Objective: The inverse relationship between overall glucose control and hypoglycemia risk is weakened by the use of real-time continuous glucose monitoring (rtCGM). We assess the relationship between glucose control and hypoglycemia in people with type 1 diabetes using multiple-dose injection (MDI) regimens, including those at highest risk of hypoglycemia.
Research Design And Methods: CGM data from the intervention (rtCGM) and control (self-monitored blood glucose [SMBG]) phases of the Multiple Daily Injections and Continuous Glucose Monitoring in Diabetes (DIAMOND) and HypoDE studies were analyzed. The relationship between glucose control (HbA and mean rtCGM glucose levels) and percentage time spent in hypoglycemia was explored for thresholds of 3.9 mmol/L (70 mg/dL) and 3.0 mmol/L (54 mg/dL), and ANOVA across the range of HbA and mean glucose was performed.
Results: A nonlinear relationship between mean glucose and hypoglycemia was identified at baseline, with the steepest relationship seen at lower values of mean glucose. The use of rtCGM reduces the exposure to hypoglycemia at all thresholds and flattens the relationship between overall glucose and hypoglycemia, with the most marked impact at lower values of mean glucose and HbA. Exposure to hypoglycemia varied at all thresholds across the range of overall glucose at baseline, in the SMBG group, and with rtCGM, but the relationships were weaker in the rtCGM group.
Conclusions: Use of rtCGM can flatten and attenuate the relationship between overall glucose control and hypoglycemia, exerting its greatest impact at lower values of HbA and mean glucose in people with type 1 diabetes using MDI regimens and at highest risk of hypoglycemia.
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http://dx.doi.org/10.2337/dc19-0977 | DOI Listing |
Sci Rep
December 2024
Department of Orthopedic, The Affiliated Chuzhou Hospital of Anhui Medical University, Chuzhou, 239000, Anhui, China.
This study aims to investigate the relationship between the triglyceride-glucose index (TyG) and all-cause mortality as well as cardiovascular mortality in arthritis patients. Additionally, it seeks to analyze the nonlinear characteristics and threshold effects of TyG index. We included 5,559 adult participants with arthritis from the 1999-2018 National Health and Nutrition Examination Survey (NHANES).
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December 2024
The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Nanjing, China, 214000.
Individuals afflicted with heart failure complicated by sepsis often experience a surge in blood glucose levels, a phenomenon known as stress hyperglycemia. However, the correlation between this condition and overall mortality remains unclear. 869 individuals with heart failure complicated by sepsis were identified from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and categorized into five cohorts based on their stress hyperglycemia ratio (SHR).
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December 2024
Division of Joint Surgery and Sports Medicine, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Lines of evidence have indicated that type 2 diabetes mellitus (T2DM) is an independent risk factor for osteoarthritis (OA) progression. However, the study focused on the relationship between T2DM and OA at the transcriptional level remains empty. We downloaded OA- and T2DM-related bulk RNA-sequencing and single-cell RNA sequencing data from the Gene Expression Omnibus (GEO) dataset.
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December 2024
Department of Cardiology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
The cardiovascular kidney metabolic (CKM) syndrome is a dynamic geriatric condition that has received limited research attention regarding its potential associations with the triglyceride glucose (TyG) index. This study aims to explore the potential association between the TyG index and advanced CKM syndrome. Data for this cross-sectional study were obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018.
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December 2024
Department of Statistical Science, Duke University, Durham, 27708-0251, USA.
The article is motivated by an application to the EarlyBird cohort study aiming to explore how anthropometrics and clinical and metabolic processes are associated with obesity and glucose control during childhood. There is interest in inferring the relationship between dynamically changing and high-dimensional metabolites and a longitudinal response. Important aspects of the analysis include the selection of the important set of metabolites and the accommodation of missing data in both response and covariate values.
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