Relationship between hemoglobin glycation index and risk of hypoglycemia in type 2 diabetes with time-in-range in target

低血糖 医学 血糖性 血红蛋白 糖尿病 内科学 糖基化 接收机工作特性 2型糖尿病 逻辑回归 糖化血红素 2型糖尿病 1型糖尿病 目标射程 内分泌学 胃肠病学 宏观经济学 经济
作者
Beisi Lin,Zhi-Gu Liu,D Chen,Yanling Yang,Daizhi Yang,Jinhua Yan,Longyi Zeng,Xubin Yang,Wen Xu
出处
期刊:World Journal of Diabetes [Baishideng Publishing Group Co (World Journal of Diabetes)]
卷期号:15 (10): 2058-2069 被引量:10
标识
DOI:10.4239/wjd.v15.i10.2058
摘要

BACKGROUND: In 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. AIM: To investigate the relationship between HGI and hypoglycemia and the implications of HGI on hypoglycemia in T2DM with TIR > 70%. METHODS: All 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. RESULTS: We 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. CONCLUSION: High 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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