Projection of the future diabetes burden in the United States through 2060

Using continuous glucose monitoring to measure and improve quality metrics: Updates on the Healthcare Effectiveness Data and Information Set 2024 Glucose Management Indicator measure

Value-based diabetes care is a proactive approach to providing quality care to individuals with diabetes. This approach focuses on improving clinical outcomes rather than the volume of services provided. Implementation of value-based diabetes care requires an established set of standardized quality measures against which all stakeholders can assess and benchmark their performance. The National Committee for Quality Assurance recently added the Glucose Management Indicator to its Healthcare Effectiveness Data and Information Set. The Glucose Management Indicator can be used as a measure of glucose control. This article discusses the benefits of value-based care, the importance of diabetes quality measures, and how the rapidly increasing adoption of continuous glucose monitoring is impacting these measures while improving the lives of individuals with diabetes.

Systematic review of disparities in continuous glucose monitoring and insulin pump utilization in the United States: Key themes and evidentiary gaps

AIM

This study aims to provide a comprehensive overview of real-world evidence pertaining to disparities in the utilization of continuous glucose monitors (CGMs)/insulin pumps to highlight potential evidentiary gaps and discern emerging themes from the literature.

MATERIALS AND METHODS

A systematic review of published manuscripts and abstracts was conducted from: MEDLINE, EMBASE, Nursing and Allied Health, Web of Science and CINHAL. Attributes related to patients, outcomes, interventions (CGMs/pumps/both) and study type were captured. In addition, factors associated with disparities in device utilization were examined.

RESULTS

Thirty-six studies were included in the final analysis; the studies predominantly focused on people living with type 1 diabetes. Only two studies included individuals with type 2 diabetes. Almost two-thirds of the studies reported outcomes associated with disparities (e.g. glycated haemoglobin, diabetic ketoacidosis, resource utilization). Most studies highlighted disparities across race, ethnicity and insurance type. Evidentiary gaps were identified, particularly in the evidence for people with type 2 diabetes, the continuation of CGM/pump use and limited studies addressing disparities among Native Americans/American Indians.

CONCLUSION

This study reveals critical disparities in diabetes technology use across race, ethnicity and insurance type, particularly among people with type 1 diabetes. Evidentiary gaps assessing disparities in diabetes technology use persist, particularly concerning people with type 2 diabetes, Native American/American Indian and LGBTQ+ populations, and in outcomes related to continuation of use. Social and digital determinants of health, such as income, transportation, residential location and technological literacy, are crucial to achieving equitable access. Future research should focus on the patient journey to identify opportunities for equitable access to diabetes technology as its use grows.

Preadmission Metformin Use Is Associated with Reduced Mortality in Patients with Diabetes Mellitus Hospitalized with COVID-19

BACKGROUND

Observational studies have reported an association between metformin and improved outcomes in COVID-19, but most have been small and with significant limitations.

OBJECTIVE

To evaluate the association between preadmission metformin exposure and mortality in patients with diabetes mellitus hospitalized with coronavirus disease 2019 (COVID-19) infection.

DESIGN

Retrospective cohort analysis using electronic health records extracted from the American Heart Association COVID-19 Registry.

PARTICIPANTS

Adults (n = 11,993) with diabetes mellitus but without chronic kidney disease (CKD) or need for hemodialysis who were hospitalized with COVID-19 between January 25, 2020, and February 9, 2022.

MAIN MEASURES

We used propensity score modeling to address differences between metformin and non-metformin users prior to multivariable log-binomial models to examine the association between metformin use at time of hospital admission for COVID-19 infection and in-hospital death; composite of in-hospital death or discharge to hospice; composite of in-hospital death, discharge to hospice, or ICU admission; and composite of in-hospital death, discharge to hospice, ICU admission, or mechanical ventilation.

KEY RESULTS

Compared to metformin non-use, pre-admission metformin use was associated with lower risk of in-hospital death (risk ratio (RR) 0.81 [95% CI 0.75-0.90]); composite of in-hospital death or discharge to hospice (RR 0.79 [95% CI 0.74-0.87]); composite of in-hospital death, discharge to hospice, or ICU admission (RR 0.90 [95% CI 0.86-0.95]); and composite of in-hospital death, discharge to hospice, ICU admission, or mechanical ventilation (RR 0.9 [95% CI 0.84-0.98]). Metformin use was also associated with lower risk of death due to respiratory cause (RR 0.86 [95% CI 0.74-0.97]) but not cardiovascular (RR 0.84 [95% CI 0.58-1.2]) or other (RR 0.78 [95% CI 0.60-1.0]) causes.

CONCLUSIONS

Pre-admission metformin use was associated with lower risk of in-hospital mortality and markers of disease severity among adults with diabetes mellitus without CKD and not requiring hemodialysis who were hospitalized with COVID-19 infection.

A mixed-methods assessment of engagement in wellness programs for patients with prediabetes: Factors associated with referral and participation in lifestyle wellness programs

Objective

We assessed factors associated with engagement in lifestyle wellness programs for patients with prediabetes.

Methods

This mixed-methods study, conducted between March 2018 and April of 2021, combined a retrospective cohort study and semi-structured interviews in a Northern California cohort of patients from a randomized controlled pragmatic clinical trial aged 18-75 with body mass index ≥ 25 and at least one HbA1c between 5.7-6.4 % in the previous 3 months. Patients were assigned to a peer support, enhanced usual care, or control arm. We used generalized linear mixed models to analyze the association between clinical, demographic, and study-related factors and referral to and participation in wellness programs within 12 months. We conducted semi-structured interviews with intervention participants and analyzed them using thematic analysis. We integrated qualitative and quantitative findings using the "following a thread" method.

Results

We identified 2,164 eligible patients; 12.8% were referred to a wellness program and 7% attended a wellness program. Patients not exposed to peer support, males, and Asian-American participants had the lowest odds of participation in wellness programs. Qualitative interviews with 30 intervention participants provided contextual information on quantitative findings including the importance of physician referrals and formal recruitment, a need for social support and accountability, and matching patient needs to wellness program descriptions as facilitators of engaging in wellness programs.

Conclusion

Given the low percentage of patients with prediabetes referred to and participating in wellness programs, there is a need to develop health system strategies to improve wellness program engagement for patients at-risk for diabetes.

All-cause and cause-specific mortality risk and loss in life expectancy associated with incident type 2 diabetes onset age and duration

BACKGROUND

Evidence on type 2 diabetes onset age and duration on mortality risk has been limited by short follow-up, inadequate control for confounding, missing repeated measurements, and inability to cover the full range of onset age, duration, and major causes of death. Moreover, scarce data dissect how type 2 diabetes onset age and duration shape life expectancy.

METHODS

We evaluate prospectively these topics based on 270,075 eligible participants in the Nurses' Health Studies and Health Professionals Follow-up Study, leveraging repeated measurements throughout up to 40 years of follow-up. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

In fully adjusted analyses, incident early onset type 2 diabetes (diagnosed <40 years of age) was associated with significantly higher mortality from all-causes (HR, 95% CI was 3.16, 2.64-3.79; vs. individuals without type 2 diabetes), cardiovascular disease (6.56, 4.27-10.1), respiratory disease (3.43, 1.38-8.51), neurodegenerative disease (5.13, 2.09-12.6), and kidney disease (8.55, 1.98-36.9). The relative risk elevations declined dramatically with each higher decade of age at diagnosis for deaths from most of these causes, though the absolute risk difference increased continuously. A substantially higher cumulative incidence of mortality and a greater loss in life expectancy were associated with younger age at type 2 diabetes diagnosis. Longer disease duration was associated with generally higher relative and absolute risk of mortality.

CONCLUSION

Early onset of type 2 diabetes and longer disease duration are associated with substantially increased risk of all-cause and cause-specific mortality and greater loss in life expectancy.

Diabetes detection from non-diabetic retinopathy fundus images using deep learning methodology

Diabetes is one of the leading causes of morbidity and mortality in the United States and worldwide. Traditionally, diabetes detection from retinal images has been performed only using relevant retinopathy indications. This research aimed to develop an artificial intelligence (AI) machine learning model which can detect the presence of diabetes from fundus imagery of eyes without any diabetic eye disease. A machine learning algorithm was trained on the EyePACS dataset, consisting of 47,076 images. Patients were also divided into cohorts based on disease duration, each cohort consisting of patients diagnosed within the timeframe in question (e.g., 15 years) and healthy participants. The algorithm achieved 0.86 area under receiver operating curve (AUC) in detecting diabetes per patient visit when averaged across camera models, and AUC 0.83 on the task of detecting diabetes per image. The results suggest that diabetes may be diagnosed non-invasively using fundus imagery alone. This may enable diabetes diagnosis at point of care, as well as other, accessible venues, facilitating the diagnosis of many undiagnosed people with diabetes.

A community health worker led diabetes self-management education program: Reducing patient and system burden

AIMS

Conduct a secondary analysis of the TIME (Telehealth-supported, Integrated Community Health Workers (CHWs), Medication access, diabetes Education) made simple trial (SIMPLE) to evaluate healthcare utilization and explore variables that may have influenced HbA1c.

METHODS

Participants (N = 134 [67/group]) were low-income, uninsured Hispanics with or at risk for type 2 diabetes mellitus. We included in-person and telehealth clinician visits, other visits, missed visits, orders placed, and guideline-adherence (e.g., vaccinations, quarterly HbA1c for uncontrolled diabetes). Using multivariable models, we explored for associations between HbA1c changes and these measures.

RESULTS

The control arm had higher missed visits rates (intervention: 45 %; control: 56 %; p = 0.007) and missed telehealth appointments (intervention: 10 %; control: 27.4 %; p = 0.04). The intervention group received more COVID vaccinations than the control (p = 0.005). Other health measures were non-significant between groups. Intervention individuals' HbA1c improved with more missed visits (-0.60 %; p < 0.01) and worsened with improved guideline-adherent HbA1c measurements (HbA1c: 1.2 %; p = 0.057). The control group had non-significant HbA1c associations.

CONCLUSIONS

Findings suggest that the SIMPLE trial's improved HbA1c levels stemmed from a CHW-driven intervention and not additional healthcare contact. Exploratory outcomes resulted in seemingly counterintuitive HbA1c associations with missed visits and guideline-adherent measurements; these may suggest that an intervention that enhances communication provides support to reduce the amount of follow-up needed by participants without sacrificing clinical improvements.

Effect of Verapamil on Glycemic Control in Type 2 Diabetic Hypertensive Patients in Saudi Arabia: A Quasi Experimental Study

BACKGROUND

Type 2 diabetes is a common chronic disease that continues to increase in prevalence globally and is a major healthcare burden. Diabetes and hypertension frequently occur concurrently, and the use of antihypertensive agents is common in diabetic patients. One antihypertensive agent, verapamil, has tentatively shown potentially positive effects on glycemic control in assorted pre-clinical models.

AIM

To evaluate the effect of verapamil on glycemic control in hypertensive type 2 diabetic patients.

METHODS

Type 2 diabetic hypertensive patients were recruited from King Fahad Medical City, Riyadh, KSA, to receive oral verapamil therapy. Blood pressure and glycometabolic parameters, including fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), C-peptide, and homeostatic model assessment insulin resistance (HOMA-IR), were monitored at baseline and after 6 months of verapamil therapy.

RESULTS

Thirty-five patients (16 male, 19 female) with a mean age of 57.2 years were recruited. The use of verapamil was associated with non-significant decreases in HbA1c, FPG, C-peptide, and HOMA-IR. However, a sub-group of 17 participants showed a decrease in HbA1c that was ≥0.5%. Univariate logistic regression showed that baseline BMI, HOMA-IR, and C-peptide were significantly (P < 0.05) associated with HbA1c reductions of ≥0.5%.

CONCLUSION

Verapamil is metabolically neutral and allows the stabilization of glycometabolic parameters in type 2 diabetic individuals. Additional research exploring the mechanism behind the variable response to verapamil therapy is warranted.

Lifetime Medical Spending Attributed to Incident Type 2 Diabetes in Medicare Beneficiaries: A Longitudinal Study Using 1999-2019 National Medicare Claims

OBJECTIVE

To estimate lifetime incremental medical spending attributed to incident type 2 diabetes (T2D) among Medicare beneficiaries by age at diagnosis, sex, and race/ethnicity.

RESEARCH DESIGN AND METHODS

We used the 1999-2019 100% Medicare fee-for-service claims database to identify a cohort of beneficiaries with newly diagnosed T2D in 2001-2003 using ICD codes. We matched this cohort with a nondiabetes cohort using a propensity score method and then followed the two cohorts until death, disenrollment, or the end of 2019. Lifetime medical spending for each cohort was the sum of expected annual spending, a product of actual annual spending multiplied by the annual survival rate, from the age at T2D diagnosis to death. Lifetime incremental medical spending was calculated as the difference in lifetime medical spending between the two cohorts. All spending was standardized to 2019 U.S. dollars.

RESULTS

Medicare beneficiaries with newly diagnosed T2D, despite having a shorter life expectancy, had 36-40% higher lifetime medical spending compared with a comparable group without diabetes. Lifetime incremental medical spending ranged from $16,115 to $122,146, depending on age at diagnosis, sex, and race/ethnicity, declining with age at diagnosis, and being highest for Asian/Pacific Islander and non-Hispanic Black beneficiaries.

CONCLUSIONS

The large lifetime incremental medical spending associated with incident T2D underscores the need for preventing T2D among Medicare beneficiaries. Our results could be used to estimate the potential financial benefit of T2D prevention programs both overall and among subgroups of beneficiaries.

Effect of recurrent severe insulin-induced hypoglycemia on the cognitive function and brain oxidative status in the rats

BACKGROUND

Episodes of recurrent or severe hypoglycemia can occur in patients with diabetes mellitus, insulinoma, neonatal hypoglycemia, and medication errors. However, little is known about the short-term and long-term effects of repeated episodes of acute severe hypoglycemia on the brain, particularly in relation to hippocampal damage and cognitive dysfunction.

METHODS

Thirty-six wistar rats were randomly assigned to either the experimental or control group. The rats were exposed to severe hypoglycemia, and assessments were conducted to evaluate oxidative stress in brain tissue, cognitive function using the Morris water maze test, as well as histopathology and immunohistochemistry studies. The clinical and histopathological evaluations were conducted in the short-term and long-term.

RESULTS

The mortality rate attributed to hypoglycemia was 34%, occurring either during hypoglycemia or within 24 h after induction. Out of the 14 rats monitored for 7 to 90 days following severe/recurrent hypoglycemia, all exhibited clinical symptoms, which mostly resolved within three days after the last hypoglycemic episode, except for three rats. Despite the decrease in catalase activity in the brain, the total antioxidant capacity following severe insulin-induced hypoglycemia increased. The histopathology findings revealed that the severity of the hippocampal damage was higher compared to the brain cortex 90 days after hypoglycemia. Memory impairments with neuron loss particularly pronounced in the dentate gyrus region of the hippocampus were observed in the rats with severe hypoglycemia. Additionally, there was an increase in reactive astrocytes indicated by GFAP immunoreactivity in the brain cortex and hippocampus.

CONCLUSION

Recurrent episodes of severe hypoglycemia can lead to high mortality rates, memory impairments, and severe histopathological changes in the brain. While many histopathological and clinical changes improved after three months, it seems that the vulnerability of the hippocampus and the development of sustained changes in the hippocampus were greater and more severe compared to the brain cortex following severe and recurrent hypoglycemia. Furthermore, it does not appear that oxidative stress plays a central role in neuronal damage following severe insulin-induced hypoglycemia. Further research is necessary to assess the consequences of repeated hypoglycemic episodes on sustained damage across various brain regions.

Voices of Wisdom: Geriatric Interviews on Self-Management of Type 2 Diabetes in the United States-A Systematic Review and Metasynthesis

This review is aimed at unraveling the intricacies of diabetic self-management among geriatric people, drawing on current insights and understanding the complex paths geriatric people navigate. A wide search was conducted in health-oriented databases, including CINAHL, Embase, PsycINFO, MEDLINE, PubMed, Web of Science, and Cochrane Library, while gray literature was excluded. The search combined keywords and subject headings, focusing on the geriatric population, diabetes, self-management, and qualitative research. A three-tiered screening process was employed, with titles and then abstracts initially reviewed. Full-text analysis followed, with disagreements resolved among reviewers. In total, there were 248 participants included across these eight studies. Positive attitudes and perceptions were found to play a significant role in optimizing diabetes self-care outcomes. Support from family and friends was identified as crucial for self-care, while healthcare professionals often lacked adequate support and encouragement. Participants emphasized the importance of listening to their bodies and acknowledging hidden issues. These themes collectively highlight the multifaceted aspects of diabetes self-care and the impact of various factors on the self-management experiences of geriatric individuals with diabetes. The goal of this review is not to objectify self-management as a treatment strategy but to emphasize the importance of cultivating positive attitudes, respecting individual values, and addressing cultural and ethnic differences in healthcare practices to enhance self-management in this population. By embracing cultural diversity, understanding barriers, and respecting individual values, healthcare professionals and policymakers can improve the quality of life for the geriatric population living with diabetes.

Prospective associations of occupational and leisure-time physical activity with risk of diabetes: a cohort study from the United States

OBJECTIVES

Leisure-time physical activity (LTPA) can reduce the risk of incident diabetes, whereas the role of occupational physical activity (OPA) in developing diabetes is still unclear due to conflicting evidence. Moreover, the joint associations of OPA and LTPA with incident diabetes among US workers have not yet been systematically examined. The objective of this study was to assess the independent and joint associations of OPA and LTPA with incident diabetes.

METHODS

This prospective cohort study included 1406 workers free from diabetes at baseline (2004-2006) from the national, population-based Mid-life in the United States (MIDUS) study. Associations of OPA and LTPA at baseline with incident diabetes during 9 years of follow-up were examined using Poisson regression models. High OPA was defined based on engagement in physical demands at work, and high LTPA was defined as participation in moderate or vigorous LTPA at least once per week.

RESULTS

High OPA was associated with an increased risk of diabetes compared to low OPA (adjusted risk ratios and 95% confidence interval = 1.52 [1.04, 2.22]), while high LTPA was associated with a decreased risk of diabetes compared to low LTPA (0.66 [0.44, 0.97]). Diabetes risk was the highest among workers with high OPA and low LTPA (2.30 [1.30, 4.07]).

CONCLUSIONS

In a national, population-based prospective cohort study of US workers, high OPA was associated with an elevated risk of diabetes, while high LTPA was associated with a decreased diabetes risk. The combination of high OPA and low LTPA exhibited the greatest risk of diabetes.

Examining the Public's Most Frequently Asked Questions About Carpal Tunnel Syndrome and Appraising Online Information About Treatment

BACKGROUND

Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy. Patients often search online for health information regarding common musculoskeletal complaints. Thus, the purpose of this study was to use language processing information from Google to assess the content of CTS frequently asked questions (FAQs) searched online and the transparency and quality of online CTS information.

METHODS

On March 11, 2021, we searched Google for 3 terms "carpal tunnel syndrome treatment," "carpal tunnel syndrome surgical treatment," and "carpal tunnel syndrome non-surgical treatment" until a minimum of 100 FAQs and their answer links were extracted from each search. We used Rothwell classification to categorize the FAQs. The Journal of the American Medical Association's benchmark criteria were used to assess information transparency. Information quality was assessed using the Brief DISCERN tool.

RESULTS

Our Google search returned 124 unique FAQs. Fifty-six (45.2%) were value based and most were related to the evaluation of treatment options (45/56, 80.4%). The most common source type was medical practices (26.6%). Nearly half of the answer sources (45.9%) were found to be lacking in transparency. One-way analysis of variance revealed a significant difference in mean Brief DISCERN scores among the 5 source types, F(4, 119) = 5.93, P = .0002, with medical practices averaging the worst score (13.73/30).

CONCLUSIONS

Patients are most commonly searching Google to gain information regarding CTS treatment options. Online sources such as medical practices should use widely accepted rubrics for ensuring transparency and quality prior to publishing CTS information.

County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States

OBJECTIVE

To examine differences in the incidence and prevalence of diagnosed diabetes by county rurality.

PATIENTS AND METHODS

This observational, cross-sectional study used US Centers for Disease Control and Prevention data from 2004 through 2019 for county estimates of incidence and prevalence of diagnosed diabetes. County rurality was based on 6 levels (large central metro counties [most urban] to noncore counties [most rural]). Weighted least squares regression was used to relate rurality with diabetes incidence rates (IRs; per 1000 adults) and prevalence (percentage) in adults aged 20 years or older after adjusting for county-level sociodemographic factors (eg, food environment, health care professionals, inactivity, obesity).

RESULTS

Overall, in 3148 counties and county equivalents, the crude IR and prevalence of diabetes were highest in noncore counties. In age and sex ratio-adjusted models, the IR of diabetes increased monotonically with increasing rurality (P<.001), whereas prevalence had a weak, nonmonotonic but statistically significant increase (P=.002). Further adjustment for sociodemographic factors including food environment, health care professionals, inactivity, and obesity attenuated differences in incidence across rurality levels, and reversed the pattern for prevalence (prevalence ratios [vs large central metro] ranged from 0.98 [95% CI, 0.97 to 0.99] for large fringe metro to 0.94 [95% CI, 0.93 to 0.96] for noncore). In region-stratified analyses adjusted for sociodemographic factors including inactivity and obesity, increasing rurality was inversely associated with incidence in the Midwest and West only and inversely associated with prevalence in all regions.

CONCLUSION

The crude incidence and prevalence of diagnosed diabetes increased with increasing county rurality. After accounting for sociodemographic factors including food environment, health care professionals, inactivity, and obesity, county rurality showed no association with incidence and an inverse association with prevalence. Therefore, interventions targeting modifiable sociodemographic factors may reduce diabetes disparities by region and rurality.

Association of diabetes mellitus with dementia- and non-dementia-related mortality amongst women: a secondary competing risks analysis of the California Teachers Study

BACKGROUND AND PURPOSE

The prevalence of dementia is rapidly increasing. Attempts to further understand modifiable risk factors such as diabetes mellitus (DM) are urgently needed to inform public health policies for prevention. Thus, the objective of the current study was to assess the relationship between DM and risk of dementia and non-dementia mortality amongst women in the California Teachers Study prospective cohort.

METHODS

Women (n = 124,509) aged 22-104 years at baseline were included. DM was ascertained from self-reported questionnaires and hospital-linked records. Dementia-related deaths were ascertained from state and national records. Competing risk regression models were used to estimate cause-specific hazard ratios and 95% confidence intervals for the association of DM with dementia- and non-dementia-related mortality.

RESULTS

There were 10,511 total DM cases and 3625 deaths due to dementia over a mean of 21.3 years of follow-up. Fully adjusted cause-specific hazard ratios of the association with DM were 2.26 (2.01, 2.55) for dementia-related and 1.97 (1.89, 2.05) for the competing risk of non-dementia-related mortality. This association was strongest amongst participants with incident DM, younger age at baseline and higher alcohol consumption or who were overweight.

CONCLUSIONS

In the California Teachers Study, women with DM had increased risk of mortality due to both dementia and non-dementia causes; however, the risk of mortality due to dementia was elevated compared to non-dementia causes only amongst participants with incident DM.

Glucose Targets Using Continuous Glucose Monitoring Metrics in Older Adults With Diabetes: Are We There Yet?

The older population is increasing worldwide and up to 30% of older adults have diabetes. Older adults with diabetes are at risk of glucose-related acute and chronic complications. Recently, mostly in type 1 diabetes (T1D), continuous glucose monitoring (CGM) devices have proven beneficial in improving time in range (TIR glucose, 70-180 mg/dL or glucose 3.9-10 mmol/L), glycated hemoglobin (HbA1c), and in lowering hypoglycemia (time below range [TBR] glucose <70 mg/dL or glucose <3.9 mmol/L). The international consensus group formulated CGM glycemic targets relating to older adults with diabetes based on very limited data. Their recommendations, based on expert opinion, were aimed at mitigating hypoglycemia in all older adults. However, older adults with diabetes are a heterogeneous group, ranging from healthy to very complex frail individuals based on chronological, biological, and functional aging. Recent clinical trial and real-world data, mostly from healthy older adults with T1D, demonstrated that older adults often achieve CGM targets, including TIR recommended for non-vulnerable groups, but less often meet the recommended TBR <1%. Existing data also support that hypoglycemia avoidance may be more strongly related to minimization of glucose variability (coefficient of variation [CV]) rather than lower TIR. Very limited data are available for glucose goals in older adults adjusted for the complexity of their health status. Herein, we review the bidirectional associations between glucose and health status in older adults with diabetes; use of diabetes technologies, and their impact on glucose control; discuss current guidelines; and propose a new set of CGM targets for older adults with insulin-treated diabetes that are individualized for health and living status.

Gastroparesis treatment options metoclopramide and prucalopride: analysis of the FDA Adverse Event Reporting System (FAERS) database

BACKGROUND

We aimed to examine the common adverse drug reactions (ADRs) of metoclopramide, FDA-approved for treating many gastrointestinal conditions including gastroparesis, and prucalopride, FDA-approved for treating chronic idiopathic constipation but used off-label for other gastrointestinal conditions including gastroparesis.

RESEARCH DESIGN AND METHODS

The FDA Adverse Event Reporting System (FAERS) was analyzed from January 2013 to December 2023. ADR reports regarding use of only metoclopramide or prucalopride were analyzed following exclusion of reports indicating use for treatment of non-gastrointestinal conditions.

RESULTS

Analysis of 1,085 reports on metoclopramide revealed tardive dyskinesia (n = 393, 36.2%) and dystonia (n = 170, 15.7%) among the most reported ADRs in addition to QTc prolongation (n = 16, 1.5%) with progression to Torsade de pointes (n = 5, 0.5%) and triggering of pheochromocytoma crisis (n = 24, 2.2%). Analysis of 865 reports on prucalopride revealed headache (n = 120, 13.9%), diarrhea (n = 116, 13.4%), and abdominal pain (n = 100, 11.6%) as the most common ADRs with 22 reports (2.5%) of dystonia with the use of prucalopride.

CONCLUSIONS

This FAERS database analysis shows post-marketing reports of ADRs from metoclopramide most frequently include tardive dyskinesia, dystonia, and tremor in addition to potentially fatal arrhythmias such as Torsade de pointes. Consumers of prucalopride may also be at risk of dystonia and other ADRs.

Duration of Dual Antiplatelet Therapy After Percutaneous Coronary Intervention in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Network Meta-analysis

Background

Patients with type 2 diabetes mellitus (DM) comprise more than a quarter of all patients undergoing percutaneous coronary intervention and are at higher risk of adverse events. We sought to reexamine the optimal duration of dual antiplatelet therapy (DAPT) postpercutaneous coronary intervention in patients with DM.

Methods

We systematically included randomized controlled trials comparing any 2 of 1, 3, 6, and 12 months of DAPT that reported major adverse cardiovascular events (MACE), net adverse clinical events (NACE), bleeding, or stent thrombosis in DM, and performed a frequentist network meta-analysis. We also performed a sensitivity analysis of trials that exclusively enrolled patients with acute coronary syndrome.

Results

In 16 randomized controlled trials comprising 16,376 adults with DM, there was no significant difference in NACE, MACE, stent thrombosis, or major bleeding between pairwise comparisons of 1, 3, 6, and 12 months of DAPT, except for a signal for lower bleeding with 3 months of DAPT compared to 12 (risk ratio, 0.72; 95% CI, 0.51-0.99). Sensitivity analysis of trials that solely included acute coronary syndrome similarly showed no significant difference in MACE between 1, 3, 6, and 12 months of DAPT.

Conclusions

Our study found no meaningful difference in NACE or MACE between pairwise comparisons of 1, 3, 6, and 12 months of DAPT by study-level meta-analysis of patients with DM, with lower bleeding risk observed with 3 months than with 12 months of DAPT. This finding may provide clinicians greater flexibility to personalize patients' DAPT duration based on other non-DM comorbidities that might affect bleeding or thrombosis risk.

Whole milk dairy foods and cardiometabolic health: dairy fat and beyond

Bovine dairy milk is a nutrient-rich matrix, but consumption of full-fat dairy food varieties has been claimed historically to be associated with poorer cardiometabolic health, a notion often attributed to the saturated fat content. However, continued investigation that includes observational studies and randomized controlled trials (RCTs) provide evidence that favorably supports full-fat dairy foods and their bioactive components on cardiometabolic health. This review addresses this controversy by examining the evidence surrounding full-fat dairy foods and their implications for human health. Dairy foods are heterogeneous, not just in their fat content but also in other compositional aspects within and between fermented (e.g., yogurt, cheese) and nonfermented products (e.g., milk) that could differentially influence cardiometabolic health. Drawing from complementary lines of evidence from epidemiological studies and RCTs, this review describes the health effects of dairy foods regarding their fat content, as well as their polar lipids that are concentrated in the milk fat globule fraction. Observational studies have limitedly supported the consumption of full-fat dairy to protect against cardiometabolic disorders. However, this framework has been disputed by RCTs indicating that dairy foods, regardless of their fat content or fermentation, are not detrimental to cardiometabolic health and may instead alleviate certain cardiometabolic risk factors. As dietary recommendations evolve, which currently indicate to avoid full-fat dairy foods, it is essential to consider the totality of evidence, especially from RCTs, while also recognizing that investigation is needed to evaluate the complexity of dairy foods within diverse dietary patterns and their impacts on cardiometabolic health.

Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes

Type 2 diabetes (T2D) is a global health concern with increasing prevalence. Comorbid hypothyroidism (HT) exacerbates kidney, cardiac, neurological and other complications of T2D; these risks can be mitigated pharmacologically upon detecting HT. The current HT standard of care (SOC) screening in T2D is infrequent, delaying HT diagnosis and treatment. We present a first-to-date machine learning algorithm (MLA) clinical decision tool to classify patients as low vs. high risk for developing HT comorbid with T2D; the MLA was developed using readily available patient data from harmonized multinational datasets. The MLA was trained on data from NIH All of US (AoU) and UK Biobank (UKBB) (Combined dataset) and achieved a high negative predictive value (NPV) of 0.989 and an AUROC of 0.762 in the Combined dataset, exceeding AUROCs for the models trained on AoU or UKBB alone (0.666 and 0.622, respectively), indicating that increasing dataset diversity for MLA training improves performance. This high-NPV automated tool can supplement SOC screening and rule out T2D patients with low HT risk, allowing for the prioritization of lab-based testing for at-risk patients. Conversely, an MLA output that designates a patient to be at risk of developing HT allows for tailored clinical management and thereby promotes improved patient outcomes.

A candidate panel of eight urinary proteins shows potential of early diagnosis and risk assessment for diabetic kidney disease in type 1 diabetes

Diabetic kidney disease (DKD) poses a significant health challenge for individuals with diabetes. At its initial stages, DKD often presents asymptomatically, and the standard for non-invasive diagnosis, the albumin-creatinine ratio (ACR), employs discrete categorizations (normal, microalbuminuria, macroalbuminuria) with limitations in sensitivity and specificity across diverse population cohorts. Single biomarker reliance further restricts the predictive value in clinical settings. Given the escalating prevalence of diabetes, our study uses proteomic technologies to identify novel urinary proteins as supplementary DKD biomarkers. A total of 158 T1D subjects provided urine samples, with 28 (15 DKD; 13 non-DKD) used in the discovery stage and 131 (45 DKD; 40 pDKD; 46 non-DKD) used in the confirmation. We identified eight proteins (A1BG, AMBP, AZGP1, BTD, RBP4, ORM2, GM2A, and PGCP), all of which demonstrated excellent area-under-the-curve (AUC) values (0.959 to 0.995) in distinguishing DKD from non-DKD. Furthermore, this multi-marker panel successfully segregated the most ambiguous group (microalbuminuria) into three distinct clusters, with 80% of subjects aligning either as DKD or non-DKD. The remaining 20% exhibited continued uncertainty. Overall, the use of these candidate urinary proteins allowed for the better classification of DKD and offered potential for significant improvements in the early identification of DKD in T1D populations.

Trends in California Cardiovascular Disease Mortality: Sex-Race/Ethnicity Disparity and Income Inequality

OBJECTIVE

To examine the cardiovascular disease (CVD)-related death trends and the relationship between CVD deaths and sex, race/ethnicity, and income in California from January 1, 1999, to December 31, 2021.

METHODS

The age-adjusted death rate (AADR) per 100,000 population attributable to ischemic heart disease (IHD), hypertensive heart disease (HHD) and heart failure (HF), stroke, and CVD combined were calculated using CDC WONDER (Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research) for California, 1999 to 2021. We used a joinpoint log-linear regression model to determine trends in CVD death. Income disparities were assessed using the slope index of inequality and health concentration index.

RESULTS

Between 1999 and 2021, overall death rates for CVD decreased significantly (average annual percent change, -2.2% [95% confidence interval: -2.6%, -1.7%]), IHD (-3.7% [-4.3%, -3.1%]), and stroke (-2.0% [-2.8%, -1.2%]) and increased for HHD (2.0% [0.6%, 3.5%]) and HF (2.0% [1.3%, 2.7%]). The AADR of combined CVD first decreased significantly (1999-2014; all P<.001), then increased significantly after COVID-19 (P=.02). The AADR of IHD decreased significantly (1999-2019; all P<.001) and then increased after the COVID-19 pandemic but was not statistically significant (P=.15). The AADR of HHD (2014-2021) and HF (2013-2021) increased significantly (all P<.001), and this increase accelerated after COVID-19. The AADR of stroke decreased (1999-2009), then increased after COVID-19 but was not statistically significant (P=.07). Our results revealed significant disparities with CVD death being disproportionately higher among male, non-Hispanic Black, American Indian or Alaska Native, Native Hawaiian or Pacific Islander, Asian, and poorer populations.

CONCLUSION

All the death rates that were decreasing, stagnant, or increasing prior to the COVID-19 pandemic increased after the pandemic. We found increasingly adverse outcomes among the poor and racial/ethnic minority populations.

Untargeted serum metabolic profiling of diabetes mellitus among Parkinson's disease patients

Type 2 diabetes mellitus (T2DM) is a common comorbidity among Parkinson's disease (PD) patients. Yet, little is known about dysregulated pathways that are unique in PD patients with T2DM. We applied high-resolution metabolomic profiling in serum samples of 636 PD and 253 non-PD participants recruited from Central California. We conducted an initial discovery metabolome-wide association and pathway enrichment analysis. After adjusting for multiple testing, in positive (or negative) ion mode, 30 (25) metabolic features were associated with T2DM in both PD and non-PD participants, 162 (108) only in PD participants, and 32 (7) only in non-PD participants. Pathway enrichment analysis identified 17 enriched pathways associated with T2DM in both the PD and non-PD participants, 26 pathways only in PD participants, and 5 pathways only in non-PD participants. Several amino acid, nucleic acids, and fatty acid metabolisms were associated with T2DM only in the PD patient group suggesting a possible link between PD and T2DM.

The Effect of Limb Salvage Efforts in Different Age Groups: Relationships Between Major and Minor Amputations

"Limb salvage" efforts, such as performing minor amputations before infections spread proximally from the foot to decrease major lower extremity amputation, are an important part of healthcare today. It is unclear whether these efforts are preventing the number of major amputations and improving patients' quality of life and the cost-effectiveness of the U.S. healthcare system. Rates of non-traumatic lower extremity amputation (NLEA) among patients with diabetes decreased in the early 2000s but rebounded in the 2010s. We analyzed the proportion of major amputations and differences in amputation rates between age groups in Texas. Patient data was extracted from the Texas Hospital Discharge Data Public Use Data File. Population estimates were obtained from the Texas Population Estimates Program from 2011 to 2015 and from intercensal estimates provided by the U.S. Census Bureau from 2006 to 2010. Raw numbers of minor, major, and all NLEA surgeries and the ratio of major amputations to total amputations per year were reported for each age group. Poisson regression and Joinpoint analyses were performed to capture these changes in trends. Rates of amputations increased, with significant decreasing relative prevalence of major amputations. Patients aged 45 to 64 with diabetes are likely driving these increases. Rates of lower extremity amputation in patients with diabetes increased from 2009 to 2015. This holds for all and minor amputations. In contrast, the ratio of major to all amputations decreased from 2010. Utilization of major and minor amputation differs between age groups, remaining stable in the youngest subjects, with minor amputation rates increasing in those aged 45 to 64.

Coccidioidomycosis in Oklahoma: A retrospective case series

BACKGROUND

Coccidioidomycosis is a systemic fungal disease endemic to arid regions of the Western Hemisphere. In the south-western US, Coccidioides spp. may account for up to 20%-25% of all cases of community acquired pneumonia. Clinical manifestations vary widely, from asymptomatic infection to life-threatening disease, especially in immunocompromised hosts.

OBJECTIVES

The primary objective of the study was to characterise cases of coccidioidomycosis in an area of the United States not considered traditionally endemic for the disease.

METHODS

We performed a single-centre retrospective study of all cases of coccidioidomycosis from 1 January 2000 to 31 December 2020, in the University of Oklahoma Health Sciences Medical Center.

RESULTS

A total of 26 patients were included for analysis. The central nervous system (CNS) and the lungs were the sites most frequently involved. Twenty (77%) had travelled to a coccidioidomycosis endemic region. Most were male (81%) with a median age of 42 years (range: 3-78 years). The majority (46%) were Caucasians, 19% were African American, 19% Hispanic, and 12% Native American. The most common comorbidities were diabetes mellitus and acquired immunodeficiency syndrome, identified in 27% and 23% of patients, respectively. Patients on immunosuppressive therapy accounted for 12% of all cases.

CONCLUSION

Our study is one of the largest single-centre case series of coccidioidomycosis from a non-endemic area. Diabetes mellitus was the most frequent comorbidity. Compared to other case series of coccidioidomycosis, our patient population had higher rates of immunosuppression and had both a higher rate of disseminated disease and overall mortality.

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.

Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Racial Disparities in Selected Complications and Comorbidities among People with Type 2 Diabetes

Type 2 diabetes (T2D) is a growing public health concern, disproportionately impacting racial and ethnic minorities. Assessing disparities is the first step towards achieving the translation goal to reduce disparities in diabetes outcomes, according to the Centers for Disease Control and Prevention (CDC)'s Division of Diabetes. We analyzed the data of patients (18+ years) diagnosed with T2D between 1 January 2012 and 31 March 2017, using the electronic health records of the University of Texas Medical Branch at Galveston. We compared the crude rate and age-standardized rate (using direct method) of selected micro- and macrovascular complication rates, associated obesity, and insulin dependence among racial and ethnic groups. Our sample included 20,680 patients who made 394,106 visits (9922 non-Hispanic White patients, 4698 non-Hispanic Black patients, and 6060 Hispanic patients). Our results suggest a higher risk of acquiring macrovascular (hypertension, ischemic disease, and stroke) and microvascular (renal, ophthalmic, and neurological) complications in Black patients compared to non-Hispanic White and Hispanic patients. The rates of stage I or II obesity were higher in Black patients compared with White and Hispanic patients. The rates of insulin use rather than oral hypoglycemics were also higher in Black patients than White and Hispanic patients. The disparities in terms of the higher susceptibility to complications among Black patients are possibly linked to the socioeconomic disadvantages of this population, leading to poorer management. Prevention strategies are warranted to reduce the incidence of T2D complications in racial minorities.

Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium

BACKGROUND AND AIMS

Physical inactivity, sedentary behaviour (SB), and inadequate sleep are key behavioural risk factors of cardiometabolic diseases. Each behaviour is mainly considered in isolation, despite clear behavioural and biological interdependencies. The aim of this study was to investigate associations of five-part movement compositions with adiposity and cardiometabolic biomarkers.

METHODS

Cross-sectional data from six studies (n = 15 253 participants; five countries) from the Prospective Physical Activity, Sitting and Sleep consortium were analysed. Device-measured time spent in sleep, SB, standing, light-intensity physical activity (LIPA), and moderate-vigorous physical activity (MVPA) made up the composition. Outcomes included body mass index (BMI), waist circumference, HDL cholesterol, total:HDL cholesterol ratio, triglycerides, and glycated haemoglobin (HbA1c). Compositional linear regression examined associations between compositions and outcomes, including modelling time reallocation between behaviours.

RESULTS

The average daily composition of the sample (age: 53.7 ± 9.7 years; 54.7% female) was 7.7 h sleeping, 10.4 h sedentary, 3.1 h standing, 1.5 h LIPA, and 1.3 h MVPA. A greater MVPA proportion and smaller SB proportion were associated with better outcomes. Reallocating time from SB, standing, LIPA, or sleep into MVPA resulted in better scores across all outcomes. For example, replacing 30 min of SB, sleep, standing, or LIPA with MVPA was associated with -0.63 (95% confidence interval -0.48, -0.79), -0.43 (-0.25, -0.59), -0.40 (-0.25, -0.56), and -0.15 (0.05, -0.34) kg/m2 lower BMI, respectively. Greater relative standing time was beneficial, whereas sleep had a detrimental association when replacing LIPA/MVPA and positive association when replacing SB. The minimal displacement of any behaviour into MVPA for improved cardiometabolic health ranged from 3.8 (HbA1c) to 12.7 (triglycerides) min/day.

CONCLUSIONS

Compositional data analyses revealed a distinct hierarchy of behaviours. Moderate-vigorous physical activity demonstrated the strongest, most time-efficient protective associations with cardiometabolic outcomes. Theoretical benefits from reallocating SB into sleep, standing, or LIPA required substantial changes in daily activity.

Tirzepatide 10 and 15 mg vs semaglutide 2.0 mg: A long-term cost-effectiveness analysis in patients with type 2 diabetes in the United States

BACKGROUND

Tirzepatide is a novel glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist approved for type 2 diabetes (T2D) treatment.

OBJECTIVE

To compare the long-term cost-effectiveness of tirzepatide 10 mg and 15 mg vs semaglutide 2.0 mg, an injectable glucagon-like peptide-1 receptor agonist, in patients with T2D from a US health care payer perspective.

METHODS

The PRIME T2D Model was used to project clinical and cost outcomes over a 50-year time horizon. Baseline cohort characteristics and treatment effects were sourced from a published adjusted indirect treatment comparison that used data from the SURPASS-2 and SUSTAIN FORTE trials. Patients were assumed to intensify to insulin therapy at a hemoglobin A1c of greater than 7.5%. Costs and health state utilities were derived from published sources. Future costs and clinical benefits were discounted at 3% annually.

RESULTS

Tirzepatide 10 mg and 15 mg were associated with improved quality-adjusted life-expectancy (10 mg: 0.085 quality-adjusted life-years [QALYs], 15 mg: 0.121 QALYs), higher direct costs (10 mg: USD 5,990, 15 mg: USD 6,617), and incremental cost-effectiveness ratios of USD 70,147 and 54,699 per QALY gained, respectively, vs semaglutide 2.0 mg. Both doses of tirzepatide remained cost-effective vs semaglutide 2.0 mg over a range of sensitivity analyses.

CONCLUSIONS

Long-term projections using the PRIME T2D model and based on treatment effects from an adjusted indirect treatment comparison indicate that tirzepatide 10 mg and 15 mg are likely to be cost-effective vs semaglutide 2.0 mg for the treatment of T2D in the United States.

An Economic Evaluation of the Relationship Between Glycemic Control and Total Healthcare Costs for Adults with Type 2 Diabetes: Retrospective Cohort Study

INTRODUCTION

Glycemic control is associated with better outcomes among individuals with type 2 diabetes (T2D). This research examines total US all-cause medical costs for adults with T2D with recommended glycemic control (HbA1c < 7%) compared to poor glycemic control (HbA1c ≥ 7%).

METHODS

The study used administrative claims data linked to HbA1c laboratory test results from January 1, 2015 through June 30, 2021 to identify adults with T2D with a recorded HbA1c test. Patients with recommended glycemic control at index date were propensity score matched to patients with poor glycemic control. General linear models and two-part models were used to compare all-cause outpatient, drug, acute care and total costs for 1 year post index date.

RESULTS

The study included 59,830 propensity-matched individuals. Results indicate that recommended glycemic control, compared to poor glycemic control, was associated with statistically significantly lower all-cause acute care ($23,868 ± $21,776 vs. $24,352 ± $22,223), drug ($10,277 ± $14,671 vs. $10,540 ± $14,928), and total medical costs ($41,381 ± $42,757 vs. $42,054 ± $43,422) but significantly higher outpatient costs ($7290 ± $12,028 vs. $7026 ± $11,587) (all p < 0.0001). Sensitivity analyses examined results based upon alternative HbA1c thresholds of ≤ 6.5% and < 8%. Results were generally robust to alternative HbA1c thresholds, with higher HbA1c thresholds associated with higher all-cause total costs as well as increased savings for having HbA1c below threshold.

CONCLUSIONS

Glycemic control was associated with significantly lower all-cause total, drug, and acute care medical costs. Given the high prevalence of T2D in the USA, our results suggest potential economic benefits associated with glycemic control for healthcare providers.

Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach

BACKGROUND

Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales.

METHODS

Diabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients.

RESULTS

Populations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access).

CONCLUSIONS

The findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.

Examining Outcomes in Patients Admitted With Comorbid Peripheral Artery Disease and Microvascular Disease

BACKGROUND

Peripheral artery disease (PAD) and microvascular disease (MVD) are highly prevalent conditions that share common risk factors. This observational study aimed to characterize patients with both conditions and determine the impact of comorbid PAD/MVD on outcomes.

METHODS AND RESULTS

Patients admitted across 31 states January 2011 through December 2018 with a primary or secondary diagnosis of PAD or MVD were included from the National Readmissions Database and weighted to approximate a national sample. Those age <18 years or with nonatherosclerotic leg injuries were excluded. Patients were divided into 3 groups: PAD-only, MVD-only, or comorbid PAD/MVD. Multiple logistic regression was used to evaluate associations with major and minor amputations, major adverse cardiac events, and in-hospital mortality. Cox regression was used to evaluate associations with readmission within 1 year. The PAD group was used as reference. The final cohort included 33 972 772 admissions: 9.1 million with PAD, 21.3 million with MVD, and 3.6 million with both. Annual admissions for PAD/MVD increased to >500 000 in 2018. Major and minor amputations increased ≈50% for PAD/MVD between 2011 and 2018. Compared with PAD-only, PAD/MVD was associated with a higher risk for major amputation (odds ratio [OR], 1.30 [95% CI, 1.28-1.32]), minor amputation (OR, 2.15 [95% CI, 2.12-2.18]), major adverse cardiac events (OR, 1.04 [95% CI, 1.03-1.04]), in-hospital mortality (OR, 1.07 [95% CI, 1.05-1.09]), and readmission (hazard ratio, 1.02 [95% CI, 1.02-1.02]) after adjustment for baseline factors.

CONCLUSIONS

Comorbid MVD is present in a large and growing number of patients with PAD and is associated with augmented risk for adverse outcomes. Further prospective research is merited to understand this vulnerable population.

The Future of Organ Procurement

The dream of any organ procurement organization is to achieve self-sufficiency, where the number of organs needed is met by an equal number of organs available. In 2023, we can hope to reach selfsufficiency by providing kidneys to most patients in terminal renal failure. This can be achieved by decreasing the demand since SGL2 inhibitors have shown promising results in delaying renal failure. On the other hand, progress in the development of the bioartificial kidney and advances in xenotransplantation will significantly increase the number of organs offered.

CHARACTERISTICS OF PARTICIPANTS IN DIABETIC RETINOPATHY CLINICAL RESEARCH CLINICAL TRIALS WHO WERE LOST TO FOLLOW-UP

PURPOSE

Our study describes the racial/ethnic composition and the broad health status/severity of disease of the cohorts of Diabetic Retinopathy Clinical Research clinical trials and compares the rates of noncompletion of the trial with the first data report (lost to follow-up).

METHODS

This study is a retrospective cohort study of participants in Diabetic Retinopathy Clinical Research Retina Network clinical trials who met our inclusion criteria. The primary outcome was the lost to follow-up rates and their associated risk factors.

RESULTS

Eight clinical trials with 3,492 participants met our inclusion criteria. Participants who were lost to follow-up were more likely to be younger, Hispanic or Black, had Type 1 diabetes mellitus, had worse baseline best-corrected visual acuity, had higher hemoglobin A1c, had higher blood pressure, and had proliferative diabetic retinopathy (PDR) (Diabetic Retinopathy Severity Score >66).

CONCLUSION

Participants who were lost to follow-up during Diabetic Retinopathy Clinical Research clinical trials tended to be younger, Hispanic or Black, and had worse diabetes and hypertension. This study highlights the importance of ensuring that a representative population is maintained through the end of the study period.

Association of type 2 diabetes mellitus with dementia-related and non-dementia-related mortality among postmenopausal women: A secondary competing risks analysis of the women's health initiative

INTRODUCTION

Alzheimer's disease (AD) and AD-related dementias (ADRD) are leading causes of death among older adults in the United States. Efforts to understand risk factors for prevention are needed.

METHODS

Participants (n = 146,166) enrolled in the Women's Health Initiative without AD at baseline were included. Diabetes status was ascertained from self-reported questionnaires and deaths attributed to AD/ADRD from hospital, autopsy, and death records. Competing risk regression models were used to estimate the cause-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for the prospective association of type 2 diabetes mellitus (T2DM) with AD/ADRD and non-AD/ADRD mortality.

RESULTS

There were 29,393 treated T2DM cases and 8628 AD/ADRD deaths during 21.6 (14.0-23.5) median (IQR) years of follow-up. Fully adjusted HRs (95% CIs) of the association with T2DM were 2.94 (2.76-3.12) for AD/ADRD and 2.65 (2.60-2.71) for the competing risk of non-AD/ADRD mortality.

DISCUSSION

T2DM is associated with AD/ADRD and non-AD/ADRD mortality.

HIGHLIGHTS

Type 2 diabetes mellitus is more strongly associated with Alzheimer's disease (AD)/AD and related dementias (ADRD) mortality compared to the competing risk of non-AD/ADRD mortality among postmenopausal women. This relationship was consistent for AD and ADRD, respectively. This association is strongest among participants without obesity or hypertension and with younger age at baseline, higher diet quality, higher physical activity, higher alcohol consumption, and older age at the time of diagnosis of type 2 diabetes mellitus.

Psychosocial Care for People With Diabetic Neuropathy: Time for Action

Psychological factors and psychosocial care for individuals with diabetic neuropathy (DN), a common and burdensome complication of diabetes, are important but overlooked areas. In this article we focus on common clinical manifestations of DN, unremitting neuropathic pain, postural instability, and foot complications, and their psychosocial impact, including depression, anxiety, poor sleep quality, and specific problems such as fear of falling and fear of amputation. We also summarize the evidence regarding the negative impact of psychological factors such as depression on DN, self-care tasks, and future health outcomes. The clinical problem of underdetection and undertreatment of psychological problems is described, together with the value of using brief assessments of these in clinical care. We conclude by discussing trial evidence regarding the effectiveness of current pharmacological and nonpharmacological approaches and also future directions for developing and testing new psychological treatments for DN and its clinical manifestations.

Investigation of predictors of severity of diabetes complications among hospitalized patients with diabetes in Florida, 2016-2019

BACKGROUND

Severe diabetes complications impact the quality of life of patients and may lead to premature deaths. However, these complications are preventable through proper glycemic control and management of risk factors. Understanding the risk factors of complications is important in guiding efforts to manage diabetes and reduce risks of its complications. Therefore, the objective of this study was to identify risk factors of severe diabetes complications among adult hospitalized patients with diabetes in Florida.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Adapted Diabetes Complications Severity Index (aDCSI) scores were computed for 1,061,140 unique adult patients with a diagnosis of diabetes. Severe complications were defined as those with an aDCSI ≥ 4. Population average models, estimated using generalized estimating equations, were used to identify individual- and area-level predictors of severe diabetes complications.

RESULTS

Non-Hispanic Black patients had the highest odds of severe diabetes complications compared to non-Hispanic White patients among both males (Odds Ratio [OR] = 1.20, 95% Confidence Interval [CI]: 1.17, 1.23) and females (OR = 1.27, 95% CI: 1.23, 1.31). Comorbidities associated with higher odds of severe complications included hypertension (OR = 2.30, 95% CI: 2.23, 2.37), hyperlipidemia (OR = 1.29, 95% CI: 1.27, 1.31), obesity (OR = 1.24, 95% CI: 1.21, 1.26) and depression (OR = 1.09, 95% CI: 1.07, 1.11), while the odds were lower for patients with a diagnosis of arthritis (OR = 0.81, 95% CI: 0.79, 0.82). Type of health insurance coverage was associated with the severity of diabetes complications, with significantly higher odds of severe complications among Medicare (OR = 1.85, 95% CI: 1.80, 1.90) and Medicaid (OR = 1.83, 95% CI: 1.77, 1.90) patients compared to those with private insurance. Residing within the least socioeconomically deprived ZIP code tabulation areas (ZCTAs) in the state had a protective effect compared to residing outside of these areas.

CONCLUSIONS

Racial, ethnic, and socioeconomic disparities in the severity of diabetes complications exist among hospitalized patients in Florida. The observed disparities likely reflect challenges to maintaining glycemic control and managing cardiovascular risk factors, particularly for patients with multiple chronic conditions. Interventions to improve diabetes management should focus on populations with disproportionately high burdens of severe complications to improve quality of life and decrease premature mortality among adult patients with diabetes in Florida.

Feasibility of a food-based diabetes self-management education intervention for food insecure patients with type 2 diabetes: a convergent mixed methods study

OBJECTIVE

To assess the feasibility of a food-based diabetes self-management education and support (DSMES) intervention delivered to persons with type 2 diabetes (T2DM) and food insecurity.

DESIGN

This single arm pre-/post convergent mixed methods study tested the feasibility of a 3-month intervention using food boxes, recipes, DSMES and dietitian visits. Feasibility benchmarks assessed were acceptability (> 50 % participants satisfied), demand (> 50 % used program components) and implementation (75 % adherence, 80 % retention). Assessments included: self-reported food security, health-related quality of life, diabetes self-efficacy, socio-demographic and dietary intake, height, weight, and HbA1c and one in-depth interview with participants and key staff. Enrollment, recruitment and retention rates were summarised; qualitative data were analysed using structured thematic analysis (participant interviews) and key point summaries (staff interviews). Quantitative/qualitative data integration was conducted using a joint display.

SETTING

Food bank and Federally Qualified Health Center in the Southwestern U.S.

PARTICIPANTS

English- or Spanish-speaking adults with T2DM and food insecurity.

RESULTS

In total, 247 patients with T2DM and food insecurity were recruited, seventy-one expressed interest and twenty-five consented. Twenty-one participants completed study measurements. 71 % (n 15) received six home food deliveries and ≥ 1 dietitian visit. A priori benchmarks were approached or met within each feasibility criterion - most participants found the intervention to be acceptable, used most or all intervention components, and reported some challenges within intervention implementation (e.g. timing of food deliveries). Data integration provided deeper understanding of reported intervention implementation challenges, yet high adherence to the intervention.

CONCLUSIONS

The intervention was feasible. Next steps include a clinical trial to establish intervention efficacy.

Trends in Preventive Care Services Among U.S. Adults With Diagnosed Diabetes, 2008-2020

OBJECTIVE

Preventive care services are important to prevent or delay complications associated with diabetes. We report trends in receipt of six American Diabetes Association-recommended preventive care services during 2008-2020.

RESEARCH DESIGN AND METHODS

We used 2008-2020 data from the cross-sectional Medical Expenditures Panel Survey to calculate the proportion of U.S. adults ≥18 years of age with diagnosed diabetes who reported receiving preventive care services, overall and by subpopulation (n = 25,616). We used joinpoint regression to identify trends during 2008-2019. The six services completed in the past year included at least one dental examination, dilated-eye examination, foot examination, and cholesterol test; at least two A1C tests, and an influenza vaccine.

RESULTS

From 2008 to 2020, proportions of U.S. adults with diabetes receiving any individual preventive care service ranged from 32.6% to 89.9%. From 2008 to 2019, overall trends in preventive services among these adults were flat except for an increase in influenza vaccination (average annual percent change: 2.6% [95% CI 1.1%, 4.2%]). Trend analysis of subgroups was heterogeneous: influenza vaccination and A1C testing showed improvements among several subgroups, whereas cholesterol testing (patients aged 45-64 years; less than a high school education; Medicaid insurance) and dental visits (uninsured) declined. In 2020, 8.2% (95% CI 4.5%, 11.9%) of those with diabetes received none of the recommended preventive care services.

CONCLUSIONS

Other than influenza vaccination, we observed no improvement in preventive care service use among U.S. adults with diabetes. These data highlight services and specific subgroups that could be targeted to improve preventive care among adults with diabetes.

Obesity-Induced Hyperglycemia and Heart Failure Preserved Ejection Fraction: Uncharted Territories to Remission

Until the end of World War II, food security was a global challenge. Consequently, in 1948, type 2 diabetes was relatively uncommon, with the majority of cases being type 1 diabetes requiring insulin therapy. Since then, food has become increasingly palatable and readily available, leading to a rise in obesity across all age groups. Understanding the impact of obesity on our health has become crucial for optimizing healthcare. In this context, we draw attention to two significant, yet relatively uncharted pathogenic effects associated with obesity: Hyperglycemia and Heart Failure with Preserved Ejection Fraction (HFpEF). Thorough pathophysiologic, hemodynamic, and echocardiographic characterization have revealed the existence of a distinct phenotype known as "obese HFpEF" within the broader HFpEF population, and "obesity-induced hyperglycemia" within the diabetes population. In these phenotypes, patients often present with higher Body Mass Index and experience clinical symptoms decades earlier. Recent insights have enhanced our understanding of the mechanisms underlying obesity-mediated heart failure preserved ejection fraction and hyperglycemia. Early detection offers the potential for reversibility of many pathologies associated with obesity through adequate weight reduction. The objective of this review is to provide a deeper insight into these uncharted territories and explore the potential for improved outcomes by reframing these two narratives toward achieving remission. Such a shift has the potential to positively impact individual engagement with healthier lifestyles.

Zucker Diabetic-Sprague Dawley Rats Have Impaired Peri-Implant Bone Formation, Matrix Composition, and Implant Fixation Strength

An increasing number of patients with type 2 diabetes (T2DM) will require total joint replacement (TJR) in the next decade. T2DM patients are at increased risk for TJR failure, but the mechanisms are not well understood. The current study used the Zucker Diabetic-Sprague Dawley (ZDSD) rat model of T2DM with Sprague Dawley (SPD) controls to investigate the effects of intramedullary implant placement on osseointegration, peri-implant bone structure and matrix composition, and fixation strength at 2 and 10 weeks post-implant placement. Postoperative inflammation was assessed with circulating MCP-1 and IL-10 2 days post-implant placement. In addition to comparing the two groups, stepwise linear regression modeling was performed to determine the relative contribution of glucose, cytokines, bone formation, bone structure, and bone matrix composition on osseointegration and implant fixation strength. ZDSD rats had decreased peri-implant bone formation and reduced trabecular bone volume per total volume compared with SPD controls. The osseointegrated bone matrix of ZDSD rats had decreased mineral-to-matrix and increased crystallinity compared with SPD controls. Osseointegrated bone volume per total volume was not different between the groups, whereas implant fixation was significantly decreased in ZDSD at 2 weeks but not at 10 weeks. A combination of trabecular mineral apposition rate and postoperative MCP-1 levels explained 55.6% of the variance in osseointegration, whereas cortical thickness, osseointegration mineral apposition rate, and matrix compositional parameters explained 69.2% of the variance in implant fixation strength. The results support the growing recognition that both peri-implant structure and matrix composition affect implant fixation and suggest that postoperative inflammation may contribute to poor outcomes after TJR surgeries in T2DM patients. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Diabetes mellitus as a risk factor for postoperative complications following arthroscopic rotator cuff repair

Background

Patients with diabetes mellitus who undergo arthroscopic rotator cuff repair (aRCR) have an increased risk of postoperative complications when compared to nondiabetics. To further investigate these complications, we used a large national database to determine the 30-day postoperative complications associated with insulin-dependent and non-insulin-dependent diabetics following aRCR.

Methods

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients who underwent aRCR between 2015 and 2020. The study population was categorized into cohorts based on diabetes mellitus status: non-insulin-dependent diabetes mellitus (NIDDM), insulin-dependent diabetes mellitus (IDDM), and no diabetes. Multivariate analysis, adjusted for confounding demographics and comorbidities, was used to determine independently associated complications.

Results

There were 39,877 cases of aRCR in NQSIP included in this study. Diabetics comprised 6575 (16.7%) of these cases, with 4758 being NIDDM (11.9%) and 1817 being IDDM (4.6%). Bivariate logistic regression found both NIDDM and IDDM cohorts to be significantly associated with higher body mass index, ASA class ≥3, hypertension, chronic obstructive pulmonary disease, bleeding disorders, and preoperative wounds or infection (P < .001). NIDDM was an independently associated risk factor for sepsis (odds ratio [OR], 2.77; 95% confidence interval [CI]: 1.01-7.58; P = .047). IDDM was an independently associated risk factor for pneumonia (OR, 2.49; 95% CI: 1.13-5.48; P = .023), readmission (OR, 1.617; 95% CI: 1.19-2.33; P = .003), myocardial infarction (OR, 0.50; 95% CI: 0.12-1.00; P = .048), and on a ventilator >48 hours (OR, 5.63; 95% CI: 1.40-22.62; P = .015).

Conclusion

NIDDM is an independent risk factor for sepsis, while IDDM is an independent risk factor for pneumonia, readmission, myocardial infarction, and remaining on a ventilator for greater than 48 hours following aRCR.

Habit Formation Intervention to Improve Type 2 Diabetes Self-Management Behaviors: A Feasibility Study

IMPORTANCE

Self-management of lifestyle behaviors is the recommended focus for interventions to address Type 2 diabetes. Habit formation is an effective approach to changing personal behaviors, but evidence of success for Type 2 diabetes is limited.

OBJECTIVE

To examine the feasibility and preliminary effectiveness of occupation-based habit formation interventions for improving diabetes self-management behaviors.

DESIGN

Single-subject design with multiple participants providing 4 wk of baseline data followed by 10 wk of intervention data.

SETTING

Individual telehealth sessions.

PARTICIPANTS

Eight adults (ages 29-75 yr) with Type 2 diabetes, who had access to a telephone and who were not involved in other diabetes-related education or interventions voluntarily, enrolled into the study.

INTERVENTION

Participants engaged in 10 wk of habit formation intervention focused on four diabetes self-management domains: nutrition, blood glucose monitoring, medication management, and physical activity.

OUTCOMES AND MEASURES

Data gathered included findings on measures of diabetes self-care behaviors and habit formation.

RESULTS

There was a significant change in self-care behaviors for 6 of the 8 participants (p < .05 for 1 participant, and p < .01 for 5 participants). Group changes were statistically significant (p < .001). Habit strength significantly improved for all areas of diabetes self-management (p < .001 for nutrition, blood glucose monitoring, and medication management and p = .001 for physical activity).

CONCLUSIONS AND RELEVANCE

Findings suggest that the occupation-based intervention was feasible and showed promise for developing self-management behaviors. What This Article Adds: Habits are considered foundational to occupations, yet application of the science of habit formation is often not well understood by occupational therapists. This study considered the theoretical components of habit formation that have been neglected by prior studies and demonstrates the feasibility and preliminary effect estimates of a habit formation intervention when used with people with Type 2 diabetes.

Nanotargeted Delivery of Immune Therapeutics in Type 1 Diabetes

Immune therapeutics holds great promise in the treatment of type 1 diabetes (T1D). Nonetheless, their progress is hampered by limited efficacy, equipoise, or issues of safety. To address this, a novel and specific nanodelivery platform for T1D that targets high endothelial venules (HEVs) presented in the pancreatic lymph nodes (PLNs) and pancreas is developed. Data indicate that the pancreata of nonobese diabetic (NOD) mice and patients with T1D are unique in their expression of newly formed HEVs. Anti-CD3 mAb is encapsulated in poly(lactic-co-glycolic acid)-poly(ethylene glycol) nanoparticles (NPs), the surfaces of which are conjugated with MECA79 mAb that recognizes HEVs. Targeted delivery of these NPs improves accumulation of anti-CD3 mAb in both the PLNs and pancreata of NOD mice. Treatment of hyperglycemic NOD mice with MECA79-anti-CD3-NPs results in significant reversal of T1D compared to those that are untreated, treated with empty NPs, or provided free anti-CD3. This effect is associated with a significant reduction of T effector cell populations in the PLNs and a decreased production of pro-inflammatory cytokine in the mice treated with MECA79-anti-CD3-NPs. In summary, HEV-targeted therapeutics may be used as a means by which immune therapeutics can be delivered to PLNs and pancreata to suppress autoimmune diabetes effectively.

Racial, Ethnic, Nativity, and Educational Disparities in Cognitive Impairment and Activity Limitations in the United States, 1998-2016

Despite extensive research on cognitive impairment and limitations in basic activities of daily living, no study has investigated the burden of their co-occurrence (co-impairment). Using the Health and Retirement Study data and incidence-based multistate models, we study the population burden of co-impairment using three key indicators: mean age at onset, lifetime risk, and health expectancy. We examine patterns by gender, race, ethnicity, nativity, education, and their interactions for U.S. residents aged 50-100. Furthermore, we analyze what fractions of racial, ethnic, and nativity disparities in co-impairment are attributable to inequalities in educational attainment. Results reveal that an estimated 56% of women and 41% of men aged 50 will experience co-impairment in their remaining life expectancy. Men experience an earlier onset of co-impairment than women (74 vs. 77 years), and women live longer in co-impairment than men (3.4 vs. 1.9 years). Individuals who are Black, Latinx, and lower educated, especially those experiencing intersecting disadvantages, have substantially higher lifetime risk of co-impairment, earlier co-impairment onset, and longer life in co-impairment than their counterparts. Up to 75% of racial, ethnic, and nativity disparity is attributable to inequality in educational attainment. This study provides novel insights into the burden of co-impairment and offers evidence of dramatic disparities in the older U.S. population.

Geographic variation in diabetic retinopathy screening within the Veterans Health Administration

AIMS

Diabetic retinopathy (DR) remains the leading cause of vision impairment among working-age adults in the United States. The Veterans Health Administration (VA) supplemented its DR screening efforts with teleretinal imaging in 2006. Despite its scale and longevity, no national data on the VA's screening program exists since 1998. Our objective was to determine the influence of geography on diabetic retinopathy screening adherence.

METHODS

Setting: VA national electronic medical records.

STUDY POPULATION

A national cohort of 940,654 veterans with diabetes (defined as two or more diabetes ICD-9 codes (250.xx)) without a history of DR.

EXPOSURES

125 VA Medical Center catchment areas, demographics, comorbidity burden, mean HbA1c levels, medication use and adherence, as well as utilization and access metrics.

MAIN OUTCOME MEASURE

Screening for diabetic retinopathy within the VA medical system within a 2-year period.

RESULTS

Within a 2-year time frame 74 % of veterans without a history of DR received retinal screenings within the VA system. After adjustment for age, gender, race-ethnic group, service-connected disability, marital status, and the van Walraven Elixhauser comorbidity score, the prevalence of DR screening varied by VA catchment area with values ranging from 27 % to 86 %. These differences persisted after further adjusting for mean HbA1c level, medication use and adherence as well as utilization and access metrics.

CONCLUSIONS

The wide variability in DR screening across 125 VA catchment areas indicates the presence of unmeasured determinants of DR screening. These results are relevant to clinical decision making in DR screening resource allocation.

Usual dietary fibre intake according to diabetes status in USA adults - NHANES 2013-2018

It is unknown if fibre intake differs across diabetes status in USA adults and is associated with glycaemic outcomes. This cross-sectional analysis utilised National Health and Nutrition Examination Survey cycles 2013-2018 data to estimate usual total dietary fibre intake in USA adults and across diabetes status (no diabetes, prediabetes and type II diabetes (T2D)). Associations among dietary fibre intake and glycaemic outcomes were also reported across groups. Adults (≥ 19 years) with at least one dietary recall were included. Diabetes status was determined from self-report data and measured HbA1c. Independent samples t tests were used to compare mean (se) intake across sub-populations. 14 640 adults (51·3 % female) with 26·4 % and 17·4 % classified as having prediabetes and T2D, respectively. Adults with T2D reported greater mean (se) dietary fibre intake compared with no T2D for females (9·5 (0·13) v. 8·7 (0·11) g/1000 kcal/d and males (8·5 (0·12) v. 7·7 (0·11) g/1000 kcal/d; P < 0·01)). However, only 4·2 (0·50)% and 8·1 (0·90)% of males and females with T2D, respectively, met the adequate intake for fibre. Fibre intake was associated with lower insulin (β = -0·80, P < 0·01), serum glucose (β = -1·35, P < 0·01) and Homeostatic Model Assessment for Insulin Resistance (β = -0·22, P < 0·01) in adults without diabetes, and no relationships in adults with prediabetes or T2D were found. Although dietary fibre intake was highest among adults with T2D, intake was suboptimal across all groups. In adults without diabetes, dietary fibre intake was associated with improved glycaemic outcomes and insulin resistance; however, these associations were attenuated by anthropometric and lifestyle covariates.

Regulation of Human Sortilin Alternative Splicing by Glucagon-like Peptide-1 (GLP1) in Adipocytes

Type 2 diabetes mellitus is a chronic metabolic disease with no cure. Adipose tissue is a major site of systemic insulin resistance. Sortilin is a central component of the glucose transporter -Glut4 storage vesicles (GSV) which translocate to the plasma membrane to uptake glucose from circulation. Here, using human adipocytes we demonstrate the presence of the alternatively spliced, truncated sortilin variant (Sort_T) whose expression is significantly increased in diabetic adipose tissue. Artificial-intelligence-based modeling, molecular dynamics, intrinsically disordered region analysis, and co-immunoprecipitation demonstrated association of Sort_T with Glut4 and decreased glucose uptake in adipocytes. The results show that glucagon-like peptide-1 (GLP1) hormone decreases Sort_T. We deciphered the molecular mechanism underlying GLP1 regulation of alternative splicing of human sortilin. Using splicing minigenes and RNA-immunoprecipitation assays, the results show that GLP1 regulates Sort_T alternative splicing via the splice factor, TRA2B. We demonstrate that targeted antisense oligonucleotide morpholinos reduces Sort_T levels and improves glucose uptake in diabetic adipocytes. Thus, we demonstrate that GLP1 regulates alternative splicing of sortilin in human diabetic adipocytes.

Design and Implementation of the Diabetes Impact Project: A Multisector Partnership to Reduce Diabetes Burden in Indianapolis Communities

CONTEXT

Community-level health disparities have not arisen suddenly but are the result of long-term systemic inequities. This article describes the design and implementation of a community-engaged multisector partnership to address health disparities by reducing the diabetes burden in 3 Indianapolis communities through the implementation of evidence-based strategies across the prevention continuum.

PROGRAM

The project has 5 foundational design principles: engage partners from multiple sectors to address community health, focus on geographic communities most affected by the health disparity, practice authentic community engagement, commit for the long term, and utilize a holistic approach spanning the prevention continuum.

IMPLEMENTATION

The design principles are incorporated into the following project components in each community: (1) health system community health workers (hCHWs), (2) neighborhood CHWs (nCHWs), (3) community health promotion initiatives, and (4) resident steering committees, as well as a backbone organization responsible for overall coordination, project communication, evaluation, and partnership coordination.

EVALUATION

This complex multilevel intervention is being evaluated using data sources and methodologies suited to each project component and its purpose overall. Each component is being evaluated independently and included holistically to measure the impact of the project on the health and culture of health in the communities. Key Performance Indicators were established upon project initiation as our common metrics for the partnership. Because complex interventions aiming at population-level change take time, we evaluate Diabetes Impact Project-Indianapolis Neighborhoods (DIP-IN), assuming its impact will take many years to achieve.

DISCUSSION

Health disparities such as the diabetes prevalence in project communities have not arisen suddenly but are the result of long-term systemic inequities. This complex issue requires a complex holistic solution with long-term commitment, trusted partnerships, and investment from diverse sectors as seen in this project. Implications for policy and practice include the need to identify stable funding mechanisms to support these types of holistic approaches.