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纳入重要临床变量对肺分配评分预测囊性纤维化和慢性阻塞性肺疾病准确性的影响。

Effect of Including Important Clinical Variables on Accuracy of the Lung Allocation Score for Cystic Fibrosis and Chronic Obstructive Pulmonary Disease.

机构信息

Cleveland Clinic, Cleveland, Ohio.

Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota; and.

出版信息

Am J Respir Crit Care Med. 2019 Oct 15;200(8):1013-1021. doi: 10.1164/rccm.201902-0252OC.

DOI:10.1164/rccm.201902-0252OC
PMID:31199166
Abstract

Clinical variables associated with shortened survival in patients with advanced-stage cystic fibrosis (CF) are not included in the lung allocation score (LAS). To identify variables associated with wait-list and post-transplant mortality for CF lung transplant candidates using a novel database and to analyze the impact of including new CF-specific variables in the LAS system. A deterministic matching algorithm identified patients from the Scientific Registry of Transplant Recipients and the Cystic Fibrosis Foundation Patient Registry. LAS wait-list and post-transplant survival models were recalculated using CF-specific variables. This multicenter, retrospective, population-based study of all lung transplant wait-list candidates aged 12 years or older from January 1, 2011, to December 31, 2014, included 9,043 patients on the lung transplant waiting list and 6,110 lung transplant recipients between 2011 and 2014, comprising 1,020 and 677 with CF, respectively. Measured outcomes were changes in LAS and lung allocation rank. For CF candidates, any sp. (hazard ratio [HR], 2.8; 95% confidence interval [CI], 1.2-6.6), 29-42 days hospitalized (HR 2.8; CI 1.3-5.9), massive hemoptysis (HR 2.1; CI 1.1-3.9), and relative drop in FEV ≥30% over 12 months (HR 1.7; CI 1.0-2.8) increased wait-list mortality risk; pulmonary exacerbation time 15-28 days (1.8; 1.1-2.9) increased post-transplant mortality risk. A relative drop in FEV ≥10% in chronic obstructive pulmonary disease (COPD) candidates was associated with increased wait-list mortality risk (HR 2.6; CI 1.2-5.4). Variability in LAS score and rank increased in patients with CF. Priority for transplant increased for COPD candidates. Access did not change for other diagnosis groups. Adding CF-specific variables improved discrimination among wait-listed CF candidates and benefited COPD candidates.

摘要

与晚期囊性纤维化 (CF) 患者生存时间缩短相关的临床变量未包含在肺分配评分 (LAS) 中。本研究使用新型数据库确定与 CF 肺移植候选者等待名单和移植后死亡相关的变量,并分析将新的 CF 特异性变量纳入 LAS 系统的影响。确定性匹配算法从移植受者科学登记处和囊性纤维化基金会患者登记处确定患者。使用 CF 特异性变量重新计算 LAS 等待名单和移植后生存模型。这是一项多中心、回顾性、基于人群的研究,纳入了 2011 年 1 月 1 日至 2014 年 12 月 31 日期间年龄在 12 岁及以上的所有肺移植等待名单候选者,共纳入 9043 名等待肺移植的患者和 2011 年至 2014 年期间的 6110 名肺移植受者,其中分别有 1020 名和 677 名为 CF 患者。测量结果为 LAS 和肺分配等级的变化。对于 CF 候选者,任何肺部感染(危险比 [HR],2.8;95%置信区间 [CI],1.2-6.6)、住院 29-42 天(HR 2.8;CI 1.3-5.9)、大咯血(HR 2.1;CI 1.1-3.9)和 12 个月内 FEV 相对下降≥30%(HR 1.7;CI 1.0-2.8)增加等待名单死亡风险;肺部感染时间 15-28 天(HR 1.8;CI 1.1-2.9)增加移植后死亡风险。慢性阻塞性肺疾病 (COPD) 候选者的 FEV 相对下降≥10%与等待名单死亡风险增加相关(HR 2.6;CI 1.2-5.4)。CF 患者的 LAS 评分和等级的变异性增加。COPD 候选者的移植优先级增加。其他诊断组的机会没有改变。增加 CF 特异性变量可提高等待名单 CF 候选者的区分度,并使 COPD 候选者受益。

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