Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study.

BACKGROUND: Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters. METHODS: Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables. RESULTS: There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs. CONCLUSIONS: This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Living well with diabetes in Alaska.

Many people with diabetes mellitus experience minimal or no complications. Our objective was to determine the proportion of Alaska Native people who experienced four major complications or mortality and to identify factors that may be associated with these outcomes. We used records in a diabetes registry and clinical and demographic variables in our analyses. We used logistic regression and Cox Proportional Hazards models to evaluate associations of these parameters with death and complications that occurred prior to 2013. The study included 591 Alaska Native people with non-type 1 diabetes mellitus, diagnosed between 1986 and 1992. Over 60% of people in this study remained free of four major diabetes-related complications for the remainder of life or throughout the approximately 20-year study period. Lower BMI, higher age at diagnosis of diabetes, and use of at least one diabetes medication were associated with death and a composite of four complications. A majority of Alaska Native people with DM had none of four major complications over a 20-year period. Lower BMI and use of diabetes medications were associated with higher hazard for some deleterious outcomes. This suggests that goals in care of elders should be carefully individualised. In addition, we discuss several programme factors that we believe contributed to favourable outcomes.

Impact of Gender on Chronic Complications in Participants With Type 2 Diabetes: Evidence From a Cross-Sectional Study.

INTRODUCTION: This study aimed to assess and compare the prevalence of diabetes complications between men and women with Type 2 diabetes (T2D), as well as how gender relates to these complications. METHODS: In this cross-sectional study, complications of diabetes, including coronary artery disease (CAD), retinopathy, neuropathy and diabetic kidney disease (DKD), were evaluated in 1867 participants with T2D. Additionally, baseline characteristics of the individuals, including anthropometric measurements, metabolic parameters and the use of dyslipidaemia drugs and antihyperglycaemic agents, were assessed. Gender differences in complications were examined using the chi-squared test. Multivariate logistic regression was employed to investigate the relationship between gender and T2D complications, with and without adjusting for the characteristics of the studied population. RESULTS: In the studied population, 62.1% had at least one complication, and complications were 33.5% for DKD, 29.6% for CAD, 22.9% for neuropathy and 19.1% for retinopathy. The prevalence of CAD and neuropathy was higher in men. However, DKD and retinopathy were more prevalent among women. Odds ratios of experiencing any complication, CAD and retinopathy in men compared with women were 1.57 (95% CI: 1.27-2.03), 2.27 (95% CI: 1.72-2.99) and 0.72 (95% CI: 0.52-0.98), respectively, after adjusting for demographic factors, anthropometric measures, metabolic parameters and the consumption of dyslipidaemia drugs and antihyperglycaemic agents. CONCLUSION: The prevalence of diabetes complications was significantly higher in men with diabetes, highlighting the need for better treatment adherence. CAD was associated with the male gender, whereas retinopathy was associated with the female gender. Men and women with diabetes should be monitored closely for CAD and retinopathy, respectively, regardless of their age, diabetes duration, anthropometric measures, laboratory findings and medications.

[Features of type 2 diabetes mellitus and its pharmacotherapy in outpatients].

BACKGROUND: Type 2 diabetes mellitus (DM) remains the most common type of DM and is associat-ed with disabling complications, reduced quality of life and reduced life expectancy. Satisfactory control of carbohydrate metabolism remains the key way to manage them. AIM: To perform a retrospective analysis of carbohydrate metabolism (in terms of glycated hemoglobin - HbA1c), the prevalence of complications, and features of hypoglycemic and concomitant therapy in patients with type 2 DM. MATERIALS AND METHODS: The analysis of sex and age characteristics, achieved level of HbA1c, diabetes complications, sugar-reducing and concomitant therapy according to the data of outpatient records of the patients who are on dispensary registration with an endocrinologist in the Endocrinology Department of the Consultative and Diagnostic Polyclinic of the Tomsk Regional Clinical Hospital in Tomsk was carried out. RESULTS: 546 outpatient medical records of patients with type 2 DM were analysed, among which there were 39.6% men (n=216) with a history of type 2 DM 8.0 years [3.0; 13.0] , median age 64.0 years [54.5; 71.0] and 60.4% women (n=330), history of type 2 DM 10.0 years [5.0; 15.0], median age 70.0 years [63.0; 75.0]. The achieved HbA1c level in men was 7.6% [6.3; 9.0] and in women 7.4% [6.4; 9.1]. 19.4% of men and 13.6% of women had an aggravated history of type 2 DM. According to the history, 6.5% of men (n=14) and 3% of women (n=10) with type 2 DM had a history of stroke, and myocardial infarction 12% (n=26) and 1.5% (n=5), respectively. Among the analysed outpatient records of type 2 DM patients, 18.5% of men (n=40) and 12.4% of women (n=41) were found to have diabetic nephropathy. Diabetic retinopathy was reported in 9.3% (n=20) of men and 4.2% (n=14) of women. Diabetic macroangiopathies were detected in 29.6% (n=64) of males and 9.7% (n=32) of females. Among other chronic complications of DM, diabetic neuroosteoarthropathy was recorded in 1% (n=2) of males and 3% (n=10) of females, diabetic polyneuropathy in 25% (n=54) and 21.5% (n=71), respectively. Diabetic foot was diagnosed in 1.9% (n=4) of men and 1.8% (n=6) of women. Among comorbid pathology, obesity was diagnosed in 45.4% (n=88) of men and 69.1% (n=228) of women, dyslipidaemia in 10.2% (n=22) and 10.6% (n=35) respectively, hypertension in 39.8% (n=86) and 32.6% (n=108) of cases. The diagnosis of non-alcoholic fatty liver disease was verified in 3.7% of men (n=7) and 1.8% of women (n=6), chronic heart failure in 7.4% of men (n=16) and 2.4% of women (n=8) registered for type 2 DM. According to the analysed outpatient records, 4.1% (n=23) of patients received diet therapy, 48.3% (n=263) received monotherapy and 47.6% (n=260) received combination therapy for type 2 DM. Metformin was the most commonly used monotherapy for type 2 DM 36.1% (n=197), followed by insulin 6.9% (n=38), sulfonylurea derivatives - 2.7% (n=15). Combination of metformin and dipeptidyl peptidase-4 inhibitors (13.9%) was the most commonly used combination therapy. CONCLUSION: Analysis of the current situation in the diabetology service will help to identify weaknesses and strengths, which is necessary to optimise existing therapeutic approaches in accordance with current clinical recommendations.

Diabetes and further risk of cancer: a nationwide population-based study.

BACKGROUND: Individuals with diabetes have a significantly higher risk of developing various forms of cancer, and the potential biological links between these two diseases are not completely understood. METHODS: This was a longitudinal retrospective nationwide cohort study, a study design that allows us to examine the natural course of cancer development over an extended period of time with a large sample size. Initially, 3,111,975 and 22,208,395 eligible patients aged ≥ 20 years with and without diabetes, respectively, were matched by age, sex, and the Charlson comorbidity index. Ultimately, 1,751,457 patients were selected from each group. Stratified populations for diabetic retinopathy (DR) (n = 380,822) and without DR (n = 380,822) as well as proliferative DR (PDR) (n = 141,150) and non-proliferative DR (NPDR) (n = 141,150) were analyzed in this study. The main outcome measure was the first-time diagnosis of cancer during the follow-up period. RESULTS: We observed a 20% higher risk of total cancer incidence [hazard ratios (HR), 1.20; p < 0.001] in the diabetes cohort compared to the non-diabetes cohort. The highest HR was observed for liver and pancreas cancers. Moderately increased risks were observed for oral, colon, gallbladder, reproductive (female), kidney, and brain cancer. Furthermore, there was a borderline significantly increased risk of stomach, skin, soft tissue, female breast, and urinary tract (except kidney) cancers and lymphatic and hematopoietic malignancies. The stratified analysis revealed that the total cancer incidence was significantly higher in the DR cohort compared to the non-DR cohort (HR, 1.31; p < 0.001), and there was a borderline increased risk in the PDR cohort compared to the NPDR cohort (HR, 1.13; p = 0.001). CONCLUSIONS: This study provides large-scale, nationwide, population-based evidence that diabetes is independently associated with an increased risk of subsequent development of total cancer and cancer at specific sites. Notably, this risk may further increase when DR develops.

Sepsis risk in diabetic patients with urinary tract infection.

BACKGROUND: Urinary tract infections (UTI) is a prevalent condition in those with diabetes, and in severe cases, it may escalate to sepsis. Therefore, it is important to analyze the risk variables associated with sepsis in diabetes individuals with UTI. METHODS: This research was a retrospective cross-sectional analysis. From January 2011 to June 2022, a group of individuals with diabetes were identified as having UTI at a tertiary hospital situated in Southeastern China. Patient data, including information on urine culture, was collected retrospectively from a clinical record database. The participants were categorized into the sepsis and non-sepsis groups. The risk variables were derived using both uni-and multiple- variable regression analysis. RESULTS: The research included 1919 patients, of whom 1106 cases (57.63%) had positive urine cultures. In total, 445 blood culture samples were tested, identifying 186 positive cases (41.80%). The prevalence of bacteria in urine and blood samples was highest for Escherichia coli and Klebsiella pneumoniae, respectively. Moreover, 268 individuals (13.97%) exhibited sepsis. The regression analysis indicated a positive correlation between sepsis and albumin (ALB)<34.35 g/L, C-reactive protein (CRP)>55.84 mg/L and white blood cell count (WBC) >8.485 X 109/L in diabetic cases with UTIs. By integrating the three aforementioned parameters, the area under the receiver operating characteristic curve was 0.809. CONCLUSIONS: The early detection of sepsis in diabetic individuals with UTI may be achieved using a comprehensive analysis of CRP, WBC, and ALB test findings.

Visual impairment among diabetes patients in Ethiopia: A systematic review and meta-analysis.

INTRODUCTION: The increased prevalence of visual impairment among diabetes patients has become a major global public health problem. Although numerous primary studies have been conducted to determine the prevalence of visual impairment and its associated factors among diabetes patients in Ethiopia, these studies presented inconsistent findings. Therefore, this review aimed to determine the pooled prevalence of visual impairment and identify associated factors among diabetes patients. METHODS: An extensive search of literature was done on PubMed, Google Scholar, and Web of Sciences databases. A manual search of the reference lists of included studies was performed. A weighted inverse-variance random-effects model was used to calculate the pooled prevalence of visual impairment. RESULTS: A total of 34 eligible primary studies with a sample size of 11,884 participants were included in the final meta-analysis. The pooled prevalence of visual impairment was 21.73% (95% CI: 18.15, 25.30; I2 = 96.47%; P<0.001). Diabetes mellitus with a duration of diagnosis ≥10 years [AOR = 3.18, 95% CI: 1.85, 5.49], presence of co-morbid hypertension [AOR = 3.26, 95% CI: 1.93, 5.50], poor glycemic control [AOR = 4.30, 95% CI: 3.04, 6.06], age ≥56 years [AOR = 4.13, 95% CI: 2.27, 7.52], family history of diabetes mellitus [AOR = 4.18 (95% CI: 2.61, 6.69], obesity [AOR = 4.77, 95% CI: 3.00, 7.59], poor physical activity [AOR = 2.46, 95% CI: 1.75, 3.46], presence of visual symptoms [AOR = 4.28, 95% CI: 2.73, 6.69] and no history of eye exam [AOR = 2.30, 95% CI: 1.47, 3.57] were significantly associated with visual impairment. CONCLUSIONS: The pooled prevalence of visual impairment was high in Ethiopia. Diabetes mellitus with a duration of diagnosis ≥10 years, presence of co-morbid hypertension, poor glycemic control, age ≥56 years, and family history of diabetes mellitus, obesity, poor physical activity, presence of visual symptoms, and no history of eye exam were independent predictors. Therefore, diabetic patients with these identified risks should be screened, and managed early to reduce the occurrence of visual impairment related to diabetes. Moreover, public health policy with educational programs and regular promotion of sight screening for all diabetes patients are needed.

Comparison of bacterial species and clinical outcomes in patients with diabetic hand infection in tropical and nontropical regions.

Hand infection is a rare complication in patients with diabetes. Its clinical outcomes depend on the severity of hand infection caused by bacteria, but the difference in bacterial species in the regional disparity is unknown. The purpose of this study was to explore the influence of tropical and nontropical regions on bacterial species and clinical outcomes for diabetic hand. A systematic literature review was conducted using PubMed, EMBASE, Web of Science, and Google Scholar. Moreover, the bacterial species and clinical outcomes were analyzed with respect to multicenter wound care in China (nontropical regions). Both mixed bacteria (31.2% vs. 16.6%, p = 0.014) and fungi (7.5% vs. 0.8%, p = 0.017) in the nontropical region were significantly more prevalent than those in the tropical region. Staphylococcus and Streptococcus spp. were dominant in gram-positive bacteria, and Klebsiella, Escherichia coli, Proteus and Pseudomonas in gram-negative bacteria occupied the next majority in the two regions. The rate of surgical treatment in the patients was 31.2% in the nontropical region, which was significantly higher than the 11.4% in the tropical region (p = 0.001). Although the overall mortality was not significantly different, there was a tendency to be increased in tropical regions (6.3%) compared with nontropical regions (0.9%). However, amputation (32.9% vs. 31.3%, p = 0.762) and disability (6.3% vs. 12.2%, p = 0.138) were not significantly different between the two regions. Similar numbers of cases were reported, and the most common bacteria were similar in tropical and nontropical regions in patients with diabetic hand. There were more species of bacteria in the nontropical region, and their distribution was basically similar, except for fungi, which had differences between the two regions. The present study also showed that surgical treatment and mortality were inversely correlated because delays in debridement and surgery can deteriorate deep infections, eventually leading to amputation and even death.

[Diabetes-related skin lesions : a frequently underdiagnosed problem]. / Lésions cutanées liées au diabète : une problématique souvent sous-diagnostiquée.

Skin disorders are common in diabetes, affecting both patients with type 1 and type 2 diabetes. These cutaneous manifestations can be classified into three categories: dermatoses associated with the presence of diabetes, cutaneous complications of diabetes (acute and chronic) and dermatoses linked to antidiabetic treatments. These conditions vary considerably in terms of severity (from insignificant cosmetic problems to life-threatening) and prevalence (from relatively frequent to rare). Despite the high prevalence of diabetes and associated skin disorders, the dermatological manifestations of diabetes are generally neglected and often under-diagnosed. Failure to diagnose and treat skin disorders at an early stage can lead to clinical worsening, whereas early detection and treatment can reduce the risk of serious complications.

Chez les personnes atteintes d'un diabète de type 1 ou 2, les atteintes cutanées sont fréquentes. Elles peuvent être classées en trois catégories : les dermatoses associées à la présence du diabète, ses complications cutanées (aiguës et chroniques) et les dermatoses liées aux traitements antidiabétiques. Ces atteintes varient considérablement en gravité (allant de préoccupations esthétiques banales à potentiellement mortelles) et en prévalence (relativement fréquentes à rares). Malgré la prévalence élevée du diabète et des atteintes cutanées associées, les manifestations dermatologiques sont généralement négligées et souvent sous-diagnostiquées. L'absence de diagnostic et de traitement à un stade précoce peut entraîner une aggravation clinique dermatologique. La détection et le traitement précoces de ces atteintes peuvent réduire le risque de complications graves.

The Relationship between All-Cause Dementia and Acute Diabetes Complications among American Indian and Alaska Native Peoples.

BACKGROUND: American Indian and Alaska Native people (AI/AN) bear a disproportionate burden of diabetes. Growing evidence shows significant associations between several acute diabetes complications and dementia among diabetes patients. However, little is known about these relationships among AI/AN adults. Here, we aim to investigate these associations among AI/AN adults. METHODS: This cross-sectional study extracted data from the Indian Health Service's (IHS) National Data Warehouse and related administrative databases. A total of 29,337 IHS actual users with diabetes who were 45+ years old during fiscal year 2013 were included. All-cause dementia and diabetes complications were identified using ICD-9 diagnostic codes. Negative binomial regression models were used to evaluate the associations of interest. RESULTS: Nearly 3% of AI/AN diabetes patients had a dementia diagnosis. After controlling for covariates, dementia was associated with a 94% higher rate of severe hypoglycemia (Incidence Rate Ratio [IRR = 1.94, 95% CI:1.50-2.51), 52% higher rate of severe hyperglycemia (IRR = 1.52, 95% CI, 1.11-2.08), and 92% higher rate of any acute complication (IRR = 1.92, 95% CI:1.53-2.41). CONCLUSIONS: AI/AN diabetes patients with dementia suffered from considerably higher rates of acute diabetes complications than their counterparts without dementia. The clinical management of patients with comorbid diabetes and dementia is particularly challenging and may require individualized treatment approaches.

Economic burden of type-2 diabetes in Peru: a cost-of-illness study valuing cost differences associated with the level of glycemic control.

OBJECTIVES: Type 2 diabetes mellitus (T2DM) represents an increasing public health problem in Peru. This study aims to estimate the national economic burden of this disease for the public funder, the social security, and private sector insurers. METHODS: Direct healthcare costs were estimated for a cohort of 45-to-75-year-old adults diagnosed with T2DM in 2019, over a 20-year period. Disease progression was modeled using PROSIT Models and literature, including acute and chronic microvascular and macrovascular complications. Three scenarios of glycemic control were considered: current levels of 35.8% of the population controlled (HbA1c < 7%) (S1); 100% controlled (S2) and; 100% uncontrolled (S3). The impact of diabetes prevalence on overall costs was evaluated in sensitivity analysis. RESULTS: Total national economic burden was estimated at $15,405,448,731; an annual average per patient of $2,158. Total costs would decrease to $12,853,113,596 (-16.6%) in S2 and increase to $16,828,713,495 (+9.2%) in S3. Treating patients with complications and risk factors could cost 6.5 times more, being stroke the complication with the highest impact. Up to a 67.6% increase in total costs was found when increasing T2DM prevalence. CONCLUSIONS: T2DM places a heavy burden on the Peruvian healthcare budget that will be even greater if poor glycemic control is maintained.

Natural history of asymptomatic cervical internal carotid artery stenosis in diabetes mellitus patients.

INTRODUCTION: Diabetes mellitus (DM) is known to be a cause of cervical internal carotid artery stenosis (ICS). In this study, we investigated the natural history of asymptomatic ICS in DM patients without surgical intervention. METHODS: We conducted a retrospective study of 148 DM patients with asymptomatic ICS treated medically at the Kansai Electric Power Hospital from April 2013 to March 2023, inclusive. We examined the incidence of ischemic stroke with ICS and evaluated the patients' clinical characteristics and imaging findings. RESULTS: Ischemic stroke with ICS occurred in 7 patients (4.7 %), and only smoking history was significantly correlated with the incidence of ischemic stroke (p = 0.04). DISCUSSION: The incidence rate of ischemic stroke with ICS in this study (4.7%) was comparable to the previous report. The result that, the correlated factors of the incidence of ischemic stroke in DM patients with ICS was only smoking history, seemed acceptable. However, prospective studies with a larger number of cases may be needed in the future to determine the correlated factors more eligibly.

Enrollment in High-Deductible Health Plans and Incident Diabetes Complications.

Importance: Preventing diabetes complications requires monitoring and control of hyperglycemia and cardiovascular risk factors. Switching to high-deductible health plans (HDHPs) has been shown to hinder aspects of diabetes care; however, the association of HDHP enrollment with microvascular and macrovascular diabetes complications is unknown. Objective: To examine the association between an employer-required switch to an HDHP and incident complications of diabetes. Design, Setting, and Participants: This retrospective cohort study used deidentified administrative claims data for US adults with diabetes enrolled in employer-sponsored health plans between January 1, 2010, and December 31, 2019. Data analysis was performed from May 26, 2022, to January 2, 2024. Exposures: Adults with a baseline year of non-HDHP enrollment who had to switch to an HDHP because their employer offered no non-HDHP alternative in that year were compared with adults who were continuously enrolled in a non-HDHP. Main Outcomes and Measures: Mixed-effects logistic regression models examined the association between switching to an HDHP and, individually, the odds of myocardial infarction, stroke, hospitalization for heart failure, lower-extremity complication, end-stage kidney disease, proliferative retinopathy, treatment for retinopathy, and blindness. Models were adjusted for demographics, comorbidities, and medications, with inverse propensity score weighting used to account for potential selection bias. Results: The study included 42 326 adults who switched to an HDHP (mean [SD] age, 52 [10] years; 19 752 [46.7%] female) and 202 729 adults who did not switch (mean [SD] age, 53 [10] years; 89 828 [44.3%] female). Those who switched to an HDHP had greater odds of experiencing all diabetes complications (odds ratio [OR], 1.11; 95% CI, 1.06-1.16 for myocardial infarction; OR, 1.15; 95% CI, 1.09-1.21 for stroke; OR, 1.35; 95% CI, 1.30-1.41 for hospitalization for heart failure; OR, 2.53; 95% CI, 2.38-2.70 for end-stage kidney disease; OR, 2.23; 95% CI, 2.17-2.29 for lower-extremity complication; OR, 1.17; 95% CI, 1.13-1.21 for proliferative retinopathy; OR, 2.35; 95% CI, 2.18-2.54 for blindness; and OR, 2.28; 95% CI, 2.15-2.41 for retinopathy treatment). Conclusions and Relevance: This study found that an employer-driven switch to an HDHP was associated with increased odds of experiencing all diabetes complications. These findings reinforce the potential harm associated with HDHPs for people with diabetes and the importance of affordable and accessible chronic disease management, which is hindered by high out-of-pocket costs incurred by HDHPs.

Efficacy of 1-hour postload plasma glucose as a suitable measurement in predicting type 2 diabetes and diabetes-related complications: A post hoc analysis of the 30-year follow-up of the Da Qing IGT and Diabetes Study.

AIM: To evaluate whether 1-hour plasma glucose (1hPG) can be a comparable measurement to 2-hour plasma glucose (2hPG) in identifying individuals at high risk of developing diabetes. METHODS: A total of 1026 non-diabetic subjects in the Da Qing IGT and Diabetes Study were included and classified according to baseline postload 1hPG. The participants were followed up and assessed at 6-, 20- and 30year follow-up for outcomes including diabetes, all-cause and cardiovascular mortality, cardiovascular disease (CVD) events, and microvascular disease. We then conducted a proportional hazards analysis in this post hoc study to determine the risks of developing type 2 diabetes and its complications in a '1hPG-normal' group (1hPG <8.6 mmol/L) and a '1hPG-high' group (≥8.6 mmol/L). The predictive values of 1hPG and 2hPG were evaluated using a time-dependent receiver-operating characteristic (ROC) curve. RESULTS: Compared with the 1hPG-normal group, the 1hPG-high group had increased risk of diabetes (hazard ratio [HR] 4.45, 95% CI 3.43-5.79), all-cause mortality (HR 1.46, 95% CI 1.07-2.01), CVD mortality (HR 1.84, 95% CI 1.16-2.95), CVD events (HR 1.39, 95% CI 1.03-1.86) and microvascular disease (HR 1.70, 95% CI: 1.03-2.79) after adjusting for confounders. 1hPG exhibited a higher area under the ROC curve (AUC) for predicting diabetes than 2hPG during the long-term follow-up (AUC [1hPG vs. 2hPG]: 10 years: 0.86 vs. 0.84, p = 0.08; 20 years: 0.88 vs. 0.87, p = 0.04; 30 years: 0.85 vs. 0.82, p = 0.009). CONCLUSIONS: Elevated 1hPG level (≥8.6 mmol/L) was associated with increased risk of developing type 2 diabetes and its long-term complications, and could be considered as a suitable measurement for identifying individuals at high risk of type 2 diabetes.

Diabetes and infection: review of the epidemiology, mechanisms and principles of treatment.

An association between diabetes and infection has been recognised for many years, with infection being an important cause of death and morbidity in people with diabetes. The COVID-19 pandemic has re-kindled an interest in the complex relationship between diabetes and infection. Some infections occur almost exclusively in people with diabetes, often with high mortality rates without early diagnosis and treatment. However, more commonly, diabetes is a complicating factor in many infections. A reciprocal relationship occurs whereby certain infections and their treatments may also increase the risk of diabetes. People with diabetes have a 1.5- to 4-fold increased risk of infection. The risks are the most pronounced for kidney infection, osteomyelitis and foot infection, but are also increased for pneumonia, influenza, tuberculosis, skin infection and general sepsis. Outcomes from infection are worse in people with diabetes, with the most notable example being a twofold higher rate of death from COVID-19. Hyperglycaemia has deleterious effects on the immune response. Vascular insufficiency and neuropathy, together with altered skin, mucosal and gut microbial colonisation, contribute to the increased risk of infection. Vaccination is important in people with diabetes although the efficacy of certain immunisations may be compromised, particularly in the presence of hyperglycaemia. The principles of treatment largely follow those of the general population with certain notable exceptions.

The Fusion Clinic: Integrating the care of people with severe mental illness and diabetes.

AIM: People with coexisting severe mental illness (SMI) and type 2 diabetes have a shorter life expectancy and poorer diabetes outcomes than those without SMI. This is partly explained by the separate treatment of diabetes and SMI, which occurs in parallel silos in many healthcare systems. The Steno Diabetes Center Sjaelland and Region Zealand established the Fusion Clinic to offer combined psychiatric and diabetes care delivered by both diabetes and mental healthcare professionals. This study describes how the clinic was established and the initial diabetes outcomes. METHODS: The Fusion Clinic was co-designed by people with diabetes and SMI and healthcare professionals to improve the care of adults with diabetes and SMI. The clinic approach utilised the F-ACT model. The 63 people referred to the Fusion Clinic between 01.02.2020 and 01.01.2022 who attended the clinic for more than 6 months were included in this study. Diabetes outcomes were recorded in the electronic medical records (Sundhedsplatformen EPIC). RESULTS: There was a high prevalence of diabetes complications at baseline. Furthermore, 70% had one or more additional concomitant diseases, as well as SMI and diabetes. Assessment of diabetes complications and measurements of HbA1c and lipid profile improved after referral to the clinic. HbA1c declined during the first 6 months of attendance at the clinic. CONCLUSIONS: This model of service delivery has the potential to improve the quality of care for people with SMI and type 2 diabetes.

Genetics and epigenetics of diabetes and its complications in India.

Diabetes mellitus (DM) has become a significant health concern with an increasing rate of morbidity and mortality worldwide. India ranks second in the number of diabetes cases in the world. The increasing burden of DM can be explained by genetic predisposition of Indians to type 2 diabetes mellitus (T2DM) coupled with rapid urbanization and socio-economic development in the last 3 decades leading to drastic changes in lifestyle. Environment and lifestyle changes contribute to T2DM development by altering epigenetic processes such as DNA methylation, histone post-translational modifications, and long non-coding RNAs, all of which regulate chromatin structure and gene expression. Although the genetic predisposition of Indians to T2DM is well established, how environmental and genetic factors interact and lead to T2DM is not well understood. In this review, we discuss the prevalence of diabetes and its complications across different states in India and how various risk factors contribute to its pathogenesis. The review also highlights the role of genetic predisposition among the Indian population and epigenetic factors involved in the etiology of diabetes. Lastly, we review current treatments and emphasize the knowledge gap with respect to genetic and epigenetic factors in the Indian context. Further understanding of the genetic and epigenetic determinants will help in risk prediction and prevention as well as therapeutic interventions, which will improve the clinical management of diabetes and associated macro- and micro-vascular complications.

Prevalence of Adult Type 2 Diabetes Mellitus and Related Complications in Alberta, Canada: A Retrospective, Observational Study Using Administrative Data.

OBJECTIVES: Type 2 diabetes mellitus (T2DM) is a prevalent chronic disease and a leading cause of morbidity/mortality in Canada. We evaluated the burden of T2DM in Alberta, Canada, by estimating the 5-year period prevalence of T2DM and rates of comorbidities and complications/conditions after T2DM. METHODS: We conducted a population-based, retrospective study linking administrative health databases. Individuals with T2DM (≥18 years of age) were identified between 2008-2009 and 2018-2019 using a published algorithm, with follow-up data to March 2020. The 5-year period prevalence was estimated for 2014-2015 to 2018-2019. Individuals with newly identified T2DM, ascertained between 2010-2011 and 2017-2018 with a lookback period between 2008-2009 and 2009-2010 and a minimum 1 year of follow-up data, were evaluated for subsequent cardiovascular, diabetic, renal, and other complication/condition frequencies (%) and rates (per 100 person-years). Complications/conditions were stratified by atherosclerotic cardiovascular disease (ASCVD) status at index and age. RESULTS: The 5-year period prevalence of T2DM was 11,051 per 100,000 persons, with the highest prevalence in men 65 to <75 years of age. There were 195,102 individuals included in the cohort (mean age 56.7±14.7 years). The most frequently reported complications/conditions (rates per 100 person-years) were acute infection (23.10, 95% confidence interval [CI] 23.00 to 23.30), hypertension (17.30, 95% CI 16.80 to 17.70), and dyslipidemia (12.20, 95% CI 11.90 to 12.40). Individuals who had an ASCVD event/procedure and those ≥75 years of age had higher rates of complications/conditions. CONCLUSIONS: We found that over half of the individuals had hypertension or infection after T2DM. Also, those with ASCVD had higher rates of complications/conditions. Strategies to mitigate complications/conditions after T2DM are required to reduce the burden of this disease on individuals and health-care systems.

Modeling multiple correlated end-organ disease trajectories: A tutorial for multistate and joint models with applications in diabetes complications.

State-of-the-art biostatistics methods allow for the simultaneous modeling of several correlated non-fatal disease processes over time, but there is no clear guidance on the optimal analysis in most settings. An example occurs in diabetes, where it is not known with certainty how microvascular complications of the eyes, kidneys, and nerves co-develop over time. In this article, we propose and contrast two general model frameworks for studying complications (sequential state and parallel trajectory frameworks) and review multivariate methods for their analysis, focusing on multistate and joint modeling. We illustrate these methods in a tutorial format using the long-term follow-up from the Diabetes Control and Complications Trial and Epidemiology of Diabetes Interventions and Complications study public data repository. A formal comparison of prediction error and discrimination is included. Multistate models are particularly advantageous for determining the order and timing of complications, but require discretization of the longitudinal outcomes and possibly a very complex state space process. Intermittent observation of the states must be accounted for, and discretization is a probable disadvantage in this setting. In contrast, joint models can account for variations of continuous biomarkers over time and are particularly designed for modeling complex association structures between the complications and for performing dynamic predictions of an outcome of interest to inform clinical decisions (eg, a late-stage complication). We found that both models have helpful features that can better-inform our understanding of the complex trajectories that complications may take and can therefore help with decision making for patients presenting with diabetes complications.