Reliable monitoring of respiratory function with home spirometry in people living with amyotrophic lateral sclerosis

作者：Julián Peller, Marcos A. Trevisan, Gastón Bujía, Felipe Aguirre, Diego E. Shalóm, Alan Taitz, Stephanie Henze, Silviya Bastola, Jason Osik, Ryan A. Shewcraft, Peng Jiang, Joel Schwartz, Terry Heiman‐Patterson, Michael Sherman, Matthew F. Wipperman, Oren Levy, Guofa Shou, Karl Sillay, Lyle W. Ostrow, Ernest Fraenkel, James D. Berry, Indu Navar Bingham, Esteban G. Roitberg · 发表于：Frontiers in Neurology · 年份：2025 · DOI：10.3389/fneur.2025.1588992 · 被引用次数：3 · 研究领域：Amyotrophic Lateral Sclerosis Research、Multiple Sclerosis Research Studies、Chronic Obstructive Pulmonary Disease (COPD) Research

Introduction: Monitoring respiratory function is essential for assessing the progression of Amyotrophic Lateral Sclerosis (ALS) and planning interventions. Remote pulmonary function testing offers a promising alternative to in-clinic visits by reducing participant burden and enabling more frequent and accessible measurements. Methods: To evaluate the feasibility and reliability of home-based spirometry in ALS, we built on the Radcliff Study, a fully remote, longitudinal, exploratory study conducted at home by 67 people with ALS (pALS). After an initial training period, participants managed their coaching autonomously, performing spirometry independently or requesting assistance from trained personnel. Results: We demonstrate that combining flexible coaching with a predefined automatic quality control protocol yields consistent and reliable spirometry results for tracking respiratory function over time. This approach reveals that home-measured Slow Vital Capacity (SVC) and Forced Vital Capacity (FVC) evolve similarly and follow a linear trajectory throughout the study period (7.7 ± 4.0 months), in both slow and fast progressor subpopulations. Discussion: The observed linearity in respiratory trajectories supports the potential for early and accurate estimation of progression, reinforcing the feasibility of less frequent monitoring without compromising assessment precision and reducing the burden on both pALS and the healthcare system. Furthermore, our results align with report...