Aims: To identify change in glycated haemoglobin (HbA1c) for 1 year after treatment intensification in patients with HbA1c >53 mmol/mol (7.0%) while on two classes of oral antidiabetic drugs (OADs).
Material And Methods: A retrospective cohort study was conducted using a regional health plan claims database for the period January 1, 2010 to March 31, 2017. Patients with type 2 diabetes (T2DM) whose treatment was intensified with insulin, a glucagon-like peptide-1 receptor agonist or a third OAD within 365 days of having HbA1c ≥53 mmol/mol (7.0%) on two OADs were included. The HbA1c trajectory for 1 year after intensification was estimated using a mixed-effects regression model.
Results: The analysis included 1226 patients with a mean ± SD HbA1c at treatment intensification of 74.2 ± 18.7 mmol/mol (8.93 ± 1.7%). HbA1c was higher in the insulin group (74.2 mmol/mol) than in the non-insulin group (70.6 mmol/mol), as was the HbA1c decrease (P < 0.01) over the 1-year follow-up, particularly in patients with baseline HbA1c >9%. After intensification, insulin- and non-insulin-treated patients achieved an average change by month in HbA1c of -4.7 mmol/mol and -2.6 mmol/mol points, respectively. The analysis predicted HbA1c to be the lowest at 6 to 10 months post intensification, depending on intensification treatment and HbA1c at intensification; however, on average, HbA1c remained above 64.0 mmol/mol (8.0%).
Conclusion: In patients with T2DM, intensification following an HbA1c value ≥53 mmol/mol (7.0%) while on two OADs was associated with a significant improvement in glycaemic control. Patients intensified with insulin had a higher baseline HbA1c but greater HbA1c reduction than those intensified with a non-insulin agent. However, HbA1c remained above 64 mmol/mol (8.0%) overall. Additional opportunity exists to further intensify therapy to improve glycaemic control.
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http://dx.doi.org/10.1111/dom.13694 | DOI Listing |
J Med Internet Res
January 2025
Department for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Background: Digital technologies for type 2 diabetes mellitus (T2DM) care hold great potential to improve patients' health in the long term. Only a subset of telemedicine offerings are digital interventions that meet the criteria for prescribable digitale Gesundheitsanwendung (digital health apps; DiGAs) in Germany. Digital treatments further provide vast amounts of patient data that are important to generate evidence.
View Article and Find Full Text PDFDiabetes Care
January 2025
Clinical Population and Sciences Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, U.K.
Objective: Diabetes is a potential late consequence of childhood and young adult cancer (CYAC) treatment. Causative treatments associated with diabetes have been identified in retrospective cohort studies but have not been validated in population-based cohorts. Our aim was to define the extent of diabetes risk and explore contributory factors for its development in survivors of CYAC in the United Kingdom.
View Article and Find Full Text PDFJ Diabetes
January 2025
Joslin Diabetes Center, Affiliated With Harvard Medical School, Boston, Massachusetts, USA.
Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are established treatment options for type 2 diabetes (T2D). In addition to their glycemic benefit, GLP-1 RAs also induce weight loss by suppressing appetite via hypothalamic pathways. However, it remains unclear whether weight reduction is the primary driver of glycemic improvement.
View Article and Find Full Text PDFEndocrine
January 2025
Department of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, 28006, Spain.
Purpose: This study aims to evaluate the association between psychiatric disorders and diabetic ketoacidosis (DKA) in patients with type 1 diabetes (T1D) treated at a tertiary care hospital.
Methods: A propensity score-matched case-control study was conducted, comprising a total sample of 194 participants (97 DKA cases and 97 controls without DKA). Comprehensive data were collected on clinical, anthropometric, and socioeconomic characteristics, and psychiatric disorders were classified according to international standards.
Eur J Nutr
January 2025
Department of Public Health, Section for General Practice, University of Copenhagen, Copenhagen, Denmark.
Purpose: To examine the associations and substitutions of dietary sugars [extrinsic (free) or intrinsic (non-free)] as well as dietary starch and fiber intakes for indices of body fat and cardiometabolic health.
Methods: Dietary intake was assessed at multiple times using multi-day 24-hour recalls over 18-months for indices of body fat (body fat %, waist circumference, BMI, and weight change) (n = 1066) and at baseline and 12 months for cardiometabolic outcomes (LDL, HDL, HbA1c) (n = 736). Bayesian modeling was applied to analyze the probabilistic impact of dietary carbohydrate components using credible intervals for association and substitution analyses with repeated measures random effects modeling.
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