Type 2 Diabetes Mellitus In Population Research Articles

Incident Cancer Risk in Patients with Incident Type 2 Diabetes Mellitus in Hungary (Part 1).

(1) Background: Patients with type 2 diabetes mellitus (T2DM) are at higher risk of cancer but how these two diseases associate is still debated. The goal of this study was the assessment of the overall incidence of cancer among patients with newly diagnosed T2DM in Hungary. (2) Methods: A nationwide, retrospective, longitudinal study was performed using a Hungarian database. After exclusion of cases of age < 18 years, with gestational diabetes, with polycystic ovary syndrome, and with type 1 and prevalent type 2 diabetes mellitus, the incident T2DM (approx. 50,000 cases yearly) and for comparison, the diabetes-free Hungarian adult population (approx. 7,000,000 cases yearly) was included in the study. The primary endpoints were the overall and site-specific incidence and annual percentage change of the incidence of cancer in both populations. (3) Results: The overall incidence of cancer in patients amounted to 29.4/1000 and 6.6/1000 with or without T2DM, respectively, and the OR (95%CI) of cancer of the T2DM group was 4.32 (4.14-4.53), p < 0.0001. The risk of having cancer was age dependent. The incidence of cancer was declining in the non-diabetic but was unchanged in the T2DM population. The average lag time of diagnosing cancer after the detection of T2DM was 3.86 months. (4) Conclusions: Incident T2DM is associated with a significantly higher overall risk of incident cancer, with a reverse correlation of age. Newly registered T2DM patients were suggested to be screened for cancer within 6 months.

Association between heart rate variability and cardiorespiratory fitness in individuals with type 2 diabetes mellitus

Background: Type 2 Diabetes Mellitus (T2DM) is associated with cardiovascular risk, which is partly due to autonomic dysfunction and decreased cardiorespiratory fitness. This study examines the relationship between heart rate variability (HRV) and maximal oxygen uptake (VO2max) in T2DM patients to understand their interconnected impacts on autonomic and aerobic functions. Methods: In a cross-sectional study, 77 T2DM patients underwent HRV and VO2max assessments using standard protocols. HRV metrics were analysed in conjunction with VO2max, measured through direct breath-by-breath analysis. Pearson's correlation coefficient was used to investigate the relationships between HRV indices and VO2max. Results: VO2max showed strong positive correlations with RMSSD (r = 0.89, p &lt; .001), HF (r = 0.54, p &lt; .001), and pNN50% (r = 0.52, p &lt; .001), indicating higher parasympathetic activity with improved cardiorespiratory fitness. Negative correlations with LF (r = -0.60, p &lt; .001) and the LF/HF ratio (r = -0.39, p &lt; .001) suggested that better fitness levels lead to sympathetic withdrawal and a more favourable autonomic balance. Moderate positive correlations with SDNN (r = 0.46, p &lt; .001) and TP (r = 0.58, p &lt; .001) further suggested that overall autonomic modulation is enhanced with increased cardiorespiratory fitness. Conclusion: This study substantiates a significant correlation between HRV and VO2max in individuals with T2DM, highlighting the intricate relationship between autonomic function and aerobic capacity. These findings suggest that enhancing cardiorespiratory fitness may improve autonomic balance, offering potential avenues for mitigating cardiovascular risk in the T2DM population.

Type 2 diabetes mellitus and cardiometabolic outcomes in metabolic dysfunction-associated steatotic liver disease population

The metabolic syndrome, characterized by type 2 diabetes mellitus (T2DM), hypertension, hyperlipidemia, and obesity, collectively increases the risk of cardiovascular diseases. Nonalcoholic fatty liver disease (NAFLD) is a prominent manifestation, affecting over a third of the global population with a concerning annual increase in prevalence. Nearly 70 % of overweight individuals have NAFLD, and NAFLD-related deaths are predicted to rise, especially among young adults. The association of T2DM and NAFLD has led to the proposal of “metabolic dysfunction-associated steatotic liver disease” (MASLD) terminology, encompassing individuals with T2DM, overweight/obesity, hypertension, hypertriglyceridemia, or low HDL-cholesterol. Patients with MASLD will likely have double the risk of developing T2DM, and the combination of insulin resistance, overweight/obesity, and MASLD significantly elevates the risk of T2DM. Cardiovascular diseases remain the leading cause of mortality in the MASLD and T2DM population, with MASLD directly associated with coronary artery disease, compounded by coexisting insulin resistance and T2DM. Urgency lies in early detection of subclinical cardiovascular diseases among patients with T2DM and MASLD. Novel strategies targeting multiple pathways offer hope for effectively improving cardiometabolic health. Understanding and addressing the intertwined factors contributing to these disorders can pave the way towards better management and prevention of cardiometabolic complications.

Latent Profile Analysis of Medication Beliefs in Patients with Type 2 Diabetes in the Hospital-Home Transition and Comparison with Medication Adherence.

The treatment of Type 2 Diabetes Mellitus (T2DM) is a protracted and arduous process. Medication, being a universally crucial therapeutic measure, underscores the significance of medication adherence in managing the disease effectively. Medication beliefs have emerged as a significant predictor of adherence, attracting considerable scholarly attention in recent years. However, there remains a paucity of research utilizing individual-centered approaches to explore medication beliefs among the T2DM population during the hospital-home transition, leaving the relationship between these beliefs and medication adherence unclear. To investigate latent categories of medication beliefs among patients with T2DM during the transition from hospital to home, and to analyze variations in medication adherence across these categories of patients. Between August 2022 and September 2023, this study selected 304 patients with a pre-discharge diagnosis of T2DM as study subjects from a tertiary hospital in Dongguan City. The patients' profiles were assessed comprehensively via the Sociodemographic and Clinical Characteristics Questionnaire, alongside the Chinese version of Beliefs about Medicines Questionnaire-Specific and Morisky Medication Adherence Scale-8. The present study conducted latent profile analysis using Mplus 7.4 software and analyzed the influencing factors of different medication belief categories and their differences in medication adherence using SPSS 26.0 software. The medication beliefs of 304 patients were rated at 3.36±5.24 points, while medication adherence scored 6.23±1.56 points. The medication beliefs were classified into four categories: moderate necessity - low to moderate concern group (40.13%), high necessity - low concern group (9.54%), moderate necessity - moderate to high concern group (19.08%), and moderate necessity - high concern group (31.25%). Age, monthly per capita household income, and place of residence emerged as influential factors for the four categories. Moreover, the disparity in medication adherence among these categories demonstrated statistical significance (P < 0.001). The medication beliefs of patients were classified into four distinct categories, and variations in medication adherence were evident across these categories. The high necessity - low concern group demonstrated the highest medication adherence scores, while the moderate necessity - high concern group exhibited the lowest scores. Healthcare providers are advised to tailor personalized medication belief enhancement programs based on patients' homogeneous beliefs, addressing specific issues encountered by each category. This approach aims to ensure optimal medication adherence across diverse medical and social environments, effectively improving patient prognosis and enhancing quality of life.

The use of sodium-glucose cotransporter 2 inhibitors and the incidence of uveitis in type 2 diabetes: a population-based cohort study.

To survey the potential correlation between the application of sodium-glucose cotransporter 2 (SGLT2) inhibitors and the incidence of uveitis in individuals with type 2 diabetes mellitus (T2DM). A retrospective cohort study using the National Health Insurance Research Database (NHIRD) was conducted. The T2DM patients using SGLT2 inhibitors and those taking other anti-diabetic medications were assigned to the SGLT2 group and the control group, respectively, with a 1 : 2 ratio via the propensity score-matching (PSM) method. The major outcome in this study is the development of uveitis according to the diagnostic codes. The Cox proportional hazard regression was adopted to yield the adjusted hazard ratio (aHR) with 95% confidence interval (CI) between the groups. There were 147 and 371 new uveitis episodes in the SGLT2 and control groups after the follow-up period up to 5 years. The incidence of uveitis in the SGLT2 group (aHR = 0.736, 95% CI: 0.602-0.899, p = 0.0007) was significantly lower than that in the control group after adjusting for the effect of all the confounders. In the subgroup analyses, the SGLT2 inhibitors showed a higher correlation with low uveitis incidence in T2DM patients aged under 50 than T2DM individuals aged over 50 years (p = 0.0012), while the effect of SGLT2 inhibitors on the incidence of anterior and posterior uveitis development was similar (p = 0.7993). The use of SGLT2 inhibitors could be an independent protective factor for uveitis development in T2DM population.

Effectiveness of a pharmacist-led, community group-based education programme in enhancing diabetes management: A multicentre randomised control trial

AimsThis study presents a protocol for the Pharmacy Integrated Community Care (PICC) program, meticulously designed to enhance Hemoglobin A1c (HbA1c) levels and augment knowledge about diabetes mellitus (DM) among individuals diagnosed with Type 2 Diabetes Mellitus (T2DM) in the Sarawak State of Malaysia. MethodsFrom 1 May to December 31, 2023, a prospective, multicenter, parallel-design randomised controlled trial will be conducted with two groups, each consisting of 47 participants. The intervention group will receive a structured, four-session group-based program guided by experienced pharmacists, focusing on medication adherence and diabetes management. The control group will follow the standard Diabetes Mellitus Adherence Clinic program. The primary outcomes of this study encompass enhancements in knowledge regarding diabetes medication management and adherence, followed by subsequent changes in HbA1c levels. ConclusionsThe successful implementation of the PICC program holds promise for enhancing health outcomes in the T2DM population, potentially leading to more effective diabetes management initiatives and better health practices in the community. Trial registration clinicaltrials.gov identifierNCT05106231.

Retinopathy as a predictive indicator for significant hepatic fibrosis according to T2DM status: A cross-sectional study based on the national health and nutrition examination survey data

Introduction and ObjectivesType 2 Diabetes Mellitus (T2DM), a prevalent metabolic disorder, often coexists with a range of complications, with retinopathy being particularly common. Recent studies have shed light on a potential connection between diabetic retinopathy (DR) and hepatic fibrosis, indicating a possible shared pathophysiological foundation in T2DM. This study investigates the correlation between retinopathy and hepatic fibrosis among individuals with T2DM, as well as evaluates the diagnostic value of DR for significant hepatic fibrosis. Materials and MethodsOur cross-sectional analysis incorporated 5413 participants from the National Health and Nutrition Examination Survey (NHANES) 2005-2008. The Fibrosis-4 score (FIB-4) classified hepatic fibrosis into different grades (F0-F4), with significant hepatic fibrosis marked as F2 or higher. Retinopathy severity was determined using retinal imaging and categorized into four levels. The analysis of variance or Chi-square tests facilitated group comparisons. Additionally, the receiver operating characteristic (ROC) analysis appraised the predictive accuracy of retinopathy for significant hepatic fibrosis in the T2DM population. ResultsAmong 5413 participants, the mean age was 59.56 ± 12.41, with 50.2% male. And 20.6% were diagnosed with T2DM. Hepatic fibrosis grading was positively associated with retinopathy severity (OR [odds ratio]: 1.521, 95%CI [confidence interval]: 1.152-2.008, P = 0.003) across the entire population. The association was amplified in the T2DM population according to Pearson's analysis results. The ROC curve demonstrated retinopathy's diagnostic capacity for significant hepatic fibrosis in the T2DM population (AUC [area under curve] = 0.72, 95%CI: 0.651-0.793, P < 0.001). ConclusionsRetinopathy could serve as an independent predictor of significant hepatic fibrosis in T2DM population. Ophthalmologists are advised to closely monitor T2DM patients with retinopathy.

Abstract TMP103: Trends in Ischemic Stroke-Related Mortality in Patients With Type 2 Diabetes in the United States, 1999-2020

Background: The pathological changes in lining of blood vessels associated with diabetes is a well-established risk factor for stroke, some studies suggesting a two times increase in risk compared to non-diabetics. Methods: Death certificates from CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research) database were examined from 1999 to 2020 for ischemic stroke related mortality in patients with type 2 diabetes mellitus (T2DM). Annual percent change (APC) and age-adjusted mortality rates (AAMRs) per 100,000 persons were calculated and stratified by year, sex, and race/ethnicity. Results: From 1999 to 2020 there were 20,941 deaths from ischemic stroke in patients with T2DM. The AAMR remained relatively constant from 0.31 in 1999 to 0.32 in 2004 (APC: -0.78), showing a sharp decline to 0.15 in 2007 (APC: -20.79), a near constant rate of 0.14 in 2007 (APC: -1.05), followed by a rapid increase to 0.44 in 2017 (APC: 44.55), and 0.66 in 2020 (APC: 14.59). Men showed consistently higher AAMR than women in 1999 (AAMR men: 0.34 vs women: 0.29) and 2020 (AAMR men: 0.78 vs women: 0.58). When comparing race, African Americans (AA) presented with a consistently higher AAMR in 1999 (AAMR AA: 0.37 vs white: 0.31) and 2020 (AAMR AA: 0.97 vs white:0.63). Notably, a significant escalation in AAMR occurred from 2016 to 2020, affecting both populations; this trend reached its pinnacle in 2020 (2016 AAMR AA: 0.39 vs. white: 0.27) (2020 AAMR AA: 0.97 vs. white: 0.63). Conclusion: The findings highlight fluctuating trends in AAMRs with distinct shifts observed after 2007. Noteworthy gender and racial disparities in AAMRs were also evident. The study emphasizes the need for ongoing vigilance and focused interventions to address the evolving dynamics of ischemic stroke-related mortality in the T2DM population.

TCF7L2 and FTO Polymorphisms Are Associated with Type 2 Diabetes Mellitus Risk in Kuwait

Objective: Despite the high prevalence of type 2 diabetes mellitus (T2DM) and obesity in the region, reports are limited on genetic risk factors associated with T2DM risk in Kuwait. Our aim was to investigate the association of reported FTO and TCF7L2 T2DM genetic risk variants in Kuwaiti T2DM patients. Subjects and Methods: FTO rs9939609 and TCF7L2 rs7903146 variants were genotyped in 203 T2DM patients and 162 healthy controls. Data analysis included Fisher’s exact test, χ2 test, and linear and logistic regression analyses. Results: FTO rs9939609 (AA) and TCF7L2 rs7903146 (TT) genotypes associated with T2DM risk among Kuwaitis (p = 0.0016 and p FTO rs9939609A: odds ratio (OR) 2.136, 95% confidence interval (CI): 1.21–3.67, p = 0.0075; TCF7L2 rs7903146T: OR 3.283, 95% CI: 1.92–5.76, p p p = 0.036) in T2DM patients. Conclusion: The increased susceptibility of Kuwaitis to T2DM is influenced by the same common genetic factors found in other T2DM populations. Further investigations of other T2DM genetic risk factors in Kuwait should refine and further support the clinical utility of a genetic risk score in predicting T2DM risk in a high-risk population such as Kuwait.

Predicting the risk of subclinical atherosclerosis based on interpretable machine models in a Chinese T2DM population.

Cardiovascular disease (CVD) has emerged as a global public health concern. Identifying and preventing subclinical atherosclerosis (SCAS), an early indicator of CVD, is critical for improving cardiovascular outcomes. This study aimed to construct interpretable machine learning models for predicting SCAS risk in type 2 diabetes mellitus (T2DM) patients. This study included 3084 T2DM individuals who received health care at Zhenhai Lianhua Hospital, Ningbo, China, from January 2018 to December 2022. The least absolute shrinkage and selection operator combined with random forest-recursive feature elimination were used to screen for characteristic variables. Linear discriminant analysis, logistic regression, Naive Bayes, random forest, support vector machine, and extreme gradient boosting were employed in constructing risk prediction models for SCAS in T2DM patients. The area under the receiver operating characteristic curve (AUC) was employed to assess the predictive capacity of the model through 10-fold cross-validation. Additionally, the SHapley Additive exPlanations were utilized to interpret the best-performing model. The percentage of SCAS was 38.46% (n=1186) in the study population. Fourteen variables, including age, white blood cell count, and basophil count, were identified as independent risk factors for SCAS. Nine predictors, including age, albumin, and total protein, were screened for the construction of risk prediction models. After validation, the random forest model exhibited the best clinical predictive value in the training set with an AUC of 0.729 (95% CI: 0.709-0.749), and it also demonstrated good predictive value in the internal validation set [AUC: 0.715 (95% CI: 0.688-0.742)]. The model interpretation revealed that age, albumin, total protein, total cholesterol, and serum creatinine were the top five variables contributing to the prediction model. The construction of SCAS risk models based on the Chinese T2DM population contributes to its early prevention and intervention, which would reduce the incidence of adverse cardiovascular prognostic events.

Abstract 12591: 12,13-dihome and Noradrenaline Are Associated With the Occurrence of Acute Myocardial Infarction in Patients With Type 2 Diabetes Mellitus

Introduction: Acute myocardial infarction (AMI) is the most prevalent cause of mortality and morbidity in patients with type 2 diabetes mellitus (T2DM). However, strict blood glucose control does not always prevent the development and progression of AMI. Aims: Therefore, the present study aimed to explore potential new biomarkers associated with the occurrence of AMI in T2DM patients. Methods: A total of 82 participants were recruited, including the control group (n=28), T2DM without AMI group (T2DM, n=30) and T2DM with initial AMI group (T2DM+AMI, n=24). The untargeted metabolomics using LC-MS analysis was performed to evaluate the changes in serum metabolites. Then, candidate metabolites were determined using ELISA method in the validation study (n=126/T2DM group, n=122/T2DM+AMI group). Results: The results showed that 146 differential serum metabolites were identified among the control, T2DM and T2DM+AMI, Moreover, 16 differentially-expressed metabolites were significantly altered in T2DM+AMI compared to T2DM. Furthermore, three candidate differential metabolites, 12,13-diHOME, noradrenaline (NE) and estrone sulfate (ES), were selected for validation study. Serum levels of 12,13-diHOME and NE in T2DM+AMI were significantly higher than those in T2DM. Multivariate logistic analyses showed that 12,13-diHOME (OR, 1.491; 95% CI, 1.230-1.807, P &lt;0.001) and NE (OR, 8.636; 95% CI, 2.303-32.392, P =0.001) were independent risk factors for AMI occurrence in T2T2DM patients. The area under receiver operating characteristic (ROC) curve (AUC) were 0.757 (95% CI:0.697-0.817, P &lt;0.001) and 0.711(95% CI:0.648-0.775, P &lt;0.001), respectively. The combination of both significantly improved the AUC to 0.816 (95% CI:0.763-0.869, P &lt;0.001). Conclusions: 12,13-diHOME and NE may lead to understanding the possible metabolic alterations associated with AMI onset in T2DM population and serve as promising risk factors and therapeutic targets.

Cognitive Performance and Diabetic Retinopathy: What Your Eyes Can Reveal About Your Brain.

Diabetic retinopathy (DR) is a chronic diabetes complication. People with Type 2 Diabetes Mellitus (T2DM) have two times the risk for dementia, suggesting it is a new chronic diabetes complication. Evaluate the association of DR with cognitive performance in a T2DM population. Cross-sectional study with 400 T2DM adults from whom socio-demographic, clinical, laboratory data were collected, and screening test for depression symptoms (Patient Health Questionaire- 9 (PHQ-9)), Mini-Mental State Examination (MMSE), Semantic Verbal Fluency Test, Trail Making Test A and B, Word Memory test were performed. All cognitive test scores were converted into Global Cognition z-Score (GCS(z)). The association between GCS(z) < 0 with DR was performed using a multivariate binary logistic regression model adjusted for age ≥ 65 years, school years ≤ 6 years, DM duration ≥ 10 years, depression symptoms score > 9 at PHQ-9, arterial hypertension, physical activity, diabetic retinopathy, macular edema, and cardiovascular disease. After exclusions, the 251 eligible patients were 56.6% female, with a mean age of 61.1 (±9.8) years, DM duration of 12.6 (±8.9) years, and 7.6 (±4.2) years of school education. DR prevalence was 46.5%. Multivariate Logistic Regression Model showed an association between DR and GCS(z) < 0, with odds ratio (CI95%) of 2.50 (1.18-5.34), adjusted for age, low education level, arterial hypertension and depression symptoms (OD and CI95% respectively: 5.46(2.42-12.34); 12.19 (5.62-26.46); 2.55 (0.88-7.39); 3.53 (1.55-8.07)). In this T2DM population, having DR increased the chance for worse cognitive performance even when adjusted for age, low education level, presence of arterial hypertension, and depression symptoms.

Association of category of dietary intake and physical activity with the risk of mortality in patients with type 2 diabetes mellitus: a prospective cohort study

Objective: To investigate the association between dietary intake and physical activity category and their combined effects on all-cause and cause-specific mortality risk in patients with type 2 diabetes mellitus (T2DM). Methods: Between December 2013 and December 2021, a prospective cohort study was conducted on 19 863 T2DM patients in Changshu City, Qingjiangpu District (formerly Qinghe District), and Huai'an District, included in the national basic health service management. Information on deaths and underlying causes of death was obtained from the Jiangsu Provincial CDC and Prevention Death Surveillance System. Cox proportional hazards models were used to estimate the intensity of associations between dietary intake, physical activity, and their combined effects with all-cause and cause-specific mortality in patients with T2DM. Results: As of December 31, 2021, the research subjects had been followed up for 150 283 person-years, with a median follow-up time of 8.15 years. During the follow-up period, 3 293 people died, including 1 124 deaths from cardiovascular disease (CVD) and 875 deaths from cancer. Cox regression analysis showed that compared with the population of 0-1 recommended food group, those having more than five recommended food groups had a 19% lower risk of all-cause mortality [hazard ratio (HR)=0.81, 95%CI: 0.70-0.94] and a 33% lower risk of all-cause mortality (HR=0.67, 95%CI: 0.52-0.87). Compared with the T2DM population in the physical activity Q1 group, the risk of all-cause mortality, CVD mortality, and cancer mortality among the physical activity Q4 group reduced by 50% (HR=0.50, 95%CI: 0.45-0.56), 50% (HR=0.50, 95%CI: 0.41-0.61), and 27% (HR=0.73, 95%CI: 0.60-0.88), respectively. The combined effect showed that compared with the population in the intake of food categories 0-2 and low physical activity groups, the risk of all-cause, CVD mortality, and cancer mortality in the intake of food categories 4-9 and high physical activity groups reduced by 55% (HR=0.45, 95%CI: 0.38-0.53), 56% (HR=0.44, 95%CI: 0.32-0.59), and 40% (HR=0.60, 95%CI: 0.44-0.82), respectively. Conclusion: Type of dietary intake, physical activity, and their combined effects are associated with a reduced mortality risk in patients with T2DM.

Presence of Non-Diabetic Kidney Diseases in Biopsy Specimens of Diabetic Patients' Single Center Experience.

The complications of type 2 diabetes mellitus (T2DM) are well known and one of them is diabetic chronic kidney disease (DCKD). Over time, it has become clear that patients with T2DM can have nondiabetic chronic kidney diseases (NDCKD), especially those that affect the glomeruli. Clinical indicators for identifying DCKD from NDCKD with high sensitivity and specificity have not yet been identified. Therefore, kidney biopsy remains the golden standard for DCKD diagnosis in patients with T2DM. Despite some indications for kidney biopsy, criteria for a biopsy differ between countries, regions, and doctors. The aim of the study was to analyze the biopsy findings in our T2DM population and the justification of the biopsy according to widely accepted criteria. This single center retrospective study analyzed data from 74 patients with T2DM who underwent kidney biopsy from January 2014 to January 2021. According to the biopsy data, we categorized31 patients in the DN group, patients with typical diabetic glomerulopathy, 11 patients in the mixed group, patients who had pathohistological elements for both DN and non-DN glomerulopathy, and 32 patients in the non-DN group, patients with primary glomerulopathy not linked with DM. In the non-DN and mixed groups, the most frequent glomerulopathy was mesangioproliferative glomerulonephritis, including IgA and non-IgA forms, found in 10 patients, and membranous nephropathy (MN) in 10 patients. We analyzed several parameters and only the amount of proteinuria was found to be significantly linked to biopsy findings related to DN. With the existing criteria for kidney biopsy, we managed to detect changes in the kidneys in about half of our patients with T2DM. These patients required specific treatment, different from that which we use for DCKD patients.

Risk factors and drug discovery for cognitive impairment in type 2 diabetes mellitus using artificial intelligence interpretation and graph neural networks.

Among the 382 million diabetic patients worldwide, approximately 30% experience neuropathy, and one-fifth of these patients eventually develop diabetes cognitive impairment (CI). However, the mechanism underlying diabetes CI remains unknown, and early diagnostic methods or effective treatments are currently not available. This study aimed to explore the risk factors for CI in patients with type 2 diabetes mellitus (T2DM), screen potential therapeutic drugs for T2DM-CI, and provide evidence for preventing and treating T2DM-CI. This study focused on the T2DM population admitted to the First Affiliated Hospital of Hunan College of Traditional Chinese Medicine and the First Affiliated Hospital of Hunan University of Chinese Medicine. Sociodemographic data and clinical objective indicators of T2DM patients admitted from January 2018 to December 2022 were collected. Based on the Montreal Cognitive Assessment (MoCA) Scale scores, 719 patients were categorized into two groups, the T2DM-CI group with CI and the T2DM-N group with normal cognition. The survey content included demographic characteristics, laboratory serological indicators, complications, and medication information. Six machine learning algorithms were used to analyze the risk factors of T2DM-CI, and the Shapley method was used to enhance model interpretability. Furthermore, we developed a graph neural network (GNN) model to identify potential drugs associated with T2DM-CI. Our results showed that the T2DM-CI risk prediction model based on Catboost exhibited superior performance with an area under the receiver operating characteristic curve (AUC) of 0.95 (specificity of 93.17% and sensitivity of 78.58%). Diabetes duration, age, education level, aspartate aminotransferase (AST), drinking, and intestinal flora were identified as risk factors for T2DM-CI. The top 10 potential drugs related to T2DM-CI, including Metformin, Liraglutide, and Lixisenatide, were selected by the GNN model. Some herbs, such as licorice and cuscutae semen, were also included. Finally, we discovered the mechanism of herbal medicine interventions in gut microbiota. The method based on Interpreting AI and GNN can identify the risk factors and potential drugs associated with T2DM-CI.

Hand grip strength is inversely associated with total daily insulin dose requirement in patients with type 2 diabetes mellitus: a cross-sectional study.

Short-term (2 weeks to 3 months) insulin intensive therapy using continuous subcutaneous insulin infusion (CSII) can improve islet beta cell function and prolong glycemic remission in patients with newly diagnosed type 2 diabetes mellitus (T2DM). However, the total daily insulin dose (TDD, IU/kg/d) required to achieve near-normoglycemic control with CSII still needs to be frequently adjusted based on blood glucose monitoring. Although real-time continuous glucose monitoring (rtCGM), which measures the interstitial fluid glucose concentration continuously without much difficulty, facilitates the adjustment of insulin dosage, its adoption in the T2DM population is strictly limited by insurance coverage and lack of awareness of rtCGM among clinicians. Thus, it is of clinical significance to identify easy-to-use parameters that may allow a more rapid and accurate prediction of TDD requirement. This study aimed to explore the association between hand grip strength (HGS) and TDD requirement in patients with T2DM receiving CSII therapy. A total of 180 eligible patients with T2DM were enrolled in the study and divided into three groups based on their HGS: low (L), medium (M), and high (H). The TDD requirement was calculated on day 7 or 8 of CSII treatment. Anthropometric parameters, including HGS, skeletal muscle mass, skeletal muscle index (SMI) and 6-m gait speed, and laboratory data, were collected on the morning of the second day after admission, within the first 24 h of CSII therapy. These parameters were used to identify significant predictors of TDD requirement using Pearson or Spearman correlation test, and stepwise multiple regression analysis. There were no significant differences in age, duration of T2DM, waist-to-hip ratio (WHR), body mass index (BMI), blood pressure, liver function, estimated glomerular filtration rate, triglyceride, total cholesterol, glycosylated hemoglobin A1c (HbA1c), homeostatic model assessment of insulin resistance (HOMA-IR), and homeostasis model assessment of beta cell function (HOMA-β) among the groups. The H group had higher body muscle mass-to-fat ratio (BMFR), skeletal muscle mass-to-fat ratio (SMFR), SMI, 6-m gait speed, and lower TDD requirement than the M and L groups. The HGS negatively correlated with TDD requirement (r = -0.33, p < 0.001) after adjusting for sex, age, BMI, WHR, HbA1c, Ln (HOMA-β), Ln (HOMA-IR), Ln (BMFR), Ln (SMFR), SMI, and 6-m gait speed. Multivariate stepwise regression analysis indicated that HGS was an independent predictor of TDD requirement in patients with T2DM (β = -0.45, p < 0 001). Lower HGS is associated with an increased TDD requirement in T2DM patients. HGS may facilitate the prediction of TDD requirement in T2DM patients receiving CSII therapy.

Moderate elevation of serum uric acid levels improves short-term functional outcomes of ischemic stroke in patients with type 2 diabetes mellitus

BackgroundSerum uric acid (SUA), an end-product of purine catabolism diffused in the blood, is positively associated with the risk of type 2 diabetes mellitus (T2DM). However, in the T2DM population, the association of SUA fluctuation (DeltaSUA) with the functional outcome of ischemic stroke (IS) is still unclear. Accordingly, this study aimed to assess the correlation between DeltaSUA and short-term IS functional outcomes in T2DM patients.MethodsAll T2DM patients diagnosed with IS in the China National Stroke Registry III were included. DeltaSUA, which was defined as the difference between the SUA levels at baseline and 3 months after symptom onset, was classified into two groups, i.e., elevated DeltaSUA (DeltaSUA > 0) and reduced DeltaSUA (DeltaSUA le 0). The outcomes measured using the Modified Rankin Scale (mRS) were scored from 0 to 6, and poor functional outcome was defined as an mRS score of 3–6 at 3 months after IS.ResultsAmong the 1255 participants (mean age: 61.6 ± 9.8 years), 64.9% were men. Patients with elevated DeltaSUA had a lower incidence of poor functional outcomes at 3 months. Compared with reduced DeltaSUA, elevated DeltaSUA at 0–50 μmol/L (odds ratio [OR] = 0.46, 95% confidence interval [CI] = 0.28–0.78, p = 0.004) and 50–100 μmol/L (OR = 0.40, 95% CI = 0.21–0.77, p = 0.006) was significantly correlated with a reduced risk of poor functional outcomes at 3 months.ConclusionThis study showed that a moderate increase in DeltaSUA in the range of 0–100 μmol/L at 3 months after IS might be beneficial in T2DM adults and more studies are warranted to confirm this.

Retinol intake is associated with the risk of chronic kidney disease in individuals with type 2 diabetes mellitus: results from NHANES

The aim of this study was to investigate the potential association between retinol intake and the risk of chronic kidney disease (CKD) in individuals with type 2 diabetes mellitus (T2DM). The study included individuals diagnosed with T2DM between 2009 and 2018 from the NHANES database. Demographic and laboratory test data were collected for these individuals, as well as information on CKD diagnosis. Logistic regression models were utilized to estimate the relationship between different retinol intakes and the risk of CKD in patients with T2DM. A total of 3988 patients were included in the study. The mean prevalence of CKD in the T2DM population in the United States from 2009 to 2018 was 36.98 (0.02)%. Multivariate logistic regression analysis revealed a 26% decrease in the incidence of CKD in individuals with higher retinol intake compared to those with lower retinol intake in T2DM (OR = 0.74; 95% CI 0.56–0.98). Furthermore, an increase in retinol intake per 1-standard deviation (SD) was associated with a 16% decreased risk of the incidence of CKD (OR = 0.84; 95% CI 0.72–0.97). Lower retinol intake is an independent risk factor for the onset of CKD in patients with T2DM, and augmenting moderate quantities of retinol confers potential nephroprotective advantages.

Sleep measures and cardiovascular disease in type 2 diabetes mellitus

The objective of this study was to assess whether poor sleep is independently associated with cardiovascular disease in people with type 2 diabetes mellitus (T2DM). A cross-sectional study was performed in subjects with T2DM aged between 40 and 80 years. Sleep assessment was achieved by actigraphy and Pittsburgh Sleep Quality Index (PSQI) score. The study population comprised 108 subjects with T2DM. The mean age was 64.9 years, the median diabetes duration was 6 years and 73.1% were men. No association was shown between sleep parameters as assessed by actigraphy and T2DM-associated micro- and macrovascular complications. However, sleep quality as assessed by PSQI was significantly associated with macrovascular disease in univariate analysis. Multivariate logistic regression analysis showed red blood cell distribution width (RDW) (odds ratio (OR) 1.79, p=0.018) and good sleep quality (OR 0.35, p=0.017) to be independently associated. Binary logistic regression analysis revealed that body mass index (BMI) (OR 1.11, p=0.024), RDW (OR 1.95, p=0.007) and Center for Epidemiologic Studies Depression score (OR 1.06, p=0.012] were independently associated with abnormal carotid intima-media thickness (CIMT). Poor sleep quality and higher RDW levels are associated with macrovascular disease in a T2DM population. Increased BMI as well as depression also appear to have an independent role in subclinical atherosclerosis, as assessed by CIMT.

12,13-diHOME and noradrenaline are associated with the occurrence of acute myocardial infarction in patients with type 2 diabetes mellitus

BackgroundAcute myocardial infarction (AMI) is the most prevalent cause of mortality and morbidity in patients with type 2 diabetes mellitus (T2DM). However, strict blood glucose control does not always prevent the development and progression of AMI. Therefore, the present study aimed to explore potential new biomarkers associated with the occurrence of AMI in T2DM patients.MethodsA total of 82 participants were recruited, including the control group (n = 28), T2DM without AMI group (T2DM, n = 30) and T2DM with initial AMI group (T2DM + AMI, n = 24). The untargeted metabolomics using liquid chromatography-mass spectrometry (LC–MS) analysis was performed to evaluate the changes in serum metabolites. Then, candidate metabolites were determined using ELISA method in the validation study (n = 126/T2DM group, n = 122/T2DM + AMI group).ResultsThe results showed that 146 differential serum metabolites were identified among the control, T2DM and T2DM + AMI, Moreover, 16 differentially-expressed metabolites were significantly altered in T2DM + AMI compared to T2DM. Amino acid and lipid pathways were the major involved pathways. Furthermore, three candidate differential metabolites, 12,13-dihydroxy-9Z-octadecenoic acid (12,13-diHOME), noradrenaline (NE) and estrone sulfate (ES), were selected for validation study. Serum levels of 12,13-diHOME and NE in T2DM + AMI were significantly higher than those in T2DM. Multivariate logistic analyses showed that 12,13-diHOME (OR, 1.491; 95% CI 1.230–1.807, P < 0.001) and NE (OR, 8.636; 95% CI 2.303–32.392, P = 0.001) were independent risk factors for AMI occurrence in T2T2DM patients. The area under receiver operating characteristic (ROC) curve (AUC) were 0.757 (95% CI 0.697–0.817, P < 0.001) and 0.711(95% CI 0.648–0.775, P < 0.001), respectively. The combination of both significantly improved the AUC to 0.816 (95% CI 0.763–0.869, P < 0.001).Conclusions12,13-diHOME and NE may lead to understanding the possible metabolic alterations associated with AMI onset in T2DM population and serve as promising risk factors and therapeutic targets.