7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Shining the Spotlight on Multiple Daily Insulin Therapy: Real-World Evidence of the InPen Smart Insulin Pen

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective:

          Connected insulin pens are creating opportunities for the millions of individuals with diabetes using multiple daily injections (MDI) therapy across the globe. Continuous glucose monitoring (CGM) data from connected insulin pens are revealing gaps and opportunities to significantly improve care for this population. In this article, we report real-world findings of the InPen™ smart insulin pen paired with CGM (InPen system), used by persons with type 1 diabetes (T1D) and type 2 diabetes (T2D).

          Methods:

          A retrospective cohort analysis was conducted with the real-world data collected from the InPen system of individuals ( N = 3793 with T1D, N = 552 with T2D, and N = 808 unidentified) who used the system from January 01, 2020, to December 31, 2021. Diabetes management (e.g., missed and mistimed insulin dosing, mismatched food intake, and correction dose delivery) and glycemic outcomes were assessed.

          Results:

          In the overall and T1D populations, a dosing frequency of ≥3 doses per day and a missed dose frequency of <20% was associated with improved glycemia. In adults with T2D, missing <20% of doses was the significant factor determining improved glycemia.

          Conclusion:

          This analysis, integrating data from a smart insulin pen and CGM, provides insights into the impact of dosing behavior on glycemic outcomes and informs counseling strategies for the diabetes care team, through technologically advanced insulin management for those using MDI therapy.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: not found

          State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016–2018

          To provide a snapshot of the profile of adults and youth with type 1 diabetes (T1D) in the United States and assessment of longitudinal changes in T1D management and clinical outcomes in the T1D Exchange registry.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            CONSENSUS STATEMENT BY THE AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY ON THE COMPREHENSIVE TYPE 2 DIABETES MANAGEMENT ALGORITHM – 2020 EXECUTIVE SUMMARY

            Abbreviations: A1C = hemoglobin A1C; AACE = American Association of Clinical Endocrinologists; ABCD = adiposity-based chronic disease; ACCORD = Action to Control Cardiovascular Risk in Diabetes; ACCORD BP = Action to Control Cardiovascular Risk in Diabetes Blood Pressure; ACE = American College of Endocrinology; ACEI = angiotensin-converting enzyme inhibitor; AGI = alpha-glucosidase inhibitor; apo B = apolipoprotein B; ARB = angiotensin II receptor blocker; ASCVD = atherosclerotic cardiovascular disease; BAS = bile acid sequestrant; BMI = body mass index; BP = blood pressure; CCB = calcium channel blocker; CGM = continuous glucose monitoring; CHD = coronary heart disease; CKD = chronic kidney disease; DKA = diabetic ketoacidosis; DPP4 = dipeptidyl peptidase 4; eGFR = estimated glomerular filtration rate; EPA = eicosapentaenoic acid; ER = extended release; FDA = Food and Drug Administration; GLP1 = glucagon-like peptide 1; HDL-C = high-density-lipoprotein cholesterol; HeFH = heterozygous familial hypercholesterolemia; LDL-C = low-density-lipoprotein cholesterol; LDL-P = low-density-lipoprotein particle; Look AHEAD = Look Action for Health in Diabetes; NPH = neutral protamine Hagedorn; OSA = obstructive sleep apnea; PCSK9 = proprotein convertase subtilisin-kexin type 9 serine protease; RCT = randomized controlled trial; SU = sulfonylurea; SGLT2 = sodium-glucose cotransporter 2; SMBG = self-monitoring of blood glucose; T2D = type 2 diabetes; TZD = thiazolidinedione
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Association of numeracy and diabetes control.

              The influence of a patient's quantitative skills (numeracy) on the management of diabetes is only partially understood. To examine the association between diabetes-related numeracy and glycemic control and other diabetes measurements. Cross-sectional survey. 2 primary care and 2 diabetes clinics at 3 medical centers. 398 adult patients with type 1 or type 2 diabetes mellitus enrolled between March 2004 and November 2005. Health literacy, general numeracy, and diabetes-related numeracy assessed by using the Rapid Estimate of Adult Literacy in Medicine; the Wide Range Achievement Test, 3rd edition; and the Diabetes Numeracy Test (DNT), respectively. The primary outcome was most recent level of hemoglobin A1c. Additional measurements were diabetes knowledge, perceived self-efficacy of diabetes self-management, and self-management behaviors. The median DNT score was 65% (interquartile range, 42% to 81%). Common errors included misinterpreting glucose meter readings and miscalculating carbohydrate intake and medication dosages. Lower DNT scores were associated with older age, nonwhite race, fewer years of education, lower reported income, lower literacy and general numeracy skills, lower perceived self-efficacy, and selected self-management behaviors. Patients scoring in the lowest DNT quartile (score <42%) had a median hemoglobin A1c level of 7.6% (interquartile range, 6.5% to 9.0%) compared with 7.1% (interquartile range, 6.3% to 8.1%) in those scoring in the highest quartile (P = 0.119 for trend). A regression analysis adjusted for age, sex, race, income, and other factors found a modest association between DNT score and hemoglobin A1c level. Causality cannot be determined in this cross-sectional study, especially with its risk for unmeasured confounding variables. Poor numeracy skills were common in patients with diabetes. Low diabetes-related numeracy skills were associated with worse perceived self-efficacy, fewer self-management behaviors, and possibly poorer glycemic control.
                Bookmark

                Author and article information

                Journal
                Diabetes Technol Ther
                Diabetes Technol Ther
                dia
                Diabetes Technology & Therapeutics
                Mary Ann Liebert, Inc., publishers (140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA )
                1520-9156
                1557-8593
                January 2024
                05 January 2024
                05 January 2024
                : 26
                : 1
                : 33-39
                Affiliations
                [1]Medtronic Diabetes, Northridge, California, USA.
                Author notes

                Portions of data within this work have been presented at the Association of Diabetes Care & Education Specialists Conference, Houston, Texas (August 4–7, 2023) and submitted for presentation at the European Association for the Study of Diabetes Meeting, Hamburg, Germany (October 2–6, 2023).

                [*]Address correspondence to: Janice MacLeod, MA, RD, CDCES, FADCES, Medtronic Diabetes, 18000 Devonshire Street, Northridge, CA 91325, USA janicestauffermacleod@ 123456yahoo.com
                Author information
                https://orcid.org/0000-0002-3546-3385
                Article
                10.1089/dia.2023.0365
                10.1089/dia.2023.0365
                10794824
                37855818
                15294411-a565-44d3-9116-69cff828233f
                © Janice MacLeod, et al., 2024; Published by Mary Ann Liebert, Inc.

                This Open Access article is distributed under the terms of the Creative Commons License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

                History
                Page count
                Figures: 2, Tables: 4, References: 28, Pages: 7
                Categories
                Original Articles

                connected insulin pens,continuous glucose monitoring,precision insulin management,smart insulin pen,time in range,time below range

                Comments

                Comment on this article