A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

Association of atherogenic index of plasma and its modified indices with stroke risk in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: a longitudinal analysis based on CHARLS. | LitMetric

Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: The association between the atherogenic index of plasma (AIP), its modified indices (such as AIP-waist circumference [AIP-WC], AIP-waist-to-height ratio [AIP-WHtR], AIP-body mass index[AIP-BMI]), and incident stroke in individuals with cardiovascular-kidney-metabolic (CKM) stages 0-3 remains understudied. This study investigated these associations and their utility for risk stratification.

Methods: Data from 3697 China Health and Retirement Longitudinal Study (CHARLS) participants (≥ 45 years, CKM stages 0-3) were analyzed. Baseline, cumulative, and changes in AIP and its modified indices (AIP-WC, AIP-WHtR, AIP-BMI) were calculated. Logistic regression, Delong's test, integrated discrimination improvement (IDI), weighted quantile sum (WQS) regression, and mediation analysis were used to assess associations, predictive performance, component contributions, and mediation effects.

Results: Stroke occurred in 4.8% of participants. Under the fully adjusted Model 3: The third level of AIP, AIP-WHtR, AIP-WC, and AIP-BMI showed increased risks (ORs 1.58 [95% CI 1.05-2.38], 1.99 [95% CI 1.31-3.02], 1.99 [95% CI 1.31-3.02], and 1.92 [95% CI 1.26-2.92], respectively); The third level of cumulative AIP, AIP-WHtR, AIP-WC, and AIP-BMI showed elevated risks (ORs 1.79 [95% CI 1.19-2.69], 2.07 [95% CI 1.37-3.13], 2.01 [95% CI 1.33-3.04], and 1.92 [95% CI 1.27-2.89], respectively); The third category of AIP, AIP-WHtR, AIP-WC, and AIP-BMI changes showed risk increases of 2.28 (95% CI 1.46-3.55), 2.39 (95% CI 1.50-3.79), 2.56 (95% CI 1.61-4.07), and 2.22 (95% CI 1.38-3.56). Modified AIP indices (especially AIP-WHtR) demonstrated superior predictive ability than AIP alone. The association was amplified in advanced CKM (stages 2-3) but not significant in early CKM (stages 0-1). Triglycerides (TG) primarily drove the AIP-WHtR-stroke risk, which was partially mediated by estimated pulse wave velocity (ePWV) (6.48%).

Conclusions: AIP and its modified indices, especially AIP-WHtR, are significantly associated with incident stroke in CKM stages 0-3. Dynamically monitoring changes in these indices is crucial for stroke risk assessment and stratification, particularly in advanced CKM. TG primarily drives this risk, while ePWV partially mediates the AIP-WHtR-stroke link.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12166641PMC
http://dx.doi.org/10.1186/s12933-025-02784-8DOI Listing

Publication Analysis

Top Keywords

ckm stages
20
modified indices
16
stages 0-3
16
aip modified
12
aip aip-whtr
12
aip-whtr aip-wc
12
aip-wc aip-bmi
12
association atherogenic
8
atherogenic plasma
8
stroke risk
8

Similar Publications