Unknown

Dataset Information

0

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin.


ABSTRACT:

Background

There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics.

Methods

Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined.

Results

6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46-1.70] and 1.04 (95% CI, 0.96-1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53-0.90).

Conclusions

Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types.

Impact

This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3.

SUBMITTER: Nolan MB 

PROVIDER: S-EPMC9827105 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin.

Nolan Margaret B MB   Piasecki Thomas M TM   Smith Stevens S SS   Baker Timothy B TB   Fiore Michael C MC   Adsit Robert T RT   Bolt Daniel M DM   Conner Karen L KL   Bernstein Steven L SL   Eng Oliver D OD   Lazuk David D   Gonzalez Alec A   Hayes-Birchler Todd T   Jorenby Douglas E DE   D'Angelo Heather H   Kirsch Julie A JA   Williams Brian S BS   Kent Sean S   Kim Hanna H   Lubanski Stanley A SA   Yu Menggang M   Suk Youmi Y   Cai Yuxin Y   Kashyap Nitu N   Mathew Jomol J   McMahan Gabriel G   Rolland Betsy B   Tindle Hilary A HA   Warren Graham W GW   Abu-El-Rub Noor N   An Lawrence C LC   Boyd Andrew D AD   Brunzell Darlene H DH   Carrillo Victor A VA   Chen Li-Shiun LS   Davis James M JM   Deshmukh Vikrant G VG   Dilip Deepika D   Goldstein Adam O AO   Ha Patrick K PK   Iturrate Eduardo E   Jose Thulasee T   Khanna Niharika N   King Andrea A   Klass Elizabeth E   Lui Michelle M   Mermelstein Robin J RJ   Poon Chester C   Tong Elisa E   Wilson Karen M KM   Theobald Wendy E WE   Slutske Wendy S WS  

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20230101 1


<h4>Background</h4>There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics.<h4>Methods</h4>Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteris  ...[more]

Similar Datasets

| S-EPMC9494410 | biostudies-literature
| S-EPMC8544959 | biostudies-literature
| S-EPMC11466342 | biostudies-literature
| S-EPMC8478975 | biostudies-literature
| S-EPMC10602360 | biostudies-literature
| S-EPMC9759827 | biostudies-literature
| S-EPMC7685686 | biostudies-literature
| S-EPMC8116910 | biostudies-literature
| S-EPMC9176658 | biostudies-literature
| S-EPMC9301894 | biostudies-literature