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Tailoring patients’ enrollment in ALS clinical trials: the effect of disease duration and vital capacity cutoffs

医学 肺活量测定 肺活量 内科学 人口 死亡率 置信区间 扩散能力 肺功能 哮喘 环境卫生
作者
Maria Claudia Torrieri,Umberto Manera,Gabriele Mora,Antonio Canosa,Rosario Vasta,Giuseppe Fuda,Paolina Salamone,Maurizio Grassano,Paolo Cugnasco,Nicola Launaro,Fabiola De Marchi,Alessio Mattei,Letizia Mazzini,Cristina Moglia,Andrea Calvo,Adriano Chiò
出处
期刊:Amyotrophic lateral sclerosis & frontotemporal degeneration [Informa]
卷期号:23 (1-2): 108-115 被引量:3
标识
DOI:10.1080/21678421.2021.1936063
摘要

Objective: To evaluate how Amyotrophic Lateral Sclerosis (ALS) patients' mortality rates change, based on different levels of forced vital capacity (FVC) and disease duration, providing a scheme of mortality rates of a real population of ALS patients to improve the design of future RCTs. Methods: One random spirometry for each ALS patient was selected during four time intervals from disease onset: (1 Van Eijk RPA, Kliest T, van den Berg LH. Current trends in the clinical trial landscape for amyotrophic lateral sclerosis. Curr Opin Neurol. 2020;33:655–61.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) ≤12 months; (2 Jaiswal MK. Riluzole and edaravone: A tale of two amyotrophic lateral sclerosis drugs. Med Res Rev. 2019;39:733–48.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) ≤18 months; (3 Chiò A, Mazzini L, Mora G. Disease-modifying therapies in amyotrophic lateral sclerosis. Neuropharmacology 2020;167:107986.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) ≤24 months; (4 Westeneng HJ, Debray TPA, Visser AE, van Eijk RPA, Rooney JPK, Calvo A, et al. Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model. Lancet Neurol. 2018;17:423–33.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) ≤36 months. Date of spirometry corresponded to date of trial entry, while time interval onset-spirometry to disease duration at enrollment. Mortality rates from inclusion were computed at different time intervals. Based on progression rates, patients were stratified in slow, intermediate and fast progressors. Survival from recruitment was calculated depending on FVC, disease duration and progression rate. Results: We included 659 patients in group 1, 888 in group 2, 1019 in group 3 and 1102 in group 4. Mortality rates were higher in each group at reducing the FVC cutoff used for recruitment (p < 0.001). Median survival decreased when lowering FVC and disease duration cutoffs (p < 0.001); a higher median disease progression rate of included patients led to lower median survival from recruitment. The proportion of recruited fast progressors raised when shortening disease duration and lowering FVC cutoff. Conclusions: This is a simple model for setting eligibility criteria, based on mortality rates of patients depending on FVC and disease duration, to select the best population for RCTs, tailored to trials' primary endpoints and duration.
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