Using body temperature and variables commonly available in the EHR to predict acute infection: a proof-of-concept study showing improved pretest probability estimates for acute COVID-19 infection among discharged emergency department patients.
Carl T BerdahlAn T NguyenMarcio A DinizAndrew J HenreidTeryl K NuckolsChristopher P LibbyJoshua M PevnickPublished in: Diagnosis (Berlin, Germany) (2021)
By incorporating covariates known to affect body temperature, we demonstrated improved pretest probability estimates of acute COVID-19 infection. Future work should be undertaken to further develop and validate our model in a larger, multi-institutional sample.
Keyphrases
- liver failure
- emergency department
- respiratory failure
- end stage renal disease
- aortic dissection
- chronic kidney disease
- ejection fraction
- newly diagnosed
- hepatitis b virus
- peritoneal dialysis
- intensive care unit
- patient reported outcomes
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- patient reported