Economic costs of diabetes in the U.S. in 2012

Correlation Between Bacteria Count Using a Rapid Bacterium Counting System and Changes in Wound Area on Diabetic Foot Ulcers in Indonesia: A Prospective Study

This study aimed to clarify the correlation between changes in bacterial number and wound area in diabetic foot ulcers (DFUs). This study used a prospective longitudinal cohort design. A total of 30 participants met the inclusion criteria. Changes in bacterial number and wound area were evaluated weekly until week 4. The chi-square test indicated no significant correlation between biofilm formation and wound area (p = 0.32) but a significant correlation between bacterial count and wound area (p = 0.05). Logistic regression analysis showed a significant correlation between bacterial count and changes in wound area (odds ratio, 0.60; 95% confidence interval [CI], 0.372-0.997; p = 0.04). The receiver operating characteristic analysis showed an area under the curve of 0.660 (95% CI, 0.52-0.79; p = 0.03) with a sensitivity of 97% and specificity of 88%. The present prospective longitudinal cohort study demonstrated the correlation between bacterial count changes and wound area in DFUs. Our results suggest that changes in bacterial count could help wound healing evaluations.

The effects of Vietnam-era military service on the long-term health of veterans: A bounds analysis

We analyze the short- and long-term effects of the U.S. Vietnam-era military service on veterans' health outcomes using a restricted version of the National Health Interview Survey 1974-2013 and employing the draft lotteries as an instrumental variable. We conduct inference on the health effects of military service for individuals who comply with the draft-lotteries assignment (the "compliers"), as well as for those who volunteer for enlistment (the "always takers"). The causal analysis for volunteers, who represent over 70% of veterans, is novel in this literature that typically focuses on the compliers. Since the effect for volunteers is not point-identified, we employ sharp nonparametric bounds that rely on a mild mean weak monotonicity assumption. We examine a large array of health outcomes and behaviors, including mortality, up to 38 years after the end of the Vietnam War. We do not find consistent statistical evidence of detrimental health effects on compliers, in line with prior literature. For volunteers, however, we document that their estimated bounds show statistically significant detrimental health effects that appear around 10 years after the end of the conflict. As a group, veterans experience similar statistically significant detrimental health effects from military service. These findings have implications for policies regarding compensation and health care of veterans after service.

Role of therapeutic treatment with antiseptic solutions in the care of diabetic foot ulcers

BACKGROUND

Diabetic foot ulcers (DFUs) are a prevalent and severe complication of diabetes, leading to significant morbidity, impaired health-related quality of life (HRQoL) and economic burden on healthcare systems. The complexity of DFUs often results in prolonged healing and high recurrence rates. Effective management strategies are crucial for improving outcomes and reducing complications.

AIM

This study aimed to review the efficacy of antiseptic solutions in the treatment and care of DFUs.

METHOD

A literature analysis was conducted to review clinical studies and guidelines on the use and efficacy of antiseptic solutions, particularly Octenisept® (0.1% octenidine dihydrochloride and 2% 2-phenoxyethanol). The review focused on the antimicrobial properties, biofilm-disruption capabilities and wound healing outcomes associated with the use of antiseptic solutions in DFU management.

RESULTS

Antiseptic solutions have potential to reduce bioburden, disrupt biofilm and modulate healing. There is a need to balance antimicrobial clinical efficacy with tolerability and cytotoxicity. The use and choice of adjunctive antiseptic solutions must be tailored to the patient, as antimicrobial efficacy can vary for antiseptic solutions, particularly for hypochlorous solutions. It is important to use products according to their instructions, with consideration of minimum contact time to maximise clinical efficacy. Low-pressure irrigation is adjunctive, and concurrent wound-bed preparation, including debridement, frequent inspection, infection and moisture control, remain important.

CONCLUSIONS

The therapeutic application of antiseptic solutions in DFU care presents a promising approach to enhancing wound healing and reducing infection risks. Integrating these solutions into standard wound care protocols could lower the incidence of complications, improve HRQoL and decrease the economic burden associated with diabetic foot disease. Further large-scale studies are recommended to validate these findings and refine guidelines for antiseptic use in DFU management.

Prevalence of Chronic Disease and Cost Effectiveness of a Free Clinic

Free clinics are a widespread, yet limited research has examined the health status of people served and the cost effectiveness of free clinics. The purpose of this study was to describe the sociodemographic characteristics and prevalence of chronic conditions in patients seen at a free clinic and estimate the clinic's cost-effectiveness. The study was a retrospective chart review of 350 randomly selected paper medical charts (2009-2020) and 1,676 electronic medical records (2020-2022) at the Noor free clinic in California supported by private donors, non-profits, and foundations. Cost-effectiveness was calculated from annual clinic operating costs, services provided, quality-adjusted life years (QALYs) saved, and projected savings from preventing emergency department visits. Of the 350 paper charts reviewed, 336 met inclusion criteria. Patients had an average age of 46.6 years, with most identifying as female (60%), Hispanic (69%), Spanish-speaking (62%), and employed (59%). About 64% had incomes below the federal poverty line. Chronic conditions included overweight/obesity (75%), chronic pain (46%), hypertension (28%), hyperlipidemia (24%), type 2 diabetes (24%), and mood disorders (23%). A quarter of patients had at least one chronic condition, and over half had multiple conditions. The clinic's services in 2022 resulted in an estimated 146 QALYs saved, $11.5 million in cost savings, and a return on investment of $13.18 per $1 invested. The free clinic provided medical care to low-income, Hispanic populations without insurance who historically have been disenfranchised from healthcare access. Cost-effectiveness analysis suggested that it provided significant health benefits and cost savings.

Learning from the machine: is diabetes in adults predicted by lifestyle variables? A retrospective predictive modelling study of NHANES 2007-2018

OBJECTIVES

This study aimed to compare the performance of five machine learning algorithms to predict diabetes mellitus based on lifestyle factors (diet and physical activity).

DESIGN

Retrospective cross-sectional predictive modelling study.

SETTING

This study was conducted using publicly available data from the National Health and Nutrition Examination Survey (NHANES), a nationally representative survey designed to assess the health and nutritional status of the US population.

PARTICIPANTS

We analysed data from 29 509 non-pregnant adults who participated in NHANES between 2007 and 2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was the prediction of type 2 diabetes mellitus (T2DM) by self-reported responses based on machine learning models. The performance of five machine learning algorithms (logistic regression, support vector machine, random forest, XGBoost and CatBoost) was evaluated using accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristic curve (AUC). The secondary outcome measures were feature importance and model performance comparison.

RESULTS

XGBoost exhibited the highest overall predictive performance (AUC 0.8168), followed by random forest and logistic regression (AUCs around 0.79). In terms of accuracy, logistic regression, XGBoost and random forest performed similarly at approximately 85%. While most models demonstrated high specificity (>97%), the SVM stood out for having the highest sensitivity (58.57%), although with a lower accuracy (62.44%). This trade-off underscores the strength of SVM in identifying more true-positive cases, though at the cost of lower overall classification precision. The random forest model, despite having lower sensitivity (7.15%), provided one of the most balanced performances in terms of specificity and interpretability.

CONCLUSION

The results support the use of machine learning models, particularly XGBoost, for early identification of individuals at risk for T2DM. Despite their limited sensitivity, the high specificity and accuracy underscore these models' potential for non-invasive risk assessment. This study is innovative in its integration of machine learning algorithms to predict type 2 diabetes based solely on non-invasive, easily accessible lifestyle and anthropometric variables, demonstrating the potential of data-driven models for early risk assessment without requiring laboratory tests. Despite the lower sensitivity observed in most models, their high specificity makes them valuable for early screening in clinical and public health settings, where they can be complemented with follow-up assessments or ensemble approaches that optimise the balance between sensitivity and specificity for improved risk stratification.

Randomized Study Comparing Continuous Glucose Monitoring and Capillary Glucose Testing in Patients With Type 2 Diabetes After Hospital Discharge

OBJECTIVE

The benefits of continuous glucose monitoring (CGM) in managing hyperglycemia in hospitalized patients with type 2 diabetes (T2D) have been documented in observation and intervention clinical studies. However, the benefits of CGMs after hospital discharge in improving the care of patients with T2D remain unknown.

METHODS

This pilot randomized clinical trial aimed to compare the effectiveness and safety of using the FreeStyle Libre 2 CGM vs capillary point-of-care (POC) glucose testing (standard of care) in insulin-treated patients with T2D for up to 12 weeks after hospital discharge. We assessed safety (hypoglycemia), efficacy (mean daily glucose), and healthcare utilization (emergency room visits and hospital admissions) associated with the use of FreeStyle Libre 2 CGM compared to capillary POC testing following hospital discharge.

RESULTS

Among 100 participants (mean age 54.3 ± 10.7 years, HbA1c 10.46 ± 2.24%, median diabetes duration of 9.0 years, IQR 1.0, 42), there were no significant differences in baseline clinical characteristics between the groups at discharge. We observed a trend toward improved glycemic control in the CGM group, including increased time in range 70-180 mg/dl, reduced time above range > 180 and 250 mg/dl, and decreased hypoglycemia and insulin requirements after discharge compared to the POC group. There were no differences in emergency room visits or hospitalization between the study groups.

CONCLUSION

The results of this pilot study indicate that the use of CGM leads to improved glycemic control, reduced hypoglycemia, and decreased glucose variability compared to POC glucose testing after hospital discharge.

Cytokine Signaling in Diabetic Neuropathy: A Key Player in Peripheral Nerve Damage

Diabetic peripheral neuropathy (DPN) is a debilitating complication of diabetes mellitus, characterized by progressive nerve damage driven by chronic hyperglycemia and systemic inflammation. The pathophysiology of DPN is significantly influenced by pro-inflammatory cytokines, such as IL-1β, IL-6, and TNF-α. These cytokines promote oxidative stress, vascular dysfunction, and neuronal degeneration by activating important signaling pathways including NF-κB and MAPK. While IL-6 promotes a pro-inflammatory microenvironment, increasing neuronal damage and neuropathic pain, TNF-α and IL-1β worsen Schwann cell failure by compromising axonal support and causing demyelination. Immune cell infiltration and TLR activation increase the inflammatory cascade in DPN, resulting in a persistent neuroinflammatory state that sustains peripheral nerve injury. The main characteristics of DPN are axonal degeneration, decreased neurotrophic support, and Schwann cell dysfunction, which weaken nerve transmission and increase susceptibility to damage. Advanced glycation end-products, TNF-α, and CXCL10 are examples of biomarkers that may be used for early diagnosis and disease progression monitoring. Additionally, crucial molecular targets have been found using proteomic and transcriptome techniques, enabling precision medicine for the treatment of DPN. This review emphasizes the importance of cytokine signaling in the pathogenesis of DPN and how cytokine-targeted treatments might reduce inflammation, restore nerve function, and improve clinical outcomes for diabetic patients.

Effects of multisystem exercises on balance, postural stability, mobility, walking speed, and pain in patients with diabetic peripheral neuropathy: a randomized controlled trial

BACKGROUND

Diabetic peripheral neuropathy (DPN), a common complication of diabetes mellitus, is associated with peripheral nerve damage, leading to balance impairments, postural instability, and reduced mobility. Addressing these challenges requires comprehensive interventions that target multiple deficits simultaneously. Evidence suggests that exercise programs combining balance, proprioception, strength, and reaction time training can improve postural stability, enhance mobility, and alleviate pain in individuals with DPN.

OBJECTIVE

The objective of this study was to compare the effects of multisystem exercises and conventional exercises on balance, postural stability, mobility, and walking speed and to reduce pain in patients with diabetic peripheral neuropathy.

METHODS

This double-blinded, two-arm parallel design randomized controlled trial was conducted at DHQ Hospital, Pakpattan, Pakistan. A total of 50 participants who met the inclusion criteria were recruited using the nonprobability convenience sampling technique. They were randomly assigned to either a multisystem physical exercise (MPE) group (n = 26) and a conventional exercise group (n = 24). The MPE program included balance, proprioception, strength, and reaction time training, while the control group received conventional exercises, consisted of strength, balance, stretching, and range of motion exercises. Both groups underwent 30 min intervention sessions, 3 times per week, for 8 weeks. The outcome measures used for assessing the balance, postural stability, mobility, and pain included the Berg balance scale (BBS), functional reach test (FRT), time up and go test (TUG), 10 min walk test (10-MWT), and numeric pain rating scale (NPRS). The data was analyzed using SPSS version 26.

RESULTS

Significant group and time interactions were observed for all outcome measures including BBS, FRT, TUG, 10-MWT, and NPRS (p < 0.001). The between-group analysis also revealed significant differences between the multisystem physical exercise group and the conventional exercise group at both the 4th week and 8th week for BBS, FRT, TUG, 10-MWT, and NPRS (p < 0.05).

CONCLUSION

The study concluded that multisystem exercises resulted in significant improvement in balance, postural stability, mobility, and walking speed, along with reduction in pain, compared to conventional exercises in patients with diabetic peripheral neuropathy.

TRIAL REGISTRATION

This randomized controlled study was registered prospectively on November 11th, 2023 with the ClinicalTrials.gov (NCT06130917).

The Burden of Diabetic Foot Ulcers on Hospital Admissions and Costs in Romania

Background/Objectives: Diabetic foot ulcers represent an important economic burden for healthcare systems worldwide. We aimed to analyze the costs of care for diabetic foot ulcers (DFUs) associated with peripheral neuropathy (DPN) and peripheral arterial disease (PAD) and their trends in a tertiary-care hospital. Methods: We used data from the electronic system of the Emergency Clinical County Hospital Cluj-Napoca, Romania. We included all episodes of hospitalization with a discharge date between 1 January 2015 and the 31 December 2018 and a discharge diagnosis of type 1 or type 2 diabetes, DPN, PAD, and foot ulcers. Results: During the analyzed period, 1094 episodes of hospitalization with type 1 or type 2 diabetes and DFUs were recorded. Of these, 25.9% had neuropathic, 47.1% ischemic, and 16.6% neuroischemic DFUs. The median length of hospital stay was 8.0 days, and the median cost per episode of hospitalization was 810.8 EUR, with no significant variations during the analyzed years. The cost per episode of hospitalization was higher in cases with ischemic DFUs than for other etiologies of foot ulcers for 2015-2017 (p < 0.001). In 2018, the costs for ischemic and neuroischemic DFUs were similar and significantly higher compared to neuropathic ones. Predictors of higher costs per episode of hospitalization included the etiology of the DFUs (β = 0.032, p = 0.034) and the length of hospital stay (β = 0.860, p < 0.001). Conclusions: By analyzing data from a tertiary care hospital, we showed higher costs for the care of persons with ischemic DFU.

Enhanced dynorphin expression and secretion in pancreatic beta-cells under hyperglycemic conditions

OBJECTIVE

Dynorphin, an endogenous opioid peptide predominantly expressed in the central nervous system and involved in stress response, pain, and addiction, has intrigued researchers due to its expression in pancreatic β-cells. In this study, we aimed to characterize dynorphin expression in mouse and human islets and explore the mechanisms regulating its expression.

METHODS

We used primary mouse and human islets with unbiased published datasets to examine how glucose and other nutrients regulate dynorphin expression and secretion in islets.

RESULTS

The prodynorphin gene is significantly upregulated in β-cells under hyperglycemic conditions. In vitro studies revealed that increased glucose concentrations correlate with increased dynorphin expression, indicating a critical interplay involving Ca2+, CamKII, and CREB pathways in β-cells. Perifusion studies allowed us to measure the dynamic secretion of dynorphin in response to glucose from mouse and human islets for the first time. Furthermore, we confirmed that increased dynorphin content within the β-cells directly correlates with enhanced dynorphin secretion. Finally, our findings demonstrate a synergistic effect of palmitate in conjunction with high glucose, further amplifying dynorphin levels and secretion in pancreatic islets.

CONCLUSIONS

This study demonstrates that the opioid peptide prodynorphin is expressed in mouse and human β-cells. Prodynorphin levels are regulated in parallel with insulin in response to glucose, palmitate, and amino acids. Our findings elucidate the signaling pathways involved, with CamKII playing a key role in regulating prodynorphin levels in β-cells. Finally, our findings are the first to demonstrate active dynorphin secretion from mouse and human islets in response to glucose.

Characterization of cognitive decline in long-duration type 1 diabetes by cognitive, neuroimaging, and pathological examinations

BACKGROUNDWe aimed to characterize factors associated with the under-studied complication of cognitive decline in aging people with long-duration type 1 diabetes (T1D).METHODSJoslin "Medalists" (n = 222; T1D ≥ 50 years) underwent cognitive testing. Medalists (n = 52) and age-matched nondiabetic controls (n = 20) underwent neuro- and retinal imaging. Brain pathology (n = 26) was examined. Relationships among clinical, cognitive, and neuroimaging parameters were evaluated.RESULTSCompared with controls, Medalists had worse psychomotor function and recall, which associated with female sex, lower visual acuity, reduced physical activity, longer diabetes duration, and higher inflammatory cytokines. On neuroimaging, compared with controls, Medalists had significantly lower total and regional brain volumes, equivalent to 9 years of accelerated aging, but small vessel disease markers did not differ. Reduced brain volumes associated with female sex, reduced psychomotor function, worse visual acuity, longer diabetes duration, and higher inflammation, but not with glycemic control. Worse cognitive function, lower brain volumes, and diabetic retinopathy correlated with thinning of the outer retinal nuclear layer. Worse baseline visual acuity associated with declining psychomotor function in longitudinal analysis. Brain volume mediated the association between visual acuity and psychomotor function by 57%. Brain pathologies showed decreased volumes, but predominantly mild vascular or Alzheimer's-related pathology.CONCLUSION To our knowledge, this is the first comprehensive study of cognitive function, neuroimaging, and pathology in aging T1D individuals demonstrated that cognitive decline was related to parenchymal rather than neurovascular abnormalities, unlike type 2 diabetes, suggestive of accelerated aging in T1D. Improving visual acuity could perhaps be an important preventive measure against cognitive decline in people with T1D.FUNDINGThe Beatson Foundation, NIH/NIDDK grants 3P30DK036836-34S1 and P30DK036836-37, and Mary Iacocca fellowships.

C-reactive protein promotes diabetic kidney disease via Smad3-mediated NLRP3 inflammasome activation

Diabetic kidney disease (DKD) is the leading cause of end-stage kidney diseases resulting in enormous socio-economic burden. Accumulated evidence has indicated that C-reactive protein (CRP) exacerbates DKD by enhancing renal inflammation and fibrosis through TGF-β/Smad3 signaling. NLRP3 inflammasome is the key sensor contributing to renal inflammation. However, whether CRP enhances inflammation in DKD via NLRP3 inflammasome-related pathway remains unknown. In this study, we demonstrate that CRP promotes DKD via Smad3-mediated NLRP3 inflammasome activation as mice overexpressing human CRP gene exhibits accelerated renal inflammation in diabetic kidneys, which is associated with the activation of Smad3 and NLRP3 inflammasomes. In contrast, blockade of CPR signaling with a neutralizing anti-CD32 antibody attenuates CRP-induced activation of Smad3 and NLRP3 in vitro. Importantly, genetic deletion or pharmacological inhibition of Smad3 also mitigates CRP-induced activation of NLRP3 in diabetic kidneys or in high glucose-treated cells. Mechanistically, we reveal that Smad3 binds to the NLRP3 gene promoter, which is enhanced by CRP. Taken together, we conclude that CRP induces renal inflammation in DKD via a Smad3-NLRP3 inflammasome-dependent mechanism. Thus, targeting CRP or Smad3-NLRP3 pathways may be a new therapeutic potential for DKD.

Economic burden of Type 2 diabetes in Iran in 2022

BACKGROUND

Diabetes mellitus, particularly Type 2 diabetes (T2D), represents a significant global health challenge, with its prevalence steadily rising over the past few decades. This study was conducted with the aim of estimating the economic burden of T2D in Iran.

METHODS

This study employed a prevalence-based approach to estimate the economic burden of T2D and its attributable complications in adults above 20 years old in Iran for 2022. Both direct medical costs and indirect costs were considered in our analysis. Direct medical costs included inpatient and outpatient costs attributable to T2D and its complications, while indirect costs encompassed absenteeism, presenteeism, inability to work, and premature mortality costs due to the disease.

RESULTS

The findings showed that a total of 5,702,547 people, equivalent to 14.2% of Iranian adults, had T2D. The estimated total direct medical cost of T2D and its attributable complications in Iran in 2022 was 1,879.2 million US dollars (US$-PPP 6,676.9 million). Chronic kidney disease accounted for the largest proportion, followed by ischemic heart disease (IHD), and T2D itself. The total economic burden of T2D and its attributable complications in Iran in 2022, was estimated to be $2,905.7 million US dollars (US$-PPP 10,324.2 million). The direct medical cost constituted the majority of the economic burden (64.7%), while the inability to work due to these health conditions also contributes significantly (28.6%). Absenteeism (2.9%), presenteeism (1.7%), and premature mortality (2.2%) make up smaller proportions of the overall economic impact of T2D and its complications in Iran during that year.

CONCLUSION

Our study highlights the significant and diverse economic impact of T2D and its complications in Iran. This burden encompasses not only healthcare-related expenses but also negative impacts on society and productivity, as well as the occurrence of early death. To successfully address this burden, a comprehensive strategy is needed, which includes programs to prevent diabetes, better access to healthcare services, and increased social support for individuals with this long-term condition.

Diabetic Retinopathy - Pathophysiology to Treatment: A Review

Diabetic retinopathy (DR) is a microvascular disease affecting the eyes of diabetic patients, and is the most prevalent complication of diabetes mellitus. Vision improvement is not possible in the majority of DR patients. Several studies have indicated that microvascular changes, inflammation, oxidative stress, and retinal neurodegeneration are involved in the pathogenesis of DR. Therefore, there is an urgent need for the development of new and effective treatment for DR. Understanding the molecular mechanisms involved in the pathogenesis of disease will pave a way for better treatment and management of DR. This article has emphasized the molecular pathogenesis and treatment of DR.

Identification of TIGAR, a direct proteomic target associated with the hypoglycemic effect of Berberine

Diabetes mellitus is a global chronic metabolic disease and the prevalence of diabetes mellitus is increasing dramatically every year. Berberine (BBR) from Coptidis Rhizoma has potent hypoglycemic effects, however, the specific proteins targeted by berberine that contribute to its hypoglycemic action remain to be elucidated. In this work, TIGAR (TP53-induced glycolysis and apoptosis regulator) was identified as a direct target protein for berberine using activity-based protein profiling (ABPP) and other chemical proteomics techniques with active photoaffinity probes as chemical tools. In addition, the study revealed that berberine-targeted TIGAR attenuated the conversion of fructose-2, 6-bisphosphate to fructose-6-phosphate. This study demonstrated an innovative mechanism by which berberine directly targets TIGAR and its hypoglycemic effects. Therefore, TIGAR emerges as a novel target for the treatment of diabetes mellitus, with TIGAR inhibitors offering a new and promising therapeutic strategy for managing the disease.

Comparing Teleretinal Screening-Identified Diabetic Retinopathy With Diabetic Nephropathy and Other Markers of Systemic Disease

PURPOSE

Diabetic retinopathy and diabetic nephropathy are two major life-altering complications of diabetes mellitus. Identifying permissive and protective factors for diabetic retinopathy and nephropathy is imperative so that diabetic quality of life can be optimized and downstream complications can be minimized.

METHODS

We performed a large retrospective chart review of 997 patients at a county medical center with a majority Hispanic population. Through multivariable regression analysis, we identified significant factors associated with the presence of diabetic retinopathy or diabetic nephropathy. We also identified patients with a discordance between diabetic control and the severity of diabetic retinopathy and nephropathy.

RESULTS

Chronic kidney disease, baseline HbA1c, and systolic blood pressure were found to be positive risk factors for both diabetic retinopathy and diabetic nephropathy. Beta-blocker use and insulin use were identified as positive risk factors for diabetic retinopathy but not diabetic nephropathy. A higher body metabolic index (BMI) was found to be protective for diabetic retinopathy. We identified 7 patients with poor diabetic control (HbA1c >10%) but no diabetic retinopathy. There were no outlier patients found in the low glycemic exposure group.

CONCLUSIONS AND IMPORTANCE

Our results are similar to other large-cohort reviews identifying factors associated with diabetic retinopathy and nephropathy. We identified a small cohort with discordance between diabetic control and the development of diabetic retinopathy or nephropathy. Future studies should be conducted looking into reasons for the anomalous progression of disease in certain patients.

Sanctuary policies and type 2 diabetes medication prescription trends among community health center patients

Immigrants in the United States are at increased risk of diabetes-related complications due to delayed diagnoses compared with US-born individuals. Immigration-related federal policies may support immigration enforcement activities and restrict some immigrants' access to health insurance and other publicly funded resources. Conversely, state and county-level sanctuary policies may reduce the fear of deportation and increase mobility in the community, improving the accessibility of essential pharmacological treatment for type 2 diabetes patients. This retrospective cohort study estimated the odds of receiving glucose-lowering medication prescriptions by the county's sanctuary policy environment for patients within a nationwide network of community health centers. We did not find statistically significant associations between sanctuary policies and annual prescription rates. The associations were not modified by nativity or race/ethnicity. Notably, compared to US-born patients, immigrants had higher odds of receiving prescriptions regardless of the sanctuary policy environment, emphasizing other potential influences on the receipt of anti-diabetes prescriptions for community health center patients.

"A systematic literature review of the epidemiology, clinical, economic and humanistic burden in recurrent respiratory papillomatosis"

INTRODUCTION

Recurrent respiratory papillomatosis (RRP) is a chronic disease caused by human papillomavirus (HPV), characterized by recurrent papillomas in the respiratory tract. Presenting as either juvenile-onset RRP (JoRRP) or adult-onset RRP (AoRRP), the severity of the disease is subjective and unpredictable. Lack of curative therapies necessitates disease management involving repeated surgical removal of lesions. The review aimed to assess the clinical, humanistic and economic burden associated with RRP.

METHODS

Systematic literature reviews of Embase®, MEDLINE® and Cochrane databases were conducted for epidemiology, clinical, humanistic, and economic burden, from database inception to November 30, 2022. Conference abstracts were also searched (2019-2022). Key inclusion criteria consisted of juveniles or adults with RRP/laryngeal papillomatosis, with no restriction on study country, interventions, or comparators. Outcomes of interest included incidence, prevalence, risk factors, symptomatic presentation, HPV genotype, cost burden, resource use and health related quality of life (HRQoL).

RESULTS

In JoRRP, the incidence rate ranged from 0.2-2.1 per 100,000 and the prevalence rate ranged from 0.8-4.3 per 100,000. Incidence and prevalence of AoRRP were 0.2-3.9 and 0.4-8.4 per 100,000, respectively. Limited studies reported the subsequent impact of introducing national prophylactic HPV immunisation programs on JoRRP epidemiology, but where available, they were associated with significantly reduced incidence rates. Symptomatic presentations were diverse, with voice impact and breathing difficulties commonly reported. More aggressive disease was linked to earlier age of onset and HPV11 genotype. Healthcare utilisation was largely driven by surgical interventions, due to lack of curative treatments. Cost burden was substantial, with JoRRP associated with triple the costs of AoRRP in the US. Patients with JoRRP and AoRRP experienced considerable HRQoL impairment, particularly relating to voice disorder.

CONCLUSION

Extensive clinical, humanistic and economic disease burden was reported for both JoRRP and AoRRP, as it is a chronic condition, with propensity to recur and spread. Feasibility of improving HPV prophylactic vaccination coverage against HPV6/HPV11 should be explored to reduce incidence, alongside efforts to improve treatment of JoRRP and AoRRP patients. Despite the existing literature, RRP remains a poorly understood disease, and future research on risk factors and medical options are needed.

Management of Hyperglycemia in Hospitalized Patients

People with diabetes account for 25% of hospitalizations, or 8 million admissions annually. Poor glycemic control in the hospital is associated with increased morbidity, mortality, length of stay, and readmissions. Key considerations of inpatient diabetes management include initiation of appropriate insulin or medication regimens and frequent dose adjustments based on patient-specific factors. Inpatient diabetes management teams and new technologies are increasingly prevalent and can assist in achieving glycemic targets in the hospital. At discharge, standardized checklists should be used to ensure successful transitions of care.

A pilot community-based Diabetes Prevention and Management Program for adults with diabetes and prediabetes

Background

West Virginia is a rural state with high rates of type 2 diabetes (T2DM) and prediabetes. The Diabetes Prevention and Management (DPM) program was a health coach (HC)-led, 12-month community-based lifestyle intervention.

Objective

The study examined the impact of the DPM program on changes in glycosylated hemoglobin (A1C) and weight over twelve months among rural adults with diabetes and prediabetes. Program feasibility and acceptability were also explored.

Methods

An explanatory sequential quantitative and qualitative one-group study design was used to gain insight into the pre- and 12-month changes to health behavior and clinical outcomes. Trained HCs delivered the educational sessions and provided weekly health coaching feedback. Assessments included demographics, clinical, anthropometric, and qualitative focus groups. Participants included 94 obese adults with diabetes (63%) and prediabetes (37%). Twenty-two participated in three focus groups.

Results

Average attendance was 13.7 ± 6.1 out of 22 sessions. Mean weight loss was 4.4 ± 11.5 lbs at twelve months and clinical improvement in A1C (0.4%) was noted among T2DM adults. Program retention (82%) was higher among older participants and those with poor glycemic control. While all participants connected to a trained HC, only 72% had regular weekly health coaching. Participants reported overall acceptability and satisfaction with the program and limited barriers to program engagement.

Conclusion

Our findings suggest that it is feasible to implement an HC-led DPM program in rural communities and improve A1C in T2DM adults. Trained HCs have the potential to be integrated with healthcare teams in rural regions of the United States.

A metabolic dysfunction-associated steatotic liver acinus biomimetic induces pancreatic islet dysfunction in a coupled microphysiology system

Preclinical and clinical studies suggest that lipid-induced hepatic insulin resistance is a primary defect that predisposes to dysfunction in islets, implicating a perturbed liver-pancreas axis underlying the comorbidity of T2DM and MASLD. To investigate this hypothesis, we developed a human biomimetic microphysiological system (MPS) coupling our vascularized liver acinus MPS (vLAMPS) with pancreatic islet MPS (PANIS) enabling MASLD progression and islet dysfunction to be assessed. The modular design of this system (vLAMPS-PANIS) allows intra-organ and inter-organ dysregulation to be deconvoluted. When compared to normal fasting (NF) conditions, under early metabolic syndrome (EMS) conditions, the standalone vLAMPS exhibited characteristics of early stage MASLD, while no significant differences were observed in the standalone PANIS. In contrast, with EMS, the coupled vLAMPS-PANIS exhibited a perturbed islet-specific secretome and a significantly dysregulated glucose stimulated insulin secretion response implicating direct signaling from the dysregulated liver acinus to the islets. Correlations between several pairs of a vLAMPS-derived and a PANIS-derived factors were significantly altered under EMS, as compared to NF conditions, mechanistically connecting MASLD and T2DM associated hepatic-factors with islet-derived GLP-1 synthesis and regulation. Since vLAMPS-PANIS is compatible with patient-specific iPSCs, this platform represents an important step towards addressing patient heterogeneity, identifying disease mechanisms, and advancing precision medicine.

Technology in the management of diabetes in hospitalised adults

Suboptimal glycaemic management in hospitals has been associated with adverse clinical outcomes and increased financial costs to healthcare systems. Despite the availability of guidelines for inpatient glycaemic management, implementation remains challenging because of the increasing workload of clinical staff and rising prevalence of diabetes. The development of novel and innovative technologies that support the clinical workflow and address the unmet need for effective and safe inpatient diabetes care delivery is still needed. There is robust evidence that the use of diabetes technology such as continuous glucose monitoring and closed-loop insulin delivery can improve glycaemic management in outpatient settings; however, relatively little is known of its potential benefits and application in inpatient diabetes management. Emerging data from clinical studies show that diabetes technologies such as integrated clinical decision support systems can potentially mediate safer and more efficient inpatient diabetes care, while continuous glucose sensors and closed-loop systems show early promise in improving inpatient glycaemic management. This review aims to provide an overview of current evidence related to diabetes technology use in non-critical care adult inpatient settings. We highlight existing barriers that may hinder or delay implementation, as well as strategies and opportunities to facilitate the clinical readiness of inpatient diabetes technology in the future.

Dietary inflammatory index and type 2 diabetes in US women: a cross-sectional analysis of the National Health and Nutrition Examination Survey, 2007-2018

Objective

Type 2 diabetes (T2D) is a major public health concern in the United States and worldwide. The dietary inflammatory index (DII) is a useful tool for assessing dietary inflammation. Although much research links the DII to diabetes, little is known about the relationship in adult women with a reproductive history in the United States. We aimed to investigate how the relationship between the DII and T2D varies among different subgroups of American women.

Methods

Secondary data from the National Health and Nutrition Examination Survey from 2007 to 2018 were analyzed. Cross-sectional analysis of 8,394 American women aged 20 years or older who had at least one live birth. The main outcome was the diagnosis of T2D. Multivariate survey-weighted regression was used to determine the odds ratio (OR) and 95% confidence interval (95%CI) for the association between DII and T2D. A weighted restricted cubic spline (RCS) model was constructed to establish OR curves at three knots to examine the dose-response association between DII and T2D. Additionally, a weighted subgroup analysis was performed in a fully adjusted model to verify that the association was robust.

Results

The study main found a significant association between the DII and T2D (OR = 1.19, 95%CI: 1.12, 1.26, p < 0.001). Participants in the highest third of DII scores had a 56% increased risk of T2D (OR = 1.56, 95%CI: 1.16, 2.10; p for trend = 0.003) compared with those in the lowest third of DII scores, after adjusting for all covariates. The multivariable RCS demonstrated a linear association between DII and T2D (p = 0.892). The subsidiary found that subgroup analyses revealed a significant variation in the association between DII and T2D according to obesity, oral health, and poverty-income ratio (PIR) status. Among non-obese women, the OR was 1.22 (95%CI: 1.08, 1.37); among women with good oral health, the OR was 1.17 (95%CI: 1.07, 1.28); among women with low PIR, the OR was 1.17 (95%CI: 1.05, 1.30); and among women with high PIR, the OR was 1.26 (95% CI: 1.07, 1.48).

Conclusion

Our findings suggest that there is a significant association between DII and T2D and that oral health, obesity, and PIR status may influence the relationship between DII and T2D risk. Further studies are warranted to validate our results and evaluate whether the results are similar in other populations.

Assessing perceptions of nursing knowledge, attitudes, and practices in diabetes management within Chinese healthcare settings

Background

Effective management of diabetes mellitus (DM) involves comprehensive knowledge, attitudes, and practices (KAP) by nurses, which is essential for optimal patient care and aiding patients in their self-management of the condition.

Method

This survey evaluates nurses' self-assessed knowledge, attitudes, and practices (KAP) related to diabetes management, focusing on their perceptions of personnel expertise and care approaches. Using a stratified sampling method, the survey was disseminated across various online platforms from January 2023 to February 2024 within China, including WeChat and Sina Weibo. We employed binary logistic regression and Chi-square tests to explore the statistical correlates of KAP related to DM.

Results

A total of 4,011 nurses participated, revealing significant perceived knowledge deficiencies in specialized DM management areas, with only 34% (n = 1,360) proficient in current pharmacological treatments. Attitudinal assessments showed that 54% (n = 2,155) recognized the importance of cultural competence in dietary counseling. Practices were strong in routine glucose monitoring (96%, n = 3,851) but weaker in psychological support (68%, n = 2,736). Regression analysis indicated significant effects of experience on KAP, where nurses with 1-5 years of experience were more likely to show better knowledge (OR = 1.09; p = 0.08), and those with advanced degrees demonstrated higher competence (OR = 1.52; p = 0.028). Marital status influenced attitudes, with single nurses more likely to exhibit positive attitudes (OR = 0.49; p < 0.001), and work environment impacted knowledge, with hospital-based nurses more knowledgeable (OR = 1.15; p = 0.14). Additionally, gender differences emerged, with male nurses showing greater knowledge (OR = 1.65; p = 0.03) and better practices in diabetes care (OR = 1.47; p = 0.04).

Conclusion

The study underscores the critical need for targeted educational programs and policy interventions to enhance nursing competencies in DM management. While the study provides valuable insights into nurses' perceptions of their competencies, future research should incorporate objective knowledge assessments to ensure a comprehensive understanding of their actual capabilities. Interestingly, the data also suggests a substantial opportunity to leverage technology and inter-professional collaboration to further enhance DM management efficacy among nurses, fostering an integrated care approach.

Plantar pressure measurement in diabetic foot disease: A scoping review

AIMS/INTRODUCTION

Patients with a healed diabetic foot ulcer (DFU) have a 40% risk of ulcer recurrence within a year. New and effective measures to prevent DFU recurrence are essential. We aimed to highlight emerging trends and future research opportunities in the use of plantar pressure measurement to prevent DFU recurrence.

MATERIALS AND METHODS

Our scoping review protocol was drafted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis - Scoping Review protocol. Peer-reviewed, English-language papers were included that addressed both plantar pressure measurement and diabetic foot disease, either as primary studies that have advanced the field or as review papers that provide summaries and/or opinion on the field as a whole, as well as specific papers that provide guidelines for future research and advancement in the field.

RESULTS

A total of 24 eligible publications were identified in a literature search using PubMed. A further 36 eligible studies were included after searching the references sections of these publications, leaving a total of 60 publications included in this scoping review.

CONCLUSIONS

Plantar pressure measurement can and will play a major role in the prevention of DFU. There is already a strong, albeit limited, evidence base in place to prove its benefit in reducing DFU recurrence. More research is required in larger populations, using remote monitoring in real-world settings, and with improved technology.

Polyphenol-based polymer nanoparticles for inhibiting amyloid protein aggregation: recent advances and perspectives

Polyphenols are a group of naturally occurring compounds that possess a range of biological properties capable of potentially mitigating or preventing the progression of age-related cognitive decline and Alzheimer's disease (AD). AD is a chronic neurodegenerative disease known as one of the fast-growing diseases, especially in the elderly population. Moreover, as the primary etiology of dementia, it poses challenges for both familial and societal structures, while also imposing a significant economic strain. There is currently no pharmacological intervention that has demonstrated efficacy in treating AD. While polyphenols have exhibited potential in inhibiting the pathological hallmarks of AD, their limited bioavailability poses a significant challenge in their therapeutic application. Furthermore, in order to address the therapeutic constraints, several polymer nanoparticles are being explored as improved therapeutic delivery systems to optimize the pharmacokinetic characteristics of polyphenols. Polymer nanoparticles have demonstrated advantageous characteristics in facilitating the delivery of polyphenols across the blood-brain barrier, resulting in their efficient distribution within the brain. This review focuses on amyloid-related diseases and the role of polyphenols in them, in addition to discussing the anti-amyloid effects and applications of polyphenol-based polymer nanoparticles.

Dehydrated Amnion Chorion Membrane versus standard of care for diabetic foot ulcers: a randomised controlled trial

OBJECTIVE

Diabetic foot ulcers (DFUs) continue to challenge wound care practitioners. This prospective, multicentre, randomised controlled trial (RCT) evaluated the effectiveness of a dehydrated Amnion Chorion Membrane (dACM) (Organogenesis Inc., US) versus standard of care (SoC) alone in complex DFUs in a challenging patient population.

METHOD

Subjects with a DFU extending into dermis, subcutaneous tissue, tendon, capsule, bone or joint were enrolled in a 12-week trial. They were allocated equally to two treatment groups: dACM (plus SoC); or SoC alone. The primary endpoint was frequency of wound closure determined by a Cox analysis that adjusted for duration and wound area. Kaplan-Meier analysis was used to determine median time to complete wound closure (CWC).

RESULTS

The cohort comprised 218 patients, and these were split equally between the two treatment groups with 109 patients in each. A Cox analysis showed that the estimated frequency of wound closure for the dACM plus SoC group was statistically superior to the SoC alone group at week 4 (12% versus 8%), week 6 (22% versus 11%), week 8 (31% versus 21%), week 10 (42% versus 27%) and week 12 (50% versus 35%), respectively (p=0.04). The computed hazard ratio (1.48 (confidence interval: 0.95, 2.29) showed a 48% greater probability of wound closure in favour of the dACM group. Median time to wound closure for dACM-treated ulcers was 84 days compared to 'not achieved' in the SoC-treated group (i.e., ≥50% of SoC-treated DFUs failed to heal by week 12; p=0.04).

CONCLUSION

In an adequately powered DFU RCT, dACM increased the frequency, decreased the median time, and improved the probability of CWC when compared with SoC alone. dACM demonstrated beneficial effects in DFUs in a complex patient population.

DECLARATION OF INTEREST

This study was funded by Organogenesis Inc., US. JC serves as a consultant and speaker for Organogenesis. RDD serves as a speaker for Organogenesis. OMA and MLS serve as consultants for Organogenesis. The authors have no other conflicts of interest to declare.

A Machine Learning Model for Prediction of Amputation in Diabetics

BACKGROUND

Diabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated with a poor survival prognosis. The objective of this study is to generate a model for predicting the probability of major amputation in hospitalized patients with DFU.

METHODS

The National Inpatient Sample (NIS) database from 2008 to 2014 was used to select patients with DFU, who were then further divided by major amputation status. International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) and Agency for Healthcare Research and Quality (AHRQ) comorbidity codes were used to compare patient characteristics. For the descriptive statistics, the Student t test, the χ2 test, and the Spearman correlation were utilized. The five most predictive variables were identified. A decision tree model (CTREE) based on conditional inference framework algorithm and a random forest model were used to develop the algorithm.

RESULTS

A total of 326 853 inpatients with DFU were identified, and 5.9% underwent major amputation. The top five contributory variables (all with P < .001) were gangrene (odds ratio [OR] = 11.8, 95% confidence interval [CI] = 11.5-12.2), peripheral vascular disease (OR = 2.9, 95% CI = 2.8-3.0), weight loss (OR = 2.6, 95% CI = 2.5-2.8), systemic infection (OR = 2.5, 95% CI = 2.4-2.53), and osteomyelitis (OR = 1.7, 95% CI = 1.6-1.73). The model performance of the training data was 77.7% (76.1% sensitivity and 79.3% specificity) and of the testing data was 77.8% (76.2% sensitivity and 79.4% specificity). The model was further validated with boosting and random forest models which demonstrated similar performance and area under the curve (AUC) (0.84, 95% CI = 0.83-0.85).

CONCLUSION

Utilizing machine learning methods, we have developed a clinical algorithm that predicts the risk of major lower extremity amputation for inpatients with diabetes with 77.8% accuracy.

Association of systemic immune-inflammation index with insulin resistance and prediabetes: a cross-sectional study

Background and Objective

Previous research suggested a relationship between the Systemic Immune-Inflammation Index (SII) and multiple adverse health conditions. However, the role of SII in prediabetes and insulin resistance (IR) remains poorly understood. Therefore, this study aims to explore the potential relationship between SII and prediabetes and IR, providing data support for effective diabetes prevention by reducing systemic inflammation.

Methods

Linear regression models were used to assess the correlation between continuous SII and risk markers for type 2 diabetes (T2D). Subsequently, multivariate logistic regression models and subgroup analyses were employed to evaluate the association between SII tertiles and prediabetes and IR, controlling for various confounding factors. Finally, restricted cubic spline graphs were used to analyze the nonlinear relationship between SII and IR and prediabetes.

Results

After controlling for multiple potential confounders, SII was positively correlated with fasting blood glucose (FBG) (β: 0.100; 95% CI: 0.040 to 0.160), fasting serum insulin (FSI) (β: 1.042; 95% CI: 0.200 to 1.885), and homeostasis model assessment of insulin resistance (HOMA-IR) (β: 0.273; 95% CI: 0.022 to 0.523). Compared to participants with lower SII, those in the highest tertile had increased odds of prediabetes (OR: 1.17; 95% CI: 1.02-1.34; p for trend < 0.05) and IR (OR: 1.35; 95% CI: 1.18 to 1.51; p for trend<0.001).

Conclusions

Our study results demonstrate an elevated association between SII levels and both IR and prediabetes, indicating SII as a straightforward and cost-effective method identifying individuals with IR and prediabetes.

Obesity modifies the association between diabetes and iron biomarkers and red cell indices in reproductive-aged women in the United States

Obesity and diabetes are associated with impaired iron metabolism. We aimed to examine the independent relationship between diabetes and iron after controlling for body weight (or obesity) in women aged 20-49 years. The National Health and Nutrition Examination Survey data from 2015 to 2018 were used in this investigation. Body composition data, HbAc1, iron biomarkers (serum ferritin (SF), soluble transferrin receptor (sTfR), and body iron index (BII)), mean corpuscular volume (MCV), mean hemoglobin concentration (MCH), red cell distribution width (RDW), and hemoglobin were used. Linear regression models were used to examine how and to what extent body mass index (BMI) modified the relationship between diabetes and iron status biomarkers. A total of 1834 women aged 20-49 were included in the analysis with a mean (SD) age of 32 .2 ± 6.1 years and BMI of 29.5 ± 6.9 kg/m2. The mean SF (p = 0.014) and BII (p < 0.001) were lower, while sTfR (p < 0.001) was higher in women with diabetes than those with no diabetes. Mean estimates for MCV and MCH were lower, while RDW (p = 0.001) was higher in diabetes patients (all p < 0.001). Women with diabetes were more likely to have iron deficiency, anemia, and iron deficiency anemia than those without diabetes (18.1% vs 8.6%, p < 0.001), (24.4% vs 8.4%, p < 0.001), and (14.8% vs 5.2%, p < 0.001), respectively. Among women with obesity, those with diabetes had lower predicted ferritin (β = -0.19, p = 0.016), BII (β = -0.99, p = 0.016), and hemoglobin (β = -0.27, p = 0.042) than those without diabetes. The study shows that diabetes is linked to lower iron stores; this is exacerbated in those with obesity.

Evaluating the impact of an interdisciplinary integrated limb preservation service operating concurrently with a single-specialty service

BACKGROUND

This study examined the efficacy of an interdisciplinary limb preservation service (LPS) in improving surgical outcomes for diabetic foot ulcer (DFU) patients compared to traditional care.

METHODS

Data from January 1, 2017 to September 30, 2020 were retrospectively reviewed. An interdisciplinary LPS clinic began on August 1, 2018, coexisting with a preexisting single specialty service. Primary outcomes were major/minor amputation rates and ratios and hospital length of stay. Surgical endpoints pre- and post-LPS launch were compared.

RESULTS

Among 976 procedures for 731 unique DFU patients, most were male (80.4%) and Hispanic (89.3%). Patient demographics were consistent before and after LPS initiation. Major amputation rates decreased by 45.5% (15.4%-8.4%, p = 0.001), with outpatient procedures increasing over 5-fold (3.3% pre-LPS to 18.7% post-LPS, p < 0.001). Hospital stay reduced from 10.1 to 8.5 days post-LPS (p < 0.001). The major to minor amputation ratio declined from 22.4% to 12.7%.

CONCLUSIONS

The interdisciplinary LPS improved patient outcomes, marked by fewer major amputations and reduced hospital stays, suggesting the model's potential for broader application.

Genotype-based "virtual" metabolomics in a clinical biobank identifies novel metabolite-disease associations

Introduction: Circulating metabolites act as biomarkers of dysregulated metabolism and may inform disease pathophysiology. A portion of the inter-individual variability in circulating metabolites is influenced by common genetic variation. We evaluated whether a genetics-based "virtual" metabolomics approach can identify novel metabolite-disease associations. Methods: We examined the association between polygenic scores for 724 metabolites with 1,247 clinical phenotypes in the BioVU DNA biobank, comprising 57,735 European ancestry and 15,754 African ancestry participants. We applied Mendelian randomization (MR) to probe significant relationships and validated significant MR associations using independent GWAS of candidate phenotypes. Results and Discussion: We found significant associations between 336 metabolites and 168 phenotypes in European ancestry and 107 metabolites and 56 phenotypes in African ancestry. Of these metabolite-disease pairs, MR analyses confirmed associations between 73 metabolites and 53 phenotypes in European ancestry. Of 22 metabolitephenotype pairs evaluated for replication in independent GWAS, 16 were significant (false discovery rate p < 0.05). These included associations between bilirubin and X-21796 with cholelithiasis, phosphatidylcholine (16:0/22:5n3,18:1/20:4) and arachidonate with inflammatory bowel disease and Crohn's disease, and campesterol with coronary artery disease and myocardial infarction. These associations may represent biomarkers or potentially targetable mediators of disease risk.

Improving Cutaneous Wound Healing in Diabetic Mice Using Naturally Derived Tissue-Engineered Biological Dressings Produced under Serum-Free Conditions

Long-term diabetes often leads to chronic wounds refractory to treatment. Cell-based therapies are actively investigated to enhance cutaneous healing. Various cell types are available to produce biological dressings, such as adipose-derived stem/stromal cells (ASCs), an attractive cell source considering their abundancy, accessibility, and therapeutic secretome. In this study, we produced human ASC-based dressings under a serum-free culture system using the self-assembly approach of tissue engineering. The dressings were applied every 4 days to full-thickness 8-mm splinted skin wounds created on the back of polygenic diabetic NONcNZO10/LtJ mice and streptozotocin-induced diabetic K14-H2B-GFP mice. Global wound closure kinetics evaluated macroscopically showed accelerated wound closure in both murine models, especially for NONcNZO10/LtJ; the treated group reaching 98.7% ± 2.3% global closure compared to 76.4% ± 11.8% for the untreated group on day 20 (p=0.0002). Histological analyses revealed that treated wounds exhibited healed skin of better quality with a well-differentiated epidermis and a more organized, homogeneous, and 1.6-fold thicker granulation tissue. Neovascularization, assessed by CD31 labeling, was 2.5-fold higher for the NONcNZO10/LtJ treated wounds. We thus describe the beneficial impact on wound healing of biologically active ASC-based dressings produced under an entirely serum-free production system facilitating clinical translation.

Early intervention and care for Diabetic Foot Ulcers in Low and Middle Income Countries: Addressing challenges and exploring future strategies: A narrative review

Background and Aims

Diabetic Foot Ulcers (DFUs) are a significant health concern, particularly in Low- and Middle-Income Countries (LMICs). This review explores key strategies for managing DFUs in LMICs, including integrating podiatry, endocrinology, and wound care services, educating patients, promoting self-care, and preventive measures to reduce amputation rates.

Methods

A comprehensive literature review was conducted, focusing on studies conducted in Low and Middle Income Countries to facilitate a qualitative analysis. The review examined the aetiology and risk factors to developing DFUs, clinical presentation, multidisciplinary management and evidence based interventions, challenges to the provision of care and future directions, all pertaining to DFUs in low and middle income countries.

Results

The aetiology and risk factors contributing to the development of DFUs are complex and multifaceted. Factors such as limited access to health care, inadequate diabetes management, and socioeconomic disparities significantly influence the incidence of DFUs. Clinical presentation varies, with patients often presenting at advanced stages of the disease due to delayed or missed diagnoses. Multidisciplinary management, incorporating podiatry, endocrinology, and wound care services, has exhibited substantial promise in enhancing patient outcomes. Evidence-based interventions, including offloading techniques, wound debridement, and the use of advanced wound dressings, have proven effective in promoting ulcer healing.

Conclusion

The burden of DFUs in LMICs requires comprehensive strategies. Integrating podiatry, endocrinology, and wound care services, along with patient education and self-care practices, is essential for reducing amputations and improving patients' quality of life. Regular follow-up and early detection are vital for effective DFU management, emphasizing the need for ongoing research and investment in LMIC health care infrastructure. Embracing these multidisciplinary, patient-centered approaches can effectively address the challenge of DFUs in LMICs, leading to better patient outcomes and improved quality of life.

A metabolic-dysfunction associated steatotic liver acinus biomimetic induces pancreatic islet dysfunction in a coupled microphysiology system

Preclinical and clinical studies suggest that lipid-induced hepatic insulin resistance is a primary defect that predisposes to dysfunction in pancreatic islets, implicating a perturbed liver-pancreas axis underlying the comorbidity of T2DM and MASLD. To investigate this hypothesis, we developed a human biomimetic microphysiological system (MPS) coupling our vascularized liver acinus MPS (vLAMPS) with primary islets on a chip (PANIS) enabling MASLD progression and islet dysfunction to be quantitatively assessed. The modular design of this system (vLAMPS-PANIS) allows intra-organ and inter-organ dysregulation to be deconvoluted. When compared to normal fasting (NF) conditions, under early metabolic syndrome (EMS) conditions, the standalone vLAMPS exhibited characteristics of early stage MASLD, while no significant differences were observed in the standalone PANIS. In contrast, with EMS, the coupled vLAMPS-PANIS exhibited a perturbed islet-specific secretome and a significantly dysregulated glucose stimulated insulin secretion (GSIS) response implicating direct signaling from the dysregulated liver acinus to the islets. Correlations between several pairs of a vLAMPS-derived and a PANIS-derived secreted factors were significantly altered under EMS, as compared to NF conditions, mechanistically connecting MASLD and T2DM associated hepatic factors with islet-derived GLP-1 synthesis and regulation. Since vLAMPS-PANIS is compatible with patient-specific iPSCs, this platform represents an important step towards addressing patient heterogeneity, identifying complex disease mechanisms, and advancing precision medicine.

A systematic review of the economic burden of diabetes mellitus: contrasting perspectives from high and low middle-income countries

Introduction

Diabetes increases preventative sickness and costs healthcare and productivity. Type 2 diabetes and macrovascular disease consequences cause most diabetes-related costs. Type 2 diabetes greatly costs healthcare institutions, reducing economic productivity and efficiency. This cost of illness (COI) analysis examines the direct and indirect costs of treating and managing type 1 and type 2 diabetes mellitus.

Methodology

According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, Cochrane, PubMed, Embase, CINAHL, Scopus, Medline Plus, and CENTRAL were searched for relevant articles on type 1 and type 2 diabetes illness costs. The inquiry returned 873 2011-2023 academic articles. The study included 42 papers after an abstract evaluation of 547 papers.

Results

Most articles originated in Asia and Europe, primarily on type 2 diabetes. The annual cost per patient ranged from USD87 to USD9,581. Prevalence-based cost estimates ranged from less than USD470 to more than USD3475, whereas annual pharmaceutical prices ranged from USD40 to more than USD450, with insulin exhibiting the greatest disparity. Care for complications was generally costly, although costs varied significantly by country and problem type.

Discussion

This study revealed substantial heterogeneity in diabetes treatment costs; some could be reduced by improving data collection, analysis, and reporting procedures. Diabetes is an expensive disease to treat in low- and middle-income countries, and attaining Universal Health Coverage should be a priority for the global health community.

Creating an interactive map visualising the geographic variations of the burden of diabetes to inform policymaking: An example from a cohort study in Tasmania, Australia

OBJECTIVES

To visualise the geographic variations of diabetes burden and identify areas where targeted interventions are needed.

METHODS

Using diagnostic criteria supported by hospital codes, 51,324 people with diabetes were identified from a population-based dataset during 2004-2017 in Tasmania, Australia. An interactive map visualising geographic distribution of diabetes prevalence, mortality rates, and healthcare costs in people with diabetes was generated. The cluster and outlier analysis was performed based on statistical area level 2 (SA2) to identify areas with high (hot spot) and low (cold spot) diabetes burden.

RESULTS

There were geographic variations in diabetes burden across Tasmania, with highest age-adjusted prevalence (6.1%), excess cost ($2627), and annual costs per person ($5982) in the West and Northwest. Among 98 SA2 areas, 16 hot spots and 25 cold spots for annual costs, and 10 hot spots and 10 cold spots for diabetes prevalence were identified (p<0.05). 15/16 (94%) and 6/10 (60%) hot spots identified were in the West and Northwest.

CONCLUSIONS

We have developed a method to graphically display important diabetes outcomes for different geographical areas.

IMPLICATIONS FOR PUBLIC HEALTH

The method presented in our study could be applied to any other diseases, regions, and countries where appropriate data are available to identify areas where interventions are needed to improve diabetes outcomes.

Can single disease payment impact hospitalization expenses and quality in district hospital? A case study in Fujian, China

BACKGROUND

China is exploring payment reform methods for patients to address the escalating issue of increasing medical costs. While most district hospitals were still in the stage of Single Disease Payment (SDP) due to conditions, there is a scarcity of research on comprehensive assessment of SDP. This study aims to evaluate the implementation of SDP in a district hospital, and provided data support and scientific reference for improving SDP method and accelerating medical insurance payment reform at district hospitals.

METHODS

Data was collected from 2337 inpatient medical records at a district hospital in Fuzhou, China from 2016 to 2021. These diagnoses principally included type 2 diabetes, planned cesarean sections, and lacunar infarction. Structural variation analysis was conducted to examine changes in the internal cost structure and dynamic shifts in medical expenses for both the insured (treatment group) and uninsured (control group) patients, pre- and post-implementation of the SDP policy on August 1, 2018. The difference-in-differences (DID) method was employed to assess changes in hospitalization expenses and quality indicators pre- and post-implementation. Furthermore, subjective evaluation of medical quality was enhanced through questionnaire surveys with 181 patients and 138 medical staff members.

RESULTS

The implementation of SDP decreased the medical expenses decreased significantly (P < 0.05), which can also optimize the cost structure. The drug cost ratio descended significantly, and the proportion of laboratory fee rose slightly. The changes in infection rate, cure rate, and length of stay indicated enhanced medical quality (P < 0.05). The satisfaction of inpatients with SDP was high (89.2%). Medical staff expressed an upper middle level of satisfaction (77.2%) but identified difficulties with the implementation such as "insufficient coverage of disease types".

CONCLUSION

After the implementation of SDP in district hospitals, considerable progress has been achieved in restraining medical expenses, coupled with notable enhancements in both medical quality and patient satisfaction levels. However, challenges persist regarding cost structure optimization and underutilization of medical resources. This study suggests that district hospitals can expedite insurance payment reform by optimizing drug procurement policies, sharing examination information, and strengthening the management of medical records.

Exploring the Interplay between Fatty Acids, Inflammation, and Type 2 Diabetes

Around 285 million people worldwide currently have type 2 diabetes and it is projected that this number will be surpassed by 2030. Therefore, it is of the utmost importance to enhance our comprehension of the disease's development. The regulation of diet, obesity, and inflammation in type 2 diabetes is believed to play a crucial role in enhancing insulin sensitivity and reducing the risk of onset diabetes. Obesity leads to an increase in visceral adipose tissue, which is a prominent site of inflammation in type 2 diabetes. Dyslipidemia, on the other hand, plays a significant role in attracting activated immune cells such as macrophages, dendritic cells, T cells, NK cells, and B cells to visceral adipose tissue. These immune cells are a primary source of pro-inflammatory cytokines that are believed to promote insulin resistance. This review delves into the influence of elevated dietary free saturated fatty acids and examines the cellular and molecular factors associated with insulin resistance in the initiation of inflammation induced by obesity. Furthermore, it explores novel concepts related to diet-induced inflammation and its relationship with type 2 diabetes.

Acute Diabetes Complications After Transition to a Value-Based Medication Benefit

Importance

The association of value-based medication benefits with diabetes health outcomes is uncertain.

Objective

To assess the association of a preventive drug list (PDL) value-based medication benefit with acute, preventable diabetes complications.

Design, Setting, and Participants

This cohort study used a controlled interrupted time series design and analyzed data from a large, national, commercial health plan from January 1, 2004, through June 30, 2017, for patients with diabetes aged 12 to 64 years enrolled through employers that adopted PDLs (intervention group) and matched and weighted members with diabetes whose employers did not adopt PDLs (control group). All participants were continuously enrolled and analyzed for 1 year before and after the index date. Subgroup analysis assessed patients with diabetes living in lower-income and higher-income neighborhoods. Data analysis was performed between August 19, 2020, and December 1, 2023.

Exposure

At the index date, intervention group members experienced employer-mandated enrollment in a PDL benefit that was added to their follow-up year health plan. This benefit reduced out-of-pocket costs for common cardiometabolic drugs, including noninsulin antidiabetic agents and insulin. Matched control group members continued to have cardiometabolic medications subject to deductibles or co-payments at follow-up.

Main Outcomes and Measures

The primary outcome was acute, preventable diabetes complications (eg, bacterial infections, neurovascular events, acute coronary disease, and diabetic ketoacidosis) measured as complication days per 1000 members per year. Intermediate measures included the proportion of days covered by and higher use (mean of 1 or more 30-day fills per month) of antidiabetic agents.

Results

The study 10 588 patients in the intervention group (55.2% male; mean [SD] age, 51.1 [10.1] years) and 690 075 patients in the control group (55.2% male; mean [SD] age, 51.1 [10.1] years) after matching and weighting. From baseline to follow-up, the proportion of days covered by noninsulin antidiabetic agents increased by 4.7% (95% CI, 3.2%-6.2%) in the PDL group and by 7.3% (95% CI, 5.1%-9.5%) among PDL members from lower-income areas compared with controls. Higher use of noninsulin antidiabetic agents increased by 11.3% (95% CI, 8.2%-14.5%) in the PDL group and by 15.2% (95% CI, 10.6%-19.8%) among members of the PDL group from lower-income areas compared with controls. The PDL group experienced an 8.4% relative reduction in complication days (95% CI, -13.9% to -2.8%; absolute reduction, -20.2 [95% CI, -34.3 to -6.2] per 1000 members per year) compared with controls from baseline to follow-up, while PDL members residing in lower-income areas had a 10.2% relative reduction (95% CI, -17.4% to -3.0%; absolute, -26.1 [95% CI, -45.8 to -6.5] per 1000 members per year).

Conclusions and Relevance

In this cohort study, acute, preventable diabetes complication days decreased by 8.4% in the overall PDL group and by 10.2% among PDL members from lower-income areas compared with the control group. The results may support a strategy of incentivizing adoption of targeted cost-sharing reductions among commercially insured patients with diabetes and lower income to enhance health outcomes.

Twelve-Month Reach and Effectiveness of a University-Based Diabetes Prevention Initiative

INTRODUCTION

The University of California (UC) implemented the Diabetes Prevention Program (DPP) to address diabetes and obesity risk. This project examined the reach and effectiveness of this university-based DPP delivery approach.

METHODS

This project compared 12-month weight change among three groups of UC beneficiaries with overweight/obesity: (1) those who received invitation letters and enrolled in UC DPP, (2) those mailed invitation letters but did not enroll, and (3) those who were not mailed letters and did not enroll (controls). Using 2012-2022 EHR, administrative and DPP cohort data, an interrupted time series was conducted in 2022-2023 to compare group differences in rate of weight change.

RESULTS

Among 6,231 beneficiaries (132 UC DPP aware enrollees, 1,750 DPP aware non-enrollees, 4,349 controls), UC DPP enrollees were older (mean age 49), mostly women (76%), and more diverse (33% Asian, 8% Black, 20% Hispanic, 4% Multi/Other). Over 12 months of follow-up, UC DPP enrollee postenrollment rate of weight loss was -0.68 lbs./month. UC DPP enrollees had significantly greater weight change from pre- to post-enrollment than DPP aware non-enrollees (adjusted Δ-1.02 vs. Δ-0.07 lbs./month, difference= -0.95, p<0.001). Weight change among all participants who received letters with/without DPP enrollment was similar to controls.

CONCLUSIONS

UC DPP reached a diverse group and was effective for weight loss at 12-month follow-up. However, UC DPP invitation letters to raise prediabetes and DPP awareness were not associated with significant weight change in the absence of DPP enrollment. University-based approaches to DPP delivery are effective and may enhance reach of DPP among at-risk adults.

Economic Costs of Diabetes in the U.S. in 2022

OBJECTIVE

This study updates previous estimates of the economic burden of diagnosed diabetes, with calculation of the health resource use and indirect costs attributable to diabetes in 2022.

RESEARCH DESIGN AND METHODS

We combine the demographics of the U.S. population in 2022 with diabetes prevalence, from national survey data, epidemiological data, health care cost data, and economic data, into a Cost of Diabetes Economic Model to estimate the economic burden at the population and per capita levels. Health resource use and associated medical costs are analyzed by age, sex, race/ethnicity, comorbid condition, and health service category. Data sources include national surveys (2015-2020 or most recent available), Medicare standard analytic files (2020), and administrative claims data from 2018 to 2021 for a large commercially insured population in the U.S.

RESULTS

The total estimated cost of diagnosed diabetes in the U.S. in 2022 is $412.9 billion, including $306.6 billion in direct medical costs and $106.3 billion in indirect costs attributable to diabetes. For cost categories analyzed, care for people diagnosed with diabetes accounts for 1 in 4 health care dollars in the U.S., 61% of which are attributable to diabetes. On average people with diabetes incur annual medical expenditures of $19,736, of which approximately $12,022 is attributable to diabetes. People diagnosed with diabetes, on average, have medical expenditures 2.6 times higher than what would be expected without diabetes. Glucose-lowering medications and diabetes supplies account for ∼17% of the total direct medical costs attributable to diabetes. Major contributors to indirect costs are reduced employment due to disability ($28.3 billion), presenteeism ($35.8 billion), and lost productivity due to 338,526 premature deaths ($32.4 billion).

CONCLUSIONS

The inflation-adjusted direct medical costs of diabetes are estimated to rise 7% from 2017 and 35% from 2012 calculations (stated in 2022 dollars). Following decades of steadily increasing prevalence of diabetes, the overall estimated prevalence in 2022 remains relatively stable in comparison to 2017. However, the absolute number of people with diabetes has grown and contributes to increased health care expenditures, particularly per capita spending on inpatient hospital stays and prescription medications. The enormous economic toll of diabetes continues to burden society through direct medical and indirect costs.

Recent Insights into the Etiopathogenesis of Diabetic Retinopathy and Its Management

Purpose: Diabetic retinopathy (DR) is a microvascular retinal disease associated with chronic diabetes mellitus, characterized by the damage of blood vessels in the eye. It is projected to become the leading cause of blindness, given the increasing burden of the diabetic population worldwide. The diagnosis and management of DR pose significant challenges for physicians because of the involvement of multiple biochemical pathways and the complexity of ocular tissues. This review aims to provide a comprehensive understanding of the molecular pathways implicated in the pathogenesis of DR, including the polyo pathway, hexosamine pathway, protein kinase C (PKC), JAK/STAT signaling pathways, and the renin-angiotensin system (RAS). Methods: Academic databases such as PubMed, Scopus, Google Scholar and Web of Science was systematically searched using a carefully constructed search strategy incorporating keywords like "Diabetic Retinopathy," "Molecular Pathways," "Pharmacological Treatments," and "Clinical Trials" to identify relevant literature for the comprehensive review. Results: In addition to activating other inflammatory cascades, these pathways contribute to the generation of oxidative stress within the retina. Furthermore, it aims to explore the existing pharmacotherapy options available for the treatment of DR. In addition to conventional pharmacological therapies such as corticosteroids, antivascular endothelial growth factors, and nonsteroidal anti-inflammatory drugs (NSAIDs), this review highlights the potential of repurposed drugs, phyto-pharmaceuticals, and novel pipeline drugs currently undergoing various stages of clinical trials. Conclusion: Overall, this review serves as a technical exploration of the complex nature of DR, highlighting both established and emerging molecular pathways implicated in its pathogenesis. Furthermore, it delves into the available pharmacological treatments, as well as the promising repurposed drugs, phyto-pharmaceuticals, and novel drugs currently being evaluated in clinical trials, with a focus on their specific mechanisms of action.

Impact of diabetes on medical costs in the pre- and postoperative year of lower extremity amputations in Belgium

AIMS

To compare the medical costs of individuals undergoing lower extremity amputation (LEA) in Belgium with those of amputation-free individuals.

METHODS

Belgian citizens undergoing LEAs in 2014 were identified. The median costs per capita in euros for the 12 months preceding and following minor and major LEAs were compared with those of matched amputation-free individuals.

RESULTS

A total of 3324 Belgian citizens underwent LEAs (2295 minor, 1029 major), 2130 of them had diabetes. The comparison group included 31,716 individuals. Amputation was associated with high medical costs (individuals with diabetes: major LEA €49,735, minor LEA €24,243, no LEA €2,877 in the year preceding amputation; €45,740, €21,445 and €2,284, respectively, in the post-amputation year). Significantly higher costs were observed in the individuals with (versus without) diabetes in all groups. This difference diminished with higher amputation levels. Individuals undergoing multiple LEAs generated higher costs (individuals with diabetes: €39,313-€89,563 when LEAs preceded index amputation; €46,629-€92,877 when LEAs followed index amputation). Individuals dying in the year after a major LEA generated remarkably lower costs.

CONCLUSIONS

LEA-related medical costs were high. Diabetes significantly impacted costs, but differences in costs diminished with higher amputation levels. Individuals with multiple amputations generated the highest costs.

Optimized Copper-Based Microfeathers for Glucose Detection

Diabetes is expected to rise substantially by 2045, prompting extensive research into accessible glucose electrochemical sensors, especially those based on non-enzymatic materials. In this context, advancing the knowledge of stable metal-based compounds as alternatives to non-enzymatic sensors becomes a scientific challenge. Nonetheless, these materials have encountered difficulties in maintaining stable responses under physiological conditions. This work aims to advance knowledge related to the synthesis and characterization of copper-based electrodes for glucose detection. The microelectrode presented here exhibits a wide linear range and a sensitivity of 1009 µA∙cm-2∙mM-1, overperfoming the results reported in literature so far. This electrode material has also demonstrated outstanding results in terms of reproducibility, repeatability, and stability, thereby meeting ISO 15197:2015 standards. Our study guides future research on next-generation sensors that combine copper with other materials to enhance activity in neutral media.

Efficacy and safety of basal-bolus insulin at 1:1.5 ratio compared to 1:1 ratio using a weight-based initiation and titration (WIT2) algorithm in hospitalized patients with type 2 Diabetes: a multicenter, randomized, clinical study

BACKGROUND

Most studies initiated basal-bolus insulin in a ratio of 1:1 and titrated based on glucose. This study aimed to investigate the effectiveness and safety of a weight-based and ratio of 1:1.5 basal-bolus insulin using an algorithm for both initiation and titration in hospitalized patients with type 2 diabetes (T2D).

METHODS

Hospitalized patients with T2D were randomly assigned to two groups in equal numbers to receive 1:1.5 and 1:1 ratios of basal-bolus insulin using a weight-based algorithm for both initiation and titration. The primary outcome was the time taken to reach the fasting blood glucose (FBG) target and 2-h postprandial blood glucose (2hBG) targets after three meals. The secondary outcome included insulin dosage to achieve glycemic control and the incidence of hypoglycemia during hospitalization.

RESULTS

250 patients were screened between October 2021 and June 2022, 220 were randomly grouped, and 182 completed the trial (89 in the 1:1.5 and 93 in the 1:1 groups). The time taken to reach FBG targets was comparable between the two groups (3.4 ± 1.7 vs. 3.0 ± 1.3 days, p = 0.137) within about 3 days. The 2hBG after three meals was shorter in the 1:1.5 group than in the 1:1group (2.9 ± 1.5 vs. 3.4 ± 1.4 days, p = 0.015 for breakfast, 3.0 ± 1.6 vs. 3.6 ± 1.4 days, p = 0.005 for lunch, and 3.1 ± 2.1 vs. 4.0 ± 1.5 days, p = 0.002 for dinner). No significant difference in insulin dosages was found between the two groups at the end of the study. The incidence of hypoglycemia was similar in both groups.

CONCLUSIONS

We demonstrated that fixed dose-ratio basal-bolus insulin at 1:1.5 calculated using a weight-based initiation and titration algorithm was simple, as effective, and safe as ratio at 1:1 in managing T2D in hospitalized patients. Trial Registration ChiCTR 2,100,050,963. Date of registration: September 8, 2021.

Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial

BACKGROUND

Structured lifestyle change education reduces the burden of cardiometabolic diseases such as diabetes. Delivery of these programs at worksites could overcome barriers to program adoption and improve program sustainability and reach; however, tailoring to the worksite setting is essential.

METHODS

The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at 11 large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, and peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system.

RESULTS

Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add a wider variety of exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees.

CONCLUSION

This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02813668. Registered June 27, 2016.

Religion, spirituality and improved glycemic control among people with type 2 diabetes: A systematic review

OBJECTIVE

This systematic review investigates the association between measures of religiosity or spirituality (R/S) and glycemic control in patients with type 2 diabetes.

METHODS

A systematic literature review was conducted for all English language articles published between 1966 and August 2022 in six relevant databases: PubMed, PSYCHinfo, CINAHL, ATLA, Scopus, Sociological Abstracts, and the Cochrane Central Register of Controlled Clinical Trials. Search terms for religious variables included, "religion", "religiosity", "spirituality", "religious attendance". Search terms for diabetes outcomes included, "diabetes", "hemoglobin A1c", "blood glucose", "glycemic control." The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO).

RESULTS

A total of 758 studies examining correlations between R/S and glycemic control were screened from relevant databases. Forty studies were evaluated for eligibility and inclusion. Eight studies were selected and analyzed. Three studies showed positive associations, two studies showed positive and neutral associations, two studies showed positive and negative associations, and one study showed a neutral association. Limitations included small sample sizes and heterogeneity of study designs.

CONCLUSION

Involvement in religious and spiritual practices may be associated with improved glycemic control in patients with type 2 diabetes. Specific mechanisms for associations may be partially explained by more effective self-management practices, increased positive social contacts, and regular community support. Further research is needed to clarify these associations.

Are Future Doctors Prepared to Address Patients' Nutritional Needs? Cooking and Nutritional Knowledge and Habits in Medical Students

Background. Many diseases are linked to lifestyle in the United States, yet physicians receive little training in nutrition. Medical students' prior knowledge of nutrition and cooking is unknown. Objective. To determine incoming medical students' prior nutrition knowledge, culinary skills, and nutrition habits. Methods. A dual-methods study of first-year medical students. Cross-sectional survey assessing prior knowledge, self-efficacy, and previous education of cooking and nutrition. Interviews of second-year medical students explored cooking and nutrition in greater depth. Results. A total of 142 first-year medical students participated; 16% had taken a nutrition course, with majority (66%) learning outside classroom settings. Students had a mean score of 87% on the Nutritional Knowledge Questionnaire versus comparison group (64.9%). Mean cooking and food skills score were lower than comparison scores. Overall, students did not meet guidelines for fiber, fruit, vegetables, and whole grains. Interviews with second-year students revealed most learned to cook from their families; all believed it important for physicians to have this knowledge. Conclusions. Medical students were knowledgeable about nutrition, but typically self-taught. They were not as confident or skilled in cooking, and mostly learned from their family. They expressed interest in learning more about nutrition and cooking.

Advancement in Understanding Diabetic Retinopathy: A Comprehensive Review

Diabetic retinopathy (DR) is a significant global health concern, with its prevalence and severity increasing alongside the rising incidence of diabetes. DR is a leading cause of vision impairment among working-age adults, resulting in substantial economic and healthcare burdens. This article explores the epidemiology and pathophysiology of DR, highlighting the global variation in its prevalence and the associated systemic risk factors. It delves into the complex relationship between glycemic control, duration of diabetes, and medication use in the context of DR development and progression. The review also discusses current screening methods and their implications, emphasizing the need for efficient and scalable approaches. Furthermore, it investigates the various treatment strategies available for DR, including laser photocoagulation, vitreous body excision, and anti-vascular endothelial growth factor (VEGF) therapy, while underlining their limitations and potential side effects. In conclusion, this article underscores the urgency of developing novel preventive and therapeutic approaches for DR. It highlights the potential role of cytokines and growth factors as treatment targets and emphasizes the importance of glycemic control and management of systemic risk factors in mitigating the impact of this vision-threatening complication of diabetes. The article serves as a comprehensive resource for understanding the challenges posed by DR and the need for innovative strategies to address this growing public health concern.