tetano
Editor, Senior Moderator
Emerg Infect Dis
. 2022 Jul 7;28(8).
doi: 10.3201/eid2808.212200. Online ahead of print.
COVID-19 Symptoms and Deaths among Healthcare Workers, United States
Shao Lin, Xinlei Deng, Ian Ryan, Kai Zhang, Wangjian Zhang, Ese Oghaghare, DeeDee Bennett Gayle, Benjamin Shaw
Abstract
We evaluated whether demographics and COVID-19 symptoms predicted COVID-19 deaths among healthcare workers (HCWs) in the United States by comparing COVID-19 deaths in HCWs with 3 control groups (HCW nondeaths, non-HCW deaths, and non-HCW nondeaths) using a case-control design. We obtained patient-level data of 33 variables reported during January 1, 2020-October 12, 2021, in all US states. We used logistic regression analysis while controlling for confounders. We found that persons who were >50 years of age, male, Black, or Asian experienced significantly more deaths than matched controls. In addition, HCWs who died had higher risks for the most severe clinical indicators. We also found that the most indicative symptoms were preexisting medical conditions, shortness of breath, fever, cough, and gastrointestinal symptoms. In summary, minority, male, and older HCWs had greater risk for COVID-19 death. Severe clinical indicators and specific symptoms may predict COVID-19-related deaths among HCWs.
Keywords: COVID-19; SARS-CoV-2; United States; coronavirus disease; deaths; demographics; health status indicators; healthcare workers; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses.
. 2022 Jul 7;28(8).
doi: 10.3201/eid2808.212200. Online ahead of print.
COVID-19 Symptoms and Deaths among Healthcare Workers, United States
Shao Lin, Xinlei Deng, Ian Ryan, Kai Zhang, Wangjian Zhang, Ese Oghaghare, DeeDee Bennett Gayle, Benjamin Shaw
- PMID: 35798004
- DOI: 10.3201/eid2808.212200
Abstract
We evaluated whether demographics and COVID-19 symptoms predicted COVID-19 deaths among healthcare workers (HCWs) in the United States by comparing COVID-19 deaths in HCWs with 3 control groups (HCW nondeaths, non-HCW deaths, and non-HCW nondeaths) using a case-control design. We obtained patient-level data of 33 variables reported during January 1, 2020-October 12, 2021, in all US states. We used logistic regression analysis while controlling for confounders. We found that persons who were >50 years of age, male, Black, or Asian experienced significantly more deaths than matched controls. In addition, HCWs who died had higher risks for the most severe clinical indicators. We also found that the most indicative symptoms were preexisting medical conditions, shortness of breath, fever, cough, and gastrointestinal symptoms. In summary, minority, male, and older HCWs had greater risk for COVID-19 death. Severe clinical indicators and specific symptoms may predict COVID-19-related deaths among HCWs.
Keywords: COVID-19; SARS-CoV-2; United States; coronavirus disease; deaths; demographics; health status indicators; healthcare workers; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses.
