Facilitating Safe Discharge Through Predicting Disease Progression in Moderate Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study to Develop and Validate a Clinical Prediction Model in Resource-Limited Settings.
Chandna A., Mahajan R., Gautam P., Mwandigha L., Gunasekaran K., Bhusan D., Cheung ATL., Day N., Dittrich S., Dondorp A., Geevar T., Ghattamaneni SR., Hussain S., Jimenez C., Karthikeyan R., Kumar S., Kumar S., Kumar V., Kundu D., Lakshmanan A., Manesh A., Menggred C., Moorthy M., Osborn J., Richard-Greenblatt M., Sharma S., Singh VK., Singh VK., Suri J., Suzuki S., Tubprasert J., Turner P., Villanueva AMG., Waithira N., Kumar P., Varghese GM., Koshiaris C., Lubell Y., Burza S.
BACKGROUND: In locations where few people have received coronavirus disease 2019 (COVID-19) vaccines, health systems remain vulnerable to surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Tools to identify patients suitable for community-based management are urgently needed. METHODS: We prospectively recruited adults presenting to 2 hospitals in India with moderate symptoms of laboratory-confirmed COVID-19 to develop and validate a clinical prediction model to rule out progression to supplemental oxygen requirement. The primary outcome was defined as any of the following: SpO2 30 BPM; SpO2/FiO2