ABSTRACT
Background There is limited data on the clinical characteristics and predictors of mortality of coronavirus disease-2019 (COVID-19) in North West Ohio. We performed a retrospective review of patients hospitalized with COVID-19 in the ProMedica Health System in Northwest Ohio from March 25 to June 16, 2020. The study aims to identify epidemiological, clinical characteristics, and predictors of Mortality of COVID-19 patients in Northwest Ohio. Methods This study was conducted on 217 COVID-19 patients admitted to ProMedica Health System Hospitals in Northwest Ohio from March 25 to June 16, 2020. We collected data, including clinical signs, symptoms, and outcomes of the COVID-19 patients. We compared clinical signs and symptoms along with comorbidities of survivors and non-survivors. Results Of the 217 patients included in the study, the mean age of the population was 63.13 (SD 17.8), of which 194 (89.4%, mean age 61.7 years) survived while 23 (10.6%, mean age 74.6 years) died. Among them, 53% were females and 47% male. Common presenting symptoms were chest pain (91.71%), shortness of breath (79.7%), cough (71%), and fever (64%). Mortality was associated with age greater than 63 (p-value 0.0052) and hypertension (p-value: 0.0058) with marginal significance with gender (p-value: 0.0642), chest pain (p-value: 0.0944), and history of cancer (p-value: 0.0944). Conclusions Advanced age and hypertension (HTN) are independent predictors for increased mortality. History of cancer and chest pain are associated with increased mortality with marginal significance. Awareness among physicians about predictors of mortality is essential in dealing with COVID-19 patients. It is essential to educate the public about preventative strategies such as wearing masks to decrease mortality and morbidity from this pandemic.
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic continues to cause significant morbidity and mortality worldwide. This study aims to identify specific lab markers, complications, and treatments that may be associated with increased mortality in COVID-19 patients. This study is retrospective in nature; it included 217 COVID-19 positive patients who were admitted to a ProMedica Health System hospital in Northwest Ohio, United States, between March 25 and June 16, 2020. We collected various laboratory values, complications, and treatment courses. T test and χ2 analyses were used to predict mortality. COVID-19 test was confirmed via polymerase chain reaction. Of 217 patients included in the study, the mean age of the population was 63.13 (SD, 17.8), of which 194 (89.4%, mean age 61.7 years) survived while 23 (10.6%, mean age 74.6 years) died. Among them, 53% were females and 47% male. Laboratory values that were associated with mortality were low hemoglobin (p = .0046), elevated INR (p = .0005), low platelets (p = .0246) and elevated procalcitonin (p = .0472). Marginally significant laboratory values included elevated troponin (p = .0661), and elevated creatinine (p = .0741). Treatment with either antibiotic, antifungals, antivirals, blood transfusion, steroids, and intubation were all statistically significant for mortality. COVID-19 related complications with either ARDS, myocarditis, elevated INR, septic shock, or age greater than 63 were significant predictors of mortality. Low hemoglobin, elevated INR, Low platelet, elevated procalcitonin, treated with either antibiotic, antifungal, antiviral, blood transfusion, steroids, and intubation are associated with high mortality related to COVID-19 infection. Healthcare professionals must be aware of these predictors.