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Purpose: This study aims to analyze baseline profiles and longitudinal changes in Atherogenic Index of Plasma (AIP) among individuals with prediabetes to identify distinct AIP trajectories and assess their significance in predicting diabetes onset.
Methods: This retrospective cohort study analyzed data from 8346 participants who underwent multiple general health checks. Utilizing latent class trajectory modeling and Cox proportional hazards analyses, it examined the association between the AIP index and health outcomes.
Results: Over about 2 years, 2897 people progressed from prediabetes to diabetes. Individuals in the highest quartile of AIP had a higher diabetes risk compared to the lowest quartile (HR = 1.138, 95% CI1.013-1.278). Trajectory analysis revealed three groups: low-stable, moderate-stable, and high-stable, based on AIP index. The moderate-stable group showed a 1.117-fold risk of diabetes progression (95% CI1.026-1.217), while the high-stable group had an elevated risk (HR = 1.224, 95% CI1.059-1.415).
Conclusion: The study highlights a clear association between higher AIP index levels at baseline and an increased risk of diabetes progression. It underscores the significance of utilizing the AIP index as a predictive tool to identify those at risk, emphasizing the need for targeted preventive measures in managing diabetes progression.
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http://dx.doi.org/10.2147/DMSO.S481578 | DOI Listing |
Eur J Gastroenterol Hepatol
September 2025
Background: Prior studies have implicated diabetes as a risk factor for pancreatic cancer, yet the impact of diabetes progression on pancreatic cancer incidence remains unclear. We aim to assess pancreatic cancer risk across different stages of diabetes.
Methods: Employing a predefined search strategy, we conducted a literature review of electronic databases up to 29 February 2024.
Sci Adv
September 2025
Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Cell type-specific regulatory programs that drive type 1 diabetes (T1D) in the pancreas are poorly understood. Here, we performed single-nucleus multiomics and spatial transcriptomics in up to 32 nondiabetic (ND), autoantibody-positive (AAB), and T1D pancreas donors. Genomic profiles from 853,005 cells mapped to 12 pancreatic cell types, including multiple exocrine subtypes.
View Article and Find Full Text PDFEur Heart J Qual Care Clin Outcomes
September 2025
Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Background And Aims: Additional epidemiologic evidence is warranted regarding the appropriate timing of statin initiation for incidentally found dyslipidemia in general health check-ups. This study examined the association between the statin initiation timing and the risk of myocardial infarction (MI) in individuals with incidentally detected high low-density-lipoprotein cholesterol (LDL-C).
Methods: Participants aged 20 years or older who underwent annual health checkups from 2009 to 2012 were included.
PLoS One
September 2025
Department of Medicine, The Red Rogers Centre for Heart Research, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Background: In order to seriously impact the global burden of heart failure (HF) and coronary artery disease (CAD), identifying at-risk individuals as early as possible is vital. Risk calculator tools in wide clinical use today are informed by traditional statistical methods that have historically yielded only modest prediction accuracy.
Methods: This study uses machine learning algorithms to generate predictions models for the development and progression of severe HF and CAD.
J Alzheimers Dis
September 2025
Department of Medicine and Surgery, Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Università Campus Bio-Medico di Roma, Roma, Italy.
BackgroundAlzheimer's disease (AD) is the most common neurodegenerative disorder. While AD diagnosis traditionally relies on clinical criteria, recent trends favor a precise biological definition. Existing biomarkers efficiently detect AD pathology but inadequately reflect the extent of cognitive impairment or disease heterogeneity.
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