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Predictive Analysis of Amyotrophic Lateral Sclerosis Progression and Mortality in a Clinic Cohort From Singapore
Author(s) -
Xu Ian Qian,
Guo Ling,
Xu Jing,
Setiawan Stella,
Deng Xiao,
Lo Yew Long,
Chai Josiah Yui Huei,
Simmons Zachary,
Ramasamy Savitha,
Yeo Crystal Jing Jing
Publication year - 2025
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.28416
Subject(s) - medicine , amyotrophic lateral sclerosis , percutaneous endoscopic gastrostomy , hazard ratio , creatinine , cohort , population , disease , confidence interval , environmental health , finance , peg ratio , economics
ABSTRACT Introduction There is currently no comprehensive Amyotrophic Lateral Sclerosis (ALS) patient database in Singapore comparable to those available in Europe and the United States. We established the Singapore ALS registry (SingALS) to draw meaningful inferences about the ALS population in Singapore through developing statistical and machine learning‐based predictive models. Methods The SingALS registry was established through the retrospective collection of demographic, clinical, and laboratory data from 72 ALS patients at Tan Tock Seng Hospital (TTSH) and combining it with demographic and clinical data from 71 patients at Singapore General Hospital (SGH). The SingALS was compared against international ALS registries. Using comparative studies including survival and temporal feature analysis, we identified key factors influencing ALS survival and developed a machine learning model to predict survival outcomes. Results Compared to Caucasian‐dominant registries, such as the German Swabia registry, SingALS patients had longer average survival (50.51 vs. 31.0 months), younger age of onset (56.18 vs. 66.6 years), and lower bulbar onset prevalence (20.98% vs. 34.10%). Singaporean males had poorer outcomes compared to females, with a hazard ratio (HR) of 3.12 ( p = 0.008). Patients who died within 24 months had an earlier need for being bedbound ( p < 0.004), percutaneous endoscopic gastrostomy (PEG) insertion ( p = 0.004) and non‐invasive ventilation (NIV) ( p < 0.001). Machine learning and statistical analysis indicated that a steeper ALSFRS‐R slope, higher alkaline phosphatase (ALP), white blood cell (WBC), absolute neutrophil counts, and creatinine levels are associated with worse mortality. Discussion We developed a comprehensive Singaporean ALS registry and identified key factors influencing survival.