Validity assessment of the single-point insulin sensitivity estimator (spise) for diagnosis of cardiometabolic risk in post-pubertal hispanic adolescents.
Adolescent
Adolescent Development
Biomarkers
/ blood
Body Mass Index
Cardiometabolic Risk Factors
Chile
/ epidemiology
Cholesterol, HDL
/ blood
Cross-Sectional Studies
Data Accuracy
Female
Humans
Longitudinal Studies
Male
Mass Screening
/ methods
Metabolic Syndrome
/ blood
Puberty
ROC Curve
Sensitivity and Specificity
Triglycerides
/ blood
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
01 09 2020
01 09 2020
Historique:
received:
10
02
2020
accepted:
10
08
2020
entrez:
3
9
2020
pubmed:
3
9
2020
medline:
9
3
2021
Statut:
epublish
Résumé
Insulin measurements are not advised for cardiometabolic risk screening in large groups. Here we assessed the accuracy of the single-point insulin sensitivity estimator (SPISE) to diagnose cardiometabolic risk in Chilean adolescents. In 678 post-pubertal adolescents (52% males, M(SD) age = 16.8 (0.2) years), height, weight, waist circumference, blood lipids, glucose, insulin, and blood pressure were measured. BMI, HOMA-IR, and SPISE were estimated; HOMA-IR values ≥ 2.6 were considered insulin resistance (IR). Metabolic syndrome (MetS) was defined with the joint IDF/AHA/NHBLI standard. Using receiver operating characteristic curves, we obtained optimal SPISE cutpoints for IR and MetS diagnosis. The prevalence of MetS and IR was 8.2% and 17.1%, respectively. In males, the optimal cutoff for MetS diagnosis was 5.0 (sensitivity: 97%; specificity: 82%), and the optimal cutoff for IR diagnosis was 5.9 (sensitivity: 71%; specificity: 83%). In females, a SPISE of 6.0 had the highest sensitivity (90%) and specificity (74%) for MetS diagnosis. A SPISE of 6.4 was the optimal cutoff for IR diagnosis; however, sensitivity and specificity were 61% and 75%. In males and female post-pubertal adolescents, SPISE had a very good and good diagnostic performance, respectively, in predicting MetS. It was an accurate diagnostic tool for IR prediction in males, but not necessarily in females.
Identifiants
pubmed: 32873820
doi: 10.1038/s41598-020-71074-y
pii: 10.1038/s41598-020-71074-y
pmc: PMC7462984
doi:
Substances chimiques
Biomarkers
0
Cholesterol, HDL
0
Triglycerides
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
14399Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL088530
Pays : United States
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