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. 2022 Nov 6;67(1):76–85. doi: 10.1111/aas.14157

Thromboembolic and bleeding events in ICU patients with COVID‐19: A nationwide, observational study

Lene Russell 1,, Sarah Weihe 2, Emilie Kabel Madsen 3, Christine Lodberg Hvas 3, Jens Wolfgang Leistner 1, Jens Michelsen 4, Anne Craveiro Brøchner 5, Anders Bastiansen 6, Frederik Mølgaard Nielsen 7, Nick Meier 1, Anne Sofie Andreasen 8, Niels‐Erik Ribergaard 9, Bodil Steen Rasmussen 7, Christoffer Grant Sølling 10, David Levarett Buck 11, Helle Bundgaard 12, Helle Scharling Pedersen 13, Iben Strøm Darfelt 14, Lone Musaeus Poulsen 2, Michael Ibsen 15, Ronni R Plovsing 16, Sigurdur T Sigurdsson 17, Susanne Iversen 18, Thomas Hildebrandt 19, Thomas Mohr 20, Ulrick Skipper Espelund 21, Vibeke Jørgensen 22, Nicolai Haase 1, Anders Perner 1
PMCID: PMC9874434  PMID: 36263897

Abstract

Background

Intensive care unit (ICU) patients with Coronavirus disease 2019 (COVID‐19) have an increased risk of thromboembolic complications. We describe the occurrence of thromboembolic and bleeding events in all ICU patients with COVID‐19 in Denmark during the first and second waves of the pandemic.

Methods

This was a sub‐study of the Danish Intensive Care Covid database, in which all patients with SARS‐CoV‐2 admitted to Danish ICUs from 10th March 2020 to 30th June 2021 were included. We registered coagulation variables at admission, and all thromboembolic and bleeding events, and the use of heparins during ICU stay. Variables associated with thrombosis and bleeding and any association with 90‐day mortality were estimated using Cox regression analyses.

Results

We included 1369 patients in this sub‐study; 158 (12%, 95% confidence interval 10–13) had a thromboembolic event in ICU and 309 (23%, 20–25) had a bleeding event, among whom 81 patients (6%, 4.8–7.3) had major bleeding. We found that mechanical ventilation and increased D‐dimer were associated with thrombosis and mechanical ventilation, low platelet count and presence of haematological malignancy were associated with bleeding. Most patients (76%) received increased doses of thromboprophylaxis during their ICU stay. Thromboembolic events were not associated with mortality in adjusted analysis (hazard ratio 1.35 [0.91–2.01, p = .14], whereas bleeding events were 1.55 [1.18–2.05, p = .002]).

Conclusions

Both thromboembolic and bleeding events frequently occurred in ICU patients with COVID‐19. Based on these data, it is not apparent that increased doses of thromboprophylaxis were beneficial.

Keywords: bleeding, COVID‐19, thromboprophylaxis, thrombosis


Editorial Comment.

In this nationwide study of thromboembolic and bleeding events in Danish ICU patients with COVID‐19 that were mostly treated with intermediate dose thromboprophylaxis, the incidence of thrombosis was 12% and the incidence of bleeding was 23%. The occurrence of bleeding was associated with higher mortality. This suggests that caution and vigilance are needed when prescribing higher dose of thromboprophylaxis based on presumed hypercoagulable state. Furthermore, this highlights the need for careful follow‐up for adverse effects after implementing national patient management guidelines.

1. INTRODUCTION

The risk of thromboembolic complications in patients with Coronavirus disease 2019 (COVID‐19) has been widely discussed since the first early reports, which indicated that coagulopathy was common in COVID‐19 patients 1 and that prolonged prothrombin time and increased D‐dimer levels were associated with the need for intensive care unit (ICU) treatment and increased mortality. 1 , 2 Reports followed suggesting that a high proportion of ICU patients with COVID‐19 developed thromboembolic complications, although rates varied greatly among reports, 3 , 4 , 5 , 6 and autopsy studies of COVID‐19 patients confirmed the presence of thrombosis and microangiopathy in the small vessels and capillaries of the lungs. 7 , 8

As a result of the high rates of thrombotic events reported in the early studies, several investigators suggested higher dosing of prophylactic anticoagulation for patients with critical COVID‐19, 9 which was swiftly followed by guidance statements by some institutions, 10 including The Danish Society of Thrombosis and Haemostasis (DSTH). DSTH was one of the first national societies to recommend the routine use of intermediate doses of low molecular weight heparin (LMWH) (enoxaparin 40 mg/tinzaparin 4500 units/dalteparin 5000 units twice daily) in patients with critical COVID‐19. Other institutions chose more moderate thromboprophylaxis strategies, and a review of published guidelines for the management of coagulopathy and thrombosis in patients with critical COVID‐19, published in September 2020, found marked differences in the major societies' recommendations and strategies for thrombosis prevention. 11

After the online publication of the Danish national guidelines during the first pandemic wave (Supplement 1), most COVID‐19 ICU patients in Denmark were likely to receive intermediate dosing of LMWH. We are here able to describe the presence of clinically important bleedings and thromboembolic events in an entire, unselected cohort of all ICU patients with COVID‐19 in Denmark during the first and second waves of the pandemic.

2. METHODS

This was a sub‐study of the Danish Intensive Care Covid database, in which all patients at the 29 ICUs in the 27 Danish hospitals which treated patients with COVID‐19 were prospectively screened. All ICU patients with laboratory‐confirmed Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection were entered into the database. 12 All patients admitted within the timeframe 10th March 2020 to 30th June 2021 were included in this sub‐study. The Danish Patient Safety Authority granted access to the patient files and waived consent from the individual patients due to the study's retrospective design (ref. no. 31‐1521‐293 and R‐21004283).

Medical staff manually searched the electronic patient files and obtained the following information: haematological variables (haemoglobin value and platelet count), coagulation variables (International Normalised Ratio and D‐dimer) and level of C‐reactive protein at baseline, daily use of antiplatelet or anticoagulant agents before ICU admission (definition: warfarin, direct oral anticoagulants, fondaparinux, clopidogrel, ticagrelor or similar) and daily dose of thrombosis prophylaxis during the first 7 ICU‐days.

We registered all bleeding events and thrombotic events during the entire ICU admission. Only thromboembolic events that were confirmed radiographically or ultrasonographically were registered. Bleeding events were categorised as (1) any bleeding event or (2) major bleeding events, defined as bleeding requiring transfusion of at least two units of red blood cells (RBCs) and/or intracranial bleeding and/or bleeding resulting in the need for a major therapeutic intervention.

We also registered transfusion data (Blood group [A, AB, B, 0]), number of transfusions of RBCs, fresh frozen plasma (FFP) and platelet concentrate during the entire ICU admission. The size of blood product units in Denmark is approximately: one unit of RBC = 245 ml, one unit of FFP = 275 ml and one unit of platelet concentrate = 180 ml or 360 ml, depending on geographical region.

In addition, we obtained the following baseline values as per the national database: age, sex, body mass index (BMI), comorbidities, including the presence of haematological malignancy or solid tumour cancer, use of mechanical ventilation or renal replacement therapy during ICU admission and outcome data at Day 90.

3. STATISTICAL ANALYSIS

Study data were managed using REDCap electronic data capture tools hosted at the Capital Region of Denmark. 13 The rates of thrombosis and bleeding were computed with Wilson score confidence limits. Qualitative data were analyzed using Mann–Whitney test for nonparametric data. For categorical data, the Chi‐square test was used unless the expected data was less than 5%, in which case Fisher's exact test was used. We analyzed the association between baseline variables with thrombosis and bleeding using competing Cox regression models. The associations between time to bleeding and time to thrombosis were analyzed with a maximum follow‐up time of 90 days. A positive hazard ratio indicates that an event was more likely, and a negative hazard ratio indicates that an event was less likely. Death without prior bleeding/thrombosis was treated as a competing event. Covariates were included in the multivariable model if the p‐value was <.10 in the univariate analysis. Interaction analysis was performed before computing the final multivariable model. In case of missing data for a specific variable, these patients were not included in the analysis including this same variable. No imputation was performed. Survival analysis of thrombosis and bleeding within the first 7 days in the ICU was conducted using the Kaplan–Meier method, and the log‐rank test was used to compare the survival curves. Survival analyses were adjusted for age and the presence of any malignancy (haematological or solid tumour cancer). SAS Enterprise Edition 3.8, SAS Institute Inc., was used for all analyses.

4. RESULTS

A total of 1377 patients with laboratory‐confirmed SARS‐CoV‐2 infection were admitted to Danish ICUs during the study period and registered in the National Covid database. In eight patients, the presence of the SARS‐CoV‐2 virus was a chance‐finding and not the cause of hospital or ICU admission; these patients were excluded from this study, leaving 1369 included patients. Their baseline characteristics and use of organ support during the ICU stay are presented in Table 1.

TABLE 1.

Baseline and clinical characteristics of Danish intensive care unit patients with Coronavirus disease 2019 stratified by thrombosis and bleeding

All patients Patients with thrombosis Patients with bleeding Missing
No. 1369 158 309
Age 68 (58–75) 66 (58–73) 68 (59–75) 0
Female 443 (32) 37 (23) 87 (28) 0

Days from hospital admission to ICU admission

1 (0–4) 1 (0–4) 1 (0–4) 0
Co‐morbidities
Body Mass Index 28 (25 – 33) 28 (25–32) 29 (25–33) 141
Hypertension a 733 (54) 73 (46) 161 (52) 0
Ischemic heart disease b 197 (14) 18 (11) 42 (14) 0
Heart failure c 65 (5) 4 (3) 13 4 0
Diabetes d 325 (24) 30 (19) 64 (21) 0
Chronic obstructive pulmonary disease e 260 (19) 20 (13) 60 (19) 0
Liver disease f 12 (1) 1 (1) 4 (1) 0
Renal disease g 198 (14) 19 (12) 53 (17) 0
Haematological malignancy h 74 (5) 9 (6) 24 (8) 0
Solid tumour cancer i 46 (3) 4 (3) 15 (5) 0
Immunocompromised patient j 154 (11) 19 (12) 48 (16) 0

Use of antithrombotic medications

prior to admission k

410 (31) 45 (29) 102 34 57
Laboratory parameters at ICU admission
Haemoglobin (mmol/L) 8.0 (7.1–8.7) 8.2 (7.3–8.8) 7.9 6.7–8.6) 24
Platelets (×109/L) 236 (177–317) 238 (178–337) 214 (155–290) 61
INR 1.1 (1.0–1.2) 1.1 (1.0–1.2) 1.1 (1.0–1.2) 106
D‐dimer (mg/L) 1.4 (0.8–3.3) 2.3 (1.1–16) 1.7 (1.0–4.2) 398
CRP (mg/L) 120 (71–196) 140 92–222) 124 (73–200) 35
Blood type 97
A 595 (47) 68 (45) 146 (48)
AB 69 (5.4) 10 (6.6) 16 (5.3)
B 147 (12) 16 (11) 32 (11)
0 461 (36) 58 (38) 109 (36)
Organ support during ICU stay
Mechanical ventilation 873 (64) 131 (83) 282 (91) 0

Renal replacement therapy

223 (16) 40 (25) 203 (66) 0

Note: Data are in median Interquartile range (IQR) or no. (%).

Abbreviations: CRP: C‐reactive protein; ICU: intensive care unit; INR: International Normalised Ratio.

a

Here defined as the use of antihypertensive medication.

b

One or more of the following: previous myocardial infarction coronary stenting, stable or unstable angina.

c

Left‐ventricular ejection fraction <40% or New York Heart Association Functional classification 3 or 4.

d

Here defined as the use of any antidiabetic drug (oral or injection).

e

Here defined as the use of inhalation drugs.

f

Presence of liver cirrhosis.

g

Defined as estimated glomerular filtration rate < 60 ml/min/1.73 m2.

h

Here defined as the presence of any type of leukaemia, lymphoma or myeloma.

i

Here defined as the presence of active cancer disease.

j

Defined as one of the following: congenital immunodeficiency, human immunodeficiency virus or use of radiotherapy, chemotherapy or systemic prednisolone or another immunosuppressive agent within the last 6 months.

k

Defined as daily usage of antiplatelet or antithrombotic agents before ICU admission (Definition: warfarin, DOACs, fondaparinux, clopidogrel, ticagrelor or similar. Low‐dose aspirin not included).

4.1. Thrombotic events

One‐hundred and fifty‐eight patients (12%, 95% confidence interval [CI] 10–13) experienced at least one thrombotic event during ICU stay; 11 patients had more than one thrombotic event registered during ICU stay. The median number of ICU days before the thrombotic event was 5 (IQR 1–11). The most frequently registered events were pulmonary embolisms (121 patients [9%, 7.5–10]). Deep‐venous thrombosis was registered in 17 patients (1.2%, 0.7–2.0). Other thrombotic events were stroke (12 patients, 1%), acute myocardial infarction (4 patients, 0.3%) and “other thrombotic events” (17 patients, 1.2%). Increased D‐dimer at admission and use of mechanical ventilation were associated with thrombosis in multivariable analysis (Table 2).

TABLE 2.

Variables associated with thrombosis in intensive care unit patients with Coronavirus disease 2019

HR (95% CI) p Value
Age 1.00 (0.99–1.01) .94
Female 0.62 (0.43–0.89) .01
BMI a 1.00 (0.97–1.02) .82
Haematological malignancy 1.12 (0.52–2.05) .77
Cancer 0.87 (0.27–2.06) .78
Renal disease 0.91 (0.54–1.43) .70
Prior antithrombotic medication 1.01 (0.70–1.42) .96
CRP (increase by 10) b ** 1.03 (1.01–1.42) <.01
D‐dimer c 1.02 (1.01–1.02) <.01
Log2 INR d 1.16 (0.66–1.95) .60
Platelet count (increase by 10) 1.00 (0.99–1.01) .95
Blood type (Blood type 0 = reference) .84
Blood type A 0.92 (0.645–1.307)
Blood type AB 1.20 (0.575–2.250)
Blood type B 0.90 (0.488–1.494)
Mechanical ventilation ICU‐day 1 1.61 (1.18–2.21) <.01
Adjusted analyses **
Female 0.710 (0.46–1.07) .11
D‐dimerc ** 1.012 (1.00–1.02) .010
Mechanical ventilation ICU‐day 1 1.843 (1.28–2.66) <.001

Note: Bold values indicate results with p < .05.

Abbreviations: BMI, Body Mass Index; CRP, C‐reactive protein; HR, hazard ratio; ICU, intensive care unit; INR, International Normalised Ratio.

a

HR for each increase in BMI by 1 (kg/m2).

b

HR for each increase in CRP by 10 units (mg/L).

c

HR for each increase in D‐dimer by 1 unit (mg/L).

d

Log2 INR; indicates that every time INR doubles, then the risk increases by 16%.

**

CRP not included in adjusted analyses due to interaction with D‐dimer; p‐value for interaction effect = .06. As D‐dimer was missing for 398 patients, this analysis only includes 971 patients of which 120 (12%) had a thrombotic event.

4.2. Bleedings

Three‐hundred‐and‐nine patients (23%, 20–25) experienced at least one bleeding episode during the ICU stay. The median number of ICU days before a bleeding event was 7 (Interquartile range (IQR) 2–13). Most patients with bleeding had more than one bleeding event; the median number of bleeding events in each patient was 2 (1–3). One or more major bleeding episodes were seen in 81 patients (6%, 4.8–7.3); the total number of registered major bleeding events was 133. Twenty‐one patients died within 24 h of their major bleeding episode. Patients with minor bleedings were more likely to develop subsequent major bleeding than patients without minor bleedings (p < .0001); minor bleedings were seen in 32 patients (40%) in the days leading up to a major bleeding event.

The most common sites of bleeding were the airways (141 patients (10%, 8.8–12)) and the gastrointestinal tract; (108 patients (8%, 6.6–9.4)) (Supplement 2, Table S1). Mechanical ventilation, low platelet count at admission and haematological malignancy were associated with bleeding (Table 3).

TABLE 3.

Variables associated with bleeding in intensive care unit patients with Coronavirus disease 2019

Bleeding event (any) n = 309 Major bleeding n = 81
HR (95% CI) p Value HR (95% CI) p Value
Age 1.01 (1.00–1.02) <.01 1.01 (1.00–1.03) .13
Female 0.80 (0.62–1.03) .08 1.05 (0.65–1.65) .83
BMI a 1.00 (0.99–1.02) .63 0.97 (0.94–1.01) .16
Haematological malignancy 1.66 (1.06–2.48) .02 2.49 (1.16–4.72) .01
Cancer 2.14 (1.21–3.49) .005 2.68 (0.94–6.02) .03
Renal disease 1.47 (1.08–1.97) .02 2.87 (1.72–4.63) <.0001
Prior antithrombotic medication 1.33 (1.05–1.69) .02 1.94 (1.22–3.05) <.01
CRP (increase by 10) b 1.01 (1.00–1.02) .25 1.02 (1.00–1.05) .08
D‐dimer c 1.01 (1.01–1.02) .0005 1.01 (0.98–1.02) .49
Log2 INR* 1.76 (1.21–2.47) .002 1.88 (0.89–3.45) .07
Platelet count (increase by 10) 0.97 (0.96–0.98) <.0001 0.99 (0.96–1.01) .19
Blood type (Blood type 0 = reference) .83 .44
Blood type A 1.09 (0.85–1.40) 0.67 (0.41–1.09)
Blood type AB 1.02 (0.58–1.68) 0.77 (0.23–1.92)
Blood type B 0.92 (0.61–1.35) 0.90 (0.42–1.75)
Mechanical ventilation d 1.54 (1.23–1.93) .0002 1.79 (1.16–2.78) .01
Adjusted analyses *
Age 1.01 (1.00–1.02) .19
Female 0.95 (0.69–1.30) .76
Haematological malignancy 1.79 (1.05–2.88) .02 4.21 (1.69–9.08) .0007
Cancer 1.42 (0.55–3.00) .40 0.81 (0.05–3.93) .84
Renal disease 1.25 (0.82–1.85) .25 2.55 (1.20–5.08) .010
Prior antithrombotic medication 1.15 (0.82–1.58) .40 1.66 (0.85–3.13) .12
Platelet count (increase by 10) 0.97 (0.96–0.99) .0002 1.01 (0.99–1.04) .37
D‐dimer 1.01 (1.00–1.02) .04 1.01 (0.98–1.02) .62
Log2 INR* 1.30 (0.82–2.04) .26 1.69 (0.67–3.69) .23
Mechanical ventilation ICU day 1 1.55 (1.16–2.06) .003 4.88 (2.08–14.3) .0010

Note: Bold indicates significant results with p < .05.

Abbreviations: BMI, Body Mass Index; CRP, C‐reactive protein; HR, hazard ratio; ICU, Intensive Care Unit; INR, International Normalised Ratio.

a

HR for each increase in BMI by 1 (kg/m2).

b

HR for each increase in CRP by 10 units (mg/L).

c

HR for each increase in D‐dimer by 1 unit (mg/L).

d

HR for Log2 INR indicates that every time INR doubles, the risk increases by 76% (any bleeding, unadjusted analyses).

*

Only variables with a p‐value <.10 in univariate analyses are included in the multivariable analyses; therefore, age and female sex are not included in multivariable analyses for major bleeding.

4.3. Thromboprophylaxis

Before the 20th of April 2020 (the date of publication of the new Danish guidelines [Supplement 1]), most patients received the standard dose of thromboprophylaxis (enoxaparin 40 mg, tinzaparin 4500 units or lower, once daily, or equivalent). After this date, most patients received an increased dose, either intermediate (enoxaparin 40 mg, tinzaparin 4500 units twice daily or equivalent) or therapeutic (weight‐adjusted) dose: On ICU Day 2, 75% (210/281 patients) received standard‐dose LMWH before publications of the new guidelines, whereas after the publication, only 14% (142/1049 patients) received standard prophylaxis and 81% (850/1049) patients received intermediate or therapeutic doses of LMWH (Supplement 2, Figure S1).

In the entire cohort (10th of March 2020–30th June 2021), 1034 patients (76%) of the patients received either intermediate doses (the equivalent of enoxaparin 40 mg × 2) or therapeutic (weight‐adjusted) doses of LMWH during the first 7 days in ICU (Figure 1).

FIGURE 1.

FIGURE 1

Thrombosis prophylaxis in the Danish intensive care unit (ICU) COVID cohort during the first week in ICU. The figure shows the number of patients receiving therapeutic doses of low molecular weight heparin (LMWH), intermediate (twice daily) doses of LMWH or standard thrombosis prophylaxis with LMWH. A small number of patients received unfractionated heparin (UFH) doses unknown. (Therapeutic dose LMWH: Enoxaparin 1 mg/kg/daily or tinzaparin 175 units/kg/daily or equivalent; Intermediate dose LMWH: Enoxaparin 40 mg × 2 or tinzaparin 4500 units × 2 or equivalent; Standard dose LMWH: Enoxaparin 40 mg or lower or tinzaparin 4500 units or lower once daily.)

4.4. Mortality

We analyzed survival in patients with thrombosis and bleeding within the first 7 days in ICU. As 117 patients (9%) had died before Day 7, they were not included in these analyses. Among the remaining 1250 patients, 149 patients had a bleeding episode and 83 had a thrombotic event. A thrombotic event during ICU stay was not associated with increased mortality in unadjusted or adjusted analyses (Figure 2A). The unadjusted hazard ratios for death in patients who had a thrombotic event within the first week in ICU were 1.17 (0.79–1.73) and 1.35 (0.91–2.01, p = .14) when adjusted for age and presence of any cancer, including haematological malignancy.

FIGURE 2.

FIGURE 2

Kaplan–Meier curves with 95% confidence intervals showing survival from intensive care unit (ICU) Day 7 and onwards in (A) Patients with and without thrombotic events during the first week in the ICU. Log‐rank test score 0.59; p = .44. (B) Patients with and without bleeding during the first week in the ICU. Log‐rank test score 17.2; p < .0001. Exactly 117 patients died during the first week in ICU and were not included in the survival analyses, leaving 1250 patients in the analyses. The follow‐up is the same in both groups (thin lines), but the length of confidence intervals (broad markings) differs depending on time of the last event.

Mortality was increased in patients with bleeding versus patients with no bleeding (Figure 2B). The hazard ratio for death in patients with bleeding within the first 7 ICU days was 1.77 (95% CI 1.35–2.34, p < .0001); when adjusted for age and presence of any cancer, the hazard ratio was 1.55 (1.18–2.05, p = .002).

Fifteen patients had both a thrombosis and a bleeding within the first 7 days. Excluding these patients from the analyses did not change the results (data not shown).

4.5. Transfusions

RBC transfusions were given to 338 patients (25%), FFP to 121 patients (9%) and platelet transfusions were given to 75 patients (5%).

Patients with bleeding received more transfusions than non‐bleeding patients. Among the 309 patients with bleedings, 183 (59%) received RBC as compared to 15% of non‐bleeding patients (n = 1060) (p < .0001), 74 (24%) received FFP versus 4% of non‐bleeders (p < .0001) and 56 (18%) received platelet transfusions vs only 19 (2%) of non‐bleeders (p < .0001). Patients with thrombotic events (n = 158) also received more transfusions than patients without thrombotic events (n = 1211): RBC 39% versus 23% (p < .0001), plasma 13% versus 8% (p = .07) and platelet concentrate 9% versus 5% (p = .05).

5. DISCUSSION

In this study, we describe the frequency of thromboembolic and bleeding events in a nationwide ICU cohort of COVID‐19 patients during the first and second waves of the pandemic in Denmark. We found an overall high rate of thrombosis and bleeding; 12% of patients experienced a thrombotic event, 23% bled during the ICU stay and 6% experienced a major bleeding episode. Bleeding was associated with mortality, whereas thrombosis was not. Most patients received intermediate doses of LMWH in accordance with the national recommendations at the time.

It is well established that patients admitted to the ICU with COVID‐19 are at high risk of thrombotic events, particularly venous thromboembolism (VTE). 14 However, the VTE rates reported have varied considerably, with higher rates generally reported in earlier studies. In a meta‐analysis published during the first half of 2020 based on 43 studies reporting on ICU cohorts, the estimated prevalence of VTE was 22.7%. 15 The highest rates were reported in single‐centre studies where universal VTE screening was used. 16 , 17 In more recent studies, the reported rates of VTE have been lower. A large multicentre cohort study in 3239 critically ill patients with COVID‐19 found that 6.3% developed VTE; independent predictors were male sex and high D‐dimer on ICU admission. 18 The INSPIRATION multicentre trial of intermediate‐ versus standard‐dose heparin‐based thromboprophylaxis in 562 critically ill patients found VTE in 3.3% versus 3.5% of patients. 19 A joint analysis combining data from the ACTIV‐4a randomised trial and two trials using response‐adaptive randomisation (REMAP‐CAP and ATTACC) assessed therapeutic‐dose heparin or LMWH versus standard thromboprophylaxis in 1098 critically ill patients and found an incidence of major thrombotic events in 6.4% versus 10.4%. 20 In our study, the thrombosis incidence of 12% is higher than described in these large multicentre trials. One may speculate that our population had more severe respiratory failure, as the use of mechanical ventilation in our study was considerably higher (64%) than in the INSPIRATION trial (20%) and the REMAP‐CAP/ATTACC trials (27%–30%). As seen in Table 2, mechanical ventilation was associated with an increased risk of thrombosis in our cohort.

While the initial focus might have been primarily on thrombosis, reports on bleedings in COVID‐19 patients followed. Al‐Samkari and co‐authors published an observational study of bleeding and thrombotic manifestations in COVID‐19 patients, 21 where the overall bleeding rate was 4.8% (95% CI, 2.9–7.3); however, in critically ill patients the rate was 7.6% (3.9–13.3) and all major bleedings but one occurred in critically ill patients (5.6%; 2.4–10.7). Thrombocytopenia and low fibrinogen, although rare, were associated with major bleedings. 21 This rate is comparable to that of our study, where major bleeding was seen in 6% (4.8–7.3).

The overall bleeding rate of 23% in our study is higher than previously described. There may be several reasons for this; our patients may have been more severely ill, and the higher doses of thromboprophylaxis received by most patients may have contributed. Increased bleeding rates in patients who received intermediate or therapeutic doses were seen in the INSPIRATION 19 trial and the analysis of the ACTIV‐4a, REMAP‐CAP and ATTACC trials. 20 In line with previous studies, 21 we also found that a low platelet count was associated with bleeding and that major bleeding events were associated with an increased risk of mortality. 18 , 22 Furthermore, more than one‐third of the major bleedings were preceded by minor bleedings, a clear indication that minor bleedings should be taken as a warning sign, as seen in other patient populations. 23

The underlying mechanisms of the COVID‐19 associated coagulopathy and thrombosis have not yet been established. The SARS‐CoV‐2 itself does not seem to have innate prothrombotic properties. 24 Instead, the coagulopathy seen in critically ill patients is likely a consequence of an overwhelming hyperinflammatory response. 25 It is also well known that severe infections cause systemic inflammation and this includes activation of the coagulation system. Previously, viral pneumonias caused by H1N1 or SARS‐CoV‐1 have been reported to induce hypercoagulability 26 and increased rates of VTE. 27 , 28 , 29

Furthermore, as regulation of the coagulation system in critically ill patients is highly complex and closely linked to the inflammatory response, it may be that coagulation activation is a marker of disease severity rather than the cause itself. It is also important to consider that the risk of both bleeding and thrombosis is increased in critically ill patients in general, regardless of COVID‐19. 30 , 31 This has been confirmed in several randomised trials, although the incidence varies considerably. 32 , 33 For example, in the Transfusion Requirements in Septic Shock trial, bleeding events were registered in 30% of patients, 33 and in a sub‐study of a thromboprophylaxis trial (PROTECT), bleeding occurred in 13%, however, patients with thrombocytopenia at baseline were excluded from this study. 31 In ICU patients with thrombocytopenia, the risk of bleeding is even higher, with rates up to 57%. 23 The increased risk of thromboembolic events in ICU patients is also well‐established, 34 , 35 , 36 and VTE rates ranging from 5% to 15% have previously been described 37 , 38 , 39 ; the high rates have also been confirmed in autopsy studies. 40 , 41

The strength of this study is the complete nationwide cohort of COVID‐19 ICU patients during the first and second wave of the pandemic and the high availability of data harvested manually by medical staff (doctors, nurses and senior medical students) directly from patient files. We had few missing data and complete follow‐up.

This study has several limitations. Due to the retrospective data registration, there is a risk of underestimating the occurrence of both minor bleedings and minor thrombotic events. We did not collect data on thrombotic events before ICU admission, nor did we collect data on thromboprophylaxis before ICU admission or after Day 7 in the ICU. Our adjusted analyses were data‐driven, so the results should be confirmed in independent datasets. Most importantly, we cannot make any inferences about cause and effect because of the observational design.

6. CONCLUSIONS

The frequencies of thrombotic events and bleedings were high in this nationwide cohort of ICU patients with COVID‐19. Based on this data, it is not apparent that the increased doses of thromboprophylaxis were beneficial.

AUTHOR CONTRIBUTIONS

This study was designed by the Danish Covid Thrombosis working group (Lene Russell, Jens Michelsen, Christine Lodberg Hvas, Anne Sofie Andreasen, Jens Wolfgang Leistner and Anders Perner). The study protocol was written by Lene Russell and Jens Wolfgang Leistner and approved by all members of the thrombosis working group; the manuscript was written by Lene Russell and Christine Lodberg Hvas and approved by all authors. The data for this study was collected by Sarah Weihe, Emilie Kabel Madsen, Anne Craveiro Brøchner, Anders Bastiansen, Frederik Mølgaard Nielsen, Jens Michelsen, Jens Wolfgang Leistner, Nick Meier and Lene Russell. Lene Russell performed the statistical analyses. Nicolai Haase is responsible for the overall management of the Danish covid‐cohort database. All authors read and approved the final manuscript.

FUNDING INFORMATION

This research project did not receive any funding.

Supporting information

Appendix S1. Supporting Information.

Appendix S2. Supporting Information.

ACKNOWLEDGEMENTS

The authors would like to thank research nurse Helene Brix and medical student Esben Clapp Christensen for their help in collecting the data.

Jens Wolfgang Leistner, Lene Russell, Jens Michelsen, Anne Craveiro Brøchner, Anne Sofie Andreasen and Christine Lodberg Hvas have no conflicts of interest to declare.

Anders Perner holds grants from the Novo Nordisk Foundation to do trials in ICU patients, including those with COVID‐19. Bodil Steen Rasmussen holds a grant from the Novo Nordisk Foundation for a trial in COVID‐19 patients. The Department of Intensive Care, Rigshospitalet, has received research funds from Fresenius Kabi, Pfizer, AM‐Pharma and Sygeforsikringen ‘Danmark’.

Russell L, Weihe S, Madsen EK, et al. Thromboembolic and bleeding events in ICU patients with COVID‐19: A nationwide, observational study. Acta Anaesthesiol Scand. 2023;67(1):76‐85. doi: 10.1111/aas.14157

REFERENCES

  • 1. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID‐19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054‐1062. doi: 10.1016/S0140-6736(20)30566-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost. 2020;18(4):844‐847. doi: 10.1111/jth.14768 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Klok F, Kruip M, Van Meer N, et al. Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID‐19: an updated analysis. Thromb Res. 2020;191:148‐150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Middeldorp S, Coppens M, van Haaps TF, et al. Incidence of venous thromboembolism in hospitalized patients with COVID‐19. J Thromb Haemost. 2020;18(8):1995‐2002. doi: 10.1111/jth.14888 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Poissy J, Goutay J, Caplan M, et al. Pulmonary embolism in patients with COVID‐19: awareness of an increased prevalence. Circulation. 2020;142(2):184‐186. doi: 10.1161/CIRCULATIONAHA.120.047430 [DOI] [PubMed] [Google Scholar]
  • 6. Cui S, Chen S, Li X, Liu S, Wang F. Prevalence of venous thromboembolism in patients with severe novel coronavirus pneumonia. J Thromb Haemost. 2020;18(6):1421‐1424. doi: 10.1111/jth.14830 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Fox SE, Akmatbekov A, Harbert JL, Li G, Quincy Brown J, Vander Heide RS. Pulmonary and cardiac pathology in African American patients with COVID‐19: an autopsy series from New Orleans. Lancet Respir Med. 2020;8(7):681‐686. doi: 10.1016/S2213-2600(20)30243-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Yao XH, Luo T, Shi Y, et al. A cohort autopsy study defines COVID‐19 systemic pathogenesis. Cell Res. 2021;31(8):836‐846. doi: 10.1038/s41422-021-00523-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Connors JM, Levy JH. COVID‐19 and its implications for thrombosis and anticoagulation. Blood. 2020;135(23):2033‐2040. doi: 10.1182/BLOOD.2020006000 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Obi AT, Barnes GD, Wakefield TW, et al. Practical diagnosis and treatment of suspected venous thromboembolism during COVID‐19 pandemic. J Vasc Surg Venous Lymphat Disord. 2020;8(4):526‐534. doi: 10.1016/j.jvsv.2020.04.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Flaczyk A, Rosovsky RP, Reed CT, Bankhead‐Kendall BK, Bittner EA, Chang MG. Comparison of published guidelines for management of coagulopathy and thrombosis in critically ill patients with COVID 19: implications for clinical practice and future investigations. Crit Care. 2020;24(1):559. doi: 10.1186/s13054-020-03273-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Haase N, Plovsing R, Christensen S, et al. Characteristics, interventions and longer‐term outcomes of COVID‐19 ICU patients in Denmark: a nationwide, observational study. Acta Anaesthesiol Scand. 2020;65(1):68‐75. doi: 10.1111/aas.13701 [DOI] [PubMed] [Google Scholar]
  • 13. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde, JG. Research electronic data capture (REDCap)–a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inf. 2009;42(2):377‐381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Suh YJ, Hong H, Ohana M, et al. Pulmonary embolism and deep vein thrombosis in Covid‐19: a systematic review and meta‐analysis. Radiology. 2021;298:E70‐E80. doi: 10.1016/B978-1-4557-0101-8.00038-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Nopp S, Moik F, Jilma B, Pabinger I, Ay C. Risk of venous thromboembolism in patients with COVID‐19: a systematic review and meta‐analysis. Res Pract Thromb Haemost. 2020;4(7):1178‐1191. doi: 10.1002/rth2.12439 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Llitjos JF, Leclerc M, Chochois C, et al. High incidence of venous thromboembolic events in anticoagulated severe COVID‐19 patients. J Thromb Haemost. 2020;1‐4:1743‐1746. doi: 10.1111/jth.14869 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Nahum J, Morichau‐Beauchant T, Daviaud F, et al. Venous thrombosis among critically ill patients with coronavirus disease 2019 (COVID‐19). JAMA Netw Open. 2020;3(5):2020‐2023. doi: 10.1001/jamanetworkopen.2020.10478 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Al‐Samkari H, Gupta S, Leaf RK, et al. Thrombosis, bleeding, and the observational effect of early therapeutic anticoagulation on survival in critically ill patients with covid‐19. Ann Intern Med. 2021;174(5):622‐632. doi: 10.7326/M20-6739 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Sadeghipour P, Talasaz AH, Rashidi F, et al. Effect of intermediate‐dose vs standard‐dose prophylactic anticoagulation on thrombotic events, extracorporeal membrane oxygenation treatment, or mortality among patients with COVID‐19 admitted to the intensive care unit. JAMA. 2021;325:1620‐1630. doi: 10.1001/jama.2021.4152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. The REMAP‐CAP , ACTIV‐4a , ATTACC Investigators . Therapeutic anticoagulation with heparin in critically ill patients with Covid‐19. N Engl J Med. 2021;385(9):777‐789. doi: 10.1056/nejmoa2103417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Al‐Samkari H, Karp Leaf RS, Dzik WH, et al. COVID‐19 and coagulation: bleeding and thrombotic manifestations of SARS‐CoV‐2 infection. Blood. 2020;136(4):489‐500. doi: 10.1182/BLOOD.2020006520 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Demelo‐Rodriguez P, Farfán‐Sedano AI, Pedrajas JM, et al. Bleeding risk in hospitalized patients with COVID‐19 receiving intermediate‐ or therapeutic doses of thromboprophylaxis. J Thromb Haemost. 2021;19(8):1981‐1989. doi: 10.1111/jth.15400 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Russell L, Holst LB, Kjeldsen L, Stensballe J, Perner A. Risks of bleeding and thrombosis in intensive care unit patients with haematological malignancies. Ann Intensive Care. 2017;7:119. doi: 10.1186/s13613-017-0341-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Greinacher A, Selleng K, Mayerle J, et al. Anti–platelet factor 4 antibodies causing VITT do not cross‐react with SARS‐CoV‐2 spike protein. Blood. 2021;138(14):1269‐1277. doi: 10.1182/blood.2021012938 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Bahraini M, Dorgalaleh A. The impact of SARS‐CoV‐2 infection on blood coagulation and fibrinolytic pathways: a review of prothrombotic changes caused by COVID‐19. Semin Thromb Hemost. 2021;48:19‐30. doi: 10.1055/s-0041-1736166 [DOI] [PubMed] [Google Scholar]
  • 26. Goeijenbier M, Van Wissen M, Van de Weg C, et al. Review: viral infections and mechanisms of thrombosis and bleeding. J Med Virol. 2012;84:1680‐1696. doi: 10.1002/jmv [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Avnon LS, Munteanu D, Smoliakov A, Jotkowitz A, Barski L. Thromboembolic events in patients with severe pandemic influenza A/H1N1. Eur J Intern Med. 2015;26(8):596‐598. doi: 10.1016/j.ejim.2015.08.017 [DOI] [PubMed] [Google Scholar]
  • 28. Bunce PE, High SM, Nadjafi M, Stanley K, Liles WC, Christian MD. Pandemic H1N1 influenza infection and vascular thrombosis. Clin Infect Dis. 2011;52(2):14‐17. doi: 10.1093/cid/ciq125 [DOI] [PubMed] [Google Scholar]
  • 29. Chong PY, Chui P, Forensic M, et al. Analysis of deaths during the severe acute respiratory syndrome (SARS) epidemic in Singapore. ArchPathol Lab Med. 2004;128:195‐204. [DOI] [PubMed] [Google Scholar]
  • 30. Arnold DM, Donahoe L, Clarke FJ, et al. Bleeding during critical illness: a prospective cohort study using a new measurement tool. Clin Invest Med. 2007;30(2):E93‐E102. http://www.ncbi.nlm.nih.gov/pubmed/17716547 [DOI] [PubMed] [Google Scholar]
  • 31. Lauzier F, Arnold DM, Rabbat C, et al. Risk factors and impact of major bleeding in critically ill patients receiving heparin thromboprophylaxis. Intensive Care Med. 2013;39:2135‐2143. doi: 10.1007/s00134-013-3044-3 [DOI] [PubMed] [Google Scholar]
  • 32. Haase N, Wetterslev J, Winkel P, Perner A. Bleeding and risk of death with hydroxyethyl starch in severe sepsis: post hoc analyses of a randomized clinical trial. Intensive Care Med. 2013;39(12):2126‐2134. doi: 10.1007/s00134-013-3111-9 [DOI] [PubMed] [Google Scholar]
  • 33. Holst LB, Haase N, Wetterslev J, et al. Lower versus higher hemoglobin threshold for transfusion in septic shock: supplementary appendix. N Engl J Med. 2014;371(15):1381‐1391. doi: 10.1056/NEJMoa1406617 [DOI] [PubMed] [Google Scholar]
  • 34. Cook D, Attia J, Weaver B, McDonald E, Meade M, Crowther M. Venous thromboembolic disease: an observational study in medical‐surgical intensive care unit patients. J Crit Care. 2000;15(4):127‐132. doi: 10.1053/jcrc.2000.19224 [DOI] [PubMed] [Google Scholar]
  • 35. Selby R, Geerts WH. Venous thromboembolism. Risk factors and prophylaxis. Semin Respir Crit Care Med. 2000;21(6):493‐501. http://www.ncbi.nlm.nih.gov/pubmed/7656537 [DOI] [PubMed] [Google Scholar]
  • 36. Kaplan D, Charles Casper T, Gregory Elliott C, et al. VTE incidence and risk factors in patients with severe sepsis and septic shock. Chest. 2015;148(5):1224‐1230. doi: 10.1378/chest.15-0287 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Lim W, Meade M, Lauzier F, et al. Failure of anticoagulant thromboprophylaxis: risk factors in medical‐surgical critically ill patients. Crit Care Med. 2015;43(2):401‐410. doi: 10.1097/CCM.0000000000000713 [DOI] [PubMed] [Google Scholar]
  • 38. Patel R, Cook DJ, Meade MO, et al. Burden of illness in venous ThromboEmbolism in critical care: a multicenter observational study. J Crit Care. 2005;20(4):341‐347. doi: 10.1016/j.jcrc.2005.09.014 [DOI] [PubMed] [Google Scholar]
  • 39. Samama MM, Cohen AT, Darmon JY, et al. A comparison of enoxaparin with placebo for the prevention of venous thromboembolism in acutely ill medical patients. Prophylaxis in Medical Patients with Enoxaparin Study Group. N Engl J Med. 2022;341(11):793‐800. [DOI] [PubMed] [Google Scholar]
  • 40. Mort TC, Yeston NS. The relationship of pre mortem diagnoses and post mortem findings in a surgical intensive care unit. Crit Care Med. 1999;27(2):299‐303. doi: 10.1097/00003246-199902000-00035 [DOI] [PubMed] [Google Scholar]
  • 41. Pastores SM, Dulu A, Voigt L, Raoof N, Alicea M, Halpern NA. Premortem clinical diagnoses and postmortem autopsy findings: discrepancies in critically ill cancer patients. Crit Care. 2007;11(2):R48. doi: 10.1186/cc5782 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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Supplementary Materials

Appendix S1. Supporting Information.

Appendix S2. Supporting Information.


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