Değirmenci Ceren, Şahin Kalkan Göksu, Ertürk Hakan, Ergün Pınar
Clinic of Pulmonology, Ankara Atatürk Sanatorium Training and Research Hospital, Ankara, Türkiye
Clinic of Radiology, Ankara Atatürk Sanatorium Training and Research Hospital, Ankara, Türkiye
Thorac Res Pract. 2025 Apr 30;26(3):125-131. doi: 10.4274/ThoracResPract.2025.24067. Epub 2025 Jan 23.
Our study aims to quantify post-Coronavirus disease-2019 (COVID-19) pneumonia-related pulmonary fibrosis using high resolution computed tomography (HRCT) scoring and assess its correlation with clinical parameters, lymphocytes, mean platelet volume (MPV), and lymphocyte/monocyte ratio (LMR). Early detection and understanding of fibrosis progression in patient subsets are essential for enhancing post-COVID-19 patient outcomes.
This retrospective, single-center study aims to quantify post-COVID-19 pneumonia pulmonary fibrosis using HRCT scoring and explore its associations with clinical parameters, lymphocytes, MPV, and LMR. From March 1, 2020, to December 31, 2021, HRCT reports of patients diagnosed with COVID-19 within 14 days of symptom onset were reviewed. Those with COVID-19 pneumonia were identified, and subsequent HRCTs performed 2 months or later post-infection were analyzed for fibrosis. Data on demographics, hospitalization details, and laboratory findings were collected. Fibrosis scores were determined using quantitative HRCT.
A total of 133 patients (60.2% male, mean age 57.3) were included. Of these patients, 50.4% were hospitalized. Quantitative HRCT analysis indicated average fibrosis of 2.7% (range: 0.9-28.7%). Lower lymphocyte counts correlated significantly with increased fibrosis ( = 0.002). No significant correlations were found between fibrosis development and hospitalization duration, age, or gender.
This study underscores the importance of monitoring lymphocyte counts in COVID-19 patients for early detection of pulmonary fibrosis. The findings suggest a need for screening and prompt diagnosis of fibrosis post-COVID-19, particularly in patients with lymphopenia. Further research using quantitative HRCT could enhance understanding and management of progressive interstitial lung diseases, especially in the context of future pandemics.
我们的研究旨在使用高分辨率计算机断层扫描(HRCT)评分对2019冠状病毒病(COVID-19)后肺炎相关的肺纤维化进行量化,并评估其与临床参数、淋巴细胞、平均血小板体积(MPV)和淋巴细胞/单核细胞比率(LMR)的相关性。早期发现并了解患者亚组中的纤维化进展对于改善COVID-19患者的预后至关重要。
这项回顾性单中心研究旨在使用HRCT评分对COVID-19后肺炎肺纤维化进行量化,并探讨其与临床参数、淋巴细胞、MPV和LMR的关联。回顾了2020年3月1日至2021年12月31日期间症状出现后14天内被诊断为COVID-19的患者的HRCT报告。确定患有COVID-19肺炎的患者,并对感染后2个月或更晚进行的后续HRCT进行纤维化分析。收集了人口统计学、住院细节和实验室检查结果的数据。使用定量HRCT确定纤维化评分。
共纳入133例患者(男性占60.2%,平均年龄57.3岁)。其中,50.4%的患者住院治疗。定量HRCT分析表明平均纤维化率为2.7%(范围:0.9 - 28.7%)。较低的淋巴细胞计数与纤维化增加显著相关( = 0.002)。未发现纤维化发展与住院时间、年龄或性别之间存在显著相关性。
本研究强调了监测COVID-19患者淋巴细胞计数以早期发现肺纤维化的重要性。研究结果表明需要对COVID-19后纤维化进行筛查和及时诊断,特别是在淋巴细胞减少的患者中。使用定量HRCT的进一步研究可以加强对进行性间质性肺疾病的理解和管理,特别是在未来大流行的背景下。