Rapid real-world data analysis of patients with cancer, with and without COVID-19, across distinct health systems.

ABSTRACT:

Background

The understanding of the impact of COVID-19 in patients with cancer is evolving, with need for rapid analysis.

Aims

This study aims to compare the clinical and demographic characteristics of patients with cancer (with and without COVID-19) and characterize the clinical outcomes of patients with COVID-19 and cancer.

Methods and results

Real-world data (RWD) from two health systems were used to identify 146 702 adults diagnosed with cancer between 2015 and 2020; 1267 COVID-19 cases were identified between February 1 and July 30, 2020. Demographic, clinical, and socioeconomic characteristics were extracted. Incidence of all-cause mortality, hospitalizations, and invasive respiratory support was assessed between February 1 and August 14, 2020. Among patients wi

SUBMITTER: Hwang C 

PROVIDER: S-EPMC8209944 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature