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风险分析指数的重新校准和外部验证:一种手术脆弱性评估工具。

Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty Assessment Tool.

机构信息

Division of Vascular Surgery, Stanford University School of Medicine, Stanford, CA.

Center for Innovation to Implementation, VA Palo Alto Healthcare System, Palo Alto, CA.

出版信息

Ann Surg. 2020 Dec;272(6):996-1005. doi: 10.1097/SLA.0000000000003276.

Abstract

OBJECTIVE AND BACKGROUND

The Risk Analysis Index (RAI) predicts 30-, 180-, and 365-day mortality based on variables constitutive of frailty. Initially validated, in a single-center Veteran hospital, we sought to improve model performance by recalibrating the RAI in a large, veteran surgical registry, and to externally validate it in both a national surgical registry and a cohort of surgical patients for whom RAI was measured prospectively before surgery.

METHODS

The RAI was recalibrated among development and confirmation samples within the Veterans Affairs Surgical Quality Improvement Program (VASQIP; 2010-2014; N = 480,731) including major, elective noncardiac surgery patients to create the revised RAI (RAI-rev), comparing discrimination and calibration. The model was tested externally in the American College of Surgeons National Surgical Quality Improvement Program dataset (NSQIP; 2005-2014; N = 1,391,785), and in a prospectively collected cohort from the Nebraska Western Iowa Health Care System VA (NWIHCS; N = 6,856).

RESULTS

Recalibrating the RAI significantly improved discrimination for 30-day [c = 0.84-0.86], 180-day [c = 0.81-0.84], and 365-day mortality [c = 0.78-0.82] (P < 0.001 for all) in VASQIP. The RAI-rev also had markedly better calibration (median absolute difference between observed and predicted 180-day mortality: decreased from 8.45% to 1.23%). RAI-rev was highly predictive of 30-day mortality (c = 0.87) in external validation with excellent calibration (median absolute difference between observed and predicted 30-day mortality: 0.6%). The discrimination was highly robust in men (c = 0.85) and women (c = 0.89). Discrimination also improved in the prospectively measured cohort from NWIHCS for 180-day mortality [c = 0.77 to 0.80] (P < 0.001).

CONCLUSIONS

The RAI-rev has improved discrimination and calibration as a frailty-screening tool in surgical patients. It has robust external validity in men and women across a wide range of surgical settings and available for immediate implementation for risk assessment and counseling in preoperative patients.

摘要

目的和背景

风险分析指数(RAI)根据构成脆弱性的变量预测 30 天、180 天和 365 天的死亡率。最初在一家退伍军人单中心医院进行了验证,我们试图通过在退伍军人事务部手术质量改进计划(VASQIP;2010-2014 年)中的大型退伍军人手术登记处重新校准 RAI 来提高模型性能,并在全国手术登记处和前瞻性测量手术前 RAI 的手术患者队列中对其进行外部验证。

方法

在 Veterans Affairs Surgical Quality Improvement Program(VASQIP;2010-2014 年)的开发和验证样本中重新校准 RAI,包括主要的、择期非心脏手术患者,以创建修订后的 RAI(RAI-rev),比较其区分度和校准度。该模型在 American College of Surgeons National Surgical Quality Improvement Program 数据集(NSQIP;2005-2014 年)中进行了外部测试,并在 Nebraska Western Iowa Health Care System VA(NWIHCS;6856 名)前瞻性收集的队列中进行了测试。

结果

重新校准 RAI 显著提高了 VASQIP 中 30 天(c = 0.84-0.86)、180 天(c = 0.81-0.84)和 365 天死亡率(c = 0.78-0.82)的区分度(所有 P < 0.001)。RAI-rev 的校准也明显更好(观察到的 180 天死亡率和预测死亡率之间的中位数绝对差异:从 8.45%下降到 1.23%)。RAI-rev 在外部验证中对 30 天死亡率具有高度预测性(c = 0.87),且校准度极佳(观察到的 30 天死亡率和预测死亡率之间的中位数绝对差异:0.6%)。该区分度在男性(c = 0.85)和女性(c = 0.89)中均高度稳健。在 NWIHCS 的前瞻性测量队列中,180 天死亡率的区分度也有所提高[c = 0.77 至 0.80](P < 0.001)。

结论

RAI-rev 作为一种用于手术患者的脆弱性筛查工具,其区分度和校准度得到了改善。它在广泛的手术环境中具有强大的外部有效性,适用于男性和女性,并且可立即用于术前患者的风险评估和咨询。

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