Dataset Information

Accuracy of insulin resistance indices for metabolic syndrome: a cross-sectional study in adults.

ABSTRACT:

Background

This study aimed to determine the ability of commonly used insulin resistance indices to identify the metabolic syndrome.

Methods

183 people referred for outpatient care at the Metabolism Unit of Hospital de Clínicas de Porto Alegre were evaluated with anthropometric, blood pressure, lipid profile, and adiponectin measurements. Glucose tolerance status was determined by 2-h 75-g oral glucose tolerance test and glycosylated hemoglobin. Definition of metabolic syndrome was based on the Joint Interim Statement of different medical associations. Twenty-one indices of insulin resistance were estimated from published equations. The accuracy of these indices was determined by area under the ROC curve (AUC) analysis. In addition, we determined an optimal cut point for each index and its performance as a diagnostic test.

Results

The study population was comprised of 183 people (73.2% women; 78.7% white; age 52.6 ± 12.0 years, mean ± standard deviation), of whom 140 (76.5%) had metabolic syndrome. The reciprocal of the Gutt index provided the greatest AUC for identification of metabolic syndrome, but there were no statistical differences between Gutt and 11 AUC indices. Gutt presented 86.4% sensitivity and 76.7% specificity to identify metabolic syndrome.

Conclusions

A number of commonly employed indices of insulin resistance are capable of identifying individuals with the metabolic syndrome.

SUBMITTER: Antoniolli LP

PROVIDER: S-EPMC6102896 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Accuracy of insulin resistance indices for metabolic syndrome: a cross-sectional study in adults.

Antoniolli Luciana Pavan LP Nedel Bárbara Limberger BL Pazinato Tassia Cividanes TC de Andrade Mesquita Leonardo L Gerchman Fernando F

Diabetology & metabolic syndrome 20180820

<h4>Background</h4>This study aimed to determine the ability of commonly used insulin resistance indices to identify the metabolic syndrome.<h4>Methods</h4>183 people referred for outpatient care at the Metabolism Unit of Hospital de Clínicas de Porto Alegre were evaluated with anthropometric, blood pressure, lipid profile, and adiponectin measurements. Glucose tolerance status was determined by 2-h 75-g oral glucose tolerance test and glycosylated hemoglobin. Definition of metabolic syndrome wa ...[more]

PMID: 30151057

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Project description:BackgroundEpidemiological studies support an association between obesity, metabolic syndrome (MetS), and periodontitis. Still, understanding of the effects of low-grade inflammation in obese subjects on periodontitis and influence of MetS remains incomplete. The aims of this cross-sectional study were to explore the association between obesity related variables and periodontitis, and assess if MetS is a risk indicator for periodontitis in a sample of obese adults.MethodsThe study sample comprised 52 adults with a body mass index (BMI) of ≥ 30 kg/m2 referred for obesity therapy at the Obesity Centre at Haukeland University Hospital (HUH), Bergen, Norway. The subjects had prior to enrolment completed a 5-month lifestyle intervention course as part of a 2-year managing program. According to the revised National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) classification of MetS, 38 subjects were recruited to the MetS group and 14 subjects to the non-MetS group. Medical data including peripheral blood samples were obtained from records at HUH at the time of enrolment. Probing depth, clinical attachment level, tooth mobility, furcation involvement, bleeding on probing (BoP) were recorded and intraoral bitewings evaluated at a full-mouth periodontal examination. Associations between risk variables for obesity/MetS and periodontitis were explored using linear and logistic regression models.ResultsIn the present sample 79% of the subjects were diagnosed with periodontitis. The prevalence of stage III/IV periodontitis was 42.9% in the non-MetS group vs. 36.8% in the MetS group (p = 0.200). In the non-MetS group 29.8% of the sites displayed BoP vs. 23.5% in the MetS group (p = 0.048). For stage III/IV periodontitis, the effect of age appeared to be significant for obesity related variables and MetS (p = 0.006, p = 0.002, respectively). None of the other analyses showed significant association with the outcome variables.ConclusionIn the present sample of obese subjects, periodontitis occurred independently of MetS. Reaching a certain BMI level, suggested association between MetS and periodontitis might be non-significant due to the dominating impact of obesity related variables undermining the effect of other systemic factors.Trial registrationThe principal clinical trial, entitled "Obesity and Oral Diseases", was prospectively registered in ClinicalTrials.gov with registration NCT04602572 (20.10.2020).

Dataset Information

Accuracy of insulin resistance indices for metabolic syndrome: a cross-sectional study in adults.

Background

Methods

Results

Conclusions

Publications

Accuracy of insulin resistance indices for metabolic syndrome: a cross-sectional study in adults.

Similar Datasets

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