目的与3.0 T MRI对比,研究320排动态容积CT及超声心动图(2-dimension echocardiography,2DE)评价左心室功能的准确性。方法选取临床怀疑左心室功能异常的患者64例,在1周内完成320排动态容积CT、3.0 T MRI及2DE 3种影像学检查,对比分析不同检查方法所获得的左心室功能参数:包括射血分数(EF)、舒张末期容积(EDV)、收缩末期容积(ESV)及每搏输出量(SV)。结果 3种影像学检查方法获得的SV值差异无统计学意义(F=0.861,P=0.424);而EF、EDV及ESV值差异均有统计学意义(分别为:F=3.406,P=0.035;F=4.647,P=0.011;F=5.235,P=0.006)。进一步两两对比3种检查方法间的EF、EDV及ESV值:320排CT与3.0 T MRI间的差异均无统计学意义(分别为:P=0.829,P=0.804,P=0.665);320排CT与2DE间的差异均有统计学意义(分别为:P=0.019,P=0.006,P=0.003);2DE与3.0 T MRI间的差异亦均有显著性(分别为:P=0.033,P=0.013,P=0.011)。结论 320排动态容积CT可以准确描述左心室功能,并能较超声心动图更准确地反映左心室功能参数,具有更高的临床应用价值。
目的:探讨Omicron变异株感染的新型冠状病毒肺炎(COVID-19)患者继发新冠病毒后肺纤维化(PCPF)的危险因素,为早期识别高风险患者和制定个性化干预策略提供依据。方法:回顾性分析2022年11月至2023年12月期间重庆医科大学附属第二医院137例Omicron变异株感染的COVID-19患者。系统收集患者的基本信息、临床特征、实验室指标(包括C反应蛋白、白细胞介素-6等)、新型免疫–炎症指标(C反应蛋白与淋巴细胞比值、中性粒细胞与血小板比值、系统性免疫炎症指数、系统性炎症反应指数、预后营养指数)以及胸部CT影像学表现。通过单因素分析和多因素Logistic回归分析筛选与PCPF相关的危险因素。结果:单因素分析显示,7个指标与PCPF显著相关(P 0.05)。结论:IL-6和PNI是Omicron感染患者继发PCPF的独立危险因素,提示炎症反应和营养免疫状态在PCPF的发生发展中起关键作用,早期识别这些危险因素有助于制定个性化干预策略。Objective: To explore the risk factors for post-COVID-19 pulmonary fibrosis (PCPF) in patients infected with the Omicron variant of COVID-19, and to provide a basis for early identification of high-risk patients and the development of personalized intervention strategies. Methods: A retrospective analysis was conducted on the data of 137 Omicron-infected patients from November 2022 to December 2023. Clinical data, laboratory indicators (including CRP, IL-6, etc.), novel immune-inflammatory markers (CLR, NPR, SII, SIRI, PNI), and CT imaging findings were collected. Univariate and multivariate logistic regression analyses were performed to identify risk factors associated with PCPF. Results: Univariate analysis showed that CRP, IL-6, CLR, NPR, SII, SIRI, and PNI were significantly associated with PCPF (P 0.05). Conclusion: IL-6 and PNI are independent risk factors for PCPF in Omicron-infected patients, suggesting that inflammatory responses and nutritional immune status play critical