Evidence map›Paper›PMID 41877468›Full record

ArticleAnatolian journal of cardiology2026

The Relation Between the Aggregate Index of Systemic Inflammation and the Mortality Rate of Cardiovascular Disease in the Elderly Population.

Yuefei Sun, Wenjuan Wang, Ying Feng

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Article in Anatolian journal of cardiology, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yuefei SunDepartment of Geriatrics, First Affiliated Hospital of Huzhou University (the First People's Hospital of Huzhou), Huzhou, Zhejiang Province, China.
Wenjuan WangDepartment of Cardiology, First Affiliated Hospital of Huzhou University (the First People's Hospital of Huzhou), Huzhou, Zhejiang Province, China.
Ying FengDepartment of Geriatrics, First Affiliated Hospital of Huzhou University (the First People's Hospital of Huzhou), Huzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is a leading cause of death in older adults and is closely associated with inflammation. The aggregate index of systemic inflammation (AISI), a novel biomarker, may predict CVD mortality in this population. To analyze the association between AISI levels and CVD mortality in the older population.

methodsThis study was based on the National Health and Nutrition Examination Survey (NHANES) database. By constructing weighted Kaplan-Meier (K-M) survival curves and Cox proportional hazards models, the link between AISI levels and CVD mortality rate were analyzed in the elderly. The restricted cubic spline (RCS) was applied to elucidate the non-linear link. A random survival forest model was constructed to assess the predictive value of multiple variables.

resultsOne thousand three hundred nineteen CVD death events were recorded. The weighted K-M survival curve manifested that the CVD mortality risk was considerably higher in the highest tertile group than in the lowest tertile. In the model with full adjustments, each one-unit increase in AISI was associated with a 1.52-fold higher risk of death (HR = 1.52, 95% CI: 1.30-1.76, P < .001), and a non-linear relationship was detected (P-non-linear = .0001). When AISI was above the threshold of 263.43, the CVD mortality risk was significantly elevated (HR = 1.99, 95% CI: 1.59-2.49, P < .001). No significance was observed below this threshold. AISI had the highest predictive value for CVD mortality in the elderly.

conclusionThe AISI is an effective indicator for predicting the CVD mortality risk in the elderly, especially when AISI reaches high levels. #This work was equally contributed to by the authors.

Identifiers

PMID41877468
PMCPMC13343259

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