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在患有2型糖尿病的成年人中,预测下尿路症状和细菌性尿路的预测模式

Keiji Sugai^1,2, Junko Sasaki^1,2, Yuki Wada^1,2

¹Department of General Internal Medicine, Toda Chuo General Hospital, 1-19-3 Honcho, Toda, Saitama 335-0023 Japan.

Diabetology international

|March 25, 2024

概括

这项研究确定了2型糖尿病患者泌尿系统问题的关键预测因素,发现年龄和胆固醇水平至关重要. 这些预测因子即使在引入-葡萄糖共载体2抑制剂 (SGLT2i) 后也保持一致.

科学领域:

泌尿器科泌尿器科泌尿器科泌尿器科
内分泌学在内分泌学.
糖尿病学糖尿病学

背景情况:

已确定的尿道并发症的风险因素在糖尿病前期的-葡萄糖共运输体2抑制剂 (SGLT2i) 的可用性.
这项研究调查了SGLT2i引入后2型糖尿病 (T2DM) 患者的泌尿功能特征.

研究的目的:

在SGLT2i成为可用的后,全面分析T2DM患者的泌尿病状况.
在T2DM患者中识别和验证下尿路症状 (LUTS),细菌性尿和症状性细菌性尿 (SB) 的预测因子.

主要方法:

检查了63名怀疑有细菌性尿的T2DM门诊患者.
通过问卷评估LUTS,通过尿液培养评估细菌尿,通过超声波评估空气后残留体积 (PVR).
采用随机森林算法来使用人口和实验室数据预测LUTS,细菌和SB.

主要成果:

高密度脂蛋白胆固醇和年龄分别是LUTS和细菌性尿的关键预测因素.
肌素和估计的膜过率对于预测SB.至关重要.
模型显示出高预测准确度 (AUC从0.770到0.938).
SGLT2i使用不是主要预测因素,但细菌性尿症患者的PVR和SB患病率较高.

结论:

随机森林模型确定了T2DM患者泌尿病状况的独特,一致的预测因素.
这些预测因素在SGLT2i的商业可用性之前和之后都保持显著.

关键词:

在这种情况下,细菌尿.糖尿病糖尿病糖尿病路特斯 (Luts) 是一个这就是SGLT2i.

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