采用Quantose™IR评估糖尿病前期患者,并通过生物电阻抗分析评估其与人体测量的关系

Vanessa Mota-Sanhuaa, José Alberto Rojas Jiménez, Diana Martínez Castañeda, Alejandro Covarrubias-Cortés, Georgina Flores García, Sandra López Ríos, Adriana Reyes Camacho, J. A. Jácome-Mondragón, Blanca Velázquez Hernández
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引用次数: 1

摘要

新的代谢组学生物标志物如Quantose™IR和使用生物电阻抗分析(BIA)的人体测量测量提供了胰岛素抵抗和前驱糖尿病患者的相关信息。QuantoseTM IR是一种新的代谢组学测试,用于评估胰岛素抵抗的筛查和监测。建立这些变量之间的相关性在临床实践中是有用的,据我们所知,尚无已发表的研究探讨Quantose™IR与糖尿病前期患者使用BIA进行人体测量之间的关系。目的:评价Quantose™IR与BIA人体测量变量(脂肪质量、FM;脂肪质量指数;和身体质量指数(BMI))在墨西哥患有前驱糖尿病、超重和肥胖的患者中。材料和方法:这是一项观察性的横向分析研究,纳入135例年龄在20 - 65岁之间,BMI为25.0-34.9,诊断为前驱糖尿病的男女患者。使用Inbody 230TM采集的BIA进行Quantose™IR测试和人体测量(FM、FMI和BMI)。Pearson相关和独立样本t检验均以p < 0.05的显著性水平进行估计。结果:135例患者纳入研究;77%为女性,平均年龄46岁。Quantose™IR的胰岛素抵抗患病率为71.1%。Quantose™IR与FM、FMI、BMI呈正相关(p < 0.05)。Quantose™IR改变的患者有更高的FM、FMI和BMI (p < 0.05)。结论:本文的数据证实了Quantose™IR与BIA人体测量值之间存在正相关且具有统计学意义。这些信息可能对糖尿病前期、超重和肥胖患者的诊断和治疗有用。
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Prediabetic patients evaluated with Quantose™ IR and their relationship with anthropometric measurements through bioelectrical impedance analysis
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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