Nilgün Yılmaz Demirci1, Asiye Uğraş Dikmen2, Cantürk Taşçı3, Deniz Doğan3, Yakup Arslan3, Nesrin Öcal3, Mustafa Taşar4, Uğur Bozlar4, Cumhur Artuk5, Gülden Yılmaz5, Zehra Karacaer5, İsmail Yaşar Avcı5, Günay Tuncer Ertem6, Fatma Şebnem Erdinç6, Sami Kınıklı6, Şerife Altun Demircan6, Elif Ergün7, Pınar Nercis Koşar7, Ayşe Esra Karakoç8, Atila Gökçek9, Melike Aloğlu10, Sevtap Gülgösteren10, Şükran Atikcan10, Şule Akçay11, Çiğdem Erol12, Koray Hekimoğlu13, Mahi Nur Cerit14, Gonca Erbaş14, Hasan Selçuk Özger15, Gülendam Bozdayı16, Esin Şenol15, Ahmet Selim Yurdakul1, Aydın Yılmaz10. 1. Gazi University Medical Faculty Department of Chest Diseases, Ankara, Turkey. 2. Gazi University Medical Faculty Department of Public Health, Ankara, Turkey. 3. University of Health Sciences, Gulhane School of Medicine, Department of Chest Diseases, Ankara, Turkey. 4. University of Health Sciences, Gulhane School of Medicine, Department of Radiology, Ankara, Turkey. 5. University of Health Sciences, Gulhane School of Medicine, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey. 6. University of Health Sciences Ankara Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey. 7. University of Health Sciences Ankara Training and Research Hospital, Department of Radiology, Ankara, Turkey. 8. University of Health Sciences Ankara Training and Research Hospital, Department of Medical Microbiology, Ankara, Turkey. 9. University of Health Sciences Atatürk Chest Diseases, Thoracic Surgery Training and Research Hospital, Department of Radiology, Ankara, Turkey. 10. University of Health Sciences Atatürk Chest Diseases, Thoracic Surgery Training and Research Hospital, Department of Chest Diseases, Ankara, Turkey. 11. Baskent University Medical Faculty Department of Chest Diseases, Ankara, Turkey. 12. Baskent University, Medical Faculty Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey. 13. Baskent University, Medical Faculty Department of Radiology, Ankara, Turkey. 14. Gazi University, Medical Faculty Department of Radiology, Ankara, Turkey. 15. Gazi University, Medical Faculty Department of Infectious Diseases and Clinical Microbiology, Ankara, Turkey. 16. Gazi University, Medical Faculty Department of Medical Microbiology, Division of Medical Virology Ankara, Turkey.
Abstract
AIMS: This study aimed to investigate the clinical and chest computed tomography (CT) features associated with clinical parameters for coronavirus disease (COVID-19) in the capital of Turkey, Ankara. MATERIALS AND METHODS: Epidemiological, clinical features, laboratory findings and radiological characteristics of 1,563 hospitalised patients with COVID-19 in Ankara were collected, reviewed and analysed in this study. The risk factors associated with disease severity were investigated. RESULTS: Non-severe (1,214; 77.7%) and severe cases (349; 22.3%) were enrolled in the study. Compared with the non-severe group, the severe group were significantly older and had more comorbidities (i.e. hypertension, diabetes mellitus, cardiovascular disease and chronic kidney disease). Smoking was more common in the severe group. Severe patients had higher respiratory rates and higher incidences of cough and dyspnea compared to non-severe patients. Compared to the non-severe patients, the severe patients had increased C-reactive protein (CRP), procalcitonin, neutrophil to lymphocyte ratio (NLR) and CRP/albumin ratio and decreased albumin. The occurrence rates of consolidation, subpleural sparing, crazy-paving pattern, cavity, halo sign, reversed halo sign, air bronchogram, pleural thickening, micronodule, subpleural curvilinear line, multilobar and bilateral involvement in the CT finding of the severe patients were significantly higher than those of the non-severe patients. CONCLUSIONS: Many factors are related to the severity of COVID-19, which can help clinicians judge the severity of the patient and evaluate the prognosis. This cohort study revealed that male sex, age (≥55 years), patients with any comorbidities, especially those with cardiovascular disease, dyspnea, increased CRP, D-dimer and NLR, and decreased lymphocyte count and CT findings of consolidation and multilobar involvement were predictors of severe COVID-19. This article is protected by copyright. All rights reserved.
AIMS: This study aimed to investigate the clinical and chest computed tomography (CT) features associated with clinical parameters for coronavirus disease (COVID-19) in the capital of Turkey, Ankara. MATERIALS AND METHODS: Epidemiological, clinical features, laboratory findings and radiological characteristics of 1,563 hospitalised patients with COVID-19 in Ankara were collected, reviewed and analysed in this study. The risk factors associated with disease severity were investigated. RESULTS: Non-severe (1,214; 77.7%) and severe cases (349; 22.3%) were enrolled in the study. Compared with the non-severe group, the severe group were significantly older and had more comorbidities (i.e. hypertension, diabetes mellitus, cardiovascular disease and chronic kidney disease). Smoking was more common in the severe group. Severe patients had higher respiratory rates and higher incidences of cough and dyspnea compared to non-severe patients. Compared to the non-severe patients, the severe patients had increased C-reactive protein (CRP), procalcitonin, neutrophil to lymphocyte ratio (NLR) and CRP/albumin ratio and decreased albumin. The occurrence rates of consolidation, subpleural sparing, crazy-paving pattern, cavity, halo sign, reversed halo sign, air bronchogram, pleural thickening, micronodule, subpleural curvilinear line, multilobar and bilateral involvement in the CT finding of the severe patients were significantly higher than those of the non-severe patients. CONCLUSIONS: Many factors are related to the severity of COVID-19, which can help clinicians judge the severity of the patient and evaluate the prognosis. This cohort study revealed that male sex, age (≥55 years), patients with any comorbidities, especially those with cardiovascular disease, dyspnea, increased CRP, D-dimer and NLR, and decreased lymphocyte count and CT findings of consolidation and multilobar involvement were predictors of severe COVID-19. This article is protected by copyright. All rights reserved.
Authors: Hernán J Zavalaga-Zegarra; Juan J Palomino-Gutierrez; Juan R Ulloque-Badaracco; Melany D Mosquera-Rojas; Enrique A Hernandez-Bustamante; Esteban A Alarcon-Braga; Vicente A Benites-Zapata; Percy Herrera-Añazco; Adrian V Hernandez Journal: Trop Med Infect Dis Date: 2022-08-16