研究MASLD患者的多病轨迹:使用英国生物银行的轨迹分析。

IF 5.7 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Fang Lu, Hailin Yang, Bingyang She, Qianhui Lu, Yining Bao, Wai-Kay Seto, William C W Wong, Man-Fung Yuen, Yingli He, Xinyuan He, Fanpu Ji, Lei Zhang
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引用次数: 0

摘要

背景:代谢功能障碍相关脂肪变性肝病(MASLD)是一个新兴的全球健康问题,其存在增加了多系统疾病的风险。本研究旨在探讨MASLD患者慢性疾病的多发病轨迹。方法:我们在UK Biobank中鉴定了137859例MASLD患者,并使用“倾向评分匹配”来匹配相同数量的非MASLD对照。根据国际疾病分类第十版(ICD-10)章节,疾病被重新分类为472类。使用经过验证的轨迹分析绘制masld诊断后的多病轨迹。我们引入了“多病轨迹位置指数(MTPI)”来表示疾病在轨迹上的位置,突出其时间模式。结果:参与者的中位年龄为59岁(52-64岁),65.6%为男性。在13年的随访中,全现象关联分析(PheWAS)确定了128种masld诊断后风险升高的疾病,其中肥胖(HR: 8.77, 95% CI: 8.37-9.18)、糖尿病(HR: 4.34, 95% CI: 4.15-4.53)和睡眠障碍(HR: 3.21, 95% CI: 3.01-3.42)的相关性最强。轨迹分析揭示了6637种常见轨迹,涉及69种疾病,分为代谢、炎症和心血管类。这些群集与下游疾病有关,如高血压、糖尿病和炎症性关节炎等中间疾病,最终导致电解质失衡和败血症。MTPI在疾病进展中表现出梯度,早期条件显示低值,中期条件显示中等值,晚期条件显示高值。结论:MASLD患者表现出多发病轨迹,包括代谢性疾病、慢性炎症和心血管疾病的共同发生。如果复制,这些途径可能成为改善MASLD患者晚年健康的有希望的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating multimorbidity trajectories in people living with MASLD diagnosis: A trajectory analysis using the UK Biobank.

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.

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来源期刊
Diabetes, Obesity & Metabolism
Diabetes, Obesity & Metabolism 医学-内分泌学与代谢
CiteScore
10.90
自引率
6.90%
发文量
319
审稿时长
3-8 weeks
期刊介绍: Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.
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