Aim: PREDICTIVEtrade mark (Predictable Results and Experience in Diabetes through Intensification and Control to Target: An International Variability Evaluation) is a large, multi-national, observational study assessing the safety and efficacy of insulin detemir. We report the study design, population characteristics and baseline observations, including cross-sectional analysis, from 19 911 patients with type 1 or 2 diabetes.
Methods: Patients with type 1 or 2 diabetes requiring basal insulin are prescribed insulin detemir and followed up for 12-52 weeks. Data on demographics, haemoglobin A(1c) (HbA(1c)), fasting glucose, within-subject fasting glucose variability and weight are collected from patient records (and/or recall for hypoglycaemia). A negative binomial distribution model is used to assess the influence of predictive/confounding variables on hypoglycaemic episodes in insulin-treated patients at baseline. Multi-factorial analysis of covariance is used to evaluate the association of the variables with current body weight and within-subject fasting glucose variability.
Results: Total hypoglycaemic episodes in the 4 weeks prior to study start were 47.5 per patient-year in patients with type 1 and 9.2 per patient-year in patients with type 2 diabetes. The frequency of hypoglycaemia in insulin-treated patients showed a significant, positive association with duration of diabetes, number of insulin injections and fasting glucose variability but was inversely related to HbA(1c), fasting glucose and body mass index. Weight showed a significant positive association with gender (male > female) and insulin dosage. Weight was also positively associated with fasting glucose variability in patients with type 1 diabetes, and age and number of injections in patients with type 2 diabetes.
Conclusions: These baseline data showed that, in addition to the established relationship with intensive treatment and HbA(1c), frequency of hypoglycaemia was positively associated with fasting glucose variability. Follow-up data from PREDICTIVE will provide insights on insulin detemir in diabetes management.
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http://dx.doi.org/10.1111/j.1463-1326.2006.00677.x | DOI Listing |
BMC Gastroenterol
January 2025
Health Management Center, the First Affiliated Hospital of Zhejiang University School of Medicine, No.79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China.
Objectives: Over 30% of people worldwide suffer from metabolic dysfunction-associated steatotic liver disease (MASLD), a significant global health issue. Identifying and preventing high-risk individuals for MASLD early is crucial. The purpose of our study is to investigate the factors related to the development of MASLD and develop a risk prediction model for its occurrence.
View Article and Find Full Text PDFAdv Skin Wound Care
January 2025
At University of Texas Southwestern Medical Center, Dallas, Texas, United States, Yi-Ting Tzen, PhD, is Assistant Professor, Department of Applied Clinical Research, Department of Physical Medicine and Rehabilitation, and Department of Orthopaedic Surgery; Wei-Han Tan, MD, is Assistant Professor, VA North Texas Health Care System, Dallas, and Department of Physical Medicine and Rehabilitation; Patricia T. Champagne, PhD, is Postdoctoral Fellow, Department of Applied Clinical Research and Department of Physical Medicine and Rehabilitation; Jijia Wang, PhD, is Assistant Professor, Department of Applied Clinical Research; and Merrine Klakeel, DO, is Assistant Professor, Department of Physical Medicine and Rehabilitation. Kath M. Bogie, DPhil, is Professor, Department of Orthopaedics, Case Western Reserve University, Cleveland, Ohio, United States, and VA Northeast Ohio Healthcare System, Cleveland. Timothy J. Koh, PhD, is Professor, Department of Kinesiology and Nutrition, University of Illinois at Chicago, Illinois, United States.
Objective: To identify markers associated with pressure injury (PrI) history in individuals with spinal cord injury (SCI) using two approaches: skin blood flow (SBF) response toward localized heating, and serum marker for insulin resistance.
Methods: For this cross-sectional, observational study of adults with chronic traumatic SCI at T12 and above, researchers recruited two groups of participants: with history of PrI (group 1), and without history of PrI (group 2). The study protocol included obtaining fasting blood samples and measurement of SBF at bilateral heels with localized heating of 42 °C for 30 minutes from all participants.
Diabetes
January 2025
Department of Geriatrics, Peking University Shenzhen Hospital, Shenzhen, China.
Insulin resistance, a hallmark of type 2 diabetes, accelerates muscle breakdown and impairs energy metabolism. However, the role of Ubiquitin Specific Peptidase 2 (USP2), a key regulator of insulin resistance, in sarcopenia remains unclear. Peroxisome proliferator activated receptor γ (PPARγ) plays a critical role in regulating muscle atrophy.
View Article and Find Full Text PDFDiabetes Care
January 2025
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Objective: We investigated associations between per- and polyfluoroalkyl substances (PFAS) and changes in diabetes indicators from pregnancy to 12 years after delivery among women with a history of gestational diabetes mellitus (GDM).
Research Design And Methods: Eighty Hispanic women with GDM history were followed from the third trimester of pregnancy to 12 years after delivery. Oral and intravenous glucose tolerance tests were conducted during follow-up.
Diabetes
January 2025
School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China.
Increasing evidence suggests that individuals infected with Coronavirus disease 2019 (COVID-19) are at a higher risk of developing type 2 diabetes (T2D) compared to those who are not infected. However, the mechanisms underlying this relationship remain poorly understood. In this study, we aimed to systematically evaluate the mediating roles of 3,283 plasma proteins in the link between COVID-19 susceptibility and T2D by conducting proteome-wide Mendelian randomization (MR) analyses.
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