Diabetes mellitus is increasingly becoming an older person disease due to the increased survival and aging of the population. Previous studies which showed benefits of tight glycemic control and a linear relationship between HbA1c and mortality have largely included younger patients newly diagnosed with diabetes and with less comorbidities. Recent studies, which included older population with diabetes, have shown a U-shaped relationship of increased mortality associated with low HbA1c. The mechanism of such relationship is unclear. There was no direct causal link between low HbA1c and mortality. It appears that malnutrition, inflammation and functional decline are characteristics shared by the populations that showed increased mortality and low HbA1c. In these studies functional status, disability or frailty was not routinely measured. Therefore, although adjustment for comorbidities was made there may be a residual confounding by unmeasured factors such as frailty. Thus, frailty or decline in functional reserve may be the main confounding factor explaining the relationship between increased mortality risk and low HbA1c.
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http://dx.doi.org/10.14336/AD.2014.1022 | DOI Listing |
Pak J Med Sci
January 2025
Sadia Anwer Research Student, Biochemistry, Federal Urdu University of Arts, Science & Technology, Karachi, Pakistan.
Objective: To explore the effect of seeds powder { 500 mg} capsule in diabetes Type-2 (T2DM) patients in Karachi.
Methods: A randomized selection of 40 T2DM patients from Sindh Government Hospital New Karachi with their consents was done for a non-blinded controlled trial from October to December 2019 and divided into P (Positive Control, metformin 500 mg) & T (Test, + was also included, using the same dosage of CapCASP on twenty healthy volunteers. The data were analyzed using an online graph pad student's t-test and a one-way ANOVA (SPSS version 24) metformin 500mg each).
Rev Cardiovasc Med
January 2025
Department of Cardiology, The Second Affiliated Hospital of Xuzhou Medical University, 221000 Xuzhou, Jiangsu, China.
Background: This study aimed to analyze the metabolic risk factors for microcirculation disorders in patients with unstable angina (UA) after percutaneous coronary intervention (PCI), evaluating their predictive value for developing microcirculation disorders.
Methods: A single-center retrospective study design was used, which included 553 patients with UA who underwent PCI. The angiographic microcirculatory resistance (AMR) index was calculated based on coronary angiography data.
Rev Cardiovasc Med
January 2025
Department of Cardiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 210008 Nanjing, Jiangsu, China.
Background: Aspirin treatment is recommended as a secondary prevention strategy and could be a potential primary prevention strategy for cardiovascular disease (CVD) in patients with type 2 diabetes mellitus (T2DM). However, aspirin resistance is notably common among diabetic patients, compromising the efficacy of aspirin treatment. Hence, our study sought to assess the clinical predictors of aspirin resistance (AR) in T2DM patients.
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January 2025
Thoracic Clinical College, Tianjin Medical University, 300070 Tianjin, China.
Background: Studies using machine learning to identify the target characteristics and develop predictive models for coronary artery disease severity in patients with premature myocardial infarction (PMI) are limited.
Methods: In this observational study, 1111 PMI patients (≤55 years) at Tianjin Chest Hospital from 2017 to 2022 were selected and divided according to their SYNTAX scores into a low-risk group (≤22) and medium-high-risk group (>22). These groups were further randomly assigned to a training or test set in a ratio of 7:3.
Diabetes Technol Ther
January 2025
Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby, United Kingdom.
To evaluate real-world outcomes in adults with type 1 diabetes initiating open-source automated insulin delivery systems (OS-AID). Adults with type 1 diabetes who commenced OS-AID, between May 2016 and April 2021, across 12 centers in the United Kingdom were included. Anonymized clinical data, collected during routine clinical care between December 2019 and November 2023, were submitted to a secure web-based tool within the National Health Service network.
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