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针对局部癌的脏切除术后功能衰竭的预测模型:癌风险方程
Oksana Harasemiw1, Jasmir G Nayak2, Nicholas Grubic3
1Chronic Disease Innovation Centre, Seven Oaks General Hospital, University of Manitoba, Winnipeg, Manitoba; Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba.
概括
一个新的预测方程有助于识别患有局部癌脏切除术后功能衰竭风险的患者. 这种工具有助于在手术前讨论关于功能衰竭风险,改善以患者为中心的护理.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 在瘤学瘤学.
- 流行病学 流行病学
背景情况:
- 切除术是局部癌的主要治疗方法,但存在功能丧失的风险.
- 目前,没有临床工具可以在术前预测经过切除术后的长期功能衰竭风险.
- 由于癌而接受切除术的患者面临着关于未来功能的不确定性.
研究的目的:
- 在局部癌患者中开发和验证脏切除术后功能衰竭风险的预测方程.
- 为手术前风险评估和患者咨询提供临床工具.
- 改善考虑癌手术的患者的知情决策.
主要方法:
- 一项人口层面的队列研究,涉及来自曼尼托巴和加拿大安大略省的局部癌成年人.
- 使用考克斯比例危险回归模型开发和验证预测方程.
- 包括经过瘤切除术前和后估计的膜过率 (eGFR) 和其他临床预测指标.
主要成果:
- 开发的预测模型在开发 (AUC 0.85) 和验证 (AUC 0.86) 队列中都表现出很强的准确性.
- 发育队列中的10.3%的患者达到功能衰竭的主要结果 (透析,移植或eGFR<15mL/min/1.73m2).
- 该模型在5年的随访期内有效预测功能衰竭风险.
结论:
- 现在可以在临床实践中使用经过切除术后功能衰竭的外部验证的预测方程.
- 这种工具可以促进关于个性化功能衰竭风险的手术前讨论.
- 该方程支持基于风险的护理和以患者为中心的决策,用于局部癌治疗.
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