Although SPISE index was recently introduced as an indicator of insulin resistance (IR), its predictive ability for MetS by race/ethnicity has not been tested. Here, we aimed to: 1) examine racial/ethnic differences in SPISE index among US adults, and 2) compare predictive power of SPISE index for MetS by race/ethnicity and against other well-known IR indices (TG/HDL-C, TyG index, HOMA-IR, and 1/Insulin). A total of 2,168 adults (814 white [W], 690 black [B], and 664 Hispanic [H]) from NHANES 2017-March 2020 was analyzed in this study. MetS was defined by the AHA/NCEP criteria. SPISE index and IR indices were calculated by using physical and cardiometabolic parameters (Image). SPISE index was lowested in H, followed by B and W, with no difference between W vs. B (Image). The area under the curve of receiver operating characteristics of SPISE index for predicting MetS was highested in W (88%), followed by H (86%) and B (82%) (P<0.05 vs. B), with optimal cutoffs of 5.03, 4.84, and 4.89, respectively. In the total cohort, the predictive power of SPISE index for MetS was 85%, higher than the other IR indices (Image; all P<0.05). SPISE index outperforms various IR indices for predicting MetS in US adults, signifying its potential in large-scale observational studies. Race/ethnicity should be stratified when using SPISE index as its predictive power and cutoffs for predicting MetS vary by race/ethnicity.
W. Cho: None. J. Rosenberg: None. J. Kim: None.
