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Figure 1.  Cumulative Incidence Curves of Venous Thromboembolism Within 30 Days Overall and in Subgroups by Vaccination Status
Cumulative Incidence Curves of Venous Thromboembolism Within 30 Days Overall and in Subgroups by Vaccination Status
Figure 2.  Hazard Ratio of Clinical Risk Factors for Venous Thromboembolism (VTE) Among Patients With COVID-19
Hazard Ratio of Clinical Risk Factors for Venous Thromboembolism (VTE) Among Patients With COVID-19

Covariates included in the single multivariable Cox regression model were age, sex, race and ethnicity, socioeconomic status, obesity, vaccination status, cancer, fall, fracture, and number of comorbidities. The estimate of hazard ratios for other VTE was calculated among the uninfected group, which was predefined as a negative control outcome analysis. BMI indicates body mass index (calculated as weight in kilograms divided by height in meters squared); IMD, index of multiple deprivation.

Table 1.  Baseline Characteristics of Participants Stratified by the SARS-CoV-2 Infection Status Before and After Matchinga
Baseline Characteristics of Participants Stratified by the SARS-CoV-2 Infection Status Before and After Matchinga
Table 2.  Associations Between Ambulatory COVID-19 and Venous Thromboembolism Overall and in Subgroups by Vaccination Status
Associations Between Ambulatory COVID-19 and Venous Thromboembolism Overall and in Subgroups by Vaccination Status
Table 3.  Association of Inherited Thrombophilia With Venous and Arterial Thromboembolism Among Patients With COVID-19a
Association of Inherited Thrombophilia With Venous and Arterial Thromboembolism Among Patients With COVID-19a
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1 Comment for this article
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Factors that may confound the study results
Robert Johnston | Retired
Xie et al's study is difficult to interpret without additional data. Figure 2 shows the Hazard Ratio to be 5.5 for not vaccinated or partially vaccinated compared to fully vaccinated. As shown in the footnote, 92.2% of people were not vaccinated and 7.8% were partially vaccinated in the “not or partially vaccinated” subgroup.  
Combining these two groups obscures the effect of vaccination vs. nonvaccination. This is especially a concern for a study conducted in the UK where many of the vaccinations were with the Astra-Zeneca vaccine, which was banned in some countries for its thrombotic
potential, though all vaccines had some thrombotic events associated with them (“Large Study Confirms Clot Risks With Oxford/AstraZeneca COVID-19 Vaccine”; tctmd.com).

Another confounding factor is introduced by the lack of analysis of the distribution of VTEs by variant type. eFigure 2 shows that aside from a minor initial wave in Spring 2020, there were two major waves of COVID-19 infection in the UK. One began about Sept. 2020 and ended about the end of March 2021, accounting for about 60% of infected cases in the study. The second began in June 2021 and continued through the end of the study period, accounting for about 40% of infected cases. According to the UK’s ONS, (“Coronavirus (COVID-19) latest insights: Infections,” Aug. 12, 2022): “We define the Alpha variant period as prior to 17 May 2021, the Delta variant period as 17 May to 19 December 2021...” UK vaccination did not begin until mid-January, 2021. People did not begin to receive the second dose until March, so that by March 30, 2021, only 6.1% of the population was fully vaccinated. Thus, essentially all of the population exposed to the Alpha wave was unvaccinated or partially vaccinated, while the Delta wave hit an increasingly fully vaccinated population.

From Our World in Data, by the time the Delta wave came, approximately 40% of the population was fully vaccinated, increasing to approximately 70% by the end of the study period. Among high risk groups of adults, the percentage was higher. Thus, if there is a difference in susceptibility to VTE from Alpha vs. Delta strains, this would confound interpretation of the vaccination dependence of VTEs.

Hu et al. (“Differences in Clinical Characteristics Between Delta Variant and Wild-Type SARS-CoV-2 Infected Patients,” Front. Med., 03 January 2022) compared the clinical characteristics of Delta vs. wild-type SARS-CoV-2 infected patients. They reported nearly twice the D-dimer level in wild-type vs. Delta unvaccinated patients, and a mortality of 60 vs. 0, respectively. Overall, “For coagulation factors, increased prothrombin time (PT), international normalized ratio (INR), and D-dimer levels were significantly improved in delta variant infection when compared to wild-type COVID-19 infection, whereas prolonged thrombin time and decreased fibrinogen level were worsened.” These findings suggest that differences in variant exposure for vaccinated vs. unvaccinated people in the UK study group might have affected VTE outcomes.

I
CONFLICT OF INTEREST: None Reported
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Original Investigation
August 18, 2022

Clinical and Genetic Risk Factors for Acute Incident Venous Thromboembolism in Ambulatory Patients With COVID-19

Author Affiliations
  • 1Centre for Statistics in Medicine and National Institute for Health and Care Research Biomedical Research Centre Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England
  • 2Nuffield Department of Population Health, University of Oxford, Oxford, England
  • 3Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, England
  • 4Department of Clinical Pharmacology and Therapeutics, Institute for Infection and Immunity, St George's, University of London, London, England
  • 5Genetics Department, Novo Nordisk Research Centre Oxford, Old Road Campus, Oxford, England
  • 6Infectious Diseases Department and irsiCaixa AIDS Research Institute, Hospital Universitari Germans Trias i Pujol, Catalonia, Spain
JAMA Intern Med. 2022;182(10):1063-1070. doi:10.1001/jamainternmed.2022.3858
Key Points

Question  What is the 30-day acute risk of venous thromboembolism (VTE) among ambulatory patients with COVID-19, and what are the clinical and genetic risk factors predisposing them to developing post–COVID-19 VTE?

Findings  In this retrospective cohort study of 18 818 outpatients with COVID-19 and 93 179 propensity score–matched noninfected participants, a higher VTE incidence was observed in the former (hazard ratio, 21.42); however, this risk was considerably attenuated among the fully vaccinated, after breakthrough infection. Older age, male sex, obesity, no vaccination or partial vaccination, and inherited thrombophilia were independent risk factors for COVID-19–associated VTE.

Meaning  The results of this study suggest that ambulatory patients with COVID-19, either vaccinated or not, present a clinically relevant increased risk of incident VTE during the acute phase, with the risk pronounced by factors of older age, male sex, obesity, incomplete vaccination, and factor V Leiden thrombophilia.

Abstract

Importance  The risk of venous thromboembolism (VTE) in ambulatory COVID-19 is controversial. In addition, the association of vaccination with COVID-19–related VTE and relevant clinical and genetic risk factors remain to be elucidated.

Objective  To quantify the association between ambulatory COVID-19 and short-term risk of VTE, study the potential protective role of vaccination, and investigate clinical and genetic risk factors for post–COVID-19 VTE.

Design, Setting, and Participants  This population-based cohort study of patients with COVID-19 from UK Biobank included participants with SARS-CoV-2 infection that was confirmed by a positive polymerase chain test reaction result between March 1, 2020, and September 3, 2021, who were then propensity score matched to COVID-19–naive people during the same period. Participants with a history of VTE who used antithrombotic drugs (1 year before index dates) or tested positive in hospital were excluded.

Exposures  First infection with SARS-CoV-2, age, sex, ethnicity, socioeconomic status, obesity, vaccination status, and inherited thrombophilia.

Main Outcomes and Measures  The primary outcome was a composite VTE, including deep vein thrombosis or pulmonary embolism, which occurred 30 days after the infection. Hazard ratios (HRs) with 95% CIs were calculated using cause-specific Cox models.

Results  In 18 818 outpatients with COVID-19 (10 580 women [56.2%]; mean [SD] age, 64.3 [8.0] years) and 93 179 matched uninfected participants (52 177 women [56.0%]; mean [SD] age, 64.3 [7.9] years), the infection was associated with an increased risk of VTE in 30 days (incidence rate of 50.99 and 2.37 per 1000 person-years for infected and uninfected people, respectively; HR, 21.42; 95% CI, 12.63-36.31). However, risk was substantially attenuated among the fully vaccinated (HR, 5.95; 95% CI, 1.82-19.5; interaction P = .02). In patients with COVID-19, older age, male sex, and obesity were independently associated with higher risk, with adjusted HRs of 1.87 (95% CI, 1.50-2.33) per 10 years, 1.69 (95% CI, 1.30-2.19), and 1.83 (95% CI, 1.28-2.61), respectively. Further, inherited thrombophilia was associated with an HR of 2.05 (95% CI, 1.15-3.66) for post–COVID-19 VTE.

Conclusions and Relevance  In this population-based cohort study of patients with COVID-19, ambulatory COVID-19 was associated with a substantially increased risk of incident VTE, but this risk was greatly reduced in fully vaccinated people with breakthrough infection. Older age, male sex, and obesity were clinical risk factors for post–COVID-19 VTE; factor V Leiden thrombophilia was additionally associated with double the risk, comparable with the risk of 10-year aging. These findings may reinforce the need for vaccination, inform VTE risk stratification, and call for targeted VTE prophylaxis strategies for unvaccinated outpatients with COVID-19.

Introduction

Numerous hospital-based studies and case series have demonstrated a high risk of venous thromboembolism (VTE) in patients with severe COVID-19. A recent meta-analysis reported a pooled VTE rate of 14.7% and 23.2% among those admitted to the hospital and intensive care units, respectively.1 Additionally, emerging randomized clinical trials2-4 have shown the benefit-risk of anticoagulation for patients with COVID-19 at different stages of the disease, and clinical societies have recommended initiating routine antithrombotic therapy during hospital admission.5

In contrast, fewer clinical interventions have been implemented to prevent VTE among ambulatory patients with SARS-CoV-2 infection, partially because of conflicting findings on the association between the infection and VTE occurrence, with cohort studies showing no elevated risk6 but self-controlled case series studies consistently showing a substantial increase of short-term risk.7-9 Also, mixed evidence of benefit from oral anticoagulation complicated clinical decisions for ambulatory COVID-19.10 Given the ongoing global rollout of vaccines, relaxation of public health restrictions, and the widespread highly transmissible Omicron variant, the absolute number of milder COVID-19 cases treated in ambulatory settings continues to rise worldwide.11,12 These collectively suggest that prophylaxis, including timing and dosing regimens, requires further refinement, particularly in the outpatient setting.2-4,13,14 Moreover,15 a lack of insight into the association of clinical, socioeconomic, and genetic risk factors with infection-related VTE persists. This study aimed to (1) quantify the magnitude of short-term VTE risk associated with SARS-CoV-2 infection identified in ambulatory settings and (2) investigate the clinical and genetic risk factors for VTE after SARS-CoV-2 infection.

Methods

We included UK Biobank (UKBB) participants from England who were alive on March 1, 2020. All participants provided written informed consent at the UKBB cohort recruitment. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines and received ethical approval from the UKBB ethics advisory committee.

Data Sources and Study Cohorts

We obtained data from UK Biobank comprising multiple linked sources, including baseline surveys conducted between 2006 and 2010, individual genetic data, primary care electronic medical records, hospital inpatient data from Hospital Episode Statistics, diagnostic COVID-19 test data from the Public Health England's Second Generation Surveillance System,16 and death records from the national death registry (Office of National Statistics).

We curated an infected cohort by enrolling individuals with positive polymerase chain reaction SARS-CoV-2 test results that were confirmed between March 1, 2020, and September 30, 2021. Participants who were never tested or only had negative test results were classified into the noninfected cohort. The index date was the date of the first positive specimen sample for the infected cohort. A random date that followed the same calendar period distribution of the index date as the infected individuals was assigned to the noninfected individuals. Participants with a history of VTE or who used oral anticoagulants and antiplatelet drugs 1 year before the index dates were excluded. Additionally, we excluded those in the infected cohort who were already hospitalized at the time of testing positive for COVID-19. Any information after the index date was not used for the cohort exclusion (eFigure 1 in the Supplement).

Inherited Thrombophilia

Information on genotyping and imputation procedures in UK Biobank has been detailed in previous studies.17 Briefly, genome-wide single-nucleotide polymorphisms (SNPs) were genotyped using 2 closely related purpose-designed arrays (the UK BiLEVE Axiom array and UK Biobank Axiom array). We defined inherited thrombophilia carriers as having any of 2 risk SNP variants in factor V Leiden (rs6025) or prothrombin G20210A (rs1799963). We also defined a positive genetic control exposure by calculating a 297-SNPs polygenic risk score (PRS) for VTE that did not include these 2 variants18 (eMethods in the Supplement).

Covariates

We prespecified a list of covariates for adjustment based on clinicians’ knowledge, including demographic characteristics (age, sex, self-reported race and ethnicity grouped into other racial and ethnic categories that included Asian or Asian British, Black or Black British, Chinese, and unspecific/unknown ethnicity or White, given that approximately 90% of the UKBB participants were White), socioeconomic status measured by the Index of Multiple Deprivation (a continuous summary deprivation measurement used in England containing 7 aspects in crime, education, employment, health, housing, income, and living environment),19 body mass index (BMI), medications for chronic illness prescribed within 1 year before the index date, and trauma-related diagnosis and all comorbidities included in the Charlson Comorbidity Index (Table 1).20 The orthopedic surge, number of hospital admissions during the past year (proxy of health care utilization), and vaccination status (not or partially vaccinated vs fully vaccinated) were also studied.

Outcomes

Incident VTE, comprising either deep vein thrombosis or pulmonary embolism, was identified using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes based on hospital records. Eligible participants were followed up for up to 30 days after the index date, given that VTE occurring after 30 days was much less likely to be associated with SARS-CoV-2 infection.

Statistical Analyses

We used propensity score (PS) matching to minimize confounding in studying the association between SARS-CoV-2 infection and VTE. We fitted multivariable logistic regression models to estimate PS as the probability of infection based on all predefined covariates. We then matched infected with noninfected individuals with a ratio of 1:5 based on PS values, with a caliper width of up to 0.2 standard deviations of the logit of the PS, with exact matching on index dates.21,22 We assessed the covariate balance between the cohorts before and after matching using absolute standardized mean differences (SMDs) and specified an SMD greater than 0.1 as relevant imbalances.23 Cause-specific Cox survival models were applied to estimate the hazard ratio (HR) for VTE according to exposure, for which death was considered a competing risk.24 The overall HR and that in subgroups by prior vaccination status were provided. The multiplicative interaction effect between the infection and vaccination status was tested statistically on the probability scale.

To study clinical risk factors, we fitted multivariable Cox models of 30-day VTE in the ambulatory COVID-19 cohort, including age, sex, race and ethnicity, socioeconomic status, obesity (BMI less than vs equal or more than 30), vaccination status, cancer, fall, fracture, and the number of comorbidities. For the analysis of the association of inherited thrombophilia with post–COVID-19 VTE, we adjusted Cox models for age, sex, and genetic ancestry (quantified by the first 3 principal components), assuming that genetic variants were independent of all other baseline characteristics.

We performed a sensitivity analysis repeating the modeling of clinical risk factors with VTE in the uninfected cohort, in which no association was expected between vaccination and COVID-19–unrelated VTE. We also introduced a positive exposure control (PRS for VTE) and a negative outcome (arterial thromboembolism) experiment to detect residual confounding and potential unresolved bias for the exposure of inherited thrombophilia.25

All statistical tests were 2-sided, for which a P = .05 or a 95% CI that did not cross 1 were considered statistically significant for the primary analyses. All analyses and data visualizations were conducted using R, version 4.1.2 (R Foundation). Genetic data management and quality controls were performed using Plink 1.9.26

Results
Baseline Characteristics

Out of 407 311 UKBB participants, 26 210 (6.4%) had SARS-CoV-2 infection between March 1, 2020, and September 30, 2021. After applying exclusion criteria, 21 724 of 26 210 (83.0%) infected and 317 943 of 380 398 (83.5%) noninfected individuals were eligible for analyses (eFigure 1 in the Supplement). For all infections, 2877 (13.2%) and 18 847 (86.8%) were tested in hospital and outpatient settings, respectively. Only the latter were included for subsequent analyses.

Baseline characteristics by infection status and incident VTE outcome are summarized in Table 1 and eTable 1 in the Supplement. Before matching, ambulatory participants with COVID-19 were younger than those without infection (mean [SD] age, 64.32 [8.03] vs 67.96 [8.03]), more likely male (8247 [43.8%] vs 132 046 [41.5%]), of a racial and ethnic minority group (2257 [12.0%] vs 20 348 [6.4%]), experienced greater socioeconomic deprivation, and had obesity. After 1:5 PS matching, 18 818 patients with COVID-19 were matched to 93 179 uninfected counterparts (98.6% of COVID-19 with 5 matches). All covariates became balanced (eg, mean [SD] age of 64.31 [7.92] years and 44.0% male in the COVID-19 group vs mean [SD] age of 64.33 [8.03] years and 43.8% male in controls). In addition, index dates and calendar periods were accurately aligned between the cohorts, as depicted in eFigure 2 in the Supplement.

Association of SARS-CoV-2 Infection With Incident VTE

Figure 1 depicts the cumulative incidence of VTE according to infection status, showing an early separation of the matched cohorts, with continued divergence over time. A total of 73 and 17 VTE events were seen within 30 days among the ambulatory patients with COVID-19 and matched uninfected individuals, which corresponded to incidence rates of 50.99 and 2.37 per 1000 person-years, respectively. Survival analyses (Table 2) suggested that the infection was associated with a substantial increase in VTE risk (HR, 21.42; 95% CI, 12.63-36.31). The observed risk was more pronounced in the unvaccinated patients (HR, 27.94; 95% CI, 15.11-51.65) and significantly mitigated in those fully vaccinated (HR, 5.95; 95% CI, 1.82-19.51; interaction P = .02).

Clinical Determinants of Post–COVID-19 VTE

The associations between sociodemographic and clinical factors (including vaccination status) and the risk of post–COVID-19 VTE are shown in Figure 2. Older participants had a higher risk, with an approximate doubling of risk per each 10-year increase in age (adjusted HR, 1.87; 95% CI, 1.50-2.33). Men were at higher risk than women (adjusted HR, 1.69; 95% CI, 1.30-2.19), and people with obesity at a higher risk than non-obese (adjusted HR, 1.83; 95% CI, 1.28-2.61). These associations were similarly seen for COVID-19–unrelated VTE in direction and magnitude (eTable 2 in the Supplement).

Additionally, no or partial vaccination was associated with evident higher risk of COVID-19–related VTE (adjusted HR, 5.50; 95% CI, 3.00-10.08). A sensitivity analysis demonstrated no association between vaccination status and COVID-19–unrelated VTE among the uninfected participants, with an HR equal to 1.07 (95% CI, 0.80-1.42) (Figure 2; eTable 2 in the Supplement).

Inherited Thrombophilia and Post–COVID-19 VTE

Among 21 055 infected participants with complete genetic data, 1287 (6.11%) had inherited thrombophilia, with 909 (4.32%) and 392 (1.86%) carrying risk variant/s of factor V Leiden and prothrombin G20210A, respectively (Table 3). The frequency of these genetic variations in the infected cohort was like that in the overall UKBB cohort and consistent with reports from previous literature (eTable 3 in the Supplement). No differences in any of the measured covariates (except for race and ethnicity), including sociodemographic characteristics, medications, or comorbidities, were observed when comparing those with vs without inherited thrombophilia (eTable 4 in the Supplement).

Participants with inherited thrombophilia had a higher risk of VTE following SARS-CoV-2 infection than those without (adjusted HR, 2.05; 95% CI, 1.15-3.66). For each risk variant, the adjusted HR was 2.17 (95% CI, 1.13-4.15) for factor V Leiden carriers and 1.52 (95% CI, 0.48-4.79) for prothrombin G20210A carriers. Also, individuals with higher PRS values had greater VTE risk (adjusted HR per 1-SD increase of PRS, 1.33; 95% CI, 1.11-1.59) (Table 3). As expected, no associations were observed between inherited thrombophilia and the negative control outcome of arterial thromboembolism, with adjusted HRs ranging from 0.91 (95% CI, 0.29-2.84) to 0.99 (95% CI, 0.49-2.01).

Discussion

In this community-based cohort study of UKBB participants, including 26 210 with polymerase chain reaction–confirmed ambulatory COVID-19 cases and 380 398 matched contemporary noninfected controls, we found that SARS-CoV-2 infection was associated with an increased VTE risk within 30 days of a positive test (HR, 21.42). However, this risk was largely attenuated in the fully vaccinated participants who then experienced a breakthrough infection (HR, 5.95). Known clinical risk factors for VTE, including older age, male sex, and obesity, applied to post–COVID-19 VTE. Also, compared with the full vaccination, no or partial vaccination was associated with an increased risk of post–COVID-19 VTE. As expected, vaccination was not associated with VTE risk in the uninfected peers. Finally, factor V Leiden thrombophilia carriers had an additional double risk of post–COVID-19 VTE compared with noncarriers, which was equivalent to the excess risk associated with an increase of 10 years of age.

The study finding of a substantially higher incidence of VTE in ambulatory COVID-19 disagreed with a previous meta-analysis of 7 heterogeneous small COVID-19 cohorts, which had suggested that mild COVID-19 was not a risk factor for VTE, with a combined overall relative risk equal to 1.18 (95% CI, 0.79-1.77).6 However, the present study’s data align more with extensive self-controlled case series studies7-9 that better accounted for within-person confounding and consistently showed orders of magnitude increases in VTE risk after the infection (eg, more than 46-fold and 7-fold higher risk at 7-14 days for pulmonary embolism and deep vein thrombosis, respectively).7 Most recently, a large network cohort study in 5 European countries profiled that 90-day incidence of VTE ranged from 0.2% to 0.8% among any patients with COVID-19 and up to 4.5% for those hospitalized.27

Public interest and concerns have been placed predominantly on vaccine-related rare thromboembolic events,28 which have been associated with vaccine hesitancy and restrictions on their use.29 The present study found that the vaccination may offset SARS-CoV-2–induced VTE risk even if people get a breakthrough infection. This evident benefit should not be ignored in the ongoing global vaccination campaigns.

To our knowledge, for the first time, we showed that inherited thrombophilia was associated with a double risk of COVID-19–related VTE, echoing previous clinical findings of elevated factor V activity in patients with severe COVID-19.30-32 A relatively high proportion of congenital thrombophilia was detected in a small pilot study of 87 COVID-19 cases, but the minimal sample size precluded further robust inference.33

We analyzed linked data that combined extensive community SARS-CoV-2 testing, well-recorded vaccination status, ambulatory and hospital-based clinical outcomes, and large-scale genotyping data that were readily available for UKBB participants. The results of this analysis have potentially noteworthy implications. First, VTE risk management needs reevaluation for milder ambulatory COVID-19. With emerging evidence and guidelines focusing on VTE prophylaxis for hospitalized patients with COVID-19, further work is necessary to mitigate the risk in the community. The recent ACTIV-4B34 study demonstrated no benefit of use of aspirin or apixaban for VTE prevention among the general younger outpatients (median age, 54 years [IQR, 46-59]), largely because of a very low thrombotic event rate. The present study of older participants (mean age, 64 years) might inform ongoing35 or new trials that target the more elderly population, particularly those with the multiple risk factors identified in this study. Second, although the etiology of post–COVID-19 VTE is complex and multifaceted, this study’s findings elucidated the role of factor V and possibly prothrombin proteins as contributing factors. Third, although genetic testing of inherited thrombophilia for VTE prevention has been previously discussed in many clinical scenarios,36,37 this newly identified association with COVID-19–related VTE, comparable with a 10-year aging risk, supports the potential value of targeted genetic screening for thrombophilia in the infected older adults. Finally, the study data suggest the significant association of vaccination with minimizing the risk of COVID-19 VTE.

Limitations

This study also had some limitations. Residual confounding cannot be ruled out in this observational study, although robust statistical approaches for causal inference were applied, including PS matching and knowledge-driven negative control analyses. Differential outcome ascertainment might also have contributed to the elevated risk to some extent, given that SARS-CoV-2 infection since the pandemic was strongly believed to be a risk factor for VTE, and clinicians were probably more intentionally looking for VTE in patients with COVID-19 than others requiring hospital care. Although participants with COVID-19 were from nonhospital settings, they were tested likely because of the presence of typical symptoms of COVID-19. The extent to which purely asymptomatic infection is associated with VTE risk warrants further investigation. Also, the VTE in this study appeared to be clinically relevant events that trigger ICD-10 coding. However, the diagnoses themselves did not necessarily reflect VTE status and severity (eg, asymptomatic, incidental, or symptomatic, which requires bespoke screening for VTE in patients with COVID-19). This study was performed among the antithrombotic use–naive population, and before the monoclonal antibody infusion or antivirals were approved for use; whether these treatments can mitigate ambulatory COVID-19–related VTE risk remains unclear. Moreover, the estimates from our analyses were an average and mixed short-term (30-day) effect of several SARS-CoV-2 strains from the original wild type to Delta,38 which should be cautiously extrapolated to ongoing or post–short-term periods and novel variants, such as Omicron. Finally, participants recruited in UKBB were not fully representative of the general population,39,40 and the data included in this study had very few participants who identified as Asian or Asian British, Black or Black British, or Chinese, which may limit the generalizability of the findings.

Conclusions

In this population-based cohort study of patients with COVID-19, ambulatory COVID-19 was associated with a substantial increase in excess VTE. This risk was much higher among unvaccinated individuals and increased with older age, in men, and in patients with obesity. Factor V Leiden thrombophilia further doubled VTE risk, comparable with a 10-year aging risk. These findings call for targeted prevention and tailored thromboprophylaxis strategies for post–COVID-19 VTE in outpatient settings and suggest an etiological role of inherited thrombophilia.

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Article Information

Accepted for Publication: July 13, 2022.

Published Online: August 18, 2022. doi:10.1001/jamainternmed.2022.3858

Corresponding Author: Dani Prieto-Alhambra, MD, PhD, Professor, Botnar Research Centre, Windmill Road, OX37LD Oxford, England (daniel.prietoalhambra@ndorms.ox.ac.uk).

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Xie J et al. JAMA Internal Medicine.

Author Contributions: Drs Xie and Prats-Uribe had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Xie, Prats-Uribe, Wang, Gill, Prieto-Alhambra.

Acquisition, analysis, or interpretation of data: Xie, Prats-Uribe, Feng, Paredes.

Drafting of the manuscript: Xie, Paredes, Prieto-Alhambra.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Xie.

Obtained funding: Prats-Uribe.

Administrative, technical, or material support: Prieto-Alhambra.

Supervision: Gill, Paredes, Prieto-Alhambra.

Conflict of Interest Disclosures: Dr Gill reported part-time employment with Novo Nordisk outside the submitted work. Dr Prieto-Alhambra reported grants from Amgen, UCB Biopharma, Les Laboratoires Servier, Novartis, and Chiesi-Taylor as well as speaker fees and advisory board membership with AstraZeneca and Johnson and Johnson outside the submitted work in addition to research support from Janssen. No other disclosures were reported.

Funding/Support: Mr Xie is funded through Jardine-Oxford Graduate Scholarship and a titular Clarendon Fund Scholarship. Dr Gill is supported by the British Heart Foundation Research Centre of Excellence (RE/18/4/34215) at Imperial College London and by a National Institute for Health Research Clinical Lectureship (CL-2020-16-001) at St George's, University of London. Prof Prieto-Alhambra is funded through a National Institute of Health Research (NIHR) Senior Research Fellowship (grant SRF-2018-11-ST2-004), and received partial support from the Oxford NIHR Biomedical Research Centre. Dr Prats-Uribe has received funding from the Medical Research Council (MRC) [MR/K501256/1, MR/N013468/1].

Role of the Funder/Sponsor: The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Data Sharing Statement: Bonafide researchers can apply to use the UK Biobank dataset by registering and applying at https://ukbiobank.ac.uk/register-apply/. Any additional summary data generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

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