Development and validation of nomograms for predicting cardiovascular disease risk in patients with prediabetes and diabetes.

This study aimed to develop and validate distinct nomogram models for assessing CVD risk in individuals with prediabetes and diabetes. In a cross-sectional study design, we examined data from 2294 prediabetes and 1037 diabetics who participated in the National Health and Nutrition Examination Survey, which was conducted in the United States of America between 2007 and 2018. The dataset was randomly divided into training and validation cohorts at a ratio of 0.75-0.25. The Boruta feature selection method was used in the training cohort to identify optimal predictors for CVD diagnosis. A web-based dynamic nomogram was developed using the selected features, which were validated in the validation cohort. The Hosmer-Lemeshow test was performed to assess the nomogram's stability and performance. Receiver operating characteristics and calibration curves were used to assess the effectiveness of the nomogram. The clinical applicability of the nomogram was evaluated using decision curve analysis and clinical impact curves. In the prediabetes cohort, the CVD risk prediction nomogram included nine risk factors: age, smoking status, platelet/lymphocyte ratio, platelet count, white blood cell count, red cell distribution width, lactate dehydrogenase level, sleep disorder, and hypertension. In the diabetes cohort, the CVD risk prediction nomogram included eleven risk factors: age, material status, smoking status, systemic inflammatory response index, neutrophil-to-lymphocyte ratio, red cell distribution width, lactate dehydrogenase, high-density lipoprotein cholesterol, sleep disorder, hypertension, and physical activity. The nomogram models developed in this study have good predictive and discriminant utility for predicting CVD risk in patients with prediabetes and diabetes.

Long-term outcome of patients with diabetic-range hyperglycemia first detected during admission for COVID-19: A single-center observational study.

Background and Objective: Diabetic-range hyperglycemia has been reported for the first time in many patients during their hospitalization with coronavirus disease 2019 (COVID-19). This study was undertaken to determine the proportion of such patients who actually have new-onset diabetes mellitus rather than transient hyperglycemia during acute illness. Methods: This descriptive study included patients with diabetic-range hyperglycemia first detected at or during admission for COVID-19 but no prior history of diabetes. The study protocol involved patient identification, data recording from the case-notes, and telephonic follow-ups. Blood sugar levels done at least two weeks after discharge or the last dose of steroids, whichever was later, were recorded, and patients were categorized as diabetic, pre-diabetic, or non-diabetic accordingly. Results: Out of 86 patients, ten (11.6%) were found to have developed diabetes, and 13 (15.1%) had pre-diabetes on follow-up. About 63 (73.3%) patients had become normoglycemic. Eight (80%) out of the ten patients with new-onset diabetes were on treatment, with five (50%) achieving the target glycemic levels. The associations of new-onset diabetes with age, gender, comorbidities, intensive care stay, and steroid administration were not found to be statistically significant (p-values 0.809, 0.435, 0.324, 0.402, and 0.289, respectively). Interpretation and Conclusions: While a majority of post-COVID patients with diabetic-range hyperglycemia returned to a normoglycemic state after the acute illness had settled down, one in ten developed new-onset diabetes, and an additional one in seven had impaired glucose tolerance. Thus, regular glucose screening is crucial for such patients and lifestyle modifications should be encouraged to reduce the risk of diabetes. Loss to follow-up and reliance on a single set of blood sugar readings for classification were some of the limitations of this study.

Defining continuous glucose monitor time in range in a large community-based cohort without diabetes.

CONTEXT: Continuous glucose monitor (CGM) companies are beginning to market these sensors to populations without diabetes, but the range of CGM values clinicians should expect to see for this population is unclear because there have been no large studies reporting these ranges. OBJECTIVE: To report the physiological range of continuous glucose monitor (CGM) time in range values observed across glycemic status, including individuals without diabetes, to serve as a reference for clinicians. DESIGN: The Framingham Heart Study, a prospective cohort study. SETTING: Community-dwelling individuals. PATIENTS OR PARTICIPANTS: Adults with normoglycemia (n=560), prediabetes (n=463), and diabetes (n=152). INTERVENTION: We conducted a cross-sectional investigation in participants who wore a Dexcom G6 Pro CGM for ≥7 complete days. MAIN OUTCOME MEASURES: CGM metrics including mean glucose and time spent in glucose ranges. RESULTS: Normoglycemic participants (mean age 58.5y, 64.5% women, 93.3% non-Hispanic white) spent 87.0% time in the 70-140mg/dL CGM range, and, on average, >15min/day (1.2% time) >180mg/dL. Furthermore, normoglycemic participants spent ∼3 hours/day (12.1% time) with CGM glucose >140mg/dL. On average, participants with prediabetes and diabetes spent 77.1% and 46.2% time in 70-140mg/dL, respectively. CONCLUSIONS: Our results contribute to the understanding of the physiological CGM range in >1000 participants without diabetes. These results are also important for clinicians to reference as CGM sensors become more widely accessible to people without known diabetes.

Effectiveness of NSW health get healthy telephone coaching in adults screened from general practices.

BACKGROUND: The effectiveness of the NSW Health "Get Healthy Information and Coaching Service®"(Get Healthy) to facilitate weight loss on a population scale has been documented, but this was based on self-reported measures. Our study aims to test the effectiveness of the Get Healthy Service on objectively measured weight, BMI, waist circumference, and changes in other health behaviours, including nutrition, physical activity and alcohol intake. METHODS: Men and women aged 40-70 years (n = 154) with pre-diabetes (5.7% < HbA1c < 6.5%) were referred from GP Practices to the Get Healthy Service, NSW Health. A subset (n = 98) participated in the "Zinc In Preventing the Progression of pre-Diabetes" (ZIPPeD) trial (ACTRN12618001120268). RESULTS: The self-reported outcomes showed a statistically significant improvement from baseline to 12 months in weight (mean 2.7 kg loss, p < 0.001), BMI (mean 1 unit reduction, p < 0.001), and waist circumference (mean 4.3 cm reduction, p < 0.001). However, in the objectively measured outcomes from ZIPPeD, the differences were more modest, with point estimates of 0.8 kg mean weight loss (p = 0.1), 0.4 unit reduction in BMI (p = 0.03), and 1.8 cm reduction in waist circumference (p = 0.04). Bland-Altman plots indicated that discrepancies were due to a small number of participants who dramatically underestimated their weight or BMI. There were minimal changes in nutrition, physical activity, and alcohol. CONCLUSIONS: The potential benefits of Get Healthy should be interpreted with caution as we have shown significant differences between self-reported and objectively measured values. More valid and objective evidence is needed to determine the program's effectiveness and cost-effectiveness.

Sex-Specific Elevated Fasting Glucose in Patients with Major Depressive Disorder.

Background: This study aimed to test whether the relationship between Major Depressive Disorder (MDD) and prediabetes is sex-specific and explored potential pathways. Methods: One hundred sixty-eight participants were enrolled, and 142 completed the study for data analysis. Participants were divided into patients with MDD (n=58) and without MDD, i.e., controls (n=84). The Oral Glucose Tolerance Test (OGTT) was conducted, and the serum cortisol levels of each participant were also measured. Demographic variables were analyzed using t-tests or chi-square tests. Covariance analysis was conducted to test the measures derived from OGTT and cortisol levels between groups. Results: There was no difference in fasting glucose, 2-hour post-prandial levels, and indices of insulin sensitivity between MDD and control groups. However, in a stratified and sex-comparative analysis, female participants with MDD had higher fasting glucose and cortisol levels than female controls, but this was not seen in males. Also, fasting glucose was positively correlated with the severity of depression in females with MDD. Conclusion: Females with MDD have the highest risk of developing prediabetes compared to female controls and males, possibly through cortisol. Fasting glucose and cortisol could be biomarkers to recognize prediabetes in females with MDD for early intervention and better outcomes.

A systematic review and meta-analysis of ischemia-modified albumin in diabetes mellitus.

Aim: There is an ongoing search for novel biomarkers of diabetes. We conducted a systematic review and meta-analysis of the serum concentrations of ischemia-modified albumin (IMA), a candidate biomarker of oxidative stress, acidosis, and ischemia, in patients with pre-diabetes, different types of diabetes mellitus (type 1, T1DM, type 2, T2DM, and gestational, GDM), and healthy controls. Methods: We searched for case-control studies published in PubMed, Web of Science, and Scopus from inception to December 31, 2023. The risk of bias and the certainty of evidence were assessed using the Joanna Briggs Institute Critical Appraisal Checklist and GRADE, respectively. Results: In 29 studies, T2DM patients had significantly higher IMA concentrations when compared to controls (standard mean difference, SMD = 1.83, 95 % CI 1.46 to 2.21, p˂0.001; I2 = 95.7 %, p < 0.001; low certainty of evidence). Significant associations were observed between the SMD and glycated hemoglobin (p = 0.007), creatinine (p = 0.003), triglycerides (p = 0.029), and the presence of diabetes complications (p = 0.003). Similar trends, albeit in a smaller number of studies, were observed in T1DM (two studies; SMD = 1.59, 95 % CI -0.09 to 3.26, p˂0.063; I2 = 95.8 %, p < 0.001), GDM (three studies; SMD = 3.41, 95 % CI 1.14 to 5.67, p = 0.003; I2 = 97.0 %, p < 0.001) and pre-diabetes (three studies; SMD = 15.25, 95 % CI 9.86 to 20.65, p˂0.001; I2 = 99.3 %, p < 0.001). Conclusion: Our study suggests that IMA is a promising biomarker for determining the presence of oxidative stress, acidosis, and ischemia in pre-diabetes and T1DM, T2DM, and GDM. However, the utility of measuring circulating IMA warrants confirmation in prospective studies investigating clinical endpoints in pre-diabetes and in different types of diabetes (PROSPERO registration number: CRD42024504690).

Glycemic status and effect on mortality: Multifactorial prevention programme for cardiovascular disease in Finnish primary care.

AIMS: To compare 13-year mortality rates in normoglycemic, prediabetic and diabetic subjects attending a community-based screening and intervention programme. METHODS: Population survey identified 2569 cardiovascular disease (CVD) white risk subjects aged 45-70 years and without manifested CVD or diabetes. Oral glucose tolerance test was performed, and multifactorial intervention was provided. Effect of glycemic status on mortality was estimated in models adjusted for age, gender, education years, smoking, body mass index, mean arterial pressure, total cholesterol, and physical activity. RESULTS: Of the subjects, 2055 (77 %) were normoglycemic, 380 (14 %) had prediabetes and 224 (9 %) diabetes. Compared to the normoglycemic group, the fully adjusted hazard ratios (HR) for all-cause mortality were 1.34 (95 % CI: 0.98-1.83) in the prediabetes group and 2.31 (95 % CI: 1.62-3.31) in the diabetes group. Standardized mortality rates were 0.63 (95 % CI: 0.54-0.73), 0.91 (95 % CI: 0.69-1.18), and 1.55 (95 % CI: 1.19-2.02) in the normoglycemic, prediabetes, and diabetes groups, respectively. The most common cause of death was cancer (42 % of all deaths), followed by CVD (28 %). CONCLUSIONS/INTERPRETATION: Screen-detected diabetes carries a substantial risk of death even after primary care intervention. The pattern of excess mortality has shifted towards cancer deaths.

Non-linear relationship between TyG index and the risk of prediabetes in young people: a 5-year retrospective cohort study in Chinese young adults.

Objective: Given the limited evidence on the relationship between the triglyceride-glucose (TyG) index and the risk of prediabetes among young adults, our study aimed to investigate the potential impact of the TyG index on the future development of prediabetes in young individuals. Methods: This retrospective cohort study included 125,327 healthy adults aged 20 to 45 years. We utilized Cox proportional hazards regression models, combined with cubic spline functions and smooth curve fitting, to assess the relationship between baseline TyG index and the risk of prediabetes among young adults, exploring its non-linear association. A series of sensitivity analyses and subgroup analyses were conducted to ensure the robustness of our findings. Results: After adjusting for covariates, the study found a positive correlation between the TyG index and the risk of prediabetes (HR=1.81, 95%CI: 1.54-2.13, p<0.0001). The risk of prediabetes increased progressively across quartiles of the TyG index (Q1 to Q4), with Q4 showing a significantly higher risk compared to Q1 (adjusted HR=2.33, 95% CI=1.72-3.16). Moreover, a non-linear relationship was identified between the TyG index and the risk of prediabetes, with an inflection point at 9.39. To the left of the inflection point, the HR was 2.04 (95% CI: 1.69 to 2.46), while to the right, the HR was 0.89 (95% CI: 0.48 to 1.65). Conclusion: Our study reveals a non-linear relationship and a saturation effect between the TyG index and the development of prediabetes among young individuals in China, with an inflection point at 9.39. Understanding this non-linear relationship can assist clinicians in identifying young individuals at high risk and implementing targeted interventions to reduce their risk of progressing to diabetes.

N-terminal pro-B-type natriuretic peptide levels vary by ethnicity and are associated with insulin sensitivity after gestational diabetes mellitus.

BACKGROUND: Individuals of South Asian origin have a greater risk of cardiovascular disease after gestational diabetes mellitus (GDM) than European individuals. B-type natriuretic peptide (BNP) and the amino-terminal fragment of its prohormone (NT-proBNP) are commonly used for heart failure screening and diagnosis, but biologically BNP exerts several beneficial cardiovascular effects primarily by counteracting the renin-angiotensin-aldosterone-system. We asked whether ethnic differences in circulating NT-proBNP levels could be explained by the differences in cardiometabolic and inflammatory risk markers? METHODS: We examined 162 South Asian and 107 Nordic women in Norway 1-3 years after GDM with a clinical examination, fasting blood samples and an oral glucose tolerance test. We measured the levels of NT-proBNP, high-sensitivity cardiac troponin T, high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), leptin, adiponectin and markers of insulin sensitivity, such as the Matsuda insulin sensitivity index (ISI). Finally, we tried to identify which independent covariate best mediated the ethnic differences in NT-proBNP. RESULTS: The mean (SD) age was 35.3 (4.5) years, BMI 29.1 (6.0) kg/m2, waist-height ratio 0.60 (0.08) and 164 women (61%) had prediabetes/diabetes. Notably, South Asian women had lower levels of NT-proBNP than Nordic women in both the normoglycemic and prediabetes/diabetes groups (median (IQR) 26  (15-38)  vs. 42 (22-66) ng/L, p < 0.001). Higher NT-proBNP levels were associated with greater insulin sensitivity in both South Asian and Nordic women (p = 0.005 and p < 0.001). South Asian women had higher levels of hsCRP (median (IQR) 2.2 (1.1-4.4) vs. 1.2 (0.3-4.2) mg/L), IL-6 (2.3 (1.5-3.2) vs. 1.5 (1.5-2.5) pg/mL), leptin (1647 (1176-2480) vs. 1223 (876-2313) pmol/L), and lower adiponectin levels (7.2 (5.3-9.3) vs. 10.0 (7.2-13.5) mg/L) and Matsuda ISI (2.4 (1.7-3.7) vs. 4.2 (2.9-6.1), pall<0.01) than Nordic women. Even after adjusting for these differences, higher NT-proBNP levels remained associated with insulin sensitivity (22% higher NT-proBNP per SD Matsuda ISI, p = 0.015). Insulin sensitivity and adiponectin mediated 53% and 41% of the ethnic difference in NT-proBNP. CONCLUSIONS: NT-proBNP levels are lower in South Asian than in Nordic women after GDM. Lower NT-proBNP levels correlate with impaired insulin sensitivity. Lower NT-proBNP levels in South Asian women could, therefore, be attributed to impaired insulin sensitivity rather than total body fat.

Glymphatic function and its influencing factors in different glucose metabolism states.

BACKGROUND: Dysfunction of the glymphatic system in the brain in different stages of altered glucose metabolism and its influencing factors are not well characterized. AIM: To investigate the function of the glymphatic system and its clinical correlates in patients with different glucose metabolism states, the present study employed diffusion tensor imaging along the perivascular space (DTI-ALPS) index. METHODS: Sample size was calculated using the pwr package in R software. This cross-sectional study enrolled 22 patients with normal glucose metabolism (NGM), 20 patients with prediabetes, and 22 patients with type 2 diabetes mellitus (T2DM). A 3.0T magnetic resonance imaging was used to evaluate the function of the glymphatic system. The mini-mental state examination (MMSE) was used to assess general cognitive function. The DTI-ALPS index of bilateral basal ganglia and the mean DTI-ALPS index was calculated. Further, the correlation between DTI-ALPS and clinical features was assessed. RESULTS: The left-side, right-side, and mean DTI-ALPS index in the T2DM group were significantly lower than that in the NGM group. The right-side DTI-ALPS and mean DTI-ALPS index in the T2DM group were significantly lower than those in the prediabetes group. DTI-ALPS index lateralization was not observed. The MMSE score in the T2DM group was significantly lower than that in the NGM and prediabetes group. After controlling for sex, the left-side DTI-ALPS and mean DTI-ALPS index in the prediabetes group were positively correlated with 2-hour postprandial blood glucose level; the left-side DTI-ALPS index was negatively correlated with total cholesterol and low-density lipoprotein level. The right-side DTI-ALPS and mean DTI-ALPS index were negatively correlated with the glycosylated hemoglobin level and waist-to-hip ratio in the prediabetes group. The left-side, right-side, and mean DTI-ALPS index in the T2DM group were positively correlated with height. The left-side and mean DTI-ALPS index in the T2DM group were negatively correlated with high-density lipoprotein levels. CONCLUSION: Cerebral glymphatic system dysfunction may mainly occur in the T2DM stage. Various clinical variables were found to affect the DTI-ALPS index in different glucose metabolism states. This study enhances our understanding of the pathophysiology of diabetic brain damage and provides some potential biological evidence for its early diagnosis.

Atrial fibrillation and prediabetes: A liaison that merits attention!

Atrial fibrillation (AF) and prediabetes share common pathophysiological mechanisms with endothelial dysfunction and inflammation playing a key role. The resultant vicious cycle which sets in culminates in a higher atherogenicity and thermogenicity of the vascular system resulting in increased major adverse cardiac or cerebrovascular event (MACCE) events. However, the same has not convincingly been verified in real-world settings. In the recent retrospective study by Desai et al amongst AF patients being admitted to hospitals following MACCE, prediabetes emerged as an independent risk factor for MACCE after adjusting for all confounding variables. However, certain questions like the role of metformin, quantifying the risk for MACCE amongst prediabetes compared to diabetes, the positive impact of reversion to normoglycemia remain unanswered. We provide our insights and give future directions for dedicated research in this area to clarify the exact relationship between the two.

Prevalence of Diabetes Mellitus in People Living With HIV in Dammam, Saudi Arabia.

Backgrounds The incidence of diabetes mellitus (DM) in people living with human immunodeficiency virus (HIV) receiving highly active antiretroviral therapy (HAART) is thought to be higher than that in noninfected people. The aim of this study was to investigate the prevalence of DM among people living with HIV in Dammam, Saudi Arabia (SA). Methods This was a cross-sectional study that included adult patients with HIV who were followed at Dammam Medical Complex. The electronic medical records of the patients were reviewed for their demographic data, comorbid conditions, and HIV history (e.g., duration and medications). The patients were categorized based on their glycated hemoglobin (A1C) levels into nondiabetic patients (A1C < 5.7%), prediabetic patients (A1C between 5.7% and 6.4%), and diabetic patients (A1C ≥ 6.5). Results A total of 769 HIV patients were assessed. The A1C of 325 patients could not be retrieved. The remaining 444 patients were included in the analysis. These consisted of 71 female patients (15.99%) and 373 male patients (84.01%). The average age of the patients was 38.62±11.33 years. Their duration for living with HIV was on average 3.76±3.15 years. The cohort consisted of 290 nondiabetic patients (65.32%), 107 prediabetic patients (24.1%), and 47 diabetic patients (10.59%). The nondiabetic patients were generally younger than the prediabetic patients (35.97 vs 40.72 years on average, P value < 0.001). They were infected with HIV for shorter durations (3.45 vs 4.19 years on average, P value < 0.05) with a higher percentage of patients receiving antiretroviral therapy (97.93% vs 84.11%, P value < 0.001). Similarly, the nondiabetic patients were generally younger than the diabetic patients (35.97 vs 50.19 years on average, P value < 0.001). They were also infected with HIV for shorter durations (3.45 vs 4.65 years on average, P value < 0.05) with, also, a higher percentage of patients receiving antiretroviral therapy (97.93% vs 89.36%, P value < 0.01). Conclusions The prevalence of DM among people living with HIV in Dammam, SA, was high with DM remaining highly underdiagnosed in this population. However, the prevalence of DM in this study involving mostly HIV patients treated with newer HAART agents was lower than what was reported in multiple previous studies that included patients using older agents.

Charting Wellness in India: Piloting the iTHRIVE's Functional Nutrition Approach to Improve Glycaemic and Inflammatory Parameters in Prediabetes and Type 2 Diabetes Mellitus.

Introduction Type 2 diabetes mellitus (T2DM) is characterized by elevation of blood glucose levels due to underlying insulin resistance and inflammation. Multiple modifiable risk factors such as unhealthy dietary habits, physical inactivity, obesity, smoking and psychological stress contribute to T2DM. We investigated the efficacy of a comprehensive functional nutrition approach aimed at mitigating T2DM using the iTHRIVE approach which encompassed anti-inflammatory and elimination diets, micronutrient supplements, physical activity, stress management and environmental modifications through a pre-post study design. The research assessed changes in blood glucose and inflammatory markers following the implementation of the functional nutrition program. Methods A prospective pre-post intervention pilot study was conducted at ThriveTribe Wellness Solutions Pvt Ltd. (iTHRIVE), where 50 study participants from urban areas of Pune city, India (n=25 each group) were recruited voluntarily in the age group of 20-60 years. The participants were subjected to 90 days of the iTHRIVE functional nutrition approach which consisted of eliminating certain inflammatory foods and adding a combination of nutritious organic foods, adding dietary supplements like magnesium, vitamin D, alpha lipoic acid, chromium picolinate, berberine and biogymnema, physical activities like resistance training, stress reduction techniques like meditation and deep breathing exercises along with environmental changes. The blood parameters like fasting blood glucose, postprandial blood glucose, glycated haemoglobin (HbA1C), fasting serum insulin, post-prandial serum insulin, high sensitivity C-reactive protein (hs-CRP), erythrocyte sedimentation rate (ESR), vitamin D, body weight and waist circumference were measured before and after the intervention. The changes were statistically analyzed using a paired t-test. Results The mean age of the participants was found to be 43.76±10.58 years. Around 68% of the participants were prediabetic (HbA1c: 5.7-6.4%) and 32% had T2DM (HbA1c ≥6.5%). A significant reduction was observed in the average HbA1c (13.75% reduction, p<0.0001), average post-prandial blood glucose levels (14.51% reduction, p<0.048), average post-prandial serum insulin (34.31% reduction, p<0.017) and average ESR levels (34.51% reduction, p<0.006). The hs-CRP levels were reduced by 6.6%, but not statistically significant. The average body weight of the participants dropped from 78.59±15.18 kg to 75.20±14.20 kg with a mean loss of 2.91 kg (p<0.05) whereas the waist circumference decreased from 37.54±5.09 to 35.97±4.74 inches with an average loss of 1.19 inches (p<0.0004). Conclusions Following the intervention, several health indicators indicated significant improvements. Particularly, there was a significant drop in HbA1c levels, suggesting better long-term blood glucose control. Blood glucose and serum insulin levels after a meal dropped significantly, indicating enhanced insulin sensitivity. There was a decrease in systemic inflammation as evidenced by the decrease in ESR levels. These results imply that the iTHRIVE functional nutrition approach used in this investigation might be beneficial for enhancing glycemic control and insulin sensitivity, along with reducing inflammatory markers in people with prediabetes and T2DM. Larger sample sizes and longer periods of monitoring would be useful in subsequent research to validate and build on these encouraging findings.

The Relationship Between Polychlorinated and Polybrominated Biphenyls and Glycated Hemoglobin among Electronics Workers.

Background: Polychlorinated biphenyls (PCBs) are persistent organic pollutants classified as endocrine disruptors related to prediabetes and diabetes. Polybrominated biphenyls are similar in structure to PCBs and are used as flame retardants. Due to the increased worldwide prevalence of diabetes, there is increased interest in understanding the role of environmental and occupational pollutants in its development. The study aims to assess the relation between PCBs and PBBs in the serum of electronic workers and glycated hemoglobin level as an early indicator of prediabetes and type 2 diabetes mellitus among occupationally exposed workers. Methods: Blood samples were collected from 152 workers to assess PCBs (by GCMS), random blood sugar (RBS), and glycated hemoglobin (HbA1c). Participants were classified into two groups according to the presence or absence of PCBs in their serum and were compared for RBS and HbA1c levels. Results: Only two participants had detectable PCB derivate in their serum by GCMS, PCB 1 with methyl and benzole side chains. Regarding PBBs, 18 participants (12%) had detectable PBBs in their serum by GCMS. All participants had RBS and HbA1c levels within the normal range. No statistically significant difference was found between mean levels of RBS and HbA1c between participants with detected biphenyls and those without. Conclusion: The banning of PCB use in industry and modern automated techniques have prevented exposure to PCBs among electronics workers. However, exposure to PBBs continues in electronic industries, but it has no association with diabetes or prediabetes.

The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) as a predictor of all-cause and cardiovascular mortality in US adults with diabetes or prediabetes: NHANES 1999-2018.

BACKGROUND: The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) serves as a novel composite lipid indicator for atherosclerosis. However, the association between NHHR and mortality in patients with diabetes or prediabetes remains unclear. Consequently, the objective of this study was to investigate the relationship between NHHR and both all-cause and cardiovascular mortality in US adults with diabetes or prediabetes. METHODS: This study included 12,578 adult participants with diabetes or prediabetes from the US National Health and Nutrition Examination Survey (1999-2018). Mortality outcomes were ascertained by linking to the National Death Index (NDI) record up to December 31, 2019. We employed a weighted multivariate Cox proportional hazards model and restricted cubic splines to assess the associations between NHHR and all-cause and cardiovascular mortality. A segmented Cox proportional hazards model was used for evaluating threshold effects. Furthermore, a competing risks analysis was performed to explore the relationship between NHHR and cardiovascular mortality. RESULTS: During a median follow-up period of 8.08 years, 2403 participants encountered all-cause mortality, with 662 of them specifically succumbing to cardiovascular mortality. The restricted cubic splines revealed a U-shaped association between NHHR and all-cause mortality, while an L-shaped association was observed for cardiovascular mortality. The analysis of threshold effects revealed that the inflection points for NHHR and all-cause and cardiovascular mortality were 2.72 and 2.83, respectively. Specifically, when the baseline NHHR was below the inflection points, a negative correlation was observed between NHHR and both all-cause mortality (HR: 0.76, 95% CI: 0.68-0.85) and cardiovascular mortality (HR: 0.70, 95% CI: 0.57-0.85). Conversely, when the baseline NHHR exceeded the inflection points, a positive correlation was observed between NHHR and both all-cause mortality (HR: 1.11, 95% CI: 1.06-1.16) and cardiovascular mortality (HR: 1.08, 95% CI: 1.00-1.16). CONCLUSIONS: Among US adults with diabetes or prediabetes, a U-shaped association was observed between NHHR and all-cause mortality, whereas an L-shaped association was identified with cardiovascular mortality. The inflection points for all-cause and cardiovascular mortality were 2.72 and 2.83, respectively.

Dietary inflammation influences the prevalence of cardiovascular diseases in prediabetes and diabetes patients: findings from the National Health and Nutrition Examination Survey (NHANES 2001-2018).

Prediabetes is an early phase before diabetes. Diabetes and dietary inflammation are two crucial factors that are strongly associated with cardiovascular diseases (CVDs). Dietary interventions slowed the progression of diabetes and CVD. However, the associations between CVDs and dietary inflammation in different stages of pathoglycaemia have not been investigated. To explore the effect of a proinflammatory diet on CVD incidence at different stages of diabetes, NHANES (2001-2018) data were collected and analysed. A total of 3137 CVD patients with a comparable non-CVD group (n = 3137) were enrolled after propensity score matching (PSM) analysis. These patients were subsequently categorized into three subgroups: those with diabetes (n = 3043), those with prediabetes (n = 1099) and those with normoglycemia (n = 2132). The DII (Dietary inflammatory index) is a risk factor for CVD, both in overall individuals and in each subgroup of population-based information. In diabetic individuals, the odds ratios (ORs) (95% CIs) of CVD incidence for the DII were 1.10 (1.05, 1.15) and 1.08 (1.03, 1.13) according to the crude and adjusted models, respectively. For individuals with prediabetes, the ORs (95% CIs) of CVD risk for DII were 1.05 (0.97, 1.14) and 1.11 (1.01, 1.22) according to the crude and adjusted models, respectively. After adjusting for population-based information and hypertension status, the DII appeared to have the highest OR for individuals with prediabetes, and no significant association was found between the DII score and CVD risk in the normoglycemia group. Moreover, the OR of CVD for DII in the uncontrolled diabetes group was 1.06 (0.98, 1.16)*. These results suggest that the DII is more closely associated with the risk of CVDs in prediabetic and diabetic populations, and we should pay more attention to diet control before a person develops diabetes to prevent CVD progression.

Association of body roundness index with diabetes and prediabetes in US adults from NHANES 2007-2018: a cross-sectional study.

OBJECTIVE: The present study examined the ability of the body roundness index (BRI) to predict the incidence of diabetes and prediabetes among adults in the USA. METHOD: The study enrolled 11,980 adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (NHANES). Logistic regression served as the primary method for analyzing the relevant link between BRI and the incidence of diabetes and prediabetes, including univariate analysis, multivariate regression analysis, smooth curve fitting analysis, and subgroup analysis. What's more, receiver operating characteristic (ROC) analysis was applied to confirm the predictive values of BRI for diabetes and prediabetes. RESULTS: Each unit higher than BRI was associated with a 17% increased risk of diabetes and prediabetes after covariate adjustments (OR: 1.17, 95% CI: 1.07-1.27). Those with BRI in the high scores (Q4) possessed an increased likelihood of having diabetes and prediabetes than individuals in the reference group (OR: 1.83, 95% CI: 1.29-2.58). A smooth curve fitting analysis revealed a non-linear trend. The results across all population subgroups were uniform to those of the total population. The ROC curve indicated that the BRI was the best predictor of diabetes and prediabetes among other anthropometric indices. CONCLUSIONS: Diabetes and prediabetes occurrence rates and BRI have a positive and non-linear relationship in American adults. The BRI indices could function as predictive markers for diabetes and prediabetes.

Association of frailty index with all-cause and cardiovascular mortality with different diabetic status: NHANES 1999-2018.

AIMS: The relationship between frailty and mortality among individuals with varying diabetic statuses represents a burgeoning area of concern and scholarly interest within the medical community. However, there are limited studies that explore the relationship between frailty and mortality, as well as cause-specific mortality among individuals with non-diabetes, prediabetes, and diabetes patients. Hence, this study aims to investigate the relationship between the frailty statues and all-cause mortality, as well as cause-specific mortality in individuals with varying diabetic statuses using the data in the NHANES database. METHODS: The study utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018, incorporating a final sample size of 57, 098 participants. Both univariable and multivariable-adjusted logistic regression analyses, as well as Cox regression analysis were employed to examine the relationship between frailty index (FI) and mortality. RESULTS: This study, found a significant positive correlation between the frailty and the increased risk of all-cause mortality non-diabetic [OR 4.277, 95%CI (3.982, 4.594), P < 0.001], prediabetic [OR 2.312, 95%CI (2.133, 2.506), P < 0.001], and diabetic patients [OR 3.947, 95%CI (3.378, 4.611), P < 0.001]. This correlation still existed even after adjusting for confounding factors including age, sex, BMI, poverty, fasting insulin, education, smoke, alcohol drink, waist, hypertension, hyperlipidemia, fasting glucose, HbA1c, eGFR, creatinine and total bilirubin. Our result also suggested a significant positive correlation between the frailty index and the increased risk of CVD mortality among non-diabetic [OR 3.095, 95%CI (2.858, 3.352), P < 0.001] and prediabetic [OR 5.985, 95%CI (5.188, 6.904), P < 0.001] individuals. However, in patients with diabetes, the correlation between frailty and CVD mortality lost significance after adjusting for possible confounding factors [OR 1.139, 95%CI (0.794, 1.634), P > 0.05]. CONCLUSION: A nonlinear relationship has been identified between the FI and all-cause mortality, as well as CVD mortality in non-diabetic and pre-diabetic population. In diabetic patients, there was a significant positive correlation between the frailty and the increased risk of all-cause mortality, but not with CVD mortality. Renal function and liver function might potentially acted as an intermediary factor that elevated the risk of CVD mortality in frail patients with diabetes.

Prediabetes and the risk of peripheral artery disease: a meta-analysis.

BACKGROUND: Peripheral artery disease (PAD) is a significant vascular condition that can lead to severe complications, including limb ischemia and cardiovascular events. This meta-analysis aims to evaluate the association between prediabetes, an intermediate state between normoglycemia and diabetes, and the risk of developing PAD. METHODS: A comprehensive search of PubMed, EMBASE, and Web of Science databases was conducted to identify relevant cohort studies up to April 12, 2024. Data extraction was performed independently by two reviewers, and any discrepancies were resolved by consensus. Pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated using a random-effects model to account for heterogeneity among studies. RESULTS: A total of eight cohort studies comprising 90133 participants were included in the meta-analysis. The pooled analysis revealed that individuals with prediabetes had a significantly higher risk of PAD compared to those with normoglycemia (RR = 1.27, 95% CI: 1.13-1.42, p < 0.001; I2 = 55%). Subgroup analyses indicated that the association was stronger in prediabetes defined by mildly elevated hemoglobin A1c (RR: 1.47) compared to those defined by impaired fasting glucose (RR: 1.21) or impaired glucose tolerance (RR: 1.17, p for subgroup difference < 0.001). In addition, a stronger association was observed for studies reporting clinically diagnosed PAD compared to studies that included asymptomatic PAD (RR: 1.32 versus 0.92, p for subgroup difference = 0.02). CONCLUSIONS: This meta-analysis demonstrates a significant association between prediabetes and an increased risk of PAD in generally community-derived population.

Remnant cholesterol is more positively related to diabetes, prediabetes, and insulin resistance than conventional lipid parameters and lipid ratios: A multicenter, large sample survey.

BACKGROUND: Not many large-sample investigations are available that compare the potency of the relationship of remnant cholesterol (RC) and other lipid parameters with diabetes and prediabetes. The goals of our study are to discover the relationship between RC and prediabetes, diabetes, and insulin resistance (IR) and to investigate RC, high-density lipoprotein cholesterol (HDL-C), non-HDL-C, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), TC/HDL-C, LDL-C/HDL-C, and TG/HDL-C, which are the lipid parameters that are most positively related to diabetes, prediabetes, and IR. METHODS: This research enrolled 36 684 subjects from China's eight provinces. We employed multiple logistic regression analysis for testing the relationship between lipid parameters and diabetes, prediabetes, and IR. RESULTS: After adjusting for potential confounders, and comparing the results with other lipid parameters, the positive relationship between RC and diabetes (odds ratio [OR] 1.417, 95% confidence interval [CI]: 1.345-1.492), prediabetes (OR 1.555, 95% CI: 1.438-1.628), and IR (OR 1.488, 95% CI: 1.404-1.577) was highest. RC was still related to diabetes, prediabetes, and IR even when TG <2.3 mmol/L (diabetes: OR 1.256, 95% CI: 1.135-1.390; prediabetes: OR 1.503, 95% CI: 1.342-1.684; and IR: OR 1.278, 95% CI: 1.140-1.433), LDL-C <2.6 mmol/L (diabetes: OR 1.306, 95% CI: 1.203-1.418; prediabetes: OR 1.597, 95% CI: 1.418-1.798; and IR: OR 1.552, 95% CI: 1.416-1.701), or HDL-C ≥1 mmol/L (diabetes: OR 1.456, 95% CI: 1.366-1.550; prediabetes: OR 1.553, 95% CI: 1.421-1.697; and IR: OR 1.490, 95% CI: 1.389-1.598). CONCLUSION: RC is more positively related to diabetes, prediabetes, and IR than conventional lipids and lipid ratios in the general population, the relationships between RC and diabetes, prediabetes, and IR are stable, even if HDL-C, LDL-C, or TG are at appropriate levels.