metricas
covid
Buscar en
Endocrinología, Diabetes y Nutrición (English ed.)
Toda la web
Inicio Endocrinología, Diabetes y Nutrición (English ed.) Automated insulin delivery systems: Myths, legends and management of the Holy Gr...
Información de la revista
Vol. 70. Núm. 3.
Páginas 159-161 (marzo 2023)
Vol. 70. Núm. 3.
Páginas 159-161 (marzo 2023)
Editorial
Acceso a texto completo
Automated insulin delivery systems: Myths, legends and management of the Holy Grail
Sistemas automáticos de administración de insulina: mitos, leyendas y gestión del Santo Grial
Visitas
381
Alex Mesaa, Ignacio Congeta,b,c,
Autor para correspondencia
iconget@clinic.cat

Corresponding author.
a Servicio de Endocrinología y Nutrición, Hospital Clínic de Barcelona, Spain
b Institut d’investigacions biomèdiques August Pi I Sunyer (IDIBAPS), Spain
c Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain
Este artículo ha recibido
Información del artículo
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Texto completo

For centuries, the most intrepid explorers searched the entire face of the earth for the Holy Grail, hoping to find a relic with miraculous healing powers. In the same way, since the discovery of insulin 100 years ago, the scientific community has been searching for a device capable of automatic blood glucose control in patients with type 1 diabetes (T1D), without the risk of hypoglycaemia, which would help them cope with the eventualities typical of day-to-day life (exercise, meals, intercurrent illnesses, etc.), the so-called artificial pancreas (AP). In the last decade, there have been exponential advances in this direction, accentuated after the marketing of the first Automatic Insulin Delivery (AID) system five years ago. In light of the above, we ask ourselves, what is true and what is merely a myth about that Holy Grail known as the AP? And which patients can most benefit from its use?

In the absence of biological cure for T1D in the medium term, after the marketing of the first AID system in 2017, there was hope for a technological solution that would mean a true revolution in the management of this disease. Continuous subcutaneous insulin infusion (CSII) incorporates a control algorithm capable of automating infusion by integrating continuous glucose monitoring (CGM) data. The most advanced of these infusers not only adjust the basal insulin administered, but are capable of automatically administering corrective boluses to maintain blood glucose levels within the preset targets. Under this premise, expectations were inevitably high. However, the reality of currently marketed systems is that they still have limitations and challenges that must be considered and communicated to patients. To begin with, this system's controller is based on interstitial glucose values (a lag of 5−25 min compared to venous glucose measurements) and its action is delayed due to the delay in the absorption of the subcutaneous insulins that are currently available (peak at 45−60 min). For this reason, the marketed systems are still hybrid, which means they require the participation of the patient to announce intakes and count carbohydrates, while they also offer improved performance when undertaking physical exercise. Although some AID systems offer the option to increase the blood glucose target and even make the algorithm less aggressive, exercise planning is still essential with these settings. It should also be borne in mind that users of AID systems must have technical knowledge about how they operate and know how to return to the use of non-automated systems in the event of a malfunction. A final and equally important limitation is that they are expensive.

If we analyse the results reported in randomised clinical trials comparing the use of AP with sensor-augmented pump (SAP) therapy, these devices decrease HbA1c by 0.15−0.33% and increase the time in range (TIR) 70−180 mg/dl by 9–11%, achieving an average TIR close to 70% (65.0–71.2%).1–4 Even so, almost half of patients still do not achieve the established glycaemic control targets.5 The results obtained in real life are similar.6,7 However, we must keep in mind the clear superiority of AP in terms of glycaemic control compared to standard T1D treatment in Spain (multiple doses of insulin and flash glucose monitoring), where it has been shown to reduce HbA1c by 1.4% in patients with poor previous glycaemic control.8 In addition, for the first time we have a device that improves glycaemic control and, at the same time, decreases the risk of hypoglycaemia (or does not increase it).

The bulk of the evidence in terms of glycaemic control suggests that patients with suboptimal control are set to benefit the most from this type of therapy.9,10 In addition, the decrease in time in hypoglycaemia in most clinical trials also points to a benefit for the population with recurrent hypoglycaemia, although the specific evidence is scarce in this high-risk subgroup.11,12 Further, multiple studies have already confirmed its safety and efficacy in populations of all ages, from children one year of age13 to older adults.14 Despite the fact that the glycaemic targets pursued during pregnancy are lower than those offered by most AID systems on the market, there is also a device approved in the European Union for use in pregnant women.15 Consequently, the most recent clinical practice guidelines recommend considering starting this treatment in any T1D patient trained in its use, especially in those individuals with suboptimal glycaemic control, as well as in the population with recurrent hypoglycaemia.16,17 Finally, the notable benefit in terms of quality of life and relief from the drawbacks of T1D self-management in patients with good glycaemic control should also be an aspect to take into account.18,19 However, with one very recent exception,20 clinical guidelines, consensuses, expert recommendations or recommendations that come directly from a public health system that help us to discern, against a backdrop of limited financial resources, for which patients and scenarios we should prioritise the initiation of therapy with AP after standard treatment with multiple doses of insulin and CGM, are anecdotal. If such an important decision is left to arbitrariness and the situation specific to each individual centre and teams of professionals, the door to inequity remains open.

There are currently no comparative studies between the different hybrid AID systems, so there is no evidence as to the superiority of one over the others in terms of glycaemic control beyond anecdotal preference, often based on self-fulfilling prophecies. In fact, the dizzying rate of technological development results in enormous difficulty in generating comparative scientific evidence between devices of the same generation. Therefore, the availability or technical preferences (previous CSII or associated CGM system, control screen from mobile phone vs CSII, degree of complexity of use or parameters adjustable by the user) should prevail when choosing between AID systems. It must be taken into account that on many occasions the preferences of the user and the professional for one AP device over another are based on different criteria. Patients may prioritise usability, portability, convenience and ease of use, while the professional is generally more interested in features related to device performance and achievement of clinical goals. In this sense, we should also be able to help those patients who choose to use open source or do-it-yourself systems, which have already demonstrated their safety and efficacy, to optimise their glycaemic control.4,21,22

While we await the arrival of even faster insulins and a fully automatic AP system, in the not too distant future we will have increasingly portable systems, CSII devices without tubes,23 and that are more automated, circumventing, for example, the need for carbohydrate counts24; as well as bihormonal systems that incorporate glucagon25 for better prevention of hypoglycaemia, or pramlintide26 to optimise postprandial control. We will even have the option of using adjuvant treatments such as sodium glucose co-transporter 2 (SGLT2) inhibitors to increase TIR.27,28 The arrival of multiple AID systems with probably increasingly differentiated benefits should help us to better personalise treatment. Consequently, and as professionals, all this will also force us to update our knowledge so we can offer the best and most sustainable treatment to our patients.

In summary, although far from being perfect at present, AID systems have already broken paradigms and offer T1D patients the possibility of obtaining a degree of glycaemic control achievable to date with other treatments, without increasing the risk of hypoglycaemia, and improving their quality of life. Without overlooking the continuation of the task of seeking the Holy Grail and its miracles, it would be beneficial if we now concentrated on the more mundane management of all the good progress that we have already made and make AP treatment available in the fairest and most sustainable way possible to all T1D patients who need it.

References
[1]
S.A. Brown, B.P. Kovatchev, D. Raghinaru, J.W. Lum, B.A. Buckingham, Y.C. Kudva, et al.
Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes.
N Engl J Med, 381 (2019), pp. 1707-1717
[2]
M. Tauschmann, H. Thabit, L. Bally, J.M. Allen, S. Hartnell, M.E. Wilinska, et al.
Closed-loop insulin delivery in suboptimally controlled type 1 diabetes: a multicentre, 12-week randomised trial.
Lancet, 392 (2018), pp. 1321-1329
[3]
P.Y. Benhamou, S. Franc, Y. Reznik, C. Thivolet, P. Schaepelynck, E. Renard, et al.
Closed-loop insulin delivery in adults with type 1 diabetes in real-life conditions: a 12-week multicentre, open-label randomised controlled crossover trial.
Lancet Digit Heal, 1 (2019), pp. e17-25
[4]
M.J. Burnside, D.M. Lewis, H.R. Crocket, R.A. Meier, J.A. Williman, O.J. Sanders, et al.
Open-source automated insulin delivery in type 1 diabetes.
N Engl J Med, 387 (2022), pp. 869-881
[5]
T. Battelino, T. Danne, R.M. Bergenstal, S.A. Amiel, R. Beck, T. Biester, et al.
Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range.
Diabetes Care, 42 (2019), pp. 1593-1603
[6]
J.Da Silva, G. Lepore, T. Battelino, A. Arrieta, J. Castañeda, B. Grossman, et al.
Real-World Performance of the MiniMedTM 780G System: first report of outcomes from 4120 users.
Diabetes Technol Ther, 24 (2022), pp. 113-119
[7]
M.D. Breton, B.P. Kovatchev.
One year real-world use of the control-IQ advanced hybrid closed-loop technology.
Diabetes Technol Ther, 23 (2021), pp. 601-608
[8]
P. Choudhary, R. Kolassa, W. Keuthage, J. Kroeger, C. Thivolet, M. Evans, et al.
Advanced hybrid closed loop therapy versus conventional treatment in adults with type 1 diabetes (ADAPT): a randomised controlled study.
Lancet Diabetes Endocrinol, 10 (2022), pp. 720-731
[9]
L. Ekhlaspour, M. Town, D. Raghinaru, J.W. Lum, S.A. Brown, B.A. Buckingham.
Glycemic outcomes in baseline hemoglobin A1C subgroups in the international diabetes closed-loop trial.
Diabetes Technol Ther, 24 (2022), pp. 588-591
[10]
M.J. Schoelwer, L.G. Kanapka, R.P. Wadwa, M.D. Breton, K.J. Ruedy, L. Ekhlaspour, et al.
Predictors of time-in-range (70–180 mg/dL) achieved using a closed-loop control system.
Diabetes Technol Ther, 23 (2021), pp. 475-481
[11]
P.Y. Benhamou, S. Lablanche, A. Vambergue, M. Doron, S. Franc, G. Charpentier.
Patients with highly unstable type 1 diabetes eligible for islet transplantation can be managed with a closed-loop insulin delivery system: a series of N-of-1 randomized controlled trials.
Diabetes Obes Metab, 23 (2021), pp. 186-194
[12]
S.M. Anderson, B.A. Buckingham, M.D. Breton, J.L. Robic, C.L. Barnett, C.A. Wakeman, et al.
Hybrid closed-loop control is safe and effective for people with type 1 diabetes who are at moderate to high risk for hypoglycemia.
Diabetes Technol Ther, 21 (2019), pp. 356-363
[13]
J. Ware, J.M. Allen, C.K. Boughton, M.E. Wilinska, S. Hartnell, A. Thankamony, et al.
Randomized trial of closed-loop control in very young children with type 1 diabetes.
N Engl J Med, 386 (2022), pp. 209-219
[14]
C.K. Boughton, S. Hartnell, H. Thabit, W.M. Mubita, K. Draxlbauer, T. Poettler, et al.
Hybrid closed-loop glucose control compared with sensor augmented pump therapy in older adults with type 1 diabetes: an open-label multicentre, multinational, randomised, crossover study.
Lancet Heal Longev, 3 (2022), pp. e135-42
[15]
Z.A. Stewart, M.E. Wilinska, S. Hartnell, R.C. Temple, G. Rayman, K.P. Stanley, et al.
Closed-loop insulin delivery during pregnancy in women with type 1 diabetes.
N Engl J Med, 375 (2016), pp. 644-654
[16]
M. Phillip, R. Nimri, R.M. Bergenstal, K. Barnard-Kelly, T. Danne, R. Hovorka, et al.
Consensus recommendations for the use of automated insulin delivery (AID) technologies in clinical practice.
Endocr Rev, (2022), pp. 1-27
[17]
A.L. Mccall, D.C. Lieb, R. Gianchandani, H. Macmaster, G.A. Maynard, M.H. Murad, et al.
Management of individuals with diabetes at high risk for hypoglycemia : an endocrine society clinical practice guideline.
J Clin Endocrinol Metab, (2022), pp. 1-34
[18]
Y.C. Kudva, L.M. Laffel, S.A. Brown, D. Raghinaru, J.E. Pinsker, L. Ekhlaspour, et al.
Patient-reported outcomes in a randomized trial of closed-loop control: the pivotal international diabetes closed-loop trial.
Diabetes Technol Ther, 23 (2021), pp. 673-683
[19]
M.B. Abraham, M. De Bock, G.J. Smith, J. Dart, J.M. Fairchild, B.R. King, et al.
Effect of a hybrid closed-loop system on glycemic and psychosocial outcomes in children and adolescents with type 1 diabetes: a randomized clinical trial.
JAMA Pediatr, 175 (2021), pp. 1227-1235
[20]
National Institute for Health and Care Excellence (NICE).
Appraisal consultation document: hybrid closed loop systems for managing blood glucose levels in type 1 diabetes.
[21]
K. Braune, R.A. Lal, L. Petruželková, G. Scheiner, P. Winterdijk, S. Schmidt, et al.
Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals.
Lancet Diabetes Endocrinol, 10 (2022), pp. 58-74
[22]
C. Knoll, S. Peacock, M. Wäldchen, D. Cooper, S.K. Aulakh, K. Raile, et al.
Real-world evidence on clinical outcomes of people with type 1 diabetes using open-source and commercial automated insulin dosing systems: a systematic review.
Diabet Med, 39 (2022), pp. 1-16
[23]
S.A. Brown, G.P. Forlenza, B.W. Bode, J.E. Pinsker, C.J. Levy, A.B. Criego, et al.
Multicenter trial of a tubeless, on-body automated insulin delivery system with customizable glycemic targets in pediatric and adult participants with type 1 diabetes.
Diabetes Care, 44 (2021),
[24]
S.J. Russell, R.W. Beck, E.R. Damiano, F.H. El-Khatib, K.J. Ruedy, C.A. Balliro, et al.
Multicenter, randomized trial of a bionic pancreas in type 1 diabetes.
N Engl J Med, 387 (2022), pp. 1161-1172
[25]
L.E. Castellanos, C.A. Balliro, J.S. Sherwood, R. Jafri, M.A. Hillard, E. Greaux, et al.
Performance of the insulin-only ilet bionic pancreas and the bihormonal ilet using dasiglucagon in adults with type 1 diabetes in a home-use setting.
Diabetes Care, 44 (2021), pp. e118-20
[26]
A. Haidar, M.A. Tsoukas, S. Bernier-Twardy, J.F. Yale, J. Rutkowski, A. Bossy, et al.
A novel dual-hormone insulin- and-pramlintide artificial pancreas for type 1 diabetes: a randomized controlled crossover trial.
Diabetes Care, 43 (2020), pp. 597-606
[27]
T. Biester, I. Muller, T. von dem Berge, E. Atlas, R. Nimri, M. Phillip, et al.
Add-on therapy with dapagliflozin under full closed loop control improves time in range in adolescents and young adults with type 1 diabetes: the DAPADream study.
Diabetes Obes Metab, 23 (2021), pp. 599-608
[28]
A. Haidar, L.E. Lovblom, N. Cardinez, N. Gouchie-Provencher, A. Orszag, M.A. Tsoukas, et al.
Empagliflozin add-on therapy to closed-loop insulin delivery in type 1 diabetes: a 2 × 2 factorial randomized crossover trial.
Nat Med, 28 (2022), pp. 1269-1276
Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos