Clinical Research Unit, Division of Cardiothoracic Surgery, Emory University School of Medicine, Atlanta, Georgia 30308, USA.
Ann Thorac Surg. 2012 Jan;93(1):26-33; discussion 33-5. doi: 10.1016/j.athoracsur.2011.07.086. Epub 2011 Oct 13.
The Society of Thoracic Surgeons Predicted Risk of Mortality (PROM) score is a well-validated predictor of 30-day mortality after cardiac procedures. This study investigated the ability of PROM to predict longer-term survival.
From January 1, 1996, to December 31, 2009, 24,222 patients with PROM scores underwent cardiac procedures at an academic center. Long-term all-cause mortality was determined from the Social Security Death Index. Logistic and Cox survival regression analyses evaluated the long-term predictive utility of the PROM. Area under the receiver operator characteristic curve measured the discrimination of PROM at 1, 3, 5, and 10 years. Kaplan-Meier curves were stratified by quartiles of PROM risk to compare long-term survival. All analyses were performed for the whole sample and for 30-day survivors.
The overall 30-day mortality was 2.78% (674 of 24,222). PROM predicted 30-day mortality extremely well (area under the receiver operator characteristic, 0.794) and predicted longer-term survival almost as well. Among all patients and 30-day survivors, area under the receiver operator characteristic values for PROM at 1, 3, 5, and 10 years were remarkably similar to the 30-day end point for which PROM is calibrated. PROM was highly predictive of Kaplan-Meier survival for patients surviving beyond 30 days. Among 30-day survivors, each percent increase in PROM score was associated with a 9.6% increase (95% confidence interval, 9.3% to 10.0%) in instantaneous hazard of death (p<0.001).
The PROM algorithm accurately predicts death at 30-days and during 14 years of follow-up with almost equally strong discriminatory power. This may have profound implications for informed consent and for longitudinal comparative effectiveness studies.
胸外科医师学会预测死亡率(PROM)评分是心脏手术后 30 天死亡率的有效预测指标。本研究旨在探讨 PROM 预测长期生存的能力。
1996 年 1 月 1 日至 2009 年 12 月 31 日,在学术中心接受 PROM 评分的 24222 例患者接受了心脏手术。通过社会保障死亡指数确定长期全因死亡率。逻辑和 Cox 生存回归分析评估了 PROM 的长期预测效用。接受者操作特征曲线下面积(AUC)测量了 PROM 在 1、3、5 和 10 年时的区分度。Kaplan-Meier 曲线按 PROM 风险的四分位数分层,以比较长期生存。所有分析均针对整个样本和 30 天幸存者进行。
总体 30 天死亡率为 2.78%(24222 例中的 674 例)。PROM 对 30 天死亡率的预测效果极佳(AUC 为 0.794),对长期生存的预测效果也几乎相同。在所有患者和 30 天幸存者中,PROM 在 1、3、5 和 10 年的 AUC 值与 PROM 校准的 30 天终点非常相似。对于 30 天存活的患者,PROM 对 Kaplan-Meier 生存具有高度预测性。在 30 天幸存者中,PROM 评分每增加 1%,即时死亡风险增加 9.6%(95%置信区间,9.3%至 10.0%)(p<0.001)。
PROM 算法可准确预测 30 天内和 14 年随访期间的死亡情况,其区分能力几乎相同。这可能对知情同意和纵向比较有效性研究具有深远影响。