一个模型,用于预测心脏手术后心脏手术后的AKI中的术后持续性急性损伤 (AKI) 患者的基线正常功能
Yuanhan Chen1, Zhiming Mo1, Hong Chu2
1Department of Nephrology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Clinical cardiology
|October 8, 2023
概括
一个新的模型可以预测心脏手术后常见的急性损伤 (AKI) 在正常基线功能患者. 这种工具有助于早期识别和量身定制的治疗策略,以获得更好的患者结果.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 心脏病学 心脏病学
- 外科手术的结果
背景情况:
- 心脏手术后的持续急性损伤 (AKI) 是一个重大的临床挑战,与患者不良结果相关.
- 接受心脏手术的基线正常功能患者仍有发展AKI的风险.
研究的目的:
- 开发和验证心脏手术后正常基线功能患者持续性AKI的预测模型.
- 确定与持续性AKI发展相关的关键临床和实验室变量.
主要方法:
- 在心脏手术后经历了AKI的5368名基线正常功能患者的回顾性分析.
- 在训练组 (3768名患者) 上使用后勤回归和最小绝对收缩和选择操作员 (LASSO) 回归的预测模型的开发.
- 在单独的患者队列上验证模型.
主要成果:
- 在发育组中,持续性AKI的发病率为50.6%.
- 开发了一个由9个变量组成的模型,包括年龄,高血压,糖尿病,冠状动脉心脏病,心肺绕道时间,初始AKI阶段,术后血清含量低,持续的机械通风和大动脉内气球的使用.
- 该模型在验证组中表现出良好的预测性能 (AUC=0.761) 和临床效用.
结论:
- 一个可行的模型存在,可以识别心脏手术后患有持续性AKI高风险的患者.
- 这种预测工具可以帮助患者分层,并制定个性化的治疗策略.
- 早期识别持续性AKI可能会改善心脏手术风险患者的管理和结果.
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