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. 2021 Nov 24;32(2):391–397. doi: 10.1007/s11695-021-05799-8

Aggressive Anticoagulation May Decrease Mortality in Obese Critically Ill COVID-19 Patients

Panagiotis Drakos 1, Panagiotis Volteas 1, Zaina Naeem 1, Anthony A Asencio 2, Nathaniel A Cleri 2, Leor N Alkadaa 2, Anthony Oganov 2, Theresa Gammel 2, Jordan R Saadon 2, Mohsen Bannazadeh 1,3, Apostolos K Tassiopoulos 1,3, Charles B Mikell 2, Jerry Rubano 1, Aurora Pryor 1,4, Konstantinos Spaniolas 1,4,5,, Sima Mofakham 2,5,
PMCID: PMC8610786  PMID: 34816357

Abstract

Background

Obesity is a widely accepted risk factor for the development of severe COVID-19. We sought to determine the survival benefit of early initiation of aggressive anticoagulation in obese critically ill COVID-19 patients.

Methods

We retrospectively reviewed 237 intubated patients at a single academic accredited bariatric center and stratified them based on their BMI into 2 groups, obese (BMI > 30) and non-obese (BMI ≤ 30). We used chi-square tests to compare categorical variables such as age and sex, and two-sample t-tests or Mann Whitney U-tests for continuous variables, including important laboratory values. Cox proportional-hazards regression models were utilized to determine whether obesity was an independent predictor of survival and multivariable analysis was performed to compare risk factors that were deemed significant in the univariable analysis. Survival with respect to BMI and its association with level of anticoagulation in the obese cohort was evaluated using Kaplan–Meier models.

Results

The overall mortality in the obese and non-obese groups was similar at 47% and 44%, respectively (p = 0.65). Further analysis based on the level of AC showed that obese patients placed on early aggressive AC protocol had improved survival compared to obese patients who did not receive protocol based aggressive AC (ON-aggressive AC protocol 26% versus OFF-aggressive AC protocol 61%, p = 0.0004).

Conclusions

The implementation of early aggressive anticoagulation may balance the negative effects of obesity on the overall mortality in critically ill COVID-19 patients.

Graphical abstract

graphic file with name 11695_2021_5799_Figa_HTML.jpg

Keywords: COVID-19, Coronavirus, Critically ill, Mechanical ventilation, Body mass index (BMI), Obesity, Anticoagulation, Heparin, Enoxaparin

Introduction

The COVID-19 pandemic, caused by the novel SARS-CoV2, has led to a global health crisis with 206 million cases and more than 4.3 million deaths globally [1]. It has been shown that SARS-CoV-2 affects multiple systems causing widespread physiologic insult, including acute respiratory distress syndrome in the context of multiorgan failure, necessitating mechanical ventilation and intensive care unit admission in a significant number of patients [2].

Obesity, defined as a body mass index greater than 30, is a widely accepted risk factor for the development of severe COVID-19 infection [35]. Excess adipose tissue alters underlying hormonal, metabolic and inflammatory processes to adversely influence COVID-19 outcomes in obese patients, especially in those under 60 years of age [4]. Significantly, chronic overexpression of both proinflammatory and prothrombotic factors in the setting of obesity exacerbates the inflammatory state induced by SARS-CoV2, thereby predisposing those with concomitant obesity and COVID-19 infection to higher morbidity and mortality risk [6].

In the present study, we hypothesized that patients with obesity would exhibit a more exuberant inflammatory response to COVID-19 infection compared to their non-obese counterparts. We thus sought to investigate whether the implementation of an aggressive anticoagulation (AC) protocol would be able to confer a survival benefit in critically ill COVID-19 patients with obesity.

Methods

Patient Population and Inclusion Criteria

This was a retrospective cohort study of all intubated COVID-19 patients, confirmed with a positive RT-PCR test for SARS-CoV2, at a large suburban, academic, accredited bariatric center between February 7, 2020 and May 17, 2020. Our inclusion criteria required patients to be 18 years of age or older and intubated for at least 24 h. We stratified patients based on their BMI into two groups, obese (BMI > 30) and non-obese (BMI ≤ 30). Demographic and clinical characteristics were captured, including gender, age, Sequential Organ Failure (SOFA) score at time of intubation, creatinine, maximum D-dimer level, mortality, steroid administration, and AC.

Clinical care across groups was largely similar, with the exception of AC treatment received. In our institution, we implemented an aggressive AC protocol, which included dose escalation based on daily measured D-dimer levels, as D-dimer is widely used as a biomarker for the hypercoagulable state. Patients with D-dimer < 1000 ng/mL received enoxaparin 40 mg daily, those with D-dimer ≥ 1000 ng/mL but < 3000 ng/mL received enoxaparin 40 mg twice a day and those with D-dimer ≥ 3000 ng/ml received therapeutic AC with enoxaparin 1 mg/kg twice a day or intravenous heparin drip at a starting rate of 18 units/kg/h to achieve a goal PTT of 60 to 90 [7]. Choice of anticoagulation agent was determined by the attending physician of record with enoxaparin generally avoided in patients with severe renal impairment. Per the above, we performed a subgroup analysis and stratified the patients with BMI > 30 into ON-aggressive AC (escalation of AC from once daily to twice daily or to therapeutic AC based on the above D dimer cut-off levels) and OFF-aggressive AC (no escalation of AC according to the D-dimer level driven protocol) and compared for the same demographic and clinical characteristics as in the overall cohort.

Sequential Organ Failure Assessment (SOFA) scores were calculated for all patients at time of intubation, which coincided with ICU admission. The SOFA score is often used in the clinical setting to quantify the degree of organ dysfunction or failure present on ICU admission and aids in predicting ICU mortality risk [8].

The local Institutional Research Board approved the study protocol and supervised all study procedures, in accordance with state and federal regulations, with a waiver of informed consent.

Statistical Analyses

Statistical analyses were performed using MATLAB and SPSS 21.0 software (SPSS Inc, Chicago, IL). Statistical significance was set at alpha < 0.05. All reported p-values were calculated in a two-sided setting. Data were reported as group means, along with the two-tailed Student’s T-statistic for several variables of interest. We utilized chi-square tests to compare for any significant difference between two groups for categorical variables (e.g., gender), two-sample t-tests for parametric (e.g., age, SOFA) and Mann Whitney U-tests for non-parametric continuous variables (e.g., D-dimer, creatinine). Cox proportional-hazards regression models were utilized to determine whether obesity was an independent predictor of survival. Based on the univariable analysis, we determined significant factors to be involved in the multivariable Cox regression model. These factors included age, gender, SOFA score and participation in the D-dimer driven escalation of AC protocol. Entry-level for multivariable analysis was p-value < 0.1. This model provided hazard ratios to estimate which parameters are independent predictors of survival. We assessed the survival of the subgroups using Kaplan–Meier models and a log-rank test. Each patient was followed for a minimum of five months with no missing data points in terms to survival.

Results

A total of 237 critically ill intubated patients with confirmed COVID-19 infection met inclusion criteria. Five patients were excluded as BMI data were missing. Figure 1 shows the distribution of BMI for this cohort with mean of 30.4 kg/m2 and SD of 6.33.

Fig. 1.

Fig. 1

Distribution of BMI for 237 critically ill, intubated COVID-19 patients

The patient cohort was stratified into obese (BMI > 30, n = 106) and non-obese (BMI ≤ 30, n = 131) groups. The two groups were similar in age (mean: non-obese = 61.6, obese = 57.9, p = 0.087), gender (70.9% male in non-obese group versus 68.8% male in obese group, p = 0.72), SOFA score (mean: non-obese = 6.28, obese = 6.52, p = 0.13), steroid use during hospital course (mean: non-obese = 81.8% obese = 83.4%, p = 0.74), and implementation of early aggressive AC protocol (mean: non-obese = 44.8%, obese = 46%, p = 0.86). Admission creatinine level for patients with obesity was significantly higher compared to their non-obese counterparts (mean: non-obese = 1.28, obese = 1.38, p = 0.027) (Table 1).

Table 1.

Patient demographics

BMI ≤ 30 (n = 131) BMI > 30 (n = 106) p-value
Gender (male) 70.9% 68.8% 0.72
Age (average, SD) 61.6 + 15.31 57.9 + 13.23 0.087
BMI (average, SD) 26 + 2.7 35.8 + 5.1 0.0001
SOFA score (average) 6.28 + 2.25 6.52 + 2.55 0.13
Creatinine (admission) 1.28 + 0.11 1.38 + 0.14 0.027
Mortality 44.2% 47.1% 0.51
Maximum D-dimer 9504 + 994 7920 + 1064 0.12
Implementation of early aggressive anticoagulation based on D-dimer protocol (ON protocol versus OFF protocol) 44.8% 46% 0.86
Steroids 81.8% 83.4% 0.74

Cox regression for survival multivariate analyses was performed to identify risk factors contributing to mortality in the study population. Factors significantly associated with mortality were age (HR = 2.482, p < 0.0001), SOFA score (HR = 1.856, p = 0.005), gender (HR = 1.824, p = 0.015), and implementation of early aggressive AC (ON-AC protocol) (HR = 0.444, p < 0.0001) (Table 2). Hypertension, diabetes mellitus, congestive heart failure, chronic kidney disease, chronic obstructive pulmonary disease and BMI were not found to be significant in the univariate analysis and thus were not included in the multivariable survival model.

Table 2.

Multivariable analysis

Variable Comparison level Hazard ratio p-value
Gender Male vs female 1.824 0.015
Age More than 70 vs less than 70 years old 2.482  < 0.0001
SOFA More than 7 vs less than 7 1.856 0.005
Anticoagulation Aggressive (ON-AC protocol) vs routine AC (OFF-AC protocol) 0.444  < 0.0001

Kaplan–Meier survival analysis demonstrated no difference in cumulative survival between patients with BMI ≤ 30 and those with BMI > 30 (mortality 44% versus 47%, p = 0.51) (Fig. 2 left). We further examined the effect of obesity on mortality by stratifying groups at a higher BMI threshold of 35 (severely obese group n = 50, non-severely obese group = 187), with 50% mortality in the severely obese group compared to a lower rate of 44.3% mortality in the non-severely obese group (p = 0.4) (Fig. 2 center). The cumulative survival was not statistically different using BMI of 35 as a cut-off point. We obtained similar results when using BMI cut-off of 40 (morbidly obese group n = 16, non-morbidly obese group n = 221, respectively, p = 0.32) (Fig. 2 right).

Fig. 2.

Fig. 2

Comparison of cumulative survival among patients with cut-off BMI 30, 35, and 40

As there was no difference in cumulative survival between patients on the basis of BMI, we examined whether the implementation of aggressive AC would offer a beneficial effect in our patient cohort. For patients with BMI ≤30, aggressive anticoagulation conferred a survival benefit (OFF-AC mortality 55% vs. ON-AC mortality 28.5%, p = 0.002). We then explored whether the same applied to those with obesity, as this cohort analysis has not been previously performed in the literature. After the division of the BMI > 30 group into ON- and OFF-aggressive AC protocol patients, we demonstrated a survival benefit in those who received early aggressive AC (mortality ON-aggressive AC = 26% versus OFF-aggressive AC = 61%, p = 0.0004) (Table 3 and Fig. 3). Maximum D-dimer level was significantly higher in the OFF-aggressive AC patients compared to those ON-aggressive AC patients (6304 versus 9772 respectively, p = 0.024). The small baseline difference in the creatinine that was found in the overall cohort was not appreciated in this subgroup analysis (p = 0.4, Table 3). No significant difference was noted between ON-AC protocol versus OFF-AC patients with BMI > 30 with respect to comorbidities, including CHF (p = 0.39), CKD (p = 0.46), or COPD (p = 0.8) (Table 3).

Table 3.

Characteristics of patients with BMI > 30 (ON-AC versus OFF-AC protocol)

ON-AC protocol (n = 46) OFF-AC protocol (n = 54) p-value
Gender (male) 68.5% 69.5% 0.91
Age (average, SD) 55.7 + 11 59.03 + 15.03 0.12
BMI (average, SD) 35.4 + 5.2 36.3 + 5.3 0.72
SOFA score (average, SD) 6.08 + 2.4 6.72 + 2.5 0.83
Creatinine (admission) 1.16 + 0.09 1.43 + 0.23 0.40
Mortality 26% 61.1% 0.0004
Maximum D-dimer (mean, SE) 6304 + 1409 9772 + 1647 0.024
Steroids 84% 86% 0.76
Hypertension 63% 55.5% 0.44
Congestive heart failure (CHF) 2% 5.5% 0.39
Diabetes, type I or II 32.6% 20.3% 0.16
Chronic obstructive pulmonary disease (COPD) 8.6% 7.4% 0.8
Chronic kidney disease (CKD) 4.3% 1.8% 0.46

Fig. 3.

Fig. 3

Comparison of cumulative survival among obese patients (BMI > 30) on aggressive anticoagulation (ON-AC protocol) versus those receiving routine anticoagulation (OFF-AC protocol) (p < 0.001)

Discussion

Our study notably found that obesity (defined as a BMI greater than 30) is not associated with higher rates of mortality amongst critically ill intubated patients with COVID-19 when compared to those with BMI less than 30. Similar rates of cumulative survival were also observed among study patients when stratified at BMI cutoffs of 35 and 40. These findings are in contrast with the results of two large meta-analyses which demonstrated significantly higher odds of severe COVID-19 outcomes amongst those with higher BMIs, including hospitalization, invasive mechanical ventilation, and mortality [9, 10]. Obesity is a well-described risk factor for COVID-19 infection [912]. It is widely accepted that obesity increases susceptibility to respiratory infections through various mechanisms, including compromised ventilation in the setting of decreased diaphragmatic excursion, decreased respiratory system compliance, and hyper-circulation of inflammatory cytokines [11, 13].

In our subgroup analysis of obese patients with BMI above 30, we found that those who received early aggressive anticoagulation with therapeutic enoxaparin or heparin drip had approximately half the mortality rate of those receiving the basic thromboprophylaxis regimen (26% vs 61% mortality respectively, p = 0.0004), which likely accounted for the discrepancy in mortality benefit observed in this study verses the literature. Anticoagulation benefit has been reported in the general COVID-19 population. Of note, a large retrospective study of 4389 patients in the Journal of the American College of Cardiology describe lower in-hospital mortality rates with therapeutic and prophylactic AC (including dual anticoagulant therapy, unfractionated heparin, low molecular weight heparin) compared to no AC (adjusted hazard ratio: 0.53; 95% CI: 0.45 to 0.62 and aHR: 0.50; 95% CI: 0.45 to 0.57, respectively) [14]. Similarly, in a recent study of 2773 hospitalized patients with COVID-19 in a large New York hospital system, a significantly higher mortality benefit was reported for mechanically ventilated patients who were treated with systemic AC (29.1% on AC and 62.7% mortality not on AC) [15].

Surprisingly, there is limited literature examining the risk of thrombosis and the role of AC amongst those with concomitant obesity and COVID-19 infection despite established risk of coagulopathy in each subpopulation alone. Obesity leads itself to a chronic inflammatory state with impaired fibrinolysis, in which hypertrophic adipocytes produce excess proinflammatory cytokines (IL-1β, IL-6, IL-8, TNFα, and MCP-1) causing upregulation of adhesion molecules and procoagulant factors (notably tissue factor), downregulation of anticoagulant regulatory proteins, increased thrombin generation, and enhanced platelet activation [1618]. These mechanisms are supplemented by the action of increased circulating levels of free fatty acids through the NF-κB pathway [18].

It has been proposed that after infecting host cells, SARS-COV-2 also predisposes to a hyperinflammatory reaction through release of a “cytokine storm” amongst other mechanisms, including increased oxidative stress and endothelial dysfunction [18]. COVID-19 coagulopathy is characterized by marked elevations in D-dimer and fibrin fibrin/fibrinogen degradation product levels, placing infected patients at increased risk of arterial and venous thrombosis [19, 20]. Indeed, we found that the maximum D-dimer level was elevated above baseline in our patient population, and significantly more so in the subset not treated with aggressive AC (6304 versus 9772, p = 0.024). In an intention-to-treat clinical trial of 3625 COVID-19 patients, higher D-dimer levels were significantly associated with increased mortality; those with D-dimer levels < 1 µg/mL did not appear to benefit from AC while patients with D-dimer levels > 10 µg/mL derived the most benefit [20].

Interestingly, we observed no significant difference in macrovascular thrombotic complications, both venous (DVT, PE) and arterial (myocardial infarction, stroke, peripheral thrombosis), or bleeding complications (upper and lower GI bleed, hemothorax, mediastinal and tracheostomy site bleeding) between ON- versus OFF-AC protocol patients, regardless of BMI. We postulate that given the frequency of pulmonary embolism symptoms in patients with severe COVID-19 infection and the underutilization of imaging in the COVID setting to prevent unnecessary staff exposure, DVT and PE rates may have been underreported in this population.

To our knowledge, this study is the first to examine the role of an aggressive AC protocol in critically ill COVID-19 patients with BMI-defined obesity. We notably describe a significant survival benefit amongst obese patients attributed to the administration of early aggressive AC regimen, which may compensate for the lack of mortality difference between patients with and without obesity in this study.

Limitations

This study was a single-center retrospective cohort study and carries with it inherent limitations of this study design, including generalizability. The patient cohort was limited to ventilated patients in the ICU setting and results may not be applicable to COVID patients admitted to lower acuity units. This study did not control for those who had previously been on AC therapy for a pre-existing indication and may therefore have been likely to have better outcomes. A control group consisting of non-anticoagulated patients was not utilized, as all patients were anticoagulated, albeit with different degrees of escalation. Finally, the AC protocol utilized either heparin drip or enoxaparin, which achieve therapeutic effects through different mechanisms of actions and may carry different utility in the critically ill COVID-19 population, which can be explored in future subgroup analysis.

Conclusions

This study uniquely proposes that an early aggressive anticoagulation protocol may counteract the negative effects of obesity on the overall mortality in critically ill COVID-19 patients.

Anticoagulation is a modifiable risk factor and represents opportunity for physician intervention, as appropriate.

Funding

This work was supported by the SUNY Seed Grant 1160738–1-87777. No industry or other external funding was used for this research.

Declarations

Ethics Approval

For this retrospective study, formal consent was not required.

Informed Consent

Does not apply to this retrospective study.

Conflict of Interest

Dr. Tassiopoulos reports personal fees from Medtronic and Terumo, outside the submitted work. Dr. Pryor reports personal fees from Ethicon, Medtronic, Stryker, Gore, Merck and grants from Obalon, outside the submitted work. Dr. Spaniolas reports grants from Merck and personal fees from Gore, outside the submitted work. The remaining authors report no conflicts of interest.

Footnotes

Key Points

• The COVID-19 pandemic has led to a global health crisis with > 4 million deaths.

• Obesity is a risk factor for severe COVID-19 infection and its sequelae.

• In COVID + patients with obesity, early anticoagulation conferred a survival benefit.

Drs. Panagiotis Drakos M.D. and Panagiotis Volteas M.D. contributed equally to this work as first authors. Sima Mofakham Ph.D. and Konstantinos Spaniolas M.D. contributed equally to this work as senior investigators.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Konstantinos Spaniolas, Email: konstantinos.spaniolas@stonybrookmedicine.edu.

Sima Mofakham, Email: sima.mofakham@stonybrookmedicine.edu.

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