Preprint
Article

This version is not peer-reviewed.

Atherogenic Index of Plasma as Predictor for Cardiovascular Events and Cardiometabolic Diseases: The Pamela Study

Submitted:

13 March 2026

Posted:

16 March 2026

You are already at the latest version

Abstract
The Atherogenic Index of Plasma (AIP), ratio between triglycerides and high-density lipoprotein cholesterol, has been associated with cardiovascular (CV) events, metabolic syndrome and hypertension (HT)-related vascular organ damage. However, the majority of the published studies suffer from important limitations, such as the cross-sectional or retrospective nature and the performance in selected Asian populations only. To overcome these limitations, we performed an analysis of the data collected in the Pressioni Arteriose Monitorate E Loro Associazioni (PAMELA) study, providing longitudinal information on the relationships between AIP, diabetes mellitus (DM), HT and left ventricular hypertrophy LVH) in a western european general population. At the study entry baseline data were collected in 2035 subjects, while longitudinal data were obtained in 1412 subjects examined for a median follow-up time amounting to 10.7 years. 50.6% of the subjects were males. aged 50.9±13.7 (mean±SD) years. During the follow-up AIP did not significantly change (from -0.11±0.3 to -0.12±0.29 a.u., P=NS), while systolic BP and plasma glucose significantly increased with a significant relationship with HT, DM and LVH development (P <0.0001). At multivariable analysis, AIP significantly and independently predicted all the above-mentioned outcomes, with the exception of HT development based on home BP. The same significant association was detected for fatal and non-fatal CV events. These data provide evidence that in a general European population characterized by a low CV risk AIP significantly and independently predicts HT, DM and LVH development and is significantly associated with the composite outcome of CV morbidity and mortality.
Keywords: 
;  ;  ;  ;  ;  
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated