Relationship Between Time in Range and Dusk Phenomenon in Outpatients with Type 2 Diabetes Mellitus

• Published in: Diabetes, metabolic syndrome and obesity metabolic syndrome and obesity, 2023-01, Vol.16, p.1637-1646
• Main Authors: Gao, Xiangyu, Li, Hongmei, Yu, Yuan, Huai, Xiaoyuan, Feng, Bo, Song, Jun
• Format: Article
• Language: English
• Subjects: Analysis; Blood sugar; Blood sugar monitoring; continuous glucose monitoring; Diabetes therapy; dusk phenomenon; Glycosylated hemoglobin; Hyperglycemia; Medical research; Medicine, Experimental; Original Research; time in range; Type 2 diabetes
• ISSN: 1178-7007; 1178-7007
• DOI: 10.2147/DMSO.S410761

The dusk phenomenon refers to a spontaneous and transient pre-dinner hyperglycemia that affects glucose fluctuation and glycemic control, and the increasing use of continuous glucose monitoring (CGM) has facilitated its diagnosis. We investigated the frequency of the dusk phenomenon and its relationship with the time in range (TIR) in patients with type 2 diabetes mellitus (T2DM). This study involved 102 patients with T2DM who underwent CGM for 14 days. CGM-derived metrics and clinical characteristics were evaluated. A consecutive dusk blood glucose difference (pre-dinner glucose minus 2-hour post-lunch glucose) of ≥ 0 or once-only dusk blood glucose difference of < 0 was diagnosed as the clinical dusk phenomenon (CLDP). We found that the percentage of CLDP was 11.76% (10.34% in men, 13.64% in women). Compared with the non-CLDP group, the CLDP group tended to be younger and have a lower percentage of TIR (%TIR ) and higher percentage of time above range (%TAR and %TAR ) ( ≤ 0.05). Adjusted for confounding factors, the binary logistic regression analysis showed a negative association of CLDP with %TIR (odds ratio < 1, < 0.05). We repeated the correlation analysis based on 70%TIR and found significant differences in hemoglobin A1c, fasting blood glucose, mean blood glucose, standard deviation of the sensor glucose values, glucose coefficient of variation, largest amplitude of glycemic excursions, mean amplitude of glycemic excursions, glucose management indicator, and percentage of CLDP between the two subgroups of TIR ≤ 70% and TIR > 70% ( < 0.05). The negative association between TIR and CLDP still remained after adjustment by the binary logistic regression analysis. The CLDP was frequently present in patients with T2DM. The TIR was significantly correlated with the CLDP and could serve as an independent negative predictor.