Evidence mapPaperPMID 42298435Full record

ArticleBMC geriatrics2026

Association of a new TyG indicator, TyHGB, with cardiovascular disease incidence among the elderly: evidence from a prospective cohort study.

Xiang-Yang He, Zheng Liu, Yan-Fang Guo, Pan-Pan Sun, Ren-Cheng Zhao, Xing-Lin Zhong

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Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Xiang-Yang HeDepartment of Health Management, Shenzhen Bao'an Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Zheng LiuDepartment of Health Management, Shenzhen Bao'an Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Yan-Fang GuoDepartment of Health Management, Shenzhen Bao'an Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Pan-Pan SunDepartment of Health Management, Shenzhen Bao'an Center for Chronic Disease Control, Shenzhen, Guangdong, China.
Ren-Cheng ZhaoDepartment of Health Management, Shenzhen Bao'an Center for Chronic Disease Control, Shenzhen, Guangdong, China. 394105366@qq.com.
Xing-Lin ZhongShenzhen University of Advanced Technology General Hospital, Shenzhen, Guangdong, China. 3314369279@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCVDs remain a major global public health concern, highlighting the need for simple and effective screening tools. Current evidence regarding the association between TyHGB and CVDs were limited. This study aims to investigate the association between TyHGB and CVDs among the elderly using data from a large community-based cohort study.

methodThis study utilized data from the BaHLS involving elderly individuals in Shenzhen, China. The TyHGB value was calculated using the following formula: TyHGB = TG/HDL-C + 0.7 × FBG (mmol/L) + 0.1 × BMI (kg/m²). A multivariate Cox proportional hazards model and a RCS model were employed to assess the longitudinal association between TyHGB and CVDs.

resultsA total of 26,603 subjects were included in the study, of whom 1,968 (7.40%) experienced CVD events during the follow-up period. After adjusting for confounding factors, we found that for per 1-SD increase in TyHGB, the HRs for overall CVDs, stroke, and AMI were 1.12 (95% CI: 1.07-1.16), 1.09 (95% CI: 1.04-1.15), and 1.30 (95% CI: 1.24-1.37), respectively. After stratification by baseline TyHGB quartiles, higher TyHGB levels were associated with increased risks of overall CVDs, stroke, and AMI, with HRs of 1.35 (95% CI: 1.15-1.56), 1.23 (95% CI: 1.03-1.47), and 1.72 (95% CI: 1.33-2.21), respectively; these significant associations were consistent in subgroup analysis. RCS models revealed a linear association between TyHGB and risks of overall CVDs, stroke, and AMI (nonlinear test, P > 0.05).

conclusionTyHGB demonstrates a significant longitudinal association with CVDs events among the elderly. Derived from routine clinical laboratory parameters, TyHGB represents a promising tool for CVDs risk stratification and prevention in this population.

Indexed as

Blood GlucoseCardiovascular DiseasesCholesterol, HDLTriglyceridesAgedAged, 80 and overBiomarkersChinaCohort StudiesFemaleFollow-Up StudiesHumansIncidenceLongitudinal StudiesMaleProspective StudiesBiomarkersBlood GlucoseCholesterol, HDLTriglyceridesCardiovascular diseaseElderlyLlongitudinal studyTyHGB

Identifiers

PMID42298435
PMCPMC13449385

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.