Aims/hypothesis: The aim of this study was to investigate the association between visit-to-visit variability in HbA and cognitive function decline in the elderly population.
Methods: We performed a pooled analysis of two prospective population-based cohorts (the Health Retirement Study [HRS] and the English Longitudinal Study of Ageing [ELSA]). Cognitive function, including memory and executive function, were assessed at baseline and every 2 years, while HbA levels were assessed at baseline and every 4 years. Visit-to-visit variability (VVV) in HbA was calculated using the CV, SD and variation independent of the mean (VIM) during the follow-up period. Linear mixed models were used to evaluate the association between HbA variability and cognitive function decline with adjustment for demographics, mean HbA, education, smoking, alcohol consumption, BMI, baseline hypertension, baseline diabetes status and HDL-cholesterol.
Results: The study enrolled 6237 participants (58.23% women, mean age 63.38 ± 8.62 years) with at least three measurements of HbA. The median follow-up duration was 10.56 ± 1.86 years. In the overall sample, compared with the lowest quartile of HbA variability, participants in the highest quartile of HbA variability had a significantly worse memory decline rate (-0.094 SD/year, 95% CI -0.185, -0.003) and executive function decline rate (-0.083 SD/year, 95% CI -0.125, -0.041), irrespective of mean HbA values over time. Among individuals without diabetes, each 1-SD increment in HbA CV was associated with a significantly higher rate of memory z score decline (-0.029, 95% CI -0.052, -0.005) and executive function z score decline (-0.049, 95% CI -0.079, -0.018) in the fully adjusted model.
Conclusions/interpretation: We observed a significant association between long-term HbA variability and cognitive decline among the non-diabetic population in this study. The effect of maintaining steady glucose control on the rate of cognitive decline merits further investigation.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00125-019-04986-8 | DOI Listing |
Background: This study aimed to evaluate the efficacy of third-generation sequencing (TGS) and a thalassemia (Thal) gene diagnostic kit in identifying Thal gene mutations.
Methods: Blood samples (n = 119) with positive hematology screening results were tested using polymerase chain reaction (PCR)-based methods and TGS on the PacBio-Sequel-II-platform, respectively.
Results: Out of the 119 cases, 106 cases showed fully consistent results between the two methods, with TGS identified HBA1/2 and HBB gene mutations in 82 individuals.
JACC Asia
December 2024
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
J Clin Med
December 2024
Wessex Cardiothoracic Centre, Division of Cardiac Surgery, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Perioperative dysglycaemia in cardiac surgery is associated with poor outcomes. Glycaemic variability rather than glucose levels is a predictor of the length of an ICU stay, a rise in creatinine and acute kidney injury after cardiac surgery. Glycated haemoglobin (HbA) values correspond closely to average blood glucose levels and cut-off values can be used to define a diabetic and pre-diabetic status.
View Article and Find Full Text PDFAntibiotics (Basel)
November 2024
Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, Iuliu Hatieganu University of Medicine and Pharmacy, 8 Victor Babeș, Street, 400012 Cluj-Napoca, Romania.
Background: Blackcurrant ( L.) leaves are valuable sources of bioactive compounds, including phenolic acids, flavonoids, and tannins, which contribute to their potent antioxidant, anti-inflammatory, and antimicrobial properties.
Objectives: The overall aim of this study was to investigate the antimicrobial potential of extracts rich in bioactive compounds from blackcurrant leaves prepared in natural deep eutectic solvents (NaDESs).
JCEM Case Rep
January 2025
Department of Endocrinology, St. Luke's University Health Network, Bethlehem, PA 18015, USA.
Routine serum studies in a female patient with sustained prediabetic glycated hemoglobin A (HbA) levels, controlled on metformin, yielded an unexpected finding: an elevated HbA value of ≥14.9% (≥139 mmol/mol) (normal reference range, <5.7% to <39 mmol/mol).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!