Suppr超能文献

新型冠状病毒肺炎的肺部受累模式:来自印度南部一家三级护理中心的CT扫描见解及预后意义

Lung Involvement Patterns in COVID-19: CT Scan Insights and Prognostic Implications From a Tertiary Care Center in Southern India.

作者信息

Balasubramaniam Suhasini, Raju Bharathi Priya, Perumpallipatty Kumarasamy Sowmya, Ramasubramanian Swaminathan, Srinivasan Amitesh Krishna, Gopinath Ishwar, Shanmugam Kamakshi, Kumar Aravind S, Visakan Sivasakthi Varun, Srinivasan Srinidhi

机构信息

Radiodiagnosis, Government Stanley Medical College and Hospital, Chennai, IND.

Radiodiagnosis, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.

出版信息

Cureus. 2024 Jan 31;16(1):e53335. doi: 10.7759/cureus.53335. eCollection 2024 Jan.

Abstract

Background COVID-19, caused by the SARS-CoV-2 virus, has presented an unparalleled challenge and a profound learning curve globally. Among the myriad of investigative tools, CT scans of the chest have become instrumental in assessing the magnitude of lung involvement in the pathogenesis of this disease. Objectives This study aimed to evaluate the distribution and patterns of lung involvement depicted in the CT chest scans of COVID-19 patients admitted to a specialized tertiary care center located in a southern state of India. Methods With clearance secured from the Institutional Ethics Committee, an analytical cross-sectional study was conducted. It encompassed CT chest images from all symptomatic COVID-19 patients within the designated study center during the specified study timeline. Subsequent data analysis ensued. Results Among the 1066 COVID-19 patients evaluated, ground-glass opacities (GGO) were the predominant lung involvement pattern. Distinct patterns, such as GGOs combined with solid consolidation or atelectasis, were noted, with the highest mortality linked to GGOs paired with pneumomediastinum (PM). Data underscored a direct correlation between the extent of lung involvement and patient prognosis, with specific lung regions, namely the right apical, right posterior, right superior basal, left superior lingular, and left inferior lingular segments, showing frequent involvement. Conclusion Amidst the pandemic, our study emphasizes that ground-glass opacities on CT scans are robust indicators of COVID-19 in RT-PCR-positive patients. Early identification can enhance patient management, with findings highlighting a strong link between lung involvement and prognosis. This insight aids in refining patient triage, while further research is warranted to delve deeper into variations in lung involvement and guide treatment advancements.

摘要

背景 由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒引起的2019冠状病毒病(COVID-19)在全球范围内带来了前所未有的挑战和深刻的经验教训。在众多的调查工具中,胸部CT扫描已成为评估该疾病发病机制中肺部受累程度的重要手段。目的 本研究旨在评估印度南部一个邦的一家专业三级护理中心收治的COVID-19患者胸部CT扫描中肺部受累的分布和模式。方法 在获得机构伦理委员会批准后,进行了一项分析性横断面研究。该研究涵盖了指定研究中心在特定研究时间范围内所有有症状的COVID-19患者的胸部CT图像。随后进行数据分析。结果 在评估的1066例COVID-19患者中,磨玻璃影(GGO)是主要的肺部受累模式。观察到了不同的模式,如GGO合并实变或肺不张,其中与纵隔气肿(PM)相关的GGO死亡率最高。数据强调了肺部受累程度与患者预后之间的直接相关性,特定的肺区域,即右尖段、右后段、右上基底段、左上舌段和左下舌段,受累频繁。结论 在疫情期间,我们的研究强调CT扫描中的磨玻璃影是RT-PCR阳性患者COVID-19的有力指标。早期识别可加强患者管理,研究结果突出了肺部受累与预后之间的紧密联系。这一见解有助于优化患者分诊,同时有必要进一步开展研究,深入探讨肺部受累的差异并指导治疗进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6690/10907113/b3cf0cd368bf/cureus-0016-00000053335-i01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验