Evidence map›Paper›PMID 40486823›Full record

ArticleFrontiers in cardiovascular medicine2025

The association between insulin resistance-related markers and ASCVD with hyperuricemia: results from the 2005 to 2018 National Health and Nutrition Examination Survey.

Yujie Shi, Zuo Zhang, Jiajun Yang, Song Cui

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Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yujie ShiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zuo ZhangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jiajun YangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Song CuiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between insulin resistance and the comorbidity of ASCVD with hyperuricemia remains to be further explored. This study utilizes several insulin resistance indicators, including HOMA-IR, METS-IR, TyG, TyG-WHtR, TyG-WC, and TyG-BMI, to assess insulin resistance levels and investigate their association with the comorbidity of ASCVD and hyperuricemia in the study population. Methods: This cross-sectional study included 16,092 participants from the National Health and Nutrition Examination Survey conducted between 2005 and 2018. Participants younger than 20 years old and those with missing data for exposure-related indicators were excluded. Six insulin resistance-related traditional and novel indicators-HOMA-IR, METS-IR, TyG, TyG-WC, TyG-WHtR, and TyG-BMI-were used as exposure factors, while the outcome was ASCVD with hyperuricemia. This study's analyses incorporated sample weights, clustering, and stratification to account for the complex multi-stage stratified probability sampling design employed in NHANES. Results: A total of 523 patients were diagnosed with ASCVD with hyperuricemia. The results were adjusted for different covariates. METS-IR showed a consistent positive correlation with the outcome in all models, with model 3 indicating that for each unit increase, the OR was 1.04 (95% CI: 1.03-1.05, Conclusions: This NHANES-based study highlighted significant associations between insulin resistance indices, particularly METS-IR, TyG-WC, and TyG-WHtR, and ASCVD with hyperuricemia. Furthermore, it demonstrated the strong predictive capabilities of these indices for identifying individuals at risk for this comorbidity. These findings offer valuable insights into early detection and preventive strategies for ASCVD combined with hyperuricemia, emphasizing the practicality of these indices in clinical and public health settings.

Indexed as

ASCVDhyperuricemiainsulin resistanceNHANESTyG

Identifiers

PMID40486823
PMCPMC12141345

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