Department of Nephrology, Hospital Príncipe de Asturias, Alcalá de Henares, Madrid, Spain.
Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Am J Nephrol. 2019;49(2):103-110. doi: 10.1159/000496061. Epub 2019 Jan 9.
Kidney transplantation (KT) candidates often present with multiple comorbidities. These patients also have a substantial burden of frailty, which is also associated with increased mortality. However, it is unknown if frailty is merely a surrogate for comorbidity, itself an independent domain of risk, or if frailty and comorbidity have differential effects. Better understanding the interplay between these 2 constructs will improve clinical decision making in KT candidates.
To test whether comorbidity is equally associated with waitlist mortality among frail and nonfrail KT candidates and to test whether measuring both comorbidity burden and frailty improves mortality risk prediction.
We studied 2,086 candidates on the KT waitlist (November 2009 - October 2017) in a multicenter cohort study, in whom frailty and comorbidity were measured at evaluation. We quantified the association between Charlson comorbidity index (CCI) adapted for end-stage renal disease and waitlist mortality using an adjusted Cox proportional hazards model and tested whether this association differed between frail and nonfrail candidates.
At evaluation, 18.1% of KT candidates were frail and 51% had a high comorbidity burden (CCI score ≥2). Candidates with a high comorbidity burden were at 1.38-fold (95% CI 1.01-1.89) increased risk of waitlist mortality. However, this association differed by frailty status (p for interaction = 0.01): among nonfrail candidates, a high comorbidity burden was associated with a 1.66-fold (95% CI 1.17-2.35) increased mortality risk; among frail candidates, here was no statistically significant association (HR 0.75, 95% CI 0.44-1.29). Adding this interaction between comorbidity and frailty to a mortality risk estimation model significantly improved prediction, increasing the c-statistic from 0.640 to 0.656 (p < 0.001).
Nonfrail candidates with a high comorbidity burden at KT evaluation have an increased risk of waitlist mortality. Importantly, comorbidity is less of a concern in already high-risk patients who are frail.
肾移植(KT)候选者常伴有多种合并症。这些患者还存在明显的虚弱状态,这也与死亡率增加有关。然而,目前尚不清楚虚弱状态是否仅仅是合并症的替代指标,或者虚弱状态和合并症是否具有不同的影响。更好地了解这两种结构之间的相互作用将提高 KT 候选者的临床决策能力。
测试虚弱状态和非虚弱状态的 KT 候选者在等待名单上的死亡率是否与合并症同样相关,并测试同时测量合并症负担和虚弱状态是否能提高死亡率风险预测。
我们在一项多中心队列研究中研究了 2086 名等待 KT 的候选者(2009 年 11 月至 2017 年 10 月),在评估时测量了他们的虚弱状态和合并症。我们使用调整后的 Cox 比例风险模型来量化终末期肾病适应的 Charlson 合并症指数(CCI)与等待名单上的死亡率之间的关联,并测试了这种关联在虚弱状态和非虚弱状态的候选者之间是否不同。
在评估时,18.1%的 KT 候选者为虚弱状态,51%的候选者有高合并症负担(CCI 评分≥2)。有高合并症负担的候选者等待名单上的死亡率增加了 1.38 倍(95% CI 1.01-1.89)。然而,这种关联因虚弱状态而异(交互作用的 p 值=0.01):在非虚弱状态的候选者中,高合并症负担与死亡率增加 1.66 倍(95% CI 1.17-2.35)相关;在虚弱状态的候选者中,没有统计学上显著的关联(HR 0.75,95% CI 0.44-1.29)。将这种合并症和虚弱状态之间的交互作用添加到死亡率风险估计模型中,显著提高了预测能力,将 c 统计量从 0.640 提高到 0.656(p<0.001)。
在 KT 评估时存在高合并症负担的非虚弱状态候选者,等待名单上的死亡率风险增加。重要的是,在已经处于高风险状态的虚弱患者中,合并症的问题不那么严重。