Mechanism-guided pharmacotherapy for cardiometabolic multimorbidity: from pathophysiology to phenotype-prioritized treatment

针对心血管代谢多重疾病的机制指导药物治疗:从病理生理学到表型优先治疗

阅读:2

Abstract

Cardiometabolic multimorbidity (CMM), defined as the simultaneous presence of two or more cardiovascular and metabolic diseases in an individual, including but not limited to type 2 diabetes(T2D), chronic kidney disease(CKD), heart failure(HF), stroke, and obesity, constitutes an expanding global burden that challenges the prevailing single-disease paradigm of contemporary therapeutic interventions. Yet routine care is often guided by single-disease guidelines, yielding treatment plans that are siloed, polypharmacy-heavy, and potentially conflicting. Emerging evidence from large-scale outcome trials (2020-2025) and translational studies demonstrates that pharmacologic agents originally developed for glucose control exert multi-organ protective effects through distinct mechanistic pathways and these agents consistently reduced cardiovascular and renal events beyond glycemic control, with additive benefits when appropriately combined. This review indicates that sodium-glucose cotransporter 2 inhibitors or GLP-1 receptor agonists should be prioritized based on phenotypic characteristics, while Non-steroidal mineralocorticoid receptor antagonist should be considered for use in chronic kidney disease phenotypes. Moreover, the implementation of threshold monitoring protocols is imperative in order to mitigate the risk of hypoglycemia, hypotension, and hyperkalemia. This mechanism-based optimization of therapeutic strategies provides significant guidance for the management of cardiometabolic syndrome and shows promise in improving clinical outcomes for patients suffering from comorbid cardiometabolic diseases. It is recommended that future research concentrate on patient populations with overlapping phenotypes, with a view to refining the decision criteria for treatment de-escalation or discontinuation.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。