Literature DB >> 33217420

Incidence of VTE and Bleeding Among Hospitalized Patients With Coronavirus Disease 2019: A Systematic Review and Meta-analysis.

David Jiménez1, Aldara García-Sanchez2, Parth Rali3, Alfonso Muriel4, Behnood Bikdeli5, Pedro Ruiz-Artacho6, Raphael Le Mao7, Carmen Rodríguez2, Beverley J Hunt8, Manuel Monreal9.   

Abstract

BACKGROUND: Individual studies have reported widely variable rates for VTE and bleeding among hospitalized patients with coronavirus disease 2019 (COVID-19). RESEARCH QUESTION: What is the incidence of VTE and bleeding among hospitalized patients with COVID-19?
METHODS: In this systematic review and meta-analysis, 15 standard sources and COVID-19-specific sources were searched between January 1, 2020, and July 31, 2020, with no restriction according to language. Incidence estimates were pooled by using random effects meta-analyses. Heterogeneity was evaluated by using the I2 statistic, and publication bias was assessed by using the Begg and Egger tests.
RESULTS: The pooled incidence was 17.0% (95% CI, 13.4-20.9) for VTE, 12.1% (95% CI, 8.4-16.4) for DVT, 7.1% (95% CI, 5.3-9.1) for pulmonary embolism (PE), 7.8% (95% CI, 2.6-15.3) for bleeding, and 3.9% (95% CI, 1.2-7.9) for major bleeding. In subgroup meta-analyses, the incidence of VTE was higher when assessed according to screening (33.1% vs 9.8% by clinical diagnosis), among patients in the ICU (27.9% vs 7.1% in the ward), in prospective studies (25.5% vs 12.4% in retrospective studies), and with the inclusion of catheter-associated thrombosis/isolated distal DVTs and isolated subsegmental PEs. The highest pooled incidence estimate of bleeding was reported for patients receiving intermediate- or full-dose anticoagulation (21.4%) and the lowest in the only prospective study that assessed bleeding events (2.7%).
INTERPRETATION: Among hospitalized patients with COVID-19, the overall estimated pooled incidence of VTE was 17.0%, with higher rates with routine screening, inclusion of distal DVT, and subsegmental PE, in critically ill patients and in prospective studies. Bleeding events were observed in 7.8% of patients and were sensitive to use of escalated doses of anticoagulants and nature of data collection. Additional studies are required to ascertain the significance of various thrombotic events and to identify strategies to improve patient outcomes. TRIAL REGISTRY: PROSPERO; No.: CRD42020198864; URL: https://www.crd.york.ac.uk/prospero/.
Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; DVT; VTE; bleeding; pulmonary embolism

Mesh:

Substances:

Year:  2020        PMID: 33217420      PMCID: PMC7670889          DOI: 10.1016/j.chest.2020.11.005

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


Coronavirus disease 2019 (COVID-19), a viral illness caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), results in substantial respiratory pathology and also causes important manifestations outside the pulmonary parenchyma. , COVID-19 may predispose patients to venous thromboembolic events (DVT and/or pulmonary embolism [PE]) due to hypoxia, excessive inflammation, platelet activation, endothelial dysfunction, and stasis. Accumulating evidence suggests that hospitalized patients with COVID-19 may have a high incidence of VTE, including those receiving standard thromboprophylaxis according to guidelines for acutely ill medical patients.4, 5, 6, 7 FOR EDITORIAL COMMENT, SEE PAGE 908 However, an accurate estimate of the incidence of VTE in hospitalized patients diagnosed with COVID-19 remains unclear, with incidence rates reported between 4.8% and 85%. , 8, 9, 10, 11 This variability might have been influenced by the type of events counted, the type of testing for VTE, assessment setting, and the use and type of thromboprophylaxis. Furthermore, the assessment of PE in patients with COVID-19 is conflated by the presence of immunothrombosis. It is likely that in some patients with COVID-19, local inflammation in the lungs with subsequent endothelial inflammation, complement activation, thrombin generation, platelet and leukocyte recruitment, and the initiation of innate and adaptive immune responses culminate in in situ small pulmonary vessel thrombosis. In addition to an increased risk of thrombosis, patients with COVID-19 might be at risk of excess bleeding due to factors such as imbalances in platelet production and destruction, coagulation factor consumption in the setting of severe inflammation, and use of antiplatelet or anticoagulant agents. A recent retrospective study, which included 144 critically ill patients primarily receiving standard-dose prophylactic anticoagulation, found a major bleeding event rate of 5.6%. Comprehensive assessment of the thrombotic and hemorrhagic event rates is critical in the thorough assessment of the disease course for COVID-19 and for considering strategies to mitigate patient outcomes. Our goal, therefore, was to conduct a comprehensive systematic review and meta-analysis to assess the overall incidence of VTE and bleeding among hospitalized patients with COVID-19.

Materials and Methods

We prospectively submitted the systematic review protocol for registration on PROSPERO (CRD42020198864) (e-Appendix 1). We followed the Reporting Checklist for Meta-analyses of Observational Studies (MOOSE) to conduct and report this systematic review (e-Table 1).

Selection Criteria and Search Strategy

From January 1, 2020, to July 31, 2020, we included observational studies such as cohort and cross-sectional studies in any geographical area evaluating the incidence of VTE and/or bleeding among hospitalized patients with World Health Organization-defined confirmed or probable COVID-19. Studies enrolling < 10 consecutive patients initially hospitalized for COVID-19 were excluded. We searched MEDLINE (using the Ovid platform), PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature (using the Ovid platform), the Cochrane Library, COVID-19 Open Research Dataset Challenge, COVID-19 Research Database (World Health Organization), Epistemonikos (COVID-19 Living Overview of the Evidence platform), EPPI Centre living systematic map of the evidence, and reference lists of included papers. Preprint servers (bioRxiv, medRxiv, and Social Science Research Network First Look) and coronavirus resource centers of the Lancet, JAMA, and the New England Journal of Medicine (e-Appendix 2) were hand-searched. The search was not limited by language. The search strategy is available in e-Appendix 2.

Data Collection

We screened titles and abstracts, reviewed full texts, and extracted data. Risk of bias was assessed by two authors (D. J. and A. G.-S.) and independently using standardized prepiloted forms. Disagreements were resolved by discussion within the wider team (P. R., B. B., and M. M.).

Outcomes

The primary outcome was the incidence of nonfatal or fatal VTE during hospitalization for COVID-19, expressed as the proportion of patients with a diagnosis of VTE. VTE included upper and lower limb DVT and PE diagnosed by using accepted imaging tests, either following clinical suspicion or by routine screening. The secondary outcome was the incidence of bleeding during hospitalization for COVID-19. The incidence of major bleeding (including fatal bleeds) was also determined. Definitions of major bleeding were according to definitions in the individual studies. The outcomes data from the first available time point identified as a primary end point from each study were incorporated into the primary analysis.

Data Analysis

Because of high heterogeneity (as expected and observed), pooled data on the incidence of VTE and major bleeding were analyzed by using a random effects (DerSimonian and Laird method) model approach. Statistical heterogeneity was measured by using the Higgins I 2 statistic. , The Newcastle-Ottawa Scale was used to rate risk of bias for comparative nonrandomized studies corresponding to each study’s design (cohort or cross-sectional). , The Begg rank correlation method was used to assess for publication bias.

Prespecified Subgroup Analyses

Data for subgroup effects were analyzed according to VTE type (ie, DVT vs PE), as well as setting (ward vs ICU), type of assessment for VTE (ie, screening vs clinical diagnosis), intensity of pharmacologic thromboprophylaxis (no pharmacologic thromboprophylaxis [arbitrarily predefined as ≤ 40% of the study population receiving any pharmacologic prophylaxis] vs standard-dose thromboprophylaxis [arbitrarily predefined as ≥ 70% of the study population receiving standard-dose thromboprophylaxis] vs intermediate-dose thromboprophylaxis or therapeutic anticoagulation), geographical area (North America vs Europe vs rest of the world), and study design (prospective vs retrospective). We also analyzed the incidence of PE and DVT after excluding episodes of isolated subsegmental PE (ISSPE) and catheter-associated thrombosis (CAT)/isolated distal DVT (IDDVT), respectively.

Prespecified Sensitivity Analyses

Two sensitivity analyses were conducted to test the robustness of the study findings. First, outcomes were analyzed from the longest available follow-up points in studies reporting outcomes at multiple time points to ensure no significant changes in outcome estimates. Second, supplemental analyses with inverse variance fixed effects models were run. Analyses were conducted by using Stata version 14.2 (StataCorp).

Results

The searches yielded 10,141 citations. After duplicates were removed and the titles and abstracts reviewed, 9,889 articles were excluded. Of the remaining 252 studies, 203 were excluded after reviewing the full-text manuscript. A total of 49 studies reporting the incidence of venous thrombosis (n = 44), bleeding (n = 1), or both (n = 4) were included in the review. , , 8, 9, 10, 11 , 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62 Two studies included overlapping patient populations, , and only outcomes data from the first publication were considered for the analyses (Fig 1 ).
Figure 1

Study selection. CINAHL = Cumulative Index to Nursing and Allied Health Literature; COVID-19 = coronavirus disease 2019.

Study selection. CINAHL = Cumulative Index to Nursing and Allied Health Literature; COVID-19 = coronavirus disease 2019.

Descriptive Characteristics

This review is based on a pooled sample of 18,093 patients with reported information related to VTE, 1,273 of whom experienced a VTE event (47 studies), , , 8, 9, 10, 11 , 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 , 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 and a pooled sample of 1,411 patients with reported information related to bleeding, 148 of whom experienced a bleeding event (five studies). , , , , The sample sizes ranged widely across studies (median, 108 patients; range, 10-1,477). Among the 47 studies that reported information related to VTE, eight (17%) were conducted in the United States, , , , , , , , 32 (68%) in Europe, , , , , , , , , 28, 29, 30, 31, 32, 33, 34, 35, 36 , 40, 41, 42 , , , , , 52, 53, 54, 55, 56, 57, 58 , and seven (15%) elsewhere. , , , , , , The most common study design was retrospective (33 of 47 [70%]), , , , , 20, 21, 22, 23, 24, 25 , , 29, 30, 31, 32 , , , , 39, 40, 41 , 43, 44, 45, 46 , , , 54, 55, 56 , 58, 59, 60 followed by prospective (n = 10 [21%]) , , , , , , , , , and cross-sectional (n = 4 [9%]). , , , Twenty-one studies (21 of 47; [45%]) were conducted exclusively in the ICU setting, , , , , , , , , , 35, 36, 37 , , , , , , , , , whereas 10 studies (23%) only enrolled patients in the ward setting , , , , , , , , , (Table 1 ). None of the studies identified by this systematic review had VTE and bleeding events independently adjudicated.
Table 1

Characteristics of Included Studies

StudyNo.CountrySetting (No.)DesignAssessment for VTE (No.)Screening MethodType of VTEBleeding AssessmentIntensity of Pharmacologic Thromboprophylaxis (%)Risk of Bias
Al-Samkari et al8400United StatesWard (256)ICU (144)RetrospectiveClinical diagnosisSVT/DVT/PEYes (WHO grading system)None (2)Standard dose (89)Intermediate dose (9)8
Artifoni et al2071FranceWardRetrospectiveScreening for DVT (71)Clinical diagnosis for PE (71)Lower limb ultrasoundDVT/PENoWeight-adjusted (99)9
Beun et al2175The NetherlandsICURetrospectiveClinical diagnosis...DVT/PENoNA6
Bilaloglu et al223,334United StatesWard (2,505)ICU (829)RetrospectiveClinical diagnosis...DVT/PENoStandard dose7
Cattaneo et al23388ItalyWardRetrospectiveScreening (64)Clinical diagnosis (324)Lower limb ultrasoundDVTNoStandard dose8
Chen et al241,008ChinaNARetrospectiveClinical diagnosis...PENoNA7
Chen et al2588ChinaICURetrospectiveScreening (88)UltrasoundDVTNoStandard dose8
Criel et al2682BelgiumWard (52)ICU (30)Cross-sectionalScreening (82)Upper and lower limb ultrasoundDVTNoNone (4)Standard dose (60) Intermediate dose (37)7
Cui et al2781ChinaICURetrospectiveClinical diagnosis...DVT/PENoNone6
Demelo-Rodriguez et al28156SpainWardProspectiveScreening (if D-dimer 1,000 ng/mL) (156)Lower limb ultrasoundDVTNoStandard dose8
Desborough et al2966United KingdomICURetrospectiveClinical diagnosis...DVT/PENoStandard dose8
Dubois-Silva et al30171SpainWardRetrospectiveClinical diagnosis...PENoStandard dose9
Fauvel et al312,878FranceWardRetrospectiveClinical diagnosis...PENoNA8
Fraissé et al3292FranceICURetrospectiveClinical diagnosis...DVT/PENAStandard dose (47)Full dose (therapeutic) (53)8
Grandmaison et al3358SwitzerlandWard (29)ICU (29)Cross-sectionalScreening (58)Neck, upper and lower limb ultrasoundDVTNoNone (12)Standard dose (82)Full dose (therapeutic) (6)8
Grillet et al34280FranceNARetrospectiveClinical diagnosis...PENoNA6
Hékimian et al3551FranceICURetrospectiveClinical diagnosis...PENoNA5
Helms et al36150FranceICUProspectiveClinical diagnosis...DVT/PEYes (not reported)Standard dose (70)Full dose (therapeutic) (30)9
Hippensteel et al3791United StatesICURetrospectiveClinical diagnosis...DVT/PENoNA7
Klok et al5184NetherlandsICUProspectiveClinical diagnosis...DVT/PENoNA7
Klok et al38184NetherlandsICUProspectiveClinical diagnosis...DVT/PENoNA7
Koleilat et al393,404United StatesNARetrospectiveClinical diagnosis...DVTNoNA7
Llitjos et al4026FranceICURetrospectiveScreening (26)Lower limb ultrasoundDVTNoStandard dose (31)Full dose (therapeutic) (69)8
Lodigiani et al41388ItalyWard (327)ICU (61)RetrospectiveClinical diagnosis...DVT/PENoNone (14)Standard dose (45)Intermediate dose (22)Full dose (therapeutic) (20)9
Longchamp et al4225SwitzerlandICUProspectiveScreening for DVT (25)Clinical diagnosis for PE (25)Lower limb ultrasoundDVT/PENoStandard dose9
Maatman et al43109United StatesICURetrospectiveClinical diagnosis...DVT/PENoStandard dose9
Mazzaccaro et al4432ItalyWardRetrospectiveScreening (32)Upper and lower limb ultrasound, and CTPADVT/PENoNA7
Mei et al45256ChinaWard (211)ICU (45)RetrospectiveClinical diagnosis...DVT/PENoNA9
Mestre- Gómez et al46452SpainWardRetrospectiveClinical diagnosis...PENoNA5
Middeldorp et al11198NetherlandsWard (123)ICU (75)RetrospectiveScreening (55)Clinical diagnosis (143)Lower limb ultrasoundDVT/PENoStandard dose (62)Intermediate dose (38)9
Minuz et al4710ItalyWardProspectiveScreening (10)CTPAPENoNA7
Moll et al48210United StatesWard (108)ICU (102)RetrospectiveClinical diagnosisDVT/PENoStandard dose8
Nahum et al4934FranceICUProspectiveScreening (34)Lower limb ultrasoundDVTNoNA8
Patell et al50399United StatesNARetrospectiveClinical diagnosis...DVT/PEYes (ISTH criteria)None (7)Standard dose (67)Intermediate dose (22)Full dose (therapeutic) (38)9
Pesavento et al51324ItalyWardRetrospectiveNA...NAYes (ISTH criteria)Standard dose (74)Intermediate dose (26)9
Poissy et al4107FranceICURetrospectiveClinical diagnosis...PENoNA6
Ren et al948ChinaICUCross-sectionalScreening (48)Lower limb ultrasoundDVTNoStandard dose7
Rieder et al5249GermanyWard (41)ICU (8)ProspectiveClinical diagnosis...PENoNA8
Santoliquido et al5384ItalyWardProspectiveScreening (84)Lower limb ultrasoundDVTNoStandard dose9
Stoneham et al54274United KingdomNARetrospectiveClinical diagnosis...DVT/PENoNA5
Tavazzi et al5554ItalyICURetrospectiveClinical diagnosis...DVT/PENoStandard dose5
Thomas et al1063United KingdomICURetrospectiveClinical diagnosis...DVT/PENoStandard dose8
Trimaille et al56289FranceWardRetrospectiveClinical diagnosis...DVT/PENoNone (11)Standard dose (59)Intermediate dose (11)Full dose (therapeutic) (20)8
Voicu et al5756FranceICUProspectiveScreening (56)UltrasoundDVTNoStandard dose8
Whyte et al581,477United KingdomWard (1,255)ICU (222)RetrospectiveClinical diagnosis...PENoStandard dose7
Wright et al5944United StatesICURetrospectiveClinical diagnosis...DVT/PENoNA4
Xu et al60138ChinaWard (123)ICU (15)RetrospectiveScreening for ICU patients (15)Clinical diagnosis for ward patients (123)Lower limb ultrasoundDVTYes (not reported)None (70)Standard dose (30)8
Zerwes et al6120GermanyICUProspectiveScreening (20)Lower limb ultrasoundDVTNoNone (40)Standard dose (30)Intermediate dose (15)Full dose (therapeutic) (15)6
Zhang et al62143ChinaICUCross-sectionalScreening (143)Lower limb ultrasoundDVTNoNone (63)Standard prophylaxis (37)8

CTPA = CT pulmonary angiogram; ISTH = International Society on Thrombosis and Haemostasis; NA = not available; PE = pulmonary embolism; SVT = superficial vein thrombosis; WHO = World Health Organization.

Characteristics of Included Studies CTPA = CT pulmonary angiogram; ISTH = International Society on Thrombosis and Haemostasis; NA = not available; PE = pulmonary embolism; SVT = superficial vein thrombosis; WHO = World Health Organization. The mean age was consistently between 52 and 71 years. The proportion of male subjects ranged from 46% to 81%. Approximately 0% to 12% of patients had a history of VTE, and up to 24% of patients had cancer. The follow-up duration varied from 2 to 55 days (e-Table 2). In 19 studies (19 of 31 [61%]), clinicians used standard thromboprophylaxis for ≥ 70% of the patients8, 9, 10 , , , , , 28, 29, 30 , , , , , , , , , ; in four studies (4 of 31 [13%]), clinicians prescribed any kind of pharmacologic thromboprophylaxis for ≤ 40% of the study population. , 60, 61, 62 With respect to VTE assessment, 13 studies (13 of 47 [28%]) systematically examined all patients for VTE (screening). , , , , , , , , , , , , VTE was suspected based on clinical or laboratory parameter evolution in 29 studies (29 of 47 [62%]), , , , , , , , , 29, 30, 31, 32 , 34, 35, 36, 37 , , , , , , , , , 54, 55, 56 , , and five studies combined both modalities to assess for VTE , , , , (Table 1).

Risk of Bias Results

Scores on the Newcastle-Ottawa Scale for the studies ranged from 4 to 9 (maximum, 9), with a higher score indicating a lower risk of bias. Twenty-eight studies (57%) scored 8 or above and were considered to be at low risk of bias. , , , , , , 28, 29, 30, 31, 32, 33 , , 40, 41, 42, 43 , , 48, 49, 50, 51, 52, 53 , , , , A full assessment is presented in e-Table 3.

Meta-analysis of the Incidence of VTE

Table 2 presents the results of overall and subgroup meta-analyses. Estimates for the population-based studies ranged from 0% to 85.4% (Fig 2 ), and the random effects overall pooled-estimated incidence of VTE was 17.0% (95% CI, 13.4 to 20.9), with high heterogeneity (I 2 = 97%; P < .001). e-Figure 1 shows some evidence of publication bias, as indicated by visual inspections of the funnel plots and by the Egger test for small study effects for the primary outcome (bias coefficient for the main analysis, –0.003; 95% CI, –0.001 to –0.004; P = .001).
Table 2

Incidence of VTE and Bleeding Using Random Effects Meta-analysis and Subgroup Meta-analysis

VariableNo. of ArticlesNo. of ParticipantsNo. of CasesIncidence (95% CI)I2, %Subgroup Difference
Global analysis for VTE
VTE4718,0931,27317.0 (13.4-20.9)97NA
Subgroup analyses for VTE
 Type of VTE
 DVT3611,56661412.1 (8.4-16.4)97.09
 PE3213,4246497.1 (5.3-9.1)93
 Type of assessment for VTE
 Screening181,06733233.1 (21.3-46.0)94<.0001
 Clinical diagnosis3417,1229419.8 (7.4-12.6)96
 Setting
 Ward209,3504587.1 (4.8-9.8)93<.0001
 ICU313,12273127.9 (22.1-34.1)92
 Design
 Prospective1076815725.5 (16.0-36.3)89<.0001
 Retrospective3316,99498012.4 (9.4-15.9)97
 Geographical location
 North America87,9913679.5 (4.4-16.2)98.15
 Europe328,34072017.9 (13.6-22.7)96
 Rest of world71,76214923.7 (6.2-47.9)99
 Intensity of thromboprophylaxis
 None43829421.0 (2.8-48.9)97.97
 Standard dose197,00862218.2 (12.6-24.5)97
 Intermediate or therapeutic dose81,54920419.4 (10.5-30.2)95
 After exclusion of patients with CAT/IDDVT (for DVT) and ISSPE (for PE)
 DVT3611,5664376.2 (4.1-8.7)95.02
 PE3413,6205945.5 (4.0-7.1)91
Global analysis for bleeding
 Bleeding51,4111487.8 (2.6-15.3)95NA
 Major bleeding51,411753.9 (1.2-7.9)90NA
Subgroup analysis for bleeding
 Setting
 Ward3703465.6 (1.9-10.9).48
 ICU3309164.4 (1.1-9.3)
 Design
 Prospective115042.7 (0.7-6.7)...<.001
 Retrospective41,2611449.4 (3.2-18.3)95
 Intensity of thromboprophylaxis
 None113864.4 (1.6-9.2)...<.001
 Standard dose3790384.7 (3.1-6.6)
 Intermediate or therapeutic dose248310421.4 (17.9-25.2)

CAT = catheter-associated thrombosis; IDDVT = isolated distal DVT; ISSPE = isolated subsegmental pulmonary embolism; NA = not available; PE = pulmonary embolism.

Figure 2

Forest plot showing the incidence of VTE among hospitalized patients with COVID-19. aShortest assessment period. COVID-19 = coronavirus disease 2019; IV = Inverse-Variance.

Incidence of VTE and Bleeding Using Random Effects Meta-analysis and Subgroup Meta-analysis CAT = catheter-associated thrombosis; IDDVT = isolated distal DVT; ISSPE = isolated subsegmental pulmonary embolism; NA = not available; PE = pulmonary embolism. Forest plot showing the incidence of VTE among hospitalized patients with COVID-19. aShortest assessment period. COVID-19 = coronavirus disease 2019; IV = Inverse-Variance.

Meta-analysis of the Incidence of Bleeding

Table 2 presents the results of overall and subgroup meta-analyses. Estimates for the population-based studies ranged from 2.7% to 21.6% (Fig 3 ), and the random effects overall pooled-estimated incidence of bleeding was 7.8% (95% CI, 2.6 to 15.3), with high heterogeneity (I 2 = 95%; P < .001). No publication bias was found based on the funnel plot, Egger test (bias coefficient for the main analysis, –2.83; 95% CI, –11.88 to 6.22; P = .39), or Begg test (P = 1.0) (e-Fig 1).
Figure 3

Forest plot showing the incidence of bleeding among hospitalized patients with COVID-19. COVID-19 = coronavirus disease 2019; IV = Inverse-Variance.

Forest plot showing the incidence of bleeding among hospitalized patients with COVID-19. COVID-19 = coronavirus disease 2019; IV = Inverse-Variance.

Subgroup Analyses

Incidence of VTE

Separate meta-analyses were performed according to the type of VTE (ie, DVT vs PE) (e-Fig 2, Table 2). The graph shows that the incidence of DVT (36 studies; n = 11,566) was 12.1%, whereas the incidence of PE (32 studies; n = 13,424) was 7.1%. A setting difference in the incidence of VTE was observed between the studies identified in the systematic review. Forty-one studies separately reported the number of ward and ICU patients with and without VTE. The pooled incidence of VTE was 7.1% for patients admitted to the ward and 27.9% for those admitted to the ICU (e-Table 3). When the studies were categorized according to different diagnostic methods of VTE (ie, screening vs clinical diagnosis), significantly different pooled proportions of VTE were found among different subgroups (e-Fig 2, Table 2). Eighteen of the studies diagnosing VTE were based on screening (n = 1,067), and the combined incidence estimate of VTE was 33.1%. Thirty-four studies were based on clinical diagnosis (n = 17,122), and the incidence estimate of VTE was 9.8%. When the studies were categorized according to different intensity of thromboprophylaxis (no pharmacologic thromboprophylaxis vs standard-dose thromboprophylaxis vs intermediate-dose thromboprophylaxis or therapeutic anticoagulation), similar pooled proportions of VTE were found among different subgroups (e-Fig 2, Table 2). In four studies, < 40% of the patients received pharmacologic prophylaxis (n = 382), and the combined incidence estimate of VTE was 21.0%. In 19 studies, > 70% of the patients received standard dose prophylaxis (n = 7,008), and the combined incidence estimate of VTE was 18.2%. For the eight studies in which patients received intermediate-dose thromboprophylaxis or therapeutic anticoagulation (n = 1,549), , , , , , , , the combined incidence estimate of VTE was 19.4%. Most of the studies were from Europe (n = 8,340), only eight were from North America (n = 8,014), and seven were from Asia (n = 1,739). The incidence of VTE was 17.9% in Europe, 9.5% in North America, and 23.7% in Asia (e-Fig 2, Table 2). e-Table 4 presents the subgroup meta-analyses according to geographical area. After excluding patients with a diagnosis of CAT/IDDVT, the combined incidence estimate of DVT was 6.2%. The pooled incidence of PE was 5.5% when patients with ISSPEs were excluded from the analyses.

Incidence of Bleeding

The pooled incidence of major bleeding was 3.9%. The highest pooled incidence estimate of any bleeding was reported for patients receiving intermediate- or full-dose anticoagulation (21.4%) and the lowest was in the only prospective study that assessed bleeding events (2.7%) (Table 2). e-Figure 2 presents the forest plot of the incidence of bleeding across subgroups of patients.

Sensitivity Analyses

When we analyzed outcomes from the longest available follow-up points in studies reporting outcomes at multiple time points, the pooled incidence of VTE was 18.0%. We reconsidered our findings using an inverse variance fixed effects meta-analysis (e-Fig 3). The combined incidence estimate of VTE was 4.7%, and the incidence of bleeding was 9.4%.

Discussion

This comprehensive systematic review and meta-analysis from several countries and hospital systems showed that the overall incidence rate of VTE among hospitalized patients with COVID-19 was 17.3%, with roughly two-thirds of the events being DVTs. The results were sensitive to type of assessment for VTE, type of VTE, setting of hospitalization, and nature of data collection, with higher rates with routine screening, inclusion of CAT/IDDVT and ISSPE, in critically ill patients, and in prospective studies. In turn, bleeding events were observed in 7.8% of patients and were sensitive to use of escalated doses of anticoagulants and nature of data collection. Event rates both for VTE and for bleeding are clinically relevant and deserve urgent attention for assessment of the clinical significance and strategies to improve outcomes. Because of concerns related to thrombotic events, multiple individual studies had reported the rates of VTE in patients with COVID-19. The main strength of this study is that it provided an aggregate estimate. We are cautious not to be overly certain in the precise quantitative estimates of effects, although the qualitative effect and direction are probably of high certainty. Some of the variations across the studies, as shown in our pooled estimates, might be explained by the differences in end point definition, testing strategies, and patients’ baseline risk. Studies that used broader end point definitions (such as inclusion of ISSPEs and CAT/IDDVTs) typically reported higher event rates. Systematic screening is also known to increase the diagnostic yield for detecting VTE. Similarly, ICU stay has previously been shown to be a marker of high risk for VTE. The lower rates of VTE in retrospective studies, many of which were from the United States, may be indicative of undertesting early in the course of the pandemic when the shortage in personal protective equipment and fluidity of policies in health systems may have precluded appropriate testing in some patients. A critical unresolved question is whether all these VTE events, if any, correlate with mortality. Analyses from large observational studies will be informative in this regard. It should be specifically determined if events such as ISSPE, which in many cases may reflect immunothrombosis, or IDDVT, carry prognostic significance. This is particularly important considering that the bleeding events are not rare in patients with COVID-19 and will likely increase as a result of intensified antithrombotic therapy. From a practical perspective, it is important to identify optimal strategies to avoid deterioration and thrombotic events across the spectrum of patients with COVID-19, including outpatients, inpatients in medical wards, and critically ill patients. In this context, results from several ongoing randomized trials will be informative. These studies can indicate whether more intense antithrombotic therapy can reduce the rates of VTE but also mortality, which may be driven by VTE as well as microangiopathic thrombotic events and arterial thrombosis. Studies included in this systematic review found a large proportion of patients with COVID-19 who had isolated distal DVT, catheter-associated thrombosis, and subsegmental PE, supporting the notion that the severe inflammatory response and thromboinflammation may have contributed to such events. Although our meta-analysis was not designed to assess treatment efficacy, future studies should determine if immunomodulatory therapies may confer benefit to reduce both the rates of thrombotic events and mortality. In this context, reporting of the thrombotic event rates from the trials testing immunomodulatory therapies, including Randomized Evaluation of COVID-19 Therapy (RECOVERY), Intermediate vs Standard-dose Prophylactic Anticoagulation in Critically-ill Patients With COVID-19: An Open Label Randomized Controlled Trial (INSPIRATION-statin), and others, is highly awaited. Although the main purpose of the current study was to report on the epidemiology, rather than comparative effectiveness, of health interventions, no association was found between the intensity of thromboprophylaxis and the rate of thrombotic events; however, the rate of clinically relevant bleeding complications among patients who received intermediate- or full-dose anticoagulation exceeded that recorded among those treated with preventive doses. Therefore, results from the ongoing randomized clinical trials are necessary to determine the optimal dose and course of thromboprophylaxis in patients with COVID-19. , This study has several limitations. First, in the absence of individual patient data, we were unable to perform a detailed assessment of subgroups or to conduct time-to-event analyses. Second, missing or unreported data in individual studies limited the inferences from aggregate estimates for some of the outcomes. In addition, lack of independent adjudication might have introduced significant biases into this meta-analysis’s estimates of the incidence of VTE and bleeding among hospitalized patients with COVID-19. Third, this study did not assess arterial thrombotic events. The existing literature indicates that the majority of thrombotic events in patients with COVID-19 are in the venous circulation. Fourth, the risk of bias tool that we assessed may not have captured all the potential, methodologic limitations of the included studies. It should be noted that prospective, preferentially multicenter and international studies with prospective data collection and similar criteria for outcome assessment will be preferred to provide balanced estimates for disease incidence. Fifth, we were unable to explore the extent of association between incident thrombotic or hemorrhagic events and all-cause mortality. Finally, the high statistical heterogeneity in our study suggests that differences in prevalence estimates across the included studies were determined by factors such as differences in baseline characteristics and baseline risk of VTE, frequency and type of imaging modalities to assess for VTE, setting of hospitalization and acuity of illness, and thromboprophylactic regimens such as type, dose, and duration of antithrombotic therapy. The large difference in results between the random effects and the fixed effects models provides a useful description of the importance of heterogeneity in the individual estimates of included studies; it is for this reason that we had pre-specified to use random effects models for the primary analyses. In addition, small studies might have accounted for this difference, and we encourage an updated analysis of incidence rates once several other large-scale studies become available.

Interpretation

In this systematic review and meta-analysis, nearly one in six hospitalized patients with COVID-19 had incident VTE, although the results were sensitive to hospitalization setting, mode of VTE diagnosis, and outcome definitions across studies; the rates of major bleeding were much lower but sensitive to use of escalated doses of anticoagulant agents. Additional studies are required to understand the utility of more potent antithrombotic or immunomodulatory therapies to safely mitigate the risk of thrombotic events, and mortality.
  66 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Thromboinflammation and the hypercoagulability of COVID-19.

Authors:  Jean M Connors; Jerrold H Levy
Journal:  J Thromb Haemost       Date:  2020-05-26       Impact factor: 5.824

3.  Acute Pulmonary Embolism Associated with COVID-19 Pneumonia Detected with Pulmonary CT Angiography.

Authors:  Franck Grillet; Julien Behr; Paul Calame; Sébastien Aubry; Eric Delabrousse
Journal:  Radiology       Date:  2020-04-23       Impact factor: 11.105

4.  Characteristics of Acute Pulmonary Embolism in Patients With COVID-19 Associated Pneumonia From the City of Wuhan.

Authors:  Jianpu Chen; Xiang Wang; Shutong Zhang; Bin Lin; Xiaoqing Wu; Yanfang Wang; Xiaoqi Wang; Ming Yang; Jianqing Sun; Yuanliang Xie
Journal:  Clin Appl Thromb Hemost       Date:  2020 Jan-Dec       Impact factor: 2.389

5.  Rate of venous thromboembolism in a prospective all-comers cohort with COVID-19.

Authors:  Marina Rieder; Isabella Goller; Maren Jeserich; Niklas Baldus; Luisa Pollmeier; Luisa Wirth; Alexander Supady; Christoph Bode; Hans-Jörg Busch; Bonaventura Schmid; Daniel Duerschmied; Nadine Gauchel; Achim Lother
Journal:  J Thromb Thrombolysis       Date:  2020-10       Impact factor: 2.300

6.  Incidence of asymptomatic deep vein thrombosis in patients with COVID-19 pneumonia and elevated D-dimer levels.

Authors:  P Demelo-Rodríguez; E Cervilla-Muñoz; L Ordieres-Ortega; A Parra-Virto; M Toledano-Macías; N Toledo-Samaniego; A García-García; I García-Fernández-Bravo; Z Ji; J de-Miguel-Diez; L A Álvarez-Sala-Walther; J Del-Toro-Cervera; F Galeano-Valle
Journal:  Thromb Res       Date:  2020-05-13       Impact factor: 3.944

Review 7.  Pharmacological Agents Targeting Thromboinflammation in COVID-19: Review and Implications for Future Research.

Authors:  Behnood Bikdeli; Mahesh V Madhavan; Aakriti Gupta; David Jimenez; John R Burton; Caroline Der Nigoghossian; Taylor Chuich; Shayan Nabavi Nouri; Isaac Dreyfus; Elissa Driggin; Sanjum Sethi; Kartik Sehgal; Saurav Chatterjee; Walter Ageno; Mohammad Madjid; Yutao Guo; Liang V Tang; Yu Hu; Laurent Bertoletti; Jay Giri; Mary Cushman; Isabelle Quéré; Evangelos P Dimakakos; C Michael Gibson; Giuseppe Lippi; Emmanuel J Favaloro; Jawed Fareed; Alfonso J Tafur; Dominic P Francese; Jaya Batra; Anna Falanga; Kevin J Clerkin; Nir Uriel; Ajay Kirtane; Claire McLintock; Beverley J Hunt; Alex C Spyropoulos; Geoffrey D Barnes; John W Eikelboom; Ido Weinberg; Sam Schulman; Marc Carrier; Gregory Piazza; Joshua A Beckman; Martin B Leon; Gregg W Stone; Stephan Rosenkranz; Samuel Z Goldhaber; Sahil A Parikh; Manuel Monreal; Harlan M Krumholz; Stavros V Konstantinides; Jeffrey I Weitz; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2020-05-30       Impact factor: 5.249

8.  Image-proven thromboembolism in patients with severe COVID-19 in a tertiary critical care unit in the United Kingdom.

Authors:  Michael J R Desborough; Andrew J Doyle; Alexandra Griffiths; Andrew Retter; Karen A Breen; Beverley J Hunt
Journal:  Thromb Res       Date:  2020-05-29       Impact factor: 3.944

9.  Venous thromboembolism in SARS-CoV-2 patients: only a problem in ventilated ICU patients, or is there more to it?

Authors:  Maarten Criel; Maarten Falter; Jasmien Jaeken; Margaretha Van Kerrebroeck; Isabelle Lefere; Liesbeth Meylaerts; Dieter Mesotten; Margot Vander Laenen; Tom Fivez; Michiel Thomeer; David Ruttens
Journal:  Eur Respir J       Date:  2020-07-30       Impact factor: 16.671

10.  High rate of pulmonary thromboembolism in patients with SARS-CoV-2 pneumonia.

Authors:  P Minuz; G Mansueto; F Mazzaferri; C Fava; A Dalbeni; M C Ambrosetti; M Sibani; E Tacconelli
Journal:  Clin Microbiol Infect       Date:  2020-06-18       Impact factor: 13.310

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  110 in total

1.  A randomized double-blind controlled trial of convalescent plasma in adults with severe COVID-19.

Authors:  Max R O'Donnell; Beatriz Grinsztejn; Matthew J Cummings; Jessica E Justman; Matthew R Lamb; Christina M Eckhardt; Neena M Philip; Ying Kuen Cheung; Vinay Gupta; Esau João; Jose Henrique Pilotto; Maria Pia Diniz; Sandra Wagner Cardoso; Darryl Abrams; Kartik N Rajagopalan; Sarah E Borden; Allison Wolf; Leon Claude Sidi; Alexandre Vizzoni; Valdilea G Veloso; Zachary C Bitan; Dawn E Scotto; Benjamin J Meyer; Samuel D Jacobson; Alex Kantor; Nischay Mishra; Lokendra V Chauhan; Elizabeth F Stone; Flavia Dei Zotti; Francesca La Carpia; Krystalyn E Hudson; Stephen A Ferrara; Joseph Schwartz; Brie A Stotler; Wen-Hsuan W Lin; Sandeep N Wontakal; Beth Shaz; Thomas Briese; Eldad A Hod; Steven L Spitalnik; Andrew Eisenberger; Walter I Lipkin
Journal:  J Clin Invest       Date:  2021-07-01       Impact factor: 14.808

2.  [Translated article] Pulmonary Vascular Tone Dysregulation and Microthrombosis in COVID-19.

Authors:  María Noelia Alonso; José Javier Jareño Esteban; Natalia García-León
Journal:  Arch Bronconeumol       Date:  2022-02-18       Impact factor: 4.872

Review 3.  COVID-19 and thrombosis: searching for evidence.

Authors:  Bright Thilagar; Mohamad Beidoun; Ruben Rhoades; Scott Kaatz
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 4.  Practical Recommendations for the Management of Patients with ITP During the COVID-19 Pandemic.

Authors:  Francesco Rodeghiero; Silvia Cantoni; Giuseppe Carli; Monica Carpenedo; Valentina Carrai; Federico Chiurazzi; Valerio De Stefano; Cristina Santoro; Sergio Siragusa; Francesco Zaja; Nicola Vianelli
Journal:  Mediterr J Hematol Infect Dis       Date:  2021-05-01       Impact factor: 2.576

5.  The characteristics and outcomes of critically Ill patients with COVID-19 who received systemic thrombolysis for presumed pulmonary embolism: an observational study.

Authors:  Matsuo So; David J Steiger; Mai Takahashi; Natalia N Egorova; Toshiki Kuno
Journal:  J Thromb Thrombolysis       Date:  2021-05-08       Impact factor: 2.300

Review 6.  Contemporary Catheter-Based Treatment Options for Management of Acute Pulmonary Embolism.

Authors:  Maninder Singh; Irfan Shafi; Parth Rali; Joseph Panaro; Vladimir Lakhter; Riyaz Bashir
Journal:  Curr Treat Options Cardiovasc Med       Date:  2021-05-12

7.  Prior use of anticoagulation is associated with a better survival in COVID-19.

Authors:  A G Buenen; Marijn Sinkeldam; Martje L Maas; Martha Verdonschot; Peter C Wever
Journal:  J Thromb Thrombolysis       Date:  2021-06-01       Impact factor: 2.300

8.  Therapeutic versus prophylactic anticoagulation for patients admitted to hospital with COVID-19 and elevated D-dimer concentration (ACTION): an open-label, multicentre, randomised, controlled trial.

Authors:  Renato D Lopes; Pedro Gabriel Melo de Barros E Silva; Remo H M Furtado; Ariane Vieira Scarlatelli Macedo; Bruna Bronhara; Lucas Petri Damiani; Lilian Mazza Barbosa; Júlia de Aveiro Morata; Eduardo Ramacciotti; Priscilla de Aquino Martins; Aryadne Lyrio de Oliveira; Vinicius Santana Nunes; Luiz Eduardo Fonteles Ritt; Ana Thereza Rocha; Lucas Tramujas; Sueli V Santos; Dario Rafael Abregu Diaz; Lorena Souza Viana; Lívia Maria Garcia Melro; Mariana Silveira de Alcântara Chaud; Estêvão Lanna Figueiredo; Fernando Carvalho Neuenschwander; Marianna Deway Andrade Dracoulakis; Rodolfo Godinho Souza Dourado Lima; Vicente Cés de Souza Dantas; Anne Cristine Silva Fernandes; Otávio Celso Eluf Gebara; Mauro Esteves Hernandes; Diego Aparecido Rios Queiroz; Viviane C Veiga; Manoel Fernandes Canesin; Leonardo Meira de Faria; Gilson Soares Feitosa-Filho; Marcelo Basso Gazzana; Idelzuíta Leandro Liporace; Aline de Oliveira Twardowsky; Lilia Nigro Maia; Flávia Ribeiro Machado; Alexandre de Matos Soeiro; Germano Emílio Conceição-Souza; Luciana Armaganijan; Patrícia O Guimarães; Regis G Rosa; Luciano C P Azevedo; John H Alexander; Alvaro Avezum; Alexandre B Cavalcanti; Otavio Berwanger
Journal:  Lancet       Date:  2021-06-04       Impact factor: 79.321

9.  The Relationship between Inflammatory Cytokines and Coagulopathy in Patients with COVID-19.

Authors:  Fariba Rad; Ali Dabbagh; Akbar Dorgalaleh; Arijit Biswas
Journal:  J Clin Med       Date:  2021-05-09       Impact factor: 4.241

Review 10.  Incidence of thrombotic complications in COVID-19 : On behalf of ICODE: The International COVID-19 Thrombosis Biomarkers Colloquium.

Authors:  William J Jenner; Diana A Gorog
Journal:  J Thromb Thrombolysis       Date:  2021-05-28       Impact factor: 2.300

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