TY - JOUR
T1 - Investigating multimorbidity trajectories in people living with MASLD diagnosis
T2 - A trajectory analysis using the UK Biobank
AU - Lu, Fang
AU - Yang, Hailin
AU - She, Bingyang
AU - Lu, Qianhui
AU - Bao, Yining
AU - Seto, Wai Kay
AU - Wong, William C.W.
AU - Yuen, Man Fung
AU - He, Yingli
AU - He, Xinyuan
AU - Ji, Fanpu
AU - Zhang, Lei
N1 - Publisher Copyright:
© 2025 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.
PY - 2025/12
Y1 - 2025/12
N2 - Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an emerging global health concern, and its presence increases the risk of multi-system diseases. This study aimed to investigate the multimorbidity trajectories of chronic diseases in people living with MASLD. Methods: We identified 137 859 MASLD patients in UK Biobank and used ‘propensity score matching’ to match an equal number of non-MASLD controls. Diseases were reclassified into 472 categories based on the International Classification of Diseases, Tenth Revision (ICD-10) chapters. Multimorbidity trajectories post-MASLD diagnosis were mapped using validated trajectory analysis. We introduced the ‘Multimorbidity Trajectory Position Index (MTPI)’ to denote a disease's position across trajectories, highlighting its temporal pattern. Results: Participants had a median age of 59 (52–64) years, with 65.6% being male. Over 13 years of follow-up, Phenome-wide association analysis (PheWAS) identified 128 diseases with elevated risks post-MASLD diagnosis, with obesity (HR: 8.77, 95% CI: 8.37–9.18), diabetes (HR: 4.34, 95% CI: 4.15–4.53), and sleep disorders (HR: 3.21, 95% CI: 3.01–3.42) showing the strongest associations. Trajectory analysis revealed 6637 common trajectories involving 69 diseases, grouped into metabolic, inflammatory, and cardiovascular clusters. These clusters are linked to downstream conditions, with intermediary diseases such as hypertension, diabetes, and inflammatory arthritis, ultimately leading to electrolyte imbalances and sepsis. MTPI demonstrated a gradient in disease progression, with early-stage conditions showing low values, mid-stage conditions moderate values, and late-stage conditions high values. Conclusion: People living with MASLD demonstrated multimorbidity trajectories involving co-occurrence of metabolic diseases, chronic inflammation, and cardiovascular diseases. If replicated, these pathways may serve as promising targets to improve late-life health in individuals with MASLD.
AB - Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an emerging global health concern, and its presence increases the risk of multi-system diseases. This study aimed to investigate the multimorbidity trajectories of chronic diseases in people living with MASLD. Methods: We identified 137 859 MASLD patients in UK Biobank and used ‘propensity score matching’ to match an equal number of non-MASLD controls. Diseases were reclassified into 472 categories based on the International Classification of Diseases, Tenth Revision (ICD-10) chapters. Multimorbidity trajectories post-MASLD diagnosis were mapped using validated trajectory analysis. We introduced the ‘Multimorbidity Trajectory Position Index (MTPI)’ to denote a disease's position across trajectories, highlighting its temporal pattern. Results: Participants had a median age of 59 (52–64) years, with 65.6% being male. Over 13 years of follow-up, Phenome-wide association analysis (PheWAS) identified 128 diseases with elevated risks post-MASLD diagnosis, with obesity (HR: 8.77, 95% CI: 8.37–9.18), diabetes (HR: 4.34, 95% CI: 4.15–4.53), and sleep disorders (HR: 3.21, 95% CI: 3.01–3.42) showing the strongest associations. Trajectory analysis revealed 6637 common trajectories involving 69 diseases, grouped into metabolic, inflammatory, and cardiovascular clusters. These clusters are linked to downstream conditions, with intermediary diseases such as hypertension, diabetes, and inflammatory arthritis, ultimately leading to electrolyte imbalances and sepsis. MTPI demonstrated a gradient in disease progression, with early-stage conditions showing low values, mid-stage conditions moderate values, and late-stage conditions high values. Conclusion: People living with MASLD demonstrated multimorbidity trajectories involving co-occurrence of metabolic diseases, chronic inflammation, and cardiovascular diseases. If replicated, these pathways may serve as promising targets to improve late-life health in individuals with MASLD.
KW - UK Biobank
KW - disease trajectory
KW - metabolic dysfunction-associated steatotic liver disease
KW - multimorbidity
KW - non-alcoholic fatty liver disease
UR - https://www.scopus.com/pages/publications/105015440012
U2 - 10.1111/dom.70095
DO - 10.1111/dom.70095
M3 - 文章
C2 - 40919650
AN - SCOPUS:105015440012
SN - 1462-8902
VL - 27
SP - 6968
EP - 6978
JO - Diabetes, Obesity and Metabolism
JF - Diabetes, Obesity and Metabolism
IS - 12
ER -