Single-Point Insulin Sensitivity Estimator (SPISE) as a Feasible Marker of Insulin Resistance in Adult Metabolic Syndrome: Evaluated in a Hospital Based Cross-Sectional Pilot Study at Tertiary Care Centre of Uttarakhand.
Kamlesh RabariManisha NaithaniPriyanka PatraNikhil SonagaraParmila DudiBela GoyalSarama SahaAnissa Atif MirzaAnshuman DarbariPublished in: Indian journal of clinical biochemistry : IJCB (2021)
Insulin resistance (IR) plays an important role as a major determinant of Metabolic syndrome (MetS). Various methods are available for measuring insulin resistance but they are laborious, time-consuming, and costly. Therefore various surrogate markers and indices have been devised to simplify and improve the determination of insulin resistance. Recently, a new index, single point insulin sensitivity estimator (SPISE) was proposed in the European population and was found comparable to the gold standard test (hyperinsulinemic euglycemic glucose clamp).This study was planned to evaluate whether SPISE could be a useful potential low-cost indicator for predicting MetS with IR patients in Indian population. Eighty-three participants from outpatient care of AIIMS Rishikesh were evaluated after informed consent. They were divided into Metabolic syndrome (n = 56) and Non Metabolic Syndrome(n = 27), using South Asian Modified National Cholesterol Education Program- ATP-III criteria for metabolic syndrome. SPISE index, HOMA-IR, Insulin Resistance Index, Triglycerides to high-density lipoproteins cholesterol ratio (TG/HDL-C) were calculated for all the subjects. Receiver operating characteristic (ROC) curve was plotted to assess discriminatory ability of SPISE, HOMA-IR, TG/HDL-C ratio, IRI and hs-CRP to differentiate between IR(Metabolic syndrome) and non-IR (Non-Metabolic syndrome) subjects. SPISE has greater area under curve with better sensitivity and specificity compared to HOMA-IR, IRI, TG/HDL-C ratio and hs CRP. So, SPISE has better predictive ability than HOMA-IR, IRI, TG/HDL-C ratio and hs CRP to discriminate IR from non-IR cases. SPISE could be a useful potential low-cost indicator with high sensitivity and specificity for predicting IR in MetS patients.
Keyphrases
- metabolic syndrome
- insulin resistance
- low cost
- uric acid
- end stage renal disease
- high fat diet
- adipose tissue
- high density
- quality improvement
- cross sectional
- polycystic ovary syndrome
- cardiovascular risk factors
- chronic kidney disease
- healthcare
- skeletal muscle
- type diabetes
- high fat diet induced
- newly diagnosed
- peritoneal dialysis
- palliative care
- blood pressure
- patient reported outcomes
- health insurance
- climate change