用于预测社区获得性肺炎患者急性损伤的动态图
Dawei Chen1, Jing Zhao1, Mengqing Ma2
1Department of Nephrology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China.
BMJ open respiratory research
|September 22, 2023
概括
这项研究开发了一种动态图,用于预测社区获得性肺炎 (CAP) 患者的急性损伤 (AKI). 该工具有助于医生识别高风险的CAP患者进行早期干预.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 肺部病理学 肺部病理学
- 临床预测建模临床预测建模
背景情况:
- 急性损伤 (AKI) 是社区获得性肺炎 (CAP) 患者的常见并发症.
- AKI显著恶化了CAP患者的短期和长期结果.
- 目前还没有经过验证的临床工具用于预测CAP患者的AKI.
研究的目的:
- 开发和验证在CAP患者中AKI的预测工具.
- 为个性化AKI风险评估创建一个动态的名录.
- 改进用于CAP管理的临床决策.
主要方法:
- 对2883名成年CAP住院患者的回顾性分析.
- 使用最小绝对收缩和选择操作员 (LASSO) 回归来进行变量选择.
- 通过逻辑回归构建了一个动态名图,通过校准,歧视和决策曲线分析进行评估.
主要成果:
- 在CAP队列中的28.7% (827名患者) 患有AKI.
- 确定了关键预测因素:白蛋白,急性呼吸衰竭,CURB-65评分,cystatin C和白细胞计数.
- 动态名图显示出强大的预测性能 (AUC=0.870) 和良好的临床效用.
结论:
- 成功开发了一种易于使用的动态名谱,用于预测CAP患者的AKI.
- 这个工具可以帮助医生识别患有AKI风险的患者.
- 早期预测有助于及时进行干预,并有可能改善患者的预后.
关键词:
肺炎是一种肺炎.
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