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    The importance of procalcitonin in the diagnosis and prognosis of patients with dyspnea in the emergency department Is procalcitonin gold standart in pneumonia?
    (Bayrakol Medical Publisher, 2021) Erdoğan, Arife; Bora, Ejder Saylav; Kokkoz, Çağrı; Erdoğan, Mümin Alper; Elmalı, Ferhan
    Aim: Dyspnea is a common problem in emergency services worldwide. Bacterial pneumonia is a common etiology in patients with acute dyspnea causing mor-bidity and mortality. Early initiation of appropriate antibiotic therapy reduces mortality. However, it is difficult to diagnose pneumonia with symptoms similar to acute heart failure and acute exacerbation of chronic obstructive pulmonary disease, and without definitive diagnostic testing. For this, it is thought that the use of a biomarker that can diagnose pneumonia at the time of admission to the hospital would be clinically useful. Material and Methods: Patients who came to the emergency department with shortness of breath were analyzed retrospectively. Three hundred patients were examined. Serum procalcitonin values of patients diagnosed with pneumonia by chest radiography or thorax CT were compared with other patients. Patients discharged from the emergency department or hospitalized were classified as a good clinical outcome group, patients who were intubated, in need of intensive care, or who died were classified as a poor clinical outcome group, and procalcitonin values were compared. The data were evaluated using the SPSS Statistics Standard statistical package program. A p <0.001 value was considered statistically significant. Results: In patients presenting with dyspnea, pneumonia (150), COPD exacerbation (30), lower respiratory tract infection (LRTI) (18), acute coronary syndrome (ACS) (27), and acute heart failure (AHF) (76) were diagnosed. The PCT values of the patients diagnosed with pneumonia were significantly higher than the other groups (p <0.001). In terms of white blood cell (WBC) values, there was no significant difference between pneumonia patients and other patients. When the neutrophil-lymphocyte ratio (NLR) was examined, it was found to be significantly higher in pneumonia patients (p <0.001). When we examined the progno-sis of pneumonia patients, the PCT values of the patients with a poor prognosis were found to be significantly higher (p <0.001). Discussion: We have seen that PCT has an important role in the diagnosis and prognosis of pneumonia in patients admitted to the emergency department with shortness of breath.
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    The Effect of Seasonal Factors on the Spread and Mortality of COVID-19: Retrospective Multicenter Study
    (Hacettepe University, 2023) Arıkan, Cüneyt; Yamanoğlu, Adnan; Tekindal, Mustafa Agah; Siliv, Neslihan; Bora, Ejder Saylav; Şener, Aslı; Kanter, Efe
    Objectives: The impact of seasonal factors on the spread of Coronavirus-19 disease (COVID-19) is not yet clear. The aim of this study is to determine the effect of seasonal factors on the spread of COVID-19. Methods: This multicenter retrospective study was performed by collecting 284-day COVID-19 data from two university hospitals in a metropolitan center. Correlations between the seasonal parameters of temperature, humidity, wind, and rainfall and the spread of COVID-19 and its clinical outcomes were evaluated using Spearman’s correlation test. Since no linear relationship was determined between variables exhibiting correlation, all models were tested using non-linear curve estimation regression models. The most powerful of the curve estimation regression models, capable of explaining more than 20% of the changes in COVID-19 parameters, was formulated to explain the expected number of events. Results: A total of 24 2Objectives: The impact of seasonal factors on the spread of Coronavirus-19 disease (COVID-19) is not yet clear. The aim of this study is to determine the effect of seasonal factors on the spread of COVID-19. Methods: This multicenter retrospective study was performed by collecting 284-day COVID-19 data from two university hospitals in a metropolitan center. Correlations between the seasonal parameters of temperature, humidity, wind, and rainfall and the spread of COVID-19 and its clinical outcomes were evaluated using Spearman’s correlation test. Since no linear relationship was determined between variables exhibiting correlation, all models were tested using non-linear curve estimation regression models. The most powerful of the curve estimation regression models, capable of explaining more than 20% of the changes in COVID-19 parameters, was formulated to explain the expected number of events. Results: A total of 24 225 patients were included in the study. The most powerful correlation was between mean daily temperature and daily case numbers (r:-0.643, p<0.00), with case numbers being highest on days when the mean temperature was 7-18℃. Mean temperate was capable of explaining 57% of COVID-19 case numbers (R-Square:0.571, p<0.00), the relationship between them being best explained in the ’S’ curve regression model. The formula ‘’Y=exp(2.07+31.34/x)’’ was obtained for the number of patients expected from the model according to mean temperature. Conclusions: Temperature may be the most effective factor in the spread of COVID-19 and the number of cases may be predicted based on temperature. patients were included in the study. The most powerful correlation was between mean daily temperature and daily case numbers (r:-0.643, p<0.00), with case numbers being highest on days when the mean temperature was 7-18℃. Mean temperate was capable of explaining 57% of COVID-19 case numbers (R-Square:0.571, p<0.00), the relationship between them being best explained in the ’S’ curve regression model. The formula ‘’Y=exp(2.07+31.34/x)’’ was obtained for the number of patients expected from the model according to mean temperature. Conclusions: Temperature may be the most effective factor in the spread of COVID-19 and the number of cases may be predicted based on temperature.