坚持生命的基本原则和心脏代谢多病的进展轨迹:一项前瞻性队列研究

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Hao Bai, Chengmiao Qiu, Miaomiao Fan, Yang Zhong, Xiaolin Yin, Tongchao Zhang, Hao Chen, Xiaorong Yang, Yuan Zhang, Shujuan Lin, Liyong Chen, Ming Lv
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引用次数: 0

摘要

背景:由美国心脏协会开发的用于评估心血管健康(CVH)的生命基本8 (LE8)评分最近更新。很少有研究探讨其对心脏代谢多病(CMM)的发生率、进展和预后的影响。本研究探讨LE8与慢性骨髓瘤进展之间的关系。方法:这项前瞻性队列研究包括来自英国生物银行的264,597名参与者。CMM被定义为至少存在三种心脏代谢疾病(cmd)中的两种:2型糖尿病(T2D)、中风和缺血性心脏病(IHD)。采用多状态模型研究LE8评分及其子量表与从健康到首发心脏代谢疾病(FCMD)发病、随后进展到CMM和死亡的过渡风险之间的关系。结果:在13.94年的中位随访中,33,868人发展为至少一种CMD, 4282人被诊断为CMM, 4955人死亡。结果显示,LE8评分每增加1-SD,从基线到FCMD、基线到死亡和FCMD到CMM的进展率均显著降低,风险比(hr)分别为0.64 (95% CI: 0.63, 0.65)、0.83 (95% CI: 0.81, 0.85)和0.80 (95% CI: 0.78, 0.83)。然而,LE8评分与从FCMD或CMM到死亡的转变之间没有相关性。相比之下,行为量表评分每增加1个标准差与从口蹄疫过渡到死亡的风险降低相关(HR: 0.93;95% CI: 0.90, 0.95)和从CMM到死亡(HR: 0.89;95% CI: 0.88, 0.95),而生物量表评分每增加1个标准差与从口蹄疫过渡到死亡的风险增加相关(HR: 1.10;95% CI: 1.07, 1.14),从CMM到死亡(HR: 1.22;95% ci: 1.15, 1.29)。结论:LE8定义的CVH影响从健康状态到口蹄疫、CMM和死亡的进展,强调了改善CVH作为预防CMM的综合方法的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adherence to life's essential 8 and progression trajectory of cardiometabolic multimorbidity: a prospective cohort study.

Background: The Life's Essential 8 (LE8) score, developed by the American Heart Association to evaluate cardiovascular health (CVH), was recently updated. Few studies have explored its effect on the incidence, progression, and prognosis of cardiometabolic multimorbidity (CMM). This study examines the association between the LE8 and the progress of CMM.

Methods: This prospective cohort study included 264,597 participants from the UK Biobank. CMM was defined as the presence of at least two of the three cardiometabolic diseases (CMDs): type 2 diabetes (T2D), stroke, and ischemic heart disease (IHD). Multi-state models were employed to investigate the relationship between the LE8 score and its subscales with risk of transitions from healthy to the onset of first cardiometabolic diseases (FCMD), followed by progression to CMM and to death.

Results: Over a median follow-up of 13.94 years, 33,868 individuals developed at least one CMD, 4282 were diagnosed with CMM, and 4955 died. The results indicated that for each 1-SD increase in the LE8 score, a notable reduction was observed in the rate of progression from baseline to FCMD, baseline to death, and FCMD to CMM, with hazard ratios (HRs) of 0.64 (95% CI: 0.63, 0.65), 0.83 (95% CI: 0.81, 0.85), and 0.80 (95% CI: 0.78, 0.83), respectively. However, no correlation was found between the LE8 score and the transition from FCMD or CMM to death. By contrast, per 1-SD increment in the behavior scale score was associated with decreased risk of transition from FCMD to death (HR: 0.93; 95% CI: 0.90, 0.95) and from CMM to death (HR: 0.89; 95% CI: 0.88, 0.95), while per 1-SD increment in the biological scale score was associated with increased risk of transition from FCMD to death (HR: 1.10; 95% CI: 1.07, 1.14), and from CMM to death (HR: 1.22; 95% CI: 1.15, 1.29).

Conclusion: The LE8 defined CVH influences the progression from a healthy state to FCMD, CMM, and death, highlighting the importance of improving CVH as a comprehensive approach for preventing CMM.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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