Diagnostic power of circulatory metabolic biomarkers as metabolic syndrome risk predictors in community-dwelling older adults in Northwest of England (a feasibility study)

© 2021 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/nu13072275Metabolic Syndrome (MetS) is a cluster of risk factors for diabetes and cardiovascular diseases with pathophysiology strongly linked to aging. A range of circulatory metabolic biomarkers such as inflammatory adipokines have been associated with MetS; however, the diagnostic power of these markers as MetS risk correlates in elderly has yet to be elucidated. This cross-sectional study investigated the diagnostic power of circulatory metabolic biomarkers as MetS risk correlates in older adults. Hundred community dwelling older adults (mean age: 68.7 years) were recruited in a study, where their blood pressure, body composition and Pulse Wave Velocity (PWV) were measured; and their fasting capillary and venous blood were collected. The components of the MetS; and the serum concentrations of Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α), Plasminogen Activator Inhibitor-I (PAI-I), Leptin, Adiponectin, Resistin, Cystatin-C, C-Reactive Protein (CRP), insulin and ferritin were measured within the laboratory, and the HOMA1-IR and Atherogenic Index of Plasma (AIP) were calculated. Apart from other markers which were related with some cardiometabolic (CM) risk, after Bonferroni correction insulin had significant association with all components of Mets and AIP. These associations also remained significant in multivariate regression. The multivariate odds ratio (OR with 95% confidence interval (CI)) showed a statistically significant association between IL-6 (OR: 1.32 (1.06-1.64)), TNF-α (OR: 1.37 (1.02-1.84)), Resistin (OR: 1.27 (1.04-1.54)) and CRP (OR: 1.29 (1.09-1.54)) with MetS risk; however, these associations were not found when the model was adjusted for age, dietary intake and adiposity. In unadjusted models, insulin was consistently statistically associated with at least two CM risk factors (OR: 1.33 (1.16-1.53)) and MetS risk (OR: 1.24 (1.12-1.37)) and in adjusted models it was found to be associated with at least two CM risk factors and MetS risk (OR: 1.87 (1.24-2.83) and OR: 1.25 (1.09-1.43)) respectively. Area under curve (AUC) for receiver operating characteristics (ROC) demonstrated a good discriminatory diagnostics power of insulin with AUC: 0.775 (0.683-0.866) and 0.785 by cross validation and bootstrapping samples for at least two CM risk factors and AUC: 0.773 (0.653-0.893) and 0.783 by cross validation and bootstrapping samples for MetS risk. This was superior to all other AUC reported from the ROC analysis of other biomarkers. Area under precision-recall curve for insulin was also superior to all other markers (0.839 and 0.586 for at least two CM risk factors and MetS, respectively). Fasting serum insulin concentration was statistically linked with MetS and its risk, and this link is stronger than all other biomarkers. Our ROC analysis confirmed the discriminatory diagnostic power of insulin as CM and MetS risk correlate in older adults.Published versio

Developing Non-Laboratory Cardiovascular Risk Assessment Charts and Validating Laboratory and Non-Laboratory-Based Models.

BACKGROUND: Developing simplified risk assessment model based on non-laboratory risk factors that could determine cardiovascular risk as accurately as laboratory-based one can be valuable, particularly in developing countries where there are limited resources. OBJECTIVE: To develop a simplified non-laboratory cardiovascular disease risk assessment chart based on previously reported laboratory-based chart and evaluate internal and external validation, and recalibration of both risk models to assess the performance of risk scoring tools in other population. METHODS: A 10-year non-laboratory-based risk prediction chart was developed for fatal and non-fatal CVD using Cox Proportional Hazard regression. Data from the Isfahan Cohort Study (ICS), a population-based study among 6504 adults aged ≥ 35 years, followed-up for at least ten years was used for the non-laboratory-based model derivation. Participants were followed up until the occurrence of CVD events. Tehran Lipid and Glucose Study (TLGS) data was used to evaluate the external validity of both non-laboratory and laboratory risk assessment models in other populations rather than one used in the model derivation. RESULTS: The discrimination and calibration analysis of the non-laboratory model showed the following values of Harrell's C: 0.73 (95% CI 0.71-0.74), and Nam-D'Agostino χ2:11.01 (p = 0.27), respectively. The non-laboratory model was in agreement and classified high risk and low risk patients as accurately as the laboratory one. Both non-laboratory and laboratory risk prediction models showed good discrimination in the external validation, with Harrell's C of 0.77 (95% CI 0.75-0.78) and 0.78 (95% CI 0.76-0.79), respectively. CONCLUSIONS: Our simplified risk assessment model based on non-laboratory risk factors could determine cardiovascular risk as accurately as laboratory-based one. This approach can provide simple risk assessment tool where laboratory testing is unavailable, inconvenient, and costly

PARS risk charts: A 10-year study of risk assessment for cardiovascular diseases in Eastern Mediterranean Region

This study was designed to develop a risk assessment chart for the clinical management and prevention of the risk of cardiovascular disease (CVD) in Iranian population, which is vital for developing national prevention programs. The Isfahan Cohort Study (ICS) is a popu- lation-based prospective study of 6504 Iranian adults 35 years old, followed-up for ten years, from 2001 to 2010. Behavioral and cardiometabolic risk factors were examined every five years, while biennial follow-ups for the occurrence of the events was performed by phone calls or by verbal autopsy. Among these participants, 5432 (2784 women, 51.3%) were CVD free at baseline examination and had at least one follow-up. Cox proportional hazard regression was used to predict the risk of ischemic CVD events, including sudden cardiac death due to unstable angina, myocardial infarction, and stroke. The model fit statis- tics such as area under the receiver-operating characteristic (AUROC), calibration chi- square and the overall bias were used to assess the model performance. We also tested the Framingham model for comparison. Seven hundred and five CVD events occurred during 49452.8 person-years of follow-up. The event probabilities were calculated and presented color-coded on each gender-specific PARS chart. The AUROC and Harrell’s C indices were 0.74 (95% CI, 0.72–0.76) and 0.73, respectively. In the calibration, the Nam-D’Ago stino ¿ 2 was 10.82 (p = 0.29). The overall bias of the proposed model was 95.60%. PARS model was also internally validated using cross-validation. The Android app and the Web-based risk assessment tool were also developed as to have an impact on public health. In compari- son, the refitted and recalibrated Framingham models, estimated the CVD incidence with the overall bias of 149.60% and 128.23% for men, and 222.70% and 176.07% for women, respectively. In conclusion, the PARS risk assessment chart is a simple, accurate, and well- calibrated tool for predicting a 10-year risk of CVD occurrence in Iranian population and can be used in an attempt to develop national guidelines for the CVD management .Peer ReviewedPostprint (published version

Diagnostic Power of Circulatory Metabolic Biomarkers as Metabolic Syndrome Risk Predictors in Community-Dwelling Older Adults in Northwest of England (A Feasibility Study)

Background: Metabolic Syndrome (MetS) is a cluster of risk factors for diabetes and cardiovascular diseases with pathophysiology strongly linked to aging. A range of circulatory metabolic biomarkers such as inflammatory adipokines have been associated with MetS; however, the diagnostic power of these markers as MetS risk correlates in elderly has yet to be elucidated. This cross-sectional study investigated the diagnostic power of circulatory metabolic biomarkers as MetS risk correlates in older adults. Methods: Hundred community dwelling older adults (mean age: 68.7 years) were recruited in a study, where their blood pressure, body composition and Pulse Wave Velocity (PWV) were measured; and their fasting capillary and venous blood were collected. The components of the MetS; and the serum concentrations of Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α), Plasminogen Activator Inhibitor-I (PAI-I), Leptin, Adiponectin, Resistin, Cystatin-C, C-Reactive Protein (CRP), insulin and ferritin were measured within the laboratory, and the HOMA1-IR and Atherogenic Index of Plasma (AIP) were calculated. Results: Apart from other markers which were related with some cardiometabolic (CM) risk, after Bonferroni correction insulin had significant association with all components of Mets and AIP. These associations also remained significant in multivariate regression. The multivariate odds ratio (OR with 95% confidence interval (CI)) showed a statistically significant association between IL-6 (OR: 1.32 (1.06–1.64)), TNF-α (OR: 1.37 (1.02–1.84)), Resistin (OR: 1.27 (1.04–1.54)) and CRP (OR: 1.29 (1.09–1.54)) with MetS risk; however, these associations were not found when the model was adjusted for age, dietary intake and adiposity. In unadjusted models, insulin was consistently statistically associated with at least two CM risk factors (OR: 1.33 (1.16–1.53)) and MetS risk (OR: 1.24 (1.12–1.37)) and in adjusted models it was found to be associated with at least two CM risk factors and MetS risk (OR: 1.87 (1.24–2.83) and OR: 1.25 (1.09–1.43)) respectively. Area under curve (AUC) for receiver operating characteristics (ROC) demonstrated a good discriminatory diagnostics power of insulin with AUC: 0.775 (0.683–0.866) and 0.785 by cross validation and bootstrapping samples for at least two CM risk factors and AUC: 0.773 (0.653–0.893) and 0.783 by cross validation and bootstrapping samples for MetS risk. This was superior to all other AUC reported from the ROC analysis of other biomarkers. Area under precision-recall curve for insulin was also superior to all other markers (0.839 and 0.586 for at least two CM risk factors and MetS, respectively). Conclusion: Fasting serum insulin concentration was statistically linked with MetS and its risk, and this link is stronger than all other biomarkers. Our ROC analysis confirmed the discriminatory diagnostic power of insulin as CM and MetS risk correlate in older adults

High risky behaviors among intravenous drug users in Isfahan, Iran: A study for hepatitis C harm reduction programs

Objectives: Intravenous drug users (IVDUs) who share needles/syringes and practice sexual behaviors, are the most important group in the transmission of blood-borne infection diseases such as hepatitis C virus (HCV). Therefore identification of prevalent high-risky behaviors among IVDUs to detect the most route of transmission among them is essential to develop harm reduction programs among IVDUs and decrease HCV transmission from them to community. Methods: The cross-sectional study was carried out on 1510 intravenous drug users from November 2008 to February 2009 in Isfahan province, Iran. After obtaining consent form from participants, information was collected by interviewer-administered validated questionnaire. The data was analyzed with descriptive statistical methods by SPSS software, version 15. Results: 1510 IVDUs participated in the study with the mean age 32.16 ± 8.26. 66.4% of participants had a history of illegal sexual activity. Among male IVDUs who had illegal sexual contact, 40.6% reported having homosexual contact and 36.2% of them have used condom in their contact. Also 57.7% had sexual contact with female sex workers. 83.5% of IVDUs reported having multiple sexual partners, and 30.9% had IVDUs sexual partners. The mean number of injection and duration of injection among IVDUs were 75.12 ± 95.51 times per month and 12.34 ± 7.53 years respectively. 36.9% of subjects have reported sharing needles/syringes. Conclusions: According to the high prevalence of unprotected sexual contacts and unsafe injection among IVDUs, effectiveness interventions and harm reduction programs are necessary to prevent spread of blood-borne infection diseases particularly HCV. With reduction of risky behaviors and consequently decrease of spread of HCV, these programs benefit both drug users and society

Seroprevalence of hepatitis B virus and human immunodeficiency virus among young prisoners

Background: Juveniles in custody are affected by sexually transmitted infections due to risky behaviors. Therefore, they have a disproportionate burden of hepatitis B virus (HBV) and human immunodeficiency virus (HIV). In this study, the prevalence and associated characteristics of hepatitis B and HIV infections were assessed in young prisoners. Materials and Methods: In this cross-sectional study, prevalence of HBV and HIV infections was assessed among young prisoners during 2008-2009. A checklist consisting of demographic, social, and risk factors was filled out and blood was drawn for their tests. Sera were analyzed for hepatitis B surface antigen (HBs Ag), hepatitis B surface antibody (HBs Ab), hepatitis B core antibody (HBc Ab) and HIV Ab, and Western blot test was performed on antibody-positive HIV. Results: A total number of 160 young prisoners (147 boys and 13 girls) were evaluated. The mean age of the subjects was 16.59 ± 1.24 year. HBs Ag, HBc Ab, HBs Ab, and HIV Ab were detected in 1 (0.63%), 1 (0.63%), 52 (32.5%), and 1 (0.63%), respectively. Conclusion: With respect to national vaccination program against HBV infection, the juvenile prisoners had low prevalence of HBs Ab

Longitudinal association of dietary habits and the risk of cardiovascular disease among Iranian population between 2001 and 2013: the Isfahan Cohort Study

Abstract There has been a steady rise in the incidence of cardiovascular disease (CVD) in the Iranian population. The aim of this study is to investigate the association between Global Dietary Index (GDI) and CVD risk among the Iranian adult population. This study was conducted based on Isfahan Cohort Study, a longitudinal study that collected data between 2001 and 2013 on 6405 adults. Dietary intakes were assessed by a validated food frequency questionnaire to calculate GDI. All participants were followed every two years by phone call to ask about death, any hospitalization, or cardiovascular events to examine CVD events. The Average age of participants was 50.70 ± 11.63 and the median of GDI score was 1 (IQR: 0.29). A total of 751 CVD events (1.4 incidence rate, per 100 person-year) occurred during 52,704 person-years of follow-up. One-unit GDI increase was associated with a higher risk of MI by 72% (HR: 1.72; 95% CI 1.04–2.84), stroke by 76% (HR: 1.76; 95% CI 1.09–2.85) and CVD by 30% (HR: 1.48; 95% CI 1.02–2.65). In addition, a one-unit GDI increase was associated with a higher risk of coronary heart disease more than 2 times (HR: 2.32; 95% CI 1.50–3.60) and CVD mortality and all-cause mortality over than 3 times [(HR: 3.65; 95% CI 1.90–7.01) and (HR: 3.10; 95% CI 1.90–5.06), respectively]. Higher GDI had a significant relationship with the increased risk of CVD events and all-cause mortality. Further epidemiological studies in other populations are suggested to confirm our findings

Seroprevalence of hepatitis A in patients with chronic hepatitis C in Isfahan province

Objectives: Patients with Hepatitis C Virus infection are at high risk of getting hepatitis A virus. Hepatitis A virus is an important widespread virus that usually causes more severe medical consequences in patients with chronic liver disease. The purpose of this study was to evaluate prevalence of Hepatitis A Virus antibody in patients with chronic HCV in Isfahan province, Iran. Methods: A cross-sectional study was carried out on 117 patients with chronic hepatitis C virus from spring 2010 to spring 2011. Subject′s characteristics such as age, gender, education, genotype of HCV infection and history of intravenous drug use were collected by questionnaire and studied. Statistical analysis was done by SPSS software (version 19.0. 2010, SPSS) using Chi-square test, Fisher Exact tests and Cochran-Armitage trend test. Results: The mean age of the subjects was 33.18 ± 10.97 years. The seroprevalence of HAV was 94.9% in patients with chronic HCV. The prevalence of anti-HAV increased nearly as age increased. But, there was no statistically significant difference in HAV positive rate according to the age groups (P = 0.242) and other patient′s characteristics. Conclusions: According to the high HAV immunity in our study and less severe form of HAV infection, vaccination was not required in these patients. However, hepatitis A vaccination program should be performed in HAV seronegative patients with HCV to produce an adequate immune response

Seroprevalence of hepatitis C infection among laboratory health care workers in Isfahan, Iran

Objectives: Clinical laboratory health care workers can become infected through their occupation with blood-borne pathogens by percutanous injuries and mucocutaneous blood contacts such as cuts, needle sticks, splashes to mucous membranes or other body injuries. The purpose of this study was to determine the seroprevalence of, Hepatitis C virus (HCV), and some of the risk factors in medical laboratory health care workers. Methods: Through a descriptive cross sectional study, 203 participants employed in the clinical laboratories of the city of Isfahan, composed of medical laboratory technologists, technicians and cleaning staff were studied. Participant data were obtained through a self-reporting questionnaire and the level of anti-HCV antibody was measured by enzyme linked immunosorbent assay (ELISA). Chi-square test was used to determine risk factors associated with infection. Results: The mean age of the individuals (n = 203) was 35.8 ± 9.54 years. There were 115 women (56.7%) and 88 men (43.3%). All of the subjects were negative for HCV Ab. Conclusions: Hepatitis C infection is infrequent in laboratory health care workers in Isfahan province

Pathways leading to prevention of fatal and non-fatal cardiovascular disease: An interaction model on 15 years population-based cohort study

Background: A comprehensive study on the interaction of cardiovascular disease (CVD) risk factors is critical to prevent cardiovascular events. The main focus of this study is thus to understand direct and indirect relationships between different CVD risk factors. Methods: A longitudinal data on adults aged ≥35 years, who were free of CVD at baseline, were used in this study. The endpoints were CVD events, whereas their measurements were demographic, lifestyle components, socio-economics, anthropometric measures, laboratory findings, quality of life status, and psychological factors. A Bayesian structural equation modelling was used to determine the relationships among 21 relevant factors associated with total CVD, stroke, acute coronary syndrome (ACS), and fatal CVDs. Results: In this study, a total of 3161 individuals with complete information were involved in the study. A total of 407 CVD events, with an average age of 54.77(10.66) years, occurred during follow-up. The causal associations between six latent variables were identified in the causal network for fatal and non-fatal CVDs. Lipid profile, with the coefficient of 0.26 (0.01), influenced the occurrence of CVD events as the most critical factor, while it was indirectly mediated through risky behaviours and comorbidities. Lipid profile at baseline was influenced by a wide range of other protective factors, such as quality of life and healthy lifestyle components. Conclusions: Analysing a causal network of risk factors revealed the flow of information in direct and indirect paths. It also determined predictors and demonstrated the utility of integrating multi-factor data in a complex framework to identify novel preventable pathways to reduce the risk of CVDs.Medicine, Faculty ofNon UBCPopulation and Public Health (SPPH), School ofReviewedFacult