Literature DB >> 28768688

Use of Adjuvant Pharmacotherapy in Type 1 Diabetes: International Comparison of 49,996 Individuals in the Prospective Diabetes Follow-up and T1D Exchange Registries.

Sarah K Lyons1, Julia M Hermann2,3, Kellee M Miller4, Sabine E Hofer5, Nicole C Foster6, Birgit M Rami-Merhar7, Grazia Aleppo8, Jochen Seufert9, Linda A DiMeglio10, Thomas Danne11, David M Maahs12, Reinhard W Holl2,3.   

Abstract

Entities:  

Year:  2017        PMID: 28768688      PMCID: PMC6463738          DOI: 10.2337/dc17-0403

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


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The majority of those with type 1 diabetes (T1D) have suboptimal glycemic control (1–4); therefore, use of adjunctive pharmacotherapy to improve control has been of clinical interest. While noninsulin medications approved for type 2 diabetes have been reported in T1D research and clinical practice (5), little is known about their frequency of use. The T1D Exchange (T1DX) registry in the U.S. and the Prospective Diabetes Follow-up (DPV) registry in Germany and Austria are two large consortia of diabetes centers; thus, they provide a rich data set to address this question. For the analysis, 49,996 pediatric and adult patients with diabetes duration ≥1 year and a registry update from 1 April 2015 to 1 July 2016 were included (19,298 individuals from 73 T1DX sites and 30,698 individuals from 354 DPV sites). Adjuvant medication use (metformin, glucagon-like peptide 1 [GLP-1] receptor agonists, dipeptidyl peptidase 4 [DPP-4] inhibitors, sodium–glucose cotransporter 2 [SGLT2] inhibitors, and other noninsulin diabetes medications including pramlintide) was extracted from participant medical records. The proportion using adjuvant medication was tabulated by registry and overall and stratified by medication class and age range. Logistic regression models to assess factors associated with adjuvant medication use were performed by registry. Linear regression was performed to assess the association between adjuvant medication use and HbA1c, adjusting for age, sex, diabetes duration, ethnic/minority status, BMI, and total daily insulin. The use of any adjuvant medication was 5.4% in T1DX and 1.6% in DPV (P < 0.001). Metformin was the most commonly reported medication in both registries, with 3.5% in the T1DX and 1.3% in the DPV (P < 0.001). For the T1DX, GLP-1 agonists were next (0.91%), followed by SGLT2 inhibitors (0.63%) and DPP-4 inhibitors (0.04%). In DPV, DPP-4 inhibitor use frequency was 0.13%, followed by that of SGLT2 inhibitors (0.13%) and GLP-1 agonists (0.07%). “Other” medications, which included pramlintide (T1DX only), sulfonylureas, and incretin therapy of unknown type, were the third most common agents used in T1DX and second in DPV (0.86% and 0.21%, respectively). The frequency of adjuvant medication increased with age for combined registry data. However, when separated by registry, adjuvant use was highest in those aged 26 to <50 years in the T1DX (12.1%) while it was highest in those aged ≥50 years in the DPV (7.0%) (Fig. 1). Use of adjuvant medication was associated with older age, higher BMI, and longer diabetes duration in both registries; female sex in T1DX only; and lower total daily insulin dose in DPV only (all P < 0.001). Mean ± SD HbA1c in those using and not using adjuvant medication was 8.4 ± 1.7% (68 ± 18 mmol/mol) vs. 8.5 ± 1.7% (69 ± 18 mmol/mol) in T1DX (adjusted P = 0.04) and 8.2 ± 1.7% (66 ± 18 mmol/mol) vs. 7.9 ± 1.5% (63 ± 16 mmol/mol) in DPV (adjusted P < 0.001).
Figure 1

Use of adjuvant noninsulin medication by registry, stratified by age range. Solid white bar, metformin; solid black bar, DPP-4 inhibitor; horizontal striped bar, GLP-1 agonist; dotted bar, SGLT2 inhibitor; vertical striped bar, other.

Use of adjuvant noninsulin medication by registry, stratified by age range. Solid white bar, metformin; solid black bar, DPP-4 inhibitor; horizontal striped bar, GLP-1 agonist; dotted bar, SGLT2 inhibitor; vertical striped bar, other. Adjunctive agents, whose proposed benefits may include the ability to improve glycemic control, reduce insulin doses, promote weight loss, and suppress dysregulated postprandial glucagon secretion, have had little penetrance as part of the daily medical regimen of those in the registries studied. Use of these agents was higher in the T1DX than in the DPV and more common in adults as compared with youth with T1D. Metformin was the most commonly reported medication; however, it is important to note that registry data did not capture the intent of adjuvant medications, which may have been to treat polycystic ovarian syndrome in women. Further prospective study of the patterns of adjuvant pharmacotherapy use and the long-term impact on metabolic control is needed in patients with T1D.
  5 in total

1.  Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry.

Authors:  Kellee M Miller; Nicole C Foster; Roy W Beck; Richard M Bergenstal; Stephanie N DuBose; Linda A DiMeglio; David M Maahs; William V Tamborlane
Journal:  Diabetes Care       Date:  2015-06       Impact factor: 19.112

Review 2.  Non-insulin drugs to treat hyperglycaemia in type 1 diabetes mellitus.

Authors:  Christian Seerup Frandsen; Thomas Fremming Dejgaard; Sten Madsbad
Journal:  Lancet Diabetes Endocrinol       Date:  2016-03-09       Impact factor: 32.069

3.  Type 1 diabetes in older adults: Comparing treatments and chronic complications in the United States T1D Exchange and the German/Austrian DPV registries.

Authors:  Ruth S Weinstock; Ingrid Schütz-Fuhrmann; Crystal G Connor; Julia M Hermann; David M Maahs; Morten Schütt; Shivani Agarwal; Sabine E Hofer; Roy W Beck; Reinhard W Holl
Journal:  Diabetes Res Clin Pract       Date:  2016-10-04       Impact factor: 5.602

4.  Glycaemic control of Type 1 diabetes in clinical practice early in the 21st century: an international comparison.

Authors:  J A McKnight; S H Wild; M J E Lamb; M N Cooper; T W Jones; E A Davis; S Hofer; M Fritsch; E Schober; J Svensson; T Almdal; R Young; J T Warner; B Delemer; P F Souchon; R W Holl; W Karges; D M Kieninger; S Tigas; A Bargiota; C Sampanis; V Cherubini; R Gesuita; I Strele; S Pildava; K J Coppell; G Magee; J G Cooper; S F Dinneen; K Eeg-Olofsson; A-M Svensson; S Gudbjornsdottir; H Veeze; H-J Aanstoot; M Khalangot; W V Tamborlane; K M Miller
Journal:  Diabet Med       Date:  2015-02-21       Impact factor: 4.359

5.  Contrasting the clinical care and outcomes of 2,622 children with type 1 diabetes less than 6 years of age in the United States T1D Exchange and German/Austrian DPV registries.

Authors:  David M Maahs; Julia M Hermann; Stephanie N DuBose; Kellee M Miller; Bettina Heidtmann; Linda A DiMeglio; Birgit Rami-Merhar; Roy W Beck; Edith Schober; William V Tamborlane; Thomas M Kapellen; Reinhard W Holl
Journal:  Diabetologia       Date:  2014-06-04       Impact factor: 10.122

  5 in total
  14 in total

1.  Exploring Patient Preferences for Adjunct-to-Insulin Therapy in Type 1 Diabetes.

Authors:  Bruce A Perkins; Julio Rosenstock; Jay S Skyler; Lori M Laffel; David Z Cherney; Chantal Mathieu; Christianne Pang; Richard Wood; Ona Kinduryte; Jyothis T George; Jan Marquard; Nima Soleymanlou
Journal:  Diabetes Care       Date:  2019-06-08       Impact factor: 19.112

Review 2.  Evolving Pharmacotherapeutic Strategies for Type 1 Diabetes Mellitus.

Authors:  Samie Sabet; Michelle E Condren; Angela F Boston; Lauren C Doak; Laura J Chalmers
Journal:  J Pediatr Pharmacol Ther       Date:  2018 Sep-Oct

3.  Improved Time in Range and Glycemic Variability With Sotagliflozin in Combination With Insulin in Adults With Type 1 Diabetes: A Pooled Analysis of 24-Week Continuous Glucose Monitoring Data From the inTandem Program.

Authors:  Thomas Danne; Bertrand Cariou; John B Buse; Satish K Garg; Julio Rosenstock; Phillip Banks; Jake A Kushner; Darren K McGuire; Anne L Peters; Sangeeta Sawhney; Paul Strumph
Journal:  Diabetes Care       Date:  2019-03-04       Impact factor: 19.112

Review 4.  Bone health in type 1 diabetes.

Authors:  Viral N Shah; R Dana Carpenter; Virginia L Ferguson; Ann V Schwartz
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2018-08       Impact factor: 3.243

5.  Therapy: SGLT inhibition in T1DM - definite benefit with manageable risk.

Authors:  Ele Ferrannini; Anna Solini
Journal:  Nat Rev Endocrinol       Date:  2017-10-27       Impact factor: 43.330

Review 6.  Sodium-Glucose Transporter Inhibition in Adult and Pediatric Patients with Type 1 Diabetes Mellitus.

Authors:  Rebecca J Vitale; Lori M Laffel
Journal:  Adv Chronic Kidney Dis       Date:  2021-07       Impact factor: 4.305

7.  Therapeutic Inertia in Pediatric Diabetes: Challenges to and Strategies for Overcoming Acceptance of the Status Quo.

Authors:  Sarah D Corathers; Daniel J DeSalvo
Journal:  Diabetes Spectr       Date:  2020-02

8.  Sotagliflozin in Combination With Optimized Insulin Therapy in Adults With Type 1 Diabetes: The North American inTandem1 Study.

Authors:  John B Buse; Satish K Garg; Julio Rosenstock; Timothy S Bailey; Phillip Banks; Bruce W Bode; Thomas Danne; Jake A Kushner; Wendy S Lane; Pablo Lapuerta; Darren K McGuire; Anne L Peters; John Reed; Sangeeta Sawhney; Paul Strumph
Journal:  Diabetes Care       Date:  2018-06-24       Impact factor: 19.112

9.  Dose-dependent glycometabolic effects of sotagliflozin on type 1 diabetes over 12 weeks: The inTandem4 trial.

Authors:  Claire Baker; Suman Wason; Phillip Banks; Sangeeta Sawhney; Anna Chang; Thomas Danne; Diane Gesty-Palmer; Jake A Kushner; Darren K McGuire; Frank Mikell; Mark O'Neill; Anne L Peters; Paul Strumph
Journal:  Diabetes Obes Metab       Date:  2019-08-01       Impact factor: 6.577

10.  Effects of Sotagliflozin Combined with Intensive Insulin Therapy in Young Adults with Poorly Controlled Type 1 Diabetes: The JDRF Sotagliflozin Study.

Authors:  Bruce W Bode; Eda Cengiz; R Paul Wadwa; Phillip Banks; Thomas Danne; Jake A Kushner; Darren K McGuire; Anne L Peters; Paul Strumph; Sangeeta Sawhney
Journal:  Diabetes Technol Ther       Date:  2021-01       Impact factor: 6.118

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