New digital health technologies for insulin initiation and optimization for people with type 2 diabetes

Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance

BACKGROUND

Real-world studies of people with type 2 diabetes (T2D) have shown insufficient dose adjustment during basal insulin titration in clinical practice leading to suboptimal treatment. Thus, 60% of people with T2D treated with insulin do not reach glycemic targets. This emphasizes a need for methods supporting efficient and individualized basal insulin titration of people with T2D. However, no systematic review of basal insulin dose guidance for people with T2D has been found.

OBJECTIVE

To provide an overview of basal insulin dose guidance methods that support titration of people with T2D and categorize these methods by characteristics, effect, and user experience.

METHODS

The review was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Studies about basal insulin dose guidance, including adults with T2D on basal insulin analogs published before September 7, 2022, were included. Joanna Briggs Institute critical appraisal checklists were applied to assess risk of bias.

RESULTS

In total, 35 studies were included, and three categories of dose guidance were identified: paper-based titration algorithms, telehealth solutions, and mathematical models. Heterogeneous reporting of glycemic outcomes challenged comparison of effect between the three categories. Few studies assessed user experience.

CONCLUSIONS

Studies mainly used titration algorithms to titrate basal insulin as telehealth or in paper format, except for studies using mathematical models. A numerically larger proportion of participants seemed to reach target using telehealth solutions compared to paper-based titration algorithms. Exploring capabilities of machine learning may provide insights that could pioneer future research while focusing on holistic development.

Application of the integrated data platform combined with dietary management for adults with diabetes: A prospective randomized controlled trial

AIMS

To investigate the efficacy of the integrated data platform of cloud hospital combined with dietary management for adults with type 2 diabetes.

MATERIALS AND METHODS

We conducted a randomized controlled clinical trial. One hundred eighty patients with type 2 diabetes were randomly allocated into a control group (Group A) and an experimental group (Group B). Routine standard diabetes care was applied to the patients in Group A. The integrated data platform with dietary management was applied to Group B. Individualized diabetes education videos were sent to the patients through the platform. The primary endpoint was the change in HbA1c and change in body weight from baseline to Week 12 during the follow-up.

RESULTS

At Week 12, HbA1c was 7.4 ± 0.7%, 6.9 ± 0.9% in Groups A and B, P < 0.01. The rate of fasting blood glucose <7 mmol/L, and glycosylated hemoglobin <7% was higher in Group B than in Group A. At Week 12, there was a significant weight loss and body mass index decrease in the overweight or obese patients of the experimental group. Those overweight or obese patients in the experimental group utilizing the appetite suppressant semaglutide achieved the most significant weight loss, with a 13.4% reduction after 12 weeks.

CONCLUSIONS

The integrated data platform combined with personalized diabetes education video delivery was verified to be a more effective management mode for diabetes. For overweight or obese adults with diabetes, the use of semaglutide in conjunction with dietary management and the integrated data platform led to greater weight loss.

Ratiometric electrochemical aptasensor with strand displacement for insulin detection in blood samples

BACKGROUND

Diabetes patients suffer either from insulin deficiency or resistance with a high risk of severe long-term complications, thus the quantitative assessment of insulin level is highly desired for diabetes surveillance and management. Utilizing insulin-capturing aptamers may facilitate the development of affordable biosensors however, their rigid G-quadruplex structures impair conformational changes of the aptamers and diminish the sensor signals.

RESULTS

Here we report on a ratiometric, electrochemical insulin aptasensor which is achieved by hybridization of an insulin-capturing aptamer and a partially complementary ssDNA to break the rigid G-quadruplex structures. To improve the durability of the aptasensor, the capturing aptamer was immobilized on gold electrodes via two dithiol-phosphoramidite functional groups while methoxy-polyethylene glycol thiol was used as a blocking molecule. The exposure of the sensor to insulin-containing solutions induced the dissociation of the hybridized DNA accompanied by a conformational rearrangement of the capturing aptamer back into a G-quadruplex structure. The reliability of sensor readout was improved by the adoption of an AND logic gate utilizing anthraquinone and methylene blue redox probes associated to the aptamer and complementary strand, respectively. Our aptasensor possessed an improved detection limit of 0.15 nM in comparison to aptasensors without strand displacement.

SIGNIFICANCE

The sensor was adapted for detection in real blood and is ready for future PoC diagnostics. The capability of monitoring the insulin level in an affordably manner can improve the treatment for an increasing number of patients in developed and developing nations. The utilization of low-cost and versatile aptamer receptors together with the engineering of ratiometric electrochemical signal recording has the potential to considerably advance the current insulin detection technology toward multi-analyte diabetes sensors.

N-of-1 health optimization: Digital monitoring of biomarker dynamics to gamify adherence to metabolic switching

The digital health field is experiencing substantial growth due to its potential for sustained and longitudinal deployment. In turn, this may drive improved monitoring and intervention as catalysts for behavioral change compared to traditional point-of-care practices. In particular, the increase in incidence of population health challenges such as diabetes, heart disease, fatty liver disease, and other disorders coupled with rising healthcare costs have emphasized the importance of exploring technical, economics, and implementation considerations, among others in the decentralization of health and healthcare innovations. Both healthy individuals and patients stand to benefit from continued technical advances and studies in these domains. To address these points, this study reports a N-of-1 study comprised of sustained regimens of intermittent fasting, fitness (strength and cardiovascular training), and high protein, low carbohydrate diet and parallel monitoring. These regimens were paired with serial blood ketone, blood glucose (wearable and finger stick) and blood pressure readings, as well as body weight measurements using a collection of devices. Collectively this suite of platforms and approaches were used to monitor metabolic switching from glucose to ketones as energy sources-a process associated with potential cardio- and neuroprotective functions. In addition to longitudinal biomarker dynamics, this work discusses user perspectives on the potential role of harnessing digital devices to these dynamics as potential gamification factors, as well as considerations for the role of biomarker monitoring in health regimen development, user stratification, and potentially informing downstream population-scale studies to address metabolic disease, healthy aging and longevity, among other indications.

Real-World Effectiveness of the Gla-300 + Cap + App Program in Adult Users Living with Type 2 Diabetes in Taiwan

INTRODUCTION

Health2Sync (H2S) is a digital health technology platform that provides coaching and titration support to patients with diabetes. The Mallya cap converts a conventional insulin pen into a smart connected device that can automatically synchronize dose values and associated timestamps (upon injection) to the H2S platform. This single-arm real-world study evaluated the effectiveness of insulin glargine 300 U/mL (Gla-300) combined with H2S and Mallya cap (Gla-300 + Cap + App program) on clinical outcomes among users with type 2 diabetes (T2D) in Taiwan.

METHODS

Adults (aged ≥ 20 years) with T2D who were registered H2S users and initiated Mallya cap for a new/existing Gla-300 regimen (identification period May 1, 2021-May 31, 2022) were included in this retrospective cohort study. Follow-up data from H2S were collected for 90 days. Glycated hemoglobin (HbA1c) change (baseline to follow-up) and HbA1c goal attainment were primary outcomes. Hypoglycemia incidence and usage metrics of Mallya cap were secondary outcomes.

RESULTS

Of 83 participants, 38.6% were new Gla-300 users. HbA1c was reduced in both new (- 2.4 [2.7] %, - 26.2 [29.5] mmol/mol) and previous Gla-300 users (- 0.5 [1.6] %, - 5.5 [17.5] mmol/mol). Reduction in HbA1c was significant (p < 0.05) in both groups. At follow-up, 43.4% of users had a reduction of > 0.5%. Mean HbA1c reductions increased numerically with higher baseline HbA1c and with longer duration of Mallya cap usage.

CONCLUSIONS

Use of digital technology within a connected ecosystem such as Gla-300 + Cap + App program could help people with type 2 diabetes to improve their glycemic condition.

The Basis for Weekly Insulin Therapy: Evolving Evidence With Insulin Icodec and Insulin Efsitora Alfa

Basal insulin continues to be a vital part of therapy for many people with diabetes. First attempts to prolong the duration of insulin formulations were through the development of suspensions that required homogenization prior to injection. These insulins, which required once- or twice-daily injections, introduced wide variations in insulin exposure contributing to unpredictable effects on glycemia. Advances over the last 2 decades have resulted in long-acting, soluble basal insulin analogues with prolonged and less variable pharmacokinetic exposure, improving their efficacy and safety, notably by reducing nocturnal hypoglycemia. However, adherence and persistence with once-daily basal insulin treatment remains low for many reasons including hypoglycemia concerns and treatment burden. A soluble basal insulin with a longer and flatter exposure profile could reduce pharmacodynamic variability, potentially reducing hypoglycemia, have similar efficacy to once-daily basal insulins, simplify dosing regimens, and improve treatment adherence. Insulin icodec (Novo Nordisk) and insulin efsitora alfa (basal insulin Fc [BIF], Eli Lilly and Company) are 2 such insulins designed for once-weekly administration, which have the potential to provide a further advance in basal insulin replacement. Icodec and efsitora phase 2 clinical trials, as well as data from the phase 3 icodec program indicate that once-weekly insulins provide comparable glycemic control to once-daily analogues, with a similar risk of hypoglycemia. This manuscript details the technology used in the development of once-weekly basal insulins. It highlights the clinical rationale and potential benefits of these weekly insulins while also discussing the limitations and challenges these molecules could pose in clinical practice.

Evaluating Patient and Provider Preferences for a Once-Weekly Basal Insulin in Adults with Type 2 Diabetes

Purpose

The global burden of disease of type 2 diabetes (T2D) is significant, and insulin currently plays a central role in T2D management. This study sought to assess the preferences of patients with T2D and healthcare providers (HCPs) involved in T2D care regarding a hypothetical once-weekly basal insulin in comparison to current basal insulin options.

Patients and Methods

In a survey-based study in the United States that included a discrete choice experiment (DCE), patients with T2D (insulin naïve and current insulin users) and providers who treat individuals with T2D were asked to evaluate current basal insulins and identify attributes of importance regarding a hypothetical once-weekly basal insulin. A regression analysis was conducted to identify drivers of preference by relevant demographics, attitudes, and behaviors.

Results

Most respondents (91% of patients with T2D and 89% of HCPs in the base case scenario) would choose a once-weekly basal insulin product over another type of basal insulin. Both patients with T2D and HCPs rated insulin type and delivery method to be attributes of highest importance in the discrete choice exercise. Current basal insulin users ("insulin experienced") reported higher levels of confidence that a once-weekly insulin would help them to achieve their desired blood sugar levels compared to their current basal insulin (5.7 vs 5.2 on a 7-point Likert scale). Most insulin-experienced respondents (88%) were likely to inquire about once-weekly basal insulin, and most HCPs (85%) indicated willingness to educate patients on management of their T2D using a once-weekly basal insulin.

Conclusion

Discussing preferences for T2D medication management is important for patients and HCPs to ensure treatments are offered for patients based on their preferences. This study showed that patient and provider preferences are similar towards a once-weekly basal insulin over current basal insulin preparations.

A probabilistic computation framework to estimate the dawn phenomenon in type 2 diabetes using continuous glucose monitoring

In type 2 diabetes (T2D), the dawn phenomenon is an overnight glucose rise recognized to contribute to overall glycemia and is a potential target for therapeutic intervention. Existing CGM-based approaches do not account for sensor error, which can mask the true extent of the dawn phenomenon. To address this challenge, we developed a probabilistic framework that incorporates sensor error to assign a probability to the occurrence of dawn phenomenon. In contrast, the current approaches label glucose fluctuations as dawn phenomena as a binary yes/no. We compared the proposed probabilistic model with a standard binary model on CGM data from 173 participants (71% female, 87% Hispanic/Latino, 54 ± 12 years, with either a diagnosis of T2D for six months or with an elevated risk of T2D) stratified by HbA1c levels into normal but at risk for T2D, with pre-T2D, or with non-insulin-treated T2D. The probabilistic model revealed a higher dawn phenomenon frequency in T2D [49% (95% CI 37-63%)] compared to pre-T2D [36% (95% CI 31-48%), p = 0.01] and at-risk participants [34% (95% CI 27-39%), p < 0.0001]. While these trends were also found using the binary approach, the probabilistic model identified significantly greater dawn phenomenon frequency than the traditional binary model across all three HbA1c sub-groups (p < 0.0001), indicating its potential to detect the dawn phenomenon earlier across diabetes risk categories.

Use of smartphone application versus written titration charts for basal insulin titration in adults with type 2 diabetes and suboptimal glycaemic control (My Dose Coach): multicentre, open-label, parallel, randomised controlled trial

Background

The majority of people with type 2 diabetes who require insulin therapy use only basal insulin in combination with other anti-diabetic agents. We tested whether using a smartphone application to titrate insulin could improve glycaemic control in people with type 2 diabetes who use basal insulin.

Methods

This was a 12-week, multicentre, open-label, parallel, randomised controlled trial conducted in 36 diabetes practices in Germany. Eligible participants had type 2 diabetes, a BMI ≥25.0 kg/m2, were on basal insulin therapy or were initiating basal insulin therapy, and had suboptimal glycaemic control (HbA1c >7.5%; 58.5 mmol/mol). Block randomisation with 1:1 allocation was performed centrally. Participants in the intervention group titrated their basal insulin dose using a smartphone application (My Dose Coach) for 12 weeks. Control group participants titrated their basal insulin dose according to a written titration chart. The primary outcome was the baseline-adjusted change in HbA1c at 12 weeks. The intention-to-treat analysis included all randomised participants.

Results

Between 13 July 2021 and 21 March 2022, 251 study participants were randomly assigned (control group: n = 123; intervention group: n = 128), and 236 completed the follow-up phase (control group: n = 119; intervention group: n = 117). Regarding the HbA1c a model-based adjusted between-group difference of -0.31% (95% CI: 0.01%-0.69%; p = 0.0388) in favour of the intervention group was observed. There were 30 adverse events reported: 16 in the control group, 14 in the intervention group. Of these, 15 adverse events were serious. No event was considered to be related to the investigational device.

Interpretation

Study results suggest that utilizing this digital health smartphone application for basal insulin titration may have resulted in a comparatively greater reduction in HbA1c levels among individuals with type 2 diabetes, as compared to basal insulin titration guided by a written titration schedule. No negative effect on safety outcomes was observed.

Funding

Sanofi-Aventis Deutschland GmbH.

Assessment of Patient Risk Profiles by a Male Sexual Health Direct-to-Consumer Prescription Platform: A Cross-Sectional Study

Background

Direct-to-consumer (DTC) online prescription platforms (OPP) for sexual health represent a potential paradigm shift in the diagnosis and treatment for sexual dysfunctions in the way men seek care. Knowledge of patients' risk profile using these platforms is limited.

Aim

To assess risk profiles of patients reaching out to health care professionals through their DTC.

Methods

Anonymized data originally collected between February 2021 to May 2022 by a DTC platform in the men's health care space were retrospectively analyzed. Data included the content of patient requests through a communication function, as well as the corresponding responses by the attending physician on staff. Each request was then assessed by two independent urologists and categorized by the level of the risk profile as well as the need to refer the patient to further medical evaluation.

Results

Of 585 patient requests, 531 (90.8%) were classified as low risk. In the high-risk group, 32 patients were recommended to schedule an urgent appointment at a specialist. Only three patients (0.5%) were advised to seek emergency care. The overall referral rate for both risk groups was 52.3%. The requests of 279 patients (47.7%) were assessed as digitally treatable. Almost all patients who were digitally treatable were low risk. Side effects accounted for only 9.6% of all requests in the low-risk group, compared with 46.3% in the high-risk group.

Conclusion

Overall, low-risk levels in the requests of patients using a DTC platform were reported, with almost half of them suitable to be solved digitally, whereas the other half required referral to an in-person specialist.

Device-supported automated basal insulin titration in adults with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials

Background

Technological advances make it possible to use device-supported, automated algorithms to aid basal insulin (BI) dosing titration in patients with type 2 diabetes.

Methods

A systematic review and meta-analysis of randomized controlled trials were performed to evaluate the efficacy, safety, and quality of life of automated BI titration versus conventional care. The literature in Medline, Embase, Web of Science, and the Cochrane databases from January 2000 to February 2022 were searched to identify relevant studies. Risk ratios (RRs), mean differences (MDs), and their 95% confidence intervals (CIs) were calculated using random-effect meta-analyses. Certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach.

Findings

Six of the 7 eligible studies (889 patients) were included in meta-analyses. Low- to moderate-quality evidence suggests that patients who use automated BI titration versus conventional care may have a higher probability of reaching a target of HbA_1c <7.0% (RR, 1.82 [95% CI, 1.16-2.86]); and a lower level of HbA_1c (MD, -0.25% [95% CI, -0.43 to -0.06%]). No statistically significant differences were detected between the two groups in fasting glucose results, incidences of hypoglycemia, severe or nocturnal hypoglycemia, and quality of life, with low to very low certainty for all the evidence.

Interpretation

Automated BI titration is associated with small benefits in reducing HbA_1c without increasing the risk of hypoglycemia. Future studies should explore patient attitudes and the cost-effectiveness of this approach.

Funding

Sponsored by the Chinese Geriatric Endocrine Society.