Table · dataset · 2026
Data Sheet 1_Incremental value of insulin resistance surrogate indices beyond the CHA2DS2-VASc score for predicting thromboembolic events in patients with chronic heart failure and atrial fibrillation.pdf
Listed in figshare and Loughborough Research Repository — shown once because both records carry DOI 10.3389/fendo.2026.1954348.s002
Background<p>Patients with chronic heart failure (CHF) and atrial fibrillation (AF) are at high risk of thromboembolic events.
Description
Although the CHA<sub>2</sub>DS<sub>2</sub>-VASc score is widely used for risk stratification, it may not fully capture metabolic dysfunction. Whether insulin resistance (IR) surrogate indices provide incremental information beyond the CHA<sub>2</sub>DS<sub>2</sub>-VASc score in patients with CHF and AF remains unclear.</p>Methods<p>This retrospective cohort study included 4,474 patients with CHF and AF.
IR surrogate indices were calculated, and thromboembolic events were defined as ischemic stroke or systemic embolism (IS/SE). Multivariable Cox regression models assessed the associations between these indices and thromboembolic risk. Their incremental value beyond the CHA<sub>2</sub>DS<sub>2</sub>-VASc score for 4-year IS/SE risk was evaluated using discrimination, reclassification, and clinical utility measures, with stratification by AF type.</p>Results<p>During a median follow-up of 4.00 years, 349 IS/SE events occurred.
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After multivariable adjustment, the hazard ratios per 1-SD increase were 1.27 (95% confidence interval, 1.13–1.43) for the TyG index, 1.41 (1.28–1.56) for the TyG-BMI index, 1.27 (1.20–1.34) for METS-IR, and 1.13 (1.08–1.19) for the TG/HDL-C ratio (all P < 0.001). Risk increased progressively across tertiles of each index, and the associations remained consistent in competing-risk analyses. Adding METS-IR or the TyG-BMI index to the CHA<sub>2</sub>DS<sub>2</sub>-VASc score significantly increased the AUC from 0.637 to 0.682 and 0.673, respectively, and improved reclassification.
Decision curve analysis showed greater net benefit for models incorporating IR surrogate indices, particularly METS-IR and the TyG-BMI index. The incremental predictive improvements appeared more evident in patients with non-paroxysmal AF.</p>Conclusions<p>IR surrogate indices were independently associated with IS/SE in patients with CHF and AF. METS-IR and the TyG-BMI index provided the most consistent incremental information beyond the CHA<sub>2</sub>DS<sub>2</sub>-VASc score, with more evident improvements observed in patients with non-paroxysmal AF.</p>
Links
Where it is published
- DOI doi.org/10.3389/fendo.2026.1954348.s002 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Cell metabolism · Cell metabolism · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Humanities · Humanities · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science
- Inferred from text
- Heart 75% · Longitudinal study 65%
Provenance · 2 source records, 32 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33970624 | 10 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/33970624 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[anatomy].local:anatomy:heart | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:310103 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |