Utility of time in tight range (TITR) in evaluating metabolic control in pediatric and adult patients with type 1 diabetes in treatment with advanced hybrid closed-loop systems.

PURPOSE: To analyze the time in tight range (TITR), and its relationship with other glucometric parameters in patients with type 1 diabetes (T1D) treated with advanced hybrid closed-loop (AHCL) systems. METHODS: A prospective observational study was conducted on pediatric and adult patients with T1D undergoing treatment with AHCL systems for at least 3 months. Clinical variables and glucometric parameters before and after AHCL initiation were collected. RESULTS: A total of 117 patients were evaluated. Comparison of metabolic control after AHCL initiation showed significant improvements in HbA1c (6.9 ± 0.9 vs. 6.6 ± 0.5%, p < 0.001), time in range (TIR) (68.2 ± 11.5 vs. 82.5 ± 6.9%, p < 0.001), TITR (43.7 ± 10.8 vs. 57.3 ± 9.7%, p < 0.001), glucose management indicator (GMI) (6.9 ± 0.4 vs. 6.6 ± 0.3%, p < 0.001), time below range (TBR) 70-54 mg/dl (4.3 ± 4.5 vs. 2.0 ± 1.4%, p < 0.001), and time above range (TAR) > 180 mg/dl (36.0 ± 7.6 vs. 15.1 ± 6.4%, p < 0.001). Coefficient of variation (CV) also improved (36.3 ± 5.7 vs. 30.6 ± 3.7, p < 0.001), while time between 140-180 mg/dl remained unchanged. In total, 76.3% achieved TITR > 50% (100% pediatric). Correlation analysis between TITR and TIR and GRI showed a strong positive correlation, modified by glycemic variability. CONCLUSIONS: AHCL systems achieve significant improvements in metabolic control (TIR > 70% in 93.9% patients). The increase in TIR was not related to an increase in TIR 140-180 mg/dl. Despite being closely related to TIR, TITR allows for a more adequate discrimination of the achieved control level, especially in a population with good initial metabolic control. The correlation between TIR and TITR is directly influenced by the degree of glycemic variability.

Glycemia Risk Index Assessment in a Pediatric and Adult Patient Cohort With Type 1 Diabetes Mellitus.

BACKGROUND: To evaluate the glycemia risk index (GRI) as a new glucometry in pediatric and adult populations with type 1 diabetes (T1D) in clinical practice. METHODS: A cross-sectional study of 202 patients with T1D receiving intensive treatment with insulin (25.2% continuous subcutaneous insulin infusion [CSII]) and intermittent scanning (flash) glucose monitoring (isCGM). Clinical and glucometric isCGM data were collected, as well as the component of hypoglycemia (CHypo) and component of hyperglycemia (CHyper) of the GRI. RESULTS: A total of 202 patients (53% males and 67.8% adults) with a mean age of 28.6 ± 15.7 years and 12.5 ± 10.9 years of T1D evolution were evaluated.Adult patients (>19 years) presented higher glycated hemoglobin (HbA1c) (7.4 ± 1.1 vs 6.7 ± 0.6%; P < .01) and lower time in range (TIR) (55.4 ± 17.5 vs 66.5 ± 13.1%; P < .01) values than the pediatric population, with lower coefficient of variation (CV) (38.6 ± 7.2 vs 42.4 ± 8.9%; P < .05). The GRI was significantly lower in pediatric patients (48.0 ± 22.2 vs 56.8 ± 23.4; P < .05) associated with higher CHypo (7.1 ± 5.1 vs 5.0 ± 4.5; P < .01) and lower CHyper (16.8 ± 9.8 vs 26.5 ± 15.1; P < .01) than in adults.When analyzing treatment with CSII compared with multiple doses of insulin (MDI), a nonsignificant trend to a lower GRI was observed in CSII (51.0 ± 15.3 vs 55.0 ± 25.4; P= .162), with higher levels of CHypo (6.5 ± 4.1 vs 5.4 ± 5.0; P < .01) and lower CHyper (19.6 ± 10.6 vs 24.6 ± 15.2; P < .05) compared with MDI. CONCLUSIONS: In pediatric patients and in those with CSII treatment, despite a better control by classical and GRI parameters, higher overall CHypo was observed than in adults and MDI, respectively. The present study supports the usefulness of the GRI as a new glucometric parameter to evaluate the global risk of hypoglycemia-hyperglycemia in both pediatric and adult patients with T1D.

Metabolic control and satisfaction in a diabetes education programme in flash glucose monitoring through telemedicine in type 1 diabetes.

OBJECTIVE: To evaluate metabolic control and satisfaction with a telemedicine diabetes education programme for the initiation of flash glucose monitoring (FGM) in type 1 diabetes. MATERIAL AND METHODS: Prospective study in 48 patients (52.1% women, 22.9% on insulin pump) who started FGM. They were analysed at baseline and 3 months after the beginning of the FGM. The results were compared with an on-site learning cohort matched by age, sex and HbA1c. RESULTS: At the beginning and 3 months after the MFG, HbA1c improvement was observed (7.9±1.4 vs 7.3±1.1%), p<0.01; with a decrease in time below range - TBR - (4.7±4.9 vs 3.5±3.5%), p<0.05 and number of hypoglycaemic events (9.4±8.7 vs 6.9±5.7/15 days), p<0.05, associated with a worsening in time above range - TAR - (33.5±19.9 vs 37.0±20.9%), p<0.05. No significant differences were observed in the TIR 70-180mg/dl (61.7±18.6 vs 59.4±20.0%), glycemic variability or the use of FGM. Patient satisfaction with telemedicine training was 4.8±0.3 out of 5. No significant differences were observed in the follow-up, either in HbA1c or other glucometer parameters between on-site and online training. In a multivariate analysis adopting the HbA1c at follow-up as the dependent variable, only the TIR (ß=-0.034; p<0.001) and the initial HbA1c (ß=0.303; p<0.001) maintained statistical significance, unrelated to the on-site or online training (ß=0.136; p=ns). CONCLUSIONS: A telemedicine programme is an adequate tool for training in FGM, with results similar to on-site training, and it was associated with a high degree of satisfaction.

Impact of flash glucose monitoring on quality of life and glycaemic control parameters in adults with type 1 diabetes mellitus⋆.

INTRODUCTION: Flash glucose monitoring (FGM) improves some glycaemic control variables and quality of life parameters. OBJECTIVE: Our aim was to evaluate the quality of life and glycaemic control parameters after initiating FGM in patients with type 1 diabetes (DM1) in clinical practice. MATERIAL AND METHODS: A prospective observational study in DM1 patients that started using FGM between June 2019 and April 2020. We analysed their scores on the Diabetes Quality of Life (DQOL) questionnaire, Diabetes Distress Scale (DDS), Diabetes Treatment Satisfaction Questionnaire (DTSQ) and glycaemic control parameters at baseline and 3 months after the FGM onset. RESULTS: We recruited 114 patients, 56% male, mean age 37.2 (standard deviation, SD 12.4), with 18.7 (SD 11.5) years of DM1, 24.6% of which used continuous subcutaneous insulin infusion. Differences were observed (baseline vs. 3 months) in the DTSQ score (22 [15.5-27] vs. 25 [22-28], P < 0.001) and in the DQOL score (88 [74-104] vs. 84 [70-101], P = 0.017) but not in the DDS score. HbA1c was 7.8% (SD 1.3) vs. 7.4% (SD 1.1) (P < 0.001), without improvement in other glycaemic control variables, except for the mean number of hypoglycaemic events/14 days: 14 (SD 9) at baseline vs. 11.5 (SD 7) at 3 months (P < 0.001). CONCLUSIONS: The initiation of FGM, combined with a structured educational programme, was associated with improvement in quality of life and patient satisfaction in DM1 patients. An improvement in HbA1c and a reduction in the number of hypoglycaemia events was observed, but not in the rest of glycaemic control parameters.