ABSTRACT
Metabolic syndrome (MetS) is becoming prevalent in the pediatric population. The existing pediatric MetS definitions (e.g., the International Diabetes Federation (IDF) definition and the modified National Cholesterol Education Program (NCEP) definition) involve complex cut-offs, precluding fast risk assessment in clinical practice.We proposed a simplified definition for assessing MetS risk in youths aged 6-17 years, and compared its performance with two existing widely used pediatric definitions (the IDF definition, and the NCEP definition) in 10 pediatric populations from 9 countries globally (n = 19,426) using the receiver operating characteristic (ROC) curve analyses. In general, the total MetS prevalence of 6.2% based on the simplified definition was roughly halfway between that of 4.2% and 7.7% estimated from the IDF and NCEP definitions, respectively. The ROC curve analyses showed a good agreement between the simplified definition and two existing definitions: the total area under the curve (95% confidence interval) of the proposed simplified definition for identifying MetS risk achieved 0.91 (0.89-0.92) and 0.79 (0.78-0.81) when using the IDF or NCEP definition as the gold standard, respectively.The proposed simplified definition may be useful for pediatricians to quickly identify MetS risk and cardiometabolic risk factors (CMRFs) clustering in clinical practice, and allow direct comparison of pediatric MetS prevalence across different populations, facilitating consistent pediatric MetS risk monitoring and the development of evidence-based pediatric MetS prevention strategies globally.
Subject(s)
Metabolic Syndrome , Humans , Metabolic Syndrome/epidemiology , Metabolic Syndrome/diagnosis , Adolescent , Child , Male , Female , Prevalence , ROC Curve , Global Health , Risk Assessment/methods , Risk FactorsABSTRACT
BACKGROUND: Waist-to-height ratio (WHtR) has been proposed as a simple and effective screening tool for assessing central obesity and cardiometabolic risk in both adult and pediatric populations. However, evidence suggests that the use of a uniform WHtR cut-off of 0.50 may not be universally optimal for pediatric populations globally. We aimed to determine the optimal cut-offs of WHtR in children and adolescents with increased cardiometabolic risk across different countries worldwide. METHODS: We used ten population-based cross-sectional data on 24,605 children and adolescents aged 6-18 years from Brazil, China, Greece, Iran, Italy, Korea, South Africa, Spain, the UK, and the USA for establishing optimal WHtR cut-offs. We performed an external independent test (9,619 children and adolescents aged 6-18 years who came from other six countries) to validate the optimal WHtR cut-offs based on the predicting performance for at least two or three cardiometabolic risk factors. RESULTS: Based on receiver operator characteristic curve analyses of various WHtR cut-offs to discriminate those with ≥ 2 cardiometabolic risk factors, the relatively optimal percentile cut-offs of WHtR in the normal weight subsample population in each country did not always coincide with a single fixed percentile, but varied from the 75th to 95th percentiles across the ten countries. However, these relatively optimal percentile values tended to cluster irrespective of sex, metabolic syndrome (MetS) criteria used, and WC measurement position. In general, using ≥ 2 cardiometabolic risk factors as the predictive outcome, the relatively optimal WHtR cut-off was around 0.50 in European and the US youths but was lower, around 0.46, in Asian, African, and South American youths. Secondary analyses that directly tested WHtR values ranging from 0.42 to 0.56 at 0.01 increments largely confirmed the results of the main analyses. In addition, the proposed cut-offs of 0.50 and 0.46 for two specific pediatric populations, respectively, showed a good performance in predicting ≥ 2 or ≥ 3 cardiometabolic risk factors in external independent test populations from six countries (Brazil, China, Germany, Italy, Korea, and the USA). CONCLUSIONS: The proposed international WHtR cut-offs are easy and useful to identify central obesity and cardiometabolic risk in children and adolescents globally, thus allowing international comparison across populations.
Subject(s)
Cardiovascular Diseases , Metabolic Syndrome , Adult , Humans , Adolescent , Child , Obesity, Abdominal/complications , Obesity, Abdominal/diagnosis , Cross-Sectional Studies , Obesity/complications , Metabolic Syndrome/diagnosis , Metabolic Syndrome/epidemiology , Metabolic Syndrome/complications , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/complications , Waist Circumference , Body Mass Index , Waist-Height Ratio , Risk FactorsABSTRACT
Rapid identification of existing respiratory viruses in biological samples is of utmost importance in strategies to combat pandemics. Inputting MALDI FT-ICR MS (matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry) data output into machine learning algorithms could hold promise in classifying positive samples for SARS-CoV-2. This study aimed to develop a fast and effective methodology to perform saliva-based screening of patients with suspected COVID-19, using the MALDI FT-ICR MS technique with a support vector machine (SVM). In the method optimization, the best sample preparation was obtained with the digestion of saliva in 10 µL of trypsin for 2 h and the MALDI analysis, which presented a satisfactory resolution for the analysis with 1 M. SVM models were created with data from the analysis of 97 samples that were designated as SARS-CoV-2 positives versus 52 negatives, confirmed by RT-PCR tests. SVM1 and SVM2 models showed the best results. The calibration group obtained 100% accuracy, and the test group 95.6% (SVM1) and 86.7% (SVM2). SVM1 selected 780 variables and has a false negative rate (FNR) of 0%, while SVM2 selected only two variables with a FNR of 3%. The proposed methodology suggests a promising tool to aid screening for COVID-19.
Subject(s)
COVID-19 , COVID-19/diagnosis , COVID-19 Testing , Fourier Analysis , Humans , Machine Learning , SARS-CoV-2 , Saliva , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methodsABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the worst global health crisis in living memory. The reverse transcription polymerase chain reaction (RT-qPCR) is considered the gold standard diagnostic method, but it exhibits limitations in the face of enormous demands. We evaluated a mid-infrared (MIR) data set of 237 saliva samples obtained from symptomatic patients (138 COVID-19 infections diagnosed via RT-qPCR). MIR spectra were evaluated via unsupervised random forest (URF) and classification models. Linear discriminant analysis (LDA) was applied following the genetic algorithm (GA-LDA), successive projection algorithm (SPA-LDA), partial least squares (PLS-DA), and a combination of dimension reduction and variable selection methods by particle swarm optimization (PSO-PLS-DA). Additionally, a consensus class was used. URF models can identify structures even in highly complex data. Individual models performed well, but the consensus class improved the validation performance to 85% accuracy, 93% sensitivity, 83% specificity, and a Matthew's correlation coefficient value of 0.69, with information at different spectral regions. Therefore, through this unsupervised and supervised framework methodology, it is possible to better highlight the spectral regions associated with positive samples, including lipid (â¼1700 cm-1), protein (â¼1400 cm-1), and nucleic acid (â¼1200-950 cm-1) regions. This methodology presents an important tool for a fast, noninvasive diagnostic technique, reducing costs and allowing for risk reduction strategies.
Subject(s)
COVID-19 , Saliva , Discriminant Analysis , Humans , Least-Squares Analysis , Multivariate Analysis , SARS-CoV-2 , Spectroscopy, Fourier Transform InfraredABSTRACT
BACKGROUND: Our purpose was to determine reference values and determinants of serum uric acid (SUA) in children and adolescents. METHODS: A fasting blood sample was collected from 1750 schoolchildren and adolescents (6-17 years). Puberty was defined according to the Tanner scale. Bodyweight, muscle mass, and body fat percentage were determined by bioimpedance. Data are given as cut-offs and mean ± standard deviation. RESULTS: SUA level was higher in children that had already entered puberty (4.2 ± 1.1 mg/dL) than among prepubescent (3.6 ± 0.8 mg/dL; p < 0.01). Considering the 90 percentile (p90) as the upper reference value, the following values are proposed for boys and girls, respectively: <10 years or prepubescent: ≤4.5 mg/dL and ≤4.8 mg/dL; from 10 to 13 years: ≤5.7 mg/dL and ≤5.2 mg/dL; from 14 to 17 years: ≤6.4 mg/dL and ≤5.3 mg/dL. Muscle mass explained part of the variability in SUA after pubescence, acting as an independent variable for higher levels of SUA. CONCLUSIONS: The sex, age, and phase of puberty influence SUA reference levels, and part of this influence could be explained by the higher muscle mass, mainly after the adolescence onset. IMPACT: The key message of this study is that high levels of uric acid in the blood are associated with metabolic syndrome and cardiovascular risk factors. These diseases should be prevented since the infancy However, it is necessary to establish reference values of uric acid (SUA) for children and adolescents. The Brazilian population is highly admixed and these values were not determined so far. We studied a robust sample of Brazilian schoolchildren and adolescents (6-17 years) and defined the 90th percentile of uric acid as the upper limit of normality for sex, age, and pubertal stage. These values can be used as a reference for other populations with similar characteristics.
Subject(s)
Uric Acid/blood , Adolescent , Biomarkers/blood , Brazil , Child , Female , Humans , Male , Reference Standards , Uric Acid/standardsABSTRACT
BACKGROUND AND AIM: Hyperuricemia in adults is associated with cardiovascular risk factors. However, there is less data regarding this association in children and adolescents. Our purpose was to determine association between serum uric acid (SUA) and cardiovascular risk. METHODS AND RESULTS: A fasting blood sample was collected from 1750 participants aged 6-17 years enrolled in a social project and public schools in Espírito Santo, Brazil. Internal cut-offs were generated to define high SUA (≥90th percentile of SUA concentration for sex and age group). Body mass index percentile (pBMI), body fat percentage (BFP) and muscle mass were determined by bioimpedance. Data are given as mean ± standard deviation. High SUA was associated with overweight/obesity (OR 3.7 CI 95% 2.7-5.0), high waist circumference (WC) (OR 3.9 CI 95% 2.9-5.4), low HDL (OR 2.0 CI 95% 1.5-2.8), high blood pressure (BP) (OR 1.8 CI 95% 1.1-3.2), high BFP (OR 4.1 CI 95% 2.7-6.4), metabolic syndrome (MetS) (OR 3.6 CI 95% 1.8-7.1) and insulin resistance (OR 1.7 CI 95% 1.1-2.7). Individuals in the fourth quartile of SUA, compared to those in the first quartile, showed higher age, pBMI, WC, BFP and muscle mass. Using a reference value of 5.5 mg/dL, the prevalence of hyperuricemia in the sample was 10.3% (CI 95% 8.9-11.7%). CONCLUSION: Higher SUA values are associated with higher cardiovascular risk in childhood and adolescence. The main cardiovascular risk factors associated with hyperuricemia were overweight/obesity, high WC, dyslipidemia, high BFP, high BP, insulin resistance and MetS.
Subject(s)
Cardiovascular Diseases/epidemiology , Hyperuricemia/epidemiology , Metabolic Syndrome/epidemiology , Uric Acid/blood , Adolescent , Age Factors , Biomarkers/blood , Brazil/epidemiology , Cardiometabolic Risk Factors , Cardiovascular Diseases/diagnosis , Child , Cross-Sectional Studies , Female , Humans , Hyperuricemia/blood , Hyperuricemia/diagnosis , Male , Metabolic Syndrome/blood , Metabolic Syndrome/diagnosis , Prevalence , Prognosis , Risk AssessmentABSTRACT
BACKGROUND AND AIMS: The prospective association between sugar-sweetened beverages consumption and hyperuricemia is controversial. The aim was to investigate the association of the consumption of sugar-sweetened soft drinks and unsweetened fruit juices with the incidence of hyperuricemia and the levels of serum uric acid in the participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). METHODS AND RESULTS: Longitudinal analysis in ELSA-Brasil participants (baseline 2008-2010 and follow-up 2012-2014). The sample consisted of 10,072 civil servants (35-74 years, both sexes). The consumption of beverages estimated by a food frequency questionnaire (baseline) was divided into five categories: nonconsumption and quartiles (≥0.1 mL/day). Hyperuricemia was defined as uric acid ≥7.0 mg/dL (men) and ≥5.7 mg/dL (women). Poisson regression with robust variance and multiple linear regression were tested. The average consumption of soft drinks was 84 ± 191 mL/day in men and 42 ± 128 mL/day in women. After 4 years of follow-up, the higher consumption of soft drinks (men: 401 ± 303 mL/day; women: 390 ± 290 mL/day) increased the relative risk of hyperuricemia by 30% (men) and 40% (women), and was associated with increased mean uric acid (men: ß = 0.14 mg/dL; 95% CI 0.41-0.24; women: ß = 0.11 mg/dL; 95% CI 0.00-0.21). The consumption of unsweetened juice was not associated with hyperuricemia. CONCLUSION: High consumption of sugar-sweetened soft drinks is associated with an increased relative risk of hyperuricemia and elevated serum uric acid levels in Brazilian adults.
Subject(s)
Hyperuricemia/diagnosis , Hyperuricemia/epidemiology , Sugar-Sweetened Beverages/adverse effects , Uric Acid/blood , Adult , Aged , Biomarkers/blood , Brazil/epidemiology , Female , Humans , Hyperuricemia/blood , Incidence , Longitudinal Studies , Male , Middle Aged , Nutritive Value , Risk Assessment , Risk Factors , Time FactorsABSTRACT
BACKGROUND: We aimed to analyse if the effects of coexistent diabetes and subclinical hypothyroidism extend to the cardio autonomic nervous system, using heart rate variability baseline data from the Brazilian Longitudinal Study of Adult Health. MATERIALS AND METHODS: Heart rate variability analyses were performed by linear time and frequency domains in 5-minute time series collected in the supine position. The associations of diabetes and subclinical hypothyroidism with the lowest quartile group for heart rate and the highest quartile group for each heart rate variability parameter were analysed using additive and multiplicative terms in logistic models. For the first approach, the subsample was categorized into four groups: subjects without diabetes and normal thyroid function (controls); subjects without diabetes and subclinical hypothyroidism; patients with diabetes and normal thyroid function; and patients with diabetes and subclinical hypothyroidism. For the interaction alnalysis, diabetes and subclinical hypothyroidism diagnoses were included in separate, along with a multiplicative interaction term between them. RESULTS: Point odds ratio estimates for the 4th quartiles of heart rate, and 1st quartiles of all heart rate variability measurements were higher for subjects with combined diabetes and subclinical hypothyroidism than for diabetes only, independently of main sociodemographic and clinical variables (HR: 8.33 vs 2.63; SDNN: 2.59 vs 1.61; RMSSD: 2.37 vs 1.42; LF: 2.83 vs 1.71; HF: 3.06 vs 1.39), but not independently of HbA1c and TSH. Only the interaction term for the association with heart rate, adjusted for sociodemographic and clinical variables, had borderline statistical significance. CONCLUSION: Diabetes and subclinical hypothyroidism exert a potential joint impact on cardiac autonomic control, showed by additive effects between diabetes and subclinical hypothyroidism, as well as a significant interaction term for the association with heart rate.
Subject(s)
Asymptomatic Diseases , Autonomic Nervous System/physiopathology , Diabetes Mellitus/physiopathology , Heart Rate , Hypothyroidism/physiopathology , Adult , Aged , Brazil , Female , Humans , Hypothyroidism/blood , Hypothyroidism/complications , Male , Middle AgedABSTRACT
BACKGROUND AND AIM: Uric acid (UA) is an end-product of purine catabolism and its increase in blood is a risk factor for several diseases. UA levels in men are usually higher than in women. This difference is partially due to sex hormones. We sought to investigate the onset of sexual difference in UA levels during pubertal development and the determinants of UA levels in children and adolescents. METHODS AND RESULTS: The muscle mass and fat mass were measured by multi-frequency bioelectrical impedance in a cross-sectional study involving 823 children and adolescents (both sexes; 6-18 years). Serum UA was determined using a commercially available kit. UA levels started to become higher in boys (5.0 ± 1.0 mg/dL) than in girls (4.1 ± 0.9 mg/dL) around 13 years. Boys in the highest quartile of muscle mass presented higher UA levels (5.2 ± 0.7 mg/dL) when compared with the third (4.2 ± 0.7 mg/dL), second (3.7 ± 0.9 mg/dL) and first (3.4 ± 0.9 mg/dL). Similarly, girls in the highest quartile of muscle mass presented higher UA levels (4.2 ± 0.7 mg/dL) when compared with the second (3.8 ± 0.9 mg/dL) and first (3.3 ± 0.9 mg/dL). Muscle mass explained 43.0% and 7.7% of the variability of UA in boys and girls, respectively. CONCLUSION: Sexual differences in serum UA levels begin at puberty and partially result from a direct influence of muscle mass.
Subject(s)
Body Composition , Child Development , Muscle, Skeletal/growth & development , Puberty , Uric Acid/blood , Adolescent , Adolescent Development , Age Factors , Biomarkers/blood , Child , Cross-Sectional Studies , Humans , Organ Size , Sex Characteristics , Sex FactorsABSTRACT
Impairment of the myogenic response can affect capillary hydrostatic pressure and contribute to peripheral edema and exercise intolerance, which are markers of heart failure (HF). The aim of this study was to assess the effects of exercise training (ET) on myogenic response in skeletal muscle resistance arteries and peripheral edema in HF rats, focusing on the potential signaling pathways involved in these adjustments. Male Wistar rats were submitted to either coronary artery occlusion or a sham-operated surgery. After 4 wk, an exercise test was performed, and the rats were divided into the following groups: untrained normal control (UNC) and untrained HF (UHF) and exercise- trained (on treadmill, 50-60% of maximal capacity) NC (TNC) and exercise-trained HF (THF). Caudal tibial artery (CTA) myogenic response was impaired in UHF compared with UNC, and ET restored this response in THF to NC levels and increased it in TNC. Rho kinase (ROCK) inhibitor abolished CTA myogenic response in the untrained and blunted it in exercise-trained groups. CTA-stored calcium (Ca2+) mobilization was higher in exercise-trained rats compared with untrained rats. The paw volume was higher in UHF rats, and ET decreased this response compared with UNC. Myogenic constriction was positively correlated with maximal running distance and negatively correlated with paw volume. The results demonstrate, for the first time, that HF impairs the myogenic response in skeletal muscle arteries, which contributes to peripheral edema in this syndrome. ET restores the myogenic response in skeletal muscle arteries improving Ca2+ sensitization and handling. Additionally, this paradigm also improves peripheral edema and exercise intolerance. NEW & NOTEWORTHY The novel and main finding of the present study is that moderate intensity exercise training restores the impaired myogenic response of skeletal muscle resistance arteries, exercise intolerance and peripheral edema in rats with heart failure. These results also show for the first time to our knowledge that exercise training improving calcium sensitization through the ROCK pathway and enhancing intracellular calcium handling could contribute to restoration of flow autoregulation to skeletal muscle in heart failure.
Subject(s)
Edema/therapy , Exercise Therapy , Exercise Tolerance , Heart Failure/therapy , Muscle, Skeletal/blood supply , Physical Conditioning, Animal , Tibial Arteries/physiopathology , Vascular Resistance , Vasoconstriction , Animals , Calcium Signaling , Calcium-Binding Proteins/metabolism , Disease Models, Animal , Edema/metabolism , Edema/physiopathology , Heart Failure/metabolism , Heart Failure/physiopathology , Male , Rats, Wistar , Recovery of Function , Running , Sarcoplasmic Reticulum Calcium-Transporting ATPases/metabolism , Tibial Arteries/metabolism , rho-Associated Kinases/metabolismABSTRACT
AIM: To investigate whether heart rate variability (HRV) is a predictor for the incidence of diabetes in a 4-year follow-up. MATERIALS AND METHODS: The HRV of 9192 participants free of diabetes was analysed in time and frequency domains and stratified based on the reference values presented in the literature. The participants were then allocated to one of three groups, according to age-specific value distributions for each HRV domain: lower than the 25th percentile, between the 25th and 75th percentiles, and higher than the 75th percentile. The association between HRV and diabetes incidence at 4-year follow-up was analysed using Poisson regression models with robust estimator. RESULTS: Six hundred thirty-four participants (6.90%) developed diabetes within 4 years and five out of six HRV analysed indices showed increased relative risk of developing diabetes associated with low HRV: SDNN (RR = 1.29; 95% CI, 1.09-1.52; .003), pNN50 (RR = 1.33; 95% CI, 1.11-1.58; .001), RMSSD (RR = 1.29; 95% CI, 1.09-1.53; .004), LF (RR = 1.25; 95% CI, 1.05-1.48; .012), and HF (RR = 1.39; 95% CI, 1.16-1.63; .001). CONCLUSIONS: This study suggests that both overall variability and changes in parasympathetic modulation precede the incidence of diabetes. For four HRV indices below the 25th percentile, the risk for incident diabetes was 68% higher than for those participants who presented none. We concluded that HRV is an independent risk predictor of diabetes in a 4-year period.
Subject(s)
Arrhythmias, Cardiac/physiopathology , Diabetes Mellitus/diagnosis , Heart Conduction System/physiopathology , Heart Rate , Adult , Aged , Diabetes Mellitus/epidemiology , Female , Follow-Up Studies , Humans , Longitudinal Studies , Male , Middle Aged , Predictive Value of Tests , Prospective StudiesABSTRACT
Subendocardial viability ratio (SEVR) is a reliable index of myocardial supply-workload balance. This study sought to investigate whether overweight/obese children and adolescents have altered SEVR and to identify which are the associated factors. This cross-sectional study involved 789 individuals. Central haemodynamic was measured by radial applanation tonometry. Diastolic time was shorter (496 ± 122 vs 537 ± 140 ms, P = .014) and diastolic pressure-time index was lower (2681 ± 412 vs 2814 ± 423 mm Hg seconds, P = .024) in overweight/obese compared with eutrophic girls. SEVR was lower in girls than in boys (1.34 ± 0.39 vs 1.48 ± 0.41, P = .018) but only among overweight/obese. SEVR may be affected by small variations in the temporal determinants of cardiac cycle.
Subject(s)
Endocardium/physiopathology , Hemodynamics , Obesity/physiopathology , Sex Characteristics , Adolescent , Child , Endocardium/pathology , Female , Humans , Male , Obesity/pathology , Tissue SurvivalABSTRACT
OBJECTIVE: Debate has focused on the effects of the selective serotonin reuptake inhibitor (SSRI) antidepressants on heart rate (HR) and HR variability (HRV), both of which are predictors of adverse cardiovascular events. Here, we examine the associations between specific SSRI antidepressants and resting state HR (and HRV) after accounting for a host of potential confounding factors using propensity score techniques. METHODS: Participants included 10,466 not taking antidepressants, 46 participants taking escitalopram, 86 taking citalopram, 66 taking fluoxetine, 103 taking paroxetine, and 139 taking sertraline. HR and HRV (root mean square of successive squared differences, high frequency) were extracted from 10-minute resting-state ECGs. Analyses including propensity score weighting and matching were conducted using R-statistics to control for potentially confounding variables. RESULTS: Major findings indicated that users of all SSRI medications-except fluoxetine-displayed lower HRV relative to nonusers. Users of paroxetine also displayed significantly lower HRV relative to users of citalopram (Cohen's d = 0.42), fluoxetine (Cohen's d = 0.54), and sertraline (Cohen's d = 0.35), but not escitalopram. Although associations were also observed for HR, these were less robust than those for HRV. CONCLUSIONS: Although paroxetine is associated with decreases in HRV relative to nonusers, as well as users of other SSRI medications, fluoxetine was the only medication not to display significant alterations in HR or HRV. These conclusions are limited by the cross-sectional design and nonrandomized nature of medication prescriptions. Findings highlight the importance of focusing on specific medications, rather than more heterogeneous groupings according to antidepressant action, and may have implications for health and well-being for the longer term.
Subject(s)
Citalopram/adverse effects , Electrocardiography/drug effects , Fluoxetine/adverse effects , Heart Rate/drug effects , Paroxetine/adverse effects , Selective Serotonin Reuptake Inhibitors/adverse effects , Sertraline/adverse effects , Adult , Aged , Brazil , Female , Humans , Male , Middle AgedABSTRACT
OBJECTIVES: African Americans are characterized by higher heart rate variability (HRV), a finding ostensibly associated with beneficial health outcomes. However, these findings are at odds with other evidence that blacks have worse cardiovascular outcomes. Here, we examine associations in a large cohort from the ELSA-Brasil study and determined whether these effects are mediated by discrimination. METHODS: Three groups were compared on the basis of self-declared race: "black" (n = 2,020), "brown" (n = 3,502), and "white" (n = 6,467). Perceived discrimination was measured using a modified version of the Everyday Discrimination Scale. Resting-state HRV was extracted from 10-minute resting-state electrocardiograms. Racial differences in HRV were determined by regression analyses weighted by propensity scores, which controlled for potentially confounding variables including age, sex, education, and other health-related information. Nonlinear mediation analysis quantified the average total effect, comprising direct (race-HRV) and indirect (race-discrimination-HRV) pathways. RESULTS: Black participants displayed higher HRV relative to brown (Cohen's d = 0.20) and white participants (Cohen's d = 0.31). Brown relative to white participants also displayed a small but significantly higher HRV (Cohen's d = 0.14). Discrimination indirectly contributed to the effects of race on HRV. CONCLUSIONS: This large cohort from the Brazilian population shows that HRV is greatest in black, followed by brown, relative to white participants. The presence of higher HRV in these groups may reflect a sustained compensatory psychophysiological response to the adverse effects of discrimination. Additional research is needed to determine the health consequences of these differences in HRV across racial and ethnic groups.
Subject(s)
Government Employees/statistics & numerical data , Heart Rate/physiology , Racial Groups/statistics & numerical data , Racism/statistics & numerical data , Adult , Aged , Black People/statistics & numerical data , Brazil/ethnology , Humans , Middle Aged , Racism/ethnology , White People/statistics & numerical dataABSTRACT
AIM: The endothelium, mainly via nitric oxide (NO) release, adjusts the coronary flow. Cardiac function is closely linked to blood flow; thus, we tested the hypothesis that NO modulation in coronary arteries could be differentially adjusted after myocardial infarction (MI) in the presence or absence of heart failure (HF). METHODS AND RESULTS: Four weeks after coronary occlusion, the infarcted rats were subdivided into rats without (MI) or with HF signs according to haemodynamic parameters. The septal coronary arteries were subsequently used to perform functional and molecular experiments. Acetylcholine (ACh)-induced relaxation was decreased in the coronary arteries following HF, whereas it was enhanced in the arteries of the MI compared with those of SHAM-operated (SO) rats. The relaxation induced by the NO donor was similar among the groups. NO production, which was evaluated by 4,5-diaminofluorescein diacetate, was reduced in the coronary arteries of the HF group and increased in the arteries with MI after ACh-induced stimulation. HF coronary arteries exhibited oxidative stress, which was evaluated via ethidium bromide-positive nuclei, whereas it was decreased in MI. To evaluate the mechanisms involved in the enhanced ACh-induced relaxation in the arteries following MI, certain septal coronary arteries were pre-incubated with L-NAME (a nonselective NO synthase (NOS) inhibitor), 7-NI (a selective neuronal NOS (nNOS) inhibitor) or LY294002 (a PI3-kinase inhibitor). L-NAME and LY294002 reduced ACh-induced relaxation in the MI and SO rats; however, these effects were greater in the MI arteries. 7-NI reduced only the ACh-relaxation in MI. In addition, the eNOS, nNOS, Akt, and superoxide dismutase isoform protein expressions were greater in the coronary arteries of the MI than in those of the SO groups. CONCLUSION: Our data suggested that endothelial function was closely related to cardiac function after coronary occlusion. The coronary arteries from the HF rats exhibited reduced NO bioavailability, whereas the MI rats exhibited increased NO bioavailability because of increased eNOS/nNOS/PI3-kinase/Akt pathway and a reduction in ROS generation. These results suggest that enhanced NO modulation can prevent the onset of HF.
Subject(s)
Heart Failure/metabolism , Myocardial Infarction/metabolism , Nitric Oxide/metabolism , Vasodilation/drug effects , Acetylcholine/administration & dosage , Animals , Biological Availability , Coronary Occlusion , Coronary Vessels/drug effects , Coronary Vessels/metabolism , Coronary Vessels/pathology , Endothelium, Vascular/drug effects , Endothelium, Vascular/metabolism , Endothelium, Vascular/pathology , Heart Failure/drug therapy , Heart Failure/pathology , Humans , Myocardial Infarction/drug therapy , Myocardial Infarction/pathology , NG-Nitroarginine Methyl Ester/administration & dosage , Oxidative Stress/drug effects , Rats , Vasodilator Agents/administration & dosageABSTRACT
Attenuated Total Reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy is an emerging technology in the medical field. Blood D-dimer was initially studied as a marker of the activation of coagulation and fibrinolysis. It is mainly used as a potential diagnosis screening test for pulmonary embolism or deep vein thrombosis but was recently associated with COVID-19 severity. This study aimed to evaluate the use of ATR-FTIR spectroscopy with machine learning to classify plasma D-dimer concentrations. The plasma ATR-FTIR spectra from 100 patients were studied through principal component analysis (PCA) and two supervised approaches: genetic algorithm with linear discriminant analysis (GA-LDA) and partial least squares with linear discriminant (PLS-DA). The spectra were truncated to the fingerprint region (1800-1000 cm-1). The GA-LDA method effectively classified patients according to D-dimer cutoff (≤0.5 µg/mL and >0.5 µg/mL) with 87.5 % specificity and 100 % sensitivity on the training set, and 85.7 % specificity, and 95.6 % sensitivity on the test set. Thus, we demonstrate that ATR-FTIR spectroscopy might be an important additional tool for classifying patients according to D-dimer values. ATR-FTIR spectral analyses associated with clinical evidence can contribute to a faster and more accurate medical diagnosis, reduce patient morbidity, and save resources and demand for professionals.
Subject(s)
Spectroscopy, Fourier Transform Infrared , Humans , Spectroscopy, Fourier Transform Infrared/methods , Fourier Analysis , Discriminant Analysis , Principal Component Analysis , Ataxia Telangiectasia Mutated ProteinsABSTRACT
BACKGROUND AND AIMS: Insulin resistance (IR) is a risk factor for several cardiometabolic disorders; however, there is conflicting evidence about the reliability of certain IR markers. In this context, the triglyceride-glucose index (TyG) has been proposed as a surrogate marker for IR. This study aimed to compare the TyG index and homeostasis model assessment of insulin resistance (HOMA-IR). METHODS AND RESULTS: A cross-sectional analysis was conducted using baseline data from 11,314 adults (aged 35-74 years) from the ELSA-Brasil study. The correlation between TyG and HOMA-IR, their interrater reliability, and their predictive value in identifying metabolic syndrome (MetS) were assessed. The mean TyG and HOMA-IR in our sample were 8.81 ± 0.52 and 2.78 ± 1.58 for men, and 8.53 ± 0.48 and 2.49 ± 1.38 for women, respectively. TyG and HOMA-IR showed a weak to moderate correlation with each other (Pearson's r for men: 0.395 and 0.409 for women, p-value <0.05) and other markers of glycemic metabolism. Additionally, the area under the curve for the prediction of MetS was greater for TyG than HOMA-IR, regardless of sex (TyG: 0.836 for men and 0.826 for women; HOMA-IR: 0.775 for men and 0.787 for women). The concordance between these markers was low (Cohens kappa coefficient: 0.307 for men and 0.306 for women). Individuals with increased TyG exhibited mainly anthropometrical and glycemic metabolic alterations, whereas those with elevated HOMA-IR displayed mostly lipid-associated metabolic alterations. CONCLUSION: TyG and HOMA-IR might indicate different profiles of cardiometabolic disorders, showing poor agreement in classifying individuals (normal vs. altered) and a weak correlation. Therefore, further studies are needed to investigate the role of TyG as a surrogate marker of IR.
ABSTRACT
Background and Objective: Hypertension and type-2 diabetes are strong risk factors for cardiovascular diseases, and their management requires lifestyle changes, including a shift in dietary habits. The consumption of salt has increased in the last decades in some countries, but its association with type-2 diabetes remains unknown. Thus, we aimed to estimate the amount of salt intake among adults with and without diabetes and to assess whether concomitant hypertension and diabetes are associated with higher salt intake. Methods: Data from 11,982 adults 35-74 years of age enrolled in the baseline of the Longitudinal Study of Adult Health-Brasil study (2008-2010) were studied. A clinical and anthropometric evaluation was performed, and their daily salt intake was estimated by the overnight 12-hr urine sodium excretion. Results: Salt intake (gram per day) was higher in participants with diabetes as compared with those without diabetes, regardless of sex (men: 14.2 ± 6.4 vs. 12.4 ± 5.6, P < 0.05; women: 10.5 ± 4.8 vs. 9.1 ± 4.1, P < 0.05). However, salt intake is high in participants with fasting glucose ≥126 mg/dL or HbA1c ≥6.5%, but not in participants with blood glucose 2 hr after the glucose tolerance test ≥200 mg/dL. When hypertension and diabetes coexisted, salt consumption was higher than among people without these conditions. The prevalence of hypertension increased with increasing salt intake in women with diabetes, but not in men with this condition. Conclusions: Our findings highlight the high consumption of salt in individuals with diabetes and/or hypertension, and the need for effective strategies to reduce salt consumption in these groups of increased risk for major cardiovascular events, especially in women.
Subject(s)
Diabetes Mellitus, Type 2 , Hypertension , Sodium Chloride, Dietary , Humans , Female , Middle Aged , Male , Longitudinal Studies , Adult , Hypertension/epidemiology , Hypertension/complications , Sodium Chloride, Dietary/adverse effects , Sodium Chloride, Dietary/administration & dosage , Brazil/epidemiology , Aged , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/complications , Risk Factors , Blood Pressure , Blood Glucose/metabolism , Blood Glucose/analysisABSTRACT
AIMS: The clinical utility of waist-to-height ratio (WHtR) in predicting cardiometabolic risk factors (CMRFs) and subclinical markers of cardiovascular disease remains controversial. We aimed to compare the utility of WHtR with waist circumference (WC) and body mass index (BMI) in identifying children and adolescents (youths) at risk for cardiometabolic outcomes, including clustered CMRFs, high carotid intima-media thickness (cIMT), and arterial stiffness (assessed as high pulse wave velocity, PWV). METHODS: We analyzed data from 34,224 youths (51.0 % boys, aged 6-18 years) with CMRFs, 5004 (49.5 % boys, aged 6-18 years) with cIMT measurement, and 3100 (56.4 % boys, aged 6-17 years) with PWV measurement from 20 pediatric samples across 14 countries. RESULTS: WHtR, WC, and BMI z-scores had similar performance in discriminating youths with ≥3 CMRFs, with the area under the curve (AUC) (95 % confidence interval, CI)) ranging from 0.77 (0.75-0.78) to 0.78 (0.76-0.80) using the modified National Cholesterol Education Program (NCEP) definition, and from 0.77 (0.74-0.79) to 0.77 (0.74-0.80) using the International Diabetes Federation (IDF) definition. Similarly, all three measures showed similar performance in discriminating youths with subclinical vascular outcomes, with AUC (95 % CI) ranging from 0.67 (0.64-0.71) to 0.70 (0.66-0.73) for high cIMT (≥P95 values) and from 0.60 (0.58-0.66) to 0.62 (0.58-0.66) for high PWV (≥P95 values). CONCLUSIONS: Our findings suggest that WHtR, WC, and BMI are equally effective in identifying at-risk youths across diverse pediatric populations worldwide. Given its simplicity and ease of use, WHtR could be a preferable option for quickly screening youths with increased cardiometabolic risk in clinical settings.
Subject(s)
Body Mass Index , Cardiometabolic Risk Factors , Cardiovascular Diseases , Waist Circumference , Waist-Height Ratio , Humans , Adolescent , Male , Child , Female , Cardiovascular Diseases/etiology , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Carotid Intima-Media Thickness , Prognosis , Follow-Up Studies , Pulse Wave Analysis , Phenotype , Vascular Stiffness , Risk FactorsABSTRACT
BACKGROUND: Cardiovascular diseases are the leading cause of death in the majority of developed and developing countries. African countries are currently facing an increase in both cardiovascular and transmitted diseases. In addition, cardiovascular risk varies among different socioeconomic groups. Thus, we determined the prevalence of modifiable cardiovascular risk factors in apparently healthy public-sector workers and investigated possible relationships with socioeconomic status. METHODS: We employed a cross-sectional study comprising 42.2% (n = 615) of the public-sector workers at Agostinho Neto University, 48% (n = 294) male and 52% (n= 321) female, with ages between 20 and 72 years and from various socioeconomic groups. The study was conducted from February 2009 to December 2010. Personal, anthropometric, biochemical, hemodynamic, socioeconomic, and physical activity data were collected. RESULTS: The prevalence rates of cardiovascular risk factors were as follows: hypertension, 45.2% (men 46.3%, women 44.2%, P > 0.05); hypercholesterolemia, 11.1% (men 10.5%, women 11.5%, P > 0.05); low high-density lipoprotein (HDL) cholesterol, 50.1% (men 36.9%, women 62.3%; P < 0.05); hypertriglyceridemia, 10.6% (men 12.6%, women 8.7%, P > 0.05); smoking, 7.2% (men 10.2%, women 4.4%; P < 0.05); diabetes, 5.7% (men 5.5%, women 5.9%, P > 0.05); overweight, 29.3% (men 27.3%, women 31.2%, P > 0.05); obesity, 19.6% (men 9.2%, women 29.0%; P < 0.05); sedentary lifestyle, 87.2% (men 83.0%, women 91,0%, P < 0.05); and left ventricular hypertrophy, 20% (men 32.0%, women 9.0%; P < 0.05). At least one risk factor was present in 27.7% of the sample; 15.2% had two risk factors, and 31.4% had three or more risk factors. Among the individuals with low socioeconomic status, 41.0% had three or more risk factors. CONCLUSIONS: The results of this study suggest the existence of a high prevalence of multiple risk factors for cardiovascular disease in apparently healthy public-sector workers in Angola. The workers in lower socioeconomic groups had higher incidences of hypertension, smoking, and left ventricular hypertrophy.