Santhanam Jennie, Agarwal S Ankush, Mammen Sarah, K Arun, Athani Aishwarya V, K Subramaniyan, Sundari Meenakshi, Ibrahim Hussain, Nila Uthaya
General Medicine, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Centre, Chengalpattu, IND.
Radiology, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Centre, Chengalpattu, IND.
Cureus. 2022 Dec 26;14(12):e32973. doi: 10.7759/cureus.32973. eCollection 2022 Dec.
Background During the COVID pandemic, high-resolution CT scan has played a pivotal role in detecting lung involvement and severity based on the segments of the lung involved. The pattern of involvement was not considered, and our aim is to observe the pattern of lung involvement in predicting severity and guiding management protocol in patients with COVID-19. Methodology It was a prospective observational study conducted with 151 patients admitted with COVID-19 with a positive reverse transcriptase polymerase chain reaction test (RT-PCR) in a single tertiary care hospital in south India. Patients with pre-existing lung pathologies were excluded from the study. Eligible patients were then divided into mild, moderate, and severe categories based on Indian Council of Medical Research (ICMR) guidelines, and high-resolution computed tomography (HRCT) chest was done, findings of which were then categorized based on lung involvement; into ground glass opacities (GGO), interstitial involvement and mixture of both. These were then analyzed to determine their importance with respect to the duration of stay and severity of the disease. Results The data collected was analyzed by IBM SPSS software version 23.0 (IBM Corp., Armonk, NY, USA). The study population included 114 males (75.5%) and 37 females (24.5%). HRCT chest was done which showed 62.3% of patients had GGO, 14.6% had interstitial lung involvement, 18.5% had a mixture of both and 4.6% had normal lung findings. These findings, when compared to clinical categories of severity, showed a significant co-relation between pattern of involvement of the lung and the severity of the disease. It also showed significant co-relation with the duration of stay. Conclusion HRCT chest has proven to be useful in the determination of patient's severity and can guide with management. We suggest earlier initiation of steroids and anticoagulants in patients with interstitial involvement even for the patients not on oxygen therapy yet. It can be used as a triage modality for screening due to the advantage of presenting with immediate results as opposed to RT-PCR which might take hours and can delay treatment which can prevent worsening.
背景 在新冠疫情期间,高分辨率CT扫描在根据肺部受累节段检测肺部受累情况及严重程度方面发挥了关键作用。未考虑受累模式,我们的目的是观察肺部受累模式在预测新冠患者严重程度及指导管理方案方面的作用。
方法 这是一项前瞻性观察性研究,在印度南部一家三级医疗中心对151例新冠病毒逆转录聚合酶链反应检测(RT-PCR)呈阳性的新冠患者进行了研究。有既往肺部疾病的患者被排除在研究之外。符合条件的患者随后根据印度医学研究理事会(ICMR)指南分为轻症、中症和重症三类,并进行了胸部高分辨率计算机断层扫描(HRCT),然后根据肺部受累情况对结果进行分类,分为磨玻璃影(GGO)、间质受累及两者混合。然后对这些情况进行分析,以确定它们在住院时间和疾病严重程度方面的重要性。
结果 收集的数据由IBM SPSS软件版本23.0(美国纽约州阿蒙克市IBM公司)进行分析。研究人群包括114名男性(75.5%)和37名女性(24.5%)。进行了胸部HRCT检查,结果显示62.3%的患者有磨玻璃影,14.6%的患者有间质性肺受累,18.5%的患者两者混合,4.6%的患者肺部检查结果正常。与临床严重程度类别相比,这些结果表明肺部受累模式与疾病严重程度之间存在显著相关性。它还与住院时间存在显著相关性。
结论 胸部HRCT已被证明在确定患者严重程度方面有用,并可指导治疗管理。我们建议,即使对于尚未接受氧疗的间质性受累患者,也应尽早开始使用类固醇和抗凝剂。由于与RT-PCR相比,它具有能立即给出结果的优势,可避免可能需要数小时且会延迟治疗从而防止病情恶化,因此可作为一种分诊方式用于筛查。