尿U-HBP、NGAL、U-NIT对糖尿病合并无症状性菌尿患者的诊断及疗效预测价值
作者: |
1尹飞挺,
1张健,
2孙洪芹
1 中国人民解放军总医院第四医学中心肾脏病科,北京 100048 2 诸城市人民医院肾内科,山东 诸城 262200 |
通讯: |
孙洪芹
Email: supname@sohu.com |
DOI: | 10.3978/j.issn.2095-6959.2022.06.010 |
摘要
Diagnostic and therapeutic predictive value of urine U-HBP, NGAL, U-NIT in diabetic patients with asymptomatic bacteriuria
CorrespondingAuthor: SUN Hongqin Email: supname@sohu.com
DOI: 10.3978/j.issn.2095-6959.2022.06.010
Abstract
Objective: To investigate the role of urinary heparin-binding protein (U-HBP), the neutrophil gelatinase-associated lipocalin (NGAL), and the urinary nitrite (U-NIT) in the diagnosis of diabetes with asymptomatic bacteriuria (ABU) and its effect on curative effect. Methods: Ninety-eight patients with diabetes and ABU (ABU group), 98 patients with simple diabetes (diabetes group) and 90 healthy persons (control group) who were admitted to the Fourth Medical Center of Chinese PLA General Hospital and Zhucheng People’s Hospital from January 2017 to October 2020 were selected. The baseline data, positive rate of U-HBP, NGAL, and U-NIT were compared. Multiple logistic regression was used to analyze the related influencing factors of ABU, receiver operating characteristic curve (ROC) and area under the ROC curve (AUC) were used to analyze the diagnostic value of each index, and Spearman’s were used to analyze the correlation between each index and curative effect. Results: The positive rates of U-HBP, NGAL and U-NIT in the ABU group were higher than those in the diabetes group and the control group (P<0.05). Multivariate logistic regression analysis showed that the positive results of U-HBP, NGAL, and U-NIT were all related to ABU (P<0.05). U-HBP, NGAL, U-NIT positive diagnosis of ABU AUC were 0.837, 0.815, 0.877, and the combined diagnosis AUC reached 0.953. The U-HBP and NGAL level were higher in the invalid patients, then in the valid patients, the last were in the markedly effective patients; the positive rate of U-NIT in markedly effective patients is lower than that of effective and ineffective patients (P<0.05), there was no statistically significant difference in the positive rate of U-NIT between effective and ineffective patients (P>0.05); Spearman’s correlation analysis showed that U-HBP and NGAL were negatively correlated with the curative effect (P<0.05), and U-NIT was not correlated with the curative effect (P>0.05). Conclusion: U-HBP, NGAL, U-NIT can effectively diagnose diabetes with ABU, and have a certain predictive value for the therapeutic effect, and have guiding value for clinical diagnosis and treatment.