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Accepted for/Published in: JMIR Formative Research

Date Submitted: Nov 17, 2024
Open Peer Review Period: Nov 19, 2024 - Jan 14, 2025
Date Accepted: Dec 29, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Web-Based, Algorithm-Guided Insulin Titration in Insulin-Treated Type 2 Diabetes: Pre-Post Intervention Study

Thiagarajan N, Tan HC, Rama Chandran S, Lee PC, Chin YA, Zeng W, Ho ETL, Carmody D, Goh SY, Bee YM

Web-Based, Algorithm-Guided Insulin Titration in Insulin-Treated Type 2 Diabetes: Pre-Post Intervention Study

JMIR Form Res 2025;9:e68914

DOI: 10.2196/68914

PMID: 39924297

PMCID: 11830485

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Internet-based algorithm-guided insulin titration system improves glycemia in people with insulin-treated type 2 diabetes

  • Nishanth Thiagarajan; 
  • Hong Chang Tan; 
  • Suresh Rama Chandran; 
  • Phong Ching Lee; 
  • Yun Ann Chin; 
  • Wanling Zeng; 
  • Emily Tse Lin Ho; 
  • David Carmody; 
  • Su-Yen Goh; 
  • Yong Mong Bee

ABSTRACT

Background:

Self-monitoring of blood glucose (SMBG) using online diabetes management platforms has shown promise in type 2 diabetes (T2D) management.

Objective:

This study aimed to assess the effect of the ALRT Telehealth Solution, an FDA-cleared online platform incorporating SMBG with algorithm-guided insulin titration recommendations, on the hemoglobin A1c (HbA1c) in insulin-treated T2D.

Methods:

Adults with T2D on twice-daily premixed insulin, HbA1c ≥7.5% (58 mmol/mol) and <10% (86 mmol/mol), and BMI ≤40 kg/m² were enrolled. They measured blood glucose twice-daily and uploaded glucometer data weekly using the ALRT mobile-phone application, which then alerted physicians with algorithm-guided insulin titration recommendations. These were communicated back to participants via the app weekly. HbA1c and fasting plasma glucose (FPG) were measured at baseline, weeks 12 and 24.

Results:

We enrolled 25 adults (44.0% female, 52.0% Chinese), mean age 58.9 years. Adherence to twice-daily SMBG regimen was 97.4%. Over 24 weeks, mean total daily insulin dose increased from 0.73 to 0.79 units/kg/day. This led to a significant reduction in HbA1c from an average of 8.6% (70 mmol/mol) to 7.4% (57 mmol/mol) and FPG from an average of 8.7 to 7.1 mmol/L (both p<0.01). Most hypoglycemia events were mild (88.5%) (3.0-3.9 mmol/L), and the prevalence of hypoglycemia (<4.0 mmol/L) at 48.0% was similar to the self-reported baseline of 44.9%. There were more hypoglycemia episodes during the final 12 weeks of the study (72) than the first 12 weeks (25).

Conclusions:

An internet-based glucose monitoring system with structured SMBG and algorithm-guided insulin titrations significantly improved glycemia in individuals with insulin-treated T2D without increasing hypoglycemia.


 Citation

Please cite as:

Thiagarajan N, Tan HC, Rama Chandran S, Lee PC, Chin YA, Zeng W, Ho ETL, Carmody D, Goh SY, Bee YM

Web-Based, Algorithm-Guided Insulin Titration in Insulin-Treated Type 2 Diabetes: Pre-Post Intervention Study

JMIR Form Res 2025;9:e68914

DOI: 10.2196/68914

PMID: 39924297

PMCID: 11830485

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