Abstract:Hemoglobin A1c (A1c) is widely regarded as the gold standard for evaluating glycemic control in youth with type 1 diabetes.1 However, A1c represents average glucose levels over the past 6-12 weeks and may not adequately represent the degree of blood glucose (BG) excursions experienced, particularly hypoglycemic episodes.2,3 Greater frequency of BG excursions, even excursions lasting brief periods of time, is related to increased risk for development of diabetesrelated complications. 4 Thus, standardized evalua… Show more
“…1,13 In the current study, 56% of youths had ADRR scores in the high-risk category. This percentage was lower than the percentage of very young children with T1DM with ADRR scores in the high-risk category as reported by Monaghan et al 9 (73.1%) and Patton et al 10 (69%), but much higher than the percentage of adults with T1DM with ADRR scores in the high-risk category as reported by Kovatchev et al 8 (28%). Unlike the previous adult study, 8 when tested against a variety of other measures of GV, the ADRR scores in this sample of youths was not equally accurate in predicting the percentage of episodes of hyper-or hypoglycemia.…”
Section: Discussioncontrasting
confidence: 37%
“…This outcome is similar to the results of a previous cross-sectional study of ADRR scores in very young children with T1DM, which also found that scores did not correlate with the percentage of concurrent moderate hypoglycemic episodes. 9 Although our findings demonstrate that the ADRR does not predict future episodes of hypoglycemia, we did identify more accurate measures of future risk for hypoglycemia in youths, which were LBGI, the percentage of moderate hypoglycemic events in Month 1, and CoV. Likewise, we determined that the adult risk categories, when used in youths, appear limited to only predicting a youth's likelihood of future hyper-or euglycemia and not episodes of hypoglycemia.…”
Section: Discussionmentioning
confidence: 79%
“…The ADRR has been used previously as a measure of GV in pediatric samples, [9][10][11] but here we present the first data exploring the validity of the ADRR in a large clinical sample of 1-18-year-old youths with T1DM. The ADRR showed good concurrent validity with youths' mean blood glucose, SD, CoV, percentage of moderate hyperglycemia in Month 1, and HBGI.…”
Section: Discussionmentioning
confidence: 99%
“…8 Since then, the ADRR has been used in pediatric diabetes samples to measure GV. [9][10][11] However, the ADRR score has never been examined in a pediatric sample to determine if, as a continuous score, the ADRR is equally sensitive to predicting hyper-and hypoglycemia in youths, if the original risk categories of Kovatchev et al 8 are valid to predict future episodes of glycemic excursions in youths, or how the ADRR compares with other measures of GV in predicting hyper-and hypoglycemia in youths. There is also limited research comparing the ADRR to other measures of GV in pediatric patients.…”
mentioning
confidence: 99%
“…There is also limited research comparing the ADRR to other measures of GV in pediatric patients. 9 Thus, the current study explores these questions and yields useful normative and validity data for the ADRR in youths with T1DM.…”
Objective: The Average Daily Risk Range (ADRR) is a measure of glycemic variability (GV) developed for adults with diabetes. Although the ADRR is increasingly being reported in pediatric diabetes research and may also be used in clinical management, it has never been examined for its sensitivity to predicting hyper-and hypoglycemia in youths or compared for its predictive ability with other measures of GV in youths. Thus, we present predictive validity data for the ADRR in youths with type 1 diabetes. Materials and Methods: Glucometer data for 436 youths (mean age, 11.8 -3.8 years) were collected from a clinical database. Using these data, we computed the ADRR, SD of blood glucose, coefficient of variation of blood glucose, Low Blood Glucose Index, High Blood Glucose Index, the percentage of glucose values ‡70 and £180 mg/dL, the percentage of high glucose values >180 mg/dL and >400 mg/dL, and the percentage of low glucose values <70 mg/dL and <40 mg/dL in Month 1. We then compared these with episodes of hypo-and hyperglycemia in Month 2. Results: The ADRR showed good concurrent validity with other measures of GV in youths experiencing hyperglycemic events but limited predictive validity in general and specifically with future hypoglycemic events. The percentages of current hyper-and hypoglycemic episodes appeared to be stronger predictors of future hyperand hypoglycemic episodes, respectively. Conclusions: In a large pediatric sample, the ADRR was not the strongest predictor of future glycemic excursion. The percentages of current hyper-and hypoglycemic episodes appear to be stronger predictors.
“…1,13 In the current study, 56% of youths had ADRR scores in the high-risk category. This percentage was lower than the percentage of very young children with T1DM with ADRR scores in the high-risk category as reported by Monaghan et al 9 (73.1%) and Patton et al 10 (69%), but much higher than the percentage of adults with T1DM with ADRR scores in the high-risk category as reported by Kovatchev et al 8 (28%). Unlike the previous adult study, 8 when tested against a variety of other measures of GV, the ADRR scores in this sample of youths was not equally accurate in predicting the percentage of episodes of hyper-or hypoglycemia.…”
Section: Discussioncontrasting
confidence: 37%
“…This outcome is similar to the results of a previous cross-sectional study of ADRR scores in very young children with T1DM, which also found that scores did not correlate with the percentage of concurrent moderate hypoglycemic episodes. 9 Although our findings demonstrate that the ADRR does not predict future episodes of hypoglycemia, we did identify more accurate measures of future risk for hypoglycemia in youths, which were LBGI, the percentage of moderate hypoglycemic events in Month 1, and CoV. Likewise, we determined that the adult risk categories, when used in youths, appear limited to only predicting a youth's likelihood of future hyper-or euglycemia and not episodes of hypoglycemia.…”
Section: Discussionmentioning
confidence: 79%
“…The ADRR has been used previously as a measure of GV in pediatric samples, [9][10][11] but here we present the first data exploring the validity of the ADRR in a large clinical sample of 1-18-year-old youths with T1DM. The ADRR showed good concurrent validity with youths' mean blood glucose, SD, CoV, percentage of moderate hyperglycemia in Month 1, and HBGI.…”
Section: Discussionmentioning
confidence: 99%
“…8 Since then, the ADRR has been used in pediatric diabetes samples to measure GV. [9][10][11] However, the ADRR score has never been examined in a pediatric sample to determine if, as a continuous score, the ADRR is equally sensitive to predicting hyper-and hypoglycemia in youths, if the original risk categories of Kovatchev et al 8 are valid to predict future episodes of glycemic excursions in youths, or how the ADRR compares with other measures of GV in predicting hyper-and hypoglycemia in youths. There is also limited research comparing the ADRR to other measures of GV in pediatric patients.…”
mentioning
confidence: 99%
“…There is also limited research comparing the ADRR to other measures of GV in pediatric patients. 9 Thus, the current study explores these questions and yields useful normative and validity data for the ADRR in youths with T1DM.…”
Objective: The Average Daily Risk Range (ADRR) is a measure of glycemic variability (GV) developed for adults with diabetes. Although the ADRR is increasingly being reported in pediatric diabetes research and may also be used in clinical management, it has never been examined for its sensitivity to predicting hyper-and hypoglycemia in youths or compared for its predictive ability with other measures of GV in youths. Thus, we present predictive validity data for the ADRR in youths with type 1 diabetes. Materials and Methods: Glucometer data for 436 youths (mean age, 11.8 -3.8 years) were collected from a clinical database. Using these data, we computed the ADRR, SD of blood glucose, coefficient of variation of blood glucose, Low Blood Glucose Index, High Blood Glucose Index, the percentage of glucose values ‡70 and £180 mg/dL, the percentage of high glucose values >180 mg/dL and >400 mg/dL, and the percentage of low glucose values <70 mg/dL and <40 mg/dL in Month 1. We then compared these with episodes of hypo-and hyperglycemia in Month 2. Results: The ADRR showed good concurrent validity with other measures of GV in youths experiencing hyperglycemic events but limited predictive validity in general and specifically with future hypoglycemic events. The percentages of current hyper-and hypoglycemic episodes appeared to be stronger predictors of future hyperand hypoglycemic episodes, respectively. Conclusions: In a large pediatric sample, the ADRR was not the strongest predictor of future glycemic excursion. The percentages of current hyper-and hypoglycemic episodes appear to be stronger predictors.
Rigorous glycaemic control -reflected by low HbA1c goals -is of utmost importance in the prevention and management of complications in patients with type 1 diabetes mellitus (T1DM). However, previous studies suggested that short-term glycaemic variability (GV) is important to consider as well, as excessive glucose fluctuations may have an additional impact on the development of diabetic complications. The potential relationship between GV and the risk for cardiovascular autonomic neuropathy (CAN), a clinical expression of cardiovascular autonomic dysfunction, is of increasing interest. This systematic review aimed to summarize existing evidence concerning the relationship between GV and cardiovascular autonomic dysfunction in T1DM.Electronic database search of Medline (Pubmed), Web of Science and Embase was performed, up to October 2019. There were no limits concerning year of publication. Methodological quality was evaluated with the Newcastle Ottawa Scale for observational studies. Six studies (four cross-sectional and two prospective cohorts) were included. Methodological quality of the studies varied from level C to A2. Two studies examined the association between GV and heart rate variability (HRV) and both found significant negative correlations.Regarding cardiovascular autonomic reflex tests (CARTs), two studies did not while two other studies did find significant associations between GV parameters and CART-scores. However, associations were attenuated after adjusting for covariates such as HbA1c, age and disease duration. In conclusion, this systematic review found some preliminary evidence supporting an association between GV and cardiovascular autonomic dysfunction in T1DM. Hence, uncertainty remains whether high GV can independently contribute to the onset or progression of CAN. The heterogeneity in methodological approach made it difficult to compare different studies. Future studies should therefore use uniformly evaluated CGM-derived parameters of GV, while standardised assessment of HRV, CARTs and other potential cardiac autonomic function parameters is needed for an unambiguous definition of CAN.
KEYWORDSType 1 diabetes • Complications • Glycaemic variability • Cardiovascular autonomic dysfunction • Cardiovascular autonomic neuropathy • Cardiovascular reflex tests • Heart rate variability ABBREVIATIONS This article is protected by copyright. All rights reserved. BRS Baroreflex sensitivity CAN Cardiovascular autonomic neuropathy CART Cardiovascular autonomic reflex test CGM Continuous glucose monitoring CONGA Continuous overlap net glycaemic action COV Coefficient of variation DAN Diabetic autonomic neuropathy DCCT Diabetes Control and Complications Trial GV Glycaemic variability HBGI High blood glucose index HRV Heart rate variability LBGI Low blood glucose index MBG Mean blood glucose MAG Mean absolute glucose difference MAGE Mean amplitude of glycaemic excursions MODD Mean of daily differences SDT Total standard deviation of glucose values T1DM Type 1 diabetes mellitus
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