Encephalopathy at admission predicts adverse outcomes in patients with SARS-CoV-2 infection.

ABSTRACT:

Aims

To determine if neurologic symptoms at admission can predict adverse outcomes in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Methods

Electronic medical records of 1053 consecutively hospitalized patients with laboratory-confirmed infection of SARS-CoV-2 from one large medical center in the USA were retrospectively analyzed. Univariable and multivariable Cox regression analyses were performed with the calculation of areas under the curve (AUC) and concordance index (C-index). Patients were stratified into subgroups based on the presence of encephalopathy and its severity using survival statistics. In sensitivity analyses, patients with mild/moderate and severe encephalopathy (defined as coma) were separately considered.

Results

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SUBMITTER: Tang L 

PROVIDER: S-EPMC8444722 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature