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Pediatric Endocrinology Diabetes and Metabolism
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vol. 24
Review paper

How modern technologies improve daily diabetic control

Władysław B. Gaweł
Aleksandra Tabor
Halla Kaminska
Grażyna Deja
Przemysława Jarosz-Chobot

Pediatr Endocrinol Diabetes Metab 2018; 24 (3): 140-144
Online publish date: 2018/12/23
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People living in the era of modern technologies such as Facebook, Google, and GPS want their treatment to stand up to the times. This is especially true for patients with diabetes because in this disease it is crucial for the patient not only to receive insulin, but also to receive it in a way that correlates with the food they eat, the emotions they are feeling, as well as their physical activity. For this group of patients, the support they require is not limited only to drug delivery; they also need constant feedback on their blood glucose level, they want a device that will help relieve some of the burden they suffer due to diabetes.

Aim of the study

The idea of this study was to analyse how medical devices and technologies help people in their everyday struggle to keep up with diabetes as well as whether those devices catch up to the reality of the 21st century. In order to make this review clearer for our readers we have decided to compare a few of the most outstanding inventions in the field of diabetology. We chose insulin pumps, constant glucose monitoring (CGM) systems, mobile apps, and, last but not least, social media and the Internet as the most promising and fastest developing areas.

Insulin pumps

Use of insulin pumps started in the 1970s [1] as a simple tool for delivering insulin in a constant fashion, and as time passed they became more advanced. They are becoming more popular not only because of their safety, effectiveness, and prevention of long-term complications such as retinopathy or neuropathy [2], but also because they enable patients to significantly reduce the amount of insulin costs, which caqn be as much as $1011 per year compared to multiple daily injections (MDI), as shown by David et al. [3]. Considering the increasing rates of obesity in patients, insulin pump therapy (CSII) seems to be a tool of choice when managing diabetes in this group of patients, as shown by Wainstein et al. [4], who presented data proving that CSII is far more superior to MDI in obese patients without weight or insulin dose change, which is important because it negates the factors that might have interrupted the results. Another study, which used the most advanced artificial pancreas, Renard [5], concluded that although CSII seems to be more effective than MDI the main factor that determines the outcome of the therapy is the patient, which means the role of the doctor is crucial in managing the patients and their disease. The data collected from the OpT2mise study, presented by Conget et al. [6], strongly suggest usage of CSII because the glucose profile increases greatly, with more time spent in the target range and without increasing the number of hypoglycaemia episodes. Another point made by the authors was the continuous data collection while using sensors, which, in contrast to self-monitoring blood glucose, provides more data for analysis and therefore allows doctors make better profiles of the patients.
Despite CSII being superior to MDI [7] in terms of efficiency and safety it does not provide long-lasting results in lowering the glycated hemoglobin (HbA1c) level [8]. While being a golden standard for treatment of type 1 diabetes, CSII cannot be of use for patients with type 2 diabetes because they seem not to benefit from this type of treatment [9].

Constant glucose monitoring

By 1999 MiniMed received FDA approval for the first CGM device in the USA. Since then, engineers have been improving the system to monitor blood glucose levels in real time without constant pricking; it also shows trends in the change of current blood glucose levels and is able to sound an alarm in case of hyperglycaemia or hypoglycaemia, which greatly affects both quality of life as well as glycaemic control – Miller et al. [10] presented data from a study in which they compared their group with a cohort obtained from a national registry, supporting the thesis that frequent blood glucose monitoring helps in lowering HbA1c, due to the patient being more engaged in the treatment. An interesting study was performed by Walker [11] in which the authors aimed to establish whether knowing the blood glucose level which is shown in the CGM might have effect on the therapy. Therefore, their experimental group received a modified CGM where glucose numbers were obscured, while the control group received an unmodified CGM. Both groups noted a reduction of HbA1c, but the group with hidden values were more influenced. CGM not only helps to ease the patient with their struggle, but also helps to achieve good glycaemic control. The most important study on safety and application of CGM was performed by Choudhary et al. [12], in which they showed the reduction of severe hypoglycaemia in a group that was particularly susceptible to low blood glucose level due to limited awareness of it. The study by van Beers et al. [13] was done within two groups of patients who were first assigned to CGM or SMBG and were then washed out and altered to the second form of blood glucose measuring. The SMBG was a control, and the results obtained clearly show the reduction of severe hypoglycaemia in the CGM patients. Modern CGM devices are also a great tool for measuring blood glucose levels during exercises because they operate accurately and reliably in changing metabolic conditions as proven by Bally et al. [14]. However, while CGM is a highly useful tool for monitoring patients’ blood glucose, it should be noted that more care should be taken when examining data from patients whose HbA1c exceeds 8.0% in short-term monitoring due to the higher risk of both overestimating and underestimating the mean glucose, as presented by Yamada et al. All patients in this study underwent CGM training in the facility of the authors. The data consisted of at least one 24-h profile during two of seven days of monitoring without gaps longer than two hours. There were 145 patients screened, but due to exclusion criteria including factors known to interfere with glucose levels, as well as blood glucose over 400 mg/dl, only 51 patients were included [15].

Sensor-augmented pumps

The combination of above technologies is called sensor-augmented therapy (SAP), where the pump cooperates with the sensor in order to better adjust the parameters of insulin delivery, and, as Bergenstal et al. [16] proved, such a combination is of great benefit to the patient’s safety and long-term outcome of therapy. A first study on the subject of SAP by Hirsch et al. [17] showed a positive correlation between sensor usage and both reduced risk of hypoglycaemia and better reduction of HbA1c, as compared to the control group, i.e. CSII patients with self-monitored blood glucose (SMBG). Roselund et al. [18] demonstrated that SAP is not only a great device when it comes to controlling glucose parameters but also helps in reduction of microalbuminuria.

Prevention of hypoglycaemia and artificial pancreas

The MiniMed 640G system is equipped with SmartGuard technology, which enables a pump to suspend an insulin delivery before hypoglycaemia occurs. The system helps not only in achieving desired blood glucose levels without increasing the risk of going into hyperglycaemia but also the patients who use it report great assurance and confidence while using it [19]. These findings are aligned with the study by Zhong et al. [20], who also reported a reduction of blood glucose fluctuations.


However, as great as the 640G system is, there is a new pump, the 670G, which was recently approved by the FDA and works on a first hybrid closed-loop, which, thanks to advanced algorithms, is able to automatically decide about the dosage of basal insulin. The study performed Bergenstal et al. [21] showed no severe hypoglycaemia or ketoacidosis during the study period; the only adverse events observed were device related and were solved at home. Even though closed loop systems are able to prevent nocturnal hypoglycaemia, they struggle to maintain blood glucose within the normal range during exercise or when the sensor is malfunctioning. To tackle this issue de Bock et al. [22] performed a study in which eight patients were treated with 670G in clinic conditions for four days and three nights. Patients prior to the study had their VO2 measured. During the study patients had their sensor over calibrated on day 2 and day 3. The results obtained showed that algorithms were able to prevent patients from severe hypoglycaemia during sensor malfunctioning and exercising. The limits of the study include its short period and small number of patients.

Mobile apps

People are now guided by mobile apps in every aspect of their life, from GPS to meeting new people. In this abundance of applications, we wanted to check if there are any that help diabetic patients with their everyday life. Dennison et al. [23] designed a study in which they measured young adults’ readiness and motivation for using medical apps. The study showed that they are indeed interested in apps that help them achieve a wanted change. However, some people had less compliance due to lack of the motivation for systematic use of said apps. Sutton [24] in his article regarding weight-loss-aiding apps suggests that they might be a useful tool for personalising a treatment plan for the patient, but randomised trials performed on the efficiency of remote self-monitoring as well as behavioural interventions are required. That is especially important since Baker and Kirschenbauml [25] and Tate et al. [26] proved that there is a strong correlation between success in weight loss and dietary self-monitoring. This leads to the conclusion that a study should be performed to determine whether apps can be efficient in motivating patients to be consistent, and whether they can be a tool that will ease doctors with their work. As this problem was bothering researchers Burke et al. [27] they designed a SMART study in which they tried to establish this link. What they noticed was that the apps are highly likely to be of great use in helping people to manage their weight, although at the time of the study it was just a presumption.
In 2013 the Nightscout project emerged [28]. It is an astronomical virtual project coordinated worldwide with the intention of easing parents with the fear of their child falling into hypoglycaemia. The whole system is based on open source code, which permits transmission of data from the CGM to the respective smartphone application in real-time, allowing constant blood glucose control without the necessity of being in the proximity of the child. However noble this initiative is, there are still challenges of legal and ethical issues that stand in the way of FDA approval. A major obstacle is the open code, which is susceptible to changes being made by anyone, thus limiting responsibility for a malfunction.

Social media

Facebook, Instagram, Snapchat, Twitter; these are the staples of human communication in the 21st century, and especially for young people virtual reality has become a second life. Ng [29] assessed the way social media influences the outcomes in a paediatric group of patients. In order to do so, he established three pillars of intervention: a Facebook page to communicate with parents and patients, Twinkle Net to manage remotely, and DIASEND to upload data from the CGM and insulin pump. The results were very good – patients achieved target HbA1C levels in larger numbers than before introducing technological ways, and what is also important, patients reported that their quality of life had improved. Engagement is a severe problem in managing chronic disease; therefore, Rus [30] wanted to establish how a diabetic page should be posted in order to get as much attention as possible. What they found is that messages should contain images to involving patients and therefore mobilise them to take care of diabetes. Beasley et al. [31] designed a campaign in social media in order to raise awareness of obesity and increase involvement in type 2 diabetes, the results obtained from this social media campaign show that social media is a great tool for engaging people in actions regarding their disease. The newly published review on social media use in diabetes by Gabarron et al. [32] found that the use of the latter platforms improved or at least had no impact on the management of diabetes. While the reports on the positive aspect of social media are encouraging, one should bear in mind the possibility of finding information that may harm the treatment. Another important aspect when using both social media and mobile apps is the information required by the service provider. The personal data gathered by the provider may be sold to third parties, thus one should very carefully share such fragile data and read the terms and conditions diligently.

Non-invasive glucose level measuring

While CGM provides physicians with accurate data regarding blood glucose levels throughout the day [33], it does require to be active at least 50-60% of the time [34], which might be problematic for same patients. To combat these issues medical companies were forced to develop less invasive forms of blood glucose measurement. A flash glucose monitoring system monitors the level of interstitial glucose, which, when compared with capillary blood glucose measurement, showed a similar accuracy of glucose values [35]. However great it may be, this product still requires the patient to inject a sensor, which might be an issue for certain groups of patients. To tackle this obstacle an innovative method was introduced into the market, which requires a patient to just put a clicker onto the ear, scan, and then wait for a BG value to be displayed. It is a huge step forward in glycaemia control.


Modern technologies have revolutionised the way doctors take care of diabetic patients. Starting with the intelligent systems that are able to predict the occurrence of glycaemic excursion and reduce or increase insulin delivery. We are now closer than ever to producing a fully functional artificial pancreas and to be able to fully restore the hormonal balance in these patients. While insulin dosing is not everything, patients need to feel safe while trusting their lives with the device; GCM allows patients to further ease the everyday worries of hypoglycaemia occurrence. However, despite the advancement of technology, it is still up to patients’ determination and reliability to fully utilise the potential the devices have to offer. That is where mobile apps come in handy. They remind patients to take everyday actions in their treatment plan, which makes it easier to follow a routine, increases the chances of preventing long-term complications, and raises the compliance of the patient, whilst doing it in non-invasive way and preferably playful. In the 21st century social media has become a key player in connecting people all over the world, and when used correctly it can be a huge player in the arena of informing and coordinating patients’ needs and questions.


1. Selam JL. Evolution of diabetes insulin delivery devices. J Diabetes Sci Technol 2010; 4: 505-513. doi: 10.1177/193229681000400302
2. Zabeen B, Craig ME, Virk SA, et al. Insulin Pump Therapy Is Associated with Lower Rates of Retinopathy and Peripheral Nerve Abnormality. PLoS One 2016; 11: e0153033. doi: 10.1371/journal.pone.0153033
3. David G, Gill M, Gunnarsson C, et al. Switching from multiple daily injections to CSII pump therapy: insulin expenditures in type 2 diabetes. Am J Manag Care 2014; 20: e490-497.
4. Wainstein J, Metzger M, Boaz M, et al. Insulin pump therapy vs. multiple daily injections in obese Type 2 diabetic patients. Diabet Med 2005; 22: 1037-1046. doi: 10.1111/j.1464-5491.2005.01597.x
5. Renard E. Intensive insulin therapy today: ‘basal-bolus’ using multiple daily injections or CSII? Diabetes Metab 2005; 31 (4 Pt 2): 4S40-4S44.
6. Conget I, Castaneda J, Petrovski G, et al. The Impact of Insulin Pump Therapy on Glycemic Profiles in Patients with Type 2 Diabetes: Data from the OpT2mise Study. Diabetes Technol Ther 2016; 18: 22-28. doi: 10.1089/dia.2015.0159
7. Abaci A, Atas A, Unuvar T, et al. A comparison of multiple daily insulin therapy with continuous subcutaneous insulin infusion therapy in adolescents with type 1 diabetes mellitus: a single-center experience from Turkey. J Pediatr Endocrinol Metab 2009; 22: 539-545.
8. Quirós C, Giménez M, Ríos P, et al. Long‐term outcome of insulin pump therapy: reduction of hypoglycaemia and impact on glycaemic control. Diabet Med 2016; 33: 1422-1426. doi: 10.1111/dme.13094
9. Pickup JC, Renard E. Long-acting insulin analogs versus insulin pump therapy for the treatment of type 1 and type 2 diabetes. Diabetes Care 2008; 31 Suppl 2: S140-S145. doi: 10.2337/dc08-s235
10. Miller KM, Beck RW, Bergenstal RM, et al. Evidence of a strong association between frequency of self-monitoring of blood glucose and hemoglobin A1c levels in T1D Exchange clinic registry participants. Diabetes Care 2013; 36: 2009-2014. doi: 10.2337/dc12-1770
11. Walker TC, Yucha CB. Continuous glucose monitors use of waveform versus glycemic values in the improvements of glucose control, quality of life, and fear of hypoglycemia. J Diabetes Sci Technol 2014; 8: 488-493. doi: 10.1177/1932296814528434
12. Choudhary P, Ramasamy S, Green L, et al. Real-time continuous glucose monitoring significantly reduces severe hypoglycemia in hypoglycemia-unaware patients with type 1 diabetes. Diabetes Care 2013; 36: 4160-4162. doi: 10.2337/dc13-0939
13. van Beers C, DeVries J, Kleijer S , et al. Continuous glucose monitoring for patients with type 1 diabetes and impaired awareness of hypoglycaemia (IN CONTROL): a randomised, open-label, crossover trial. Lancet Diabetes Endocrinol 2016; 4: 893-902. doi: 10.1016/S2213-8587(16)30193-0
14. Bally L, Zueger T, Pasi N, et al. Accuracy of continuous glucose monitoring during differing exercise conditions. Diabetes Res Clin Pract 2016; 112: 1-5. doi: 10.1016/j.diabres.2015.11.012
15. Yamada E, Okada S, Nakajima Y, et al. Hba1C And Mean Glucose Derived From Short Term Continuous Glucose Monitoring (Cgm) Assessment Do Not Correlate In Patients With Hba1C >8%. Endocr Pract 2017; 23: 10-16. doi: 10.4158/EP161363.OR
16. Bergenstal R M, Tamborlane W V, Ahmann A, et al. Effectiveness of sensor-augmented insulin-pump therapy in type 1 diabetes. N Engl J Med 2010; 363: 311-320. doi: 10.1056/NEJMoa1002853
17. Hirsch I B, Abelseth J, Bode B W, et al. Sensor-augmented insulin pump therapy: results of the first randomized treat-to-target study. Diabetes Technol Ther 2008; 10: 377-383. doi: 10.1089/dia.2008.0068
18. Rosenlund S, Hansen T W, Rossing P, et al. Effect of sensor-augmented pump treatment versus multiple daily injections on albuminuria: a 1-year randomized study. J Clin Endocrinol Metab 2015; 100: 4181-4188. doi: 10.1210/jc.2015-2839
19. Choudhary P, Olsen BS, Conget I, et al. Hypoglycemia prevention and user acceptance of an insulin pump system with predictive low glucose management. Diabetes Technol Ther 2016; 18: 288-291. doi: 10.1089/dia.2015.0324
20. Zhong A, Choudhart P, McMahon C, et al. Effectiveness of Automated Insulin Management Features of the MiniMed® 640G Sensor-Augmented InsulinPump. Diabetes Technol Ther 2016; 18: 657-663.
21. Bergenstal RM, Garg S, Weinzimer SA, et al. Safety of a Hybrid Closed-Loop Insulin Delivery System in Patients With Type 1 Diabetes. JAMA 2016; 316: 1407-1408. doi: 10.1001/jama.2016.11708
22. de Bock M, Dart J, Roy A, et al. Exploration of the Performance of a Hybrid Closed Loop Insulin Delivery Algorithm That Includes Insulin Delivery Limits Designed to Protect Against Hypoglycemia. J Diabetes Sci Technol. 2017; 11: 68-73. doi: 10.1177/1932296816668876
23. Dennison L, Morrison L, Conway G, et al. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study J Med Internet Res 2013; 15: e86. doi: 10.2196/jmir.2583
24. Sutton EF, Redman LM. Smartphone applications to aid weight loss and management: current perspectives. Diabetes Metab Syndr Obes 2016; 9: 213-216. doi: 10.2147/DMSO.S89839
25. Baker RC, Kirschenbaum DS. Weight control during the holidays: highly consistent self-monitoring as a potentially useful coping mechanism. Health Psychol 1998; 17: 367-370.
26. Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA 2001; 285: 1172-1177.
27. Burke LE, Styn M A, Glanz K, et al. SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemp Clin Trials 2009; 30: 540-551. doi: 10.1016/j.cct.2009.07.003
28. Lee J M, Hirschfeld E, Wedding J. A patient-designed do-it-yourself mobile technology system for diabetes: promise and challenges for a new era in medicine. JAMA 2016; 315: 1447-1448. doi: 10.1001/jama.2016.1903
29. Ng SM. Improving patient outcomes with technology and social media in paediatric diabetes. BMJ Qual Improv Rep 2015; 4. pii: u209396.w3846. doi: 10.1136/bmjquality.u209396.w3846
30. Rus HM, Cameron LD. Health Communication in Social Media: Message Features Predicting User Engagement on Diabetes-Related Facebook Pages. Ann Behav Med 2016; 50: 678-689. doi: 10.1007/s12160-016-9793-9
31. George KS, Roberts CB, Beasley, et al. Our health is in our hands a social marketing campaign to combat obesity and diabetes. Am J Health Promot 2016; 30: 283-286. doi: 10.1177/0890117116639559.
32. Gabarron E, Årsand E, Wynn R. Social media use in interventions for diabetes: rapid evidence-based review. J Med Internet Res 2018; 20: e10303. doi: 10.2196/10303
33. Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group. The effect of continuous glucose monitoring in well-controlled type 1 diabetes Diabetes Care 2009; 32: 1378-1383. doi: 10.2337/dc09-0108
34. Liebl A, Henrichs H R, Heinemann L, et al. Continuous glucose monitoring: evidence and consensus statement for clinical use. J Diabetes Sci Technol 2013; 7: 500-519. doi: 10.1177/193229681300700227
35. Bailey T, Bode BW, Christiansen MP, et al. The performance and usability of a factory-calibrated flash glucose monitoring system. Diabetes Technol Ther 2015; 17: 787-794. doi: 10.1089/dia.2014.0378
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