Alicandro Gianfranco, Gramegna Andrea, Bellino Federica, Sciarrabba Sathya Calogero, Lanfranchi Chiara, Contarini Martina, Retucci Mariangela, Daccò Valeria, Blasi Francesco
Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Paediatrics, Cystic Fibrosis Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Respiratory Unit and Cystic Fibrosis Adult Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
J Cyst Fibros. 2024 Nov;23(6):1072-1079. doi: 10.1016/j.jcf.2024.04.013. Epub 2024 May 9.
Highly effective modulators of the CFTR channel have been demonstrated to dramatically impact disease progression and outcome. However, real-world data indicates that the magnitude of the clinical benefit is not equal among all patients receiving the treatment. We aimed to assess the variability in treatment response (as defined by the 6-month change in sweat chloride concentration, forced expiratory volume in one second [ppFEV1], body mass index [BMI], and CF Questionnaire-Revised [CFQ-R] respiratory domain score) and identify potential predictors in a group of patients receiving Elexacaftor-Tezacaftor-Ivacaftor (ETI) triple combination therapy.
This was a single-center, prospective cohort study enrolling adults with CF at a major center in Italy. We used linear regression models to identify a set of potential predictors (including CFTR genotype, sex, age, and baseline clinical characteristics) and estimate the variability in treatment response.
The study included 211 patients (median age: 29 years, range: 12-58). Median changes (10-90th percentile) from baseline were: - 56 mEq/L (-76; -27) for sweat chloride concentration, +14.5 points (2.5; 32.0) for ppFEV1, +0.33 standard deviation scores (-0.13; 1.05) for BMI and +17 points (0; 39) for the CFQ-R respiratory domain score. The selected predictors explained 23 % of the variability in sweat chloride concentration changes, 18 % of the variability in ppFEV1 changes, 39 % of the variability in BMI changes, and 65 % of the variability in CFQ-R changes.
This study highlights a high level of heterogeneity in treatment response to ETI, which can only be partially explained by the baseline characteristics of the disease.
已证实CFTR通道的高效调节剂可显著影响疾病进展和预后。然而,现实世界的数据表明,在所有接受该治疗的患者中,临床获益程度并不相同。我们旨在评估治疗反应的变异性(定义为6个月时汗液氯化物浓度、一秒用力呼气量[ppFEV1]、体重指数[BMI]和囊性纤维化问卷修订版[CFQ-R]呼吸领域评分的变化),并确定一组接受依列卡福托-替扎卡福托-依伐卡托(ETI)三联联合治疗的患者中的潜在预测因素。
这是一项单中心前瞻性队列研究,纳入了意大利一个主要中心的成年囊性纤维化患者。我们使用线性回归模型来确定一组潜在预测因素(包括CFTR基因型、性别、年龄和基线临床特征),并估计治疗反应的变异性。
该研究纳入了211名患者(中位年龄:29岁,范围:12 - 58岁)。与基线相比的中位变化(第10 - 90百分位数)为:汗液氯化物浓度为-56 mEq/L(-76;-27),ppFEV1为+14.5分(2.5;32.0),BMI为+0.33标准差评分(-0.13;1.05),CFQ-R呼吸领域评分为+17分(0;39)。所选预测因素解释了汗液氯化物浓度变化变异性的23%、ppFEV1变化变异性的18%、BMI变化变异性的39%以及CFQ-R变化变异性的65%。
本研究强调了ETI治疗反应的高度异质性,而疾病的基线特征只能部分解释这种异质性。