Predictive model for severe COVID-19 using SARS-CoV-2 whole-genome sequencing and electronic health record data, March 2020-May 2021.
Lei ZhuJane W MarshMarissa P GriffithKevin CollinsVatsala SrinivasaKady WaggleDaria Van TyneGraham M SnyderTung PhanAlan WellsOscar C MarroquinLee H HarrisonPublished in: PloS one (2022)
Among people hospitalized with COVID-19, older age, higher BMI, earlier test positive period, history of chronic heart failure, atrial fibrillation, or diabetes, and infection with clade 20A SARS-CoV-2 strains can predict severe COVID-19.
Keyphrases
- sars cov
- electronic health record
- respiratory syndrome coronavirus
- coronavirus disease
- atrial fibrillation
- type diabetes
- clinical decision support
- cardiovascular disease
- early onset
- escherichia coli
- body mass index
- physical activity
- heart failure
- adverse drug
- left atrial
- left atrial appendage
- skeletal muscle
- weight gain
- glycemic control
- percutaneous coronary intervention
- left ventricular
- catheter ablation
- coronary artery disease
- acute coronary syndrome