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Dataset Information

Predictors and outcomes of healthcare-associated infections in COVID-19 patients.


ABSTRACT:

Introduction

Healthcare-associated infections (HAI) after viral illnesses are important sources of morbidity and mortality. This has not been extensively studied in hospitalized COVID-19 patients.

Methods

This study included all COVID-19-positive adult patients (≥18 years) hospitalized between 01 March and 05 August 2020 at the current institution. The Centers for Disease Control and Prevention definition of HAI in the acute care setting was used. The outcomes that were studied were rates and types of infections and in-hospital mortality. Several multivariable logistic regression models were constructed to examine characteristics associated with development of HAI.

Results

Fifty-nine (3.7%) of 1565 patients developed 140 separate HAIs from 73 different organisms: 23 w

SUBMITTER: Kumar G 

PROVIDER: S-EPMC7666872 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature