Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries.

BACKGROUND: Meat consumption could increase the risk of type 2 diabetes. However, evidence is largely based on studies of European and North American populations, with heterogeneous analysis strategies and a greater focus on red meat than on poultry. We aimed to investigate the associations of unprocessed red meat, processed meat, and poultry consumption with type 2 diabetes using data from worldwide cohorts and harmonised analytical approaches. METHODS: This individual-participant federated meta-analysis involved data from 31 cohorts participating in the InterConnect project. Cohorts were from the region of the Americas (n=12) and the Eastern Mediterranean (n=2), European (n=9), South-East Asia (n=1), and Western Pacific (n=7) regions. Access to individual-participant data was provided by each cohort; participants were eligible for inclusion if they were aged 18 years or older and had available data on dietary consumption and incident type 2 diabetes and were excluded if they had a diagnosis of any type of diabetes at baseline or missing data. Cohort-specific hazard ratios (HRs) and 95% CIs were estimated for each meat type, adjusted for potential confounders (including BMI), and pooled using a random-effects meta-analysis, with meta-regression to investigate potential sources of heterogeneity. FINDINGS: Among 1 966 444 adults eligible for participation, 107 271 incident cases of type 2 diabetes were identified during a median follow-up of 10 (IQR 7-15) years. Median meat consumption across cohorts was 0-110 g/day for unprocessed red meat, 0-49 g/day for processed meat, and 0-72 g/day for poultry. Greater consumption of each of the three types of meat was associated with increased incidence of type 2 diabetes, with HRs of 1·10 (95% CI 1·06-1·15) per 100 g/day of unprocessed red meat (I2=61%), 1·15 (1·11-1·20) per 50 g/day of processed meat (I2=59%), and 1·08 (1·02-1·14) per 100 g/day of poultry (I2=68%). Positive associations between meat consumption and type 2 diabetes were observed in North America and in the European and Western Pacific regions; the CIs were wide in other regions. We found no evidence that the heterogeneity was explained by age, sex, or BMI. The findings for poultry consumption were weaker under alternative modelling assumptions. Replacing processed meat with unprocessed red meat or poultry was associated with a lower incidence of type 2 diabetes. INTERPRETATION: The consumption of meat, particularly processed meat and unprocessed red meat, is a risk factor for developing type 2 diabetes across populations. These findings highlight the importance of reducing meat consumption for public health and should inform dietary guidelines. FUNDING: The EU, the Medical Research Council, and the National Institute of Health Research Cambridge Biomedical Research Centre.

DOXORUBICIN-RELATED CARDIOTOXICITY: REVIEW OF FUNDAMENTAL PATHWAYS OF CARDIOVASCULAR SYSTEM INJURY.

Over the years, advancements in the field of oncology have made remarkable strides in enhancing the efficacy of medical care for patients with cancer. These modernizations have resulted in prolonged survival and improved the quality of life for these patients. However, this progress has also been accompanied by escalation in mortality rates associated with anthracycline chemotherapy. Anthracyclines, which are known for their potent antitumor properties, are notorious for their substantial cardiotoxic potential. Remarkably, even after six decades of research, a conclusive solution to protect the cardiovascular system against doxorubicin-induced damage has not yet been established. A comprehensive understanding of the pathophysiological processes driving cardiotoxicity combined with targeted research is crucial for developing innovative cardioprotective strategies. This review seeks to explain the mechanisms responsible for structural and functional alterations in doxorubicin-induced cardiomyopathy.

Integration of Diabetes Mellitus and Hypertension on Major Cardiovascular Events: An Experience From a 15-year Follow-up Cohort Study in EMR.

INTRODUCTION: Patients with hypertension and diabetes are more susceptible to cardiovascular diseases (CVD) and mortality. This study aimed to evaluate the individual and combined effects of hypertension and diabetes on cardiovascular events and mortality in a Middle Eastern population-based cohort. METHODS: Fifteen-year follow-up data were collected for 6323 adults aged 35 years and older who were free from CVD at baseline. The subjects were categorized into different groups according to hypertension and diabetes at baseline. Cox proportional hazards regression was implemented to estimate hazard ratios (HRs) of hypertension and diabetes for cardiovascular events (CVE), CVD mortality, and all-cause mortality. Population-attributable hazard fraction (PAHF) was used to assess the proportion of hazards of CVE and mortality attributable to hypertension or diabetes. RESULTS: The incidence rates (95% CI) of CVE, CVE mortality, and all-cause mortality in the total population were 13.77(12.84-14.77), 3.01(2.59-3.49), and 9.92(9.15-10.77) per 1000 persons per year respectively. The HR of hypertension for CVE in the diabetic population was 1.98 (1.47-2.66) with a PAHF of 27.65(15.49-39.3). When the HRs and PAHF of diabetes were evaluated in hypertensive patients, they were statistically significant for CVE, CVE mortality, and all-cause mortality. CONCLUSION: Our study indicated that the joint effect of diabetes and hypertension is the dramatic increased risk of CVE. A considerable fraction of the excess risk of CVE in patients with diabetes was attributable to hypertension, on the other hand, diabetes was associated with a substantial hazard fraction of CVE and mortality in hypertensive patients.

How Do Genetic and Environmental Factors Influence Cardiometabolic Risk Factors? Findings from the Isfahan Twins Study.

BACKGROUND: Disease-discordant twins are excellent subjects for matched case-control studies as they allow for the control of confounding factors such as age, gender, genetic background, and intrauterine and early environment factors. Study design: A cross-sectional study. METHODS: Past medical history documentation and physical examination were conducted for all participants. Fasting venous blood samples were taken to measure fasting blood glucose (FBG) and lipid levels. The ACE model, a structural equation model, was used to assess heritability. RESULTS: This study included 710 twin pairs (210 monozygotic and 500 dizygotic) ranging in age from 2 to 52 years (mean age: 11.67±10.71 years). The study was conducted using participants from the Isfahan Twin Registry (ITR) in 2017. Results showed that in early childhood (2-6 years), height, weight, and body mass index (BMI) were influenced by shared environmental factors (76%, 75%, and 73%, respectively). In late childhood (7-12 years), hip circumference, waist circumference (WC), and low-density lipoprotein (LDL) cholesterol were found to be highly heritable (90%, 76%, and 64%, respectively). In adolescents, height (94%), neck circumference (85%), LDL-cholesterol (81%), WC (70%), triglycerides (69%), weight (68%), and BMI (65%) were all found to be highly or moderately heritable. In adult twins, arm circumference (97%), weight (86%), BMI (82%), and neck circumference (81%) were highly heritable. CONCLUSION: This study demonstrates that both genetic and environmental factors play a role in influencing individuals at different stages of their lives. Notably, while certain traits such as obesity have a high heritability during childhood, their heritability tends to decrease as individuals transition into adulthood.

The association between soft drinks consumption and risk of mental disorders among Iranian adults: The LIPOKAP study.

OBJECTIVE: With rising demand for soft drinks (SDs) in low-income countries, studies examining mental disorders in relation to SDs are rather scarce. Therefore, we aimed to explore this association in a sample of Iranian adults. METHODS: This cross-sectional study was carried out within the framework of the multi-centric LIPOKAP project, with 1970 Iranian healthy adults. Dietary intake and symptoms of depression and anxiety were collected using validated, Persian versions of a food frequency questionnaire and a Hospital Anxiety and Depression Scale (HADS), respectively. Artificial juices were considered fruit-flavored carbonated sugar beverages, sugar-sweetened beverages (SSB) included fruit-flavored carbonated sugar beverages and carbonated colas, and soft drinks included SSB and drinks containing non-nutritive sweeteners. RESULTS: The mean age of the participants was 39.8 ± 13.9 years. Compared to lower intake, higher intake of SDs (OR = 1.30, 95 % CI: 1.01, 1.69; P = 0.041), SSBs (OR = 1.30, 95 % CI: 1.00, 1.67; P = 0.045) and artificial juice (OR = 1.63, 95 % CI: 1.24, 2.13; P < 0.001) was associated with higher risk of depression in adjusted model. These associations were sex-specific and more evident in males. No significant association was found between any of the drinks and anxiety risk except for artificial juice in men which was directly associated with anxiety risk (OR = 1.66, 95 % CI: 1.06, 2.61; P = 0.028). CONCLUSION: This study found a positive association between SDs, SSBs and artificial juice and depression, but not anxiety. These associations varied between men and women. Prospective cohort studies are warranted to confirm our results and reveal the causal relationship.

Baseline socioeconomic status predicting post-COVID-19 symptoms: Results from Isfahan COVID Cohort (ICC) study.

Objectives: Patients experience complications following their recovery from COVID-19, known as post-COVID-19. This study aimed to investigate the association between baseline socioeconomic status (SES) and post-COVID-19 symptoms among hospitalized and non-hospitalized patients. Methods: In the study, we used data from the Isfahan COVID Cohort (ICC) study, a 5-year longitudinal cohort study started from March 10, 2020. SES was measured using short form of SES questionnaire (SES-SQ), consisting of employment status, house room number, the number of trips taken, and using notebooks, laptop, or tablet in the house. Cox proportional hazard analysis was used to examine the association between baseline SES and post-COVID-19 symptoms including general, cardiovascular and respiratory systems, adjusting for potential confounders. Results: Out of the 3912 patients included in the study, 66.4 % reported post-COVID-19 symptoms. There was an association between low SES and increased risk of post-COVID-19 cardiovascular symptoms in the whole population (HR = 1.15; 95 CI, 1.01-1.31, p = 0.039). Considering the hospitalization status revealed that hospitalized patients with low SES had a higher risk of experiencing post-COVID-19 cardiovascular symptoms (HR = 1.96; 95 CI, 1.23-3.12, p = 0.004), while in non-hospitalized, low SES patients a lower risk was observed (HR = 0.82; 95 CI, 0.70-0.97, p = 0.017). No significant association was found between SES and other post-COVID-19 symptoms including general and respiratory symptoms. Conclusions: We concluded an association between higher SES and increased post-COVID-19 cardiovascular symptoms. Low SES was associated with higher risk of post-COVID-19 cardiovascular symptoms in hospitalized patients, while in non-hospitalized, it was associated with a lower risk.

Update of the clinical guideline for hypertension diagnosis and treatment in Iran.

BACKGROUND: This article introduces the updated version of the Iranian guideline for the diagnosis and treatment of hypertension in adults. The initial version of the national guideline was developed in 2011 and updated in 2014. Among the reasons necessitating the update of this guideline were the passage of time, the incompleteness of the scopes, the limitation of the target group, and more important is the request of the ministry of health in Iran. METHOD: The members of the guideline updating group, after reviewing the original version and the new evidence, prepared 10 clinical questions regarding hypertension, and based on the evidence found from the latest scientific documents, provided recommendations or suggestions to answer these questions. RESULT: According to the updated guideline, the threshold for office prehypertension diagnosis should be considered the systolic blood pressure (SBP) of 130-139 mmHg and/or the diastolic blood pressure (DBP) of 80-89 mmHg, and in adults under 75 years of age without comorbidities, the threshold for office hypertension diagnosis should be SBP ≥ 140 mmHg and or DBP ≥ 90 mmHg. The goal of treatment in adults who lack comorbidities and risk factors is SBP < 140 mmHg and DBP < 90 mmHg. The first-line treatment recommended in people with prehypertension is lifestyle modification, while for those with hypertension, pharmacotherapy along with lifestyle modification. The threshold to start drug therapy is determined at SBP ≥ 140 mmHg and or DBP ≥ 90 mmHg, and the first-line treatment is considered a drug or a combined pill of antihypertensive drugs, including ACEIs, ARBs, thiazide and thiazide-like agents, or CCBs. At the beginning of the pharmacotherapy, the Guideline Updating Group members suggested studying serum electrolytes, creatinine, lipid profile, fasting sugar, urinalysis, and an electrocardiogram. Regarding the visit intervals, monthly visits are suggested at the beginning of the treatment or in case of any change in the type or dosage of the drug until achieving the treatment goal, followed by every 3-to-6-month visits. Moreover, to reduce further complications, it was suggested that healthcare unit employees use telehealth strategies. CONCLUSIONS: In this guideline, specific recommendations and suggestions have been presented for adults and subgroups like older people or those with cardiovascular disease, diabetes mellitus, chronic kidney disease, and COVID-19.

First Iranian guidelines for the diagnosis, management, and treatment of hyperlipidemia in adults.

This guideline is the first Iranian guideline developed for the diagnosis, management, and treatment of hyperlipidemia in adults. The members of the guideline developing group (GDG) selected 9 relevant clinical questions and provided recommendations or suggestions to answer them based on the latest scientific evidence. Recommendations include the low-density lipoprotein cholesterol (LDL-C) threshold for starting drug treatment in adults lacking comorbidities was determined to be over 190 mg/dL and the triglyceride (TG) threshold had to be >500 mg/dl. In addition to perform fasting lipid profile tests at the beginning and continuation of treatment, while it was suggested to perform cardiovascular diseases (CVDs) risk assessment using valid Iranian models. Some recommendations were also provided on lifestyle modification as the first therapeutic intervention. Statins were recommended as the first line of drug treatment to reduce LDL-C, and if its level was high despite the maximum allowed or maximum tolerated drug treatment, combined treatment with ezetimibe, proprotein convertase subtilisin/kexin type 9 inhibitors, or bile acid sequestrants was suggested. In adults with hypertriglyceridemia, pharmacotherapy with statin or fibrate was recommended. The target of drug therapy in adults with increased LDL-C without comorbidities and risk factors was considered an LDL-C level of <130 mg/dl, and in adults with increased TG without comorbidities and risk factors, TG levels of <200 mg/dl. In this guideline, specific recommendations and suggestions were provided for the subgroups of the general population, such as those with CVD, stroke, diabetes, chronic kidney disease, elderly, and women.

Association of obesity and the clinical course of hospitalised COVID-19 survivors.

Obesity is a risk factor for chronic inflammation and severe pulmonary infections. This study aimed to assess the association between obesity and the clinical courses of hospitalised COVID-19 survivors. This cross-sectional study used the Isfahan COVID Cohort (ICC) baseline data. The ICC is an ongoing, 5-year prospective, longitudinal cohort study conducted on hospitalised COVID-19 survivors in affiliated hospitals of the Medical University of Isfahan (MUI), Iran. Patients aged 19 and over throughout Isfahan County were recruited using a consecutive sampling method 1 month after discharge. Demographic and basic characteristics, symptoms and clinical features of these patients were collected and analysed. A total of 3843 hospitalised patients with COVID-19 were included in this study. Regarding the body mass index classification in the general obesity group, the patients with overweight and obesity had more extended hospitalisation and a higher frequency of low O2 saturation compared to the normal weight patients, and the highest frequency of low O2 saturation and more extended hospitalisation was observed in patients with obesity (5.9 ± 3.8 vs. 6.8 ± 5.4 vs. 7.1 ± 5.3, respectively; p = .001 and 59% vs. 64.5% vs. 65.5%; p < .001). Furthermore, individuals with abdominal obesity had a significantly longer duration of hospitalisation compared to the non-abdominal obesity group (6.3 ± 4.6 vs. 7.0 ± 5.3; p < .001). In the fully adjusted model, a significant association was observed between abdominal obesity and an increased occurrence of low oxygen saturation compared to general obesity (odds ratio: 1.25, 95% confidence interval: 1.03-1.44). Obesity was associated with more extended hospitalisation and hypoxia in patients with COVID-19. However, no significant relationship was found between obesity and other clinical courses.

Comparing vitamin D receptor gene polymorphisms in rs11568820, rs7970314, rs4334089 between COVID-19 patients with mild and severe symptoms: a case control study.

The associations of vitamin D receptor (VDR)- single nucleotide polymorphisms (SNPs) with the symptoms of COVID-19 may vary between patients with different severities of COVID-19. Therefore, in the present study, we aim to compare VDR polymorphisms in severe and mild COVID-19 patients. In this study, a total number of 85 hospitalized patients and 91 mild/moderate patients with COVID-19 were recruited. SNPs in VDR genes were determined using ARMS and then confirmed by sanger sequencing. The mean (SD) age of participants in hospitalized and non-hospitalized group was 59.0 (12.4) and 47.8 (14.8) years, respectively. Almost 46% of participants in hospitalized and 48% of participant in non-hospitalized group were male. The frequency of TT genotype of SNP rs11568820 was significantly lower in hospitalized than non-hospitalized group (3.5% vs. 17.6%; P = 0.018). However, there was no significant differences between genotypes of SNPs rs7970314 and rs4334089 and also alleles frequencies in all SNPs of two groups. The genotype of rs11568820 SNP had an inverse association with hospitalization of patients with COVID-19 after adjustment for comorbidities [OR 0.18, 95% CI 0.04, 0.88; P = 0.034]. While, there was no relationship between genotypes of SNPs rs7970314 and rs4334089 and hospitalization. The TT genotype of rs11568820 plays protective role in sever COVID-19 and hospitalization. Further studies with a large sample size which consider various confounding factors are warranted to confirm our results.

The relationship between fermented and nonfermented dairy products consumption and hypertension among premature coronary artery disease patients: Iran premature coronary artery disease study.

Dairy products may affect hypertension (HTN) risk. The aim of this study was to examine the association between fermented and nonfermented dairy foods and HTN in a sample of premature coronary artery disease (PCAD) subjects. This cross-sectional study was performed on 1854 PCAD patients. A 110-item food frequency questionnaire was used to assess dietary intakes. HTN was considered if systolic blood pressure was 140 mmHg and higher and/or diastolic blood pressure was 90 mmHg and higher. The odds ratio of HTN across the quartiles of different types of dairy products was evaluated by binary logistic regression. The mean (SD) of dairy products consumption was 339.8 (223.5) g/day, of which 285.4 g/day was fermented dairy products. In the crude model, participants in the fourth quartile of fermented dairy products had lesser risk of HTN compared to the bottom quartile (OR = 0.70, 95% CI: 0.52, 0.96; p for trend = .058). However, after considering the possible confounders, the significance disappeared. Subjects in the top quartile of high-fat fermented dairy products had 34% lower risk for HTN compared to the bottom quartile (95% CI: 0.49, 0.88; p for trend < .001). Adjustment for potential risk factors weakened the association but remained significant (OR = 0.73, 95% CI: 0.53, 1.01; p for trend = .001). Nonsignificant relation was detected between low-fat fermented, low-fat nonfermented, and high-fat nonfermented dairy products and HTN. Moderate consumption of high-fat fermented dairy products, in a population with low consumption of dairy foods, might relate to reduced likelihood of HTN.

The Relationship between Dietary Patterns and Metabolic Phenotypes: A Cross-Sectional Study in a Representative Sample of Iranian Industrial Employees.

Background and Aim: There is limited evidence to support the relationship between dietary patterns and metabolic phenotypes. Therefore, this study aimed to assess the association of dietary patterns with metabolic phenotypes among a large sample of Iranian industrial employees. Methods: This cross-sectional study was conducted among 3,063 employees of Esfahan Steel Company, Iran. Using exploratory factor analysis, major dietary patterns were obtained from a validated short form of food frequency questionnaire. The metabolic phenotypes were defined according to Adult Treatment Panel III guidelines. The independent-sample t-test, one-way analysis of variance, χ2 test, and multivariable logistic regression were applied to analyze data. Results: Three major dietary patterns were identified by factor analysis: the Western dietary pattern, the healthy dietary pattern, and the traditional dietary pattern. After controlling for potential confounders, subjects in the highest tertile of Western dietary pattern score had a higher odds ratio (OR) for metabolically healthy obese (MHO; OR 1.58, 95% confidence interval [CI]: 1.29-1.94), metabolically unhealthy normal weight (OR 1.93, 95% CI 1.08-3.45), and metabolically unhealthy obese (MUHO) phenotypes (OR 2.87, 95% CI 2.05-4.03) than those in the lowest tertile. Also, higher adherence to traditional dietary pattern was positively associated with a higher risk of MHO (OR 1.91, 95% CI 1.56-2.34) and MUHO phenotypes (OR 2.33, 95% CI 1.69-3.22) in the final model. Conclusion: There were significant associations between dietary patterns and metabolic phenotypes, suggesting the necessity of nutritional interventions in industrial employees to improve metabolic phenotype, health outcomes, and, therefore, job productivity in the workforce population.

Ultra-processed food consumption and cardiovascular events rate: An analysis from Isfahan Cohort Study (ICS).

BACKGROUND AND AIMS: The contribution of ultra-processed foods (UPFs) to daily energy intake and, therefore, their health effects may vary between countries. We aimed to investigate the association between UPFs and the incidence risk of cardiovascular events (CVEs) and cardiovascular mortality in the Isfahan cohort study. METHODS AND RESULTS: In 2001, 6504 participants aged ≥35 years were enrolled and followed until 2017. Dietary intake was assessed using a validated food frequency questionnaire, and the NOVA system was applied for UPF classification. Any new case of CVE, including fatal and non-fatal myocardial infarction (MI) or stroke, unstable angina (UA), and CVD death, was recorded. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated through Cox proportional hazards regression models. A total number of 819 CVE, 164 MI, 348 UA, 172 strokes, and 181 cardiovascular deaths were recorded during 61352.5 person-years of follow-up. The median (IQR) of UPF consumption was 2.47 (1.00-5.23) times/week. In the fully adjusted model, individuals in the fourth quartile of UPFs had no higher risk for incident MI and UA (HR = 1.12, 95% CI: 0.87, 1.46; P for trend = 0.364), stroke (HR = 0.93, 95% CI: 0.58, 1.46; P for trend = 0.601), cardiovascular mortality (HR = 0.95, 95% CI: 0.61, 1.47; P for trend = 0.596), and CVE (HR = 1.08, 95% CI: 0.88,1.34; P for trend = 0.515) in comparison with those in the first quartile. CONCLUSION: This mid-term prospective cohort study provides no evidence for a significant association between UPF and CVE risk. Longer studies are required to confirm this association.

Association of the triglyceride glucose index with all-cause and cardiovascular mortality in a general population of Iranian adults.

BACKGROUND: The triglyceride glucose (TyG) index is a new and low-cost marker to determine insulin resistant which may be a predictor of cardiovascular disease (CVD). Although available evidence showed that its association with CVD mortality (CVM) and all-cause mortality (ACM) may differ in different populations, scarce data are available in this regard specially in low and middle-income countries. PURPOSE: To examine the association between TyG index and risk of CVM and ACM in Iranians. METHODS: This prospective cohort study included 5432 adults (age ≥ 35 years) with no history of CVD events. Fasting glucose and triglyceride were measured at baseline in all participants and TyG index was calculated. Cox frailty model was used to calculate hazard ratios (HRs) for CVM and ACM across the tertiles of TyG index. RESULTS: After a median follow-up of 11.25 years, a total number of 191 cardiovascular deaths, and 487 all-cause mortality was recorded. The risk of both CVM and ACM increased across the tertiles of TyG index. In the adjusted model for lifestyle and metabolic variables, the risks of ACM and CVM increased by 41% (95% CI 1.11, 1.81; P for trend = 0.005) and 64% (95% CI 1.07, 2.50; P for trend = 0.024), respectively. However, adjustment for diabetes mellitus disappeared the significance for both ACM and CVM. These associations may vary by sex. TyG was not related to the risk of non-CVD mortality. CONCLUSION: The predicting value of TyG index for ACM and CVM might be mediated by diabetes status. Further studies are required to confirm these findings.

Which risk factor best predicts coronary artery disease using artificial neural network method?

BACKGROUND: Coronary artery disease (CAD) is recognized as the leading cause of death worldwide. This study analyses CAD risk factors using an artificial neural network (ANN) to predict CAD. METHODS: The research data were obtained from a multi-center study, namely the Iran-premature coronary artery disease (I-PAD). The current study used the medical records of 415 patients with CAD hospitalized in Razi Hospital, Birjand, Iran, between May 2016 and June 2019. A total of 43 variables that affect CAD were selected, and the relevant data was extracted. Once the data were cleaned and normalized, they were imported into SPSS (V26) for analysis. The present study used the ANN technique. RESULTS: The study revealed that 48% of the study population had a history of CAD, including 9.4% with premature CAD and 38.8% with CAD. The variables of age, sex, occupation, smoking, opium use, pesticide exposure, anxiety, sexual activity, and high fasting blood sugar were found to be significantly different among the three groups of CAD, premature CAD, and non-CAD individuals. The neural network achieved success with five hidden fitted layers and an accuracy of 81% in non-CAD diagnosis, 79% in premature diagnosis, and 78% in CAD diagnosis. Anxiety, acceptance, eduction and gender were the four most important factors in the ANN model. CONCLUSIONS: The current study shows that anxiety is a high-prevalence risk factor for CAD in the hospitalized population. There is a need to implement measures to increase awareness about the psychological factors that can be managed in individuals at high risk for future CAD.

Association of triglyceride glucose index with cardiovascular events: insights from the Isfahan Cohort Study (ICS).

BACKGROUND: There is limited evidence regarding the evaluation of the association between the triglyceride glucose (TyG) index, an indicator of insulin resistance, and the incident risk of cardiovascular disease (CVD). Therefore, we aimed to examine the relationship between the TyG index and CVD incidence in a cohort of Iranian adults. METHODS: This study was performed in the framework of the Isfahan Cohort Study (ICS). The study population included 5,432 individuals aged ≥ 35 years. CVD events, including acute myocardial infarction (MI), stroke, and unstable angina (UA), were diagnosed by physicians. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. The relationship between the TyG index and CVD events was investigated using Cox regression models. Receiver operating characteristics (ROC) curve analysis was used to determine the best cut-off for the TyG index for predicting CVD outcomes. RESULTS: During a median follow-up period of 11.2 years, a total number of 819 CVD, 164 MI, 172 stroke, and 384 UA were recorded. Following adjustment for multiple confounders, elevated TyG levels were associated with a higher risk of CVD (HR = 1.48; 95% CI 1.22-1.79; p < 0.001), MI (HR = 2.24; 95% CI 1.42-3.52; p < 0.001), stroke (HR = 1.45; 95% CI 0.96-2.19; p = 0.042), but not UA (HR = 1.28; 95% CI 0.96-1.69). The optimal TyG index cut-off was 8.91 for predicting CVD (sensitivity 58%; specificity 58%), 9.04 for predicting MI (sensitivity 57%; specificity 65%), 8.92 for predicting stroke (sensitivity 57%; specificity 57%), and 8.98 for predicting UA (sensitivity 53%; specificity 61%). CONCLUSION: We found a robust, direct association between the TyG index and the incidence of CVD events. This emphasizes the significance of observing the TyG index as an indicator of the occurrence of CVD events.

The association between glycemic index, glycemic load and total carbohydrate intake and risk of premature coronary artery disease: Iran Premature Coronary Artery Disease Study (IPAD) - A Case-Control Study.

BACKGROUND AND AIMS: The association between glycemic index (GI), glycemic load (GL), total carbohydrate intake, and risk of cardiovascular diseases has been controversial. Premature coronary artery disease (PCAD) is characterized by the age of onset lower than 55 and 65 respectively in men and women. The aim of the current study is to investigate the relationship between GI, GL and carbohydrate levels and the risk of PCAD in Iran. METHODS AND RESULTS: In total, 419 healthy people and 553 patients struggling with PCAD have participated in this case-control study. Dietary GI and GL were calculated using a validated food frequency questionnaire at the baseline. Crude and multivariable logistic regression were used to assess the relationship between GI, GL, and total carbohydrate intake and risk of PCAD. The mean age of participants was 51.13 ± 6.90 and 46 % of them were women. A significant direct relationship was observed between higher carbohydrate intake (OR: 1.74, 95%CI: 1.27-2.38) and GL levels (OR: 1.56, 95 % CI:1.14-2.14) and risk of PCAD. These associations were not significant after adjusting for potential variables. No significant association has been observed between GI and odds of PCAD even after controlling for all covariates. CONCLUSION: We found no significant association between GI, GL, and total carbohydrate intake and risk of premature coronary heart disease. Further observational and clinical trials are required to assess this relationship.

National burden of rheumatoid arthritis in Canada, 1990-2019: findings from the Global Burden of Disease Study 2019 - a GBD collaborator-led study.

OBJECTIVE: The objectives of this study were: (1) to describe burden of rheumatoid arthritis (RA) and trends from 1990 to 2019 using the Global Burden of Diseases, Injuries and Risk Factors Study (GBD) data, (2) to describe age and sex differences in RA and (3) to compare Canada's RA burden to that of other countries. METHODS: Disease burden indicators included prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs) and disability-adjusted life-years (DALYs). GBD estimated fatal and non-fatal outcomes using published literature, survey data and health insurance claims. Data were analysed by Bayesian meta-regression, cause of death ensemble model and other statistical methods. DALYs for Canada were compared with DALYs of countries with similarly high Socio-Demographic Index values. RESULTS: In Canada, the RA prevalence rate increased by 27% between 1990 and 2019, mortality rate decreased by 27%, YLL rate decreased by 30%, YLD increased by 27% and DALY rate increased by 13%, all age standardised. The decline in RA mortality and YLL rates was especially pronounced after 2002. The disease burden was higher in females for all indicators, and DALY rates were higher among older age groups, peaking at age 75-79 years. Prevalence and DALYs were higher in Canada compared with global rates. CONCLUSION: Trends in RA burden indicators over time and differences by age and sex have important implications for Canadian policy-makers, researchers and care providers. Early identification and management of RA in women may help reduce the overall burden of RA in Canada.

Diabetic Cardiomyopathy: 2023 Update by the International Multidisciplinary Board of Experts.

Diabetes mellitus (DM) is considered by many the pandemic of the 21st century and is associated with multiple organ damages. Among these, cardiovascular complications are responsible for an incredible burden of mortality and morbidity in Western Countries. The study of the pathological mechanisms responsible for the cardiovascular complications in DM patients is key for the development of new therapeutic strategies. The metabolic disorders caused by hyperglycemia, insulin resistance, and dyslipidemia, results in a cascade of pathomorphological changes favoring the atherosclerotic process and leading to myocardial remodeling. Parallel to this, oxidative stress, calcium overload, mitochondrial dysfunction, activation of protein kinase C signaling pathways, myocardial lipomatosis, and low-grade inflammation of the myocardium - are the main pathways responsible for the diabetic cardiomyopathy development. This review aims to appraise and discuss the pathogenetic mechanisms behind the diabetic cardiomyopathy development.

Body weight changes and diabetes mellitus incident: A cohort study from the Middle East.

Objective: Obesity is a known risk factor for diabetes, but the effect of weight changes on the incidence of diabetes is not yet determined. This study aims to evaluate the long-term effects of weight change [based on body mass index (BMI)] on the incidence of diabetes mellitus (DM) in a middle eastern population. Method: In the Isfahan Cohort Study (ICS) 6504 adults equal or greater than 35 years of age were recruited at 2001 and were followed until 2013. Absolute BMI changes (ΔBMI) were calculated by subtracting the baseline BMI from the BMI measured at follow-ups. To compare participants with different baseline BMI easier, relative changes in BMI were quantified as the percentage of changes from baseline. DM was assessed based on standard definitions. Multivariable Cox regression was used to determine the association between ΔBMI and the incidence of diabetes. Results: During follow-ups, 261 new cases of diabetes were recorded, with an IR of 3401.29 per 100,000 P-Y. The highest number of new cases of type 2 DM belongs to participants with overweight and obesity who had minimal BMI changes (less than 5% of their baseline BMI limits; 42 and 38 new cases, respectively). Participants who were obese at baseline and had lost more than 10% or gained 5-10% of baseline BMI were in the groups with the highest IR [360.05-95% CI (239.3-541.8) and 322.39-95% CI (178.5-582.1) respectively]. There was no significant association between BMI changes and the incidence of DM in the participants with normal BMI, overweight, and obesity at baseline in cure and adjusted models. Conclusions: This study showed there was no significant association between diabetes mellitus incidence and BMI changes.