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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\u2009=\u200916.8 (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\u2009\u2265\u20092.6 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.<\/jats:p>","DOI":"10.1038\/s41598-020-71074-y","type":"journal-article","created":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T06:02:31Z","timestamp":1598940151000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Validity assessment of the single-point insulin sensitivity estimator (spise) for diagnosis of cardiometabolic risk in post-pubertal hispanic adolescents"],"prefix":"10.1038","volume":"10","author":[{"given":"Paulina","family":"Correa-Burrows","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Estela","family":"Blanco","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheila","family":"Gahagan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raquel","family":"Burrows","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,9,1]]},"reference":[{"key":"71074_CR1","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1097\/MPG.0b013e3181f853f9","volume":"51","author":"ML Marcovecchio","year":"2010","unstructured":"Marcovecchio, M. L., Mohn, A. & Chiarelli, F. Obesity and insulin resistance in children. J. Pediatr. Gastroenterol. Nutr. 51, 149\u2013150 (2010).","journal-title":"J. Pediatr. Gastroenterol. Nutr."},{"key":"71074_CR2","doi-asserted-by":"publisher","first-page":"342","DOI":"10.3389\/fendo.2019.00342","volume":"10","author":"VM Tagi","year":"2019","unstructured":"Tagi, V. M. & Chiarelli, F. Insulin resistance in children. Front Endocrinol. 10, 342 (2019).","journal-title":"Front Endocrinol."},{"key":"71074_CR3","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1111\/j.2047-6310.2013.00202.x","volume":"10","author":"B Tobisch","year":"2015","unstructured":"Tobisch, B., Blatniczky, L. & Barkai, L. Cardiometabolic risk factors and insulin resistance in obese children and adolescents: relation to puberty. Pediatr. Obes. 10, 37\u201344 (2015).","journal-title":"Pediatr. Obes."},{"key":"71074_CR4","unstructured":"Encuesta Nacional de Salud 2016\u20132017. Departamento de Epidemiolog\u00eda. 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