ABSTRACT
Objective: In this study, we aimed to analyze the demographic characteristics, symptoms, and comorbidities of 504 patients hospitalized for COVID-19. We also sought to describe the relationship between these features and intensive care unit (ICU) admission and mortality. Materials and Methods: This study is a descriptive study involving 504 COVID-19 patients hospitalized between 16.03.2020 and 07.05.2020 at Istanbul Universitys' Istanbul Faculty of Medicine Hospital. Information about the patients was obtained from the hospital automation system and evaluated retrospectively. Results: The average age of the 504 patients was 56 +/- 15.14, and 59.1% of them were male. The proportion of the patients admit-ted into ICU 11.9% and for 8.52% of them the disease resulted in death. Real time polymerase chain reaction (RT-PCR) test results were positive for 60.5% of the patients. The median time spent in the hospital was eight days. Fifty six percent of the patients had at least one accompanying comorbid disease, with hyper-tension (39.3%) and diabetes (20.8%) being the most common. Being 65 years old or older (p<0.001), days spent in the hospital (p<0.001), presence of at least one comorbidity (p=0.009), hypertension (p=0.003), coronary artery disease (p=0.004), congestive heart failure (p=0.005) and dyspnea (p<0.001) were all factors found in those admitted to ICU. Conclusion: COVID-19 infection leading to high morbidity-mortality rates and an increased requirement for ICU admission is mainly seen among older patients and those who have dyspnea. During the process of analyzing patients suspected of COVID-19 who are admitted to hospital, it is crucial to consider both the patient's age and any respiratory symptoms. Such a clinical evaluation is crucial for a better understanding of the course of the disease.
ABSTRACT
Objective: In this study, we aimed to analyze the demographic characteristics, symptoms, and comorbidities of 504 patients hospitalized for COVID-19. We also sought to describe the relationship between these features and intensive care unit (ICU) admission and mortality. Materials and Methods: This study is a descriptive study involving 504 COVID-19 patients hospitalized between 16.03.2020 and 07.05.2020 at Istanbul Universitys’ Istanbul Faculty of Medicine Hospital. Information about the patients was obtained from the hospital automation system and evaluated retrospectively. Results: The average age of the 504 patients was 56±15.14, and 59.1% of them were male. The proportion of the patients admitted into ICU 11.9% and for 8.52% of them the disease resulted in death. Real time polymerase chain reaction (RT-PCR) test results were positive for 60.5% of the patients. The median time spent in the hospital was eight days. Fifty six percent of the patients had at least one accompanying comorbid disease, with hypertension (39.3%) and diabetes (20.8%) being the most common. Being 65 years old or older (p<0.001), days spent in the hospital (p<0.001), presence of at least one comorbidity (p=0.009), hypertension (p=0.003), coronary artery disease (p=0.004), congestive heart failure (p=0.005) and dyspnea (p<0.001) were all factors found in those admitted to ICU. Conclusion: COVID-19 infection leading to high morbidity-mortality rates and an increased requirement for ICU admission is mainly seen among older patients and those who have dyspnea. During the process of analyzing patients suspected of COVID-19 who are admitted to hospital, it is crucial to consider both the patient’s age and any respiratory symptoms. Such a clinical evaluation is crucial for a better understanding of the course of the disease. © 2022 Istanbul University Press. All Rights Reserved.
ABSTRACT
Objectives: In many diseases, immature platelet fraction (IPF%) is related to coagulopathy and poor outcome. This study aimed to investigate the predictive value of IPF% for the severity of pneumonia in patients with Coronavirus Disease 2019 (COVID-19). Methods: A total of 154 patients with COVID-19 infections were included. The patients were divided into two groups according to the severity of pneumonia (severe and nonsevere) regarding their oxygen demand. Results: Given laboratory parameters, themedian IPF% was significantly higher in the severe group (11.9 vs. 3.9%, p<0.001). Mean platelet volume (p<0.001), platelet-large cell ratio (p=0.001), platelet distribution width (p=0.001),D-Dimer (p<0.001), INR (p=0.003), and aPTT (p=0.007) were also found to be significantly higher in the severe group.Moreover, IPF (p=0.014, Odds ratio = 2.000, 95%CI: 1.149-3.482) was an independent predictor for the severity. The curve value from receiver operating characteristics was 0.879 (p<0.001, 95%CI: 0.784-0.943) for determining the severity of pneumonia. IPF% had a sensitivity and specificity value of 69.5 and 92.4% to detect the disease's severity. Conclusions: IPF% is an independent predictor for the severity of COVID-19 pneumonia. Assessment of IPF% may both help to early determine high-risk patients with COVID-19 and to alert the physicians.