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Dataset Information

Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings.


ABSTRACT:

Objective

To investigate possible early prognostic factors among middle-aged and older adult and explore prognostic rules stratifying risk of patients.

Design

Community-based retrospective cohort.

Setting

Primary Health Care Tarragona region.

Participants

282 community-dwelling symptomatic patients ≥50 years with laboratory-confirmed COVID-19 (hospitalised and/or outpatient) during March-June 2020 in Tarragona (Southern Catalonia, Spain).

Main outcome measurements

Relationship between demographics, pre-existing comorbidities and early symptomatology (first 5-days) and risk of suffering critical outcome (ICU-admission/death) across clinical course was evaluated by logistic regression analyses, and simple predictive models were developed.

Results

Of

SUBMITTER: Vila-Corcoles A 

PROVIDER: S-EPMC8162822 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature