开发和验证一个基于名录的模型,用于预测冠状动脉旁路移植与心肺旁路移植后的术后肺并发症
Ying Ji1, Jingjing Liu2, Tao Shan1
1Department of Anesthesiology, Perioperative and Pain Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210001 China.
Indian journal of thoracic and cardiovascular surgery
|September 23, 2025
概括
一种新型的诺米图准确地预测了冠状动脉旁路移植 (CABG) 以心肺旁路移植 (CPB) 后的术后肺部并发症 (PPCs). 该工具帮助临床医生进行快速,客观的风险评估,以更好地管理患者.
科学领域:
- 心脏病学 心脏病学
- 胸部外科手术 胸部外科手术
- 医疗信息学 医疗信息学
背景情况:
- 接受冠状动脉旁路移植 (CABG) 与心肺旁路移植 (CPB) 的患者面临高风险的术后肺并发症 (PPCs).
- 准确预测PPC对于有效的术后管理和患者的治疗结果至关重要.
研究的目的:
- 开发和验证PPC的临床预测模型,用于与CPB一起接受CABG的患者.
- 为快速风险评估创建一个用户友好的名录.
主要方法:
- 一组849名患者被随机分配到训练 (n=594) 和验证 (n=255) 组.
- 最小绝对收缩和选择运算符 (LASSO) 回归确定了预测变量,集成到一个多变量后勤回归模型和一个名ogram.
- 模型的性能使用歧视 (AUC),校准 (校准曲线,Emax,Eavg) 和临床效用 (决策曲线分析) 来评估.
主要成果:
- 确定了五个关键预测因素:年龄,吸烟史,糖尿病,紧急手术和麻醉持续时间.
- 该模型表现出极好的预测性能,在训练组中AUC为0.902,在验证组中为0.864.
- 校准分析证实预测和观察结果之间有很好的一致性,可靠性测试中的P值不显著.
结论:
- 一个原始的诺姆图有效地预测了CPB的CABG后的PPC.
- 诺基图为临床医生提供了一个客观的工具,用于术前风险评估和术后决策.
- 这促进了知情同意讨论和个性化的患者管理策略.
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