Lai Jennifer C, Covinsky Kenneth E, Hayssen Hilary, Lizaola Blanca, Dodge Jennifer L, Roberts John P, Terrault Norah A, Feng Sandy
Department of Medicine, University of California, San Francisco, CA, USA.
Department of Medicine, St. Elizabeth's Medical Center, Boston, MA, USA.
Liver Int. 2015 Sep;35(9):2167-73. doi: 10.1111/liv.12792. Epub 2015 Feb 12.
BACKGROUND & AIMS: The US liver allocation system effectively prioritizes most liver transplant candidates by disease severity as assessed by the Model for End-Stage Liver Disease (MELD) score. Yet, one in five dies on the wait-list. We aimed to determine whether clinician assessments of health status could identify this subgroup of patients at higher risk for wait-list mortality.
From 2012-2013, clinicians of all adult liver transplant candidates with laboratory MELD≥12 were asked at the clinic visit: 'How would you rate your patient's overall health today (0 = excellent, 5 = very poor)?' The odds of death/delisting for being too sick for the transplant by clinician-assessment score ≥3 vs. <3 were assessed by logistic regression.
Three hundred and forty-seven liver transplant candidates (36% female) had a mean follow-up of 13 months. Men differed from women by disease aetiology (<0.01) but were similar in age and markers of liver disease severity (P > 0.05). Mean clinician assessment differed between men and women (2.3 vs. 2.6; P = 0.02). The association between clinician-assessment and MELD was ρ = 0.28 (P < 0.01). 53/347 (15%) died/were delisted. In univariable analysis, a clinician-assessment score ≥ 3 was associated with increased odds of death/delisting (2.57; 95% CI 1.42-4.66). After adjustment for MELD and age, a clinician-assessment score ≥ 3 was associated with 2.25 (95% CI 1.22-4.15) times the odds of death/delisting compared to a clinician-assessment score < 3.
A standardized clinician assessment of health status can identify liver transplant candidates at high risk for wait-list mortality independent of MELD score. Objectifying this 'eyeball test' may inform interventions targeted at this vulnerable subgroup to optimize wait-list outcomes.
美国肝脏分配系统通过终末期肝病模型(MELD)评分评估疾病严重程度,有效地对大多数肝脏移植候选人进行了优先排序。然而,五分之一的患者在等待名单上死亡。我们旨在确定临床医生对健康状况的评估是否能够识别出等待名单上死亡风险较高的这一亚组患者。
2012年至2013年期间,所有实验室MELD≥12的成年肝脏移植候选人在门诊就诊时,临床医生被问及:“您如何评价您的患者目前的整体健康状况(0 = 极佳,5 = 极差)?”通过逻辑回归分析评估临床医生评估得分≥3与<3的患者因病情过重无法进行移植而死亡/退出名单的几率。
347名肝脏移植候选人(36%为女性)平均随访13个月。男性和女性在疾病病因方面存在差异(<0.01),但在年龄和肝病严重程度指标方面相似(P > 0.05)。男性和女性的临床医生平均评估结果不同(2.3对2.6;P = 0.02)。临床医生评估与MELD之间的关联为ρ = 0.28(P < 0.01)。53/347(15%)的患者死亡/退出名单。在单变量分析中,临床医生评估得分≥3与死亡/退出名单几率增加相关(2.57;95%置信区间1.42 - 4.66)。在对MELD和年龄进行调整后,与临床医生评估得分<3相比,临床医生评估得分≥3的患者死亡/退出名单的几率是其2.25倍(95%置信区间1.22 - 4.15)。
对健康状况进行标准化的临床医生评估能够识别出等待名单上死亡风险较高的肝脏移植候选人,且独立于MELD评分。将这种“直观检查”客观化可能有助于针对这一脆弱亚组制定干预措施,以优化等待名单的结果。