Epidemiological and Clinical Characteristics of 217 COVID-19 Patients in Northwest Ohio, United States.

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.

The United States Medical Licensing Exam Step 2 Clinical Skills Examination: Potential Alternatives During and After the COVID-19 Pandemic.

We feel that the current COVID-19 crisis has created great uncertainty and anxiety among medical students. With medical school classes initially being conducted on the web and the approaching season of "the Match" (a uniform system by which residency candidates and residency programs in the United States simultaneously "match" with the aid of a computer algorithm to fill first-year and second-year postgraduate training positions accredited by the Accreditation Council for Graduate Medical Education), the situation did not seem to be improving. The National Resident Matching Program made an official announcement on May 26, 2020, that candidates would not be required to take or pass the United States Medical Licensing Examination Step 2 Clinical Skills (CS) examination to participate in the Match. On January 26, 2021, formal discontinuation of Step 2 CS was announced; for this reason, we have provided our perspective of possible alternative solutions to the Step 2 CS examination. A successful alternative model can be implemented in future residency match seasons as well.

Efficacy of tocilizumab in COVID-19: A systematic review and meta-analysis.

The efficacy of tocilizumab (TOC), monoclonal antibody against interleukin-6 (IL-6) receptor, in patients with coronavirus disease-2019 (COVID-19) patients has led to conflicting results. We performed a systematic review and meta-analysis to compare the efficacy of addition of TOC to standard of care (SOC) versus SOC in patients with COVID-19. We performed a comprehensive literature search of PubMed, Embase, Web of Science, WHO COVID, LitCOVID, and Cochrane databases. Pooled outcomes (overall mortality, need for mechanical ventilation, intensive care unit admission, and secondary infections) were compared using DerSimonian-Laird/Random-effects approach. Risk difference (RD), confidence interval (CI), and p values were generated. A total of 23 studies with 6279 patients (1897 in TOC and 4382 in SOC group, respectively) were included. The overall mortality was lower in TOC group compared to SOC group (RD: -0.06; CI: -0.12 to -0.01; p = .03). Subgroup analysis including studies with only severe cases revealed lower mortality (RD: -0.12; CI: -0.18 to -0.06; p < .01) and need for mechanical ventilation (RD: -0.11; CI: -0.19 to -0.02; p = .01) in TOC group compared to SOC group. The addition of TOC to SOC has the potential to reduce mortality and need for mechanical ventilation in patients with severe COVID-19. Randomized controlled trials are needed to validate this.

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 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.