Impact of oral anticoagulation on clinical outcomes of COVID-19: a nationwide cohort study of hospitalized patients in Germany

CLINICAL RESEARCH IN CARDIOLOGY(2021)

Cited 51|Views29
No score
Abstract
Objectives The aim of this study was to investigate the impact of concomitant long-term medication—with a focus on ACE inhibitors and oral anticoagulation—on clinical outcomes in patients hospitalized with coronavirus disease 2019. Methods This is a retrospective cohort study using claims data of the biggest German health insurance company AOK, covering 26.9 million people all over Germany. In particular, patient-related characteristics and co-medication were evaluated. A multivariable logistic regression model was adopted to identify independent predictors for the primary outcome measure of all-cause mortality or need for invasive or non-invasive ventilation or extracorporeal membrane oxygenation. Results 6637 patients in 853 German hospitals were included. The primary outcome occurred in 1826 patients (27.5%). 1372 patients (20.7%) died, 886 patients (13.3%) needed respiratory support, and 53 patients (0.8%) received extracorporeal membrane oxygenation. 34 of these patients survived (64.2%). The multivariable model demonstrated that pre-existing oral anticoagulation therapy with either vitamin-K antagonists OR 0.57 (95% CI 0.40–0.83, p = 0.003) or direct oral anticoagulants OR 0.71 (95% CI 0.56–0.91, p = 0.007) — but not with antiplatelet therapy alone OR 1.10 (95% CI 0.88–1.23, p = 0.66)—was associated with a lower event rate. This finding was confirmed in a propensity match analysis. Conclusions In a multivariable analysis, a therapy with both direct oral anticoagulants or vitamin-K antagonists—but not with antiplatelet therapy—was associated with improved clinical outcomes. ACE inhibitors did not impact outcomes. Prospective randomized trials are needed to verify this hypothesis. Graphic abstract
More
Translated text
Key words
COVID-19,DOACs,Vitamin-K-antagonist,Antiplatelet therapy,ACE inhibitors,ECMO
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined