Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach.

Background: Identification of patients at risk for type 2 diabetes mellitus (T2DM) can not only prevent complications and reduce suffering but also ease the health care burden. While routine physical examination can provide useful information for diagnosis, manual exploration of routine physical examination records is not feasible due to the high prevalence of T2DM. Objectives: We aim to build interpretable machine learning models for T2DM diagnosis and uncover important diagnostic indicators from physical examination, including age- and sex-related indicators. Methods: In this study, we present three weighted diversity density (WDD)-based algorithms for T2DM screening that use physical examination indicators, the algorithms are highly transparent and interpretable, two of which are missing value tolerant algorithms. Patients: Regarding the dataset, we collected 43 physical examination indicator data from 11,071 cases of T2DM patients and 126,622 healthy controls at the Affiliated Hospital of Southwest Medical University. After data processing, we used a data matrix containing 16004 EHRs and 43 clinical indicators for modelling. Results: The indicators were ranked according to their model weights, and the top 25% of indicators were found to be directly or indirectly related to T2DM. We further investigated the clinical characteristics of different age and sex groups, and found that the algorithms can detect relevant indicators specific to these groups. The algorithms performed well in T2DM screening, with the highest area under the receiver operating characteristic curve (AUC) reaching 0.9185. Conclusion: This work utilized the interpretable WDD-based algorithms to construct T2DM diagnostic models based on physical examination indicators. By modeling data grouped by age and sex, we identified several predictive markers related to age and sex, uncovering characteristic differences among various groups of T2DM patients.

METS-IR and all-cause mortality in Korean over 60 years old: Korean genome and epidemiology study-health examinees (KoGES-HEXA) cohorts.

Background: The metabolic score for insulin resistance index (METS-IR) is a novel non insulin-based marker that indicates the risk for metabolic syndrome and type 2 diabetes mellitus (T2DM). However, METS-IR has not been investigated in relation to all-cause mortality. We investigated the longitudinal effect of METS-IR on all-cause mortality in a significantly large cohort of Korean adults over 60 years old. Methods: Data were assessed from 30,164 Korean participants over 60 years of age from the Korean Genome and Epidemiology Study-Health Examinees (KoGES-HEXA) cohort data, linked with the death certificate database of the National Statistical Office. The participants were grouped into three according to METS-IR tertiles. We used multivariate Cox proportional-hazard regression models to prospectively assess hazard ratios (HRs) for all-cause mortality with 95% confidence intervals (CIs) over an 11-year postbaseline period. Results: During the mean 11.7 years of follow-up, 2,821 individuals expired. The HRs of mortality for METS-IR tertiles were 1.16 (95% CI, 1.01-1.34) in T3 after adjustment for metabolic parameters, but the T2 did not show statistical significance towards increases for incident mortality respectively. In subgroup analysis depending on the cause of mortality, higher METS-IR was associated with cancer mortality (HR, 1.23, 95% CI, 1.01-1.51) but not with cardiovascular mortality (HR, 1.14, 95% CI, 0.83-1.57) after adjustment for the same confounding variables. Conclusion: The METS-IR may be a useful predictive marker for all-cause mortality and cancer mortality, but not for cardiovascular mortality in subjects over 60 years of age. This implies that early detection and intervention strategies for metabolic syndrome could potentially benefit this identified group.

Assessment of subclinical left ventricular systolic and diastolic dysfunction in patients with type 2 diabetes mellitus under follow-up at Tikur Anbessa specialized hospital, Ethiopia: a case-control study.

BACKGROUND: Individuals with diabetes mellitus are at increased risk of cardiovascular diseases, which in turn are the most common cause of morbidity and mortality in the diabetic population. A peculiar feature of cardiovascular diseases in this population is that they can have significant cardiac disease while remaining asymptomatic. There is a paucity of data regarding subclinical cardiac imaging features among diabetic adults in Africa, particularly in Ethiopia. This study was conducted to compare the magnitude and spectrum of left ventricular systolic and diastolic dysfunction among asymptomatic type 2 diabetic adults versus a normotensive, non-diabetic control group and to evaluate the determinants of left ventricular diastolic and systolic dysfunction. METHODS: This was a case-control study conducted at Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia. A standard transthoracic echocardiography was done for all study participants with type 2 diabetes mellitus and their normotensive and non-diabetic controls. Structured questionnaires were used to collect demographic and clinical characteristics and laboratory test results. Statistical analysis was done using the SPSS 25.0 software. The data was summarized using descriptive statistics. Bivariate and multivariate analysis was performed to determine the association between variables and echocardiographic parameters. The strength of statistical association was measured by adjusted odds ratios and 95% confidence intervals, with significant differences taken at p < 0.05. RESULTS: We analyzed age- and sex-matched 100 participants in the study (diabetic) group and 200 individuals in the control group. Left ventricular systolic and diastolic dysfunction were significantly more prevalent among diabetic adults than their sex and age matched controls. Among diabetic individuals, ages of 60 years and above, dyslipidemia, use of Metformin and Glibenclamide, high serum triglyceride level, presence of neuropathy and use of statins correlated significantly with the presence of left ventricular diastolic dysfunction. Chronic kidney disease and neuropathy were determinants of left ventricular systolic dysfunction. CONCLUSION: Left ventricular systolic and diastolic dysfunction were significantly more prevalent among diabetic patients than their sex- and age-matched controls in our study. We recommend early screening for subclinical left ventricular dysfunction, especially in the elderly and in those with chronic kidney disease, dyslipidemia, and microvascular complications such as neuropathy.

Association of cardiovascular disease prevalence with BMD and fracture in men with T2DM.

BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) are predisposed to cardiovascular disease (CVD). Bone mineral density (BMD) is linked to CVD, but most studies focused on women. Our analysis aims to explore the association of BMD and fracture with the prevalence of CVD in men with T2DM. METHODS: In this retrospective cross-sectional study, 856 men with T2DM were enrolled. BMDs at the lumbar spine (L2-4), femoral neck (FN), and total hip (TH) were measured by dual-energy X-ray absorptiometry (DXA). The CVD outcome was determined as the sum of the following conditions: congestive heart failure, coronary heart disease, angina pectoris, myocardial infarction, the requirement for coronary artery revascularization, and stroke. The relationship between BMDs and CVD was investigated by restricted cubic spline curves and logistic regression models. RESULTS: A total of 163 (19.0%) patients developed CVD. The restricted cubic spline curve revealed a linear and negative association between FN-BMD, TH-BMD, and CVD. After full adjustments for confounding covariates, the odds ratios were 1.34 (95% confidence interval [CI] [1.11-1.61], p < .05), 1.3 (95% CI [1.05-1.60], p < .05), and 1.26 (95% CI [1.02-1.55], p < .05) for each 1-SD decrease in BMDs of L2-4, FN and TH, respectively. T-scores of < -1 for BMD of L2-4 and FN were independently associated with CVD (p < .05). Subgroup analyses further supported our findings. CONCLUSIONS: The prevalence of CVD was inversely correlated with BMD levels in men with T2DM, particularly at the FN. We hypothesized that monitoring FN-BMD and early intervention would help reduce CVD risk in men with T2DM, especially those with hypertension.

Snoring is associated with hypertension and diabetes mellitus among adults in north Sudan: a cross-sectional study.

BACKGROUND: Different levels of association between snoring, hypertension, and diabetes mellitus (DM) are reported. There are few published studies on this topic in African countries, and no investigation was conducted in Sudan. This study aimed to assess the prevalence and factors associated with snoring and the association between snoring, hypertension, and type 2 DM (T2DM) in northern Sudan. METHODS: A community-based cross-sectional study using a multistage sampling technique was conducted in four villages in the River Nile state of northern Sudan from July to September 2021. Sociodemographic characteristics were collected using a questionnaire. Body mass index (BMI) was measured using standard methods, and a multivariate analysis was conducted using the Statistical Package for the Social Sciences® (SPSS®) for Windows, version 22.0. RESULTS: Of the 384 adults, 193 (50.3%) were males and 191 (49.7%) were females. Of the adults, 38 (9.9%) were underweight, 121 (31.5%) had average weight, 113 (29.4%) were overweight, and 112 (29.2%) were obese. One hundred and six (27.6%) adults were snorers. Multivariate analysis showed that increasing age (adjusted odds ratio [AOR] = 1.02, 95% confidence interval [CI] = 1.01‒1.04), increasing BMI (AOR = 1.04, 95 CI = 1.01‒1.08), obesity (AOR = 2.0, 95% CI = 1.10‒3.69), and alcohol consumption (AOR = 2.32, 95% CI = 1.14‒4.74) were positively associated with snoring. Of the 384 adults, 215 (56.0%) had hypertension. Multivariate analysis showed that increasing age (AOR = 1.04, 95% CI = 1.02‒1.06), increasing BMI (AOR = 1.08, 95% CI = 1.04‒1.13), female sex (AOR = 1.7, 95% CI = 1.08‒2.73), and snoring (AOR = 1.69, 95% CI = 1.02‒2.82) were positively associated with hypertension. One hundred and six (27.6%) adults had T2DM. Multivariate analysis showed that increasing age (AOR = 1.03, 95% CI = 1.01‒1.05) and snoring (AOR = 1.78, 95% CI = 1.09‒2.91) were associated with T2DM. CONCLUSION: Around one-fourth of the adults in Northern Sudan are snorers. Snoring is more common among obese adults. Snoring is associated with increased odds of hypertension and T2DM. Adults who snore must pay close attention to their blood pressure and blood glucose levels to prevent hypertension and DM.

Multiple dietary patterns and the association between long-term air pollution exposure with type 2 diabetes risk: Findings from UK Biobank cohort study.

BACKGROUND: Evidence of modifying effect of various dietary patterns (DPs) on risk of type 2 diabetes (T2D) induced by long-term exposure to air pollution (AP) is still rather lacking, which therefore we aimed to explore in this study. METHODS: We included 78,230 UK Biobank participants aged 40-70 years with at least 2 typical 24-hour dietary assessments and without baseline diabetes. The annual average concentration of particulate matter with diameter micrometers ≤2.5 (PM2.5) and ≤10 (PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOX) estimated by land use regression model was the alternative proxy of long-term AP exposure. Three well-known prior DPs such as Mediterranean diet (MED), dietary approaches to stop hypertension diet (DASH), and empirical dietary inflammatory pattern (EDIP), as well as three posterior DPs derived by the rank reduced regression model were used to capture participants' dietary habits. Cox regression models were used to estimate AP-T2D and DP-T2D associations. Modifying effect of DPs on AP-T2D association was assessed using stratified analysis and heterogeneity test. RESULTS: During a median follow-up 12.19 years, 1,693 participants developed T2D. PM2.5, PM10, NO2, and NOX significantly increased the T2D risk (P <0.05), with hazard ratio (HR) and 95% confidence interval (95% CI) for per interquartile range increase being 1.09 (1.02,1.15), 1.04 (1.00, 1.09), 1.11 (1.04, 1.18), and 1.08 (1.03, 1.14), respectively. Comparing high with low adherence, healthy DPs were associated with a 14-41% lower T2D risk. Participants with high adherence to MED, DASH, and anti-EDIP, alongside the posterior anti-oxidative dietary pattern (AODP) had attenuated and statistically non-significant NO2-T2D and NOX-T2D associations (Pmodify <0.05). CONCLUSIONS: Multiple forms of healthy DPs help reduce the T2D risk associated with long-term exposure to NO2 and NOX. Our findings indicate that adherence to healthy DPs is a feasible T2D prevention strategy for people long-term suffering from NO2 and NOX pollution.

Diabetic kidney disease screening status and related factors: a cross-sectional study of patients with type 2 diabetes in six provinces in China.

OBJECTIVE: To understand the awareness and practice of diabetic kidney disease (DKD) or nephropathy screening among community-based patients with type 2 diabetes in six provinces and cities in China, and to analyse the related factors affecting screening practices. METHODS: From December 2021 to March 2022, a cross-sectional survey was conducted using a structured questionnaire in 6230 patients with type 2 diabetes aged 18 years and older. The content of the questionnaire includes three parts: the general situation of diabetic patients (gender, age, ethnicity, marriage, education, occupation, etc.), DKD screening practices, and the evaluation of DKD screening services. RESULTS: 89.70% of the patients had their fasting blood glucose measured every six months, 21.12% of the patients had their glycosylated hemoglobin measured every six months, and only 13.11% and 9.34% of the patients had a urine protein-creatinine ratio test and estimated glomerular filtration rate test every 12 months. The proportions of glycosylated hemoglobin, urine protein-creatinine ratio, and estimated glomerular filtration rate were relatively high in young, northern, highly educated, and long-duration type 2 diabetic patients. CONCLUSION: The results of this survey found that the proportion of urine protein-creatinine ratio testing, estimated glomerular filtration rate testing, and glycosylated hemoglobin testing in Chinese patients with type 2 diabetes was very low. Patients with type 2 diabetes in rural areas, southern areas, with low education level, and short course of disease have lower detection rates for DKD, and hence lower rates of prevention and treatment.

Epidemiology of NAFLD - Focus on diabetes.

There is increasing appreciation of the complex interaction between nonalcoholic fatty liver disease (NAFLD) with type 2 diabetes (T2D) and insulin resistance. Not only is the prevalence of NAFLD disease high among patients with T2D, the liver disease is also more progressive. Currently, the global prevalence of NAFLD in the general population (2016-2019) is 38 %. The prevalence of T2D among those with NAFLD is approximately 23 % while the prevalence of NAFLD among those with T2D can be as high as 70 %. The prevalence of nonalcoholic steatohepatitis (NASH) is approximately 7 % in the general population and 37 % among patients with T2D. Globally, the MENA and Latin America regions of the world appear to have the highest burden of both NAFLD and T2D. Compared to those with NAFLD but without T2D, those with NAFLD and T2D are at a much higher risk for disease progression to cirrhosis and for decompensated cirrhosis, hepatocellular carcinoma, and all-cause mortality. Given that highly effective new treatments are available for T2D, high risk NAFLD with T2D should be considered for these regimens. This requires implementation of risk stratification algorithms in the primary care and endocrinology practices to identify those patients at highest risk for adverse outcomes.

[SGLT2 inhibitors, also in frail older adults?] / SGLT2-remmers, ook bij kwetsbare ouderen?

Sodium-glucose cotransporter 2 inhibitors (SGLT2 inhibitors) have gained prominence in the treatment of diabetes mellitus type 2, heart failure, and chronic kidney disease. However, concerns arise for frail older adults, given their underrepresentation in trials and heightened susceptibility to adverse drug events. This review summarizes the clinical effects of SGLT2 inhibitors in older adults with frailty. SGLT2 inhibitors seem to exhibit consistent cardiovascular benefits irrespective of age. As such, these drugs can be beneficial for older adults with 'cardiovascular frailty': in other words, cardiovascular multimorbidity. However, in the current data there is a lack of focus on the broader definition of frailty, which also includes functional status and self-dependence. Also, some research suggest that adverse events, such as volume depletion and genitourinary infections, are more common in the frail older population. Therefore, until more data is available, SGLT2 inhibitors should be prescribed with caution in older adults living with frailty.

A practical evidence-based approach to management of type 2 diabetes in children and young people (CYP): UK consensus.

BACKGROUND: Type 2 diabetes in young people is an aggressive disease with a greater risk of complications leading to increased morbidity and mortality during the most productive years of life. Prevalence in the UK and globally is rising yet experience in managing this condition is limited. There are no consensus guidelines in the UK for the assessment and management of paediatric type 2 diabetes. METHODS: Multidisciplinary professionals from The Association of Children's Diabetes Clinicians (ACDC) and the National Type 2 Diabetes Working Group reviewed the evidence base and made recommendations using the Grading Of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. RESULTS AND DISCUSSION: Young people with type 2 diabetes should be managed within a paediatric diabetes team with close working with adult diabetes specialists, primary care and other paediatric specialties. Diagnosis of diabetes type can be challenging with many overlapping features. Diabetes antibodies may be needed to aid diagnosis. Co-morbidities and complications are frequently present at diagnosis and should be managed holistically. Lifestyle change and metformin are the mainstay of early treatment, with some needing additional basal insulin. GLP1 agonists should be used as second-line agents once early ketosis and symptoms are controlled. Glycaemic control improves microvascular but not cardiovascular risk. Reduction in excess adiposity, smoking prevention, increased physical activity and reduction of hypertension and dyslipidaemia are essential to reduce major adverse cardiovascular events. CONCLUSIONS: This evidence-based guideline aims to provide a practical approach in managing this condition in the UK.

A machine learning approach to predicting vascular calcification risk of type 2 diabetes: A retrospective study.

BACKGROUND: Recently, patients with type 2 diabetes mellitus (T2DM) have experienced a higher incidence and severer degree of vascular calcification (VC), which leads to an increase in the incidence and mortality of vascular complications in patients with T2DM. HYPOTHESIS: To construct and validate prediction models for the risk of VC in patients with T2DM. METHODS: Twenty-three baseline demographic and clinical characteristics were extracted from the electronic medical record system. Ten clinical features were screened with least absolute shrinkage and selection operator method and were used to develop prediction models based on eight machine learning (ML) algorithms (k-nearest neighbor [k-NN], light gradient boosting machine, logistic regression [LR], multilayer perception [(MLP], Naive Bayes [NB], random forest [RF], support vector machine [SVM], XGBoost [XGB]). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, and precision. RESULTS: A total of 1407 and 352 patients were retrospectively collected in the training and test sets, respectively. Among the eight models, the AUC value in the NB model was higher than the other models (NB: 0.753, LGB: 0.719, LR: 0.749, MLP: 0.715, RF: 0.722, SVM: 0.689, XGB:0.707, p < .05 for all). The k-NN model achieved the highest sensitivity of 0.75 (95% confidence interval [CI]: 0.633-0.857), the MLP model achieved the highest accuracy of 0.81 (95% CI: 0.767-0.852) and specificity of 0.875 (95% CI: 0.836-0.912). CONCLUSIONS: This study developed a predictive model of VC based on ML and clinical features in type 2 diabetic patients. The NB model is a tool with potential to facilitate clinicians in identifying VC in high-risk patients.

Relationship of thyroid dysfunction and its manifestations in diabetes mellitus patients in the Kingdom of Saudi Arabia.

OBJECTIVE: Both diabetes mellitus (DM) and thyroid dysfunction (TD) are endocrinopathies that are frequently inclined to coexist in patients. Most studies avoid explicitly supporting or opposing testing thyroid function for diabetic patients as a baseline. The association between hypothyroidism and diabetes is considerable when assessing thyroid functions in diabetic individuals based on clinical suspicion. Therefore, this study aimed to assess the relationship between thyroid dysfunction and its manifestations in DM patients in the Kingdom of Saudi Arabia. SUBJECTS AND METHODS: The study included 301 DM subjects. A questionnaire divided into two sections was administered to all participants. The first section involved questions about diabetes control, monitoring, and disease severity. The second section included questions about thyroid disease and the 14-item Hypothyroidism Clinical Prediction (HCP) score we created for our research. The HCP score was obtained by summing up all discrete scores for different symptoms of hypothyroidism. ROC curve analysis was used to assess the predicted hypothyroidism cases based on the most precise cut-off point for the HCP overall score (highest sensitivity and specificity). HCP discriminant ability for detecting hypothyroid cases was assessed considering the Area Under the Curve (AUC) as a measurement. RESULTS: Almost 53 (17.6%) diabetes mellitus subjects were previously diagnosed with hypothyroidism. Comparatively, regarding the given cut-off point, the total number of predicted hypothyroidism cases using the HCP score was 149 (49.5%). The most reported symptoms included tiredness (75%), followed by irritability (72%), and difficulty in losing weight (65%). Hypothyroidism was detected/predicted among 60.1% of female diabetics vs. 44.2% of males with recorded statistical significance (p=.006). CONCLUSIONS: This study further proves a significant association between diabetes and hypothyroidism in Saudi Arabia. We recommend periodic screening for thyroid dysfunction in the diabetic population in specific cases; since some patients with diabetes are more likely to have hypothyroidism based on their clinical presentation.

Clarifying the causal contrast: An empirical example applying the prevalent new user study design.

PURPOSE: The prevalent new user design extends the active comparator new user design to include patients switching to a treatment of interest from a comparator. We examined the impact of adding "switchers" to incident new users on the estimated hazard ratio (HR) of hospitalized heart failure. METHODS: Using MarketScan claims data (2000-2014), we estimated HRs of hospitalized heart failure between patients initiating GLP-1 receptor agonists (GLP-1 RA) and sulfonylureas (SU). We considered three estimands: (1) the effect of incident new use; (2) the effect of switching; and (3) the effect of incident new use or switching, combining the two population. We used time-conditional propensity scores (TCPS) and time-stratified standardized morbidity ratio (SMR) weighting to adjust for confounding. RESULTS: We identified 76 179 GLP-1 RA new users, of which 12% were direct switchers (within 30 days) from SU. Among incident new users, GLP-1 RA was protective against heart failure (adjHRSMR = 0.74 [0.69, 0.80]). Among switchers, GLP-1 RA was not protective (adjHRSMR = 0.99 [0.83, 1.18]). Results in the combined population were largely driven by the incident new users, with GLP-1 RA having a protective effect (adjHRSMR = 0.77 [0.72, 0.83]). Results using TCPS were consistent with those estimated using SMR weighting. CONCLUSIONS: When analyses were conducted only among incident new users, GLP-1 RA had a protective effect. However, among switchers from SU to GLP-1 RA, the effect estimates substantially shifted toward the null. Combining patients with varying treatment histories can result in poor confounding control and camouflage important heterogeneity.

Access to Specialty Care for Commercially Insured Youths With Type 1 and Type 2 Diabetes.

Importance: Youths with type 2 diabetes are at higher risk for complications compared with peers with type 1 diabetes, though few studies have evaluated differences in access to specialty care. Objective: To compare claims with diabetes specialists for youths with type 1 vs type 2 diabetes and the association between specialist claims with multidisciplinary and acute care utilization. Design, Setting, and Participants: This cross-sectional study used Optum Clinformatics Data Mart commercial claims. Individuals included in the study were youths younger than 19 years with type 1 or 2 diabetes as determined by a validated algorithm and prescription claims. Data were collected for youths with at least 80% enrollment in a commercial health plan from December 1, 2018, to December 31, 2019. Statistical analysis was performed from September 2022 to January 2024. Main Outcomes and Measures: The primary outcome was the number of ambulatory claims from an endocrine and/or diabetes physician or advanced practice clinician associated with a diabetes diagnosis code; secondary outcomes included multidisciplinary and acute care claims. Results: Claims were analyzed for 4772 youths (mean [SD] age, 13.6 [3.7] years; 4300 [90.1%] type 1 diabetes; 472 [9.9%] type 2 diabetes; 2465 [51.7%] male; 128 [2.7%] Asian, 303 [6.4] Black or African American, 429 [9.0%] Hispanic or Latino, 3366 [70.5%] non-Hispanic White, and 546 [11.4%] unknown race and ethnicity). Specialist claims were lower in type 2 compared with type 1 diabetes (incidence rate ratio [IRR], 0.61 [95% CI, 0.52-0.72]; P < .001) in propensity score-weighted analyses. The presence of a comorbidity was associated with increased specialist claims for type 1 diabetes (IRR, 1.07 [95% CI, 1.03-1.10]) and decreased claims for type 2 diabetes (IRR, 0.77 [95% CI, 0.67-0.87]). Pooling diagnosis groups and adjusted for covariates, each additional specialist claim was associated with increased odds of a claim with a diabetes care and education specialist (odds ratio [OR], 1.31 [95% CI, 1.25-1.36]), dietitian (OR, 1.14 [95% CI, 1.09-1.19]), and behavioral health clinician (OR, 1.16 [95% CI, 1.12-1.20]). For acute care claims, each additional specialist claim was associated with increased odds of admission (OR, 1.17 [95% CI, 1.11-1.24]) but not for emergency claims (OR, 1.03 [95% CI, 0.98-1.82]). Conclusions and Relevance: This cross-sectional study found that youths with type 2 diabetes were significantly less likely to have specialist claims despite insurance coverage, indicating other barriers to care, which may include medical complexity. Access to diabetes specialists influences engagement with multidisciplinary services. The association between increasing ambulatory clinician services and admissions suggests high utilization by a subgroup of patients at greater risk for poor outcomes.

Associations of birth weight, plasma metabolome in adulthood and risk of type 2 diabetes.

AIMS: We aimed to examine the longitudinal associations of birth weight with plasma metabolites in adulthood, and further quantify the proportions of the links between birth weight and incident adult type 2 diabetes (T2D) that were mediated by plasma metabolites. MATERIALS AND METHODS: A total of 62,033 participants with complete nuclear magnetic resonance metabolomics and birth weight data from the UK Biobank were included in this study. Linear regression was used to assess the associations between birth weight and metabolites. Cox regression was used to estimate hazard ratios for T2D associated with metabolites. We further performed mediation analyses to estimate the extent to which metabolites might mediate the association between birth weight and T2D risk. RESULTS: Low birth weight was associated with the adverse metabolic responses across multiple metabolic pathways, including lipoprotein subclasses, amino acids, fatty acids (FA), and inflammation. Metabolites associated with higher birth weight tended to be associated with a lower risk of T2D (Pearson correlation coefficient: -0.85). A total of 62 metabolites showed statistically significant mediation effects in the protective association of higher birth weight and T2D risk, including large-sized very low-density lipoprotein particles and triglyceride concentrations as well as saturated, and monounsaturated FA and glycoprotein acetyls. CONCLUSIONS: We identified a range of metabolites that reflect the adult metabolic response to birth weight, some of which might lie on the pathway between birth weight and adult T2D risk.

Burden of Thyroid Dysfunction Among Type 2 Diabetes Mellitus Patients in South East Nigeria with Emphasis on its Prevalence and Pattern of Presentation: A Case-Controlled Study.

BACKGROUND: Studies from different parts of the world on thyroid dysfunction have shown it to be widespread in patients with type 2 diabetes mellitus (T2DM); however, there is insufficient local data to support this observation. AIM: To determine the burden of thyroid dysfunction among patients with T2DM at a Tertiary Hospital in Southeast Nigeria with emphasis on its prevalence and pattern of presentation. METHODS: Four hundred and seventy-two subjects were recruited for the study. All the subjects (100%) were of African descent. Three hundred and fifty-four (354) of them were patients with T2DM, while 118 subjects who did not have T2DM served as the controls. This study is a descriptive cross-sectional study involving patients with type 2 diabetes mellitus attending the Diabetes Clinic or receiving treatment in the Medical Wards. Subjects were recruited using systematic sampling. The first patient was selected by simple random sampling, and subsequently, every consecutive subject was selected. Blood samples were tested for HbA1c, fT3, fT4, thyrotropin, and thyroid stimulating hormone. Socio-demographic information was retrieved from patient medical records. We used the Student's t-test for statistical comparison of quantitative variables such as weight, height, blood pressure, serum TSH, and serum T3; while for comparison of proportions, we used a Chi-squared test. We set a p-value of less than 0.05 to be statistically significant. RESULTS: Females formed the majority of the study population accounting for 56.5% of the type 2 DM patients and 62.7% of the controls. We observed that the mean age of the type 2 DM patients was 57.5 (±9.3) years, which was similar to the mean age of controls: 57.7±8.9 (p=0.17). We also observed that the mean age at diagnosis of DM was 54±7.6 years, while the mean duration of DM for all the type 2 DM patients was 6.5±2.8 years. We observed that in patients with T2DM, the prevalence of thyroid dysfunction was 12.4% and among the controls, a prevalence of 1.7% was observed (P <0.05). Females formed the majority (75%) of T2DM patients with thyroid dysfunction and hypothyroidism was the most common type of thyroid dysfunction (93.2%) observed in this study. CONCLUSION: The prevalence of thyroid dysfunction in T2DM patients in this study was 12.4% which was high compared to 1.7% observed in the controls (P = 0.001). The majority of those who had thyroid dysfunction were females. About 9 in 10 of all subjects with thyroid dysfunction had hypothyroidism.

CONTEXTE: Des études menées dans différentes régions du monde sur la dysfonction thyroïdienne ont montré qu'elle est répandue chez les patients atteints de diabète sucré de type 2 (T2DM) ; cependant, il existe des données locales insuffisantes pour étayer cette observation. OBJECTIF: Déterminer la charge de la dysfonction thyroïdienne chez les patients atteints de T2DM dans un hôpital tertiaire du sud-est du Nigeria, en mettant l'accent sur sa prévalence et son modèle de présentation. MÉTHODES: Quatre cent soixante-douze sujets ont été recrutés pour l'étude. Tous les sujets (100 %) étaient d'origine africaine. Trois cent cinquante-quatre (354) d'entre eux étaient des patients atteints de T2DM, tandis que 118 sujets ne présentaient pas de T2DM et servaient de témoins. Cette étude est une étude transversale descriptive impliquant des patients atteints de diabète sucré de type 2 fréquentant la clinique du diabète ou recevant un traitement dans les services de médecine. Les sujets ont été recrutés par échantillonnage systématique. Le premier patient a été sélectionné par échantillonnage aléatoire simple, et par la suite, chaque sujet consécutif a été sélectionné. Des échantillons de sang ont été testés pour l'HbA1c, le fT3, le fT4 et la thyrotropine, hormone stimulant la thyroïde. Les informations sociodémographiques ont été récupérées à partir des dossiers médicaux des patients. Nous avons utilisé le test t de Student pour la comparaison statistique des variables quantitatives telles que le poids, la taille, la pression artérielle, la TSH sérique et la T3 sérique ; tandis que pour la comparaison des proportions, nous avons utilisé un test du Chi-carré. Nous avons fixé une valeur de p inférieure à 0,05 pour être statistiquement significative. RÉSULTATS: Les femmes formaient la majorité de la population étudiée, représentant 56,5 % des patients atteints de DM de type 2 et 62,7 % des témoins. Nous avons observé que l'âge moyen des patients atteints de DM de type 2 était de 57,5 (±9,3) ans, ce qui était similaire à l'âge moyen des témoins: 57,7±8,9 (p=0,17). Nous avons également observé que l'âge moyen au diagnostic du DM était de 54±7,6 ans, tandis que la durée moyenne du DM pour l'ensemble des patients atteints de DM de type 2 était de 6,5±2,8 ans. Nous avons observé que chez les patients atteints de T2DM, la prévalence de la dysfonction thyroïdienne était de 12,4 % et parmi les témoins, une prévalence de 1,7 % a été observée (P <0,05). Les femmes formaient la majorité (75 %) des patients atteints de T2DM avec une dysfonction thyroïdienne et l'hypothyroïdie était le type le plus courant de dysfonction thyroïdienne (93,2 %) observé dans cette étude. CONCLUSION: La prévalence de la dysfonction thyroïdienne chez les patients atteints de T2DM dans cette étude était de 12,4 %, ce qui était élevé par rapport à 1,7 % observé chez les témoins (P = 0,001). La majorité de ceux qui avaient une dysfonction thyroïdienne étaient des femmes. Environ 9 sujets sur 10 présentant une dysfonction thyroïdienne avaient une hypothyroïdie. MOTS-CLÉS: Dysfonction thyroïdienne; Diabète sucré de type 2; Hypothyroïdie; Sud-est du Nigeria; Prévalence.

Lactation duration and development of type 2 diabetes and metabolic syndrome in postpartum women with recent gestational diabetes mellitus.

BACKGROUND: The World Health Organization and United Nations Children's Fund recommend exclusive breastfeeding (EBF) for the first six months of an infant's life. Although evidence suggests that maintaining breastfeeding has positive impacts on glucose and lipid metabolism in postpartum women with a history of gestational diabetes mellitus (GDM), no study has investigated whether such effects differ between breastfeeding intensities. This study aimed to evaluate the impact of maintaining breastfeeding on prediabetes, type 2 diabetes mellitus (T2DM), and metabolic syndrome (MetS) six months postpartum in women with GDM. This study also examined the potential variations in glucometabolic outcomes between EBF at six months and partial breastfeeding at six months. METHODS: This prospective cohort study included 130 women with recent GDM who experienced live births between 7 September 2020 and 31 January 2023 at a university hospital in Bangkok, Thailand. All the women were free of T2DM and MetS at baseline (six weeks postpartum). We followed up these women six months postpartum to assess their breastfeeding practices (EBF at six months, partial breastfeeding at six months, or not maintaining breastfeeding) and evaluate their progression to prediabetes, T2DM, and MetS. Maintaining breastfeeding was defined as breastfeeding for six months. EBF was determined using the "recall since birth" method. RESULTS: Of the 130 participants included, the rates of prediabetes, T2DM, and MetS six months postpartum were 33% (n = 43), 2% (n = 3), and 17% (n = 22), respectively. In the unadjusted model, maintaining breastfeeding was associated with a reduction in the risks of prediabetes and MetS but not T2DM. After adjusting for potential confounders, maintaining breastfeeding was a significant protective factor only for prediabetes. The adjusted risk ratios and 95% confidence intervals were 0.54 (0.29, 0.99) for prediabetes and 0.47 (0.19, 1.06) for MetS. When EBF at six months and partial breastfeeding at six months were separately analyzed, the risks of prediabetes and MetS differed between the two groups. In the EBF at six months-to-partial breastfeeding at six months comparison, the adjusted risk ratios (95% confidence intervals) of prediabetes and MetS were 0.46 (0.22, 0.97) vs. 0.79 (0.25, 2.49) and 0.34 (0.11, 0.99) vs. 0.69 (0.22, 2.07), respectively. CONCLUSIONS: Maintaining breastfeeding reduced the risk of prediabetes and MetS, but not of T2DM, six months postpartum; these effects were significant only with EBF. These findings indicate that supporting maternal efforts to practice EBF for six months may improve women's health after GDM. TRIAL REGISTRATION: Thai Clinical Trials Registry Registration No. TCTR20200902003. Date of registration: September 2, 2020. Date of initial participant enrollment: September 7, 2020.

Association of Gut Microbiota-Related Metabolites and Type 2 Diabetes in Two Puerto Rican Cohorts.

(1) Aims: Gut microbiota metabolites may play integral roles in human metabolism and disease progression. However, evidence for associations between metabolites and cardiometabolic risk factors is sparse, especially in high-risk Hispanic populations. We aimed to evaluate the cross-sectional and longitudinal relationships between gut microbiota related metabolites and measures of glycemia, dyslipidemia, adiposity, and incident type 2 diabetes in two Hispanic observational cohorts. (2) Methods: We included data from 670 participants of the Boston Puerto Rican Health Study (BPRHS) and 999 participants of the San Juan Overweight Adult Longitudinal Study (SOALS). Questionnaires and clinical examinations were conducted over 3 years of follow-up for SOALS and 6 years of follow-up for BPRHS. Plasma metabolites, including L-carnitine, betaine, choline, and trimethylamine N-oxide (TMAO), were measured at baseline in both studies. We used multivariable linear models to evaluate the associations between metabolites and cardiometabolic risk factors and multivariable logistic and Poisson regressions to assess associations with prevalent and incident type 2 diabetes, adjusted for potential confounding factors. Cohort-specific analyses were combined using a fixed-effects meta-analysis. (3) Results: Higher plasma betaine was prospectively associated with lower fasting glucose [-0.97 mg/dL (95% CI: -1.59, -0.34), p = 0.002], lower HbA1c [-0.02% (95% CI: -0.04, -0.01), p = 0.01], lower HOMA-IR [-0.14 (95% CI: -0.23, -0.05), p = 0.003], and lower fasting insulin [-0.27 mcU/mL (95% CI: -0.51, -0.03), p = 0.02]. Betaine was also associated with a 22% lower incidence of type 2 diabetes (IRR: 0.78, 95% CI: 0.65, 0.95). L-carnitine was associated with lower fasting glucose [-0.68 mg/dL (95% CI: -1.29, -0.07), p = 0.03] and lower HbA1c at follow-up [-0.03% (95% CI: -0.05, -0.01), p < 0.001], while TMAO was associated with higher fasting glucose [0.83 mg/dL (95% CI: 0.22, 1.44), p = 0.01] and higher triglycerides [3.52 mg/dL (95% CI: 1.83, 5.20), p < 0.0001]. Neither choline nor TMAO were associated with incident type 2 diabetes. (4) Conclusions: Higher plasma betaine showed consistent associations with a lower risk of glycemia, insulinemia, and type 2 diabetes. However, TMAO, a metabolite of betaine, was associated with higher glucose and lipid concentrations. These observations demonstrate the importance of gut microbiota metabolites for human cardiometabolic health.