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Aims: Hemoglobin glycation index (HGI) is closely associated with adverse outcomes in several diseases. However, few studies have investigated the correlation between HGI and prognosis in patients with critical ischemic stroke.
Methods: A cohort of patients was established from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Kaplan-Meier analysis, multivariate regression models, and restricted cubic splines (RCS) were used to investigate the associations between HGI and different outcomes. Mediation models were constructed to determine the mediating role of white blood cell (WBC) counts.
Results: This study included 2,332 participants. In-hospital mortality differs significantly across HGI groups (24.43 %, 11.82 %, and 10.14 %, P < 0.001). Multivariate regression analyses found that lower HGI was significantly associated with greater mortality risk. Nonlinear analyses revealed an L-shaped association between HGI and short-term mortality (30-day and in-hospital), while a reverse J-shaped relationship emerged for long-term (365-day) mortality. Mediation analysis revealed that WBC counts mediated the association with proportions (%) of 33.73, 19.65, and 30.00, respectively.
Conclusion: Lower HGI is consistently related to poorer outcomes in patients with critical ischemic stroke. Higher HGI could be a protective factor in the short term but might increase mortality risk in the long term. WBC counts significantly mediate the association.
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http://dx.doi.org/10.1016/j.diabres.2025.112105 | DOI Listing |
Diabetes Metab Syndr Obes
September 2025
Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.
Insulin therapy remains a cornerstone in the management of type 2 diabetes mellitus (T2DM), especially in patients experiencing progressive loss of pancreatic beta-cell function or those with inadequate glycemic control despite oral antidiabetic therapy. This review synthesized clinical outcomes from 44 peer-reviewed case reports published between 2019 and 2024, identified through systematic searches in PubMed and Scopus. The included cases involved 15 males and 29 females, with patient ages ranging from 11 to 91 years (mean 53 ± 20.
View Article and Find Full Text PDFCureus
August 2025
Department of Family Medicine, Akram and Rasool Hospital, Sarai Alamgir, PAK.
Background: Patients with type 2 diabetes mellitus (T2DM) often experience hypoglycemia, an underappreciated consequence that has a major negative influence on treatment compliance and quality of life.
Objective: This study aimed to determine the prevalence and associated factors of hypoglycemia among patients with T2DM, with a focus on treatment types, comorbidities, and glycemic control. By providing population-specific data, the study intends to inform clinical decision-making and contribute to safer, more personalized diabetes management strategies.
EClinicalMedicine
October 2025
Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are established treatments for obesity. However, it remains inconclusive whether the combination of lifestyle modifications and GLP-1RA interventions can lead to greater weight loss and better control of cardiovascular biomarkers. We aimed to evaluate the efficacy of this combination therapy on weight loss and cardiometabolic markers in adults with overweight or obesity.
View Article and Find Full Text PDFDiabetes Obes Metab
September 2025
School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Aim: To estimate the healthcare and economic burden associated with improved risk factor control for people with type 2 diabetes in Hong Kong over 10 years.
Materials And Methods: We obtained population-based data from electronic healthcare records of the Hong Kong Hospital Authority. Risk factor targets were defined by American Diabetes Association guidelines.
PLoS One
September 2025
Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
There is a lack of longitudinal data on type 2 diabetes (T2D) in low- and middle-income countries. We leveraged the electronic health records (EHR) system of a publicly funded academic institution to establish a retrospective cohort with longitudinal data to facilitate benchmarking, surveillance, and resource planning of a multi-ethnic T2D population in Malaysia. This cohort included 15,702 adults aged ≥ 18 years with T2D who received outpatient care (January 2002-December 2020) from Universiti Malaya Medical Centre (UMMC), Kuala Lumpur, Malaysia.
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