Point-Counterpoint: The Need for Do-It-Yourself (DIY) Open Source (OS) AID Systems in Type 1 Diabetes Management.

In the last decade, technology developed by people with diabetes and their loved ones has added to the options for diabetes management. One such example is that of automated insulin delivery (AID) algorithms, which were created and shared as open source by people living with type 1 diabetes (T1D) years before commercial systems were first available. Now, numerous options for commercial systems exist in some countries, yet tens of thousands of people with diabetes are still choosing Open-Source AID (OS-AID), previously called "do-it-yourself" (DIY) systems, which are non-commercial versions of these open-source AID systems. In this article, we provide point and counterpoint perspectives regarding 1) safety and efficacy; 2) regulation and support; 3) user choice and flexibility; 4) access and affordability, and 5) patient and provider education, for open source and commercial AID systems. The perspectives reflected here include that of a person living with T1D who uses and has developed OS-AID systems, a physician-researcher based in the US who conducts clinical trials to support development of commercial AID systems and supports people with diabetes using all types of AID, and an endocrinologist with T1D who uses both systems and treats people with diabetes using all types of AID.

Substantia Nigra Dopamine Neuronal Responses to Habenular Stimulation and Foot Shock Are Altered by Lesions of the Rostromedial Tegmental Nucleus.

Dopamine (DA) neurons of the substantia nigra (SN) and ventral tegmental area generally respond to aversive stimuli or the absence of expected rewards with transient inhibition of firing rates, which can be recapitulated with activation of the lateral habenula (LHb) and eliminated by lesioning the intermediating rostromedial tegmental nucleus (RMTg). However, a minority of DA neurons respond to aversive stimuli, such as foot shock, with a transient increase in firing rate, an outcome that rarely occurs with LHb stimulation. The degree to which individual neurons respond to these two stimulation modalities with the same response phenotype and the role of the RMTg is not known. Here, we record responses from single SN DA neurons to alternating activation of the LHb and foot shock in male rats. Lesions of the RMTg resulted in a shift away from inhibition to no response during both foot shock and LHb stimulation. Furthermore, lesions unmasked an excitatory response during LHb stimulation. The response correspondence within the same neuron between the two activation sources was no different from chance in sham controls, suggesting that external inputs rather than intrinsic DA neuronal properties are more important to response outcome. These findings contribute to a literature that shows a complex neurocircuitry underlies the regulation of DA activity and, by extension, behaviors related to learning, anhedonia, and cognition.

An Updated Review of Exocrine Pancreatic Insufficiency Prevalence finds EPI to be More Common in General Population than Rates of Co-Conditions.

Exocrine pancreatic insufficiency (EPI) is frequently described as underscreened, underdiagnosed, and undertreated. The treatment for EPI is pancreatic enzyme replacement therapy (PERT), which is costly, and provider confidence in prescribing may be one barrier to reducing undertreatment. The lack of interchangeability studies for prescription PERT and/or lack of efficacy studies of over-the-counter enzyme options may be another barrier. This paper reviewed the prevalence of EPI in the general population and in co-conditions. Prevalence of EPI in the general population is commonly estimated around 10-20%, and further research is needed to evaluate EPI across all age groups and to better understand in which age group EPI becomes more prevalent, as an age effect is often seen in EPI prevalence studies. EPI is perceived to be highly correlated with certain co-conditions, and the majority (~65%) of EPI literature is related to a co-condition such as cystic fibrosis, pancreatitis, post-surgery, cancer, or diabetes. It can be estimated that 85% of literature in identified co-conditions, or 56% of total EPI literature, is on rarer co-conditions which only represent <1% of EPI overall. In contrast, there is very little research and literature on EPI in the general population. The highest absolute rates of EPI with co-conditions are likely diabetes and possibly irritable bowel syndrome with diarrhea, yet they are among the least commonly researched in co-condition and EPI studies. A lack of research on EPI in the general population and in the more common co-conditions may be contributing to the rates of underdiagnosis and underscreening, as well as undertreatment for those with low fecal elastase-1 levels.

The lateral habenula integrates age and experience to promote social transitions in developing rats.

Social behavior deficits are an early-emerging marker of psychopathology and are linked with early caregiving quality. However, the infant neural substrates linking early care to social development are poorly understood. Here, we focused on the infant lateral habenula (LHb), a highly-conserved brain region at the nexus between forebrain and monoaminergic circuits. Despite its consistent links to adult psychopathology, this brain region has been understudied in development when the brain is most vulnerable to environmental impacts. In a task combining social and threat cues, suppressing LHb principal neurons had opposing effects in infants versus juveniles, suggesting the LHb promotes a developmental switch in social approach behavior under threat. We observed that early caregiving adversity (ECA) disrupts typical growth curves of LHb baseline structure and function, including volume, firing patterns, neuromodulatory receptor expression, and functional connectivity with cortical regions. Further, we observed that suppressing cortical projections to the LHb rescued social approach deficits following ECA, identifying this microcircuit as a substrate for disrupted social behavior. Together, these results identify immediate biomarkers of ECA in the LHb and highlight this region as a site of early social processing and behavior control.

People with diabetes who read their clinicians' visit notes: Behaviors and attitudes.

OBJECTIVES: To understand behaviors and attitudes of adults with diabetes who read their clinicians' visit notes. METHODS: By linking a large 2017 patient survey involving three institutions with administrative and portal use data, we identified patients with diabetes mellitus from outpatient records and examined reading behaviors related to eligible notes-initial, follow-up, history and physical, and progress notes. We analyzed patients' perceived benefits of reading notes. RESULTS: 2104 respondents had diagnoses of diabetes mellitus and had read ≥1 note in the 12-month period. Patients had an average of 8.7 eligible notes available and read 59% of them. The strongest predictor of reading more notes was having more notes available; the specialties of the authoring clinicians were not correlated with note reading rates. Patients reported understanding notes by primary care clinicians and specialists equally well; more than 90% of patients reported understanding everything or almost everything in a self-selected note. Across visit types, 73-80% of patients reported that note reading was extremely important for taking care of their health. DISCUSSION: People with diabetes want to read their clinicians' notes, are accessing them at high rates, and report understanding the notes and benefiting from reading them.

Exocrine Pancreatic Insufficiency Dosing Guidelines for Pancreatic Enzyme Replacement Therapy Vary Widely Across Disease Types.

BACKGROUND: Pancreatic enzyme replacement therapy (PERT) is the standard treatment for exocrine pancreatic insufficiency (EPI). However, many individuals are inadequately treated, with gaps in clinical dosing, guidelines, and tools to aid individual titration. METHODS: A systematic review identified research and guidelines on PERT dosing recommendations across conditions, systematically reviewing and synthesizing total PERT intake, meal/snack guidelines, and changes over time to provide an up-to-date look at the most common doses used in studies and guidelines. RESULTS: This review of 257 articles found wide variability in PERT dosing guidelines within and across conditions. Many patients with EPI are underdosed, with guidelines differing globally and by disease type, and clinician prescribing may also play a role. The most common dosing guidelines focus on starting doses at 40,000-50,000 units of lipase/meal with increases of up to two to three times this amount before pursuing additive therapies. Guidelines and studies typically focus only on fat digestion, and comparison by total daily dose shows underdosing is common. Most PERT studies are on safety and efficacy rather than optimal titration. CONCLUSION: The current guidelines for PERT in EPI demonstrate substantial variability in dosing recommendations, both within and across disease types. This variation highlights the need for further research to optimize PERT dosing and improve patient outcomes. Healthcare providers should consider individualizing PERT dosing based on nutritional status and response to therapy, ensuring regular follow-up with patients for dose titrations with consideration that most guidelines are framed as initial doses rather than upper limits.

Psychosocial Outcomes Among Users and Nonusers of Open-Source Automated Insulin Delivery Systems: Multinational Survey of Adults With Type 1 Diabetes.

BACKGROUND: Emerging research suggests that open-source automated insulin delivery (AID) may reduce diabetes burden and improve sleep quality and quality of life (QoL). However, the evidence is mostly qualitative or uses unvalidated, study-specific, single items. Validated person-reported outcome measures (PROMs) have demonstrated the benefits of other diabetes technologies. The relative lack of research investigating open-source AID using PROMs has been considered a missed opportunity. OBJECTIVE: This study aimed to examine the psychosocial outcomes of adults with type 1 diabetes using and not using open-source AID systems using a comprehensive set of validated PROMs in a real-world, multinational, cross-sectional study. METHODS: Adults with type 1 diabetes completed 8 validated measures of general emotional well-being (5-item World Health Organization Well-Being Index), sleep quality (Pittsburgh Sleep Quality Index), diabetes-specific QoL (modified DAWN Impact of Diabetes Profile), diabetes-specific positive well-being (4-item subscale of the 28-item Well-Being Questionnaire), diabetes treatment satisfaction (Diabetes Treatment Satisfaction Questionnaire), diabetes distress (20-item Problem Areas in Diabetes scale), fear of hypoglycemia (short form of the Hypoglycemia Fear Survey II), and a measure of the impact of COVID-19 on QoL. Independent groups 2-tailed t tests and Mann-Whitney U tests compared PROM scores between adults with type 1 diabetes using and not using open-source AID. An analysis of covariance was used to adjust for potentially confounding variables, including all sociodemographic and clinical characteristics that differed by use of open-source AID. RESULTS: In total, 592 participants were eligible (attempting at least 1 questionnaire), including 451 using open-source AID (mean age 43, SD 13 years; n=189, 41.9% women) and 141 nonusers (mean age 40, SD 13 years; n=90, 63.8% women). Adults using open-source AID reported significantly better general emotional well-being and subjective sleep quality, as well as better diabetes-specific QoL, positive well-being, and treatment satisfaction. They also reported significantly less diabetes distress, fear of hypoglycemia, and perceived less impact of the COVID-19 pandemic on their QoL. All were medium-to-large effects (Cohen d=0.5-1.5). The differences between groups remained significant after adjusting for sociodemographic and clinical characteristics. CONCLUSIONS: Adults with type 1 diabetes using open-source AID report significantly better psychosocial outcomes than those not using these systems, after adjusting for sociodemographic and clinical characteristics. Using validated, quantitative measures, this real-world study corroborates the beneficial psychosocial outcomes described previously in qualitative studies or using unvalidated study-specific items.

Glucose Variability Analysis in Two Large-Scale and Real-World Data Sets of Open-Source Automated Insulin Delivery Systems.

BACKGROUND: Open-source automated insulin delivery (OS-AID) systems combine commercially available insulin pumps and continuous glucose monitors with open-source algorithms to automate insulin dosing for people with insulin-requiring diabetes. Two data sets (OPEN and the OpenAPS Data Commons) contain anonymized OS-AID user data. METHODS: We assessed glycemic variability (GV) outcomes in the OPEN data set and characterized it alongside a comparison to the n = 122 version of the OpenAPS Data Commons. Glucose data are analyzed using an unsupervised machine learning algorithm for clustering, and GV metrics are quantified using statistical tests for distribution comparison. Demographic data are also analyzed quantitatively. RESULTS: The n = 75 OPEN data set contains 36 827 days worth of data. Mean TIR is 82.08% (TOR < 70: 3.66%; TOR > 180: 14.3%). LBGI (P < .05) differs by gender whereas HBGI distributions are similar (P > .05). GV metrics (except TOR < 70, LBGI) show a statistically significant difference (P < .05) between data sets. CONCLUSIONS: Both the OPEN and OpenAPS Data Commons data sets show TOR < 70, TIR, and TOR > 180 within recommended goals, adding additional evidence of real-world efficacy of OS-AID. Future research should evaluate in more detail potential data set differences and relationships between individual patterns of user behaviors and GV outcomes.

Survey of Pancreatic Enzyme Replacement Therapy Dosing Experiences in Adults with Exocrine Pancreatic Insufficiency.

OBJECTIVES: Pancreatic enzyme replacement therapy (PERT) is essential for treating exocrine pancreatic insufficiency (EPI), a condition where the pancreas does not produce adequate enzymes for digestion. This study delves into the real-world experiences of individuals with EPI regarding their PERT usage. METHODS: A study was executed using a tailored survey targeting individuals with EPI. Quantitative data analysis assessed factors such as age, duration of EPI, elastase levels, choice of PERT, perceived effectiveness of titration, and the time taken for effective titration. RESULTS: The study comprised 111 participants, predominantly female (93%) and hailing from North America (79%). Of these, 36.7% had been diagnosed with EPI for 3 or more years. A significant 72% felt they were not consistently consuming adequate enzymes, with only 22% believing their intake was sufficient. There were 44 participants (42%) still in the process of adjusting their enzyme doses. In contrast, 17 participants (16%) took a few weeks, 21 (20%) a few months, 11 (10%) over six months, 10 (9%) more than a year, and 3 (3%) several years for dose adjustment. Regarding enzyme titration advice, 30 participants (29%) received vague guidance, while 22 (21%) found the advice beneficial. CONCLUSIONS: This study underscores the pressing need for enhanced PERT dosing guidance. The insights gleaned spotlight the prevalent undertreatment across the entire EPI demographic, including in those with lesser-studied co-conditions.

Contributions of the Sodium Leak Channel NALCN to Pacemaking of Medial Ventral Tegmental Area and Substantia Nigra Dopaminergic Neurons.

We tested the role of the sodium leak channel, NALCN, in pacemaking of dopaminergic neuron (DAN) subpopulations from adult male and female mice. In situ hybridization revealed NALCN RNA in all DANs, with lower abundance in medial ventral tegmental area (VTA) relative to substantia nigra pars compacta (SNc). Despite lower relative abundance of NALCN, we found that acute pharmacological blockade of NALCN in medial VTA DANs slowed pacemaking by 49.08%. We also examined the electrophysiological properties of projection-defined VTA DAN subpopulations identified by retrograde labeling. Inhibition of NALCN reduced pacemaking in DANs projecting to medial nucleus accumbens (NAc) and others projecting to lateral NAc by 70.74% and 31.98%, respectively, suggesting that NALCN is a primary driver of pacemaking in VTA DANs. In SNc DANs, potentiating NALCN by lowering extracellular calcium concentration speeded pacemaking in wildtype but not NALCN conditional knockout mice, demonstrating functional presence of NALCN. In contrast to VTA DANs, however, pacemaking in SNc DANs was unaffected by inhibition of NALCN. Instead, we found that inhibition of NALCN increased the gain of frequency-current plots at firing frequencies slower than spontaneous firing. Similarly, inhibition of the hyperpolarization-activated cyclic nucleotide-gated (HCN) conductance increased gain but had little effect on pacemaking. Interestingly, simultaneous inhibition of NALCN and HCN resulted in significant reduction in pacemaker rate. Thus, we found NALCN makes substantial contributions to driving pacemaking in VTA DAN subpopulations. In SNc DANs, NALCN is not critical for pacemaking but inhibition of NALCN makes cells more sensitive to hyperpolarizing stimuli.SIGNIFICANCE STATEMENT Pacemaking in midbrain dopaminergic neurons (DAN) relies on multiple subthreshold conductances, including a sodium leak. Whether the sodium leak channel, NALCN, contributes to pacemaking in DANs located in the VTA and the SNc has not yet been determined. Using electrophysiology and pharmacology, we show that NALCN plays a prominent role in driving pacemaking in projection-defined VTA DAN subpopulations. By contrast, pacemaking in SNc neurons does not rely on NALCN. Instead, the presence of NALCN regulates the excitability of SNc DANs by reducing the gain of the neuron's response to inhibitory stimuli. Together, these findings will inform future efforts to obtain DAN subpopulation-specific treatments for use in neuropsychiatric disorders.

A Systematic Review of Exocrine Pancreatic Insufficiency Prevalence and Treatment in Type 1 and Type 2 Diabetes.

Type 1 diabetes and type 2 diabetes have high rates of associated exocrine pancreatic insufficiency (EPI). This review evaluated the current evidence on prevalence and treatment of EPI in type 1 and type 2 diabetes and compared general population prevalence rates of EPI and prevalence of other common gastrointestinal conditions such as celiac disease and gastroparesis based on within-diabetes rates of common gastrointestinal (GI) conditions. Prevalence of EPI in type 1 diabetes ranges from 14% to 77.5% (median 33%), while EPI in type 2 diabetes ranges from 16.8% to 49.2% (median 29%), and where type of diabetes is not specified in studies, ranges from 5.4% to 77%. In studies with control groups of the general population, prevalence of EPI overall in those without diabetes ranged from 4.4% to 18%, median 13%, which is comparable with other estimated general population prevalence rates of EPI (10%-20%). Cumulatively, this suggests there may be significant numbers of people with diabetes with EPI who are undiagnosed. People with diabetes (both type 1 and type 2) who present with gastrointestinal symptoms, such as steatorrhea or changes in stool, bloating, and/or abdominal pain, should be screened for EPI. Both diabetes specialists and gastroenterologists and primary care providers should be aware of the high rates of prevalence of diabetes and EPI and recommend fecal elastase-1 screening for people with diabetes and GI symptoms.

Interviews with Indigenous Maori with type 1 diabetes using open-source automated insulin delivery in the CREATE randomised trial.

Purpose: Open-source automated insulin delivery (AID) is used by thousands of people with type 1 diabetes (T1D), but has unknown generalisability to marginalised ethnic groups. This study explored experiences of Indigenous Maori participants in the CREATE trial with use of an open-source AID system to identify enablers/barriers to health equity. Methods: The CREATE randomised trial compared open-source AID (OpenAPS algorithm on an Android phone with a Bluetooth-connected pump) to sensor-augmented pump therapy. Kaupapa Maori Research methodology was used in this sub-study. Ten semi-structured interviews with Maori participants (5 children, 5 adults) and whanau (extended family) were completed. Interviews were recorded and transcribed, and data were analysed thematically. NVivo was used for descriptive and pattern coding. Results: Enablers/barriers to equity aligned with four themes: access (to diabetes technologies), training/support, operation (of open-source AID), and outcomes. Participants described a sense of empowerment, and improved quality of life, wellbeing, and glycaemia. Parents felt reassured by the system's ability to control glucose, and children were granted greater independence. Participants were able to use the open-source AID system with ease to suit whanau needs, and technical problems were manageable with healthcare professional support. All participants identified structures in the health system precluding equitable utilisation of diabetes technologies for Maori. Conclusion: Maori experienced open-source AID positively, and aspired to use this therapy; however, structural and socio-economic barriers to equity were identified. This research proposes strength-based solutions which should be considered in the redesign of diabetes services to improve health outcomes for Maori with T1D.Trial Registration: The CREATE trial, encompassing this qualitative sub-study, was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12620000034932p) on the 20th January 2020. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01215-3.

Long-Term Glucose Forecasting for Open-Source Automated Insulin Delivery Systems: A Machine Learning Study with Real-World Variability Analysis.

Glucose forecasting serves as a backbone for several healthcare applications, including real-time insulin dosing in people with diabetes and physical activity optimization. This paper presents a study on the use of machine learning (ML) and deep learning (DL) methods for predicting glucose variability (GV) in individuals with open-source automated insulin delivery systems (AID). A three-stage experimental framework is employed in this work to systematically implement and evaluate ML/DL methods on a large-scale diabetes dataset collected from individuals with open-source AID. The first stage involves data collection, the second stage involves data preparation and exploratory analysis, and the third stage involves developing, fine-tuning, and evaluating ML/DL models. The performance and resource costs of the models are evaluated alongside relative and proportional errors for 17 GV metrics. Evaluation of fine-tuned ML/DL models shows considerable accuracy in glucose forecasting and variability analysis up to 48 h in advance. The average MAE ranges from 2.50 mg/dL for long short-term memory models (LSTM) to 4.94 mg/dL for autoregressive integrated moving average (ARIMA) models, and the RMSE ranges from 3.7 mg/dL for LSTM to 7.67 mg/dL for ARIMA. Model execution time is proportional to the amount of data used for training, with long short-term memory models having the lowest execution time but the highest memory consumption compared to other models. This work successfully incorporates the use of appropriate programming frameworks, concurrency-enhancing tools, and resource and storage cost estimators to encourage the sustainable use of ML/DL in real-world AID systems.

Extended Use of an Open-Source Automated Insulin Delivery System in Children and Adults with Type 1 Diabetes: The 24-Week Continuation Phase Following the CREATE Randomized Controlled Trial.

Aim: To assess long-term efficacy and safety of open-source automated insulin delivery (AID) in children and adults (7-70 years) with type 1 diabetes. Methods: Both arms of a 24-week randomized controlled trial comparing open-source AID (OpenAPS algorithm within a modified version of AndroidAPS, preproduction DANA-i™ insulin pump, Dexcom G6 continuous glucose monitor) with sensor-augmented pump therapy (SAPT), entered a 24-week continuation phase where the SAPT arm (termed SAPT-AID) crossed over to join the open-source AID arm (termed AID-AID). Most participants (69/94) used a preproduction YpsoPump® insulin pump during the continuation phase. Analyses incorporated all 52 weeks of data, and combined between-group and within-subject differences to calculate an overall "treatment effect" of AID versus SAPT. Results: Mean time in range (TIR; 3.9-10 mmol/L [70-180 mg/dL]) was 12.2% higher with AID than SAPT (95% confidence interval [CI] 10.4 to 14.1; P < 0.001). TIR was 56.9% (95% CI 54.2 to 59.6) with SAPT and 69.1% (95% CI 67.1 to 71.1) with AID. The treatment effect did not differ by age (P = 0.39) or insulin pump type (P = 0.37). HbA1c was 5.1 mmol/mol lower [0.5%] with AID (95% CI -6.6 to -3.6; P < 0.001). There were no episodes of diabetic ketoacidosis or severe hypoglycemia with either treatment over the 48 weeks. Six participants (all in SAPT-AID) withdrew: three with hardware issues, two preferred SAPT, and one with infusion-site skin irritation. Conclusion: Further evaluation of the community derived automated insulin delivery (CREATE) trial to 48 weeks confirms that open-source AID is efficacious and safe with different insulin pumps, and demonstrates sustained glycemic improvements without additional safety concerns.

Barriers to uptake of Open-Source automated insulin delivery Systems: Analysis of socioeconomic factors and perceived challenges of adults with type 1 diabetes from the OPEN survey.

AIMS: Social and technical trends are empowering people with diabetes to co-create or self-develop medical devices and treatments to address their unmet healthcare needs, for example, open-source automated insulin delivery (AID) systems. This study aims to investigate the perceived barriers towards adoption and maintaining of open-source AID systems. METHODS: This is a multinational study based on a cross-sectional, retrospective web-based survey of non-users of open-source AID. Participants (n = 129) with type 1 diabetes from 31 countries were recruited online to elicit their perceived barriers towards building and maintaining of an open-source AID system. RESULTS: Sourcing the necessary components, lack of confidence in one's own technology knowledge and skills, perceived time and energy required to build a system, and fear of losing healthcare provider support appear to be major barriers towards the uptake of open-source AID. CONCLUSIONS: This study identified a range of structural and individual-level barriers to uptake of open-source AID. Some of these individual-level barriers may be overcome over time through the peer support of the DIY online community as well as greater acceptance of open-source innovation among healthcare professionals. The findings have important implications for understanding the possible wider diffusion of open-source diabetes technology solutions in the future.