We investigated the efficacy and safety of hydroxychloroquine for empirical treatment of outpatients with confirmed COVID-19. Methods: In this prospective, single-center study, we enrolled ambulatory outpatients with COVID-19 confirmed by a molecular method who received hydroxychloroquine. The patients were divided into low-and moderaterisk groups based on the Tisdale risk score for drug-associated QT prolongation, and the QT interval was corrected for heart rate using the Bazett formula (QTc). The QTc interval was measured by electrocardiography both pretreatment (QTc1) and 4 h after the administration of hydroxychloroquine (QTc2). The difference between the QTc1 and QTc2 intervals was defined as the ΔQTc. The QTc1 and QTc2 intervals and ΔQTc values were compared between the two risk groups. Results: The median and interquartile range (IQR) age of the patients was 47.0 (36.2-62) years, and there were 78 men and 74 women. The median (IQR) QTc1 interval lengthened from 425.0 (407.2-425.0) to 430.0 (QTc2; 412.0-443.0) milliseconds (ms). However, this was not considered an increased risk of ventricular tachycardia associated with a prolonged QTc interval requiring drug discontinuation, because none of the patients had a ΔQTc of >60 ms or a QTc2 of >500 ms. Moreover, the median (quartiles; minimum-maximum) ΔQTc value was higher in patients in the moderate-risk group than those in the low-risk group (

Background We investigated potential predictive factors for mortality and disease severity from demographic and clinical data, comorbidities, and laboratory findings in patients with confirmed COVID-19 who were consecutively admitted to our tertiary hospital. Methods In this retrospective, single-center, observational study, we enrolled consecutive 540 adult patients who had COVID-19 confirmed by a molecular method. Patients were categorized into three groups based on disease severity. Patients’ demographic and clinical characteristics, mortality rates, and mortality-associated factors were analyzed. Results The overall mortality rate was 4.3% (23/540). Disease severity was mild in 40.9% (n = 221), severe in 53.7% (n = 290), and critical in 5.4% (n = 29) of the patients. There were significant differences among groups in terms of median white blood cell (WBC), hemoglobin, neutrophil, lymphocyte, and thrombocyte counts, as well as C-reactive protein (CRP), procalcitonin, lactate dehydrogenase (LDH), creatinine, albumin, D-dimer, ferritin, troponin, and fibrinogen levels. Furthermore, there were significant differences between surviving and non-surviving patient groups in terms of median WBC, hemoglobin, neutrophil, and lymphocyte counts, as well as CRP, procalcitonin, LDH, creatinine, albumin, D-dimer, and ferritin levels. CRP level (odds ratio [OR]: 1.020, 95% confidence interval [CI]: 1.009–1.032; p < 0.001), and CURB-65 score (OR: 4.004, 95% CI: 1,288–12,447; p = 0.017) were independently associated with disease severity and mortality. Conclusion On admission, WBC, neutrophil, lymphocyte, and platelet counts can be used to predict disease severity in patients with COVID-19. CRP, ferritin, LDH, creatinine, troponin, D-dimer, fibrinogen, and albumin levels can also be used to predict disease severity in these patients. Finally, elevated CRP level and high CURB-65 score were predictors of disease severity and mortality.

BACKGROUND: We evaluated risk factors and frailty assessments to identify fall-prone geriatric patients in the emergency department (ED). METHODS: This prospective study included 264 consecutive patients aged ≥65 years who presented to the ED. The participants were divided into those who had fallen or not. The patient groups were compared in terms of age, sex, presenting complaints (falls vs. others), comorbidities, medications, frailty assessment tools, and orthostatic hypotension (OH). RESULTS: In total, 264 patients were included: 129 (48.8%) patients who had fallen and 135 (51.2%) who hadn’t fallen. The mean ages of patients who had fallen and those who had not fallen were 80.48±8.38 and 79.42±7.94 years, respectively. In addition, 62.01% (n=80) and 51.85% (n=70) of patients were females. There were no statistically significant differences between the groups in terms of age or sex (P=0.290 and P=0.096, respectively). In total, 89.92% (n=116) of patients who had fallen had at least one chronic medical condition. There was a significant difference in the proportion of patients with OH between the groups. Frailty scores such as the Edmonton Frail Scale, Frail Non-Disabled Questionnaire, PRISMA-7 questionnaire, Identification of Seniors at Risk test, and Rockwood Clinical Frailty Scale scores were also significantly different between the groups. A higher PRISMA-7 score at admission was found to be an independent predictor of fall risk. CONCLUSION: Falls occur more frequently in the older population and in females. In addition, the frailty assessment scores, except for the FRESH Frailty Scale, were associated with falls in geriatric patients. After elimination of non-significant variables in multivariate analysis, a high PRISMA-7 questionnaire score at admission was identified as an independent predictor of fall risk.

BACKGROUND: The present study aims to examine the characteristics of patients with trauma who applied to the emergency department in parallel periods before and after the novel Coronavirus Disease 2019 (COVID-19) outbreak and analyze the effects of social change on traumatic injuries.METHODS: In this study, medical records of patients who presented to the emergency departments of seven hospitals operating as a tertiary training and research hospital in Istanbul between March-June 2018, March-June 2019, and March-June 2020 are due to trauma were retrospectively analyzed. The clinical and demographic characteristics of traumatic injuries before and after the pandemic were compared.RESULTS: In our study, 4088 trauma patients' data were reviewed; 1279 in March-June 2018, 1684 in March-June 2019, and 1125 in March-June 2020. When the total number of patients was examined, it was noticed that the number of patients decreased significantly during the COVID-19 pandemic. No significant difference was found between the periods regarding sex and trauma mechanisms of the patients. The mean age was higher in patients admitted in 2020 compared to previous years. In our study, incidences of intracranial hemorrhage, femur fracture, lung injuries, and mortality rates were higher in March-June 2020 compared to previous parallel years. CONCLUSION: In March-June 2020, compared to the previous year, there was a 34% decrease in trauma cases admitted to the emergency department. Albeit no difference was found between the periods regarding trauma mechanisms, the higher mortality in the March-June 2020 period indicates that trauma continues to be one of the major causes of death despite the pandemic.