Review Article. Continuous Glucose Monitoring - A Step Towards Better Diabetes Management. Ajay V Kaduskar

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Review Article Vidarbha Journal of Internal Medicine Volume 24 January 2018 Continuous Glucose Monitoring - A Step Towards Better Diabetes Management 1 Ajay V Kaduskar ABSTRACT Self-monitoring of blood glucose (SMBG) & HbA1C, the proven parameters of glycemic control, have certain limitations. These limitations are overcome by continuous glucose monitoring system. CGM helps in real time as well as retrospective detection of blood glucose levels.technological advancements have made the use of CGM easier and have improved its accuracy. This has helped in better diabetes management by better detection of hypoglycemia &detection of Glycemic excursions. Response to treatment can be effectively monitored with CGM. Evidence exists to prove the efficacy of CGM in better glycemic control & reduction in complications. CGM can be employed across the spectrum ofpatients with diabetes. Key words :Continuous glucose monitoring, glycemic variability, flash glucose monitoring Introduction : Glucose measurement forms the fulcrum of effective diabetes management. Glycosylated hemoglobin till now is the accepted method for assessment of glycemic control. Self-monitoring of blood glucose (SMBG) when included in a structured diabetes management regimen has shown to improve glycemic control & quality of life of 1,2 patients with diabetes. In spite of this gaps remain in effective monitoring of glucose levels thereby hampering effective diabetes management. Continuous glucose monitoring (CGM) systems aim to bridge this gap in glucose monitoring thereby aiding effective & correct decision making in Type1 as well as Type 2 diabetic patients. India with its high prevalence of people with pre diabetes and diabetes which is undiagnosed or poorly controlled; the importance of effective glucose monitoring needs 3 special emphasis. Patient unawareness about their own glucose level fluctuations & potential benefits 4 of effective glycemic management can be addressed with CGM. Need for monitoring tools beyond HbA1C & SMBG : The Diabetes Control and Complications Trial 1 Diabetologist, Niramay Diabetes & Heart Care Centre, Dhantoli, Nagpur Address for Correspondence - Dr. Ajay V. Kaduskar E-mail : ajaykaduskar@niramayclinics.com Received on 11th September 2017 Accepted on 13th October 2017 (DCCT) and The Epidemiology of Diabetes 5 Interventions and Complications (EDIC) study have amply demonstrated that HbA1C contributes to microvascular complications in Type 2 DM. Similarly the significance of glycemic control & control of various metabolic parameters for prevention of complications in Type 2 DM has been shown by the UK Prospective Diabetes Study 6 (UKPDS). Hence all organizations working in the field of diabetology, while recommending individualization of HbA1C target goals, target a 7,8 HbA1C value ranging from <= 6.5% to 7%. On similar linesself-monitoring of blood glucose (SMBG) has a direct correlation with favorable 1,2,9 diabetes outcomes. In spite of these evidences for HbA1C & SMBG as glucose monitoring tools they suffer from certain limitations. HbA1C being a measure of glucose levels over past 3 months fails to detect hypoglycemic & hyperglycemic episodes occurring on a daily basis. Also it is an unreliable measure in pregnancy, patients with haemoglobinopathies or iron deficiency 10,11,12 anemia. This is especially important in India 13 with high prevalence of iron deficiency. SMBG while providing the blood glucose value at that point of time does not give idea about the temporal profile of blood glucose levels. As such therapeutic decisions, especially insulin dosing based solely on the basis of SMBG values can at time be erroneous. 60% of hypoglycemia are not detected with SMBG 14 alone. Moreover, as SMBG requires a finger prick it requires a high level of patient motivation. VJIM Volume 24 January 2018 31

Glycemicvariability, an independent risk factor for 15,16,17 coronary artery disease& cognitive dysfunction is not detected by HbA1C as well as SMBG. Thus HbA1C and SMBG though important does not reveal the complete picture. Continuous glucose monitoring systems (real time as well as retrospective / intermittent) help to fill in these gaps & help provide a complete picture. Figure 1 : CGM vs. SMBG passes from blood capillaries into the interstitial fluid & then into the cells. CGM measures glucose value in the interstitial fluid. Hence the glucose value measured by CGM briefly lags the blood glucose value. Figure 3 : Mechanism of CGM Figure 2 : Advantages of CGM Basics of Continuous glucose monitoring : The glucose level in the interstitial fluid, the fluid in between the blood vessels and cells is measured by continuous glucose monitoring systems. This is measured via a sensor, which is placed subcutaneously. Glucose in the interstitial fluid penetrates the semi permeable membrane of the sensor, reacts with the glucose oxidase present in the sensor, producing electrons, which are measured as the input signal. This input signal value is converted into blood glucose value by using calibration blood 18 glucose values. Glucometers used for SMBG measure glucose in the blood capillaries. Glucose Types of CGM devices : There are 2 major types of CGM systems-real time CGM (rtcgm) & intermittently viewed CGM (icgm). RtCGM uniformly tracks interstitial fluid glucose values providing almost real time glucose values while icgm tracks glucose values at regular intervals, which can be recovered as & when required by the observer. The rtcgm systems have alarms to warn of impending hypoglycemia. They are mostly used in Type1 DM patients. They can be 19 effectively used with insulin pumps and are a part 20 of bionic pancreas. The first rtcgm Gluco watch was launched in 1999. Since then many CGM systems MinimediPro, Enlite 2, Enlite enhanced, Enlite 3 (Medtronic), Dexcom STS, Dexcom 3,7, Gen 4 and 5 (Dexcom) and Navigator (Abbott) have been launched over the years with advances in technology of monitoring. These 21,22 systems require 2-4 calibrations per day. Since calibrations are based on SMBG, it is important that the blood glucose tests are performed properly and the glucometers are functioning properly. IPro 2 (Medtronic) & Freestyle Libre Pro (Abbott) are examples of intermittent glucose monitoring systems. icgm provides retrospective data which can be accessed by the patient or health care provider. They monitor interstitial fluid glucose VJIM Volume 24 January 2018 32

over a period of 14 days. Freestyle Libre Pro marks an important technological advancement in that it requires no calibration on part of the patient or 21 health care provider as it is factory calibrated. Freestyle Libre Pro is also referred to as flash glucose monitoring system (FGM). It has no alarms hence and can overcome alarm fatigue seen with 23 conventional CGMs. Figure 4 : Types of CGM 4a : Real time CGM 4c (ii) : FGM sensor 4b : Intermittent CGM- i Pro 4c (i) : Free style libre pro Recommendations for CGM : Numerous clinical studies have demonstrated clinical benefits of CGM across the entire spectrum of patients with diabetes-paediatric, adolescents, type 1, and type 2 - with various levels of 24,25 dysglycemia. Benefit is directly proportional to 26 the frequency of use. CGM use has been associated with improvement in HbA1C, lower risk of 19 hypoglycemia, better quality of life. RtCGM has 27 shown to reduce incidence of complications. Mean absolute relative difference (MARD) is a measure of accuracy of CGM systems. A lower percentage indicates greater accuracy. With technological advancements in CGM systems over the past 20 years the MARD has come down from 20% to 28 nearly 10%. Improvement in the accuracy of CGM has made adjustment of insulin doses based on these 29 CGM values safer. Advanced Technology & Treatments for Diabetes (ATTD) Congress, February 2017 has provided recommendations for using CGM in clinical 30 practice & research. As per the recommendations CGM should be considered in all patients with type 1 & type 2 DM on intensive insulin therapy & not achieving Glycemic targets & are experiencing hypoglycemia. Only CGM systems that provide an acceptable level of accuracy are recommended (MARD around 10%). Detection of hitherto undetected hypoglycemia & preventing it is one of the important aims of CGM. These recommendations have classified hypoglycemia as level 1-glucose value < 70-54 mg/dl with or without VJIM Volume 24 January 2018 33

symptoms which should alert the clinician about the individual's risk for hypoglycemia. Level 2 hypoglycemia-glucose level < 54 mg/dl with or without symptoms which requires immediate action. 70% of readings over consecutive 14 days are recommended for generation of report, optimal analysis & decision-making. In pediatric population AACE recommends CGM 31 for patients with severe hypoglycemia, ADA recommends its use as a supplemental tool in those with hypoglycemia unawareness or at risk of 32 hypoglycemia along with diabetes education while Endocrine Society recommends it in Type 1 DM over 8 years of age with A1C < 7% for effective 26 diabetes management & avoiding hypoglycemia. Indian study in T2 DM patients using ipro2 sensor showed favorable HbA1C reduction, insights for 33 changing treatment & better patient compliance. Flash glucose monitoring can be used to assess the effects of insulin dose adjustments, drug add on to insulin regimen within a short interval of time without waiting for changes in HbA1C to occur. Patients on multiple daily doses of insulin experiencing frequent hypoglycemia & hyperglycemia derive benefit from FGM 34 monitoring. Flash glucose monitoring can be used as an alternative to SMBG during insulin intensification. It showed similar reduction in HbA1C with lower incidence of hypoglycemia 35 during insulin intensification. Barriers for CGM : Physician & clinical inertia as introduction of any new modality requires a physician s time, energy, initiative & effort for implementation is a major barrier for CGM usage. Cost, especially in resourcelimited settings like ours along with lack of patient compliance, requirement of frequent visits, lack of diabetes educators limits the use of CGM in real world setting. The problem of lag time in earlier systems has been overcome to a large extent with improvement in glucose calculating algorithms. The need for frequent calibrations has an effect on compliance in RTCGM. This problem has been 27 overcome in FGM. Conclusion : CGM is an important addition to the armamentarium of effective glycemic management of patients across the spectrum of diabetes. Hypoglycemia, by virtue of affecting the quality of life as well as its association with increased mortality is a roadblock in achieving targets in diabetes. CGM due to its ability to detect undiagnosed hypoglycemia helps in better decision-making& achieving HbA1ctargets. Flash glucose monitoring has simplified use of CGM as it has done away with the need of calibration. Treatment intensification can be better monitored with use of CGM. Improvement in technology like its integration with smart phones, user friendliness; reduction in cost will result in wider usage of CGM & will improve compliance. Disclosures : No conflicting interests exist as regards this article. References : 1. Polonsky WH, Fisher L, Schikman CH, etal. Structured self monitoring of blood glucose significantly reduces A1C levels in poorly controlled, on insulin treated diabetes : Results from the Structured Testing Program study. Diabetes Care 2011; 34:262-263. 2. Kemph K, Kruse L. Martin S, Rosso in praxi follow up : long term effects of self monitoring of blood glucose on weight, hemoglobin A1C, and quality of life in patients with Type 2 Diabetes Mellitus. DiabetesTechnol Ther2012; 14:59-64. 3. Unnikrishnan R, Anjana RM, Deepa M etal. Glycemic control among individuals with self reported diabetes in India-the ICMR INDIAB Study. DiabetesTechnolTher 2014; 16:596-603. 4. Strain WD, Cos X, and Hirst et al. Time to do more : addressing clinical inertia in the management of type 2 diabetes mellitus. Diabetes Res Clin Pract2014; 105:302-12. 5. Orchard TJ, NathanDM, Zinman B et al. Writing group for the DCCT/EDIC research group. Association between 7 years of intensive treatment of type 1 diabetes &long-termmortality. JAMA 2015; 313:45-53. 6. Holman RR, Paul KK, Bethel MA, Mathews DR, Neil HAW. 10 year follow up of intensive glucose control in type 2 diabetes mellitus. N Engl J med 2008; 359:1577-1589. 7. Garber AJ, AbrahamsonMJ, Barzilay JI, et al; Consensus statement by the American Association of Clinical Endocrinologists and American college of Endocrinology on the comprehensive Type2 diabetes management algorithm-2016 executive summary. EndocrPract 2016; 22:84-113. 8. National Institute for health and Care Excellence (NICE). Diabetes in children and young people: diagnosis and management; 2015. NICE guideline. Available from www.nice.org.uk/guidance/ng18. 9. Miller KM, Beck RW, Bergensatl RM, etal. T1D exchange clinic network. Evidence of strong association between frequency of selfmonitoring of blood glucose and hemoglobin A1C levels in T1D clinic exchange registry participants. Diabetes Care 2013; 36:2009-2014. VJIM Volume 24 January 2018 34

10. Neilson LR, Ekbom P, Damm P et al. HbA1C levels are significantly low in early & late pregnancy. Diabetes Care 2004; 27:1200-1201. 11. Bry L, Chen PC, Sacks DB.Effects of hemoglobin variants and chemically modified derivatives on assays for glycohemoglobin. ClinChem 2001; 47; 153-163. 12. Ford AS, Cowie CC, Li C, Handelsman Y, Bloomgartan ZT. Iron deficiency anaemia, non-iron deficiency anemia and HbA1C among adults in the US. J Diabetes 2011; 3: 67-73. 13. Toteja GS, Padam Singh, Dhillon BS, Saxena BM, Ahmed BU, et al. Prevalence of iron deficiency anemia among pregnant females & adolescent girls in 16 districts of India. Food & Nutrition Bulletin 2006; 27:311-315. 14. Pitzer KR, Desai S, Dunn T et al. Detection of hypoglycemia with the Glucowatch biographer. Diabetes Care 2001; 24(5) 881-885. 15. Temelkova TS, Koehler C, Henkel E, et al. Post challenge plasma glucose and Glycemic spikes are more strongly associated with atherosclerosis than fasting glucose or HbA1C level, Diabetes Care 2000; 23:1830-34. 16. Monnier L, Mas E, Ginet C et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA 2006; 295:1681-1687. 17. Haffner SM. Do interventions to reduce coronary heart disease reduce the incidence of type 2 diabetes? Possible role for inflammatory factors. Circulation 2001; 103: 346-347. 18. Johny Jose Kannampilly. Continous glucose monitoring. www.apiindia.org-medicine update 2013; chapter 43. 19. VigerskyRA: The benefits, limitations, and cost effectiveness of advanced technologies in the management of patients with diabetes mellitus diabetes scitechnol 2015; 9:320-330. 20. El Khatib, Firas et al. Home use of bihormonal bionic pancreas versus insulin pump therapy in adults with type 1 diabetes, a multicentre randomized cross over trial. The Lancet Jan 2017; 389:369-380. 21. Garg SK, AkturkHK.The future of continuous glucose monitoring. DiabetesTechno.Ther 2017; 19 (suppl 3); S-1-S-2. 22. Mazze RS. Acceptance of FGM or CGM in clinical decision making and patient preference; where do we go from here? Diabetes TechnolTher 2017; 19:142-144. 23. Shivers JP, Mackowiak L, Anhalt H,Zisser H. Turn it off : Diabetes device alarm fatigue considerations for the present &future. J Diabetes SciTechnol 2013; 7:789-794. 24. Juvenile Diabetes Research Foundation Continuous glucose monitoring study Group. Beck RW, Hirsch IB, Laffel L, Tamborlane WV, Bode BW, et al. Effect of continuous glucose monitoring in well controlled type 1 diabetes. Diabetes Care 2009; 32:1378-1383. 25. Juvenile Diabetes Research Foundation Continuous glucose monitoring study group. Effectiveness of CGM in a clinical care environment-evidence from JDRF-CGM trial. Diabetes Care 2010; 33:17-22. 26. Klonoff DC, BuckinghamB, Christiansen JS, Montori VM, Tamborlane WV, etal. Continuous glucose monitoring : An Endocrine Society clinical practice guideline, JClinEndocrinlMetab 2011; 96:2968-2979. 27. David Rodbard. A review of successes, challenges and opportunities. Diabetes Tech and Ther 2016; 18 (Suppl 2) S2-S13. 28. Kovatchev BP, Patek SD, Oritz EA, Brenton MD: Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring. DiabetesTechnolTher 2015; 17:177-186. 29. Kovatchev BP. Hypoglycemia reduction and accuracy of continuous glucose monitoring. DiabetesTechnolTher 2015; 17:530-533. 30. Thomas Danne, RevitalNimri, TadejBattelino, Bergenstal RM, Close KL, etal. International Consensus on use of Continuous glucose monitoring. Diabetes care 2017; 40:1631-1640. 31. Bailey TS, Grunberger G, Bode BW, etal. American Association of Clinical Endocrinologists and American College of Endocrinology 2016Outpatient Glucose Monitoring Consensus statement. EndocrPract 2016; 22:231-261. 32. American Diabetes association: 6.Glycemic targets. Diabetes cares 2017; 40 Suppl 1: S48-S56. 33. Mohan V, Jain S, KesavadevJ, Chawla M, Mutha A, et al. Use of retrospective continuous glucose monitoring for optimizing management of type 2 diabetes in India.JAPI 2016; 64:16-21. 34. Carlson A, Mullen DM, BergenstalRM.Clinical use of continuous glucose monitoring in adults with type 2 diabetes. Diabetes technolther 2017; 19 (Suppl 2): S4-S11. 35. Haak T, Hanaire H, Ajjan R, Hermanns N, Riveline JP, Rayman G. Flash glucose sensing technology as a replacement for blood glucose monitoring for the management of insulin treated type 2 diabetes: A multicenter, open labeled randomized control trial. Diabetes Ther2017; 8: 55-73. VJIM Volume 24 January 2018 35