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Objectives: To investigate how the co-occurrence of diabetes, hypertension and overweight/obesity is associated with pain following an exercise intervention for knee and hip osteoarthritis (OA).
Methods: Register-based cohort study. We included people from the Swedish Osteoarthritis Register who underwent education and exercise for knee or hip OA. Diabetes and hypertension were defined using medical records and dispensation of medication. Body Mass Index (BMI) was used to identify people with overweight (≥25 to <30), and obesity (≥30). We used linear mixed-effect models with patients nested into clinics to estimate the associations between the exposures and pain (Numeric Rating Scale 0-10), adjusting for age, sex, education, and physical activity.
Results: We analysed 80,893 patients with knee or hip OA. The accumulation of metabolic conditions was associated with worse pain at baseline and follow-ups. When obesity, hypertension and diabetes coexisted, patients treated for knee OA reported more pain at baseline (adjusted mean pain difference 0.9 [95 %CI: 0.8; 1.0]), 3 months (1.0 [0.9; 1.1]) and 12 months (1.3 [1.1; 1.4]) compared to those without any of the conditions. Similar results were observed for patients treated for hip OA when obesity, hypertension and diabetes coexisted (baseline (0.7 [0.5; 0.8], 3 (0.8[0.6; 1.0]) and 12 months (1.1[0.8; 1.3]).
Conclusions: When diabetes, hypertension and obesity coexist with OA, patients not only experience heightened baseline pain compared to metabolically healthy individuals, but the disparity increases after an education and exercise intervention suggesting that a one-size-fits-all approach may be inadequate in addressing the complex interplay between metabolic health and OA.
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http://dx.doi.org/10.1016/j.joca.2024.05.005 | DOI Listing |
Injury
September 2025
Washington University School of Medicine, Department of Orthopaedic Surgery, St. Louis, MO, USA. Electronic address:
Introduction: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are increasingly prescribed for Type 2 diabetes and obesity due to their cardiometabolic benefits. However, their effects on fracture healing remain controversial. This study investigates perioperative GLP-1 RA use and outcomes following surgical treatment of lower extremity (LE) fractures.
View Article and Find Full Text PDFEye (Lond)
September 2025
Department of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan city, Taiwan.
Background: Diabetic retinopathy (DR) is the leading cause of preventable blindness. Although hyperglycaemia is the primary driver, other modifiable risk factors may contribute to DR development. This study investigated the association between haemoglobin levels and DR risk in adults with type 2 diabetes.
View Article and Find Full Text PDFBr J Cancer
September 2025
School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Background: Studies examining the association of chronic kidney disease (CKD) with cancer risk have demonstrated conflicting results.
Methods: This was an individual participant data meta-analysis including 54 international cohorts contributing to the CKD Prognosis Consortium. Included cohorts had data on albuminuria [urine albumin-to-creatinine ratio (ACR)], estimated glomerular filtration rate (eGFR), overall and site-specific cancer incidence, and established risk factors for cancer.
Int J Cardiol
September 2025
Federico II University, Naples, Italy; Federico II University Hospital, Naples, Italy. Electronic address:
Background: Peripartum cardiomyopathy (PPCM) is a rare, life-threatening form of heart failure occurring in late pregnancy or postpartum, with variable clinical course and outcomes. We report preliminary clinical and echocardiographic findings from a national Italian registry of PPCM patients METHODS: The study was approved by the institutional Ethics Committee and registered at ClinicalTrials.gov (NCT05878041).
View Article and Find Full Text PDFPhotodiagnosis Photodyn Ther
September 2025
Department of Ophthalmology, People's Hospital of Feng Jie, Chongqing, 404600, China. Electronic address:
Objective: This study aims to develop a robust, multi-task deep learning framework that integrates vessel segmentation and radiomic analysis for the automated classification of four retinal conditions- diabetic retinopathy (DR), hypertensive retinopathy (HR), papilledema, and normal fundus-using fundus images.
Materials: AND.
Methods: A total of 2,165 patients from eight medical centers were enrolled.