Predictors of mortality in 217 COVID‐19 patients in Northwest Ohio, United States: A retrospective study

The coronavirus disease 2019 (COVID-19) pandemic continues to cause significant morbidity and mortality worldwide. This study aims identify specific lab markers, complications, treatments that may be associated with increased in COVID-19 patients. is retrospective nature; it included 217 positive patients who were admitted a ProMedica Health System hospital Northwest Ohio, United States, between March 25 June 16, 2020. We collected various laboratory values, treatment courses. T test χ2 analyses used predict mortality. was confirmed via polymerase chain reaction. Of the study, mean age of population 63.13 (SD, 17.8), which 194 (89.4%, 61.7 years) survived while 23 (10.6%, 74.6 died. Among them, 53% females 47% male. Laboratory values low hemoglobin (p = .0046), elevated INR .0005), platelets .0246) procalcitonin .0472). Marginally troponin .0661), creatinine .0741). Treatment either antibiotic, antifungals, antivirals, blood transfusion, steroids, intubation all statistically for related complications ARDS, myocarditis, INR, septic shock, or greater than 63 predictors Low hemoglobin, platelet, procalcitonin, treated antifungal, antiviral, are high infection. Healthcare professionals must aware these predictors.