GNRI,PLR和中风相关的肺炎:从协会到开发一个基于Web的动态诺米克图
Chunqing Wang1, Xiaoyao Jiang1, Di Wu1
1Department of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.
Clinical interventions in aging
|November 29, 2023
概括
老年人营养风险指数 (GNRI) 和血小板与淋巴细胞比率 (PLR) 预测急性缺血性中风 (AIS) 患者中风相关性肺炎 (SAP). 动态的诺米图有助于预测SAP风险并指导临床决策.
科学领域:
- 神经学 神经学
- 老年病的医生 老年病的医生
- 传染性疾病 传染性疾病
背景情况:
- 与中风相关的肺炎 (SAP) 是急性缺血性中风 (AIS) 患者的常见并发症,显著增加了发病率和死亡率.
- 确定SAP可靠的预测因子对于及时干预和改善患者结果至关重要.
- 老年营养风险指数 (GNRI) 和血小板与淋巴细胞比率 (PLR) 已成为各种炎症和关键疾病的潜在生物标志物.
研究的目的:
- 调查GNRI和PLR与AIS患者SAP发生的关联.
- 利用这些生物标志物,开发和验证AIS患者SAP风险的预测模型.
- 为临床应用创建一个用户友好的,基于Web的动态名ogram.
主要方法:
- 一组996名AIS患者被追溯分析.
- 患者被分为非SAP和SAP组.
- 通过LASSO和多变量逻辑回归,确定了独立的风险因素. 使用AUC-ROC,校准曲线和DCA.构建和验证了一个动态名图.
主要成果:
- 在AIS患者 (221例) 的22.19%中发生了SAP.
- SAP的独立预测因素包括年龄,NIHSS得分,心房动,消化不良,PLR和GNRI.
- 开发的动态名图表显示出良好的预测能力 (AUC-ROC: 0.864在训练组,0.825在验证组) 和临床实用性.
结论:
- 在AIS患者中,GNRI和PLR是与SAP相关的重要独立因素.
- 经过验证的动态名录图为预测AIS患者的SAP风险提供了有价值的工具.
- 这种预测模型可以帮助临床医生做出决策,并有可能改善患者的预后.
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