Makale detayı · 2021
Clinical and Radiological Characteristics of COVID-19 Patients: A Single Center Experience in Eskişehir
Dergi
Eskisehir Medical Journal, Eskisehir City HospitalISSN 2718-0948
- Yıl
- 2021
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Eskisehir Medical Journal, Eskisehir City Hospital
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
İngilizce (OpenAlex)
Introduction:The novel coronavirus disease 2019 (COVID-19) has caused a worldwide pandemic.COVID-19 has a wide range of clinical manifestations.Patients over the age of 65 who have comorbidities are more vulnerable to severe disease.This study aims to characterize the clinical, laboratory, and imaging features of the disease.Methods: This study was conducted in Eskisehir City Hospital, Turkey.Medical records of 435 patients with confirmed COVID-19 between 15 April 2020, and 15 June 2020, were analyzed retrospectively.The patients were divided into three groups according to age: <18 years old, 18 to 64 years old, and ≥65 years old.The clinical, laboratory, and radiological data of these groups were compared.Results: Of the 435 patients, the mean age was 35.5 years and 59.5% were male.The overall death rate was 3.4% in hospitalized patients, but among elderly patients a higher rate was noted (%23, p<0.001).The most frequent symptoms were cough (61.8%) and fever (54%).Elderly patient had significantly higher d-dimer and lower lymphocyte levels.Thorax computarized tomographies (CT) were abnormal in 184 patients.Most common features of COVID-19 on CT included bilateral multilobar groundglass opafications (GGO) with a peripheral distribution mainly in the lower lobes.Conclusion: COVID-19 places a significant burden on healthcare facilities, particularly in elderly patients.Older COVID-19 patients had distinct clinical, laboratory and radiological features.We confirm that cough and fever are the most frequent clinical symptoms, lymphopenia and high d-dimer levels are common laboratory findings and, thorax CT is a helpful tool for evaluation of the COVID-19 pneumonia.As the pandemic continues with new coronavirus variants that could cause more reinfections studies like this should be repeated in the future.
Konular
- COVID-19 diagnosis using AI
- COVID-19 and healthcare impacts
- Radiomics and Machine Learning in Medical Imaging
Birincil konu COVID-19 diagnosis using AI