Yaltırık Bilgin Ezel, Bilgin Erkan, Fidan Hatice, Çelenk Yıldıray, Tok Tuğba
Department of Radiology, Ereğli State Hospital, Zonguldak, Turkey.
Department of Anaesthesia and Intensive Care, Ereğli State Hospital, Zonguldak, Turkey.
Turk J Anaesthesiol Reanim. 2022 Aug;50(4):274-281. doi: 10.5152/TJAR.2021.21175.
The primary objective of our study was to evaluate the predictive performance of serum inflammatory markers and the semiquantitative computed tomography severity scoring system on diagnosing the Covid 2019 disease and its course.
Our study is a single-center retrospective cohort study. The data of 213 adults who were confirmed to have coronavirus disease 2019 by polymerase chain reaction tests in the period between April 2020 and August 2020 were evaluated. One hundred eighty four of these patients whose C-reactive protein, d-dimer, and ferritin levels, lymphocyte counts, and thoracic computed tomography images were obtained at the time of admission were included in the study. The semi-quantitative computed tomography severity score was calculated for all patients.
The median age of the 184 patients included in the study was 51.5 (19-91) years. The incidence of intensive care need and mortality was 10.3% (n=19) and 5.4% (n=10), respectively. The intensive care need and mortality rate was significantly correlated with higher thoracic computed tomography involvement scores at admission. There was a statistically significant and positive correlation between the computed tomography scores and the C-reactive protein, d-dimer, and ferritin levels. Older age (>65 years-old) and thoracic computed tomography scores of 11 and higher were independent factors correlated with need for intensive care.
Serum inflammatory markers and semi-quantitative computed tomography severity scoring system were predictive in diagnosing the Covid 2019 disease and its course.
本研究的主要目的是评估血清炎症标志物和半定量计算机断层扫描严重程度评分系统对诊断2019冠状病毒病及其病程的预测性能。
本研究是一项单中心回顾性队列研究。对2020年4月至2020年8月期间通过聚合酶链反应检测确诊为2019冠状病毒病的213名成年人的数据进行了评估。其中184名患者在入院时获得了C反应蛋白、D-二聚体、铁蛋白水平、淋巴细胞计数和胸部计算机断层扫描图像，并纳入研究。计算所有患者的半定量计算机断层扫描严重程度评分。
纳入研究的184名患者的中位年龄为51.5（19-91）岁。重症监护需求和死亡率分别为10.3%（n=19）和5.4%（n=10）。入院时重症监护需求和死亡率与较高的胸部计算机断层扫描受累评分显著相关。计算机断层扫描评分与C反应蛋白、D-二聚体和铁蛋白水平之间存在统计学上显著的正相关。年龄较大（>65岁）和胸部计算机断层扫描评分为11分及以上是与重症监护需求相关的独立因素。
血清炎症标志物和半定量计算机断层扫描严重程度评分系统对诊断2019冠状病毒病及其病程具有预测作用。
