Abstract
BACKGROUND: Various indices for estimating insulin sensitivity, based on glucose tolerance test
and fasting insulin levels, have been devised. However, they are laborious, time-consuming,
and costly. Recently, a new index, single point insulin sensitivity estimator (SPISE)
based on TG, high-density lipoproteins (HDL), and body mass index (BMI) was proposed
in the European population and was found comparable to gold standard test. Decreased
insulin sensitivity is a hallmark of metabolic syndrome (MetS). Hence, the current
study was planned to determine the optimal cutoff of SPISE with high sensitivity and
specificity in MetS patients of the North Indian population.
MATERIALS AND METHODS: A community-based cross-sectional study including 229 MetS cases and 248 controls
was conducted. MetS was defined according to the South Asian Modified National Cholesterol
Education Program criteria. SPISE index was calculated for cases and controls using
the formula devised by Paulmichl et al.: SPISE = 600 × HDL-C0.185/(TG0.2 × BMI1.338). Receiver operating characteristic (ROC) curve was plotted for determining optimal
cutoff for SPISE in MetS.
RESULTS: SPISE was significantly lower in MetS patients (5.35 ± 1.35) than that for controls
(7.45 ± 2) with P < 0.05 (confidence interval [CI]: 1.79—2.41). ROC curve showed area under the curve
= 0.83 for SPISE (P < 0.05, CI: 0.79—0.86), showing SPISE to have good predictive ability to discriminate
MetS cases from controls. The cutoff value of SPISE index for predicting insulin sensitivity
in MetS was found out to be 5.82 with sensitivity and specificity of 73% and 80%,
respectively. This cutoff is lower than the European population (6.61), indicating
higher insulin resistance (IR) in the study population.
CONCLUSION: SPISE could be a useful potential low-cost indicator with high sensitivity and specificity
for predicting IR in MetS.
Key words
Insulin resistance - metabolic syndrome - single point insulin sensitivity estimator
