Intermediate-dose anticoagulation, aspirin, and in-hospital mortality in COVID-19: a propensity score-matched analysis

ABSTRACT Background Thrombotic complications occur at high rates in hospitalized patients with COVID-19, yet the impact of intensive antithrombotic therapy on mortality is uncertain.Research Question How does in-hospital mortality compare with intermediate-versus prophylactic-dose anticoagulation, and separately with in-hospital aspirin versus no antiplatelet therapy, in treatment of COVID-19?Study Design and Methods Using data from 2785 hospitalized adult COVID-19 patients, we established two separate, nested cohorts of patients (1) who received intermediate- or prophylactic-dose anticoagulation (“anticoagulation cohort”, N = 1624), or (2) who were not on home antiplatelet therapy and received either in-hospital aspirin or no antiplatelet therapy (“aspirin cohort”, N = 1956). Propensity score matching utilizing various markers of illness severity and other patient-specific covariates yielded treatment groups with well-balanced covariates in each cohort. The primary outcome was cumulative incidence of in-hospital death.Results Among propensity score-matched patients in the anticoagulation cohort (N = 382), in a multivariable regression model, intermediate-compared to prophylactic-dose anticoagulation was associated with a significantly lower cumulative incidence of in-hospital death (hazard ratio 0.518 [0.308-0.872]). Among propensity-score matched patients in the aspirin cohort (N = 638), in a multivariable regression model, in-hospital aspirin compared to no antiplatelet therapy was associated with a significantly lower cumulative incidence of in-hospital death (hazard ratio 0.522 [0.336-0.812]).Interpretation In this propensity score-matched, observational study of COVID-19, intermediate-dose anticoagulation and aspirin were each associated with a lower cumulative incidence of in-hospital death.Summary conflict of interest statements No conflict of interest exists for any author on this manuscript..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 11. Dez. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Meizlish, Matthew L. [VerfasserIn]
Goshua, George [VerfasserIn]
Liu, Yiwen [VerfasserIn]
Fine, Rebecca [VerfasserIn]
Amin, Kejal [VerfasserIn]
Chang, Eric [VerfasserIn]
DeFilippo, Nicholas [VerfasserIn]
Keating, Craig [VerfasserIn]
Liu, Yuxin [VerfasserIn]
Mankbadi, Michael [VerfasserIn]
McManus, Dayna [VerfasserIn]
Wang, Stephen [VerfasserIn]
Price, Christina [VerfasserIn]
Bona, Robert D. [VerfasserIn]
Chaar, Cassius Iyad Ochoa [VerfasserIn]
Chun, Hyung J. [VerfasserIn]
Pine, Alexander B. [VerfasserIn]
Rinder, Henry M. [VerfasserIn]
Siner, Jonathan [VerfasserIn]
Neuberg, Donna S. [VerfasserIn]
Owusu, Kent A. [VerfasserIn]
Lee, Alfred Ian [VerfasserIn]

Links:

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Themen:

570
Biology

doi:

10.1101/2021.01.12.21249577

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI01974661X