Prediabetic patients evaluated with Quantose™ IR and their relationship with anthropometric measurements through bioelectrical impedance analysis
DOI:
https://doi.org/10.36105/psrua.2022v2n3.01Palabras clave:
prediabetes, Quantose-RI, bioimpedancia eléctrica, masa grasa, índice de masa grasa, imcResumen
Introduction: New metabolomic biomarkers as Quantose™ IR and anthropometric measurements using bioelectrical impedance analysis (BIA) provide relevant information on patients with insulin resistance and prediabetes. QuantoseTM IR is a novel metabolomic test to assess insulin resistance for screening and monitoring. Establishing a correlation between these variables is useful in clinical practice and, to our knowledge, there are no published studies that explore the relationship between Quantose™ IR and anthropometric measurements using BIA in patients with prediabetes. Objective: To evaluate the correlation between Quantose™ IR and BIA anthropometric variables (fat mass, FM; fat mass index, FMI; and body mass index, BMI) in Mexican patients with prediabetes, overweight, and obesity. Materials and Methods: This is an observational, transversal analytic study in 135 patients of both genders between 20 and 65 years of age, BMI 25.0–34.9, with diagnosis of prediabetes. The Quantose™ IR test was performed as well as anthropometric measurements (FM, FMI, and BMI) using BIA taken with Inbody 230TM. Pearson’s correlations and independent sample t-tests were estimated with a significance level of p < 0.05. Results: 135 patients were studied; 77% were female, aged 46 years in average. The prevalence of insulin resistance by Quantose™ IR was 71.1%. A positive correlation was confirmed between Quantose™ IR and FM, FMI, and BMI (p < 0.05). Patients with altered Quantose™ IR had higher FM, FMI, and BMI (p < 0.05). Conclusion: The data here presented confirm the existence of a positive and statistically significant correlation between Quantose™ IR and anthropometric measurements using BIA. This information may be useful for diagnosis and treatment in prediabetic, overweight, and obese patients.
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Derechos de autor 2022 Vanessa Mota-Sanhuaa, José Alberto Rojas Jiménez, Diana Martínez Castañeda, Alejandro Covarrubias-Cortés, Georgina Flores García, Sandra López Ríos, Adriana Reyes Camacho, José Antonio Jácome-Mondragón, Blanca Velázquez Hernández
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