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Increased Time in Range and Fewer Missed Bolus Injections After Introduction of a Smart Connected Insulin Pen

Open access

Abstract

Background: This observational study investigated whether the connected NovoPen ® 6 could influence insulin regimen management and glycemic control in people with type 1 diabetes (T1D) using a basal-bolus insulin regimen and continuous glucose monitoring in a real-world setting. Methods: Participants from 12 Swedish diabetes clinics downloaded pen data at each visit (final cohort: n = 94). Outcomes included time in range (TIR; sensor glucose 3.9–10.0 mmol/L), time in hyperglycemia (>10 mmol/L), and hypoglycemia (L1: 3.0– <3.9 mmol/L; L2: <3.0 mmol/L). Missed bolus dose (MBD) injections were meals without bolus injection within −15 and +60 min from the start of a meal. Outcomes were compared between the baseline and follow-up periods (≥5 health care professional visits). Data were analyzed from the first 14 days following each visit. For the TIR and total insulin dose analyses ( n = 94), a linear mixed model was used, and for the MBD analysis ( n = 81), a mixed Poisson model was used. Results: TIR significantly increased (+1.9 [0.8; 3.0] 95% CI h/day; P < 0.001) from baseline to follow-up period, with a corresponding reduction in time in hyperglycemia (−1.8 [−3.0; −0.6] 95% CI h/day; P = 0.003) and L2 hypoglycemia (−0.3 [−0.6; −0.1] 95% CI h/day; P = 0.005), and no change in time in L1 hypoglycemia. MBD injections decreased by 43% over the study ( P = 0.002). Change in MBD injections corresponded to a decrease from 25% to 14% based on the assumption that participants had three main meals per day. Conclusions: Our study highlights the potential benefit on glycemic control and dosing behavior when reliable insulin dose data from a connected pen contribute to insulin management in people with T1D.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a one-arm real-world study of adults with type 1 diabetes using CGM, introducing the connected NovoPen® 6 was associated with improved time in range and fewer missed bolus injections. The authors conclude connected pen data may support insulin regimen management, but the observational design cannot prove causality.

Key findings

  • Time in range increased by 1.9 h/day (95% CI 0.8; 3.0; P < 0.001), or 8.5% of the day (95% CI 3.7; 13.3; P < 0.001), from baseline to after ≥5 HCP visits.
  • Time in hyperglycemia decreased by 1.8 h/day (95% CI −3.0; −0.6; P = 0.003), and L2 hypoglycemia (<3.0 mmol/L) decreased by 0.3 h/day (95% CI −0.6; −0.1; P = 0.005); L1 hypoglycemia did not change significantly (P = 0.181).
  • Missed bolus dose injections decreased by 43% (estimated relative change −43.1%, 95% CI −60.5; −18.0; P = 0.002), from 0.74 to 0.42 daily MBD injections, corresponding to a decrease from 24.7% to 14.1% assuming three meals/day.
  • Bolus insulin dose increased by 28% (95% CI 9.4; 49.5; P = 0.002), while basal dose did not change significantly; coefficient of variation decreased by 3.8% (95% CI −6.1; −1.6; P = 0.001).

Methods

  • One-arm, prospective, observational proof-of-concept study across 12 Swedish diabetes clinics from May 2017 to April 2019; analyses used data from May 2017 to October 2018.
  • Final cohort: 94 adults with type 1 diabetes using CGM and the connected NovoPen® 6 (48 men, 46 women; mean age 40.1 years, range 18–83); MBD analysis included 81 participants with bolus pen data.
  • Outcomes compared baseline with follow-up after ≥5 HCP visits using the first 14 days after each visit and days with ≥70% CGM coverage; linear mixed models for TIR/total insulin dose and a mixed Poisson model for MBD injections, with meals detected by the GRID algorithm.

Limitations

  • The paper states this was a short, single-arm observational study, so it cannot conclude with certainty that connected pen use directly improved glycemic control; longer studies are needed to assess durability.
  • The paper states visit frequency and study duration varied by local practice, possibly causing selection bias, and many participant IDs (65%) were excluded during data cleaning; only 14 participants had TIR data at visit 5 or later, and 10 had MBD data at ≥5 visits.
  • Evident from the text: there was no control group, HbA1c was not recorded, most participants used isCGM with 15-min readings resampled from rtCGM, and the GRID algorithm was designed to detect meals containing at least 40 g carbohydrate, with undetected meals increasing significantly (25.4%, P = 0.003).

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Integrity signals

Registry

Crossref · 10.1089/dia.2019.0411

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

FIG. 1. Study design. Prebaseline was the period before study commencement where participants were already using CGM, but without concurrent use of the NovoPen® 6. CGM, continuous glucose monitoring; isCGM, intermittently scanned continuous glucose monitoring.
FIG. 1. Study design. Prebaseline was the period before study commencement where participants were already using CGM, but without concurrent use of the NovoPen® 6. CGM, continuous glucose monitoring; isCGM, intermittently scanned continuous glucose monitoring.CC BY · PubMed Central
FIG. 2. Upload of participant CGM data. Study period for each participant. A total of 94 participants are included in the TIR analysis. Blue lines indicate the period where data are available from the baseline date (blue square) to the last date with either CGM or insulin dosing data in the database. The filled blue circles indicate visits to the clinic, where data were downloaded and evaluated with the HCP. Orange lines indicate days with acceptable CGM data* within 1–14 days that are included in the primary analysis. The open blue circles are virtual uploads of CGM data that were not physical HCP visits. *CGM coverage of at least 70% per day. CGM, continuous glucose monitoring; HCP, health care professional; TIR, time in range.
FIG. 2. Upload of participant CGM data. Study period for each participant. A total of 94 participants are included in the TIR analysis. Blue lines indicate the period where data are available from the baseline date (blue square) to the last date with either CGM or insulin dosing data in the database. The filled blue circles indicate visits to the clinic, where data were downloaded and evaluated with the HCP. Orange lines indicate days with acceptable CGM data* within 1–14 days that are included in the primary analysis. The open blue circles are virtual uploads of CGM data that were not physical HCP visits. *CGM coverage of at least 70% per day. CGM, continuous glucose monitoring; HCP, health care professional; TIR, time in range.CC BY · PubMed Central
FIG. 3. Detection of missed bolus insulin doses by the GRID algorithm. Example of a day with two meals detected. The solid dark blue line represents the CGM signal and the light blue shaded areas each represent a detected meal. The gray, dashed line represents a glucose level of 7.2 mmol/L (130 mg/dL) and the gray shaded area represents a target glycemic range of 3.9–10.0 mmol/L (70–180 mg/dL). Meals are detected when the CGM signal is ≥7.2 mmol/L (≥130 mg/dL) and with rate-of-change being sufficiently high over the last two to three readings corresponding. The blue circles in the lower figure indicate bolus doses. A bolus dose within 15 min before to 60 min after a meal starts is considered “on-time,” whereas a dose outside of this time window is considered a MBD. Male patient, aged 30 at baseline. CGM, continuous glucose monitoring; GRID, Glucose Rate Increase Detector; MBD, missed bolus dose.
FIG. 3. Detection of missed bolus insulin doses by the GRID algorithm. Example of a day with two meals detected. The solid dark blue line represents the CGM signal and the light blue shaded areas each represent a detected meal. The gray, dashed line represents a glucose level of 7.2 mmol/L (130 mg/dL) and the gray shaded area represents a target glycemic range of 3.9–10.0 mmol/L (70–180 mg/dL). Meals are detected when the CGM signal is ≥7.2 mmol/L (≥130 mg/dL) and with rate-of-change being sufficiently high over the last two to three readings corresponding. The blue circles in the lower figure indicate bolus doses. A bolus dose within 15 min before to 60 min after a meal starts is considered “on-time,” whereas a dose outside of this time window is considered a MBD. Male patient, aged 30 at baseline. CGM, continuous glucose monitoring; GRID, Glucose Rate Increase Detector; MBD, missed bolus dose.CC BY · PubMed Central
FIG. 4. Mean difference in the time spent in glycemic ranges from baseline to after five HCP visits. *P < 0.05. Estimated mean difference in time spent in glycemic ranges with 95% CI. The difference is observed between baseline and ≥5 HCP visits. Baseline is the period after treatment initiation but before the first visit. Analysis is based on CGM data from a 14-day interval after each visit (≥70% coverage). Patients ≥18 years (n = 94) are included. CGM, continuous glucose monitoring; CI, confidence interval; HCP, health care professional; n, number; TIHyper, time in hyperglycemia; TIHypo L1, time in L1 hypoglycemia; TIHypo L2, time in L2 hypoglycemia; TIR, time in range.
FIG. 4. Mean difference in the time spent in glycemic ranges from baseline to after five HCP visits. *P < 0.05. Estimated mean difference in time spent in glycemic ranges with 95% CI. The difference is observed between baseline and ≥5 HCP visits. Baseline is the period after treatment initiation but before the first visit. Analysis is based on CGM data from a 14-day interval after each visit (≥70% coverage). Patients ≥18 years (n = 94) are included. CGM, continuous glucose monitoring; CI, confidence interval; HCP, health care professional; n, number; TIHyper, time in hyperglycemia; TIHypo L1, time in L1 hypoglycemia; TIHypo L2, time in L2 hypoglycemia; TIR, time in range.CC BY · PubMed Central
FIG. 5. Mean number of daily meals and dosing behaviors from baseline to after 5 HCP visits. Estimated mean number of daily meals with 95% CI. MBD are meals with missed bolus doses. “On-time” doses are meals where a bolus dose is taken. Undetected are meals that are not detected by the CGM signal, assuming an average of three meals per day. CGM, continuous glucose monitoring; CI, confidence interval; HCP, health care professional; MBD, missed bolus dose; NS, not significant.
FIG. 5. Mean number of daily meals and dosing behaviors from baseline to after 5 HCP visits. Estimated mean number of daily meals with 95% CI. MBD are meals with missed bolus doses. “On-time” doses are meals where a bolus dose is taken. Undetected are meals that are not detected by the CGM signal, assuming an average of three meals per day. CGM, continuous glucose monitoring; CI, confidence interval; HCP, health care professional; MBD, missed bolus dose; NS, not significant.CC BY · PubMed Central

Verification

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  • It may state two separate claims as one. 16
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  • The quote only partly states this claim. 1
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  • The authors state this as an assumption.

    Participants had three main meals per day.

    “based on the assumption that participants had three main meals per day.”
  • The authors state this as an assumption.

    Participants have three main meals per day on average.

    “Based on the assumption that participants have three main meals per day”
    “Assuming three meals per day on average.”
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Citations

Cites

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Research works printed but not linked: 1

  1. Norlander LM, , Anderson SA, , Levy CJ, et al.: Late and missed meal boluses with multiple daily insulin injections. Diabetes, 2018; 68(Suppl 1):A259.

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Metadata

Authors
Adolfsson, P., Hartvig, N. V., Kaas, A., Møller, J. B., & Hellman, J.
Affiliations
  • Hallands sjukhus Kungsbacka (SE)
  • Novo Nordisk (Denmark) (DK)
  • Uppsala University (SE)
Corresponding author
Adolfsson, Peter
Venue
Diabetes Technology & Therapeutics
Published
2020-10
Volume
22
Issue
10
Pages
709-718
ISSN
  • 1520-9156 (ISSN-L)
  • 1557-8593
OpenAlex
W3003592023
Cited by
139
References
41
Citations by year
2026: 21 · 2025: 29 · 2024: 20 · 2023: 23 · 2022: 21 · 2021: 17 · 2020: 8
FWCI
13.01
Type
journal article
Language
en
Open access
Locations
  • Diabetes Technology & Therapeutics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
Funders
Novo Nordisk
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Keywords
type 1 diabetes, smart insulin pens, connected insulin pens, time in range, multiple daily insulin injections, glycemic control, hypoglycemia, hyperglycemia, continuous glucose monitoring
MeSH terms
Blood Glucose, Diabetes Mellitus, Type 1, Humans, Hypoglycemic Agents, Injections, Subcutaneous, Insulin, Sweden, Blood Glucose Self-Monitoring

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