Objective: To investigate the impacts of demographic, hematological, and biochemical factors on the clinical course and the prognostic outcome in adult COVID-19 patients. Methods: This retrospective study was performed in the internal medicine departments of 2 hospitals and data were extracted from the medical files of 1700 adult COVID-19 patients (836 females, 49.2%; 864 males, 50.8%) with an average age of 48.23 ± 16.68 (range: 18-93). Clinical data included baseline descriptives, prior medical history, admission date, treatment, and hematological and biochemical blood test results. The relationship between the survival, length of hospitalization, hematological, and biochemical parameters was investigated. Results: Advanced age (p<0.001), presence of at least 1 comorbid disease (p=0.045), increased length of hospitalization (p=0.006), elevated white blood cell (p=0.001) and neutrophil (p=0.002) counts, increased serum levels of glucose (p=0.027), blood urea nitrogen (p<0.001), AST (p=0.006), LDH (p<0.001), CRP (p>0.001), and D-dimer (p=0.001). In contrast, diminution of serum levels of albumin (p<0.001), ALT (p=0.028), calcium (p=0.022), and platelet count (p=0.010) were associated with increased mortality. There was a positive and weak relationship between serum D-dimer levels and length of hospitalization. Conclusion: Our data imply that identification and validation of indicators that predict COVID-19 disease progression to improve health outcomes are crucial. Age, comorbidities, immunological response, radiographic abnormalities, laboratory markers, and signs of organ dysfunction may all predict poor outcomes individually or collectively. It is critical to identify characteristics that predict COVID-19 problems to guide clinical management, improve patient outcomes, and allocation of limited resources. Keywords: SARS-Cov-2, COVID-19; severity; prognosis; outcome

Aim: Covid-19 mortality rate varies according to age and the presence of chronic disease. In this study, demographic characteristics, comorbidities, presenting symptoms, physical examination findings, laboratory findings, and administered drugs of the discharged or deceased patients admitted to our hospital and hospitalized with the COVID-19 diagnosis were compared to investigate the factors that affect mortality Methods: A retrospective study was performed and included COVID-19 pneumonia patients. 390 consecutive discharged or deceased patients, who were hospitalized in our hospital between March 20 and May 20, 2020, after detection of pneumonia and diagnosis of COVID-19, were included in the study. Result: Of the 390 patients included in the study, 352 (90.25%) were discharged after recovery, while 38 (9.75%) were deceased. The average age of all the patients was 49.46±17,86, the average age of the discharged patients was 47.19±16.76, and the average age of the deceased patients was 70.42±13.7. The average age of deceased patients was significantly higher. Of all the patients, 40.8% was PCR positive Conclusion: The present study revealed that the drugs that patients take due to their comorbidities have no effect on the prognosis of the disease and that the presence of comorbidity itself is indicative of the poor prognosis. Taking into account the PCR positivity of 57.9%, even in deceased patients, we believe PCR is inadequate in the diagnosis, and CT is much more valuable in this regard.

Aim: The aim of this study was to investigate the ABO and Rh blood group distribution and clinical characteristics in patients with Covid-19. Materials and Methods: The clinical characteristics and blood groups of 1667 patients who were hospitalized due to Covid-19 (with a positive PCR test) between 16 March and 10 July were reviewed cross-sectionally.. Results: When blood groups of patients diagnosed with Covid-19 and control group were compared, it was observed that there was increase in the number of Covid-19 patients with blood groups A and AB, decrease in the number of Covid-19 patients with blood group O, a statistically significant increase in the number of individuals with blood group A in Covid-19 patients compared to healthy individuals, and almost significant increase in the number of Covid-19 patients with blood group AB and a very significant decrease in the number of Covid-19 patients with blood group O. Conclusion: Our study has found that having blood group O may be protective, that blood group A may have greater susceptibility to the disease, but this does not affect the course of the disease and is not associated with mortality.

Aim: The common cardiac toxicities of hydroxychloroquine (HCQ) and azithromycin(AZ) are not well defined in COVID -19 patients . The purpose of this study was to evaluate ventricular repolarization in COVID-19 patients treated with HCQ and AZ using iCEB, Tp-e interval, Tp-e/QT ratio, and Tp-e/QTc ratio. Methods: This retrospective study enrolled 164 patients diagnosed with COVID-19 pneumonia in the Emergency Department (ED) and then transferred to the medical floor or ICU in April 2020 Result: A total of 164 patients were mean aged 47 ± 18 years (range, 18-97 years) and 83 (50.6%) were women in study population. Group HTQ had 38 patients , Group HTQ + AZ had 126 patients. On the 5th day of hospitalization heart rates (HR) were significantly lower than ED (p<0,001). On the 5th day of hospitalization QTc , QT max (V5-V6), QTmin, Tp-e (V5-V6) and iCEB values were significantly higher than ED (p=0,01and all the rest p<0,001 respectively). On the 5th day of hospitalization iCEB values of HTZ+AZ group were statistically significant higher than iCEB values of HTQ group (p=0,03). iCEBc had strong correlation between Tp-e/QT (V5). iCEBc had strong negative correlation between Tp-e (V5). Conclusion: The iCEB values were significant increased after HTQ and AZ treatment in COVID-19 patients. We think that iCEB is a more sensitive marker than QT prolongation in predicting the risk of multi-drug arrhythmia.

Aim: The purpose of this study is to determine the level of attention between shifts and to make recommendations about the regulation of shifts. Methods:The researchers applied the Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A), Pittsburgh Sleep Quality Index (PSQI) and Stroop color word interaction test (SCWI) in 72 intensive care workers working in different shifts. Result: The study included a total of 72 participants, including 30 (43.3%) females and 42 (58.3%) males. There were statistically significant differences between the groups in the sub-items of the HAM-D and SCWI test (Table 3). There was a significant elongation in the night shift employees at all times within the SCWI sub-items. A significant height in the number of errors and corrections in the cards applied in the continuation of the test was also determined in the night shift group. Conclusion: This study revealed a significant decrease in the level of attention in the night-shift compared to the day-shift. This increase in attention deficit may also be a preventable cause of increased mortality in the night-shift What is already known about this topic? • Mortality rates in intensive care units are higher than in other clinics. What this paper adds? • Our study reported significantly poor results of the SCWI test in the night-shift compared to the day-shift. The implications of this paper: • This study revealed a significant decrease in the level of attention in the night-shift compared to the day-shift. We believe that it will be beneficial to shorten the shift times, to keep the number of patients per staff at international standards, to set active rest periods and to plan personnel and hours to reduce the lack of attention observed in the night shift. KEYWORDS Attention, healthcare worker, night-shift, intensive care