Comparison of deep vein thrombosis risks in acute respiratory distress syndrome Caused by COVID-19 and Bacterial Pneumonia: A Retrospective Cohort Study
Abstract Background: High incidence of deep vein thrombosis (DVT) has been observed in patients with acute respiratory distress syndrome (ARDS) caused by COVID-19 and those by bacterial pneumonia. However, it is also important to differentiate between these two groups of patients. Study Design and Methods: We performed a retrospective cohort study to investigate the difference of DVT between the two independent cohorts of ARDS and eventually enrolled 240 patients, 105 of whom with ARDS caused by COVID-19 and 135 by bacterial pneumonia. We analyzed demographics and clinical characteristics for patients with and without DVT in these two cohorts and explored the main differences and similarities between them.Results: The 28-days incidence of DVT in COVID-19 cohort was higher than that in bacterial pneumonia cohort (57.1% vs 41.5%, P=0.016). Taking death as competitive risk, Fine-Gray test showed no significant difference in 28-day cumulative incidence of DVT between these two groups (P=0.220). Fine-Gray competing risk analysis showed an association between CK (creatine kinase isoenzyme)-MB levels, PaO2 (partial pressure of arterial oxygen)/FiO2 (fraction of inspired oxygen) ratios, D-dimer levels and DVT in COVID-19 cohort and an association between serum creatinine levels, IMV, and DVT in bacterial pneumonia cohort. The sensitivity and specificity of corresponding receiver operating characteristic curve originating from the combination of CK-MB levels, PaO2/FiO2 ratios and D-dimer levels ≥ 0.5 µg/mL was not inferior to those of the Padua prediction score and the Wells score for screening for DVT in COVID-19 cohort.Conclusions: Compared with patients with ARDS caused by bacterial pneumonia, the incidence of DVT is higher by logistic model in patients with ARDS caused by COVID-19, and the risk factors for DVT are completely different. Our novel prediction model can aid early identifying patients with high risk for DVT.