Increased risk of COVID-19-related admissions in patients with active solid organ cancer in the West Midlands region of the UK: a retrospective cohort study.

ABSTRACT:

Objective

Susceptibility of patients with cancer to COVID-19 pneumonitis has been variable. We aim to quantify the risk of hospitalisation in patients with active cancer and use a machine learning algorithm (MLA) and traditional statistics to predict clinical outcomes and mortality.

Design

Retrospective cohort study.

Setting

A single UK district general hospital.

Participants

Data on total hospital admissions between March 2018 and June 2020, all active cancer diagnoses between March 2019 and June 2020 and clinical parameters of COVID-19-positive admissions between March 2020 and June 2020 were collected. 526 COVID-19 admissions without an active cancer diagnosis were compared with 87 COVID-19 admissions with an active cancer diagnosis.

Primary and secondary

SUBMITTER: Akingboye A 

PROVIDER: S-EPMC8671845 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature