生物阻抗分析评估的相位角与2型糖尿病肾病和周围神经病变密切相关。

IF 1.8 Q2 MEDICINE, GENERAL & INTERNAL
JMA journal Pub Date : 2025-07-15 Epub Date: 2025-06-27 DOI:10.31662/jmaj.2025-0071
Hiroyuki Ito, Sayuri Miura, Toshiko Mori, Shun Miura, Chiaki I, Suzuko Matsumoto, Hideyuki Inoue, Shinichi Antoku, Tomoko Yamasaki, Michiko Togane, Moka Sugahara, Chizuko Yukawa
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引用次数: 0

摘要

通过生物阻抗分析(BIA)计算的相位角(PhA)是骨骼肌质量和细胞完整性的度量。本研究旨在探讨PhA与2型糖尿病患者糖尿病微血管病变的关系。方法:我们对556例日本成年2型糖尿病门诊患者进行了横断面分析,这些患者使用BIA进行了身体成分评估。临床特征,包括糖尿病微血管病变(视网膜病变、肾病和神经病变),评估其与PhA的关系。此外,在接受第二次BIA评估的23例患者中,我们纵向检查了PhA和糖化血红蛋白(HbA1c)水平变化之间的关系。统计方法包括Wilcoxon’s sign -rank检验、回归分析和趋势检验。结果:糖尿病微血管病变患者PhA明显低于非糖尿病微血管病变患者。它与骨骼肌质量指数(SMI)呈正相关,与细胞外水与全身水比呈负相关。多元回归分析显示,性别、年龄、肾病、周围神经病变、血红蛋白、血清白蛋白和低密度脂蛋白胆固醇水平是PhA的显著解释变量。在纵向分析中,HbA1c水平的变化与PhA的变化呈显著负相关,而HbA1c的变化与SMI的变化没有相关性。结论:PhA与年龄、营养不良和糖尿病微血管并发症显著相关,并可能为2型糖尿病患者的肌肉和组织健康提供见解。需要进一步的研究来检查因果关系,并探索潜在的干预措施,以保持糖尿病患者的肌肉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Phase Angle Evaluated by a Bioimpedance Analysis Is Closely Related to Diabetic Nephropathy and Peripheral Neuropathy in Patients with Type 2 Diabetes.

Phase Angle Evaluated by a Bioimpedance Analysis Is Closely Related to Diabetic Nephropathy and Peripheral Neuropathy in Patients with Type 2 Diabetes.

Phase Angle Evaluated by a Bioimpedance Analysis Is Closely Related to Diabetic Nephropathy and Peripheral Neuropathy in Patients with Type 2 Diabetes.

Phase Angle Evaluated by a Bioimpedance Analysis Is Closely Related to Diabetic Nephropathy and Peripheral Neuropathy in Patients with Type 2 Diabetes.

Introduction: The phase angle (PhA), calculated through bioimpedance analysis (BIA), is a measure of skeletal muscle quality and cellular integrity. This study aimed to explore the relationship between PhA and diabetic microangiopathy in patients with type 2 diabetes.

Methods: We conducted a cross-sectional analysis of 556 adult Japanese outpatients with type 2 diabetes who underwent body composition evaluation using BIA. Clinical characteristics, including diabetic microangiopathy (retinopathy, nephropathy, and neuropathy), were assessed for their association with PhA. Furthermore, in 23 patients who underwent a second BIA assessment, we examined the relationship between changes in PhA and glycated hemoglobin (HbA1c) levels longitudinally. Statistical methods employed included Wilcoxon's signed-rank test, regression analyses, and trend tests.

Results: PhA was significantly lower in patients with diabetic microangiopathy compared to those without it. It was positively correlated with the skeletal muscle mass index (SMI) and negatively correlated with the extracellular water-to-total body water ratio. Multiple regression analysis revealed that sex, age, nephropathy, peripheral neuropathy, hemoglobin, serum albumin, and low-density lipoprotein cholesterol levels were significant explanatory variables for PhA. In the longitudinal analysis, changes in HbA1c levels showed a significant negative correlation with changes in PhA, however, no association was observed between changes in HbA1c and changes in SMI.

Conclusions: PhA is significantly associated with age, malnutrition, and diabetic microvascular complications, and may provide insights into muscle and tissue health in patients with type 2 diabetes. Further research is required to examine causal relationships and explore potential interventions to preserve muscle quality in diabetic patients.

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