Electronic health record analysis identifies kidney disease as the leading risk factor for hospitalization in confirmed COVID-19 patients

Empirical data on conditions that increase risk of coronavirus disease 2019 (COVID-19) progression are needed to identify high risk individuals. We performed a comprehensive quantitative assessment of pre-existing clinical phenotypes associated with COVID-19-related hospitalization. Phenome-wide ass...

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Veröffentlicht in:	PloS one 2020-11, Vol.15 (11), p.e0242182-e0242182
Hauptverfasser:	Oetjens, Matthew T, Luo, Jonathan Z, Chang, Alexander, Leader, Joseph B, Hartzel, Dustin N, Moore, Bryn S, Strande, Natasha T, Kirchner, H Lester, Ledbetter, David H, Justice, Anne E, Carey, David J, Mirshahi, Tooraj
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Aged, 80 and over Airway management Betacoronavirus Biology and life sciences Care and treatment Chronic illnesses Codes Complications and side effects Computer and Information Sciences Congestive heart failure Coronavirus Infections - epidemiology Coronaviruses COVID-19 Data integration Development and progression Diabetes mellitus Diabetes mellitus (non-insulin dependent) Dialysis Electronic Health Records Electronic medical records Electronic records Empirical analysis Female Genotype & phenotype Glomerular filtration rate Health risks Heart failure Hospitalization Hospitalization - statistics & numerical data Hospitals Humans Kidney diseases Kidney Diseases - epidemiology Kidney Failure, Chronic - epidemiology Kidney transplantation Kidney transplants Kidneys Male Management Medical records Medicine and Health Sciences Metabolism Middle Aged Pandemics Patients Pennsylvania - epidemiology Phenotypes Pneumonia, Viral - epidemiology Pre-existing conditions Renal Dialysis Renal Insufficiency, Chronic - epidemiology Retrospective Studies Risk analysis Risk Factors SARS-CoV-2 Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Viral diseases
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