Diabetes Status Research Articles

Effects of sodium-dependent glucose transporter 2 inhibitors in patients with type 2 diabetes mellitus and asymptomatic heart failure

Sodium-dependent glucose transporter 2 inhibitors (SGLT2i) have been increasingly used with proven efficacy in patients with heart failure (HF), regardless of diabetes status. Grubić Rotkvić et al recently published an observational study on SGLT2i therapy in patients with type 2 diabetes mellitus and asymptomatic HF. They found that the use of SGLT2i led to reduced cardiac load and improved cardiovascular performance, reinforcing the evolving paradigm that SGLT2i are not merely glucose-lowering agents but are integral to the broader management of cardiovascular risk in patients with type 2 diabetes mellitus. The study by Grubić Rotkvić et al contributes to the growing body of literature supporting the early use of SGLT2i in patients with diabetic cardiomyopathy, offering a potential strategy to mitigate the progression of HF. Future larger studies should be conducted to confirm these findings, and explore the long-term cardiovascular benefits of SGLT2i, particularly in asymptomatic patients at risk of developing HF.

SGLT2 inhibitors in the prevention of diabetic cardiomyopathy: Targeting the silent threat

Heart failure (HF) is a major global health challenge, particularly among individuals with type 2 diabetes mellitus (T2DM), who are at significantly higher risk of developing HF. Diabetic cardiomyopathy, a unique form of heart disease, often progresses silently until advanced stages. Recent research has focused on sodium-dependent glucose transporter 2 inhibitors (SGLT2i), originally developed for hyperglycemia, which have shown potential in reducing cardiovascular risks, including HF hospitalizations, irrespective of diabetic status. In this editorial we comment on the article by Grubić Rotkvić et al published in the recent issue of the World Journal of Cardiology. The investigators examined the effects of SGLT2i on myocardial function in T2DM patients with asymptomatic HF, finding significant improvements in stroke volume index and reductions in systemic vascular resistance, suggesting enhanced cardiac output. Additionally, SGLT2i demonstrated anti-inflammatory and antioxidant effects, as well as blood pressure reduction, though the study’s limitations—such as small sample size and observational design—necessitate larger randomized trials to confirm these findings. The study underscores the potential of early intervention with SGLT2i in preventing HF progression in T2DM patients.

Dermatological manifestations in diabetes mellitus and its relation with HbA1c levels – An observational study

Diabetes Mellitus is a chronic, metabolic disease characterised by elevated levels of blood glucose, which over time leads to serious damage. The most common is type 2 diabetes which occurs when body becomes resistant to insulin or doesn’t make enough insulin. Skin manifestations are seen generally in pre-diabetes, undiagnosed, long-term and uncontrolled diabetes mellitus. Skin symptoms may help in diagnosing a denovo case and may give an insight into the patient's diabetic status. This is a cross-sectional, observational study conducted in patients attending the outpatient departments of Dermatology, General Medicine and those admitted under these departments over a period of four months. Clearance from Institutional Ethics Committee was taken before the start of the study. A sample population of 100 was selected randomly based on inclusion and exclusion criteria. Glycaemic profiles including HbA1c were done. Infections (35%) were the most common cutaneous symptoms, followed by papulosquamous illnesses (19%), autoimmune diseases (7%), obesity-related (6%), diabetic vasculopathy-related (5%) and miscellaneous conditions (28%), which included generalised pruritus and xerosis etc. The majority of infections were superficial fungal infections, followed by bacterial and viral infections. Dermatophytosis accounted for a majority of superficial fungal infections. Significant correlation was found between higher HbA1c levels and infections, papulo-squamous diseases, auto-immune diseases, obesity-related manifestations.Higher HbA1c levels were found to be significantly associated with a variety of cutaneous symptoms such as infections, papulosquamous illnesses, autoimmune disorders, and obesity-related manifestations.

To evaluate and compare the effect of diabetes and complete denture wearing on the occurrence of Mucor isolates in edentulous geriatric patients

Objectives: The objective of this study was to explore the impact of diabetes and complete denture use on the presence of Mucor isolates in edentulous geriatric patients. Material and Methods: Intraoral swab samples were collected using a sterile culture device, focusing on the center of the hard palate for all patient groups. Immediately after collection, each sample was immersed in a sterile culture-collecting device containing normal saline to prevent swab drying. Subsequently, these swabs were isolated and cultured in Sabouraud’s dextrose agar medium at a temperature range of 25–30°C. Results: Statistical analysis using the Chi-square test revealed no Mucor isolates in any of the four groups. However, the combination of diabetes and complete denture use led to the isolation of other commensal fungi in 65% of samples, contrasting with the non-diabetic, non-denture-wearing group where this occurrence was only 5%. Conclusion: The study concluded that there was no observable correlation between the occurrence of Mucor isolates in edentulous geriatric patients, irrespective of complete denture use, or diabetic status. Nevertheless, the coexistence of diabetes and complete denture use significantly increased the presence of opportunistic fungi in the oral cavity compared to non-diabetic, non-denture-wearing patients.

Influence of impaired glucose tolerance and type 2 diabetes on the multimorbidity cluster of cardiovascular disease and cancer: a post hoc analysis of the Da Qing Diabetes Prevention Outcome Study.

This study explored the influence of type 2 diabetes and impaired glucose tolerance (IGT) on the risk of the multimorbidity cluster of cardiovascular disease (CVD) and cancer. A total of 1629 participants in the Da Qing Diabetes Prevention Outcome Study were recruited in the present analysis, including normal glucose tolerance (NGT, N = 492), IGT (N = 540), and newly diagnosed type 2 diabetes (N = 597) groups. Cox proportional hazards analyses were performed to assess the relationship between NGT, IGT, and newly diagnosed type 2 diabetes and the risk of the multimorbidity cluster of CVD and cancer. The incidence rates for multimorbidity cluster CVD and cancer were 1.25, 3.17, and 3.23 per 1000 person-years in people with NGT, IGT, and the newly diagnosed type 2 diabetes groups, respectively, over 34-year follow-up. Cox analysis revealed that diabetes status (as time-dependent variable) was significantly associated with the subsequent increased risk of multimorbidity cluster of CVD and cancer compared with non-diabetes (hazard ratios [HR] = 2.55, 95% confidence interval [CI] 1.51-4.31) after adjustment of potential confounders. Similar analysis showed that this risk was significantly higher in the IGT and newly diagnosed type 2 diabetes groups compared with NGT, with HR of 3.28 (95% CI 1.83-5.87) and HR of 3.90 (95% CI 2.14-7.09), respectively. Whereas compared diabetes with IGT group, this risk was not significantly different. Similar to newly diagnosed type 2 diabetes, IGT is significantly associated with an increased risk of the multimorbidity cluster of CVD and cancer compared with NGT. This finding highlights the urgent need for an active detection of IGT and effective prevention and management of diabetes.

Relationship between diabetes-related clinical characteristics and preserved ratio impaired spirometry (PRISm): findings from NHANES 2007–2012

IntroductionTo analyse the relationship between diabetes, its severity (including blood glucose levels, disease duration, antidiabetic drug use and number of comorbidities) and preserved ratio impaired spirometry (PRISm) using data from...

Impaired Kidney Function and 10-Year Outcome After Percutaneous Coronary Intervention—Interaction with Age, Sex, Diabetic Status and Clinical Presentation

Background: Limited evidence exists regarding the association of chronic kidney disease (CKD) with long-term outcomes following percutaneous coronary intervention (PCI). We aimed to assess the association of CKD with 10-year outcome after PCI. Methods: This study included 5571 patients with coronary artery disease (CAD) undergoing PCI. Patients were categorized in groups according to the estimated glomerular filtration rate (eGFR) values: eGFR ≥ 90 mL/min/1.73 m2, (normal kidney function), 60 to <90 mL/min/1.73 m2 (mild kidney impairment), 30 to <60 mL/min/1.73 m2 (mild-to-moderate and moderate-to-severe kidney impairment) and <30 mL/min/1.73 m2 (severe kidney impairment). The primary endpoint was all-cause mortality at 10 years. Results: All-cause deaths occurred in 155 patients (86.3%) with eGFR < 30 mL/min/1.73 m2, 602 patients (59.1%) with eGFR 30 to <60 mL/min/1.73 m2, 775 patients (31.3%) with eGFR 60 to <90 mL/min/1.73 m2 and 220 patients (15.8%) with eGFR ≥ 90 mL/min/1.73 m2 (adjusted hazard ratio = 2.16, 95% confidence interval 1.84 to 2.54, p < 0.001, for 30 mL/min/1.73 m2 decrement in the eGFR). There were CKD-by-age (Pint < 0.001) and CKD–by-clinical presentation (Pint = 0.017) interactions showing a stronger association of CKD with mortality in younger patients and those presenting with acute coronary syndromes. The C statistic of the multivariable model for mortality increased from 0.748 [0.737–0.759] to 0.766 [0.755–0.777] (p < 0.001) after the inclusion of eGFR in the model. Conclusions: In patients with CAD undergoing PCI, CKD was associated with higher mortality at 10 years compared with patients with preserved renal function. The association between CKD and mortality was stronger in patients of younger age and those presenting with acute coronary syndromes.

Association between sleep duration and three obesity indicators among middle-aged and elderly adults: findings from the NHANES 2005–2014

ObjectiveObesity has emerged as a worldwide problem. In recent years, it has been verified that there is an association between sleep duration and obesity indicators. This provides a new approach to control obesity. In this study, the relationship between duration of sleep and body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) among Americans ≥45 years old was investigated.MethodsData was collected from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2014. The link between sleep duration and obesity indicators was analysed using multiple regression models and weighted smoothed curve fitting. Subgroup analysis was conducted to assess the consistency of the connection between sleep duration and obesity indicators across various groups.ResultsThis study involved 7,118 males and 7,265 females, with an average age of 62.09. After total adjustment, sleep duration was negatively correlated with BMI (β = −0.19, 95%CI: −0.26, −0.12), WC (β = −0.36, 95%CI: −0.53, −0.19) and WHtR (β = −0.27, 95%CI: −0.38, −0.17). Subgroup analyses revealed more significant negative associations between sleep duration and BMI, WC, and WHtR among non-Hispanic White participants, and those without diabetes and hypertension.ConclusionSleep duration was significantly negatively associated with BMI, WC, and WHtR, suggesting that longer sleep duration may contribute to lower obesity indicators in middle-aged and elderly Americans. Subgroup analysis showed that their negative correlation differed between races, diabetes, or hypertension status. However, additional prospective studies are required to validate these findings and investigate potential causal relationships.

HPB SO15 - Developing protocol for managing diabetes after Distal pancreatectomy

Abstract Background The incidence of new-onset diabetes mellitus (NODM) has been reported to be 18% to 39% after pancreaticoduodenectomy and 5% to 42% after distal pancreatectomy. Postoperative NODM is historically referred to as type 3c diabetes mellitus (DM). Postoperative HbA1c levels over 7% or 52 mmol have been identified as one of the independent risk factors for tumor recurrence and overall poor survival after cancer-related resections. This study aimed to evaluate the current practice in glycemic monitoring of patients who had distal pancreatectomy and to develop a departmental protocol for Glycemic monitoring in the perioperative period. Method Electronic medical records of 74 patients were reviewed, of these, 61 patients who underwent distal pancreatectomy from Jan 2019 to Dec 2023 was included in the study. All patients with distal pancreatectomy were included irrespective of their pathological diagnosis. age or gender. Patients who died in the perioperative period or the ones who did not have distal pancreatectomy were excluded. (necrosectomy, drainage procedures, GIST, central pancreatectomy. Data analysis performed using Microsoft Excel Results The Age ranged from 24-86. 61 patients were included in the study where whereas male-to-female ratio is shown in the Pie Chart. 80% of the patients had investigations for glycemic status, Only 59% (36/61) had HBA1C done, additional 21% others had only glucose levels measured. 19.7% had no investigations to date. This graph shows the current diabetic status of patient The graph shows the variability in practice with no consistency. Overall 36% of our patients have become diabetic or Pre-diabetic post distal pancreatectomy. Conclusion There is a lack of consistency in the follow-up of our patients regarding glycemic control. This calls for the development of a defined departmental protocol for the follow-up of our patients. Every patient with pancreatectomy should have a glucose tolerance test/HBA1C pre-op in close liaison with the diabetic team. We made the following suggestions. HBA1C at 1 month post surgery in 1st clinic follow up. HBA1C every 6 months thereafter or advice GP if they were to be discharged after benign disease surgery. Information charts are to be made available to the ward base and added to the induction pack.

Abstract 4129075: Racial and Ethnic Differences in Semaglutide Prescriptions in the Veterans Affairs Healthcare System

Introduction: Recent advances in obesity treatment added incretin-based injectables like semaglutide to treatments ranging from lifestyle modification to bariatric surgery. While the burden of obesity in the United States is high and disproportionately affects minoritized individuals, obesity interventions may not be equitably distributed. Insurance coverage is often cited as a barrier to accessing novel treatments. Research Question: Do inequities in semaglutide use among patients with obesity persist without insurance barriers to care? Goals: Characterize the role of race and ethnicity in the receipt of semaglutide among Veterans with obesity. Methods: Among VA patients with BMI ≥27 from 2018-2023, we used a hierarchical multivariable mixed effects logistic regression model to evaluate the association between race and ethnicity (White, Non-Hispanic Black, Hispanic, Asian/Native Hawaiian/Pacific Islander, American Indian/Alaska Native) and receipt of semaglutide prescriptions. We adjusted for age, gender, diabetes status, Charlson Comorbidity Index, education, and urbanicity, with a random effect for diagnosis year. Results: Among Veterans with BMI ≥27 (n=2,423,070), 38.8% had Class I obesity (BMI 30-34.9), 18.2% had Class II obesity (BMI 35-39.9), and 9.8% had Class III obesity (BMI>40), with differences by race and ethnicity (p<0.01). Across the cohort, 184,690 (7.6%) received at least one prescription for semaglutide during the study period. Higher severity of obesity was associated with odds of semaglutide prescription (Figure). Compared to White Non-Hispanic patients, Black and Hispanic/Latino Veterans were less likely to receive a semaglutide prescription, with adjusted odds ratios (AOR) of 0.63 (95% confidence interval [CI]): 0.60-0.68) and 0.81 (95% CI: 0.74-0.90), respectively. Receipt of a semaglutide prescription was also highly associated with diabetes status, with an AOR of 35.2 (95% CI 32.5-38.0) for those with a diagnosis of diabetes compared to those without. Conclusions: Racial and ethnic minority Veterans with obesity are less likely to receive prescriptions for semaglutide in VA, suggesting that challenges to equitable obesity care are more complex than financial coverage alone.

Association between depression and diabetes among American adults using NHANES data from 2005 to 2020.

Depression impairs self-management in diabetic patients, exacerbates insulin resistance, and elevates glycated hemoglobin (HbA1c) levels, thereby increasing diabetes risk. This study analyzed data from 30,386 participants in the National Health and Nutrition Examination Survey (NHANES), assessing depression severity using the 9-item Patient Health Questionnaire (PHQ-9) and evaluating diabetes status through clinical markers such as HbA1c, random blood glucose, and fasting blood glucose. Participants were stratified by depression severity and diabetes status to examine the relationship between depression and diabetes risk. We applied descriptive statistics, logistic regression models, subgroup analyses, and restricted cubic spline (RCS) modeling to explore this association. The results revealed that greater depression severity was significantly associated with increased diabetes incidence, elevated HbA1c, fasting glucose, and insulin levels. Multivariate regression analysis confirmed a consistent positive correlation between depression severity and diabetes risk. Subgroup analyses further identified significant relationships between depression and various demographic and behavioral factors, including gender, race, BMI, smoking status, and prediabetic conditions. Additionally, the RCS model demonstrated a clear increase in diabetes risk with rising PHQ-9 scores. In conclusion, our study demonstrates that the severity of depression is positively correlated with the risk of diabetes, and this association may be closely linked to various glycemic and lipid metabolic parameters.

Abstract 4138555: The ApoB/LDL-C Ratio Predicts Cardiovascular Events in Coronary Artery Disease Patients Independently of Type 2 Diabetes Status

A high ApoB/LDL-C ratio reflects small LDL particle size which like type 2 diabetes (T2DM) is associated with insulin resistance. Whether the ApoB/LDL-C ratio and the presence of T2DM are mutually independent predictors of cardiovascular events is unclear and is addressed in the present study. We enrolled a large high-risk cohort of 1200 patients with coronary artery disease. T2DM was diagnosed according to current ADA guidelines. Prospectively, cardiovascular events were recorded over a mean follow-up period of 10.5±4.9 years. At baseline, the ApoB/LDL-C ratio was significantly higher in patients with T2DM (n=422) than in subjects who did not have T2DM (0.81±0.18 vs. 0.74±0.15 p<0.001). During follow-up, 662 patients suffered cardiovascular events. The Apo B/LDL-C ratio predicted cardiovascular events in univariate analysis (HR=1.11 [1.03-1.20] p= 0.006), and the event rate was higher in patients with than in those without T2DM (62.2% vs. 52.3%; p=0.001). In a multivariate adjusted Cox regression model both the ApoB/LDL-C ratio and T2DM significantly predicted cardiovascular events in a mutually independent manner, with standardized adjusted HRs of 1.11 [1.03-1.20]; p=0.008 and 1.39 [1.18- 1.64]; p<0.001, respectively. We conclude that in subjects with coronary artery disease the ApoB/LDL-C and T2DM are mutually independent predictors of cardiovascular events.

Abstract 4136294: Carbohydrate intakes and cardiovascular disease risk factors in South Asians: Results from 56,024 participants in Bangladesh, India, Pakistan, and Sri Lanka

Background: Evidence on effects of carbohydrate intake with cardiovascular disease risk factors is inconsistent and has limited generalizability to diverse populations such as South Asians, whose carbohydrate intakes are typically high. Aims: We examined the association of the quantity and types of carbohydrate intake with two risk factors for major cardiovascular events– hypertension (HT) and hypercholesterolemia (HC). Methods: We analyzed cross-sectional data from participants aged ≥18 years in the South Asia Biobank in Bangladesh, India, Pakistan, and Sri Lanka. Using dietary data assessed with interviewer-led 24h diet recalls, we calculated intakes of total and subtypes of carbohydrates and several indices of carbohydrate quality. Primary outcomes were HT and HC, defined by medication use, doctor diagnosis, blood pressure and blood lipid levels. With mixed effects Poisson regression, HT and HC was regressed on quantiles of carbohydrate intakes by country to estimate prevalence ratios (PR) and 95% confidence intervals (CI), followed by meta-analysis pooling country-specific estimates. We examined interactions by diabetes status and adiposity. Results: Of 56,024 adults, 36.6% had HT, 16.1% had HC. In pooled multivariable analyses comparing extreme quantiles, total carbohydrate intake was not associated with HT or HC prevalence. Fructose, free sugar and free sugar-to-fiber ratio were associated with higher prevalence of HT (PRs Q5vsQ1 : 1.03-1.15). Higher intakes of cereal fiber (PR Q4vsQ1 : 0.96, 95% CI: 0.95-0.98) and legume fiber (PR Q4vsQ1 : 0.98, 95% CI: 0.97-0.98) were associated with lower prevalence of HT and higher cereal fiber intake with lower HC prevalence (PR Q5vsQ1 : 0.80, 95% CI: 0.75-0.85). Diabetes and adiposity were observed as effect-modifiers (p<0.001). There were null associations in adults with diabetes but in non-diabetic adults, free sugar intake was related positively with HT (PR Q5vsQ1 : 1.07, 95% CI: 1.05-1.09) while fiber intake was inversely related (PR Q5vsQ1 : 0.98, 0.95-0.97). Starch, sugar and free sugar intake were associated positively with HT prevalence in adults with high body fat (≥20% for men; ≥30% for women) and visceral fat (≥10%) levels (PRs Q5vsQ1 : 1.03-1.20); associations were null for low body and visceral fat levels. Associations varied by country (between-country heterogeneity I 2 >60%). Conclusion: Associations of dietary carbohydrates with HT and HC depended on the quality and type of intake in South Asians.

Abstract 4134249: Cardiovascular Risk Factors and Associations of Chronic Inflammatory-Related Disease in the Multi-Ethnic Study of Atherosclerosis

Background: Inflammation plays a role in the development of cardiovascular disease (CVD). We have defined various non-cardiovascular and non-cancer conditions, both infectious and non-infectious, with a common basis of inflammation; collectively termed Chronic Inflammatory-Related Disease (ChrIRD). We have previously described that ChrIRD is common, associated with baseline inflammatory marker levels, associated with high mortality, and has a bidirectional association with CVD. The clinical implications of these data require further study. Aims: We hypothesize that many traditional risk factors for CVD are also associated with ChrIRD and that ChrIRD has additional unique risk factors. We also hypothesize that the treatment of traditional CVD risk factors is associated with a decreased likelihood of ChrIRD. Methods: We studied MESA participants free of overt CVD or significant illness at baseline. ChrIRD was determined based on review of ICD codes for hospitalizations and deaths. Incident CVD was adjudicated by review of medical records. We performed proportional hazards regression (time-dependent for CVD) to identify factors associated with a first diagnosis of ChrIRD. All variables were simultaneously entered into the model. Results: Participants (n=6155) had mean age 62±10 years and 47% male gender. ChrIRD was observed in 24% and CVD in 18%; including 8% with both conditions. Participants with a diagnosis of CVD, older age, higher heart rate, higher BMI, current or ever smoking status, higher HDL, higher baseline IL6 and GlycA levels, and NSAID use had increased likelihood of ChrIRD. Whereas those with female sex, higher total cholesterol, and statin use had a decreased likelihood of ChrIRD. Participant race/ethnicity, blood pressure, diabetes status, antihypertensive use, aspirin use, baseline CRP level, and baseline D-dimer level were not associated with ChrIRD. Regression results are summarized in Table 1. Conclusions: ChrIRD shares some risk factors with CVD, while other risk factors are opposite. Better understanding of ChrIRD could eventually lead to improved patient care.

Abstract 4138564: Fitbit-Measured Physical Activity Is Inversely Associated With Incident Atrial Fibrillation Among All Of Us Participants

Background: Studies show that moderate to vigorous physical activity (MVPA) reduces atrial fibrillation (AF) risk. However, these studies used subjective questionnaires or short-term (<1 week) accelerometry assessments. Objective: This study investigated the link between MVPA levels and AF incidence using long-term (1-year) accelerometry data from the NIH All of Us Fitbit database. Methods: The study included All of Us participants who agreed to share electronic health record (EHR) and Fitbit data between January 1, 2016 to July 1, 2022. Among participants without an existing diagnosis of AF, the average weekly minutes of MVPA over the first year of Fitbit use was computed. Incident AF events were identified using validated ICD-10 codes in a five-year follow-up period. The risk of incident AF was evaluated using Cox proportional hazards regression models, for both MVPA as a continuous and a categorical variable (<30, 30-150,151-300, and >300 minutes MVPA per week; aligned with WHO guidelines). Covariates included age, sex, race/ethnicity, BMI, smoking status, and diagnoses of hypertension and diabetes. In a subset of participants with whole genome data, we evaluated if the association between MVPA and AF incidence varied by a participant’s AF genetic risk score (GRS) Results: 6086 participants (mean age 50 years, 71% female, 83% White) had EHR and at least 1 year of Fitbit data. Over the 1-year MVPA assessment period, participants had 41±12 weeks of complete data and a median 202 [241] minutes of MVPA per week. 55 participants (0.9%) experienced incident AF in the five-year follow-up period. In adjusted analysis, every additional hour of MVPA was associated with an 11% reduced risk of AF (HR = 0.89 [0.81,0.98], p = 0.02). There was a step-wise reduction in risk of AF by MVPA category with <30 min/week as the reference: 30-150 (HR = 0.62 [0.24,1.6], p = 0.31), 151-300 (HR = 0.40 [0.15,1.07], p = 0.07), and >300 (HR = 0.35 [0.13,0.95], p = 0.04) ( Figure 1 ). These associations also held after adjusting for GRS. Conclusion: Higher amounts of objectively measured MVPA were inversely associated with risk of incident AF, independent of clinical and genetic risk factors.

Abstract 4138303: Stress Hyperglycemia Ratio Predicts MACE and All-cause Mortality in Acute Coronary Syndrome Patients: A Meta-Analysis Comparing Patient with Diabetes Mellitus and Non-Diabetes Mellitus

Background: A higher stress hyperglycemic ratio (SHR) has been reported to be associated with adverse cardiac outcomes. However, the role of SHR in predicting clinical outcomes by comparing patients with and without diabetes mellitus is yet to be explored. Objective: To evaluate the prognostic value of the SHR for predicting major adverse cardiovascular (MACE) and all-cause mortality in ACS patients with and without diabetes mellitus. Methods: Per PRISMA guidelines, we comprehensively reviewed PubMed, Google Scholar, and SCOPUS for eligible studies reporting on SHR and its association with MACE (8 studies) and all-cause mortality (7 studies) in ACS patients. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a binary random-effects model, with results displayed as forest plots. Heterogeneity was assessed using I2 statistics, and a leave-one-out sensitivity analysis was performed. P<0.05 was considered significant. Results: A total of 15 studies with 45,774 patients with ACS were included in the analysis. The majority of patients were males (72.6%) with a mean age of 62.8 years. High SHR was associated with higher odds of MACE (1.93 [1.54–2.42]) and all-cause mortality (1.91 [1.58–2.31]) (Fig. 1). Subgroup analysis revealed increased odds of all-cause mortality (1.69 [1.34–2.11] for patients with diabetes vs 2.12 [1.65–2.71] for patients without diabetes) and MACE (1.60 [1.30–1.97] for patients with diabetes vs 1.44 [1.28–1.62] for patients without diabetes), all p<0.01. (Fig. 2). Additionally, the leave-one-out sensitivity analysis demonstrated that excluding any particular study did not significantly affect outcomes (p<0.05). Conclusions: In patients with ACS, SHR is an independent predictor of MACE and all-cause mortality, irrespective of diabetes status. Strict glycemic control strategies may improve outcomes in this high-risk population. These findings underscore the importance of early recognition and management of stress hyperglycemia in ACS patients.

Association between triglyceride glucose-body mass index and depression among US adults: A cross-sectional study

ObjectivesThe triglyceride glucose-body mass index (TyG-BMI) is a well-established surrogate marker for insulin resistance. While an association between insulin resistance and depression has been identified, that between TyG-BMI and depression remains unclear. Therefore, we used data from the National Health and Nutrition Examination Survey (NHANES) database to investigate this. Study designThis cross-sectional study included 9673 adults (aged ≥20 years) from the NHANES in the United States from 2011 to 2020. MethodsDepressive symptoms were assessed using a nine-item version of the Patient Health Questionnaire. The covariates included age, sex, race/ethnicity, marital status, educational level, poverty-income ratio, smoking status, alcohol intake, diabetes status, cardiovascular disease, hypertension, physical activity, high-density lipoprotein, low-density lipoprotein, and total cholesterol. Multivariate logistic regression models, subgroup analyses, and threshold saturation effect analyses were conducted. ResultsAfter adjusting for age, sex, race/ethnicity, marital status, education level, poverty-income ratio, smoking status, drinking status, diabetes status, cardiovascular disease, hypertension, physical activity, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol, the threshold saturation effect showed a TyG-BMI inflection point of 174.4. Below the inflection point, a 10-unit increase in TyG-BMI was associated with a 12 % lower prevalence of depression. Above the inflection point, each 10-unit increase in TyG-BMI was associated with a 4 % increase in prevalence of depression. ConclusionsTyG-BMI had a U-shaped relationship with prevalence of depression. There was a significant link between higher TyG-BMI levels and increased prevalence of depression. When the TyG-BMI value was below 174.4, any further increase in TyG-BMI was associated with a significantly lower prevalence of depression.

A Study Into Systemic and Oral Levels of Proinflammatory Biomarkers Associated With Endpoints After Active Non-Surgical Periodontal Therapy.

To analyse whether some selected inflammatory biomarkers collected from venous blood and gingival crevicular fluid (GCF) were associated with the outcome of non-surgical periodontal therapy. Two-hundred and nine patients affected by periodontitis were enrolled in the study, who had undergone steps I and II therapy as well as a non-surgical re-instrumentation (NSRI) of periodontal pockets after 6 months. Serum (SE), plasma (PL) and GCF samples were quantitatively analysed for the following inflammatory biomarkers: active matrix metalloproteinase-8 (aMMP-8), prostaglandin E2 (PGE2) and surfactant protein D (SP-D). Therapy outcomes were evaluated using a 'treat-to-target' endpoint (T2T) at the patient level, defined as ≤ 4 sites with pocket depth ≥ 5 mm. Patients presented with 23 ± 6 teeth (mean ± SD) at baseline. After steps I and II therapy, 41.6% of the patients reached T2T and after NSRI 47.4%. Univariate analysis identified a potential association between high levels of PL-SP-D and more favourable treatment outcomes. Multivariate binary logistic regression adjusted for sex, mean baseline probing depth, diabetes and current smoking status confirmed an independent relationship between baseline PL-SP-D and the T2T after steps I and II therapy (aOR 0.432, p = 0.011), implying that a higher level PL-SP-D at baseline is associated with a > 50% reduced risk of failing T2T. However, no such association was found for PL-SP-D and NSRI. Higher baseline PL-SP-D levels might be associated with more favourable treatment outcomes after steps I and II therapy. This may be due to its role in the regulation of neutrophil function. However, further investigation is required to confirm this hypothesis. If proven, PL-SP-D could play a role as a biomarker for identifying individuals who respond differentially to primary therapy.

Association of METS-IR index with Type 2 Diabetes: A cross-sectional analysis of national health and nutrition examination survey data from 2009 to 2018.

With rising global diabetes prevalence, precise early identification and management of diabetes risk are critical research areas. The metabolic score for insulin resistance (METS-IR), a novel non-insulin-based tool, is gaining attention for quantifying insulin resistance using multiple metabolic parameters. Despite its potential in predicting diabetes and its precursors, evidence on its specific relationship with diabetes is limited, especially in large-scale population validation and mechanistic exploration. This study aims to analyze the association between METS-IR and type 2 diabetes (T2DM) in American adults. We conducted a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data from 2009 to 2018. Participants aged 20 years and above were included, excluding individuals with missing data on BMI, fasting blood glucose, high-density lipoprotein cholesterol glycated hemoglobin and diabetes status. Logistic regression analysis, subgroup analysis, and restricted cubic spline analysis were used to assess the association between METS-IR and T2DM, controlling for potential confounding factors. After adjusting for age, gender, race, education level, smoking status, drinking habits, depression, physical activity, hypertension, and hyperlipidemia, we found a positive association between METS-IR and the risk of T2DM. Specifically, each unit increase in METS-IR was associated with a 7% increase in the risk of T2DM (OR = 1.07, 95% CI: 1.06, 1.08). Subgroup analysis showed that the association between METS-IR and T2DM incidence was significantly positive in the highest quartile group, particularly among Mexican Americans over 40 years old and those diagnosed with depression, hypertension, or hyperlipidemia. Our study revealed a significant positive association between METS-IR and the prevalence of T2DM, indicating that this relationship persists even after controlling for various confounding factors. Therefore, monitoring METS-IR may provide a valuable tool for the early identification of individuals at risk of glucose metabolism disorders. Further research should focus on the applicability of METS-IR in different populations and its potential impact on clinical practice.

Diabetes knowledge and behaviour: a cross-sectional study of Jordanian adults.

Diabetes mellitus is a significant global health concern that is projected to affect 7.7% of the global population by 2030. Understanding factors that influence diabetes knowledge and management adherence is crucial for effective diabetes mellitus management and prevention. This study investigates the relationships between demographic and clinical factors and their impact on diabetes knowledge and behaviour, as well as the potential influence of diabetes knowledge on management behaviours. The study comprised a cross-sectional survey of 1050 adults, collecting data on age, sex, marital status, education, employment, hypertension, dyslipidaemia (any lipid imbalance, such as high cholesterol, high LDL-cholesterol or low HDL-cholesterol), smoking and diabetes status. Two multiple linear regression models were used to identify factors associated with diabetes knowledge and behaviour, and a simple linear regression model was used to assess the relationship between knowledge and behaviour. Significant associations were found between diabetes knowledge and the following factors: age (44.32 ± 9.53 for ≥50 years vs 39.73 ± 9.95 for 18 to <25 years; p<0.0001), sex (49.00 ± 12.35 for women vs 45.09 ± 13.27 for men; p<0.0001), marital status (50.92 ± 11.69 for married vs 45.39 ± 13.10 for single; p<0.0001), smoking status (45.78 ± 13.22 for smokers vs 48.22 ± 12.15 for non-smokers; p=0.003), hypertension (46.46 ± 13.11 for present vs 47.31 ± 12.87 for absent; p=0.007) and diabetes status (69.49 ± 17.35 for present vs 62.76 ± 16.88 for absent; p<0.001). Behaviour scores correlated similarly with these factors except for diabetes and smoking status. The adjusted simple linear regression model revealed that diabetes knowledge was significantly associated with better management behaviours (coefficient=0.0794, p<0.001) after adjusting for demographic and clinical factors. This study highlights the importance of demographic and clinical factors in the context of diabetes knowledge and behaviours, underscoring the need for targeted educational and preventive programmes to improve diabetes management, especially in vulnerable populations. Additionally, the strong association between diabetes knowledge and management behaviours supports a knowledge-attitude-behaviour (KAB) model of diabetes management.