Respiratory Phenotypes for Stratifying and Predicting Survival in ALS

INTRODUCTION/AIMS: Phenotypic heterogeneity in amyotrophic lateral sclerosis (ALS) is an obstacle to stratification and survival prediction and is not sufficiently accounted for in clinical practice or trial design. We aimed to identify respiratory phenotypes to allow stratification and survival prediction in ALS. METHODS: We retrospectively analyzed 292 ALS patients. Data included demographics, disease-related characteristics, and respiratory measurements (initial predicted forced vital capacity [FVC] and 3-month decline slope). Survival analysis was performed using Kaplan-Meier estimates and Cox regression. We defined four respiratory phenotypes based on dichotomized predicted FVC at the initial visit and its 3-month decline slope: (1) initial high, slow decline (IHSD), (2) initial high, fast decline (IHFD), (3) initial low, slow decline (ILSD), and (4) initial low, fast decline (ILFD). RESULTS: Patients with an initial predicted FVC above the median had a median survival of 33 months, compared to 15 months for those below the median (p < 0.0001). The highest quartile had an almost threefold survival advantage over the lowest quartile (37 vs. 13 months, p < 0.0001). A 3-month slope at or above the median predicted longer survival (33 vs. 14 months, p < 0.0001). Survival varied across respiratory phenotypes, ranging from 41 months in IHSD to 11 months in ILFD-with all comparisons being significant (p ≤ 0.0012) except for ILSD vs. IHFD. DISCUSSION: Defining respiratory phenotypes in ALS may allow tailored research within those subgroups, biomarker correlations, more accurate prognostication, and stratification in clinical trials based on phenotype-specific disease progression.

Authors

Institutions

Publication Details

Journal
Muscle & Nerve
Published
2026-10-26
DOI
https://doi.org/10.1002/mus.70443
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Respiratory Phenotypes for Stratifying and Predicting Survival in ALS

Muhannad Seyam, Waqar Waheed, Leonard H. van den Berg, Rup Tandan et al.
1 links
Muscle & Nerve
Amyotrophic Lateral Sclerosis Research
article

Respiratory Phenotypes for Stratifying and Predicting Survival in ALS

Muhannad Seyam, Waqar Waheed, Leonard H. van den Berg, Rup Tandan, Jiayi Luo, Joan M. Skelly, Rachel Thompson
article en

Abstract

INTRODUCTION/AIMS: Phenotypic heterogeneity in amyotrophic lateral sclerosis (ALS) is an obstacle to stratification and survival prediction and is not sufficiently accounted for in clinical practice or trial design. We aimed to identify respiratory phenotypes to allow stratification and survival prediction in ALS. METHODS: We retrospectively analyzed 292 ALS patients. Data included demographics, disease-related characteristics, and respiratory measurements (initial predicted forced vital capacity [FVC] and 3-month decline slope). Survival analysis was performed using Kaplan-Meier estimates and Cox regression. We defined four respiratory phenotypes based on dichotomized predicted FVC at the initial visit and its 3-month decline slope: (1) initial high, slow decline (IHSD), (2) initial high, fast decline (IHFD), (3) initial low, slow decline (ILSD), and (4) initial low, fast decline (ILFD). RESULTS: Patients with an initial predicted FVC above the median had a median survival of 33 months, compared to 15 months for those below the median (p < 0.0001). The highest quartile had an almost threefold survival advantage over the lowest quartile (37 vs. 13 months, p < 0.0001). A 3-month slope at or above the median predicted longer survival (33 vs. 14 months, p < 0.0001). Survival varied across respiratory phenotypes, ranging from 41 months in IHSD to 11 months in ILFD-with all comparisons being significant (p ≤ 0.0012) except for ILSD vs. IHFD. DISCUSSION: Defining respiratory phenotypes in ALS may allow tailored research within those subgroups, biomarker correlations, more accurate prognostication, and stratification in clinical trials based on phenotype-specific disease progression.

Muscle & Nerve
University of Vermont (US), Utrecht University (NL), University Medical Center Utrecht (NL), Stanford University (US)
Openalex Percentile: Top 13%
Amyotrophic Lateral Sclerosis Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon