Decoding the AGP for Personalized Diabetes Management

Determine availability of adequate data
Review the % Time CGM is active on the AGP Report. Better clinical decisions are made when ≥ 70% of the possible data points are captured.1,2
Patterns and trends in glycemic control analyzed over a period of at least ≥70% or ~10 days of CGM wear are reliable predictors of glucose exposure over 3 months.3



Standardized glucose target levels
Set by an International Consensus Panel of diabetes experts, this graphic representation of glucose statistics and targets for Type 1 Diabetes (T1D) and Type 2 Diabetes (T2D) displays optimal goals for Time in Range (TIR) - green, Time Below Range (TBR) - two categories in light and dark red, and Time Above Range (TAR) - two categories in yellow and orange.1,4
Important
Separate targets have been recommended for women with T1D during pregnancy; women with gestational and T2D during pregnancy, and for people who are at higher risk of hypoglycemia because of age, duration of diabetes, duration of insulin therapy, or impaired awareness of hypoglycemia.4




Clinical trial check-in
Impact on A1C and TIR
Impact on hospitalizations



Personalized treatment tip
Even though the AGP does not set A1C targets, there is a correlation between the A1C and Time in Range (TIR) that can be used to inform clinical decision-making.8
Patient and disease factors used to guide individualized glycemic targets are depicted in the figure below.17 Factors that are potentially modifiable and those that usually are not modifiable can influence risks and benefits of therapy.7 Therefore, it is vital for the clinical care team to determine patient-specific glycemic targets, reevaluating over time as patient factors change to balance the risks and benefits.

Assess blood glucose fluctuations beyond A1C
Glycemic variability
The Importance of Glycemic Variability

Glucose management indicator



Identifying and addressing hypoglycemia
To address hypoglycemia, review medications (insulin or oral agents, such as sulfonylureas) that can cause hypoglycemia and need to be adjusted accordingly to reduce hypoglycemia when it occurs. Also, consider missed meals, unusual physical activity, and/or alcohol consumption as potential contributors.13
Knowing what the blood glucose level is, where it is headed, and how the patient feels – in the context of overall hypoglycemia awareness – is important for using CGM information to prevent hypoglycemia and increase TIR.13



(a) Target glucose range
(b) Median glucose line
(c) Interquartile range
(d) Outlier glucose ranges
Graphic components of the AGP



Daily glucose profiles
Alternative CGM reports



Make sure you don’t miss this!
A generalized interpretation plan of an AGP report should be conducted stepwise:13,29,30
- Evaluate data adequacy
- Identify and address Time Below Range (TBR)
- Identify and address high Glycemic Variability (GV)
- Identify and address Time Above Range (TAR)
- Improve Time in Range (TIR)
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References
- Doupis J, Horton ES. Utilizing the New Glucometrics: A Practical Guide to Ambulatory Glucose Profile Interpretation. touchREV Endocrinol. 2022;18(1):20-26. doi:10.17925/EE.2022.18.1.202.
- ElSayed NA, Aleppo G, Aroda VR, et al. 7. Diabetes technology: standards of care in diabetes–2023. Diabetes Care. 2023;46(Suppl 1):S111-S127. doi:10.2337/dc23-S0073
- Riddlesworth TD, Beck RW, Gal RL, et al. Optimal sampling duration for continuous glucose monitoring to determine long-term glycemic control. Diabetes Technol Ther. 2018;20(4):314-316. doi: 10.1089/dia.2017.0455
- Battelino T, Danne T, Bergenstal RM, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care.2019;42(8):1593-1603. doi: 10.2337/dci19-0028
- Emral R, Pathan F, Cortés CA, et al. Self-reported hypoglycemia in insulin-treated patients with diabetes: Results from an international survey on 7289 patients from nine countries. Diabetes Res Clin Pract. 2017;134:17-28. doi:10.1016/j.diabres.2017.07.031
- Vigersky RA, McMahon C. The relationship of hemoglobin A1C to time-in-range in patients with diabetes. Diabetes Technol Ther. 2019;21(2):81-85. doi:10.1089/dia.2018.0310
- ElSayed NA, Aleppo G, Aroda VR, et al. 6. Glycemic Targets: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S97-S110. doi:10.2337/dc23-S006
- Beck RW, Bergenstal RM, Cheng P, et al. The relationships between time in range, hyperglycemia metrics, and HbA1c. J Diabetes Sci Technol. 2019;13(4):614-626. doi:10.1177/1932296818822496
- Lu J, Ma X, Zhou J, et al. Association of time in range, as assessed by continuous glucose monitoring, with diabetic retinopathy in type 2 diabetes. Diabetes Care. 2018;41(11):2370-2376. doi: 10.2337/dc18-1131
- Li F, Zhang Y, Li H, et al. TIR generated by continuous glucose monitoring is associated with peripheral nerve function in type 2 diabetes. Diabetes Res Clin Pract. 2020;166:108289.
- Yang J, Yang X, Zhao D, et al. Association of time in range, as assessed by continuous glucose monitoring, with painful diabetic polyneuropathy. J Diabetes Invest. 2021;12:828-836. doi: 10.1016/j.diabres.2020.108289
- Lu J, Ma X, Shen Y, et al. Time in range is associated with carotid intima-media thickness in type 2 diabetes. Diabetes Technol Ther. 2020;22(2):72-78. doi: 10.1089/dia.2019.0251
- Wright EE, Morgan K, Fu DK, Wilkins N, Guffey WJ. Time in range: how to measure it, how to report it, and its practical application in clinical decision-making. Clin Diabetes. 2020;38(5):439-448. doi: 10.2337/cd20-0042
- Czupryniak L, Dzida G, Fichna P, et al. Ambulatory glucose profile (AGP) report in daily care of patients with diabetes: practical tips and recommendations. Diabetes Ther. 2022;13(4):811-821. doi:10.1007/s13300-022-01229-9
- Aleppo G, Beck RW, Bailey R, et al. The effect of discontinuing continuous glucose monitoring in adults with type 2 diabetes treated with basal insulin. Diabetes Care. 2021;44(12):2729-2737. doi:10.2337/dc21-1304
- Bergenstal RM, Kerr MSD, Roberts GJ, Souto D, Nabutovsky Y, Hirsch IB. Flash CGM is associated with reduced diabetes events and hospitalizations in insulin-treated type 2 diabetes. J Endocr Soc. 2021;5(4):bvab013. doi:10.1210/jendso/bvab013
- Inzucchi SE, Bergenstal RM, Buse JB, et al. Management of hyperglycemia in type 2 diabetes, 2015: a patient-centered approach: update to a position statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2015;38(1):140-149. doi:10.2337/dc14-2441
- Kovatchev BP. Metrics for glycemic control: from HbA1c to continuous glucose monitoring. Nat Rev Endocrinol. 2017;13(7):425-436. doi: 10.1038/nrendo.2017.3
- Kovatchev B. Glycemic variability: risk factors, assessment, and control. J Diabetes Sci Technol. 2019;13(4):627-635. doi:10.1177/1932296819826111
- Rodbard D. Glucose variability: a review of clinical applications and research developments. Diabetes Technol Ther. 2018;20(S2):S25-S215. doi: 10.1089/dia.2018.0092
- Papachristoforou E, Lambadiari V, Maratou E, Makrilakis K. Association of glycemic indices (hyperglycemia, glucose variability, and hypoglycemia) with oxidative stress and diabetic complications. J Diabetes Res. 2020:7489795. doi: 10.1155/2020/7489795
- Zhang Z-Y, Miao L-F, Qian L-L, et al. Molecular mechanisms of glucose fluctuations on diabetic complications. Front Endocrinol (Lausanne). 2019;10:640. doi:10.3389/fendo.2019.00640
- Shi R, Feng L, Liu Y-M, et al. Glycemic dispersion: a new index for screening high glycemic variability. Diabetol Metab Syndr. 2023;15(1):95. doi:10.1186/s13098-023-01077-y
- Valente T, Arbex AK. Glycemic variability, oxidative stress, and impact on complications related to type 2 diabetes mellitus. Curr Diabetes Rev. 2021;17(7):e071620183816. doi: 10.2174/1573399816666200716201550.
- Bergenstal RM, Beck RW, Close KL, et al. Glucose management indicator (GMI): a new term for estimating A1C from continuous glucose monitoring. Diabetes Care.2018;41(11):2275-2280. doi: 10.2337/dc18-1581
- Fang M, Wang D, Rooney MR, et al. Performance of the glucose management indicator (GMI) in type 2 diabetes. Clin Chem. 2023;69(4):422-428. doi:10.1093/clinchem/hvac210
- Edridge CL, Dunkley AJ, Bodicoat DH, et al. Prevalence and incidence of hypoglycaemia in 532,542 people with type 2 diabetes on oral therapies and insulin: a systematic review and meta-analysis of population based studies. PLoS One. 2015;10(6):e0126427. doi:10.1371/journal.pone.0126427
- Wright EE, Novak MT, Hayter GA, et al. The effects of glucose reporting tools on therapeutic decision making: a comparative reading study with primary care providers. Poster presented at ADA 82nd Scientific Sessions; June 5, 2022; New Orleans, LA.
- Evans M, Cranston I, Bailey CJ. Ambulatory glucose profile (AGP): utility in UK clinical practice. Br J Diabetes. 2017;17(1):26. doi:10.15277/bjd.2017.121
- Johnson ML, Martens TW, Criego AB, Carlson AL, Simonson GD, Bergenstal RM. Utilizing the ambulatory glucose profile to standardize and implement continuous glucose monitoring in clinical practice. Diabetes Technol Ther. 2019;21(S2):S217-S225. doi:10.1089/dia.2019.0034