在ICU患者中使用循环炎症指标诊断呼吸机相关肺炎的诺莫图
Jiajia Yang1, Weiyuan Bao2, Hongmei Wang1
1Department of Infection Management, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, People's Republic of China.
这项研究开发了一种使用炎症性血液标志物预测ICU患者呼吸机相关肺炎 (VAP) 的诺莫格拉姆模型. 该模型对早期VAP诊断有希望,有助于临床决策.
科学领域:
- 关键护理医学 关键护理医学
- 传染性疾病 传染性疾病
- 诊断工具 诊断工具 诊断工具
背景情况:
- 呼吸机相关性肺炎 (VAP) 是重症监护室 (ICU) 机械呼吸器患者的重大并发症.
- 早期和准确的VAP诊断对于及时治疗和改善患者结果至关重要.
- 现有的诊断方法在灵敏度或特异性方面可能存在局限性.
研究的目的:
- 构建和验证风险名录模型,用于预测机械通风ICU患者的VAP.
- 确定与VAP发展相关的关键外周血液炎症指标.
- 评估开发的诺莫格拉姆模型的诊断准确性.
主要方法:
- 一个回顾性病例控制研究,涉及55名VAP患者和113名非VAP患者入院于ICU.
- 收集临床数据和外周血液炎症标志物,包括中性细胞与淋巴细胞比率 (NLR),血小板与淋巴细胞比率 (PLR) 和全身炎症反应指数 (SIRI).
- 使用后勤回归开发名录模型,并通过ROC曲线分析评估其诊断性能.
主要成果:
- 低蛋白血症,前素 (PCT),NLR,PLR和SIRI被确定为VAP的独立风险因素.
- 诺米图模型表现出高的诊断准确性,曲线下的面积 (AUC) 为0.894.4.
- 该模型实现了87.3%的灵敏度和74.3%的特异性,具有良好的校准和临床实用性.
结论:
- 低蛋白血症,PCT,NLR,PLR和SIRI是ICU患者中VAP的重要独立风险因素.
- 开发的基于可访问的炎症指标的诺莫格拉姆模型为早期VAP诊断提供了一个有前途的工具.
- 这种诊断模型的常规临床应用需要进一步细化.
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