Feasibility and sensitivity of a multimodal digital endpoint panel for amyotrophic lateral sclerosis: a prospective...

Background: The use of digital technology may improve monitoring of amyotrophic lateral sclerosis (ALS) but a multimodal approach is likely required to capture the full disease phenotype. We evaluated the feasibility of a multimodal home monitoring protocol in ALS. Methods: We conducted a 3-month prospective cohort study at the University Medical Center Utrecht, Netherlands, with monthly home assessments of spirometry, accelerometry, speech, and questionnaires on functioning. The primary outcome was protocol adherence, defined as percentage of completed assessments. Secondary outcomes included acceptability ((totally) agree, neutral, (totally) disagree), and perceived burden, ranging from 0 (no burden) to 10 (extremely burdensome). Exploratory analyses were performed to evaluate changes in digital endpoints using linear mixed-effects models. Findings: Fifty patients with ALS were included (January 2023 - June 2025), of whom 47 (94%) completed the 3-month follow-up. Overall adherence was 83.2% (95% CI 76.9-88.6) and did not differ across modalities (p = 0.75). Adherers did not differ from non-adherers in either demographic or disease characteristics. In month 3, 93.0% to 95.3% of patients considered monthly remote assessments as acceptable, with a mean burden score of 2.0 (95% CI 1.7 to 2.3); burden was highest for speech (2.5) and the lowest for questionnaires (1.5). Digital endpoints showed significant change over 3 months (all p < 0.05). Interpretation: This study demonstrates good adherence and acceptability of a multimodal remote monitoring protocol. Digital endpoints offer an innovative approach to capturing disease progression. Future research should assess its long-term feasibility, added value, and integration alongside established clinical outcomes.