Incorrect Insulin Administration: A Problem That Warrants Attention

Colorado Insulin Copay Cap: Lower Out-Of-Pocket Payments, Increased Prescription Volume And Days' Supply

In 2020, Colorado became the first state to cap out-of-pocket spending for insulin prescriptions, requiring fully insured health plans to cap out-of-pocket spending at $100 for a thirty-day supply. We provide the first evidence on the association of Colorado's Insulin Affordability Program with patient out-of-pocket spending, the amounts paid by plans per insulin prescription, and prescription filling. Using statewide claims data from the period 2018-21, we focused on the first two years that the copay cap law was in effect. We found that Colorado's Insulin Affordability Program was associated with significant reductions in out-of-pocket spending for insulin prescriptions, with the mean out-of-pocket payment per thirty-day supply falling nearly in half (from $62.59 to $35.64). Average plan payments increased slightly more ($31.39) than the decrease in out-of-pocket spending, as the total amount paid per prescription increased by about 1 percent. The average insulin user realized annual savings of $184, while the mean number of fills and the mean days' supply per year increased by 4.2 percent and 11.4 percent, respectively.

Assessing the Revised Safer Dx Instrument® in the understanding of ambulatory system design changes for type 1 diabetes and autism spectrum disorder in pediatrics

OBJECTIVES

We sought within an ambulatory safety study to understand if the Revised Safer Dx instrument may be helpful in identification of diagnostic missed opportunities in care of children with type 1 diabetes (T1D) and autism spectrum disorder (ASD).

METHODS

We reviewed two months of emergency department (ED) encounters for all patients at our tertiary care site with T1D and a sample of such encounters for patients with ASD over a 15-month period, and their pre-visit communication methods to better understand opportunities to improve diagnosis. We applied the Revised Safer Dx instrument to each diagnostic journey. We chose potentially preventable ED visits for hyperglycemia, diabetic ketoacidosis, and behavioral crises, and reviewed electronic health record data over the prior three months related to the illness that resulted in the ED visit.

RESULTS

We identified 63 T1D and 27 ASD ED visits. Using the Revised Safer Dx instrument, we did not identify any potentially missed opportunities to improve diagnosis in T1D. We found two potential missed opportunities (Safer Dx overall score of 5) in ASD, related to potential for ambulatory medical management to be improved. Over this period, 40 % of T1D and 52 % of ASD patients used communication prior to the ED visit.

CONCLUSIONS

Using the Revised Safer Dx instrument, we uncommonly identified missed opportunities to improve diagnosis in patients who presented to the ED with potentially preventable complications of their chronic diseases. Future researchers should consider prospectively collected data as well as development or adaptation of tools like the Safer Dx.

Perioperative Care of Patients Using Wearable Diabetes Devices

The increasing prevalence of diabetes mellitus has been accompanied by a rapid expansion in wearable continuous glucose monitoring (CGM) devices and insulin pumps. Systems combining these components in a "closed loop," where interstitial glucose measurement guides automated insulin delivery (AID, or closed loop) based on sophisticated algorithms, are increasingly common. While these devices' efficacy in achieving near-normoglycemia is contributing to increasing usage among patients with diabetes, the management of these patients in operative and procedural environments remains understudied with limited published guidance available, particularly regarding AID systems. With their growing prevalence, practical management advice is needed for their utilization, or for the rational temporary substitution of alternative diabetes monitoring and treatments, during surgical care. CGM devices monitor interstitial glucose in real time; however, there are potential limitations to use and accuracy in the perioperative period, and, at the present time, their use should not replace regular point-of-care glucose monitoring. Avoiding perioperative removal of CGMs when possible is important, as removal of these prescribed devices can result in prolonged interruptions in CGM-informed treatments during and after procedures, particularly AID system use. Standalone insulin pumps provide continuous subcutaneous insulin delivery without automated adjustments for glucose concentrations and can be continued during some procedures. The safe intraoperative use of AID devices in their hybrid closed-loop mode (AID mode) requires the CGM component of the system to continue to communicate valid blood glucose data, and thus introduces the additional need to ensure this portion of the system is functioning appropriately to enable intraprocedural use. AID devices revert to non-AID insulin therapy modes when paired CGMs are disconnected or when the closed-loop mode is intentionally disabled. For patients using insulin pumps, we describe procedural factors that may compromise CGM, insulin pump, and AID use, necessitating a proactive transition to an alternative insulin regimen. Procedure duration and invasiveness is an important factor as longer procedures increase the risk of stress hyperglycemia, tissue malperfusion, and device malfunction. Whether insulin pumps should be continued through procedures, or substituted by alternative insulin delivery methods, is a complex decision that requires all parties to understand potential risks and contingency plans relating to patient and procedural factors. Currently available CGMs and insulin pumps are reviewed, and practical recommendations for safe glycemic management during the phases of perioperative care are provided.

Diabetes mellitus and hard braking events in older adult drivers

BACKGROUND

Diabetes mellitus (DM) can impair driving safety due to hypoglycemia, hyperglycemia, diabetic peripheral neuropathy, and diabetic eye diseases. However, few studies have examined the association between DM and driving safety in older adults based on naturalistic driving data.

METHODS

Data for this study came from a multisite naturalistic driving study of drivers aged 65-79 years at baseline. Driving data for the study participants were recorded by in-vehicle recording devices for up to 44 months. We used multivariable negative binomial modeling to estimate adjusted incidence rate ratios (aIRRs) and 95% confidence intervals (CIs) of hard braking events (HBEs, defined as maneuvers with deceleration rates ≥ 0.4 g) associated with DM.

RESULTS

Of the 2856 study participants eligible for this analysis, 482 (16.9%) reported having DM at baseline, including 354 (12.4%) insulin non-users and 128 (4.5%) insulin users. The incidence rates of HBEs per 1000 miles were 1.13 for drivers without DM, 1.15 for drivers with DM not using insulin, and 1.77 for drivers with DM using insulin. Compared to drivers without DM, the risk of HBEs was 48% higher for drivers with DM using insulin (aIRR 1.48; 95% CI: 1.43, 1.53).

CONCLUSION

Older adult drivers with DM using insulin appear to be at increased proneness to vehicular crashes. Driving safety should be taken into consideration in DM care and management.

Mortality and morbidity ramifications of proposed retractions in healthcare coverage for the United States

In the absence of universal healthcare in the United States, federal programs of Medicaid and Medicare are vital to providing healthcare coverage for low-income households and elderly individuals, respectively. However, both programs are under threat, with either enacted or proposed retractions. Specifically, raising Medicare age eligibility and the addition of work requirements for Medicaid qualification have been proposed, while termination of continuous enrollment for Medicaid was recently effectuated. Here, we assess the potential impact on mortality and morbidity resulting from these policy changes. Our findings indicate that the policy change to Medicare would lead to over 17,000 additional deaths among individuals aged 65 to 67 and those to Medicaid would lead to more than 8,000 deaths among those under the age of 65. To illustrate the implications for morbidity, we further consider a case study among those people with diabetes who would be likely to lose their health insurance under the policy changes. We project that these insurance retractions would lead to the loss of coverage for over 700,000 individuals with diabetes, including more than 200,000 who rely on insulin.

You may delay, but time will not. Beta cells lost are never found again: a case for timely initiation of basal insulin in type 2 diabetes

Since its first use just over a century ago, insulin treatment has evolved dramatically, such that the molecules are physiologic in nature, and treatment can now closely resemble the natural hormone response over 24 hours. Newer, longer-acting basal insulin analogs have provided insulin therapies with improved characteristics and, therefore, ease of use, and can readily be incorporated as part of routine treatment for type 2 diabetes (T2D), but evidence suggests that insulin remains underused in people with T2D. We review the barriers to initiation of basal insulin and the education needed to address these barriers, and we provide practical pointers, supported by evidence, for primary care physicians and advanced practice providers to facilitate timely initiation of basal insulin in the people with T2D who will benefit from such treatment.

Ultrarapid Insulin Use Can Reduce Postprandial Hyperglycemia and Late Hypoglycemia, Even in Delayed Insulin Injections: A Connected Insulin Cap-Based Real-World Study

Objectives: Reaching optimal postprandial glucose dynamics is a daily challenge for people with type 1 diabetes (T1D). This study aimed to analyze the postprandial hyperglycemic excursion (PHEs) and late postprandial hypoglycemia (LPH) risk according to prandial insulin time and type. Research Design and Methods: Real-world, retrospective study in T1D using multiple daily injections (MDI) analyzing 5 h of paired continuous glucose monitoring and insulin injections data collected from the connected cap Insulclock®. Meal events were identified using the rate of change detection methodology. Postprandial glucometrics and LPH (glucose <70 mg/dL 2-5 h after a meal) were evaluated according to insulin injection time and rapid (RI) or ultrarapid analog, Fiasp® (URI), use. Results: Meal glycemic excursions (n = 2488), RI: 1211, 48.7%; UR: 1277, 51.3%, in 82 people were analyzed according to injection time around the PHE: -45 to -15 min; -15 to 0 min; and 0 to +45 min. In 63% of the meals, insulin was injected after the PHE started. Lower PHE was observed with URI versus RI (glucose peak-baseline; mg/dL; mean ± standard deviation): 106.7 ± 35.2 versus 111.2 ± 40.3 (P = 0.003), particularly in 0/+45 injections: 111.6 ± 40.2 versus 118.1 ± 43.3; (P = 0.002). One third (29.1%) of participants added a second (correction) injection. The use of URI and avoiding a second injection were independently associated with less LPH risk, even in delayed injections (0/+45), (-36%, odds ratio [OR] 0.641; confidence interval [CI]: 0.462-0.909; P = 0.012) and -56% (OR 0.641; CI: 0.462-0.909 P = 0.038), respectively. Conclusions: URI analog use as prandial insulin reduces postprandial hyper- and hypoglycemia, even in delayed injections.

Which people with diabetes are treated with a disposable, half-unit insulin pen? A real-world, retrospective, database study in Spain

INTRODUCTION

Insulin lispro 100 units/mL Jr KwikPen is the first prefilled, disposable, half-unit insulin pen that delivers 0.5-30 units in increments of 0.5 units for the treatment of patients with diabetes. This study describes the profile of patients in Spain who initiated insulin therapy with Jr KwikPen in a real-world setting.

METHODS

This retrospective, observational study based on IQVIA's electronic medical records database included patients with Type 1 (T1D) or Type 2 (T2D) diabetes who initiated therapy with Jr KwikPen between May 2018 and December 2020. Sociodemographic, clinical, and treatment characteristics at treatment initiation were analysed descriptively.

RESULTS

A total of 416 patients were included. The main characteristics of the T1D/T2D groups (N = 326/90), respectively were as follows: female sex, 61.7%/65.6%; mean age (standard deviation [SD]), 32.5 (20.7)/55.5 (16.6) years; body mass index, 20.9 (4.2)/25.2 (4.6) kg/m2 (N = 239/77); HbA1c, 7.8 (1.7)%/8.0 (1.5)% (N = 141/64); and presence of diabetes-associated comorbidities, 27.9%/64.4%. Only 32.8% of patients with T1D were < 18 years old. Among Jr KwikPen users, 12.3% (T1D/T2D, 7.7%/28.9%) were ≥ 65 years old, 17.1% patients were newly diagnosed, and 3.8% were pregnant women. The mean (SD) total insulin dose pre-index for T1D/T2D was 43.1 (23.6) and 40.7 (21.6) UI/day, respectively. The mean (SD) insulin dose at the start of Jr KwikPen use was 26.63 (16.56) and 22.58 (13.59) UI/day for T1D/T2D, respectively. Jr KwikPen was first prescribed mainly by endocrinologists (58.7%) or paediatricians (22.6%).

CONCLUSIONS

The profile of patients who initiated therapy with Jr KwikPen in routine practice was broad with many patients being adults. Most of these patients had T1D, inadequate glycemic control, and multiple associated comorbidities. These results suggest that Jr KwikPen is prescribed in patients who may benefit from finer insulin dose adjustments, namely children, adolescents, adults, older individuals, or pregnant women with T1D or T2D.

A Roadmap to an Equitable Digital Diabetes Ecosystem

OBJECTIVES

Diabetes management presents a substantial burden to individuals living with the condition and their families, health care professionals, and health care systems. Although an increasing number of digital tools are available to assist with tasks such as blood glucose monitoring and insulin dose calculation, multiple persistent barriers continue to prevent their optimal use.

METHODS

As a guide to creating an equitable connected digital diabetes ecosystem, we propose a roadmap with key milestones that need to be achieved along the way.

RESULTS

During the Coronavirus 2019 pandemic, there was an increased use of digital tools to support diabetes care, but at the same time, the pandemic also highlighted problems of inequities in access to and use of these same technologies. Based on these observations, a connected diabetes ecosystem should incorporate and optimize the use of existing treatments and technologies, integrate tasks such as glucose monitoring, data analysis, and insulin dose calculations, and lead to improved and equitable health outcomes.

CONCLUSIONS

Development of this ecosystem will require overcoming multiple obstacles, including interoperability and data security concerns. However, an integrated system would optimize existing devices, technologies, and treatments to improve outcomes.

Rasch and Confirmatory Factor Analyses of the Arabic Version of the Diabetes Self-Management Scale (DSMS): An Intercultural Approach

The current study was designed to validate the Arabic version of the Diabetes Self-Management Scale (DSMS) using Rasch and confirmatory factor analyses. This included person and item fit, separation, and reliability; rating scale functionality to evidence substantive validity; unidimensional structure to evidence structural validity; and item technical quality to evidence content validity. The study was conducted between September 2021 and March 2022. Utilizing AMOS-based confirmatory factor analysis (CFA), the study also assured the dimensionality of the DSMS. The participants were 103 diabetic patients in Saudi Arabia with a mean age of 44.72 years (standard deviation = 17.35). The analysis was performed using a trichotomous rating scale, and only one item exhibited a misfit (DSMS14). The item difficulty range was -1.0 to +1.0 logits, while the person's ability range was -3.0 to +3.0 logits. The first construct proved one Rasch dimension, which was explained and further analyzed using AMOS-CFA for the one-factor model. The DSMS was shown to be beneficial as a screening instrument for patient-reported diabetes self-management, despite several flaws that need to be addressed to improve the scale further.

Insulin pumps in children - a systematic review

BACKGROUND

Insulin pump therapy is a real breakthrough in managing diabetes Mellitus, particularly in children. It can deliver a tiny amount of insulin and decreases the need for frequent needle injections. It also helps to maintain adequate and optimal glycemic control to reduce the risk of metabolic derangements in different tissues. Children are suitable candidates for pump therapy as they need a more freestyle and proper metabolic control to ensure adequate growth and development. Therefore, children and their caregivers should have proper education and training and understand the proper use of insulin pumps to achieve successful pump therapy. The pump therapy continuously improves to enhance its performance and increase its simulation of the human pancreas. Nonetheless, there is yet a long way to reach the desired goal.

AIM

To review discusses the history of pump development, its indications, types, proper use, special conditions that may enface the children and their families while using the pump, its general care, and its advantages and disadvantages.

METHODS

We conducted comprehensive literature searches of electronic databases until June 30, 2022, related to pump therapy in children and published in the English language.

RESULTS

We included 118 articles concerned with insulin pumps, 61 were reviews, systemic reviews, and meta-analyses, 47 were primary research studies with strong design, and ten were guidelines.

CONCLUSION

The insulin pump provides fewer needles and can provide very tiny insulin doses, a convenient and more flexible way to modify the needed insulin physiologically, like the human pancreas, and can offer adequate and optimal glycemic control to reduce the risk of metabolic derangements in different tissues.

Insulin Replacement Across the Menstrual Cycle in Women with Type 1 Diabetes: An In Silico Assessment of the Need for Ad Hoc Technology

Background: Women with type 1 diabetes (T1D) of fertile age may experience fluctuations in insulin needs across the menstrual cycle. When present, these fluctuations complicate glucose management and oftentimes worsen glycemic control. In this work, an in silico analysis was conducted to assess whether current technology is sufficient to handle changes in insulin needs due to the menstrual cycle in women with T1D. Methods: Euglycemic clamp studies were performed in 16 women with T1D in the follicular phase (FP) and luteal phase (LP) of the menstrual cycle. Interphase insulin sensitivity (IS) variability observed in the data was modeled and introduced in the University of Virginia/Padova T1D Simulator. Open-loop and closed-loop insulin delivery was tested in two in silico studies, without (nominal study) and with (informed study) a priori knowledge on cycle-related IS variability informing insulin therapy. Glycemic metrics were computed on the obtained glucose traces. Results: In the pool of studied women, the glucose infusion rate area under the curve significantly decreased from FP to LP (P = 0.0107), indicating an average decrease of IS in LP. When introduced in the simulator, this pattern led to increased time spent >180 and >250 mg/dL during LP versus FP in the nominal studies, irrespective of the insulin delivery strategy. In the informed studies, glycemic metrics stabilized across the cycle. Conclusion: This work suggests that current insulin delivery technology may benefit from informing the dosing algorithm with knowledge on menstrual cycle related IS changes. Clinical validation of these results is warranted. ClinicalTrials.gov identifier: NCT02693938.

Polymeric Microneedle Arrays with Glucose-Sensing Dynamic-Covalent Bonding for Insulin Delivery

The ongoing rise in diabetes incidence necessitates improved therapeutic strategies to enable precise blood glucose control with convenient device form factors. Microneedle patches are one such device platform capable of achieving therapeutic delivery through the skin. In recent years, polymeric microneedle arrays have been reported using methods of in situ polymerization and covalent crosslinking in microneedle molds. In spite of promising results, in situ polymerization carries a risk of exposure to toxic unreacted precursors remaining in the device. Here, a polymeric microneedle patch is demonstrated that uses dynamic-covalent phenylboronic acid (PBA)-diol bonds in a dual role affording both network crosslinking and glucose sensing. By this approach, a pre-synthesized and purified polymer bearing pendant PBA motifs is combined with a multivalent diol crosslinker to prepare dynamic-covalent hydrogel networks. The ability of these dynamic hydrogels to shear-thin and self-heal enables their loading to a microneedle mold by centrifugation. Subsequent drying then yields a patch of uniformly shaped microneedles with the requisite mechanical properties to penetrate skin. Insulin release from these materials is accelerated in the presence of glucose. Moreover, short-term blood glucose control in a diabetic rat model following application of the device to the skin confirms insulin activity and bioavailability. Accordingly, dynamic-covalent crosslinking facilitates a route for fabricating microneedle arrays circumventing the toxicity concerns of in situ polymerization, offering a convenient device form factor for therapeutic insulin delivery.

Patient Perceptions of Satisfaction and Quality of Life Regarding Use of a Novel Insulin Delivery Device

Advances in insulin delivery technologies have led to the development of tubeless "patch" systems; however, these devices still involve a level of complexity. We surveyed individuals with type 1 or type 2 diabetes to explore their attitudes and satisfaction after using the CeQur Simplicity insulin patch (SIP) for 2 months. Transition to the SIP yielded significant increases in respondents' overall treatment satisfaction, less diabetes burden, and improvements in psychological well-being compared with respondents' prior insulin delivery method.

Barriers and facilitators to insulin treatment: a phenomenological inquiry

Background

Despite being the most effective treatment for advanced type 2 diabetes, the choice to start and maintain insulin therapy is based on a variety of criteria, including the patients' acceptance and willingness to adhere to it. The patients' beliefs and experiences, on the other hand, could not be revealed without a thorough exploration.

Objectives

This study investigated the barriers and facilitators to insulin treatment from the perspectives of patients with type 2 diabetes following treatment at Dessie Comprehensive Specialized Hospital, North-East Ethiopia.

Methods

A phenomenological study was conducted from July 2019 to January 2020. Twenty-four (11 males and 13 females) participants were recruited purposively. Data were collected through face-to-face in-depth interviews, lasted about 23 to 71 min, until theoretical saturation was reached, and then organized using QDA Miner Lite v2.0.9. The transcripts were thematically analyzed using narrative strategies and the themes that arose were discussed in detail.

Results

The most common facilitator of insulin treatment was its relative effectiveness, which was followed by its convenience (fewer gastrointestinal side effects, small needle size and ease of use), the concept of it is life, faith in doctors' decisions, family support, and health insurance membership. The most common impediments, on the other hand, were market failures (expensiveness and supply shortages), followed by its properties and patients' circumstances.

Conclusions

Market failures due to supply shortages and associated costs were identified to be the most significant barriers to insulin treatment, necessitating the availability of an effective pharmaceutical supply management strategy that targets on insulin supply and affordability. It is also strongly recommended that health insurance coverage be increased.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40545-022-00441-z.

Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms

Many patients with diabetes are currently being treated with insulin pumps and other diabetes devices which improve their quality of life and enable effective treatment of diabetes. These devices are connected wirelessly and thus, are vulnerable to cyber-attacks which have already been proven feasible. In this paper, we focus on two types of cyber-attacks on insulin pump systems: an overdose of insulin, which can cause hypoglycemia, and an underdose of insulin, which can cause hyperglycemia. Both of these attacks can result in a variety of complications and endanger a patient's life. Specifically, we propose a sophisticated and personalized insulin dose manipulation attack; this attack is based on a novel method of predicting the blood glucose (BG) level in response to insulin dose administration. To protect patients from the proposed sophisticated and malicious insulin dose manipulation attacks, we also present an automated machine learning based system for attack detection; the detection system is based on an advanced temporal pattern mining process, which is performed on the logs of real insulin pumps and continuous glucose monitors (CGMs). Our multivariate time-series data (MTSD) collection consists of 225,780 clinical logs, collected from real insulin pumps and CGMs of 47 patients with type I diabetes (13 adults and 34 children) from two different clinics at Soroka University Medical Center in Beer-Sheva, Israel over a four-year period. We enriched our data collection with additional relevant medical information related to the subjects. In the extensive experiments performed, we evaluated the proposed attack and detection system and examined whether: (1) it is possible to accurately predict BG levels in order to create malicious data that simulate a manipulation attack and the patient's body in response to it; (2) it is possible to automatically detect such attacks based on advanced machine learning (ML) methods that leverage temporal patterns; (3) the detection capabilities of the proposed detection system differ for insulin overdose and underdose attacks; and (4) the granularity of the learning model (general / adult vs. pediatric clinic / individual patient) affects the detection capabilities. Our results show that (a) it is possible to predict, with nearly 90% accuracy, BG levels using our proposed methods, and by doing so, enable malicious data creation for our detection system evaluation; (b) it is possible to accurately detect insulin manipulation attacks using temporal patterns mining using several ML methods, including Logistic Regression, Random Forest, TPF class model, TPF top k, and ANN algorithms; (c) it is easier to detect an overdose attack than an underdose attack in more than 25%, in terms of AUC scores; and (d) the adult vs. pediatric model outperformed models of other granularities in the detection of overdose attacks, while the general model outperformed the other models in the case of detecting underdose attacks; for both attacks, attack detection among children was found to be more challenging than among adults. In addition to its use in the evaluation of our detection system, the proposed BG prediction method has great importance in the medical domain where it can contribute to improved care of patients with diabetes.

Socio-cognitive determinants affecting insulin adherence/non-adherence in late adolescents and young adults with type 1 diabetes: a systematic review protocol

Objective

This systematic review aims to investigate the key socio-cognitive determinants associated with adherence/non-adherence to insulin treatment in late adolescents and young adults in the age range of 17–24 years with T1D.

Methods

A pre-specified search strategy will be used to search for studies in the electronic databases and citation indexes: PubMed, EMBASE, Web of Science, and PsycINFO. Two researchers will screen the title and the abstract independently, then will read and critically appraise the full text of each included study. A third independent reviewer will resolve disagreements in data extraction until consensus. Data will be extracted using the Population, Exposure, Outcomes, Study characteristics framework. Study selection will follow the updated guideline for reporting systematic reviews (PRISMA 2020) and will take place from 15 October 2021 to 1 January 2022. The methodological quality and risk of bias of the observational studies will be assessed by the JBI Critical Appraisal Checklist for Cohort and JBI Critical Appraisal Checklist for Analytical Cross Sectional Studies.

Results

A qualitative narrative synthesis will present the characteristics and the quality of studies and the outcomes of concern.

Conclusion

Based on the contemporary literature, this review will synthesize the evidence on the socio-cognitive determinants associated with adherence/non-adherence to insulin treatment in late adolescents and young adults in the age range of 17–24 years with T1D. The findings will help design patient-centered interventions to promote adherence to insulin in this age group, guide patients’ consultations and diabetes self-management education (DSME) programs.

Protocol registration: PROSPERO ID: CRD42021233074.

Insulin Therapy is Associated With Increased Myocardial Interstitial Fibrosis and Cardiomyocyte Apoptosis in a Rodent Model of Experimental Diabetes

The incidence of diabetes mellitus (DM) is rising. DM is a risk factor for developing left ventricular (LV) dysfunction and adverse cardiovascular outcomes. Insulin, commonly used to treat DM, is associated with further worsening of such outcomes. Yet, the pathophysiology of the adverse properties of insulin on the heart remains poorly defined. Therefore, the objective of this study was to determine the biological effects of insulin on the heart in DM, which we tested in vivo in a diabetic rat model and in vitro on human cardiomyocytes and fibroblasts. Male Wistar rats were divided into 3 groups: controls (n = 17), untreated diabetics (UDM, n = 15), and insulin-treated diabetics (IDM, n = 9). Diabetes was induced with Streptozotocin. Insulin pumps in IDM and saline pumps in UDM and controls were implanted for 4 weeks before tissue collection. Separately, cultures of human cardiomyocytes (AC16) and human cardiac fibroblasts (HCF) were treated with insulin to assess apoptosis and fibrosis, respectively. In rats, insulin partially rescued the DM-associated weight loss while fully restoring euglycemia. However, IDM had 2 × the rate of LV fibrosis (p < 0.0001) compared to UDM, and triple the rate of cardiomyocyte apoptosis compared to controls (p < 0.05). Similarly, in vitro, insulin triggered apoptosis in a dose-dependent fashion in AC16 cells, and it increased fibrosis and upregulated SMAD2 in HCF to levels comparable to Transforming Growth Factor Beta 1. Therefore, we conclude that insulin therapy is associated with increased cardiomyocyte apoptosis and myocardial interstitial fibrosis. Longer studies are needed to explore the long-term effects of insulin on cardiac structure and function.

Modeling of Pharmacokinetic Profiles of Insulin Aspart and Biphasic Insulin Aspart 30 / 70

The study includes modeling and simulation of insulin aspart pharmacokinetics (PK). The authors used PK data of biosimilar insulins - insulin aspart and biphasic insulin aspart 30/70 - to develop a predictive population PK model for the insulins. The model was built via Monolix software taking into account the weight-based dosing and the dose and body weight effects on the parameters. The model-based simulations were performed using the R package mlxR for various administered doses and various ratios of insulin aspart forms for a better understanding of the insulin behavior. The optimal model was a one-compartment model with a combination of zero- and first-order absorptions with absorption lag for the soluble form of insulin aspart and first-order absorption for the insulin aspart protamine suspension. The assumption of identical behavior of two insulins at the distribution and elimination phases was made. The developed PK model was fitted successfully to the experimental dataand all fitted parameters displayed a moderate coefficient of variation. The PK model allows us to predict PK profiles for various doses and formulations of insulin aspart and can be used to improve the accuracy, safety and ethics of novel clinical trials of insulin. This article is protected by copyright. All rights reserved.

Assessment of knowledge and challenges toward the use of subcutaneous self-injecting insulin among diabetes patients during COVID-19 pandemic in Saudi Arabia

Background

The COVID-19 pandemic has revolutionized the delivery of chronic health care. For diabetic patients, maintaining regular contact with healthcare providers and visiting healthcare centers are crucial to patients’ overall ability to control their glycemic status.

Objective

To assess patients’ knowledge regarding the use of insulin injection devices and the challenges these patients face in obtaining medical advice, as well as to suggest alternative solutions for addressing these challenges among diabetic patients self-administering their injections during the COVID-19 pandemic.

Methodology

An observational cross-sectional study was conducted among a sample population (N = 178) of diabetic patients attending Security Forces Hospital–Riyadh, Saudi Arabia, from which the Institutional Review Board (IRB) was granted. Data was collected using a self-administered questionnaire, which was distributed from August to September 2020. Statistical analysis was performed using the Statistical Package for Social Sciences (SPSS) program (version 21). Significant P-value = < 0.05.

Results

The majority of patients had good knowledge and practice explained with values 73.6% of total papulation. Sixty-four percent of patients with type 1 diabetes and 59% of patients with type 2 diabetes reported experiencing moderately severe challenges obtaining counseling. There was no correlation between severity of disease and knowledge levels (p-value = 0.36). The most appropriate means of obtaining counseling was determined to be conversations with healthcare providers; this strategy received an overall average score of 4.9 ± 0.4 (p-value < 0.0001).

Conclusion

Regardless of whether knowledge is high among patients with diabetes, continuous support and counseling from healthcare providers is critical. The creation of innovative approaches to facilitate communication between diabetes patients and healthcare providers is recommended for continued patient care during the COVID-19 pandemic.

Practical guidance on the initiation, titration, and switching of basal insulins: a narrative review for primary care

Many patients with type 2 diabetes will ultimately require the inclusion of basal insulin in their treatment regimen. Since most people with type 2 diabetes are managed in the community, it is important that primary care providers understand and correctly manage the initiation and titration of basal insulins, and help patients to self-manage insulin injections. Newer, long-acting basal insulins provide greater stability and flexibility than older preparations and improved delivery systems. Basal insulin is usually initiated at a conservative dose of 10 units/day or 0.1-0.2 units/kg/day, then titrated thereafter over several weeks or months, based on patients' self-measured fasting plasma glucose, to achieve an individualized target (usually 80-130 mg/dL). Through a shared decision-making process, confirmation of appropriate goals and titration methods should be established, including provisions for events that might alter scheduled titration (e.g. travel, dietary change, illness, hospitalization, etc.). Although switching between basal insulins is usually easily accomplished, pharmacokinetic and pharmacodynamic differences between formulations require clinicians to provide explicit guidance to patients. Basal insulin is effective long-term, but overbasalization (continuing to escalate dose without a meaningful reduction in fasting plasma glucose) should be avoided.Key messagesPrimary care providers often initiate basal insulin for people with type 2 diabetes.Basal insulin is recommended to be initiated at 10 units/day or 0.1-0.2 units/kg/day, and doses must be titrated to agreed fasting plasma glucose goals, usually 80-130 mg/dL. A simple rule is to gradually increase the initial dose by 1 unit per day (NPH, insulin detemir, and glargine 100 units/mL) or 2-4 units once or twice per week (NPH, insulin detemir, glargine 100 and 300 units/mL, and degludec) until FPG levels remain consistently within the target range. If warranted, switching between basal insulins can be done using simple regimens.The dose of basal insulin should be increased as required up to approximately 0.5-1.0 units/kg/day in some cases. Overbasalization (continuing to escalate dose without a meaningful reduction in fasting plasma glucose) is not recommended; rather re-evaluation of individual therapy, including consideration of more concentrated basal insulin preparations and/or short-acting prandial insulin as well as other glucose-lowering therapies, is suggested.

Missed and Mistimed Insulin Doses in People with Diabetes: A Systematic Literature Review

Background: Development of coordinated management approaches is important to facilitate self-care in people with diabetes (PwD). Gaining a better understanding of suboptimal insulin use is key in this endeavor. This review aimed, for the first time, to systematically identify and narratively summarize real-world evidence on the extent of suboptimal insulin use (missed and mistimed insulin) in PwD. Methods: A systematic literature search of MEDLINE, EMBASE, and the Cochrane Database of Systematic Reviews identified studies reporting on missed and mistimed insulin dosing. Results: From 3305 studies, 37 publications reporting on 30 unique studies that involved 58,617 PwD were included. Studies were conducted across 12 different countries and most employed cross-sectional surveys. Observations regarding missed and mistimed insulin doses were reported in 25 and 10 studies, respectively. PwD reported missing insulin doses, but rates varied due to differences in reporting methods, participant populations, and insulin regimens. The association between missed dosing and glycemic control was evaluated in ten studies in which the authors reported lower glycated hemoglobin (HbA1c) levels in PwD who did not omit insulin. The proportion of PwD reporting mistiming of insulin was in the range of 20-45%, depending on the study; this was associated with higher rates of hypoglycemia and higher HbA1c as reported by study authors. Reasons for suboptimal insulin use were multifactorial, occurring due to disrupted daily routines, social situations, and hypoglycemia avoidance. Conclusions: This review suggests that suboptimal insulin use is widespread and that PwD using insulin may still be struggling with disease management. There is an unmet need for better integrated support in managing the complexities of insulin therapy and for the development of systems (e.g. digital solutions) that empower people to take control of insulin-treated diabetes.

Conversations and Reactions Around Severe Hypoglycaemia (CRASH): Spanish results of a global survey of people with type 1 diabetes or insulin-treated type 2 diabetes and caregivers

INTRODUCTION

Information on experience/management of severe hypoglycaemic events (SHEs) among people with insulin-treated diabetes (PWD) and caregivers (CGs) providing care to PWD was sought.

MATERIALS AND METHODS

An online cross-sectional survey was conducted in eight countries.

INCLUSION CRITERIA

PWD (aged≥18 years; self-reported type 1 [T1D] or insulin-treated type 2 [T2D] diabetes; experienced ≥1 SHE [hypoglycaemia requiring external assistance] in past 3 years); CGs (layperson aged ≥18 years; caring for PWD meeting all criteria above except age [≥4 years]). This descriptive analysis provides data from Spain. SHE-associated data relate to the most recent SHE.

RESULTS

Across all groups (T1D PWD, n=106; T2D PWD, n=88, T1D CG, n=87; T2D CG, n=96), 76-89% reported that the SHE occurred at home; most common cause was eating less than planned (38-53%). Most usual action during the SHE was to intake carbohydrates (67-84%); glucagon use was low (9-36%). Discussion of the SHE with their healthcare provider (HCP) was reported by 70-75% of PWD. During the SHE, 35-69% of PWD/CGs reported feeling scared, unprepared and/or helpless.

CONCLUSIONS

Most SHEs occurred outside the healthcare setting; treatment therefore depends greatly on CGs. SHEs have a negative emotional impact on PWD/CGs, underscoring the need for HCPs to discuss SHEs with PWD/CGs, and to provide tools and strategies to prevent and effectively manage SHEs.

Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis

After decades of research on non-invasive glucose monitoring, invasive devices based on finger blood sampling are still the predominant reference for diabetic patients for accurately measuring blood glucose levels. Meanwhile, research continues improving point-of-care technology toward the development of painless and more accurate devices. Raman spectroscopy is well-known as a potentially valuable and painless approach for measuring glucose levels. However, previous Raman studies deal with glucose concentrations that are still order of magnitudes away with respect to human tissues’ physiological concentrations, or they propose enhancement methodologies either invasive or much complex to assure sufficient sensitivity in the physiological range. Instead, this study proposes an alternative non-enhanced Raman spectroscopy approach sensitive to glucose concentrations from 1 to 5 mmol/l, which correspond to the lowest physiopathological glucose level in human blood. Our findings suggest a very selective detection of glucose with respect to other typical metabolites, usually interfering with Raman spectroscopy’s glucose detection. We validate the proposed univariate sensing methodology on glucose solutions mixed with lactate and urea, the two most common molecules found in human serum with concentrations similar to glucose and similar features in the Raman spectra. Our findings clearly illustrate that reliable detection of glucose by Raman spectroscopy is feasible by exploiting the shifted peak at 1125 ± 10 cm–1 within physiopathological ranges.

Assessment of medication self-administration using artificial intelligence

Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and higher healthcare costs. These errors are particularly common when medication delivery involves devices such as inhalers or insulin pens. We present a contactless and unobtrusive artificial intelligence (AI) framework that can detect and monitor MSA errors by analyzing the wireless signals in the patient's home, without the need for physical contact. The system was developed by observing self-administration conducted by volunteers and evaluated by comparing its prediction with human annotations. Findings from this study demonstrate that our approach can automatically detect when patients use their inhalers (area under the curve (AUC) = 0.992) or insulin pens (AUC = 0.967), and assess whether patients follow the appropriate steps for using these devices (AUC = 0.952). The work shows the potential of leveraging AI-based solutions to improve medication safety with minimal overhead for patients and health professionals.

Practical Guidance on Effective Basal Insulin Titration for Primary Care Providers

IN BRIEF Basal insulin therapy is well established for glycemic control in patients with diabetes but often is not optimally implemented, leading to poor clinical outcomes and adherence. Primary care providers can and should work together with other members of the diabetes care team to allow for effective titration of basal insulin that involves patients and their caregivers. Adequate guidance and monitoring during the titration process can minimize some of the adverse effects caused by basal insulin administration, while improving glycemic control in a timely manner.

Effects of Diabetes Numeracy on Glycemic Control and Diabetes Self-Management Behaviors in Patients on Insulin Pump Therapy

INTRODUCTION

Diabetes numeracy (DN) skills are crucial in patients on insulin pump therapy. Little evidence exists regarding DN in this patient population.

METHODS

This exploratory, observational, cross-sectional study assessed the DN levels of patients on insulin pump therapy and potential relationships with glycemic control and self-management behaviors. Seventy-two patients on insulin pump therapy were recruited from one specialty endocrinology clinic. Subjects completed validated tools to measure DN [Diabetes Numeracy Test (DNT-15)] and self-management behaviors [Diabetes Self-Management Questionnaire (DSMQ)]. A general diabetes questionnaire assessed socioeconomic information and self-efficacy. Additional self-management behaviors and glycemic control data were collected from patients' medical records. Patients were categorized into two groups based on DNT-15 scores to explore potential relationships between DN scores and patient characteristics, glycemic control, and self-management behaviors.

RESULTS

Average age was 52 ± 15 years, glycosylated hemoglobin (A1C) was 7.7% ± 1.2% (61 mmol/mol), duration of diabetes was 28 ± 15 years, and duration of pump use was 3.4 ± 1.3 years. The average DNT-15 score was 87.5% ± 18%. Forty-three participants (60%) scored ≥ 90% and 29 participants (40%) scored < 90%. Eighteen percent were unable to calculate the carbohydrate content from a nutrition label. Participants with lower DNT-15 scores had higher A1C levels (8.0% vs. 7.5%, p = 0.04), were older (58.3 vs. 47.7, p = 0.003), were more likely to describe their diabetes self-care as poor (p = 0.04), and were less confident in using their pump features (p = 0.02) than those with higher DNT-15 scores.

CONCLUSION

Many patients on insulin pump therapy have deficiencies with DN which may be associated with older age and higher A1C levels.

The Injection Technique Factor: What You Don't Know or Teach Can Make a Difference

IN BRIEF To be consistently effective, insulin must be delivered into subcutaneous tissue. If insulin is delivered intramuscularly, its uptake and action become variably faster, leading to suboptimal, inconsistent glucose control. The best strategy to avoid intramuscular injection is to use the shortest needles available. Injection sites should be rotated systematically to prevent lipohypertrophy, which also substantially affects insulin uptake and action. New evidence-based insulin delivery recommendations are available, and awareness of them should lead to more effective use of insulin therapy, improved clinical outcomes, and considerable cost savings.

Evaluation of the Use of Exenatide Once-Weekly Suspension Autoinjector Among Patients With Type 2 Diabetes Mellitus and Health Care Professionals

BACKGROUND

Ease of injection is important to patients. An autoinjector was developed to deliver exenatide, a glucagon-like peptide-1 receptor agonist for type 2 diabetes mellitus. For autoinjection, 0.06-mm exenatide-containing microspheres are suspended in medium-chain triglycerides. Herein, we report design verification and usability testing of the autoinjector for exenatide once-weekly suspension (QWS) delivery.

METHODS

Exenatide QWS in a single-chamber cartridge is self-injected subcutaneously with three main steps: mix, unlock, and inject. Design verification testing used validated testing methodology. A summative validation study with simulated-use scenarios evaluated unassisted performance on critical tasks (ease of use and the injection process).

RESULTS

The autoinjector met specified design requirements for dose accuracy and torque/force. Of 104 participants enrolled (73 lay users, 16 health care professionals, and 15 pharmacists), 90 independently referred to instructions for use during testing. Users successfully achieved critical tasks on first attempt 87-100% of the time. Approximately 78% of participants successfully completed the full injection scenario, including 72% of lay users reporting visual or dexterity impairments. Initial use errors on critical tasks included not mixing well (n = 12), not removing needle cap (n = 8), and not holding needle to the skin for complete injection (n = 5). Untrained injection-naïve and trained injection-experienced lay users made the fewest errors (7% and 3%, respectively). Trained and untrained participants took 2:33 and 5:03 minutes, respectively, to complete a weekly injection.

CONCLUSIONS

Users with a range of injection experience can rapidly learn to administer exenatide QWS autoinjector correctly, thus minimizing patient effort to manage their diabetes with injectable therapy.

Laboratory and Benchtop Performance of a Mealtime Insulin-Delivery System

BACKGROUND

A basal bolus insulin regimen requires multiple daily insulin injections, which might discourage patient adherence. As a potential solution, a mealtime insulin-delivery system-a 3-day wearable bolus-only patch-was designed to manually administer mealtime insulin discreetly by actuating buttons through clothing, without the need for multiple needle sticks.

METHOD

Extensive functional testing of the patch included dose accuracy (from initial fill of the device to empty), pressure-vacuum leak testing, last-dose lockout and occlusion detection (safety alert features that lock the dosing buttons when no insulin is delivered), assessments of insulin drug stability, toxicological risk (including chemical testing), and system biocompatibility.

RESULTS

Dosing accuracy was 2 units ±10% (with U-100 insulin) over a range of environmental conditions, with ≥95% reliability and confidence. The fluid seal performance and the safety alert features performed with ≥95% reliability and ≥95% confidence. The system met acceptable standards for insulin (U-100 lispro and aspart) stability for its intended 3-day use, in addition to the operational requirements. The toxicological risk assessment and demonstrated biocompatibility suggested that the patch is safe for human use.

CONCLUSIONS

Benchtop performance showed that the bolus-only patch is a safe, accurate, and reliable device for mealtime insulin delivery.

Self-care competence in the administration of insulin in older people aged 70 or over1

Objective:

to analyze the self-care competence in the administration of insulin performed by older people aged 70 or over.

Method:

cross-sectional study carried out with 148 older people aged 70 or over, who performed self-administration of insulin. Data collection was carried out using a structured questionnaire and an adapted guide for the application of the Scale to Identify Self-Care Competence of Patients with Diabetes, at the participants’ home. Data analysis included descriptive and inferential statistical tests, with forward logistic regression.

Results:

the prevalence of self-care competence in the administration of insulin was 35.1%. Handwashing error was the most frequent in self-administration of insulin. Self-care competence was negatively associated with retirees and positively associated with senior patients who performed capillary blood glucose monitoring and skin pinching during insulin application.

Conclusion:

there was low self-care competence and it was associated with both the sociodemographic and the clinical characteristics with regard to self-application of insulin by the older people.

Insulin (Technique) Induced Hypoglycaemia

The most common side effect of insulin therapy is hypoglycaemia apart from weight gain. It occurs commonly due to insulin overdose, faulty injection site, technique and meal-insulin mismatch. In lean individuals even the needle size can be a contributing factor to hypoglycaemia. Here we report a case who presented with recurrent episodes of hypoglycaemia due to a combination of wrong insulin site, technique as well as needle size. On examination, he was found to have spotted dermopathy on his forearms (insulin injection site) which was consistent with intradermal insulin administration. Recently, insulin infusion through intradermal route has been found to reach the systemic circulation faster than even the conventional subcutaneous injection. This case emphasizes that hypoglycaemias can occur due to less common causes. It warrants a good clinical examination and patient education.