用于预测肺炎相关急性呼吸窘迫综合征 (ARDS) 患者的死亡率的诺莫图
Dong Huang1, Dingxiu He2, Linjing Gong1
1Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Journal of inflammation research
|March 13, 2024
概括
研究人员开发了一种名图,用于预测肺炎相关急性呼吸困扰综合征 (ARDS) 患者的医院死亡率. 该工具识别了关键预测因素,有助于早期风险分层,以获得更好的患者结果.
科学领域:
- 关键护理医学 关键护理医学
- 肺部病理学 肺部病理学
- 生物统计学 生物统计学
背景情况:
- 与肺炎相关的急性呼吸困难综合征 (ARDS) 缺乏对死亡率的具体预测工具.
- 对于这些患者,临床风险分层目前还不清楚.
研究的目的:
- 构建和验证肺炎相关ARDS患者医院死亡率的早期预测模型.
- 开发一个包含死亡率的独立预测指标的名录.
主要方法:
- 一个单一中心的回顾性研究招募了入住ICU的肺炎相关ARDS患者.
- 最小绝对收缩和选择运算符 (LASSO) 和多变量逻辑回归确定了独立的预测因子.
- 建立了一个基于Web的动态名录,并对性能进行了评估.
主要成果:
- 纳米图包括年龄,慢性心血管和呼吸系统疾病,淋巴细胞,白蛋白,肌素,D-二次体,和prokalcitonin.
- 诺米图表表现出良好的预测性能,训练队列中的一致性指数为0.798,测试队列中的一致性指数为0.808.
- 该模型通过各种评估指标显示出强大的差异化,校准和临床效用.
结论:
- 为预测肺炎相关ARDS的死亡率,开发了一种包含8个临床特征的方便的nomogram.
- 在这种患者群体中,名谱为早期风险评估和临床决策提供了宝贵的工具.
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