Tin Mei Yeo, Calvin Woon Loong Chin, Chuen Wei Alvin Seah, Ling Jie Cheng, Weiqin Lin, Mayank Dalakoti, Roger Foo, Wenru Wang
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引用次数: 0
Abstract
Aims: Cardiometabolic conditions including hypertension, diabetes, hyperlipidaemia, and obesity are significant risk factors for cardiovascular diseases. Myocardial fibrosis (MF) is a complication and final common pathway of these conditions, potentially leading to heart failure, arrhythmias, and sudden death. Existing reviews explored pathophysiological changes and treatment of MF, but the global prevalence of MF among individuals with cardiometabolic conditions remains limited. This review aims to evaluate the global prevalence of MF in individuals with cardiometabolic conditions and explore factors influencing its prevalence.
Methods and results: CINAHL, Cochrane Library, Embase, PubMed, ProQuest Theses and Dissertations, Scopus, and Web of Science were systematically reviewed until January 2024. Studies included individuals with hypertension, type 2 diabetes mellitus, hyperlipidaemia, and obesity, with MF prevalence assessed via biopsy or late gadolinium enhancement-cardiac magnetic resonance (LGE-CMR). Meta-analysis was conducted using jamovi, and factors associated with MF were synthesized narratively. This review is registered on PROSPERO, CRD42024544632. The meta-analysis included 52 articles involving 5921 individuals. A total of 32.7% of individuals with cardiometabolic conditions developed MF, with hypertension demonstrating the highest prevalence [35.2% (95% CI: 25.5-45.0)]. Biopsy-based studies reported a higher prevalence [75.6% (95% CI: 53.6-97.6)] compared to LGE-CMR studies [26.8% (95% CI: 20.6-33.0)]. Key factors associated with MF included increased LV mass/LV hypertrophy, reduced LV function, and myocardial stiffness.
Conclusion: This first global review estimates that one-third of individuals with cardiometabolic conditions develop MF, with the prevalence expected to rise. Standardized CMR measures cut-offs are needed to address prevalence inconsistencies. Future research should explore MF prevalence using diverse samples, combined CMR measures, considering socio-demographic and clinical factors for more accurate estimates.
Lay summary: About one in three people with high blood pressure, diabetes, high cholesterol, and obesity develop myocardial fibrosis (MF)-a type of heart tissue scarring that disrupt normal heart function, increasing the risk of heart failure, life-threatening heart rhythms, and even death.Different methods to assess MF (such as biopsies vs. heart imaging) led to variations in reported rates, largely due to limitations in heart imaging for detecting certain types of MF.Future research should explore how common MF is across different populations. Using a combination of advanced heart imaging techniques and considering patient characteristics such as medical history and clinical details could help provide more accurate insights into this condition and how to manage it.
背景:包括高血压、糖尿病、高脂血症和肥胖在内的心脏代谢疾病是心血管疾病的重要危险因素。心肌纤维化(MF)是这些疾病的并发症和最终常见途径,可能导致心力衰竭、心律失常和猝死。现有的综述探讨了MF的病理生理变化和治疗,但MF在心脏代谢疾病患者中的全球患病率仍然有限。目的:评估全球心脏代谢疾病患者MF患病率,并探讨影响其发病率的因素。方法:截止到2024年1月,对CINAHL、Cochrane Library、Embase、PubMed、ProQuest、Scopus、Web of Science进行系统综述。研究包括高血压、2型糖尿病、高脂血症和肥胖症患者,通过活检或晚期钆增强心脏磁共振(LGE-CMR)评估MF患病率。使用jamovi进行meta分析,并叙述地综合与MF相关的因素。本综述在PROSPERO注册,CRD42024544632。结果:meta分析纳入52篇文章,涉及5921人。32.7%的心脏代谢疾病患者发生MF,其中高血压患病率最高[35.2%(95%CI:25.5-45.0)]。活检为基础的研究报告的患病率[75.6%(95%CI:53.6-97.6)]高于LGE-CMR研究[26.8%(95%CI:20.6-33.0)]。与MF相关的关键因素包括左室质量增加/左室肥厚、左室功能降低和心肌僵硬。结论:这是第一篇全球综述,估计有三分之一的心脏代谢疾病患者会发生MF,而且这一比例预计会上升。需要标准化的CMR测量截止值来解决患病率不一致的问题。未来的研究应该使用不同的样本,结合CMR测量,考虑社会人口统计学和临床因素来探索MF患病率,以获得更准确的估计。
期刊介绍:
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.