CORRELATION BETWEEN HOMA2-IR AND HbA1c WITH ALGORITHMS BASED ON DISTINCT PHYSIOLOGIC MEASUREMENTS (ES COMPLEX SYSTEM)

ABSTRACT

Background: HOMA is a method for assessing β-cell function and insulin resistance (IR) from basal (fasting) glucose and insulin or C-peptide concentrations. These blood determinations are sometimes inconvenient for screening purposes, since they are time consuming. Other physiologic tests like: electrochemical acid-base assessment, arterial stiffness, autonomic nervous system level activity and body composition can be rapidly assessed with the use of electronic devices (Electro Sensor Model Complex System- ES Complex).


Correlation between HOMA2, HbA1c, and ES Complex System obtained from obese patients was evaluated in this study.

Methods: A group of 148 obese candidates to bariatric surgery was selected for the study.
Besides a complete physical examination, fasting glucose, Insulin, and HbA1c was determined. ESC-IR (ES Complex–Insulin Resistance) algorithm was calculated and compared to HOMA2-IR (HOMA-2-Insulin Resistance). Correlation between ESC-BGC (ES Complex -Blood Glucose Control) and HbA1c determination was also performed.

Results: A good correlation was obtained between both HbA1c/ESC-BCG (r=0.85)., and HOMA2- IR/ ESC-IR (r=0.84) . ESC diagnostic performance was also evaluated by using Receiver Operating Characteristics (ROC curves). For Metabolic Syndrome diagnosis the area under the curve obtained was 0.9413, and for Insulin Resistance 0.9022. 


A result higher than 3 obtained from ESC-BCG can predict treatment failures in diabetic patients. Also, patients with scores higher than 2.5 and 3, obtained from ESC-IR have a high probability of having metabolic syndrome and insulin resistance, respectively, as compared to HOMA2-IR.

Conclusion: The ES Complex System can be used as a screening method to predict Insulin Resistance, Metabolic Syndrome and Diabetes treatment failures, when performed in populations sharing the same characteristics. Additional studies have to be done to document this correlation in other groups of patients not investigated in this work, as healthy individuals, and non-obese diabetics.