key: cord-344965-h945xi7y
authors: Wang, Ying; Shi, Li; Yang, Haiyan; Duan, Guangcai; Wang, Yadong
title: Pooled prevalence of deep vein thrombosis among coronavirus disease 2019 patients
date: 2020-07-28
journal: Crit Care
DOI: 10.1186/s13054-020-03181-1
sha: 
doc_id: 344965
cord_uid: h945xi7y

nan

To the editor,

The article by Ren et al. reported that there was an extremely high incidence (85.4%) of lower extremity deep venous thrombosis (DVT) among 48 patients with severe coronavirus disease 2019 in Wuhan, China [1] . As the global pandemic of COVID-19, there have been several studies on the incidence, risk factors, and preventive strategies of DVT [1] [2] [3] [4] . However, the incidence of DVT has been reported diversely among different clinical centers. Thus, we performed a meta-analysis to estimate the pooled prevalence of DVT in confirmed COVID-19 patients.

We searched PubMed, EMBASE, Web of Science, and medRxiv databases until June 22, 2020, for relevant studies, using the keywords ("coronavirus" or "COVID-19" or "SARS-CoV-2" or "2019-nCoV") and ("thrombosis" or "thrombi" or "thrombus"). In addition, we screened out the relevant potential articles in the references of selected studies. Articles reporting the prevalence of DVT in confirmed COVID-19 patients were included.

The pooled prevalence and its 95% confidence interval (CI) were used to estimate the combined effects. We calculated the prevalence estimates with the variance stabilizing double arcsine transformation [5, 6] . The heterogeneity among studies was assessed with the I 2 statistic and Cochran's Q test.

The meta-regression and subgroup analysis were used to investigate the potential heterogeneity sources (such as sample size, prevalence of prophylaxis in COVID-19 patients, location, design of studies, screening methods of DVT, and COVID-19 patients in intensive care unit (ICU)). We chose Egger's test and Begg's test to assess publication bias. All analyses were performed using the Stata 11.2 (StataCorp, College Station, TX), and a twotailed P value < 0.05 was considered to be statistically significant.

A total of 1202 records were initially identified by our searches. We finally included 28 articles in our meta-analysis. The basic characteristics of included studies are shown in Table 1 . There were 397 DVT cases in a total of 4138 COVID-19 patients. The pooled estimate of the prevalence for DVT was 16% by using a random-effects model (95% CI 10-23%, P < 0.01, I 2 = 96.81, Q = 846.41, P < 0.01) (Fig. 1a ). According to patients' geographic location, the much higher pooled prevalence of DVT was found in COVID-19 patients from China (30%, 95% CI 2-72%, P = 0.02, I 2 = 98.73%, Q = 313.90, P < 0.01) compared with those from western countries (13%, 95% CI 8-19%, P < 0.01, I 2 = 95.62%, Q = 502.07, P < 0.01) (Fig. 1b) . Twenty articles clearly reported the prevalence of DVT in COVID-19 patients treated in ICU or non-ICU. The pooled prevalence of DVT in Table 1 Characteristics of the included studies COVID-19 patients treated in ICU was 23% (95% CI 11-38%, P < 0.01, I 2 = 96.44%, Q = 421.29, P < 0.01), which was significantly higher than in COVID-19 patients treated in non-ICU (5%, 95% CI 1-11%, P < 0.01, I 2 = 92.17%, Q = 89.42, P < 0.01) (Fig. 1c, d) . We found significant publication bias by Egger's test (P < 0.001) and Begg's test (P < 0.001). The subgroup analysis showed that none of these factors could explain the significant heterogeneity. However, the meta-regression analysis of multiple covariates indicated that the geographic location of patients could partially explain heterogeneity (P = 0.036).

In conclusion, more attention should be paid to the prevention and clinical management of DVT, especially for COVID-19 patients in ICU, and timely assessment of DVT is essential. However, there was considerable heterogeneity in our meta-analysis. In addition, there was significant publication bias in our meta-analysis, although we searched four databases as many and as carefully as possible. Finally, we included non-survival patients who were seriously ill and may exaggerate the prevalence of DVT in COVID-19 patients. 

Extremely high incidence of lower extremity deep venous thrombosis in 48 patients with severe COVID-19 in Wuhan

Deep vein thrombosis in hospitalized patients with coronavirus disease 2019 (COVID-19) in Wuhan, China: prevalence, risk factors, and outcome

Incidence of venous thromboembolism in hospitalized patients with COVID-19. J Thrombosis Haemostasis

Occupational health outcomes among international migrant workers: a systematic review and meta-analysis

Two-sided confidence intervals for the single proportion: comparison of seven methods

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Ying Wang, Li Shi, and Yadong Wang designed the study, performed the analyses, and wrote the manuscript; Ying Wang, Li Shi, Haiyan Yang, and Guangcai Duan performed the statistics; and all authors critically reviewed and approved the manuscript.

This work was supported by the National Natural Science Foundation of China (no. 81973105). The funder has no role in the preparation of manuscript and decision to submission.

Availability of data and materials All data generated or analyzed during this study are included in this article.Ethics approval and consent to participate Not applicable.

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The authors declare that they have no conflict of interests.Received: 30 June 2020 Accepted: 15 July 2020