Evidence map›Paper›PMID 41163684›Full record

ArticleFrontiers in endocrinology2025

Association between triglyceride glucose-body mass index with all-cause and cardiovascular mortality in adults with osteoporosis: a prospective study.

Yuhao Li, Xiaowan Xie, Yazhou Liu, Haoran Sun, Zhaoqi Gong, Wenbo Ding

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuhao LiDepartment of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China.
Xiaowan XieDepartment of Oncology, Dandong Central Hospital, China Medical University, Dandong, China.
Yazhou LiuDepartment of Orthopedics, Dandong Central Hospital, Dalian Medical University, Dandong, China.
Haoran SunDepartment of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China.
Zhaoqi GongDepartment of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China.
Wenbo DingDepartment of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to examine the relationship between the insulin resistance (IR) biomarker, specifically triglyceride-glucose body mass index (TyG-BMI), and all-cause as well as cardiovascular mortality in patients diagnosed with osteoporosis. Methods: This study employed a prospective cohort design involving 302 patients diagnosed with osteoporosis, recruited between 2018 and 2020, with follow-up extending until 2024. During this period, occurrences of all-cause mortality (64 cases) and cardiovascular mortality (19 cases) were recorded. A comparative analysis was conducted in conjunction with other insulin resistance indices, including TyG, METS-IR, and TG/HDL-C. Restricted cubic spline and multivariable Cox proportional hazards regression analyses were utilized to elucidate the relationship between the TyG-BMI index and the risk of all-cause and cardiovascular mortality in patients with osteoporosis. Furthermore, subgroup analyses were performed to examine potential interactions and identify subpopulations at elevated risk of mortality. Results: TyG-BMI is significantly positively correlated with all-cause mortality (for each 1 unit increase, HR = 1.01, 95% CI: 1.00-1.02). Patients in the fourth quartile (Q4) have an almost 2.8-fold increased risk of all-cause mortality compared to those in the first quartile (Q1) (HR = 2.79, 95% CI: 1.16-6.73). The cardiovascular mortality rate is significantly higher in the TyG-BMI Q4 group (HR = 6.33, 95% CI: 1.19-33.80). ROC curve and DeLong test indicate that the predictive capacity of TyG-BMI for all-cause and cardiovascular mortality surpasses that of other insulin resistance indicators. Subgroup analyses further suggest that the risk of cardiovascular mortality is elevated in patients with low HDL, high serum calcium, and elevated creatinine levels. Conclusion: The TyG-BMI index exhibits a linear association with the risk of both all-cause mortality and cardiovascular mortality. Additionally, TyG-BMI functions as an independent predictor of mortality risk in patients with osteoporosis, with elevated values indicating a poorer prognosis. These findings highlight the significant role of IR in the progression of osteoporosis.

Indexed as

Blood GlucoseBody Mass IndexCardiovascular DiseasesOsteoporosisTriglyceridesAdultAgedBiomarkersCause of DeathFemaleFollow-Up StudiesHumansInsulin ResistanceMaleMiddle AgedPrognosisBiomarkersBlood GlucoseTriglyceridesall-cause mortalitycardiovascular mortalityinsulin resistanceosteoporosisTyG-BMI index

Identifiers

PMID41163684
PMCPMC12558730

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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 OpenQuestion graph.