Division of Cardiac Surgery, Department of Surgery, The Johns Hopkins Medical Institutions, Baltimore, MD, USA.
J Thorac Cardiovasc Surg. 2012 Jan;143(1):157-67, 167.e1. doi: 10.1016/j.jtcvs.2011.09.040.
We developed a validated 50-point recipient risk index predicting short-term mortality after orthotopic heart transplant (OHT). This study examined the relationship between institutional volume and recipient risk on post-OHT mortality.
We used United Network for Organ Sharing (UNOS) data to identify primary OHT recipients between January 2000 and April 2010. Centers were stratified by mean annual volume. Preoperative Index for Mortality Prediction After Cardiac Transplantation risk scores were calculated for each patient with our validated 50-point system. Primary outcomes were 30-day and 1-year survivals. Multivariable logistic regression analysis included interaction terms to examine effect modification of risk and volume on mortality.
In all, 18,226 patients underwent transplant at 141 centers: 1173 (6.4%) recipients at low-volume centers (<7 procedures/y), 5353 (29.4%) at medium-volume centers (7-15 procedures/y), and 11,700 (64.2%) at high-volume centers (>15 procedures/y). Low center volume was associated with worse 1-year mortality (odds ratio, 1.58; 95% confidence interval, 1.30-1.92; P < .001). For 1-year survival, there was significant positive interaction between center volume and recipient risk score (odds ratio, 1.04; 95% confidence interval, 1.01-1.07; P = .02), indicating effect of risk on mortality at low-volume centers greater than from either variable analyzed individually. Among high-risk recipients (score ≥10), 1-year survival was improved at high-volume centers (high, 79%; medium, 75%; low, 64%).
In analysis of UNOS data with our validated recipient risk index, institutional volume acted as an effect modifier on association between risk and mortality. High-risk patients had higher mortality at low-volume centers; differences dissipated among lower-risk recipients. These data support a mandate for high-risk transplants at higher-volume centers.
我们开发了一个经过验证的 50 分受体风险指数,用于预测原位心脏移植(OHT)后的短期死亡率。本研究探讨了机构数量与受体风险对 OHT 后死亡率的关系。
我们使用美国器官共享网络(UNOS)的数据,确定了 2000 年 1 月至 2010 年 4 月期间的原发性 OHT 受者。中心按平均年度数量分层。为每位患者计算术前心脏移植后死亡率预测指数(PIM)风险评分,并使用我们验证的 50 分系统。主要结果是 30 天和 1 年的生存率。多变量逻辑回归分析包括交互项,以检验风险和数量对死亡率的影响修饰作用。
共有 18226 名患者在 141 个中心接受移植:1173 名(6.4%)患者在低容量中心(<7 例/年),5353 名(29.4%)在中容量中心(7-15 例/年),11700 名(64.2%)在高容量中心(>15 例/年)。低中心容量与 1 年死亡率较高相关(比值比,1.58;95%置信区间,1.30-1.92;P<.001)。对于 1 年生存率,中心容量和受体风险评分之间存在显著的正交互作用(比值比,1.04;95%置信区间,1.01-1.07;P=.02),表明风险对低容量中心死亡率的影响大于单独分析的任何一个变量。在高风险受者(评分≥10)中,高容量中心的 1 年生存率提高(高,79%;中,75%;低,64%)。
在对 UNOS 数据进行分析时,使用我们验证的受体风险指数,机构数量是风险与死亡率之间关联的一个影响修饰因素。高风险患者在低容量中心的死亡率更高;低风险受者之间的差异消失。这些数据支持高风险移植在高容量中心的要求。