Cardiovascular morbidity and mortality in lean vs. non-lean MASLD: A comprehensive meta-analysis

医学 优势比 血脂异常 内科学 狼牙棒 瘦体质量 可能性 疾病 逻辑回归 心肌梗塞 体重 传统PCI
作者
Nso Nso,Damla Mergen,Mashaal Ikram,Victor Macrinici,Kifah Hussain,Kevin Lee,Derek Ugwendum,Mia Trimingham,Senthil Balasubramanian,Riya Mary Sam,Basile Njei
出处
期刊:Current Problems in Cardiology [Elsevier BV]
卷期号:49 (6): 102569-102569 被引量:15
标识
DOI:10.1016/j.cpcardiol.2024.102569
摘要

Lean metabolic dysfunction-associated steatotic liver disease (MASLD), characterized by a BMI < 25 kg/m² (or < 23 kg/m² in Asians), presents a challenging prognosis compared to non-lean MASLD. This study examines cardiovascular outcomes in both lean and non-lean MASLD cohorts. In this meta-analysis, pooled odds ratios (ORs) within 95% confidence intervals (CIs) were calculated for primary outcomes (cardiovascular mortality and major adverse cardiovascular events [MACE]) and secondary outcomes (cardiovascular disease [CVD], all-cause mortality, hypertension, and dyslipidemia). Studies comparing lean and non-lean MASLD within the same cohorts were analyzed, prioritizing those with larger sample sizes or recent publication dates. Twenty-one studies were identified, encompassing lean MASLD patients (n = 7153; mean age 52.9 ± 7.4; 56% male) and non-lean MASLD patients (n = 23,514; mean age 53.2 ± 6.8; 63% male). Lean MASLD exhibited a 50% increase in cardiovascular mortality odds compared to non-lean MASLD (OR: 1.5, 95% CI 1.2–1.8; p < 0.0001). MACE odds were 10% lower in lean MASLD (OR: 0.9, 95% CI 0.7–1.2; p = 0.7), while CVD odds were 40% lower (p = 0.01). All-cause mortality showed a 40% higher odds in lean MASLD versus non-lean MASLD (p = 0.06). Lean MASLD had 30% lower odds for both hypertension (p = 0.01) and dyslipidemia (p = 0.02) compared to non-lean MASLD. Despite a favorable cardiometabolic profile and comparable MACE rates, lean individuals with MASLD face elevated cardiovascular mortality risk.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
maomao发布了新的文献求助10
1秒前
CipherSage应助锅包肉采纳,获得10
2秒前
慕青应助Silvia采纳,获得10
4秒前
积极雅青完成签到,获得积分10
5秒前
emilybei发布了新的文献求助10
5秒前
小岛猫粮应助火星上芹菜采纳,获得10
5秒前
沉静的手套完成签到,获得积分10
6秒前
8秒前
8秒前
小袁完成签到,获得积分20
10秒前
Copyright应助俏皮秋烟采纳,获得10
10秒前
13秒前
13秒前
13秒前
pingpangqiu发布了新的文献求助10
14秒前
15秒前
16秒前
琪琪完成签到,获得积分10
17秒前
无花果应助子熹采纳,获得10
19秒前
faye关注了科研通微信公众号
19秒前
20秒前
打打应助Dr.向采纳,获得10
22秒前
james发布了新的文献求助10
22秒前
超越梦想发布了新的文献求助10
23秒前
比考试难烤的地瓜完成签到 ,获得积分10
26秒前
眯眯眼的语雪完成签到,获得积分10
27秒前
28秒前
29秒前
30秒前
jinfu发布了新的文献求助10
31秒前
31秒前
31秒前
31秒前
NexusExplorer应助舒适的向南采纳,获得10
31秒前
32秒前
32秒前
活力从飞发布了新的文献求助10
33秒前
34秒前
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Organic Reactions, Volume 116 1500
VALIDATION OF THE TAYLOR, ALAMEL AND VPSC MODELS FOR PLASTIC ANISOTROPY MODELING OF SHEET METALS 1000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7405806
求助须知:如何正确求助?哪些是违规求助? 9010349
关于积分的说明 19188900
捐赠科研通 7039142
什么是DOI,文献DOI怎么找? 3232181
关于科研通互助平台的介绍 2394322
邀请新用户注册赠送积分活动 2214241