一个基于淋巴细胞子集的预测模型,用于免疫能力强的患者中耐火性社区性肺炎的预测模型
Jingyuan Zhang1, Xinyu Hu1, Ailifeila Aili1
1Department of Respiratory and Critical Care Medicine, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Diagnostics (Basel, Switzerland)
|July 12, 2025
概括
在免疫能力强的患者中,耐药性社区获得性肺炎 (r-CAP) 与特定的免疫细胞变化和临床因素有关. 识别这些风险因素,如增加的CD4+ T,CD8+ T和DNT淋巴细胞,有助于更好地管理r-CAP.
科学领域:
- 免疫学 免疫学 免疫学
- 传染性疾病 传染性疾病
- 肺部病理学 肺部病理学
背景情况:
- 社区获得的耐火性肺炎 (r-CAP) 构成了重大的临床挑战,特别是在COVID-19后免疫能力强的个体中.
- 了解r-CAP的风险因素对于改善患者的治疗结果和治疗策略至关重要.
研究的目的:
- 在免疫能力较强的患者中确定与耐火性社区获得性肺炎 (r-CAP) 相关的独立风险因素.
- 通过确定临床和免疫学指标,开发r-CAP的预测模型.
主要方法:
- 一个单一中心的回顾性研究比较了82名r-CAP患者和82名一般CAP (g-CAP) 患者.
- 分析了临床数据,周围血液细胞计数,淋巴细胞子集和实验室指标.
- 单变量和多变量逻辑回归分析确定了独立的风险因素;使用ROC曲线分析验证了一个预测模型.
主要成果:
- 对r-CAP的独立风险因素包括温暖的季节,慢性阻塞性肺病史,从发病到入院的时间较长,以及CD4+ T,CD8+ T和双阴性T (DNT) 淋巴细胞的升高.
- 高水平的C-反应蛋白 (CRP),低密度脂蛋白胆固醇 (LDL-C),血清 (Na+) 和自由 (FCa2+) 也是危险因素.
- T淋巴细胞百分比和总胆固醇 (TC) 被确定为保护因素;一个联合预测模型显示高灵敏度和特异性 (AUC = 0.8711).
结论:
- 增加的CD4+ T,CD8+ T和DNT淋巴细胞百分比,以及特定的临床和实验室标记,与耐火性CAP有关.
- 通过T淋巴细胞计数表明的整体细胞免疫力受损是r-CAP患者的特征.
- 较高的总胆固醇水平可能有利于肺炎的恢复.
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