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1000 例下尿路症状(LUTS)男性患者中新型视觉模拟尿流率评分(VAUS)的前瞻性验证。

Prospective validation of a novel visual analogue uroflowmetry score (VAUS) in 1000 men with lower urinary tract symptoms (LUTS).

机构信息

Department of Urology, Singapore General Hospital, Singapore, Singapore.

出版信息

World J Urol. 2020 May;38(5):1267-1273. doi: 10.1007/s00345-019-02909-1. Epub 2019 Aug 27.

Abstract

INTRODUCTION AND AIMS

Family physicians are limited by lack of tools to monitor benign prostate hyperplasia. VAUS provides a cost-effective, easily administered non-invasive tool. Our primary aim was to validate VAUS correlation with uroflowmetry measured maximal flow rate (Q), voided volume and International Prostate Symptom Scores (IPSS) symptom scores. Secondary aim was to study how the VAUS fared at predicting poor flow (Q < 10 ml/s) compared to age, voided volume and IPSS. Tertiary aim was to predict the best VAUS as a cutoff for poor flow.

METHODS

After IRB approval, 1000 patients were prospectively recruited. They had VAUS, uroflowmetry and IPSS performed. VAUS is a novel five-point visual analogue scoring of urine flow, with one being the weakest and five the strongest. Data were analysed using SPSS where spearman's correlation coefficient and logistic regression analysis were performed looking for significance. Receiver operating curves (ROC) curves were used to identify best VAUS cutoff.

RESULTS

1000 patients were studied with mean age of 68.99 (50-95). VAUS showed good correlation with Qp < 0.001, voided volume p = 0.006 and IPSS p <0.001. On multivariate analysis both VAUS and voided volume predicted poor flow significantly with p value of<0.001 and p =0.001, respectively. On ROC analysis VAUS of 2.5 was identified as best value for predicting poor flow with p value <0.001.

CONCLUSION

VAUS is a validated tool for monitoring of lower urinary tract symptoms in our patients showing significant correlation with uroflowmetry, voided volume and IPSS.

摘要

介绍和目的

家庭医生受到缺乏监测良性前列腺增生工具的限制。VAUS 提供了一种具有成本效益、易于管理的非侵入性工具。我们的主要目的是验证 VAUS 与尿流率测量的最大流量(Q)、排空量和国际前列腺症状评分(IPSS)症状评分的相关性。次要目的是研究 VAUS 在预测不良流量(Q < 10 ml/s)方面与年龄、排空量和 IPSS 的表现。 tertiary 目的是预测最佳 VAUS 作为不良流量的截止值。

方法

在 IRB 批准后,前瞻性招募了 1000 名患者。他们进行了 VAUS、尿流率和 IPSS 检查。VAUS 是一种新的五分制视觉模拟评分尿流,其中 1 分为最弱,5 分为最强。使用 SPSS 分析数据,进行 Spearman 相关系数和逻辑回归分析以寻找显著性。使用接收器操作曲线(ROC)曲线确定最佳 VAUS 截止值。

结果

研究了 1000 名平均年龄为 68.99 岁(50-95 岁)的患者。VAUS 与 Qp<0.001、排空量 p=0.006 和 IPSS p<0.001 均显示出良好的相关性。多变量分析显示,VAUS 和排空量均显著预测不良流量,p 值均<0.001 和 p=0.001。在 ROC 分析中,VAUS 为 2.5 被确定为预测不良流量的最佳值,p 值<0.001。

结论

VAUS 是一种经过验证的工具,可用于监测我们患者的下尿路症状,与尿流率、排空量和 IPSS 具有显著相关性。

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