Association of non-insulin-based insulin resistance indices with the risk of aortic stenosis progression in patients with mild or moderate aortic stenosis

BACKGROUND: Aortic stenosis (AS) is a common progressive valvular disease with no approved medical therapy to slow progression. Insulin resistance may contribute to valvular degeneration, but the prognostic value of non-insulin-based insulin resistance (IR) indices remains uncertain. METHODS: We retrospectively analyzed 2,220 patients with mild-to-moderate AS from the WenZhou Valve Heart Disease registry. Four IR surrogates were assessed: triglyceride-glucose (TyG) index, TyG-BMI, atherogenic index of plasma (AIP), and metabolic score for insulin resistance (METS-IR). AS progression was defined as an annual increase in peak aortic jet velocity (ΔVmax/year) ≥0.3 m/s/year. Associations and predictive performance were evaluated using multivariable Cox regression, Kaplan-Meier analysis, restricted cubic splines, ROC curves, and sensitivity analyses. RESULTS: During a median follow-up of 3.03 years, 414 patients (18.6%) developed AS progression. After multivariable adjustment, the highest tertiles of TyG, AIP, and TyG-BMI were independently associated with higher progression risk, with HRs of 1.58 (95% CI: 1.20-2.07), 1.43 (95% CI: 1.10-1.85), and 1.52 (95% CI: 1.18-1.95), respectively. TyG showed the strongest standalone discrimination (AUC 0.638), outperforming AIP and METS-IR. Associations were stronger in hypertensive patients. Adding IR indices modestly improved discrimination and reclassification, especially for TyG-BMI. Sensitivity analyses confirmed robustness. CONCLUSION: TyG and AIP were independently associated with non-severe AS progression, while TyG-BMI improved risk classification. These routine metabolic markers may help guide closer echocardiographic surveillance and metabolic risk management.

Authors

Institutions

Publication Details

Journal
Annals of Medicine
Published
2026-07-01
DOI
https://doi.org/10.1080/07853890.2026.2690740
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of non-insulin-based insulin resistance indices with the risk of aortic stenosis progression in patients with mild or moderate aortic stenosis

Ruihao Jiang, Ken Lin, Weicheng Ni, Yuanzhen Lin et al.
Annals of Medicine
Cardiac Valve Diseases and Treatments
article

Association of non-insulin-based insulin resistance indices with the risk of aortic stenosis progression in patients with mild or moderate aortic stenosis

Ruihao Jiang, Ken Lin, Weicheng Ni, Yuanzhen Lin, Qingwei Ni, Zhongda Zhu, Changxi Chen, Xuliang Ying, Jing Chen, Hao Zhou
article en

Abstract

BACKGROUND: Aortic stenosis (AS) is a common progressive valvular disease with no approved medical therapy to slow progression. Insulin resistance may contribute to valvular degeneration, but the prognostic value of non-insulin-based insulin resistance (IR) indices remains uncertain. METHODS: We retrospectively analyzed 2,220 patients with mild-to-moderate AS from the WenZhou Valve Heart Disease registry. Four IR surrogates were assessed: triglyceride-glucose (TyG) index, TyG-BMI, atherogenic index of plasma (AIP), and metabolic score for insulin resistance (METS-IR). AS progression was defined as an annual increase in peak aortic jet velocity (ΔVmax/year) ≥0.3 m/s/year. Associations and predictive performance were evaluated using multivariable Cox regression, Kaplan-Meier analysis, restricted cubic splines, ROC curves, and sensitivity analyses. RESULTS: During a median follow-up of 3.03 years, 414 patients (18.6%) developed AS progression. After multivariable adjustment, the highest tertiles of TyG, AIP, and TyG-BMI were independently associated with higher progression risk, with HRs of 1.58 (95% CI: 1.20-2.07), 1.43 (95% CI: 1.10-1.85), and 1.52 (95% CI: 1.18-1.95), respectively. TyG showed the strongest standalone discrimination (AUC 0.638), outperforming AIP and METS-IR. Associations were stronger in hypertensive patients. Adding IR indices modestly improved discrimination and reclassification, especially for TyG-BMI. Sensitivity analyses confirmed robustness. CONCLUSION: TyG and AIP were independently associated with non-severe AS progression, while TyG-BMI improved risk classification. These routine metabolic markers may help guide closer echocardiographic surveillance and metabolic risk management.

Annals of MedicineVol. 58(1)
Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Good health and well-being
Openalex Percentile: Top 7%
Cardiac Valve Diseases and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.