ArticleWorld journal of diabetes2024
Relationship between hemoglobin glycation index and risk of hypoglycemia in type 2 diabetes with time-in-range in target.
Article in World journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association Between Hemoglobin Glycation Index and Mortality in Critically Ill Patients With Atrial Fibrillation: A Retrospective Cohort Study.Clinical cardiology · 2026Article
- Associations of Hemoglobin Glycation Index with Glucose Variability and Time in Ranges in Patients with Type 2 Diabetes Undergoing Continuous Glucose Monitoring.International journal of medical sciences · 2026Article
- Association of hemoglobin glycation index with the severity and mortality of cardiovascular-kidney-metabolic syndrome: a population-based cohort study.Cardiovascular diabetology. Endocrinology reports · 2025Article
- Relationship between hemoglobin glycation index and all-cause mortality in patients with acute myocardial infarction: based on MIMIC-IV database.Diabetology & metabolic syndrome · 2025Article
- The Association Between the Hemoglobin Glycation Index and Cardiometabolic Diseases: A Mini-Review.Journal of clinical hypertension (Greenwich, Conn.) · 2025Review
- Relationship between hemoglobin glycation index and Cushing's syndrome: a cross-sectional study in Chinese populations.Frontiers in endocrinology · 2025Article
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9 authors.
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Abstract
backgroundIn patients with type 2 diabetes mellitus (T2DM), the risk of hypoglycemia also occurs in at a time-in-range (TIR) of > 70%. The hemoglobin glycation index (HGI) is considered the best single factor for predicting hypoglycemia, and offers new perspectives for the individualized treatment of patients with well-controlled blood glucose levels that are easily ignored in clinical settings.
aimTo investigate the relationship between HGI and hypoglycemia and the implications of HGI on hypoglycemia in T2DM with TIR > 70%.
methodsAll participants underwent a 7-days continuous glucose monitoring (CGM) using a retrospective CGM system. We obtained glycemic variability indices using the CGM system. We defined HGI as laboratory hemoglobin A1c minus the glucose management indicator. Patients were categorized into low HGI (HGI < 0.5) and high HGI groups (HGI ≥ 0.5) according to HGI median (0.5). Logistic regression and receiver operating characteristic curve analyses were used to determine the risk factors for hypoglycemia.
resultsWe included 129 subjects with T2DM (54.84 ± 12.56 years, 46% male) in the study. Median TIR score was 90%. The high HGI group exhibited lower TIR and greater time below range with higher hemoglobin A1c than the low HGI group; this suggests more glycemic excursions and an increased incidence of hypoglycemia in the high HGI group. Multivariate analyses revealed that mean blood glucose, standard deviation of blood glucose and HGI were independent risk factors for hypoglycemia. Receiver operating characteristic curve analysis indicated that the HGI was the best predictor of hypoglycemia. In addition, the optimal cut-off points for HGI, mean blood glucose, and standard deviation of blood glucose in predicting hypoglycemia were 0.5%, 7.2 mmol/L and 1.4 mmol/L respectively.
conclusionHigh HGI was significantly associated with greater glycemic excursions and increased hypoglycemia in patients with TIR > 70%. Our findings indicate that HGI is a reliable predictor of hypoglycemia in this population.
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