Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Empagliflozin add-on therapy to closed-loop insulin delivery in type 1 diabetes: a 2 × 2 factorial randomized crossover trial

Abstract

There is a need to optimize closed-loop automated insulin delivery in type 1 diabetes. We assessed the glycemic efficacy and safety of empagliflozin 25 mg d−1 as add-on therapy to insulin delivery with a closed-loop system. We performed a 2 × 2 factorial randomized, placebo-controlled, crossover two-center trial in adults, assessing 4 weeks of closed-loop delivery versus sensor-augmented pump (SAP) therapy and empagliflozin versus placebo. The primary outcome was time spent in the glucose target range (3.9–10.0 mmol l−1). Primary comparisons were empagliflozin versus placebo in each of closed-loop or SAP therapy; the remaining comparisons were conditional on its significance. Twenty-four of 27 randomized participants were included in the final analysis. Compared to placebo, empagliflozin improved time in target range with closed-loop therapy by 7.2% and in SAP therapy by 11.4%. Closed-loop therapy plus empagliflozin improved time in target range compared to SAP therapy plus empagliflozin by 6.1% but by 17.5% for the combination of closed-loop therapy and empagliflozin compared to SAP therapy plus placebo. While no diabetic ketoacidosis or severe hypoglycemia occurred during any intervention, uncomplicated ketosis events were more common on empagliflozin. Empagliflozin 25 mg d−1 added to automated insulin delivery improves glycemic control but increases ketone concentration and ketosis compared to placebo.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2: The median (IQR) profiles of glucose levels during the interventions from midnight to midnight.

Similar content being viewed by others

Code availability

The code used for analysis is available from the corresponding author. The predictive control algorithm cannot be made publicly available because it is proprietary intellectual property. The control algorithm cannot be used in routine practice in the outpatient setting because regulatory approval has not yet been granted.

References

  1. Haidar, A. The artificial pancreas: how closed-loop control is revolutionizing diabetes. IEEE Control Syst. 36, 28–47 (2016).

    Article  Google Scholar 

  2. Brown, S. A. et al. Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. N. Engl. J. Med. 381, 1707–1717 (2019).

    Article  CAS  Google Scholar 

  3. Thabit, H. et al. Use of an artificial beta cell in type 1 diabetes. N. Engl. J. Med. 373, 2129–2140 (2015).

    Article  CAS  Google Scholar 

  4. Collyns, O. J. et al. Improved glycemic outcomes with Medtronic MiniMed Advanced Hybrid Closed-Loop delivery: results from a randomized crossover trial comparing automated insulin delivery with predictive low glucose suspend in people with type 1 diabetes. Diabetes Care 44, 969–975 (2021).

    Article  CAS  Google Scholar 

  5. Benhamou, P.-Y. 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. Health 1, e17–e25 (2019).

    Article  Google Scholar 

  6. Bergenstal, R. M. et al. A comparison of two hybrid closed-loop systems in adolescents and young adults with type 1 diabetes (FLAIR): a multicentre, randomised, crossover trial. Lancet 397, 208–219 (2021).

    Article  CAS  Google Scholar 

  7. Heerspink, H. J. L., Perkins, B. A., Fitchett, D. H., Husain, M. & Cherney, D. Z. I. Sodium glucose cotransporter 2 inhibitors in the treatment of diabetes mellitus: cardiovascular and kidney effects, potential mechanisms, and clinical applications. Circulation 134, 752–772 (2016).

    Article  CAS  Google Scholar 

  8. Mudaliar, S. et al. Remogliflozin etabonate, a selective inhibitor of the sodium-glucose transporter 2, improves serum glucose profiles in type 1 diabetes. Diabetes Care 35, 2198–2200 (2012).

    Article  CAS  Google Scholar 

  9. Taylor, S. I., Blau, J. E., Rother, K. I. & Beitelshees, A. L. SGLT2 inhibitors as adjunctive therapy for type 1 diabetes: balancing benefits and risks. Lancet Diabetes Endocrinol. 7, 949–958 (2019).

    Article  Google Scholar 

  10. Lu, J., Tang, L., Meng, H., Zhao, J. & Liang, Y. Effects of sodium-glucose cotransporter (SGLT) inhibitors in addition to insulin therapy on glucose control and safety outcomes in adults with type 1 diabetes: a meta-analysis of randomized controlled trials. Diabetes Metab. Res. Rev. 35, e3169 (2019).

    Article  Google Scholar 

  11. Groop, P.-H. et al. Effect of dapagliflozin as an adjunct to insulin over 52 weeks in individuals with type 1 diabetes: post-hoc renal analysis of the DEPICT randomised controlled trials. Lancet Diabetes Endocrinol. 8, 845–854 (2020).

    Article  CAS  Google Scholar 

  12. Musso, G., Gambino, R., Cassader, M. & Paschetta, E. Efficacy and safety of dual SGLT 1/2 inhibitor sotagliflozin in type 1 diabetes: meta-analysis of randomised controlled trials. BMJ 365, l1328 (2019).

    Article  Google Scholar 

  13. Taylor, S. I., Blau, J. E. & Rother, K. I. SGLT2 inhibitors may predispose to ketoacidosis. J. Clin. Endocrinol. Metab. 100, 2849–2852 (2015).

    Article  CAS  Google Scholar 

  14. Rosenstock, J. et al. Empagliflozin as adjunctive to insulin therapy in type 1 diabetes: the EASE trials. Diabetes Care 41, 2560–2569 (2018).

    Article  CAS  Google Scholar 

  15. Mathieu, C. et al. Benefit/risk profile of dapagliflozin 5 mg in the DEPICT-1 and -2 trials in individuals with type 1 diabetes and body mass index ≥27 kg/m2. Diabetes Obes. Metab. 22, 2151–2160 (2020).

    Article  CAS  Google Scholar 

  16. Kaku, K., Isaka, H., Sakatani, T. & Toyoshima, J. Efficacy and safety of ipragliflozin add-on therapy to insulin in Japanese patients with type 1 diabetes mellitus: a randomized, double-blind, phase 3 trial. Diabetes Obes. Metab. 21, 2284–2293 (2019).

    Article  CAS  Google Scholar 

  17. Pieber, T. R. et al. Empagliflozin as adjunct to insulin in patients with type 1 diabetes: a 4-week, randomized, placebo-controlled trial (EASE-1). Diabetes Obes. Metab. 17, 928–935 (2015).

    Article  CAS  Google Scholar 

  18. Battelino, T. et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the International Consensus on Time in Range. Diabetes Care 42, 1593–1603 (2019).

    Article  Google Scholar 

  19. Danne, T. et al. Efficacy and safety of adding sotagliflozin, a dual sodium-glucose co-transporter (SGLT)1 and SGLT2 inhibitor, to optimized insulin therapy in adults with type 1 diabetes and baseline body mass index ≥27 kg/m2. Diabetes Obes. Metab. 23, 854–860 (2021).

    Article  CAS  Google Scholar 

  20. Singh, S., Rushakoff, R. J. & Neinstein, A. B. A case report of diabetic ketoacidosis with combined use of a sodium glucose transporter 2 inhibitor and hybrid closed-loop insulin delivery. J. Diabetes Sci. Technol. 13, 605–606 (2019).

    Article  Google Scholar 

  21. Zhang, J. Y., Shang, T., Koliwad, S. K. & Klonoff, D. C. Continuous ketone monitoring: a new paradigm for physiologic monitoring. J. Diabetes Sci. Technol. 15, 775–780 (2021).

    Article  Google Scholar 

  22. Goldenberg, R. M., Gilbert, J. D., Hramiak, I. M., Woo, V. C. & Zinman, B. Sodium-glucose co-transporter inhibitors, their role in type 1 diabetes treatment and a risk mitigation strategy for preventing diabetic ketoacidosis: the STOP DKA Protocol. Diabetes Obes. Metab. 21, 2192–2202 (2019).

    Article  CAS  Google Scholar 

  23. Garg, S. K., Peters, A. L., Buse, J. B. & Danne, T. Strategy for mitigating DKA risk in patients with type 1 diabetes on adjunctive treatment with SGLT inhibitors: a STICH Protocol. Diabetes Technol. Ther. 20, 571–575 (2018).

    Article  Google Scholar 

  24. Alva, S., Castorino, K., Cho, H. & Ou, J. Feasibility of continuous ketone monitoring in subcutaneous tissue using a ketone sensor. J. Diabetes Sci. Technol. 15, 768–774 (2021).

    Article  CAS  Google Scholar 

  25. Nguyen, K. T. et al. Continuous Ketone Monitoring Consensus Report 2021. J. Diabetes Sci. Technol. https://doi.org/10.1177/19322968211042656 (2021).

  26. Cifuentes, M., Albala, C. & Rojas, C. V. Differences in lipogenesis and lipolysis in obese and non-obese adult human adipocytes. Biol. Res. 41, 197–204 (2008).

    Article  Google Scholar 

  27. Herring, R. A. et al. Metabolic effects of an SGLT2 inhibitor (dapagliflozin) during a period of acute insulin withdrawal and development of ketoacidosis in people with type 1 diabetes. Diabetes Care 43, 2128–2136 (2020).

    Article  CAS  Google Scholar 

  28. Schoelwer, M. J. et al. Predictors of time-in-range (70–180 mg/dL) achieved using a closed-loop control system. Diabetes Technol. Ther. 23, 475–481 (2021).

    Article  CAS  Google Scholar 

  29. Pasqua, M.-R., Tsoukas, M. A. & Haidar, A. Strategically playing with fire: SGLT inhibitors as possible adjunct to closed-loop insulin therapy. J. Diabetes Sci. Technol. 15, 1232–1242 (2021).

    Article  CAS  Google Scholar 

  30. Lind, M. et al. Glycemic control and excess mortality in type 1 diabetes. N. Engl. J. Med. 371, 1972–1982 (2014).

    Article  Google Scholar 

  31. Biester, T. 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, 599–608 (2021).

    Article  CAS  Google Scholar 

  32. Haidar, A. et al. Reducing the need for carbohydrate counting in type 1 diabetes using closed-loop automated insulin delivery (artificial pancreas) and empagliflozin: a randomized, controlled, non-inferiority, crossover pilot trial. Diabetes Obes. Metab. 23, 1272–1281 (2021).

    Article  CAS  Google Scholar 

  33. Ndefo, U. A., Anidiobi, N. O., Basheer, E. & Eaton, A. T. Empagliflozin (Jardiance): a novel SGLT2 inhibitor for the treatment of type-2 diabetes. P T 40, 364–368 (2015).

    PubMed  PubMed Central  Google Scholar 

  34. Haidar, A., Duval, C., Legault, L. & Rabasa-Lhoret, R. Pharmacokinetics of insulin aspart and glucagon in type 1 diabetes during closed-loop operation. J. Diabetes Sci. Technol. 7, 1507–1512 (2013).

    Article  Google Scholar 

  35. Castle, J. R. et al. Randomized outpatient trial of single- and dual-hormone closed-loop systems that adapt to exercise using wearable sensors. Diabetes Care 41, 1471–1477 (2018).

    Article  CAS  Google Scholar 

  36. Haidar, A., Messier, V., Legault, L., Ladouceur, M. & Rabasa-Lhoret, R. Outpatient 60-hour day-and-night glucose control with dual-hormone artificial pancreas, single-hormone artificial pancreas, or sensor-augmented pump therapy in adults with type 1 diabetes: an open-label, randomised, crossover, controlled trial. Diabetes Obes. Metab. 19, 713–720 (2017).

    Article  CAS  Google Scholar 

  37. Haidar, A. et al. Comparison of dual-hormone artificial pancreas, single-hormone artificial pancreas, and conventional insulin pump therapy for glycaemic control in patients with type 1 diabetes: an open-label randomised controlled crossover trial. Lancet Diabetes Endocrinol. 3, 17–26 (2015).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This research was supported by the Juvenile Diabetes Research Foundation and by Diabetes Action Canada, a Canadian Institutes for Health Research (CIHR) Strategy for Patient-Oriented Research Network in Chronic Disease (grant no. 4-PAR-2017-327-A-N to A.H. and B.A.P.). B.A.P. holds the Sam and Judy Pencer Family Chair in Diabetes Clinical Research, University of Toronto and acknowledges research program support from the Menkes Fund and the David Wright Fund. A.H. holds the Canada Research Chair in Artificial Pancreas Systems (950-231305). We thank P. Jacob for providing the iPancreas research platform. No funder had any role in study design, data collection or interpretation, or writing of the manuscript. The study investigators had final responsibility for the decision to submit for publication.

Author information

Authors and Affiliations

Authors

Contributions

A.H., N.C., A.O., L.E.L., J.R., J.-F.Y. and B.A.P. designed the study. A.H., N.C., N.G.-P., A.O., M.A.T., C.M.F., J.-F.Y. and B.A.P. conducted the study. A.H., L.E.L., A.J., M.G. and D.E. carried out the data and statistical analyses. A.H. and B.A.P. are the guarantors of this work and, as such, had full access to the data and take responsibility for the integrity of the data analysis. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Bruce A. Perkins.

Ethics declarations

Competing interests

A.H. received research support/consulting fees from Eli Lilly, Medtronic, AgaMatrix, Tandem, Adocia and Dexcom, and has pending patents in the artificial pancreas area. M.A.T. received research support from AgaMatrix, consulting fees from Sanofi and speaker honoraria from Eli Lilly, Novo Nordisk, Boehringer Ingelheim, Janssen and AstraZeneca. J.-F.Y. received research support from Sanofi, Bayer and Novo Nordisk, and consulting fees and speaker honoraria from Sanofi, Eli Lilly, Novo Nordisk, Boehringer Ingelheim, Janssen, Takeda, Abbott, Merck and AstraZeneca. B.A.P. received speaker honoraria from Abbott, Medtronic, Insulet and Novo Nordisk, research support to his research institute from Boehringer Ingelheim and the Bank of Montreal, and has served as a consultant to Boehringer Ingelheim, Abbott and Novo Nordisk. N.C. has received speaker honoraria from AstraZeneca and consultation fees from Novo Nordisk and Antibody Research Corporation. L.E.L. received support from a CIHR Canada Graduate Scholarship Doctoral Award. The other authors declare no competing interests.

Peer review

Peer review information

Nature Medicine thanks Tadej Battelino, Victor Volovici and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Riikka Jokinen and Jennifer Sargent were the primary editors on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1

The proportion of participants achieving glycemic targets in each arm. n = 24 independent participants in each of the four settings.

Extended Data Fig. 2

The median (IQR) profiles of basal insulin delivery during the interventions. n = 24 independent participants in each of the four settings.

Extended Data Fig. 3

The relationship between individual mean fasting ketone level and BMI in each intervention arm.

Extended Data Fig. 4

Brochure provided to participants for the management of ketone levels while on empagliflozin, page 1 of 2.

Extended Data Fig. 5

Brochure provided to participants for the management of ketone levels while on empagliflozin, page 2 of 2.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Haidar, A., Lovblom, L.E., Cardinez, N. 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, 1269–1276 (2022). https://doi.org/10.1038/s41591-022-01805-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41591-022-01805-3

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing