多变量预测心脏手术后发生的功能衰竭
Jeremiah R Brown1, Richard P Cochran, Bruce J Leavitt
1Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Lebanon, NH 03756, USA. Jeremiah.R.Brown@Dartmouth.edu
Circulation
|September 14, 2007
概括
手术前的患者因素可以预测冠状动脉旁路移植 (CABG) 手术后的严重功能不全. 这有助于识别高风险个体,以潜在地减少不良结果和死亡率.
科学领域:
- 心脏病学 心脏病学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 手术结果研究研究.
背景情况:
- 冠状动脉旁路移植 (CABG) 手术后的功能衰竭与更高的死亡率有关.
- 在手术前预测这种风险对于患者管理至关重要.
研究的目的:
- 开发和验证严重的术后功能衰竭的预测模型.
- 确定与这种风险相关的关键手术前患者特征.
主要方法:
- 分析了8363名接受隔离CABG的患者的前性数据.
- 一个多变量逻辑回归模型被用来识别预测因素.
- 模型的性能使用C-Index (ROC下的面积) 和Hosmer-Lemeshow统计数据进行评估.
主要成果:
- 3%的术前功能正常的患者患有严重的功能衰竭.
- 关键预测因素包括年龄,性别,白细胞数量升高,先前的CABG,心力衰竭,外周血管疾病,糖尿病,高血压和内气球的使用.
- 预测模型表现出良好的区分 (ROC 0.72) 和校准.
结论:
- 制定了一个强大的预测规则,以识别高风险患者.
- 这种工具可以帮助临床医生管理患有正常手术前功能的患者.
- 早期识别可能允许进行干预,以减轻不良结果和死亡率.
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