scholarly journals High-sensitivity C-reactive protein to detect metabolic syndrome in a centrally obese population: a cross-sectional analysis

2012 ◽  
Vol 11 (1) ◽  
pp. 25 ◽  
Author(s):  
Corine den Engelsen ◽  
Paula S Koekkoek ◽  
Kees J Gorter ◽  
Maureen van den Donk ◽  
Philippe L Salome ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
High Sensitivity ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Reactive Protein ◽  
Cross Sectional Analysis ◽  
Obese Population ◽  
Sectional Analysis

scholarly journals Comparison of Lipoprotein-Associated Phospholipase A2 and High Sensitive C-Reactive Protein as Determinants of Metabolic Syndrome in Subjects without Coronary Heart Disease: In Search of the Best Predictor

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Mónica Acevedo ◽  
Paola Varleta ◽  
Verónica Kramer ◽  
Giovanna Valentino ◽  
Teresa Quiroga ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Phospholipase A2 ◽  
High Sensitivity ◽  
Roc Curves ◽  
Activity Levels ◽  
Pla2 Activity ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Reactive Protein ◽  
Cv Disease

High sensitivity C-reactive protein (hsCRP) is a marker of metabolic syndrome (MS) and cardiovascular (CV) disease. Lipoprotein-associated phospholipase A2 (Lp-PLA2) also predicts CV disease. There are no reports comparing these markers as predictors of MS.Methods. Cross-sectional study comparing Lp-PLA2 and hsCRP as predictors of MS in asymptomatic subjects was carried out; 152 subjects without known atherosclerosis participated. Data were collected on demographics, cardiovascular risk factors, anthropometric and biochemical measurements, and hsCRP and Lp-PLA2 activity levels. A logistic regression analysis was performed with each biomarker and receiver operating characteristic (ROC) curves were constructed for MS.Results. Mean age was 46 ± 11 years, and 38% of the subjects had MS. Mean Lp-PLA2 activity was 185 ± 48 nmol/mL/min, and mean hsCRP was 2.1 ± 2.2 mg/L. Subjects with MS had significantly higher levels of Lp-PLA2 (P=0.03) and hsCRP (P<0.0001) than those without MS. ROC curves showed that both markers predicted MS.Conclusion. Lp-PLA2 and hsCRP are elevated in subjects with MS. Both biomarkers were independent and significant predictors for MS, emphasizing the role of inflammation in MS. Further research is necessary to determine if inflammation predicts a higher risk for CV events in MS subjects.

scholarly journals MON-099 The Association Between C-Reactive Protein, Metabolic Syndrome, and Pre-Diabetes in Korean Children and Adolescents

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Jihyun Kim ◽  
Jong Bin Lee ◽  
Jung Sub Lim
Keyword(s):  
Metabolic Syndrome ◽  
Children And Adolescents ◽  
Geometric Mean ◽  
High Sensitivity ◽  
Low Grade ◽  
C Reactive Protein ◽  
Hscrp Level ◽  
Cross Sectional ◽  
Korean Children ◽  
Reactive Protein

Abstract Objective: Cardiovascular disease (CVD) is a leading cause of death worldwide, including in Korea. In adults, the risk for CVD is increased approximately three-fold in subjects with metabolic syndrome (MetS), and the hazard ratio for subjects with MetS has been reported as 1.37 for mortality from CVD after adjustment for other confounders. Furthermore, MetS in childhood predicts adult MetS and T2DM 25 to 30 years later. Because MetS is a state of chronic low-grade inflammation, measurements of the circulating levels of the inflammatory molecules might provide diagnostic and therapeutic approaches to modulate or alter disease progression. High sensitivity C-reactive protein (hsCRP), a biomarker of inflammation, has emerged as an independent predictor of CVD and T2DM development. The aim of this paper is to evaluate the association between hsCRP and MetS and its components in Korean children and adolescents. Methods: We performed a cross-sectional analysis using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2016–2017. We analyzed the data of 1,247 subjects (633 males, 14.2 ± 2.7 years) from the KNHANES 2016–2017. MetS were defined by the modified NCEP-ATP III criteria. Results: Among the 1,247 subjects (mean age: 14.2 ± 2.7 years), the prevalence of MetS was 5.8% (7.0% in male subjects and 4.6% in female subjects; p = 0.070). The mean hsCRP level was 0.861 ± 1.567 mg/l (median and interquartile range: 0.370 and 0.430mg/l). Subjects with MetS had higher hsCRP levels than subjects without MetS (geometric mean: 1.08 vs. 0.46 mg/l, p &lt; 0.001). The prevalence of MetS in the lowest, second, third, and highest hsCRP quartiles were 1.8%, 2.4%, 3.5%, and 15.2%, respectively. Compared to the lowest quartile, the odds ratio (OR) for having MetS in the highest quartile was 8.414 (3.272–21.638), adjusting for age and sex. The OR for having abdominal obesity and low HDL-C in the highest quartile were 9.657 (4.818–19.355) and 2.408 (1.286–4.510), adjusting for age, sex, and other components of the MetS. Additionally, the OR for having pre-diabetes (HbA1c ≥ 5.7%) in the highest quartile was 2.061 (1.097–3.870). Conclusion: Serum hsCRP level is positively associated with MetS and pre-diabetes in Korean children and adolescents.

Adiponectin, leptin and high sensitivity C-reactive protein values in obese children – important markers for metabolic syndrome?

2019 ◽  
Vol 32 (1) ◽  
pp. 27-31 ◽  
Author(s):  
Ramona F. Stroescu ◽  
Otilia Mărginean ◽  
Teofana Bizerea ◽  
Mihai Gafencu ◽  
Adrian Voicu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Pediatric Population ◽  
High Sensitivity ◽  
Inflammatory Disorder ◽  
Obese Children ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Chronic Inflammatory Disorder ◽  
Reactive Protein ◽  
Hs Crp

Abstract Background Obesity is a chronic inflammatory disorder in which leptin, adiponectin and C-reactive protein (CRP) play an important role. This study aimed to investigate the relationship between markers of adiposity such as leptin, adiponectin and high sensitivity C-reactive protein (hs-CRP) in obese children, and to determine whether these adipokines are significant markers in defining metabolic syndrome (MetS) in pediatric population. Methods A cross-sectional study was conducted over a period of 1 year, between July 2013 and June 2014, on 122 cases of obesity in children diagnosed at the Louis Ţurcanu Emergency Hospital for Children Timişoara, in the departments of Diabetes and Nutritional Diseases, Endocrinology and Cardiology. The patients were divided into two groups, according to the presence of MetS. Results MetS was present in 27% of obese children. The groups were homogenous with respect to age, sex and body mass index (BMI). Adiponectin, leptin and hs-CRP were significantly modified in the group with MetS (p=0.04, p=0.04, p=0.01, respectively). Conclusions hs-CRP, leptin and adiponectin can be used as predictors of cardiovascular risk in pediatric population.

scholarly journals Association of high sensitivity C-reactive protein concentrations and metabolic syndrome among Thai adults

2010 ◽  
Vol 4 (3) ◽  
pp. 385-393 ◽  
Author(s):  
Andrew J. Hillman ◽  
Vitool Lohsoonthorn ◽  
Orrawadee Hanvivatvong ◽  
Wiroj Jiamjarasrangsi
Keyword(s):  
Metabolic Syndrome ◽  
Rank Correlation ◽  
Correlation Coefficients ◽  
High Sensitivity ◽  
Fasting Insulin ◽  
Limited Information ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Reactive Protein ◽  
Increased Risk

Abstract Background: Limited information is available regarding associations of metabolic syndrome with C-reactive protein (CRP) concentrations among Asian populations. Objective: Investigate the association of high sensitivity CRP (hsCRP) concentrations and metabolic syndrome among Thai adults. Methods: This cross-sectional study was comprised of 467 Thai participants (209 men and 258 women) receiving annual health check-up. Spearman’s rank correlation coefficients were used to assess the associations between metabolic parameters (age, waist circumference, blood pressure, triglycerides, HDL-C, fasting plasma glucose, fasting insulin and uric acid) with hsCRP concentrations for men and women, respectively. Multivariable logistic regression procedures were used to estimate the risk (odds ratios (OR), and 95% confidence intervals (CI) of metabolic syndrome according to low, moderate, and high hsCRP concentrations (<1.0, 1.0-3.0, and >3.0 mg/L, respectively). Results: Measures of adiposity and fasting insulin were positively and significantly correlated with hsCRP concentrations among women with and without metabolic syndrome. Similar associations were observed among men without metabolic syndrome. After controlling for confounders, moderately elevated hsCRP concentrations were associated with a 2.38-fold increased risk of metabolic syndrome (OR=2.38, 95%CI=1.20-4.72) among men. Men with high hsCRP concentrations had a 5.45-fold increased risk of metabolic syndrome (OR=5.45, 95%CI=2.24- 13.27) when compared with those who had low hsCRP concentrations. The corresponding OR for women with moderately elevated and high hsCRP concentrations were 4.92 (OR=4.92, 95%CI=2.34-10.35) and 11.93 (OR=11.93, 95%CI=5.54-25.72), respectively. Conclusions: These findings are consistent with the literature suggesting a role of hsCRP as a biomarker for metabolic syndrome.

Association between the FINDRISC score and the risk of metabolic syndrome and hepatic steatosis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
D Godoi Bernardes Da Silva ◽  
R Dias Santos ◽  
M Sommer Bittencourt ◽  
J.A.M Carvalho ◽  
M Franken ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Hepatic Steatosis ◽  
Longitudinal Analysis ◽  
Metabolic Diseases ◽  
Low Cost ◽  
Cross Sectional ◽  
Predictive Values ◽  
Cross Sectional Analysis ◽  
The Cross ◽  
Sectional Analysis

Abstract Introduction The Finnish Diabetes Risk Score (FINDRISC) was developed in Europe to predict type 2 diabetes mellitus (T2DM) risk without need of laboratory tests. Small cross-sectional studies analyzed the association between RF with metabolic syndrome (MS) or hepatic steatosis (HS). Our objective was to test the association of FINDRISC with MS or HS, in a transversal and longitudinal way. Methods In 41,668 individuals (age 41.9±9.7 years; 30.8% women) who underwent health evaluation between 2008 and 2016 in a single centre in Brazil, we tested the transversal association between FINDRISC and MS or HS, in multivariate models. The same analyzes were performed longitudinally in non-diabetic subgroups, followed for 5±3 years, to test the predictive value of FINDRISC and the incidental risk of MS (n=10,075 individuals) or HS (n=7,097 individuals), using logistic regression. Models were adjusted for confounders such as sex, use of medications for dyslipidemia, smoking, and baseline plasma levels of glucose, creatinine and lipids. A receiver operating characteristic (ROC) curve was used to evaluate the discriminative and predictive values of FINDRISC for MS and HS. Results In the cross-sectional analysis, 2,252 (5%) individuals had MS and 14,176 (34%) HS. In the longitudinal analysis, there were 302 cases of incidental MS (2%) and 1,096 cases of HS (15%). FINDRISC was independently associated with MS and HS in the cross-sectional analysis (respectively, OR 1.27, 95% CI: 1.25–1.28, P&lt;0.001; and OR 1.21, 95% CI: 1.20–1.22, P&lt;0.001, per FINDRISC unit) and in longitudinal analysis (respectively, OR of 1.18, 95% CI: 1.15–1.21, P&lt;0.001; and OR of 1.10, 95% CI: 1.08–1.11, P&lt;0.001, per FINDRISC unit). In comparison with individuals with low FINDRISC, those with moderate, high and very high values showed significant and proportional increases of the 12 to 77 fold in the chance of current SM (P&lt;0.001) and 3 to 10 fold in the chance of HS (P&lt;0.001). During follow-up, these increases were 3 to 10 fold in the chance of incidental MS (P&lt;0.001) and 1 to 3 fold in the chance of HS (P&lt;0.001). The AUC from cross-sectional analysis for MS and HS were respectively 0.82 (95% CI 0.81–0.83) and 0.76 (95% CI 0.75–0.76), and in longitudinal analysis 0.73 (95% CI 0.70–0.76) and 0.63 (95% CI 0.61–0.65), respectively. Conclusion FINDRISC was associated with the presence and onset of MS and HS, but it predicted better metabolic syndrome risk than hepatic steatosis. Therefore, this simple, practical and low-cost score can be useful for population screening and identification of subgroups of individuals at higher risk future metabolic diseases. Funding Acknowledgement Type of funding source: None

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