Download full-text PDF

Source
http://dx.doi.org/10.1093/eurjpc/zwae196DOI Listing

Publication Analysis

Top Keywords

diabetes co-existing
4
co-existing coronary
4
coronary artery
4
artery disease
4
disease associated
4
associated increased
4
increased risk
4
risk dementia
4
diabetes
1
coronary
1

Similar Publications

Objectives Diabetes mellitus type 2 is a chronic metabolic disorder characterized by insulin resistance and progressive beta-cell dysfunction. As diabetes persists over time, more pronounced symptoms like polyuria, polydipsia, fatigue, and complications like neuropathy, retinopathy, and cardiovascular issues may develop. Therefore, this study assessed the clinical symptoms associated with type 2 diabetes regarding the duration of diabetes.

View Article and Find Full Text PDF

Predictive value of system immune-inflammation index for the severity of coronary stenosis in patients with coronary heart disease and diabetes mellitus.

Sci Rep

December 2024

Department of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.

Coronary heart disease (CHD) has been recognized as a chronic progressive inflammatory disorder, and Diabetes mellitus (DM) is an independent risk factor for the pathogenesis of CHD. Recent research has underscored the systemic immune-inflammation index (SII) as a potent prognostic indicator for individuals suffering from acute coronary syndrome (ACS). This study aimed to delve into the relationship between SII and the degree of coronary atherosclerotic stenosis in non-acute myocardial infarction patients with or without DM.

View Article and Find Full Text PDF

The relationship between diabetes and hepatitis B remains unclear. We have found that there is no general correlation between the incidence of diabetes and hepatitis B, except in certain populations. Patients with co-existing diabetes and hepatitis B tend to have poorer overall prognoses, primarily evidenced by an increased risk of hepatocellular carcinoma (HCC) and all-cause mortality within this population.

View Article and Find Full Text PDF

Shared genetic architecture of type 2 diabetes with muscle mass and function and frailty reveals comorbidity etiology and pleiotropic druggable targets.

Metabolism

December 2024

Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address:

Background: Delineating the shared genetic architecture of type 2 diabetes with muscle mass and function and frailty is essential for unraveling the common etiology and developing holistic therapeutic strategies for these co-existing conditions.

Methods: In this genome-wide pleiotropic association study, we performed multi-level pairwise trait pleiotropic analyses using genome-wide association study summary statistics from up to 461,026 European ancestry individuals to dissect the shared genetic factors and causal relationships of type 2 diabetes and seven glycemic traits with four muscle mass- and function-related phenotypes and the frailty index.

Results: We first identified 27 pairs with significant genetic correlations through the linkage disequilibrium score regression and high-definition likelihood analysis.

View Article and Find Full Text PDF

: Chronic liver disease (CLD) is highly relevant in clinical practice due to its increasing incidence and associated mortality. We aimed to exhaustively characterize the multimorbidity of patients with CLD. : This is a retrospective observational study of patients aged 18 years and older with a diagnosis of CLD in 2015 in the EpiChron Cohort (Spain).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!