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European Heart Journal. Cardiovascular Pharmacotherapy logoLink to European Heart Journal. Cardiovascular Pharmacotherapy
. 2024 Sep 5;10(7):614–645. doi: 10.1093/ehjcvp/pvae064

Update on antithrombotic therapy and body mass: a clinical consensus statement of the European Society of Cardiology Working Group on Cardiovascular Pharmacotherapy and the European Society of Cardiology Working Group on Thrombosis

Bruna Gigante 1,2,, Juan Tamargo 3, Stefan Agewall 4,5, Dan Atar 6,7, Jurrien ten Berg 8,9, Gianluca Campo 10, Elisabetta Cerbai 11,12, Christina Christersson 13, Dobromir Dobrev 14,15,16, Péter Ferdinandy 17,18, Tobias Geisler 19, Diana A Gorog 20,21, Erik L Grove 22,23, Juan Carlos Kaski 24,25, Andrea Rubboli 26, Sven Wassmann 27, Håkan Wallen 28,29,3, Bianca Rocca 30,31,32,✉,3
PMCID: PMC12635471  PMID: 39237457

Abstract

Obesity and underweight are a growing health problem worldwide and a challenge for clinicians concerning antithrombotic therapy, due to the associated risks of thrombosis and/or bleeding. This clinical consensus statement updates a previous one published in 2018, by reviewing the most recent evidence on antithrombotic drugs based on body size categories according to the World Health Organization classification. The document focuses mostly on individuals at the extremes of body weight, i.e. underweight and moderate-to-morbid obesity, who require antithrombotic drugs, according to current guidelines, for the treatment or prevention of cardiovascular diseases or venous thromboembolism. Managing antithrombotic therapy or thromboprophylaxis in these individuals is challenging, due to profound changes

in body composition, metabolism and organ function, and altered drug pharmacokinetics and pharmacodynamics, as well as weak or no evidence from clinical trials. The document also includes artificial intelligence simulations derived from in silico pharmacokinetic/pharmacodynamic models, which can mimic the pharmacokinetic changes and help identify optimal regimens of antithrombotic drugs for severely underweight or severely obese individuals. Further, bariatric surgery in morbidly obese subjects is frequently performed worldwide. Bariatric surgery causes specific and additional changes in metabolism and gastrointestinal anatomy, depending on the type of the procedure, which can also impact the pharmacokinetics of antithrombotic drugs and their management. Based on existing literature, the document provides consensus statements on optimizing antithrombotic drug management for underweight and all classes of obese patients, while highlighting the current gaps in knowledge in these complex clinical settings, which require personalized medicine and precision pharmacology.

Keywords: Obesity, Obesity classes, Underweight, BMI, Antithrombotic drugs, Antiplatelet drugs, Cardiovascular diseases, Cardiovascular diseases, Drug variability, Artificial intelligence drug modelling

Graphical Abstract

Graphical Abstract.

Graphical Abstract

Risks of thrombosis and bleeding, antithrombotic drug management, and supporting type of evidence across body size categories. From left to right: a causal relationship between obesity and deep vein thrombosis (DVT) risk has been suggested by Mendelian randomization studies. Generally, DVT risk linearly increases from underweight to the highest body mass index classes. Despite the low risk of underweight individuals, underweight seems to have a worse prognosis once venous thrombosis has occurred. The risk of arterial thrombosis increases from normoweight to severe obesity, while the risk associated with being underweight remains less clear, possibly mimicking a U-shaped relationship. A U-shaped relationship seems to describe the risk of major bleeding associated with body size. However, the anatomical site and type of bleeding, underlying risk factors, and prognosis differ at the two extremes. Optimizing the dosing of antithrombotic drugs both in underweight and class ≥2 obese individuals is supported by pharmacokinetic/pharmacodynamic (PK/PD) studies and data from post hoc analyses of randomized studies, observational, and registry data as well as by artificial intelligence simulations of in silico PK/PD models generated by population and randomized clinical trial experimental measurements. In underweight individuals, most evidence indicates better safety of reducing the daily doses of standard, fixed-dose antithrombotic drugs, while increasing the fixed dose is suggested for those in class ≥2 obesity. For body weight-adjusted antithrombotic drugs, individuals with higher classes of obesity may be overdosed due to a major imbalance between lean and fat mass that has a major impact on drug PK and bioavailability. On the other hand, if capping is us-//-ed, this may result in underdosing at the upper extreme of body size. Further details are reported in the Central Tables 1 and 2. LMWH, low-molecular-weight heparin; OAC, oral anticoagulation; UFH, unfractionated heparin.


Abbreviations

ABCD-GENE

Age, Body Mass Index, Chronic Kidney Disease, Diabetes Mellitus, and Genotyping

ACS

acute coronary syndrome

ACT

activated clotting time

ADAPTABLE

Aspirin Dosing: A Patient-Centric Trial Assessing Benefits and Long-Term Effectiveness

AF

atrial fibrillation

AI

artificial intelligence

AM

active metabolite

aPTT

activated partial thromboplastin time

ASCEND

A Study of Cardiovascular Events in Diabetes

AUC

area under the curve

BARC

Bleeding Academy Research Consortium

b.i.d.

bis in die (twice daily)

BMI

body mass index

BS

bariatric surgery

BW

body weight

CAD

coronary artery disease

CCS

chronic coronary syndrome

CHANCE

Clopidogrel in High-Risk Patients with Acute Nondisabling Cerebrovascular Events

CPB

cardiopulmonary bypass

CYP

cytochrome P-450

CVD

cardiovascular diseases

DAP

dual antithrombotic therapy

DAPT

dual antiplatelet therapy

DDI

drug–drug interaction

DOAC

direct oral anticoagulants

DPI

dual pathway inhibition

DVT

deep vein thrombosis

ELDERLY-ACS

Early Aggressive Versus Initially Conservative Therapy in Elderly Patients With Non-ST-Elevation Acute Coronary Syndrome

ENGAGE-AF TIMI48

Effective Anticoagulation with Factor Xa Next Generation in Atrial Fibrillation–Thrombolysis in Myocardial Infarction

ERAS

enhanced recovery after surgery

GLP-1RA

glucagon-like peptide-1 receptor agonist

GPI

glycoprotein IIb/IIIa inhibitor

HOST-EXAM

Harmonizing Optimal Strategy for Treatment of Coronary Artery Disease EXtended Antiplatelet Monotherapy

HR

hazard ratio

IBW

ideal body weight

ICH

intracerebral haemorrhage

INR

international normalized ratio

ISAR-REACT

Intracoronary Stenting and Antithrombotic Regimen: Rapid Early Action for Coronary Treatment

IV

intravenous

LBW

lean body weight

LMWH

low-molecular-weight heparin

MU

marginal ulceration

NSTEMI

non-ST-elevation myocardial infarction

OAC

oral anticoagulants

od

once daily

OR

odds ratio

PAD

peripheral artery disease

PCC

prothrombin complex concentrate

PCI

percutaneous coronary intervention

PD

pharmacodynamic

PE

pulmonary embolism

PK

pharmacokinetic

PPI

proton pump inhibitors

PRU

platelet reactivity unit

RAM

risk assessment model

RCT

randomized clinical trial

RECOVERY

Randomized Evaluation of COVID-19 Therapy

RYGB

Roux-en-Y gastric bypass

SAPT

single antiplatelet therapy

SG

sleeve gastrectomy

STEMI

ST-elevation myocardial infarction

TAT

triple antithrombotic therapy

TAVI

transcatheter aortic valve implantation

TICO

Ticagrelor Monotherapy After 3 Months in Patients Treated With New Generation Sirolimus-Eluting Stent for Acute Coronary Syndrome

TROPICAL-ACS

Testing Responsiveness to Platelet Inhibition on Chronic Antiplatelet Treatment for Acute Coronary Syndromes

TTR

time in therapeutic range

UFH

unfractionated heparin

Vd

volume of distribution

VKA

vitamin K antagonist

VTE

venous thromboembolism

WHO

World Health Organization

Introduction

The obesity epidemics continue to rise worldwide (globesity),1,2 favoured by ‘obesogenic’ environments. In 2019, the prevalence of obesity in Europe ranged between 11% (Italy) and 26% (Ireland) for women, and between 11% (Romania) and 30% (Malta) for men,3 with high obesity-related health care costs and loss in productivity (∼€70 billion in 2016).4 The COVID-19 pandemic has emphasized the globesity burden,5 while fighting obesity might increase the prevalence of underweight children and adolescents, the so-called ‘dual burden household’.6 Particularly, severe obesity (Table 1) is rising in Europe and North America.7,8 Notably, severely obese individuals aged 50–75 years have an ∼30% reduction of life in good health and half the years without chronic disease compared with non-obese individuals.9 Conversely, the prevalence of underweight adult men and women has decreased, reaching <2% in the USA.10 In Asia, the double burden of under- and overweight is shifting toward obesity.11

Table 1.

Classifications of different body mass categories in men and women according to the World Health Organization

Classification Body mass index (kg/m2)a Body weight (kg) or ideal body weightb
Underweight <18.5
Subcategories:
Mild thinness 17–18.49
Moderate thinness: 16–16.99
Severe thinness: <16
<60 kg or ≤56.2 kgc
Normal weight 18.5–24.99
Asian populationd 18.5–22.9
≥60 up to 70 kge
or
>56.3 up to 76.6 kgc
Overweight (pre-obesity) 25–29.99
Asian population >23 to 24.99
>70 up to 100 kge
or
76.7 up to 92.0 kgc
Obesity (overall) ≥30
Asian population >25 to 27.5
>100e or ≥92.1 kgc or
>20% than the ideal body weightb
Class 1 30–34.99
Asian population >27.5 to 32.5
Class 2 (moderate obesity) 35–39.99
Asian population >32.5 to 37.5
>100% than the ideal body weightb
Class 3 (severe or morbid obesity) ≥40 to 49.99
Asian population >37.5f
≥150e or ≥122.9 kgc
Class 4 d  (superobesity) ≥50 to 59.99 >225% than the ideal body weight
Class 5 g  (super-super or extreme obesity) ≥60
a

According to the WHO classification for adults (≥20 years, female and male subjects; http://www.who.int/topics/obesity/en/) unless otherwise indicated.

b

Ideal body weight according to modified Devine's formula: men: 51.65 kg + 1.85 kg/inch of height > 5 feet; women: 48.67 kg + 1.65 kg/inch of height > 5 feet.12

c

Centers for Disease Control and Prevention for adults (both male and female subjects) with a height of 5 feet 9 inches (https://www.cdc.gov/nchs/fastats/body-measurements.htm).

dMason et al.13

eThresholds often used to define underweight in RCT or clinical studies for both female and male subjects.

f

In Asian populations, additional cut-off points have been added to reflect the risk of cardiometabolic disease associated with overweight/obesity in this population.

gNguyen et al.14

The term ‘obesity paradox’ was created to imply that obesity, despite being a major cardiovascular risk factor, may confer a survival benefit in acute cardiovascular decompensation [myocardial infarction (MI) and heart failure].15 However, major methodological limitations sustain this concept: retrospective studies with intrinsic biases, no prospective studies with the ‘obesity paradox’ as a primary goal, few studies on weight change, and possible dependence on age.16 Moreover, severe obesity was uncommon when this concept was developed.17

Despite the health burden and costs, the extremes of body size remain under-represented or excluded from cardiovascular randomized clinical trials (RCTs)18 and drug development processes.19 As both obesity and underweight differently affect the risk of thrombosis, bleeding, and antithrombotic drug pharmacology,20–22 the European Society of Cardiology (ESC) Working Groups on Cardiovascular Pharmacotherapy and on Thrombosis assembled a task force to update the 2018 scientific document on antithrombotic drugs at the extremes of body mass.23 As in the previous document, we focus on patients with a clear indication for antithrombotic treatment or prophylaxis, especially with severe obesity and underweight, because of their complexity and limited evidence. We also update the pharmacology of antithrombotic drugs following bariatric surgery (BS),24 and include data from artificial intelligence (AI) in silico models and simulations of antithrombotic drug regimens at the extremes of body size.25

Methodology and definitions

The authors, selected on their complementary expertise (Supplementary material), performed a systematic review of the literature (Supplementary material online, Table S1), evaluated evidence according to the current ESC scientific document policy (Figure 1),26 and reached consensus through Delphi methodology on three rounds.27

Figure 1.

Figure 1

Scale and symbols representing the strength of advice statements, based on evidence and consensus of the writing group, as recommended for the European Society of Cardiology scientific documents.

Body size classes are defined according to the World Health Organization (WHO) based on body mass index (BMI), expressed as kilograms per square metre (kg/m2), and/or total body weight (BW) expressed in kilograms (Table 1).28 While we acknowledge the limitations of BMI metrics vs. adipose tissue imaging, waist–hip ratio or waist circumference, nevertheless, most of the evidence on antithrombotic drugs refers to BMI. We will address underweight but not frailty, which is addressed in another ESC scientific document.29

Changes in drug disposition

Obesity, especially class ≥2, can modify drug pharmacokinetics (PK), resulting in inadequate drug dosing for both fixed-dose and BW-adjusted medications (Figure 2). Since gastrointestinal transit is accelerated and gastric emptying shortened, the absorption and bioavailability of some oral drugs can be reduced.30,31 The drug's volume of distribution (Vd) can be affected by the reduced lean-to-fat ratio, thereby increasing for lipophilic drugs (Graphical Abstract). For hydrophilic drugs, like low-molecular-weight heparin (LMWH), Vd nonlinearly increases with BW. Thus, BW-adjusted dosing may result in overdosing in severely obese individuals (Figure 2). In obese subjects, drug's lipophilic characteristics further impact PK, and liver biotransformation, through some cytochrome P450 enzymes, can be reduced (Figure 2).32

Figure 2.

Figure 2

Antithrombotic drugs can be affected by marked changes in body size in each step of their pharmacokinetics, i.e. absorption, distribution, metabolism, and excretion. Underweight is commonly associated with comorbidities, reduced renal function, and changes in plasma proteins. Severe obesity is associated with relevant changes in the gastrointestinal tract, body size composition (fat vs. lean mass ratio and plasma proteins), kidney, and liver functions, including the activity of the cytochrome P450 enzymes, which can impact drug absorption, distribution, biotransformation, and excretion. Bariatric surgery by inducing anatomical modifications in the gastrointestinal tract and metabolic changes can also influence each step of drug pharmacokinetics. Data post-bariatric surgery refer mainly to Roux-en-Y gastric bypass surgery. **Oral liquid formulations should not contain non-absorbable sugars due to dumping syndrome risk; open capsules if allowed according to the summary of product characteristics. Based on Angeles et al.,33 Krogstad et al.,34 Kvitne et al.,35,36 and Sandvik et al.37 BMI, body mass index; Cmax, peak plasma concentrations; CYP, cytochrome P450; FFA, free fatty acids; GFR, glomerular filtration rate; LBT, lean body tissue; LBW, lean body weight; NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis; P-gp, P-glycoprotein; s.c., subcutaneous; t1/2, elimination half-life; TBW, total body weight; Tmax, time to reach Cmax; UDPGT, uridine diphosphate glycosyltransferase enzymes; Vd, volume of distribution.

Bariatric surgery for long-term correction of morbid obesity is increasing again after COVID.38 BS comprises restrictive [e.g. sleeve gastrectomy (SG) and adjustable gastric banding] and malabsorptive (e.g. Roux-en-Y gastric bypass-RYGB and duodenal switch) interventions that trigger nutritional deficiencies and modify drug absorption, gastrointestinal blood flow, pH, and transit time (Figures 2 and 3).33,39 Since absorption of most antithrombotic drugs occurs in the proximal small intestine and, to a lesser extent, in the distal part of the stomach, the type of BS can significantly affect antithrombotic drug PK.33

Figure 3.

Figure 3

Relevant steps in managing morbidly obese individuals who have one or more ongoing indication(s) for antithrombotic drugs and undergo bariatric surgery and some relevant points to be checked and considered before and immediately after bariatric surgery and at long-term afterwards, providing that the indication for one or more antithrombotic drug (both for treatment and prophylaxis) persists. BMI, body mass index; BW, body weight; (D)OAC, (direct) oral anticoagulant; INR, international normalized ratio; LMWH, low-molecular-weight heparin; VKA, vitamin K antagonists.

Consensus statement
Extremes of BWs or BMIs as well as BS can variably affect the PK of lipophilic and hydrophilic drugs. graphic file with name pvae064ufig1.jpg

Arterial and venous thrombosis

Obesity is a risk factor for atherothrombosis40,41 and venous thromboembolism (VTE)42,43 (Graphical Abstract). A Swedish population-based study of men born between 1945 and 1961, followed for 40 years, showed that for each standard deviation (SD) increase in BMI during childhood and puberty, there was a linear increase in VTE42 and arterial thrombosis41 in adulthood. A four-fold increase in coronary heart disease for each 5 kg/m2 BMI increase above 25 has been reported.21 In a population study, BW at 20 years and midlife was directly associated with weight gain through life and subclinical coronary atherosclerosis.41

The impact of BMI on peripheral arterial disease (PAD) is less clear. Obese patients with PAD show accelerated functional decline, while weight loss improves walking distance.40 In contrast, patients with low BMI and PAD show an increased risk of cardiovascular and all-cause mortality, limb ischaemia, and major cardiovascular events.40

Increasing BMI is associated with an increased risk of cardioembolic and non-cardioembolic stroke,44 likely secondary to the unhealthy metabolic status of severely obese patients.45,46 Class 3 obesity is particularly associated with ischaemic stroke45 compared with lower obesity classes or normal BMI, while in-hospital post-stroke mortality was lower in class 1–2 obese patients.47 Notably, in the Swedish twin registry, an obesogenic environment increased cardiovascular risk, especially in individuals without obesity-predisposing genetic variants.48

Limited data suggest that underweight (BMI <18) individuals have increased atherothrombosis22 and a 2.3-fold increased risk of cardiovascular disease (CVD) as compared with normal-weight, age-matched subjects.20

Mendelian randomization studies suggest causality of obesity on VTE49,50: for each SD increase in genetically predicted BMI, the odds ratio (OR) of VTE was 1.59 [95% confidence interval (CI): 1.20–1.93].49 In the UK Biobank, each kg/m2 BMI increase was associated with a 10% increase in VTE,50 and a BMI >40 was associated with a three-fold increase in VTE [hazard ratio (HR) 3.4, 2.87–4.03] compared with normal weight.51 A recent case–control study shows that individuals with obesity classes ≥2, aged >50 years, have a 6.2-fold increased risk of VTE compared with class 1 obesity or normal BW.52 In a registry of children born between 1930 and 1989,53 a BMI >90th percentile at 7 and 13 years was associated with a ∼1.5-fold increase in future VTE compared with lower BMIs.53 In over 2 million women, pre-menopausal, class 3 obese women showed the highest VTE incidence vs. normal BMI, both antepartum (OR 2.9, 2.2–3.8) and postpartum (OR 3.6, 2.9–4.6), while underweight showed an opposite trend.54

Underweight individuals show a low risk of VTE55 (Graphical Abstract), but higher all-cause mortality and bleeding post-VTE as compared with normal-weight subjects.56 Medically ill, severely underweight patients (BMI 15) have a three-fold increase in VTE during 77-day follow-up vs. reference BMI (28), unlike class 1 to 3 obese subjects.57

Consensus statements
Obesity increases the risk of atherothrombosis.41–43,48,53 graphic file with name pvae064ufig2.jpg
Mendelian randomization studies suggest causality of obesity on VTE.49,50 graphic file with name pvae064ufig3.jpg
Higher obesity classes show the greatest VTE risk.54,55 graphic file with name pvae064ufig4.jpg
Underweight is associated with a lower risk of VTE,54,55 but with a higher rate of post-VTE complications, including mortality.56,57 graphic file with name pvae064ufig5.jpg
Whether underweight increases the risk of atherothrombosis is uncertain.22 graphic file with name pvae064ufig6.jpg

Thrombosis after surgery

A BMI <18 or >50 showed the highest VTE incidence after general surgery, with a U-shaped curve.58,59 After orthopaedic surgery, patients with class ≥2 obesity showed a two-fold increase in pulmonary embolism (PE) vs. normoweight individuals.60 In >5 million individuals undergoing major surgery, patients of all obesity classes had a higher risk of VTE, but not of bleeding, compared with normal weight.61

During 30 days post-BS in 600 000 morbidly obese subjects (∼20% BMI >50), VTE occurred in 0.3% of patients after SG and 0.4% after RYGB.62 In ∼20 000 post-BS patients, VTE doubled in individuals with a pre-surgery BMI >50 compared with a BMI 35–50, regardless of age.63 In >350 000 patients from a US registry, VTE was higher in individuals with a BMI >60 undergoing laparoscopic RYGB or SG (ORs 1.85, 1.40–2.44, and 1.62, 1.32–1.99, respectively) vs. a BMI of 35–50.64 VTE increased after laparoscopic RYGB, but not SG, in patients with a BMI between 50 and 59 compared with a BMI between 35 and 49.9.64 Moreover, BS lowers long-term thrombotic risk. In 566 individuals with an average BMI of 40 and previous MI undergoing BS (RYGB or SG), major adverse cardiovascular events (MACEs) were reduced by 56% during 8-year follow-up vs. controls.65 Similarly, in a recent meta-analysis, long-term CVDs were reduced after all types of BS vs. non-BS-treated obese individuals.66

Consensus statements
Obesity classes ≥2 are associated with the highest risk of VTE following major general as well as bariatric surgeries.63,64 graphic file with name pvae064ufig7.jpg
BS appears to lower long-term cardiovascular complications.65,66 graphic file with name pvae064ufig8.jpg

Bleeding

Intracerebral haemorrhage (ICH) seems to differ at BMI extremes. Deep ICH/microbleeds seem linked with obesity, partly for associated hypertension, and with underweight67,68 with a U-shaped relationship (Graphical Abstract). Lobar ICH is associated with low BW, while a BMI ≥25 was reported to protect against haemorrhagic transformation of ischaemic stroke and was associated with better outcomes in Asians.68

A BMI >30 was associated with a worse course after non-variceal upper gastrointestinal bleeding, a significant increase in endoscopic interventions and resource utilization compared with non-obese subjects, but mortality was similar.69

Bleeding after invasive procedures

After coronary artery bypass graft surgery (CABG), bleeding is inversely associated with BMI from underweight to a BMI >40.70 Consistently, severe obesity (BMI ≥40) was associated with reduced post-operative bleeding in 12 330 post-CABG patients,70 while lower BMIs required more blood and cryoprecipitate transfusions.71 In >95 000 post-CABG patients, bleeding significantly contributed to peri-operative mortality and early post-operative morbidity only in the low-weight group.72 Despite a reduction in bleeding at higher BMIs, higher long-term mortality was associated with both underweight and severe obesity post-percutaneous coronary intervention (post-PCI).73

Transradial access for coronary angiography and PCI is associated with fewer bleeding and access site complications, including in those with extreme BMIs (i.e. <18.5 and ≥40).74 In transcatheter aortic valve implantation (TAVI), there is an L-shaped relation with BMI, and overweight class 1 patients show the lowest mortality and complication rates,75 with no additional protective effects for higher obesity classes.76 However, in observational studies and TAVI registries, severe obesity is ∼15%, thus under-represented.77,78 Whether transcarotid is safer than transfemoral access across all obesity classes is unknown.79,80 A recent registry suggests lower 5-year mortality of surgical vs. TAVI aortic valve replacement in class 1–2 obese subjects.81 However, this was not confirmed in RCTs including only obesity class 1.82

In predominantly elderly, TAVI patients, being underweight seems also a frailty discriminator, partly explaining worse outcomes and safety.83,84 In 42 000 US patients, a BMI <19 showed a higher relative risk (RR) of 1.57 (1.27–1.95) of in-hospital blood transfusion post-TAVI, vs. normoweight.85 Recent analyses suggest higher complications for a BMI <20,86 while mortality appears comparable to other BMI classes.75

After BS, bleeding occurs in 0.8–5.8% of patients depending on the approach (endoscopic and open), type of BS, and follow-up duration. Early post-operative bleeding usually associates with staple-line leakage,87 while later bleeding (>6 weeks post-BS) relates to marginal ulceration (MU) at the gastrojejunal anastomosis,87 reported in 0.6–16% of patients post-RYGB, which worsens outcomes.88 Proton pump inhibitors (PPIs) can prevent MU bleeding.88

Consensus statements
Most evidence indicates a U-shaped relationship between the extremes of BMI and unprovoked bleeding.67,68 graphic file with name pvae064ufig9.jpg
Obesity may be associated with reduced nonaccess site bleeding after TAVI.76,84,85,89 graphic file with name pvae064ufig10.jpg
A tight control of risk factors, e.g. blood pressure to prevent ICH, post-operative care, gastroprotection, and choice of access site (radial for PCI) are advised to reduce bleeding risk at the extremes of body size.79,80,90 graphic file with name pvae064ufig11.jpg

Oral anticoagulants

Vitamin K antagonist

Obesity can affect the PK of warfarin, phenprocoumon and acenocoumarol (Figure 2). Retrospective studies showed that class 3 obese patients require a longer time to achieve therapeutic international normalized ratio (INR), and ∼20% higher weekly maintenance doses than normal-weight individuals.91 In 10 167 post-VTE patients, BMI and time in therapeutic range (TTR) were linearly correlated, with the lowest TTR in patients with a BMI <25 or a BW <60 and the highest TTR in class 2–3 obesity92 (Graphical Abstract and Central Table 1), which can also partly explain the ‘obesity paradox’ of better outcomes in vitamin K antagonist (VKA)-treated obese patients, although more VKA-specific pathways can be involved.93

Central Table 1.

Anticoagulant (oral and parenteral) and fibrinolytic drugs in underweight and different classes of obesity, including normal body size as references

Normal weight Obesity
Underweight (reference) Class 1 Class 2 Class ≥3
Anticoagulant drugs
 VKA More frequent INR monitoring
Caution for bleeding risk of underweight
INR-adjusted regimen No change More frequent INR monitoring More frequent INR monitoring also during drug reversal
 Apixaban 2.5 mg b.i.d. if BW <60 kg and ≥80 years or serum creatinine ≥133 micromol/L (AFib)
Caution for bleeding risk of underweight
Consider monitoring peak and/or trough for severe underweight
10 mg b.i.d. (acute VTE)
5 mg b.i.d. (AFib and up to 6 months post-VTE)
2.5 mg (>6 months post-VTE)
No change Insufficient data to suggest changes Suggest monitoring peak and/or through anti-Xa activity if used, and if concentrations are too low, switch to VKA
 Rivaroxaban No change if preserved renal functiona
Consider monitoring peak and/or trough for severe underweight
Unknown efficacy and safety. Caution due to high bleeding risk
20 mg o.d. (Afib and VTE >21 days)
15 mg b.i.d. (acute VTE)
10 mg o.d. (>6 months post-VTE)
2.5 mg b.i.d. (stable CAD/PAD; post-ACS)
No change
No change
No change
No change
Suggest monitoring peak and/or through anti-Xa activity if used, and if concentrations are too low, switch to VKA
Unknown efficacy and safety
 Edoxaban 30 mg o.d. if BW ≤60 kg
Caution for bleeding risk of underweight
Consider monitoring peak and/or trough for severe underweight
60 or 30 mg o.d. (AFib and VTE) No change Possibly check peak and/or through anti-Xa activity Suggest monitoring peak and/or through anti-Xa activity if used, and if concentrations are too low, switch to VKA
 Dabigatran 110 mg if reduced renal function or at high risk of bleeding. Caution for bleeding risk of underweight
Consider monitoring peak and/or trough for severe underweight
150 mg b.i.d. (AFib and VTE)
110 mg b.i.d. (AFib and VTE if ≥80 years or eGFR <50 mL/min)
No change Possibly check ECT or dTT Suggest monitoring peak and/or through ecarin clotting time or diluted thrombin time if used, and if concentrations are too low, switch to VKA
 LMWH fixed dosing (thromboprophylaxis) Limited data
Risk of overdosing, consider measure anti-Xa activity
Enoxaparin 40 mg o.d.
Dalteparin 5000 IU o.d.
Tinzaparin 4500 IU o.d.
No change Increase daily dose or frequency (b.i.d.) in patients at high riskb:
Enoxaparin: 40 mg b.i.d.
Dalteparin: 7500 o.d.
Consider measuring anti-Xa activity
Increase dose
Enoxaparin: 40–60 mg b.i.d.
Dalteparin: 5000 U b.i.d.
Consider measuring anti-Xa activity
Tinzaparin: BW-adjusted dose of 50–75 IU/kg may be considered
 LMWH  
(ACS and VTE treatment)
No change but limited data
Consider measuring anti-Xa activity
VTE treatment: Enoxaparin: 1 mg/kg b.i.d.
Dalteparin 200 IU/kg o.d. or divided in b.i.d.
Tinzaparin 175 IU/kg o.d. or divided in b.i.d.
ACS:
Enoxaparin 1 mg/kg b.i.d.
Dalteparin 120 IU/kg b.i.d.
(dose capping at 10 000 IU b.i.d.)
VTE treatment: no change
(for dalteparin limited data, consider dose capping at 20 000 IU)
VTE treatment (b.i.d. dosing)
Enoxaparin: reduce dose by ∼20% (most data in BMI >40)
Consider measuring anti-Xa activity
Tinzaparin: limited data at BW >140 kg
Consider measuring anti-Xa activity
Dalteparin: limited data, consider dose capping and measuring anti-Xa activity, consider using another LMWH
ACS: unknown if reduced dose/dose capping, consider measuring anti-Xa activity
 UFH  
(VTE treatment and ACS)
No change
Careful aPTT or ACT monitoring for possible overdosing
Before coronary angiography: 60–70 IU/kg i.v. bolus (max 5000 IU) and 12–15 IU/kg/h infusion (max 1000 IU/h) monitoring aPTT
During PCI: 70–100 IU/kg i.v. in patients not anticoagulated, 50–70 IU/kg if concomitant GPI, monitor ACT
No change and
careful aPTT monitoring for possible under- and overdosing
 Fondaparinux Contraindicated or generally avoided Thromboprophylaxis: 2.5 mg o.d.
VTE: 7.5 mg o.d.
ACS 2.5 mg o.d.
No change or for VTE 10 mg o.d.c if BW >100 kg VTE: 10 mg o.d.c
ACS: 2.5 mg o.d.
Prophylaxis: 2.5 mg o.d. (limited data)
Limited data for all indications, use LMWH
Fibrinolytic drugs
 All fibrinolytic drugs  
(acute MI, PE)
Appropriate measure BW to avoid overdosing Depends on the agent used Appropriate measure BW to avoid underdosing Limited data
 Streptokinase Higher likelihood of achieving artery patency at 62 kg vs. normal BW 1.5 × 106 IU i.v. infusion w/out heparins (30–60 min STEMI, 60 min mechanical heart thrombosis; 120 min for PE) No change Worse artery patency for BW 100–105 kg vs. 62 kg No data >120 kg
 Alteplase For patients <65 kg in STEMI
15 mg bolus, then 0.75 mg/kg over 30 min (up to 50 mg), then 0.5 mg/kg over 60 min (maximum 35 mg)
Patients >65 to 67 kg STEMI fixed dosing: 15 mg bolus, 50 mg over 30 min, then 35 mg over 60 min (max 100 mg)
Stroke: 0.9 mg/kg
Massive PE: 100 mg
Fixed regimen as in normal BW for STEMI Stroke: ceiling dose of 90 mg STEMI: ceiling dose of 100 mg
Stroke: ceiling dose of 90 mg (stroke)
No data
 Tenecteplase STEMI: <60 kg: 30 mg and consider associated bleeding risk STEMI: 60 to <70 kg: 35 mg; 70 to <80 kg: 40 mg
Stroke: 0.25 mg/kg
Half dosing in patients older than 75 years
STEMI: 80–90 kg, 45 mg STEMI >90 kg: 50 mg STEMI: no data available
Increase of clearance with increasing BW

Underweight, normoweight, and obesity classes as defined in Table 1. ‘No change’ refers to the same treatment as in normal BMI/BW subjects as reference population.

AFib, atrial fibrillation; AI, artificial Intelligence; ACS, acute coronary syndromes; b.i.d., bis in die; CAD, coronary artery diseases; IU, international units; LMWH, low-molecular-weight heparin; o.d., once daily; PAD, peripheral artery disease; PD, pharmacodynamics; PK, pharmacokinetics; UFH, unfractionated heparin; VKA, vitamin K antagonist; VTE, venous thromboembolism.

aCaution for bleeding risk of underweight: 15 mg o.d. possibly considered >21 days post-VTE days, until extended treatment.

bFor example, in bariatric surgery, previous VTE, strong family history of VTE, and thrombophilia.

cShould not be used if moderately (eGFR <60 mL/min/1.73 m2), severely (eGFR <30 mL/min/1.73 m2) reduced renal function.

Small studies on VKA-treated underweight patients indicate a shorter interval to therapeutic INR, a lower weekly maintenance dose,94 and a poor TTR (mainly supratherapeutic INR).92,95 Warfarin-treated, atrial fibrillation (AF) underweight patients had twice the risk of thrombotic, but not bleeding, outcomes.92,95

A meta-analysis including 160 morbidly obese patients on warfarin for VTE, prosthetic mechanical valve, or AF, who underwent BS, showed that weekly warfarin dose consistently drops in the first 3 months post-BS, then slowly increases and stabilizes within 1 year, but remains lower than pre-BS.96 The fast reduction in the warfarin dose post-BS can depend on anatomical upper gastrointestinal, metabolic, and nutritional changes.30,31 Following BS, gastrointestinal bleeding was reported in 17 out of 160 patients on warfarin, with no thrombotic events, emphasizing the risk of upper gastrointestinal bleeding and MU post-BS, exacerbated by warfarin, and the importance of gastroprotection (Figure 3).88

Prothrombin complex concentrate (PCC) dosing to reverse INR and VKA in case of major bleeding is usually BW-adjusted and capped at a fixed dose for BW ≥100 kg. Recent studies have questioned the efficacy of four-factor PCC capping,97 but more studies are needed to assess safety and efficacy of the uncapped, BW-based dosing across the entire BW spectrum. Limited data suggest that the timing for VKA reversal (INR <2) with vitamin K is similar between normal BW and all obesity classes.98

Consensus statements
Underweight and obesity class ≥2 affect loading and maintenance doses for all VKAs. More frequent INR monitoring and dose adjustment are advised, during the starting and maintenance periods.91,92,94,95,99 graphic file with name pvae064ufig12.jpg
Following BS, it is advised to resume VKA with a reduction in the weekly dose by ∼30% as compared with pre-surgery, to monitor INR frequently in the 12 months post-surgery and to use gastroprotection, preferably with a PPI.30,31,88,96 graphic file with name pvae064ufig13.jpg
Following BS, switching from parenteral to oral anticoagulation [VKA or direct oral anticoagulant (DOAC)] is advised when patients are post-surgically and nutritionally stabilized. graphic file with name pvae064ufig14.jpg
In class 1–2 obese individuals with major bleeding while on VKA, it is advised to administer four-factor PCC at BW-adjusted over fixed dosing, with prompt and frequent INR monitoring.100,101 graphic file with name pvae064ufig15.jpg

Direct oral anticoagulants

In patients with AF, efficacy and effectiveness of DOACs appear comparable to VKA at the extremes of BMI. In AF patients participating in the major RCTs of DOACs vs. VKA, the median BMI was 28.3 (25.2–32.2) and class 3 obesity ranged between 4.3% to 5.5%; thus, the number of those patients and events in each trial was small.95,102 A recent meta-analysis of the four major RCTs, totalling 89 494 patients with AF, reported that a combined endpoint of stroke, systemic embolism, death, and bleeding, i.e. the net clinical outcome, was lower with DOAC vs. warfarin (HR 0.91, 95% CI, 0.87–0.95) in the whole obese (BMI ≥30) subgroup.102 However, this composite benefit was attenuated at the highest BMIs (e.g. class ≥3, Ptrend 0.001) largely driven by a slight increase in major bleeding; thus, safety was weakened for AF, class 3 obese individuals on DOACs as compared with VKA.102 Another recent meta-analysis on 18 studies (16 observational), totalling 287 125 AF patients, showed a more favourable benefit and risk profile of DOAC vs. VKA in obese subjects, overall and across the three obesity classes, except for systemic thromboembolism, which was similar between the two treatments in class 3 obesity.103 A previous meta-analysis of 89 494 patients with AF and class 3 obesity only reported that both stroke/systemic embolism (OR 0.71, 0.62–0.81) and major bleeding (0.60; 95% CI: 0.46–0.78) were lower with DOAC than with warfarin.104 A retrospective cohort of 5183 patients with AF, grouped for a BMI <30, 30–40 (n = 2137), and >40 (n = 358), showed similar efficacy and safety of DOACs across the categories, although class 3 patients were few.105 A Swedish nationwide study on 26 047 patients with AF, all on DOACs, showed a U-shaped relationship between BMI and major bleeding, with an increased risk at both a BMI <18.5 and obesity class 3.106 Additional studies are reported in Table 2.

Table 2.

Studies on efficacy and safety of vitamin K antagonists vs. direct oral anticoagulants in atrial fibrillation and venous thromboembolism across the spectrum of body mass

Reference Study design Intervention and control Populations under study Key findings and source of bias
Kushnir et al., 2019107 Retrospective study
(n = 795)
DOAC vs. warfarin AF or VTE
BMI
≥40 (n = NA)
Comparable efficacy and safety of DOAC vs. warfarin in severely obese patients with AF or VTE
Lee et al., 2019108 Propensity score matching (n = 21 589) DOAC vs. warfarin AF
BW ≤60 kg (n = 21 589)
Better efficacy and safety of DOAC vs. warfarin in AF patients with underweight
Single ethnicity, translation to other ethnicities not studied
Kido et al., 2020109 Meta-analysis of
1 RCT and 4 observational studies
DOAC vs. warfarin AF
BMI >40
(n unknown)
Or BW >120
(n unknown)
Comparable efficacy but better safety of DOAC vs. warfarin in severely obese patients with AF
No considerations based on obesity classes
Boriani et al., 202095 ENGAGE-AF
(n = 21 028)
Post hoc analysis
Edoxaban vs. warfarin AF
BMI
≥30 to <35 (n = 5209)
≥35 to <40 (n = 2099)
≥40 (n = 1149)
Comparable efficacy and safety of edoxaban vs. warfarin across class 1–3 obesity in patients with AF
Perino et al., 2021110 Retrospective
study
(n = 51 871)
DOAC vs. warfarin VTE
BW
<60 (n = 1632)
≥60 to <100 (n = 30 645)
≥100 to <120 (n = 12 660)
≥120 to <140 (n = 4767)
≥140 (n = 2167)
Comparable efficacy and safety of DOAC vs. warfarin in severely obese patients with VTE
Soyombo et al., 202191 Retrospective
study (n = 433)
Warfarin Obesity classes:
Normal (n = 40)
Overweight (n = 111)
Obesity class 1 (n = 135)
Obesity class 2 (n = 45)
Obesity class 3 (n = 99)
Increased warfarin doses required with higher obesity classes
Cohen et al., 2021111 RCT AMPLYFY
(n = 5384)
Post hoc analysis
Apixaban vs. warfarin VTE
BW ≤ 60 (n = 476)
>60 to <100 (n = 3868)
≥100 to <120 (n = 750)
≥120 (n = 290)
Comparable efficacy and safety of apixaban vs. warfarin across body weight subgroups in patients with VTE
Katel et al., 2021112 Systemic review and meta-analysis of 5 observational studies DOAC vs. warfarin VTE
BMI ≥40 (n = 542) or
BW ≥120 (n = 6100)
Comparable efficacy and safety of DOAC vs. warfarin in severely obese patients with VTE
No considerations based on obesity classes
Mhanna et al., 2021104 Systemic review and meta-analysis of 10 observational studies and 2 RCTs (n = 89 494) DOAC vs. warfarin AF
BMI ≥40
(n unknown) or
BW ≥120
(n unknown)
Better efficacy and safety of DOAC vs. warfarin in severely obese patients with AF
No considerations based on obesity classes
Nakao et al., 2022113 Retrospective
propensity score matching
(n = 29 135)
DOAC vs. warfarin AF
BMI
<18.5 (n = 585)
≥18.5 to <25 (n = 8427)
≥25 to <30 (n = 10 705)
≥30 to <35 (n = 5910)
≥35 (n = 3508)
Comparable efficacy and safety of DOAC vs. warfarin across obesity classes 1–3 in patients with AF
Zhang et al., 2023114 Meta-analysis of 11 observational and 2 RCT studies DOAC vs. warfarin VTE
BMI ≥40 (n = 6902)
Weight ≥120 kg (n = 7746)
Efficacy and safety of DOAC vs. warfarin were improved in severely obese patients with VTE
No considerations based on obesity classes
Salah et al., 2023115 Meta-analysis of 12 observational studies DOAC vs. warfarin AF
BMI
≥30/≥40 (n unknown)
Better efficacy of DOAC vs. warfarin in severely obese patients with AF
No considerations based on obesity classes
Elad et al., 2023105 Retrospective
study
(n = 5183)
DOAC AF
BMI groups
<30 (n = 2688)
≥30 to <40 (n = 2137)
≥40 (n = 358)
Comparable efficacy and safety of DOAC across obesity classes in AF patients
Fritz Hansson et al., 2023106 Retrospective study
(n = 26 047)
DOAC AF
BMI groups
18.5 to <25 (n = 13 346)
25 to <30 (n = 22 269)
30 to <35 (n =13 909)
35 to <40 (n = 5440)
≥40 (n = 2902)
Comparable effect of DOAC vs. VKA on stroke across obesity classes except for class 3. Trend for higher mortality and lower net clinical outcome in DOAC-treated patients in class 3 obesity
Din et al., 202392 Retrospective
study
(n = 10 167)
Warfarin VTE
BW
<60 (n = 201)
≥60 to <100 (n = 5541)
≥100 to <120 (n = 2707)
≥120 to <140 (n = 1137)
≥140 (n = 581)
Comparable TTR for warfarin across obesity classes in patients with VTE
Patel et al., 2024102 Meta-analysis of 4 phase 3 RCTs DOAC vs. warfarin AF
BMI as a continuous variable as well as grouped in
18.5 to <25 (n = 9101)
25 to <30 (n = 9970)
30 to <35 (n = 4280)
35 to <40 (n = 1486)
≥40 (n = 608)
Efficacy of DOAC vs. warfarin in atrial fibrillation was consistent all BMI and BW categories, whereas safety tended to be reduced at a higher BMI and BW as well as the composite the net clinical outcome combining efficacy and safety endpoints, including death

AF, atrial fibrillation; BMI, body mass index (kg/m2); BW, body weight (kg); DOAC, direct oral anticoagulants; NA, not available; TTR, time in therapeutic range; VTE, venous thromboembolism.

For VTE, a post hoc analysis of a phase 3 RCT showed similar efficacy and safety between apixaban and enoxaparin/VKA across all BMI categories, although class 3 obesity was <5% of the trial population with five thrombotic events.111 A recent meta-analysis including 13 studies of patients with VTE and a BMI ≥40 or a BW ≥120 showed a lower risk of both recurrent VTE and major bleeding associated with anti-Xa DOACs vs. VKA (OR 0.72, 95% CI 0.57–0.91, and 0.74, 95% CI 0.58–0.95, respectively),114 while in another cohort of 51 871 patients with VTE, DOAC, or VKA had similar effectiveness and safety across all BW classes, including severe obesity (BW >140, n = 2167).110 A meta-analyses of five observational studies in >6000 patients with VTE and morbid obesity showed a similar incidence between DOACs and VTE of recurrent VTE or major bleeding over 12 months after the event.112 Some data suggested higher gastrointestinal bleeding risk associated with dabigatran compared with other DOACs.116 A systematic review of patients with an indication for oral anticoagulants (OACs) concluded that rivaroxaban, apixaban, or dabigatran may be used at standard doses in all patients with a BMI <40,  whereas rivaroxaban and apixaban have more data in those with a BMI >40.117 Additional studies are reported in Table 2.

A wide variability in the peak and trough concentrations of full-dose apixaban and rivaroxaban has been consistently reported in class 3 obese patients, with many patients with drug concentrations outside the intervals measured in the main phase 3 RCTs (Tables 2 and 3).111,116,118,119 Measuring DOAC levels with specific assays can be appropriate in extremely obese and underweight classes (Central Table 1).

Table 3.

Intervals of concentration reported in phase 3 trials or summary of product characteristics for different direct oral anticoagulants according to approved indications and daily dosing

DOAC indication and dose Concentration at trough (ng/mL) Concentration at peak (ng/mL) Protein binding (%) Volume of distribution at steady state (L) LogP
Dabigatran–AF
150 mg b.i.d., 25th to 75th percentiles

110 mg b.i.d., 10th to 90th percentiles
61–143120; 200 (90th percentile)120
28–155121
117–275120

52–275121
34–35120 60–70 (moderate tissue distribution)122 5.17
Dabigatran–VTE
150 mg b.i.d., 25th to 75th percentiles
39–95120;
146 (90th percentile)120
117–275120
Apixaban–AF
5 mg b.i.d., 5th to 95th percentiles
2.5 mg b.i.d., 5th to 95th percentiles
41–230123
34–162123
91–321123
69–221123
87123 21123 2.22
Apixaban–VTE
10 mg b.i.d., 5th to 95th percentiles
5 mg b.i.d., 5th to 95th percentiles
2.5 mg b.i.d., 5th to 95th percentiles
41–335123
22–177123
11–90123
111–572123
59–302123
30–153123
Edoxaban–AF
60 mg o.d., 5th to 95th percentiles
30 mg o.d., 25th to 75th percentiles
19–62124(or 16-43)125
10–32124 (or 8-21)125
125–245126 (or 145–288)125
55–120126 (or 73–146)125
55 107 1.61
Edoxaban–VTE
60 mg o.d., 25th to 75th percentiles
30 mg o.d., 25th to 75th percentiles
10–39127
8–32127
149–317127
99–225127
Rivaroxaban–AF
20 mg o.d., 5th to 95th percentiles
15 mg o.d., 5th to 95th percentiles
25–124128
7–127129
206–347128
159–573129
90–95128 50128 1.74
Rivaroxaban–VTE
20 mg o.d., 5th to 95th percentiles
10 mg o.d., 5th to 95th percentiles
6–239128
4–51128
22–535128
7–273128
Rivaroxaban–ACS and stable atherosclerotic diseases
2.5 mg b.i.d., 5th to 95th percentiles

4–18128

13–123128

ACS, acute coronary syndromes; AF, atrial fibrillation; VTE, venous thromboembolism; logP, coefficient of partition of the drug, i.e. the ratio of the concentration of the un-ionized compound at equilibrium between organic and aqueous phases. High lipophilicity (logP >5) often contributes to high metabolic turnover, low solubility, and poor oral absorption, while low lipophilicity can negatively impact permeability and potency.

Underweight Asian patients with AF showed lower ischaemic stroke and major bleeding with DOAC vs. VKA.108 However, in a mixed-ethnicity AF cohort including 28.9% underweight patients, DOAC and VKA showed similar efficacy and safety,113 while other studies reported a higher safety of DOACs in underweight individuals as compared with VKA.130–132 In the meta-analysis of RCTs in AF, the probability of major thrombotic events was higher in the lowest BMI range, independently of the type of OAC.102 Major bleeding probability was similar in DOAC-treated patients across all BMIs (from underweight to severe obesity), while for VKA was maximal at lower BMIs.102 The probability of ICH was high in underweight individuals, independently of the OAC agent.102 In the Swedish registry of 26 047 AF, DOAC-treated patients, major bleeding and mortality were higher in underweight patients vs. normal weight.106

Simulations based on population PK models, mostly derived from RCT available measurements for the anti-Xa DOACs,133–135 did not show any major impact of extreme BWs as covariates significantly affecting PK/pharmacodynamic (PD), while low BW (<60) was often associated with reduced kidney function and affected mostly by dabigatran, as it is almost exclusively renally excreted135 (Graphical Abstract and Central Table 1).

Few data suggest that soon after BS, DOAC concentrations may be affected by malabsorption and reduced oral feeding; thus, the optimal timing for restarting DOACs post-BS is unknown.24,136 Apixaban and edoxaban are mainly absorbed in the small intestine, rivaroxaban in the stomach, and dabigatran between the lower stomach and the duodenum.39 Measuring drug levels may be useful in patients (re)starting DOACs post-BS after refeeding, also considering their high BMIs and substantial post-BS malabsorption (Figures 2 and 3).137

Idarucizumab is a humanized monoclonal antibody fragment138 reversing dabigatran, with a small extravascular distribution, administered at a fixed dose. In its small phase 3 RCT, the median BW was 75 with no data on BMI classes. Andexanet-alfa is a non-active, FXa decoy protein binding oral and parenteral anti-Xa drugs, with a Vd approximately equivalent to blood volume; therefore, minimal distribution into adipose tissue is expected. Andexanet-alfa is administered with a fixed-dose bolus followed by an infusion rate based on the anti-Xa type, time from the last drug intake and dose. In a phase 3 RCT,139 BMI averaged 27 ± 6; thus, extreme BMIs were under-represented, and without available PK studies at extreme BMIs.

Consensus statements
In patients with AF and/or VTE and obesity classes 1 and 2, DOACs show a benefit–risk profile similar to that of normal-weight individuals.92,102–104,114 graphic file with name pvae064ufig16.jpg
Based on limited data, the anti-Xa DOACs appear effective in patients with AF and/or VTE and obesity class ≥3.103,140,141 graphic file with name pvae064ufig17.jpg
In underweight patients, anti-Xa DOACs appear safer than VKA.102,130,131 graphic file with name pvae064ufig18.jpg
Due to possible high PK/PD variability, measuring DOAC concentrations at trough and/or peak is advised during maintenance, in class ≥3 obese and severely underweight patients, especially if renal function is reduced*.102,111,119–113 graphic file with name pvae064ufig19.jpg
Despite the lack of data, if a DOAC is used post-BS, measuring plasma levels at peak and/or trough may be appropriate, especially in the first 3 months post-BS.137,140 graphic file with name pvae064ufig20.jpg
After BS, in patients on single or combined antithrombotic therapy, at prophylactic or therapeutic doses, gastroprotection is advised, preferably with PPIs.88 graphic file with name pvae064ufig21.jpg
Data in patients with underweight and obesity class ≥3 on DOACs are limited and remain an area of uncertainty, especially in AF. graphic file with name pvae064ufig22.jpg
*<45 mL/min/1.73 m2

Parenteral anticoagulants

Unfractionated heparin

The highly variable anticoagulant response to intravenous (IV) unfractionated heparin (UFH) requires monitoring and dose adjustment based on the activated partial thromboplastin time (aPTT), activated clotting time (ACT), or anti-Xa assay. The 2023 ESC guidelines provide a class I recommendation for UFH in ST-elevation myocardial infarction (STEMI), and in non-ST-elevation acute coronary syndrome (NSTE-ACS) if early angiography/PCI is anticipated, with a weight-adjusted bolus without capping (70–100 IU/kg) and, for prolonged therapy, titration to target aPTT to 60–80 s.142 Timely anticoagulation during IV UFH, facilitated by dosing nomograms, is associated with reduced complications in acute VTE,143 but nomograms were developed with poor representation of obese patients. For patients with class ≥2 obesity (or a BW >160), conventional nomograms tend to generate ‘overdosing’ compared with normal or class 1 obese patients, as reflected by aPTT or anti-Xa measurements.23 Overdosing of UFH may increase bleeding and require high doses of protamine for reversal in cardiac surgery, which may then increase bleeding and transfusions.144

Body metrics other than BW to adjust dosing may be valuable. In an RCT recruiting obese patients undergoing cardiopulmonary bypass, UFH dosing was based on ideal body weight (IBW) or BW. IBW-adjusted dosing resulted in ≈15% lower UFH dose and plasma concentrations were better within the target range.145 In patients undergoing catheter ablation of AF, including class 2 obese patients, a comprehensive UFH dosing protocol considering IBW and BW showed that IBW more rapidly achieved and maintained effective ACT levels, irrespective of BMI.146 These findings suggest that body size metrics other than BW may improve UFH dosing nomograms and avoid overdosing (Graphical Abstract and Central Table 1).

Protamine reverses UFH with 1:1 posology (1 mg every 100 IU of the initial dose needed for anticoagulation), which does not directly account for UFH clearance and may lead to excessive protamine dosage. A recent RCT147 compared protamine standard dosing vs. dosing predicted by a mathematical model based on heparin clearance and IBW. A better re-coagulation profile and lower protamine administration was achieved by the IBW-based model,147 although this study included patients ≤120 kg, with no data for morbid obesity.

Consensus statements
BW-based UFH dosing appears to overdose patients with obesity class ≥2. Due to the lack of validated algorithms in these patients, appropriate estimates of BW and frequent laboratory monitoring are advised.142,145,146 graphic file with name pvae064ufig23.jpg
Nomograms adjusted for other dosing scalars, like IBW, may be appropriate to improve dosing and reduce UFH overdosing and the risk of bleeding at both extremes of body size.145,146 graphic file with name pvae064ufig24.jpg
Protamine administration nomograms in obesity class ≥2 remain an area of uncertainty. graphic file with name pvae064ufig25.jpg

Low-molecular-weight heparin

Dosing LMWH in patients with extreme BWs is challenging, as anticoagulation can fall outside the target range when a ‘normal weight’ dosing is used.148,149 Anti-Xa activity in plasma is the most common biomarker surrogate for clinical outcome of LMWH, used in several studies in obesity, while only few studies are sufficiently powered for clinical outcomes even in the normal BW range148–150 (Supplementary material online, Tables S2 and S3). Thus, the quality of evidence supporting anti-Xa testing to guide treatment and predict bleeding or thrombotic complications is low. Therapeutic intervals in obesity class ≥2 are not established or validated.151 Instead, anti-Xa assay can be used in selected cases to assess whether levels are within the expected target range developed for normal-weight individuals.

Prophylaxis

Underdosing is possible using the standard LMWH dose in obesity class ≥2, and higher fixed-dose or BW-adjusted LMWH prophylaxis may be needed to attain sufficient anticoagulation.23 In a recent meta-analysis, including 11 studies (4 RCTs) of class >2 (mean BMI 38–61) obese patients hospitalized for medical or surgical conditions, BW-adjusted heparins (UFH, enoxaparin, bemiparin, or nadroparin) provided similar VTE protection and bleeding risk as standard, fixed-dose therapy (Table 4).152 However, another meta-analysis also including a mixed population (medical, orthopaedic, and post-BS patients) revealed that prophylaxis, largely with enoxaparin, at higher-than-standard dosing significantly decreased VTE (OR 0.47, 0.27–0.82) without increasing bleeding (Table 4).153

Table 4.

Summary of the studies on heparins pre- and post-bariatric surgery

Reference Studies included Summary of the results
Cochrane Database of Systematic Reviews24 Bariatric surgery thromboprophylaxis
Higher-dose heparin vs. standard-dose heparin
Ebrahimifard 201224: A comparison between two different prophylactic doses of UFH for deep venous thrombosis prevention in laparoscopic bariatric surgery (5000 × 3 IU vs. 5000 × 2 IU) for 15 days (publication not found, only clinical registration—Iranian web site), n = 700? (unpublished data)
Imberti 201424: Prophylaxis of venous thromboembolism with low-molecular-weight heparin in bariatric surgery: a prospective, randomized pilot study evaluating two doses of parnaparin (BAFLUX Study): parnaparin 4250 vs. 6400/o.d., 7–11 days, n = 258
Kalfarentzos 200124: Prophylaxis of venous thromboembolism using two different doses of low-molecular-weight heparin (nadroparin) in bariatric surgery: nadroparin 5700 IU vs. 9500 IU o.d. until discharge, n = 60
Steib 201624: Once vs. twice-daily injection of enoxaparin for thromboprophylaxis in bariatric surgery: effects on antifactor Xa activity and procoagulant microparticles: enoxaparin treatment (4000, 6000, or 2 × 4000 IU, respectively, n =164)
Enoxa vs. fondaparinux
Steel 201524: The EFFORT trial, preoperative enoxaparin vs. post-operative fondaparinux for thromboprophylaxis in bariatric surgical patients: 40 mg enoxaparin twice daily or 5 mg fondaparinux sodium once daily. n = 198
Starting pre- vs. post-operatively
Abdelsalam 202124: enoxaparin 1 mg/kg × 1 (max 120 mg),
one group started 12 h pre-operatively, the other post-operatively 15 days, n = 100 (duplex)
Chemo + mechano vs. mechano alone
Ahmad 202124: Combined mechanical and pharmacological prophylaxis vs. mechanical prophylaxis alone. 40 mg × 1 enoxaparin 12 h before then daily for 2 weeks + mechanical, the other group on mechanical prophylaxis, n = 150, note—silent DVTS
Higher-dose heparin may result in little or no difference in the risk of
VTE (RR 0.55, 95% CI 0.05–5.99; 4 studies, 597 participants)
major bleeding (RR 1.19, 95% CI 0.48–2.96; I2 = 8%; 4 studies, 597 participants; low-certainty) in people undergoing bariatric surgery
Enoxa vs. fonda: little or no difference in the risk of
VTE (RR 0.83, 95% CI 0.19–3.61; 1 study, 175 participants) or
DVT (RR 0.83, 95% CI 0.19–3.61; 1 study, 175 participants)
Heparin started before vs. after
Heparin 12 h before surgery vs. after surgery may result in little or no difference in the risk of
VTE (RR 0.11, 95% CI 0.01–2.01; 1 study, 100 participants) or
DVT (RR 0.11, 95% CI 0.01–2.01; 1 study, 100 participants)
The evidence on major bleeding, all-cause mortality, and VTE-related mortality is uncertain (effect not estimable or very low-certainty evidence).
Chemical±mechanical prophylaxis vs only mechanical:
Combining may reduce VTE events (RR 0.05, 95% CI 0.00–0.89; NNT = 9; 1 study, 150 participants; low-certainty).
Unable to assess the effect of this intervention on major bleeding or mortality (effect not estimable), or on PE or adverse events (not measured)
Conclusion: The certainty of the evidence is limited by small sample sizes, few or no events, and risk of bias concerns
DOACs vs. ‘conventional anticoagulants’ long-term treatment (≥3 months) on broad patient population—not only obesity
Li et al., Cochrane Database of Systematic Reviews 2023154 Large-quality RCTs comparing DOACs vs. conventional
anticoagulants (VKAs, DTI, anti-Xa DOACs, UFH, LMWHs,
and fondaparinux) in the treatment of PE (≥3 months)
Probably little or no difference between DOACs and conventional anticoagulation in the prevention of recurrent PE, recurrent VTE, DVT, all-cause mortality, and major bleeding
Wang et al., Cochrane Database of Systematic Reviews 2023155 Large-quality RCTs comparing DOACs vs. conventional
anticoagulants (VKAs, DTI, anti-Xa DOACs, UFH, LMWH,
and fondaparinux) in the treatment of DVT (≥3 months)
When treating people with a DVT, current evidence shows there is probably a similar effect between DOACs and conventional anticoagulants in the prevention of recurrent VTE, DVT, and death.
Direct oral anticoagulants reduced major bleeding compared to conventional anticoagulation

ACS, acute coronary syndromes; AFib, atrial fibrillation; CI, confidential interval; DTI, direct thrombin inhibitors; DVT, deep vein thrombosis; IU, international unit; DOAC, direct Oral Anticoagulant; LMWH, low-molecular-weight heparin; NNH, number needed to harm; NNT, number needed to treat; PE, pulmonary embolism; RCTs, randomized clinical trials; RR, relative risk; UFH, unfractionated heparin; VKA, vitamin K antagonists; VTE, venous thromboembolism.

A population PK model predicted optimal anti-Xa levels for nadroparin in the prophylaxis of morbid obesity when administered on BW rather than fixed dosing.156 In a systematic review, BW-based LMWH dosing suggested in post-surgical or medical patients with obesity was: enoxaparin 0.5 mg/kg once a day (omni die) (o.d.) or bis in die (twice daily) b.i.d., tinzaparin 75 IU/kg o.d.,117 and higher prophylactic LMWH dose has also been suggested by others (3000–4000 anti-Xa IU b.i.d. for class 3 obesity in VTE prophylaxis).157

A recent retrospective study in underweight patients (<55 kg) found that reduced fixed-dose enoxaparin (30 mg o.d.) could achieve anti-Xa levels in range in 75% of patients.158 In a study of medical inpatients with a BW <45, prophylaxis with reduced, fixed-dosed enoxaparin (<40 mg o.d.) or UFH (<15 000 IU daily) was associated with fewer bleeding vs. standard doses.159

A Cochrane review and a meta-analysis on thromboprophylaxis post-BS concluded that higher-dose heparins (UFH, parnaparin, nadroparin, and enoxaparin) provided little or no additive benefit compared with standard-dose prophylaxis.24 Two meta-analyses found no support for BW-adjusted or higher-dose heparin (UFH or LMWH) to prevent VTE, but a trend towards increased risk of bleeding.160,161 A recent meta-analysis comparing augmented vs. standard LMWH dosing on VTE prophylaxis post-BS showed uncertain benefit of augmented dosing on VTE protection (OR 0.57, 0.07–4.39), extended duration (10–28 days, OR 0.54, 0.15–1.90), and increased bleeding (OR 3.03, 95% CI 0.38–23.96).162 Importantly, meta-analyses mainly included cohort studies and few RCTs; thus, outcome estimates, as reflected by wide CIs, are uncertain with high risk of bias. Among 50 patients undergoing RYGB (BMI 49.4 ± 4.4), 4-week treatment with 5700 IU nadroparin, one-third had peak anti-Xa activity below the target range, and the anti-Xa activity was significantly and inversely correlated with BW (r values: −0.410 and −0.472, for TBW and LBW, respectively). A systematic review suggested higher, fixed LMWH doses in class 3 obesity (enoxaparin 40 mg b.i.d., dalteparin 5000 IU b.i.d., or tinzaparin 75 IU/kg o.d.).117 Aside from dosing, the optimal duration of thromboprophylaxis remains unclear. Although the VTE risk following BS is low-moderate, it is high as compared with non-obese post-surgery patients and still the main cause of mortality.163,164 The majority of VTE occurs after discharge, ∼70% within the first month.163 Risk assessment models (RAM), like the Caprini score165 or the BariClot tool developed for BS,166 have been used in cohort or registry studies.

Consensus statements
It is advised to administer LMWH prophylaxis in underweight patients with caution and at reduced fixed dosing in patients with severe underweight.158,159 graphic file with name pvae064ufig26.jpg
BW-based or ‘higher than usual’ fixed doses of LMWH may be appropriate for surgical and medical prophylaxis in obesity class ≥2 or if BW >120.117,152,153,157 graphic file with name pvae064ufig27.jpg
The use of BW-based or ‘higher than usual’ fixed doses of LMWH is advised in obesity grade ≥2 or BW >120 following BS.117 graphic file with name pvae064ufig28.jpg
Extended VTE prophylaxis post-BS may be appropriate in patients at high thromboembolic risk.165,166 graphic file with name pvae064ufig29.jpg
In non-BS or medical inpatients, whether a higher-than-standard dose of LMWH for prophylaxis provides better efficacy/safety remains unproven. graphic file with name pvae064ufig30.jpg
In BS, there is no high-quality evidence supporting higher-than-standard fixed-dose prophylaxis with LMWH or UFH to provide superior efficacy/safety.24,162 graphic file with name pvae064ufig31.jpg

Therapeutic dosing

A meta-analysis153 included studies of patients with obesity on heparin for VTE, AF, or coronary artery disease (CAD) and compared BW-based standard (1 mg/kg) vs. reduced (<1 mg/kg, average 0.8 mg/kg) dosing. The reduced dose showed similar efficacy (VTE recurrence), although with wide CIs (OR 0.86, 0.11–6.84), and higher safety (major bleeding OR 0.30, 0.10–0.89) vs. the conventional dose. A comprehensive review supports reduced BW-based enoxaparin dosing (∼0.8 rather than 1/mg/kg) in morbid obesity, although data are based on anti-Xa levels.117 A recent registry of VTE treatment showed fewer complications with reduced, BW-based-dose LMWH.167

For tinzaparin the treatment dose in patients with a BW >120 has not been determined168 and for the dalteparin dose capping is indicated by the Food and Drug Administration (FDA) at a BW <56 and >99169 based on studies in cancer patients (Central Table 1). However, some guidelines suggest using BW-adjusted dosing and avoiding capping.151,170

In ACS ESC Guidelines, where acute invasive angiography is not anticipated, enoxaparin at a standard BW-based dose (1 mg/kg b.i.d.) without capping has a class 2 recommendation.142 However, based on previous studies,23 bleeding increases in patients weighing >150 kg receiving 1 mg/kg twice-daily enoxaparin vs. a reduced median dose of 0.65 mg/kg twice-daily. Consistently, an in silico PK/PD model, developed in adults and expanded to children, predicted with a small error that obese children have ∼20% higher peak anti-Xa concentrations under standard BW-based dosing compared with non-obese children, due to reduced weight-normalized clearance. Moreover, enoxaparin was better matched across age and obesity classes using fat-free BW-based dosing.171

Consensus statements
Current LMWH therapeutic regimens for VTE117 and ACS142 are BW-adjusted, with dose capping at the highest BWs. However, there is insufficient evidence that dose capping improves safety or efficacy as compared with a BW-based regimen with no capping in obesity class ≥2. graphic file with name pvae064ufig32.jpg
For obesity class ≥2, it is advised to reduce by 20%/kg in relative terms therapeutic, BW (per kg)-adjusted dose.117,153,171 graphic file with name pvae064ufig33.jpg
Measuring anti-Xa activity at peak and trough may be appropriate to manage LMWH dosing in obesity class ≥3. graphic file with name pvae064ufig34.jpg

Fondaparinux

See Supplementary material and Central Table 1.

Consensus statements
In VTE prophylaxis, fixed-dose fondaparinux is not advised if BW <50 kg.172,173 graphic file with name pvae064ufig35.jpg
Based on available evidence, using enoxaparin rather than fondaparinux is advised in class ≥2 obese subjects.174 graphic file with name pvae064ufig36.jpg

Antiplatelet drugs

Acetylsalicylic acid

An individual patient data, post-hoc meta-analysis of 10, placebo-controlled RCTs suggested a lower antithrombotic efficacy of 75–100 mg once-daily acetylsalicylic acid (ASA) in participants weighing ≥70 compared with <70 kg, while ASA doses ≥325 mg had the opposite interaction (Table 5).175 Subsequent RCTs and meta-analyses on ASA monotherapy, with pre-specified BMI- or BW-related subgroups, could not confirm the 70 kg threshold, since efficacy and safety in subgroups with a BMI <25 or >30 and/or a BW <70 or ≥70 were consistent with the main trial's populations (Table 5).176–179 In the A Study of Cardiovascular Events in Diabetes (ASCEND) placebo-controlled RCT involving diabetic patients in primary prevention,180 ASA 100 mg o.d. was significantly more effective than placebo in individuals with a BMI >30 or a BW >70 vs. lower values (Table 5). In the Aspirin Dosing: A Patient-Centric Trial Assessing Benefits and Long-Term Effectiveness (ADAPTABLE) secondary prevention, RCT, ASA 325 mg was not superior to 81 mg in reducing MACE in the overall population and in pre-specified BW subgroups below and above 70 kg177 (Table 5). However, in those RCTs, obese patients were largely class 1; thus, no outcome data are available on class ≥2 obesity. Since low-dose ASA is used to prevent thrombosis after arthroplasty,181 a large study compared standard 81 mg (n = 1097) vs. weight-adjusted dosing (n = 1187), whereby patients ≥120 kg received 325 mg ASA. In the weight-adjusted cohort, thrombosis was reduced by ∼60% at 1 and 6 months post-surgery compared with 81 mg with no differences in safety.182

Table 5.

Effect of body size and bariatric surgery on pharmacodynamics and/or clinical outcomes of acetylsalicylic acid

Reference Total population and obese individuals ASA regimen Primary endpoints Results Limitations
Rothwell et al., 2018175 Meta-analysis of RCTs of ASA in primary and secondary prevention, n = 117 279 Higher doses (300, 325, or ≥500 mg) vs. lower doses (75–100 mg) or placebo in primary prevention RCTs SVE: stroke (ischaemic, intracerebral, or subarachnoid haemorrhage), myocardial infarction, vascular death, other coronary death, and other major ischaemic vascular events, excluding unstable angina and transient ischaemic attack Low-dose ASA: <70 kg: HR for SVE 0.75 (0.65–0.85); ≥70 kg: HR 0.95 (0.86–1.04); 1.09 (0.93–1.29)
Higher doses: 325 mg ASA reduced SVE in
participants weighing ≥70 kg [HR 0.83
(95% CI 0.70–0.98), P = 0.028] and 500 mg ASA reduced SVE [0.55 (0.28–1.09), P = 0.086] and SVE or death [0.52 (0.30–0.89), P = 0.017] in ≥90 kg
Post hoc analyses
Some analyses were based on small numbers, and trials were not set up to compare ASA effectiveness for people of different weights
ASCEND trial, 2018180 15 480 with type 2 diabetes and no known SVE
Median follow-up: 7.4 years
ASA 100 mg/day, or placebo. ASA mean BMI 30.8 ± 6.2
Placebo mean BMI 30.6 ± 6.3
Pre-specified analyses for BMI <25, 25–30, and >30 and BW below or above 70 kg
SVE: MI, stroke or TIA, or vascular death, excluding any confirmed intracranial haemorrhage
Safety: major bleeding defined as BARC 2–5 type
SVE: placebo 9.6% (n = 743)
ASA: 8.5% (n = 658), HR: 0.88 (95% CI, 0.79–0.97), P = 0.01
BMI subgroups:
<25, HR 1.02 (0.81–1.28)
25–30, HR 0.97 (0.83–1.13)
>30, HR 0.76 (0.66–0.88), P = 0.01
BW subgroups:
<70, 1.17 (0.90–1.52)
≥70, 0.83 (0.75–0.92), P = 0.02
BARC 2, 3, and 5 bleeding
Control: 3.2% (n = 245)
ASA: 4.1% (n = 314)
RR 1.29; 95% CI, 1.09–1.52; P = 0.003
No heterogeneity across BMI or BW categories for major bleeding
ASA significantly reduced SVE in primary prevention, with a benefit higher than the bleeding risk (NNT/NNH 0.81)
Trend toward a superior benefit in obese class 1 patients with no increase in major bleeding, with an NNT of 35 and an NNT/NNH ratio of 0.4
Petrucci et al., 2019183 Proof of concept, intervention study including 16 healthy and morbid obese (mean BMI 39.2 ± 5.1 kg/m2) subjects ASA 100 mg o.d. for 3–4 weeks Assess whether/how BW and BMI affect the PD of ASA, as assessed by serum thromboxane B2 measurements
In silico model and simulations for ASA dosing in class ≥2 obese individuals
ASA PD assessed according to serum thromboxane B2 measured 24 h after the last ASA intake (trough level) Class ≥2 obesity associated with reduced ASA PD and platelet inhibition. Once-daily low‐dose ASA was insufficient to adequately inhibit platelet activation at BMI >35 and BW >120 kg
Log relationships between BW or BMI were log correlated with a poor ASA PD
The in silico model predicted that for class ≥2 obesity a dose of 200 mg o.d. or 100 mg b.i.d. would be needed for re-establishing an adequate response
Finneran et al., 2019184 1002 pregnant women with pre- eclampsia Double-blind, randomized, placebo-controlled trial comparison of 60 mg ASA o.d. vs. placebo PD assessed by maternal serum TXB2 levels at 3 time points: randomization (13–26 weeks’ gestation), second trimester (at least 2 weeks after randomization and 24–28 weeks’ gestation), and third trimester (34–38 weeks’ gestation Among stratified BMI low-dose ASA groups, women with class 3 obesity had the lowest odds of undetectable TXB2 levels in the second trimester [adjusted odds ratio (aOR), 0.33; 95% confidence interval (CI), 0.15–0.72] and third trimester (aOR, 0.30; 95% CI, 0.11–0.78) as well as at both time points (aOR, 0.09; 95% CI, 0.02–0.41) The 60 mg dosing is rarely used as compared with other regimens in the low-dose range (75, 81, and 100 mg)
High-risk morbidly obese women receiving low-dose ASA for the prevention of pre-eclampsia may need higher ASA dosing or frequency
Furtado et al., 2019185 438 patients on DAPT due to ACS DAPT including standard low-dose ASA once-daily, mean BW 75.6  ± 15.8 kg, mean BMI 27.3 ± 4.9 kg/m2 Assessment of serum TXB2 and platelet function testing across different quartiles of BW and BMI The highest body size quartile (either BMI or BW) associated with impaired PD The highest quartile included all obesity classes; thus, no data are available in this study in each obesity class
Woods et al., 2020186 Post hoc analysis of the ASPREE trial including 19 114, low-risk, healthy elderly subjects in primary prevention
Elderly participants weighing <70 kg (n = 6428) and ≥70 kg (n = 10 749)
Follow-up 4.7 years
Randomization: ASA 100 mg/day enteric-coated or placebo
Follow-up 4.7 years
Mean BMI in the whole trial population 28.1 ± 4.8
Primary endpoint: disability-free survival
MACE: non-prespecified, secondary endpoints, defined as coronary heart disease fatalities, other coronary, rapid cardiac, sudden cardiac but excluding cardiac failure deaths, non-fatal myocardial infarction, fatal and non-fatal ischaemic stroke
Whether body size (BMI <25 or BW <70 kg) modulated the efficacy of ASA vs. placebo 12 633/19 114 individuals ≥70 kg
Analyses by subgroups based on body size metrics were consistent with the overall trial The effect of low-dose ASA on CVD events was not contingent on BW or other measures of body size in the older participants in ASPREE
The risk of major bleeding with ASA was not attenuated in heavier individuals
Limitations: MACEs were not a primary endpoint, Class ≥2 subjects were likely not or minimally represented; non-pre-specified, post hoc analysis
Lee et al., 2021187 316 patients on dual antiplatelet therapy following angioplasty and stenting Patients with class 1 obesity and CAD Thromboxane generation and platelet reactivity to arachidonic acid The results of all tests did not differ significantly between patients without and with a body weight ≥70 kg The study suggests no changes in ASA PD in class 1 obesity
Halbur et al., 2021182 2403 patients who underwent total hip or knee arthroplasty at one institution, on for VTE prophylaxis with low-dose ASA Retrospective observational study. In the BW-based cohort, patients weighing ≥120 kg received 325 mg ASA b.i.d., those <120 kg received 81 mg b.i.d. for 4 weeks. Control cohort (n = 1156): patients received 81 mg ASA b.i.d. irrespective of BW. VTE and gastrointestinal bleeding events were identified through chart review at 42 days and 6 months post-operatively
Gastrointestinal bleeding at the same timepoints
The BW-based cohort had a significantly lesser incidence of VTE at 42 days [P = 0.03, relative risk (RR) 0.31, 95% CI 0.12–0.82] and 6 months (P = 0.03, RR 0.38, 95% CI 0.18–0.80)
No difference in gastrointestinal bleeding between the cohorts at 42 days (P = 0.69) or 6 months (P = 0.92)
Non-randomized design
Suggestion of need to factor patient BW when determining post-operative VTE prophylaxis with low-dose ASA
Hasan et al., 2021188 Observational study
420 who underwent elective knee replacement, 277 obese (BMI ≥30 kg/m2)
ASA 75 mg daily (increased to 150 mg daily) vs. apixaban 2.5 mg b.i.d. Incidence of post-operative VTE, leaking wounds during the hospital stay, and 30-day any readmission ASA was as effective as apixaban in preventing VTE and readmission, independently of body size Observational study
Jones et al., 2021177 15 076 patients with established CVD and indication for secondary prevention with ASA Randomized comparison 81 mg or 325 mg of ASA per day.
Median BW 90 kg
Primary effectiveness outcome: composite of death from any cause, hospitalization for myocardial infarction, or hospitalization for stroke, assessed in a time-to-event analysis
Primary safety outcome was hospitalization for major bleeding
No difference of efficacy among the two regimens [HR 1.02; 95% confidence interval (CI), 0.91–1.14]; no difference in safety (HR 1.18; 95% CI, 0.79–1.77).
Subgroup analysis according to BW threshold of 70 kg did not show any heterogeneity of results
Class ≥2 obesity under-represented (75th percentile of BW was 103 kg)
The subgroup analysis according to BW of 70 kg was not pre-specified
Tang et al., 2021189 Retrospective review of 1578 knee or hip arthroplasties including different BMI categories: normal (n = 335), overweight (n = 511), class 1 (n = 408), class 2 (n = 232), and class 3 (n = 92) Efficacy and safety of ASA 81 or 325 mg/day prescribed is safe and effective in obese vs. normal-weight patients undergoing arthroplasty Primary endpoint: 90-day post-operative VTE
Other endpoints: bleeding, wound complications, deep infections, and mortality
No difference in the incidence of VTE and other complications across different BMI categories Observational study, ASA doses non-randomly assigned
Puccini et al., 2023190 Cross-sectional study
Patients with chronic CAD and a normal BMI (BMI 18.5–25 kg/m2, n = 23) or obese (BMI ≥25 kg/m2, n = 41)
ASA 100 mg/day and clopidogrel 75 mg/day Evaluate the platelet reactivity in overweight and obese patients and chronic CAD treated with dual antiplatelet therapy Assessed by impedance aggregometry in patients with CCS receiving DAPT (ASA plus clopidogrel) Very small observational study
The clinical significance of platelet aggregation is currently unknown
Portela et al., 2023191 24 770 patients post-RYGB, 1911 with ASA use and 22 859 without Meta-analysis of observational and RCT studies to assess the risk of post-surgery margin ulcer associated with ASA use Incidence of marginal ulceration post-RYGB BS Patients on low-dose ASA did not have an increased risk of marginal ulcer (HR 0.56, 0.37–0.86), while those on high dose did (HR 1.90, 1.41–2.58) Low-dose ASA can be safely resumed post-BS

AA, arachidonic acid; ADP, adenosine diphosphate; ASA, acetylsalicylic acid; ASCEND, A Study of Cardiovascular Events in Diabetes; ASPREE, Aspirin in Reducing Events in the Elderly; BMI, body mass index; BS, bariatric surgery; BW, body weight (kg); CAD, coronary artery disease; CCS, chronic coronary syndromes; CV cardiovascular; CVD, cardiovascular disease; DAPT, dual antiplatelet therapy; EC, enteric-coated; FU, follow-up; HR, hazard ratio; MACE, major adverse cardiovascular events; MI, myocardial infarction; PD, pharmacodynamics; PK, pharmacokinetics; RCTs, randomized clinical trials; RR, relative risk; RYGB, Roux-en-Y gastric bypass surgery; sTXB2, serum thromboxane B2; SVE, serious vascular events; VTE, venous thromboembolism.

Consistently with RCT data, ASA PD is similar in class 1 obese vs. non-obese subjects,187 while class ≥2 obese subjects on 100 mg ASA o.d. (mean BW 111 ± 21 and BMI 39.4 ± 5.1)183 show significantly lower inhibition of cyclooxygenase activity from peripheral platelets than non-obese individuals and thus a reduced response. Residual, un-inhibited ex vivo cyclooxygenase activity in peripheral platelets appears log‐linearly associated with BMI, with a hindered PD at a BW >110 or a BMI >35.183 Consistently, patients on secondary prevention with 100 mg daily ASA and an average BW >102 or a BMI >38,192 or in the highest BMI or BW quartiles,185,193 showed lower peripheral platelet inhibition vs. non-obese individuals, and a degree of inhibition similar to non-obese subjects was obtained by doubling the o.d. dose.192,193 Notably, doubling the low-dose aspirin dose does not inhibit cyclooxygenase 2 in vivo.194,195 Among 1002 pregnant women on low-dose ASA for eclampsia, class 3 obesity was associated with significantly reduced response vs. lower BMIs.184

An in silico PK/PD model and simulations of ASA predicted a reduced platelet inhibition in moderate-to-severe obesity, which was reproduced by reducing the systemic bioavailability from 50% (as in normal subjects) down to 25%.196,197 According to the model, either doubling low-dose o.d. (e.g. 200 mg) or a twice-daily low-dose restored the PD response.196 Whether an optimal PD translates into an improved clinical benefit–risk profile remains to be established. Consistently, in the RECOVERY trial198 that randomized hospitalized COVID-19 patients to 150 mg ASA o.d. vs. placebo, the ASA dose was selected ‘to ensure sufficient inhibition of platelet cyclooxygenase-1 activity in all participants, including those who were overweight’, based on our previous document.23 Data are summarized in Central Table 2.

Central Table 2.

Antiplatelets drugs in underweight and across different classes of obesity, including normal body size as references

Obesity
Drug Underweight <18.5 kg/m2 Normal weight (reference) Class 1 Class 2 Class ≥3
ASA No change 75–100 mg o.d. No change Likely no change AI and PD studies suggest doubling the low-dose once-daily or increase low-dose dosing frequency (b.i.d.)
Clopidogrel No change 75 mg o.d. No change Reduced AM formation especially in poor metabolizers. Suggest changing drug or doubling the daily dosing Reduced active metabolite generation
PK models predict need to at least to double daily dose or change to prasugrel or ticagrelor
Prasugrel 5 mg (or 3.75 in Japan) o.d. 10 mg o.d. No change Likely no change Inconsistent reports of reduced AM of unknown clinical significance
Likely no change
Ticagrelor No changes or reduced dose (60 mg b.i.d.) based on PD and AI data
Caution for bleeding risk of underweight
90 mg b.i.d.
60 mg b.i.d. ≥1 year after ACS
No change Likely no change PD data suggest reduced drug concentration of unknown clinical significance
Insufficient data
Cangrelor Appropriate measure of BW to avoid overdosing 30 μg/kg i.v. bolus, and 4 μg/kg/min infusion Appropriate measure of BW to avoid under- or over dosing
GPIs Appropriate measure of BW to avoid overdosing
Eptifibatide: BW-driven dosing chart in the FDA insert package for BW 37–59 kg
Tirofiban: BW-driven dosing chart in the insert package for BW 30–62 kg
Abciximab: 0.25 mg/kg i.v. bolus, 0.125 μg/kg/min (maximum of 10 μg/min) i.v. infusion
Eptifibatide: 180 μg/kg i.v. bolus, 2 μg/kg/min i.v. infusion (if CrCl ≥50 mL/min)
Tirofiban: 25 μg/kg i.v. bolus and 0.15 μg/kg/min (if CrCl >60 mL/min)
Appropriate measure of BW to avoid underdosing
Eptifibatide: BW-driven dosing chart in the FDA insert package for BW up to 121 kg
Tirofiban: BW-driven dosing chart in the insert package for BW up to 153 kg

Underweight, normoweight, and obesity classes as defined in Table 1. ‘No change’ refers to the treatment in normal BMI/BW subjects as reference population.

ACS, acute coronary syndromes; ACT, activated clotting time; AM, active metabolite; aPTT, activated partial thromboplastin time; ASA, acetylsalicylic acid; b.i.d., bis in die; BW, body weight; BW, body weight; CrCl, creatinine clearance; FDA, Food and Drug Administration; GPI, glycoprotein inhibitors; IU, international units; PCI, percutaneous coronary intervention; PE, pulmonary embolism; STEMI, ST-segment elevation myocardial infarction.

Consistent with reduced response and drug bioavailability in morbid obesity, ASA PD improved after BS,199 with increased area under the curve (AUC) and Cmax31 few months post-RYGB or SG, likely reflecting higher absorption and drug bioavailability following BS and weight loss.200

Multiple studies reported that non-steroidal anti-inflammatory drugs and ASA only at high doses increase the risk of MU.170,191–203 A large meta-analysis (∼25 000 patients) showed that low-dose ASA did not increase MU (HR 0.56, 0.37–0.86) vs. non-ASA-treated individuals, while high-dose did (HR 1.90, 1.41–2.58).191 Pre- and post-operative PPIs can prevent MU,170 and PPIs ensure safe gastroprotection when low-dose ASA is following RYGB.204

Consensus statements
No change in low-dose ASA dosing is advised for obesity class 1.177,180,192 graphic file with name pvae064ufig37.jpg
For low-dose ASA, either doubling the once-daily dose or shortening the dosing interval (b.i.d.) in patients with obesity class ≥2 is advised to improve the PD response.183,197,198 graphic file with name pvae064ufig38.jpg
Post-BS, continuing low-dose ASA, when indicated, is advised together with a PPI for gastroprotection.199,204 graphic file with name pvae064ufig39.jpg

P2Y12 inhibitors

Clopidogrel

Pre-clinical models show reduced clopidogrel biotransformation into active metabolite (AM), higher carboxylesterase-1 (CES) clearance, and reduced platelet inhibition in obese mice,205 explaining data of low AM formation in obese subjects.23

An in silico PK/PD model for clopidogrel confirmed BW as significantly and inversely affecting AM formation, AUC, and platelet inhibition,206 especially for class ≥2 obese individuals.207 Model simulations predicted the need for higher loading and maintenance doses in severely obese vs. over- and normal-weight subjects to reach similar platelet inhibition.206 For BMIs >35 and intermediate- or poor-metabolizer status based on CYP2C19 alleles, the model predicts that the clopidogrel maintenance dose should be increased to 300 and 450 mg, respectively.206 Moreover, class 3 obesity is associated with reduced CYP2C19 activity (Figure 2) independently of its alleles, which returns to almost normal values after weight loss with diet or BS.208

BMI was linearly correlated with high residual P2Y12-dependent platelet aggregation in patients on dual antiplatelet therapy (DAPT) with clopidogrel,190 and a similar phenotype was reported for TAVI patients.209 In a study using the Age, Body Mass Index, Chronic Kidney Disease, Diabetes Mellitus, and Genotyping (ABCD-GENE) score, which includes a BMI >30210 as a factor reducing clopidogrel response, obese patients had the highest residual adenosine diphosphate (ADP)-dependent platelet aggregation.211 In 181 East Asian patients on DAPT containing clopidogrel or prasugrel, no differences were observed in the higher BMI classes (25–29, ≥30) for both treatments.212 However, none of the above studies included severe obesity. A substudy of the Harmonizing Optimal Strategy for Treatment of Coronary Artery Disease EXtended Antiplatelet Monotherapy (HOST-EXAM) RCT analysed the 2-year adverse outcome in patients on ASA 100 mg or clopidogrel 75 mg.213 Patients with BMIs <18.5 had higher bleeding (HR 4.14, 1.70–10.05) than patients with BMIs 18.5–22.9, regardless of the antiplatelet agent, while higher BMI classes did not show increased bleeding risk. However, both extremely low and >30 BMIs were associated with higher all-cause death, non-fatal MI, stroke, readmission due to ACS, and Bleeding Academy Research Consortium (BARC) type ≥3 bleeding.213 The clinical significance of post hoc analyses of a small non-inferiority trial combining safety and efficacy primary endpoints remains unclear. In the Clopidogrel in High-Risk Patients with Acute Nondisabling Cerebrovascular Events (CHANCE) RCT on East Asian patients with minor stroke or TIA, a BMI <25 and normal glycated haemoglobin or absence of CYP2C19 loss-of-function alleles were associated with higher benefit with DAPT–clopidogrel than with ASA monotherapy,214 while DAPT–clopidogrel was not superior to ASA monotherapy in patients with a BMI >25 and no loss-of-function CYP2C19 alleles.214 However, these data are limited to a specific ethnicity and are a post hoc analysis.

For underweight, a substudy of the Testing Responsiveness to Platelet Inhibition on Chronic Antiplatelet Treatment for Acute Coronary Syndromes (TROPICAL-ACS) RCT showed that guided de-escalation from DAPT–prasugrel to DAPT–clopidogrel was associated with better efficacy and safety in patients with a BMI <25 compared with normal and overweight subgroups.215 However, platelet aggregation should be interpreted with caution because its translation in clinical efficacy and safety remains unproven.142 No data on clopidogrel post-BS were found. Data are summarized in Central Table 2.

Prasugrel

An in silico PK/PD model recently developed for prasugrel216 confirmed that only low BW is a relevant covariate for prasugrel response. In the PRASTO-II RCT, low-dose clopidogrel (50 mg o.d.) showed comparable efficacy and safety to very low-dose prasugrel (3.75 mg o.d.) in secondary prevention of cardioembolic stroke in elderly or underweight (<50 kg) patients.217 In Japan, the 3.75 mg formulation has been approved to improve safety and reduce bleeding.217 In the Early Aggressive Versus Initially Conservative Therapy in Elderly Patients With Non-ST-Elevation Acute Coronary Syndrome (ELDERLY-ACS) RCT, cardiovascular mortality and adverse events, including BARC 2–3 bleeding, were similar in elderly (>75 years) patients with low BMI (<25) on DAPT–clopidogrel vs. DAPT–low-dose (5 mg) prasugrel.218 In a subgroup analysis of the ISAAR-REACT-5 RCT, low-dose prasugrel had comparable efficacy but reduced by 30% BARC 3–5 bleeding as compared with ticagrelor (90 mg twice-daily) in elderly (>75 years) or with low-BW (<60 kg) post-ACS patients.219 In a post hoc analysis of this RCT, DAPT–ticagrelor or –prasugrel had efficacy and safety across the spectrum of BMIs consistent with the overall trial population.220

Ticagrelor

Class 1 obesity does not appear to affect ticagrelor PD, while data in class ≥2 obesity are limited.221 A PK/PD model developed in healthy [BMI of 22.7 (19.1–27.8)] or post-ACS [BMI 23.5 (18.3–33.1)] Chinese individuals indicated BW, diet, and sex were the major covariates.222 A PK model developed from Asian population data showed that low BW, advanced age (inversely), and hypertension predicted bleeding on ticagrelor.223

Plasma concentration of ticagrelor, its AM, and platelet function at peak and trough in 221 patients on DAPT (ASA plus ticagrelor 90 or 60 mg b.i.d.) from two RCTs showed that BMI inversely correlated with 90 mg ticagrelor and AM plasma concentration at peak and trough. Residual platelet function at trough in different classes of BMIs (<25, 25–29, and >30 or BW <85 or >85) was directly correlated with BW and BMI.224 A post hoc analysis of the TWILIGHT RCT showed comparable efficacy and safety (BARC 2–5 bleeding) between single antiplatelet therapy–ticagrelor and DAPT (with ASA), in high-risk post-ACS patients, whether normal or obese.225 However, in this analysis patients with class ≥2 obesity or underweight were under-represented since average BMI was ∼28.5. In a post hoc analysis of the Ticagrelor Monotherapy After 3 Months in Patients Treated With New Generation Sirolimus-Eluting Stent for Acute Coronary Syndrome (TICO) trial, BW ≤65 kg, haemoglobin ≤12 g/dL, and glomerular filtration rate (GFR) <60 mL/min/1.73 m2 predicted bleeding in ticagrelor-treated patients.226

In a post hoc analysis of the CHANCE-2 RCT, patients with minor ischaemic stroke or TIA, CYP2C19 loss-of-function alleles and a BMI >28 had a reduced risk of recurrent ischaemic stroke at 90 days when receiving DAPT–ticagrelor vs. DAPT–clopidogrel as compared with a BMI <28.227 A recent systematic review on population PK/PD models identified low BW, Asian ethnicity, and old age as significant covariates for predicting bleeding on ticagrelor 90 mg, suggesting that 60 mg may provide a ‘safer’ drug concentration in these populations.216

Consensus statements
In patients with obesity class ≥2 and in need of clopidogrel treatment, a higher maintenance dose of clopidogrel, likely doubled, may be appropriate to achieve an adequate PD response.206,207,209 graphic file with name pvae064ufig40.jpg
CYP2C19 polymorphisms may particularly affect clopidogrel PD at the loading and maintenance dose in underweight or class 2–3 obese individuals, although the clinical impact is unknown.211,212,214 graphic file with name pvae064ufig41.jpg
No significant difference in efficacy and PK of ticagrelor between normal and obesity class 1 has been reported.221,222 graphic file with name pvae064ufig42.jpg
Clinical and PD data for 90 mg ticagrelor in class ≥2 obese and underweight patients are very limited. graphic file with name pvae064ufig43.jpg
Reduced-dose prasugrel (5 mg or 3.75 mg in Japan) or standard-dose clopidogrel may be appropriate, rather than 90 mg ticagrelor, in underweight patients.214,219,220 graphic file with name pvae064ufig44.jpg
In patients with severe underweight, a lower dose (60 mg) ticagrelor may be appropriate, which seems safer, although the evidence is limited.216 graphic file with name pvae064ufig45.jpg
Ticagrelor or prasugrel is advised over clopidogrel in class ≥2 obese patients, especially when loss-of-function allele(s) are documented.206,207 graphic file with name pvae064ufig46.jpg
It is not advised to test platelet aggregation for adjusting antiplatelet therapy (either single or dual) post-BS.31 graphic file with name pvae064ufig47.jpg

Triple antithrombotic therapy

See Supplemental material and Supplementary material online, Table S5.

Consensus statements
In class ≥3 obese patients undergoing PCI, a longer duration of initial triple antithrombotic therapy (TAT) as well as individualization of the doses and/or intervals of administration of antithrombotic drugs, both in TAT and dual antithrombotic (DAT), may be appropriate.228–231 graphic file with name pvae064ufig48.jpg
Underweight is associated with high bleeding during TAT, regardless of the type of OAC.232 graphic file with name pvae064ufig49.jpg
A strict implementation of bleeding prevention and gastroprotection is advised in underweight patients on TAT, owing to the increased bleeding risk, regardless of the type of OAC.231,232 graphic file with name pvae064ufig50.jpg

Dual pathway inhibition

See Supplemental material.

Consensus statements
The benefit–risk profile of dual pathway inhibition (DPI) in patients with chronic atherothrombotic diseases seems preserved up to obesity class 2, while it is unknown for obesity class ≥3.233 graphic file with name pvae064ufig51.jpg
The risk of bleeding and the atherothrombotic risk reduction in underweight patients are not known. graphic file with name pvae064ufig52.jpg

IV antiplatelet drugs: cangrelor and glycoprotein IIb/IIIa inhibitors

See Supplementary material and Central Table 2.

Consensus statements
The efficacy and safety profile of cangrelor seems not affected by obesity classes 1 to 3, while bleeding may be increased by cangrelor in underweight patients.234 graphic file with name pvae064ufig53.jpg
The efficacy and safety profile of glycoprotein inhibitors (GPIs) in underweight (<18.5 kg/m2) and class ≥3 obese individuals is uncertain.235 graphic file with name pvae064ufig54.jpg

Fibrinolytic drugs

See Supplementary material and Central Table 1.

Consensus statement
Dosing regimens for most fibrinolytics are BW-adjusted and careful adherence to approved labels and nomograms is advised.236–240 graphic file with name pvae064ufig55.jpg

Interactions between antithrombotic and BW-reducing drugs

Incretin mimetic agents have been recently approved as antiobesity drugs; thus, data on drug–drug interactions (DDI) are limited (Supplementary material online, Table S6).

Glucagon-like peptide-1 receptor agonists (GLP-1RA), by hindering gastric emptying and motility, may affect absorption or gut metabolism of antithrombotic agents. No interactions were found between semaglutide, at steady state, and warfarin, digoxin, metformin, or lisinopril.241 Similarly, no interactions were detected between parenteral dulaglutide and warfarin.242 However, semaglutide delays gastric emptying and therefore can create interactions if drugs, including VKA, are concomitantly administered. Tirzepatide, a combined GLP-1RA and glucose-dependent insulinotropic polypeptide receptor agonist, by delaying gastric emptying may affect the bioavailability of concomitant oral drugs.243 By in vitroin vivo modelling, slow gastric emptying does not influence rivaroxaban bioavailability.244 Delayed gastric emptying has variable effects on the absorption of ticagrelor based on studies in patients treated with opioids,245,246 but no information is available for BW-reducing drugs.

Orlistat is an inhibitor of the intestinal CES-1 and -2247 that metabolize several drugs, including clopidogrel, ASA, and prasugrel. CES-1 variants account for the reduced formation of clopidogrel AM and for decreased dabigatran plasma concentrations.248 Reduced CES-2 activity lowers ASA hydrolysis.248,249 Orlistat has been reported to enhance VKA effects; thus, closer INR monitoring INR might be necessary.122

Consensus statement
More frequent INR monitoring is advised for patients on VKA when starting or modifying GLP1-RAs, and to avoid simultaneous oral administration.243 graphic file with name pvae064ufig56.jpg

Antithrombotic drugs under development

In the past 5 years, novel antithrombotic agents with old or new targets are under clinical development,250–253 and reported in Supplemental material, with scant data on BMI or BW extremes.

Gaps in knowledge

  • Whether gender may affect safety and efficacy of antithrombotic drugs in morbid obesity and underweight patients needs more studies.

  • Whether reference intervals of VKA and heparins should be similar for all body sizes remains unexplored.

  • More data on DOACs vs. VKA are needed for class ≥2 obesity and underweight individuals.

  • More studies should investigate DOACs and their DDIs in the context of obesity, its comorbidities, and frequently used co-medications.

  • Whether LMWH prophylaxis at BW-adjusted or higher fixed-dose is more effective and equally safe vs. standard fixed dosing in class ≥2 obesity remains undetermined.

  • RCTs on LMWH dosing strategies for VTE treatment in class ≥2 obesity are needed.

  • Studies are needed on protamine sulfate dosing for UFH reversal and on PCC dosing for OAC reversal in class ≥2 obese patients.

  • Randomized PD and/or clinical outcome studies in class ≥2 obese individuals comparing higher or more-frequent vs. standard ASA regimens are needed in patients with CVD, undergoing BS and in obese pregnant women requiring ASA.

  • Clopidogrel in low BW and morbid obesity has not been adequately studied in RCTs.

  • Whether the efficacy and safety of fibrinolysis are affected by BW extremes in STEMI, PE, and ischaemic stroke is unknown.

  • Severe obesity remains largely under-represented in RCTs comparing TAT vs. DAT.

  • The DDIs of novel GLP-1RA with oral antithrombotic drugs require caution and further investigation.

  • How BS and new antiobesity drugs can influence the PK/PD of some antithrombotic agents needs further data.

  • There is a clinical need to improve risk stratification and to extend thromboprophylaxis after BS in high-risk patients, but there are no RCTs of RAM to aid decisions. Cardiovascular RAM post-BS has not been sufficiently developed and validated.

  • There is lack of data on the early and long-term antithrombotic prophylaxis post-BS and on how and when to resume the antithrombotic treatment after surgery.

Conclusions

Managing patients with an indication for antithrombotic treatment(s) (therapeutic or prophylactic) at the extremes of body size represents a therapeutic challenge (Graphical Abstract and Central Tables 1 and 2). Most of the evidence relies on subgroup/post hoc analyses of RCTs or on studies using biomarkers as endpoints (drug concentrations, INR, and other coagulation measurements). Population-based PK/PD studies as well as in silico AI models and simulations are shedding light on the complexity of drug's metabolism at the extreme of body mass and may guide and tailor the design of future RCTs. Validated PK/PD modelling and simulations could also help prescribing clinicians. For the time being, severe obesity and severe underweight remain specific domains of personalized medicine, AI, and precision clinical pharmacology (Graphical Abstract).

Supplementary Material

pvae064_Supplemental_File

Acknowledgements

Since Stefan Agewall, the EiC of the journal, is one of the co-authors of the present document, the paper has been handled independently by another Guest Editor, Prof. Gregory Y. H. Lip.

Contributor Information

Bruna Gigante, Division of Cardiovascular Medicine, Department of Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; Department of Cardiology, Danderyds Hospital, 18288 Stockholm, Sweden.

Juan Tamargo, Department of Pharmacology and Toxicology, School of Medicine, Universidad Complutense, de Madrid, Instituto de Investigación Sanitaria Gregorio Marañón, CIBERCV, 28040 Madrid, Spain.

Stefan Agewall, Division of Clinical Science, Danderyds Hospital, Karolinska Institutet,  18288 Stockholm, Sweden; Institute of Clinical Sciences, University of Oslo, NO-0318 Oslo, Norway.

Dan Atar, Institute of Clinical Sciences, University of Oslo, NO-0318 Oslo, Norway; Department of Cardiology, Oslo University Hospital Ulleval, N-0450 Oslo, Norway.

Jurrien ten Berg, St Antonius Hospital, Koekoekslaan 1, 3435 CM Nieuwegein, the Netherlands; Maastricht University Medical Center, P Debyelaan 25, 6229 HX Maastricht,  the Netherlands.

Gianluca Campo, Azienda Ospedaliero Universitaria di Ferrara, Via Aldo Moro 8, Cona, FE 44124, Italy.

Elisabetta Cerbai, Department of Neurofarba, University of Florence, Viale G. Pieraccini 6, 50139  Florence, Italy; Laboratory for Non-Linear Spectroscopy, Via N. Carrara 1, Sesto Fiorentino, 50019 Florence, Italy.

Christina Christersson, Cardiology, Department of Medical Sciences, Uppsala University, 753 09 Uppsala, Sweden.

Dobromir Dobrev, Institute of Pharmacology, University Duisburg-Essen, 45141 Essen, Germany; Montréal Heart Institute, Université de Montréal, H3C 3J7 Montréal, Québec, Canada; Department of Integrative Physiology, Baylor College of Medicine, Houston, 77030 TX, USA.

Péter Ferdinandy, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest 1089, Hungary; Pharmahungary Group, Szeged 6722, Hungary.

Tobias Geisler, Department of Cardiology and Angiology, University Hospital, 72076 Tübingen, Germany.

Diana A Gorog, Faculty of Medicine, National Heart and Lung Institute, Imperial College, Dovehouse Street, London SW3 6LY, UK; Centre for Health Services and Clinical Research, School of Life and Medical Sciences, Postgraduate Medical School, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK.

Erik L Grove, Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus, Denmark; Department of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 11, 8200  Aarhus, Denmark.

Juan Carlos Kaski, Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, London SW17 0RE, UK; St George's University Hospitals NHS Trust, London SW17 0RE, UK.

Andrea Rubboli, Department of Emergency, Internal Medicine, and Cardiology, Division of Cardiology, S. Maria delle Croci Hospital, Viale Randi 5, 48121 Ravenna, Italy.

Sven Wassmann, Cardiology Pasing, Munich, and Faculty of Medicine, University of the Saarland, 66421 Homburg/Saar, Germany.

Håkan Wallen, Department of Cardiology, Danderyds Hospital, 18288 Stockholm, Sweden; Department of Clinical Sciences, Danderyds Hospital, Karolinska Institutet, 18288 Stockholm, Sweden.

Bianca Rocca, Department of Neurofarba, University of Florence, Viale G. Pieraccini 6, 50139  Florence, Italy; Department of Medicine and Surgery, LUM University, S.S. 100 Km. 18, 70010 Casamassima, Bari, Italy; Department of Healthcare Surveillance and Bioethics, Catholic University School of Medicine, Largo F. Vito 1, 00168 Rome, Italy.

Conflicts of interest: J.t.B.: institutional research grant ZonMw (Dutch government) and Daiichi Sankyo and advisory board CeleCor; B.R.: consultancy fee for Aboca SRL for medical devices; C.C.: lectures and advisory board to the institution from AstraZeneca, Bristol Myers Squibb, and Pfizer; D.D.: received speaker's/consultancy honoraria from Daiichi Sankyo and AbbVie; D.G.: institutional research grants from Bayer, AstraZeneca, Medtronic, and Werfen and personal fees/lecture fees from Janssen/BMS and AstraZeneca (all unrelated to this work); G.C.: research grants from SMT, GADA, Abbott Vascular; P.F.: founder and CEO of Pharmahungary Group, a group of R&D companies (www.pharmahungary.com); T.G.: personal fees from AstraZeneca, Boehringer Ingelheim, Pfizer, Boston Scientific, and Abbott and grants and personal fees from Bayer Healthcare, Bristol Myers Squibb, Daiichi Sankyo, Eli Lilly, and Medtronic outside of the submitted work; E.L.G.: speaker honoraria or consultancy fees from AstraZeneca, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Pfizer, Novo Nordisk, Lundbeck Pharma, and Organon and investigator in clinical studies sponsored by AstraZeneca, Idorsia, or Bayer and has received unrestricted research grants from Boehringer Ingelheim; H.W.: organizing educational meetings for Bayer AG, all fees to Department of Clinical Science, Karolinska Inst; A.R.: consulting from AstraZeneca, Werfen, Bayer, Boheringer Ingelheim, Daiichi Sankyo, Pfizer, and BMS; and B.G., S.A., D.A., E.C., J.C.K., J.T., and S.W. declare no conflict of interest.

Data availability

No new data were generated or analysed in support of this research.

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Associated Data

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Supplementary Materials

pvae064_Supplemental_File

Data Availability Statement

No new data were generated or analysed in support of this research.


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