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Open AccessJournal ArticleDOI

Validation of Time in Range as an Outcome Measure for Diabetes Clinical Trials.

TLDR
A compelling case can be made that TIR is strongly associated with the risk of microvascular complications and should be an acceptable end point for clinical trials.
Abstract
OBJECTIVE This study evaluated the association of time in range (TIR) of 70–180 mg/dL (3.9–10 mmol/L) with the development or progression of retinopathy and development of microalbuminuria using the Diabetes Control and Complications (DCCT) data set in order to validate the use of TIR as an outcome measure for clinical trials. RESEARCH DESIGN AND METHODS In the DCCT, blood glucose concentrations were measured at a central laboratory from seven fingerstick samples (seven-point testing: pre- and 90-min postmeals and at bedtime) collected during 1 day every 3 months. Retinopathy progression was assessed every 6 months and urinary microalbuminuria development every 12 months. Proportional hazards models were used to assess the association of TIR and other glycemic metrics, computed from the seven-point fingerstick data, with the rate of development of microvascular complications. RESULTS Mean TIR of seven-point profiles for the 1,440 participants was 41 ± 16%. The hazard rate of development of retinopathy progression was increased by 64% (95% CI 51–78), and development of the microalbuminuria outcome was increased by 40% (95% CI 25–56) for each 10 percentage points lower TIR ( P CONCLUSIONS Based on these results, a compelling case can be made that TIR is strongly associated with the risk of microvascular complications and should be an acceptable end point for clinical trials. Although hemoglobin A 1c remains a valuable outcome metric in clinical trials, TIR and other glycemic metrics—especially when measured with continuous glucose monitoring—add value as outcome measures in many studies.

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Journal ArticleDOI

Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

TL;DR: This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
Journal ArticleDOI

The Relationship of Hemoglobin A1C to Time-in-Range in Patients with Diabetes.

TL;DR: There is a good correlation between HbA1C and %TIR that may permit the transition to %T IR as the preferred metric for determining the outcome of clinical studies, predicting of the risk of diabetes complications, and assessing of an individual patient's glycemic control.
Journal ArticleDOI

The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c.

TL;DR: In T1D, CGM measures reflecting hyperglycemia (including TIR and mean glucose) are highly correlated with each other but only moderately correlated with A1C.
References
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Journal ArticleDOI

The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

TL;DR: Intensive therapy effectively delays the onset and slows the progression of diabetic retinopathy, nephropathy, and neuropathy in patients with IDDM.
Journal ArticleDOI

Hypoglycemia and Diabetes: A Report of a Workgroup of the American Diabetes Association and The Endocrine Society

TL;DR: The evidence about the impact of hypoglycemia on patients with diabetes that has become available since the past reviews by the American Diabetes Association and The Endocrine Society is reviewed to provide guidance about how this new information should be incorporated into clinical practice.
Journal ArticleDOI

The Effect of Glucose Variability on the Risk of Microvascular Complications in Type 1 Diabetes

TL;DR: In this article, the effect of glucose variability on the risk of retinopathy and nephropathy in patients with type 1 diabetes was analyzed using multivariate Cox regression, and it was shown that within-day and between-day variability in blood glucose around a patient's mean value has no influence on the development or progression of either retinopathies (P = 0.18 and P =0.72, respectively) or nephropharmasy (P < 0.57).
Journal ArticleDOI

The effect of glucose variability on the risk of microvascular complications in type 1 diabetes.

TL;DR: The analysis of seven-point glucose profiles reported in this study suggested that glucose variability is not an independent risk factor for microvascular complications, but the seven- point profile may not be an accurate representation of true glycemic variability as measured by continuous blood glucose monitoring.
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