Suppr超能文献

男性下尿路症状初级保健管理临床决策支持工具的开发:PriMUS研究

Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study.

作者信息

Edwards Adrian, Agarwal Ridhi, Bates Janine, Bray Alison, Milosevic Sarah, Thomas-Jones Emma, Drinnan Michael, Drake Marcus, Michell Peter, Pell Bethan, Ahmed Haroon, Joseph-Williams Natalie, Hood Kerenza, Takwoingi Yemisi, Harding Chris

机构信息

Division of Population Medicine, Cardiff University, Cardiff, UK.

Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

出版信息

Health Technol Assess. 2025 Jan;29(1):1-140. doi: 10.3310/RGTW5711.

Abstract

BACKGROUND

Lower urinary tract symptoms particularly affect older men and their quality of life. General practitioners currently have no easily available assessment tools to diagnose lower urinary tract symptom causes. Referrals to urology specialists are increasing. General practitioner access to simple, accurate tests and clinical decision tools could facilitate management of lower urinary tract symptoms in primary care.

OBJECTIVES

To determine which of several index tests in combination, best predicted three diagnoses (detrusor overactivity, bladder outlet obstruction and/or detrusor underactivity) in men presenting with lower urinary tract symptoms in primary care. To develop and validate three diagnostic prediction models, and a prototype primary care clinical decision support tool.

DESIGN

Prospective diagnostic accuracy study. Two participant cohorts, for and , underwent simple index tests and a reference standard (invasive urodynamics).

SETTING

General practices in England and Wales.

PARTICIPANTS

Men (16 years and over) consulting their general practitioner with lower urinary tract symptoms.

SAMPLE SIZE

Separate calculations for model development and validation cohorts, from literature estimates of detrusor overactivity, bladder outlet obstruction and detrusor underactivity prevalences of 57%, 31% and 16%, respectively.

PREDICTORS AND INDEX TESTS

Twelve potential predictors considered for three diagnostic models.

MAIN OUTCOME MEASURES

The primary outcome was diagnostic model sensitivity and specificity for detecting bladder outlet obstruction, detrusor underactivity and detrusor overactivity, with 75.0% considered minimum clinically useful performance.

STATISTICAL ANALYSIS

Three separate logistic regression models generated with index test variables to predict the presence of bladder outlet obstruction, detrusor overactivity, detrusor underactivity conditions in men with lower urinary tract symptoms.

RESULTS

One model each was developed and validated for bladder outlet obstruction and detrusor underactivity, two for detrusor overactivity (detrusor overactivity main, detrusor overactivity sensitivity analysis 2). Age, voiding symptoms subscore, prostate-specific antigen level, median maximum flow rate, median voided volume were predictors for bladder outlet obstruction. Median maximum flow rate and post-void residual volume were predictors for detrusor underactivity. Age, post-void residual volume and median voided volume were included in detrusor overactivity main model, while age and storage symptoms subscore predicted detrusor overactivity sensitivity analysis 2. For all four models, sensitivity of 75.0% could be achieved with a specificity of 74.2%, 47.3%, 45.6% and 46.2% for bladder outlet obstruction, detrusor underactivity, detrusor overactivity main and detrusor overactivity sensitivity analysis 2 models, respectively. Similarly, a specificity of 75.0% could be achieved with a sensitivity of 71.3%, 39.8%, 33.3% and 62.7% for bladder outlet obstruction, detrusor underactivity, detrusor overactivity main and detrusor overactivity sensitivity analysis 2 models, respectively. The prototype tool (not yet intended for use in practice) is available at Primary care Management of lower Urinary tract Symptoms decision aid for lower urinary tract symptoms (shinyapps.io). General practitioner feedback during tool development and small-scale user-testing in simulated consultation scenarios was favourable. Patients supported such management in primary care.

STRENGTHS/LIMITATIONS: This was a prospective, multicentre study in an appropriate primary care population. Most of the index tests are possible routinely in primary care or at home by patients. The diagnostic models were validated in a separate cohort from the same population. Limitations include that target condition prevalences may differ in other populations.

CONCLUSION

We identified sensitivities and specificities of diagnostic models for detrusor overactivity, bladder outlet obstruction and detrusor underactivity in routine United Kingdom practice and developed a prototype clinical decision support tool.

FUTURE WORK

Economic modelling, a feasibility trial and powered randomised controlled trial are needed to evaluate the Primary care Management of lower Urinary tract Symptoms tool in practice.

STUDY REGISTRATION

Current Controlled Trials ISRCTN10327305.

FUNDING

This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 15/40/05) and is published in full in ; Vol. 29, No. 1. See the NIHR Funding and Awards website for further award information.

摘要

背景

下尿路症状对老年男性影响尤为明显,且会影响其生活质量。全科医生目前没有易于获取的评估工具来诊断下尿路症状的病因。转诊至泌尿外科专家的情况日益增多。全科医生若能使用简单、准确的检测方法和临床决策工具,将有助于在基层医疗中管理下尿路症状。

目的

确定几种指标检测方法联合使用时,哪种对基层医疗中出现下尿路症状的男性的三种诊断(逼尿肌过度活动、膀胱出口梗阻和/或逼尿肌活动不足)预测效果最佳。开发并验证三种诊断预测模型以及一个基层医疗临床决策支持工具原型。

设计

前瞻性诊断准确性研究。两个参与者队列,分别为队列1和队列2,接受了简单的指标检测和参考标准(侵入性尿动力学检查)。

地点

英格兰和威尔士的全科诊所。

参与者

因下尿路症状咨询全科医生的16岁及以上男性。

样本量

根据文献中对逼尿肌过度活动、膀胱出口梗阻和逼尿肌活动不足患病率分别为57%、31%和16%的估计,对模型开发队列和验证队列进行单独计算。

预测因素和指标检测

为三种诊断模型考虑了12个潜在预测因素。

主要结局指标

主要结局是诊断模型检测膀胱出口梗阻、逼尿肌活动不足和逼尿肌过度活动的敏感性和特异性,75.0%被视为最低临床有用性能。

统计分析

使用指标检测变量生成三个单独的逻辑回归模型,以预测下尿路症状男性中膀胱出口梗阻、逼尿肌过度活动、逼尿肌活动不足情况的存在。

结果

分别为膀胱出口梗阻和逼尿肌活动不足开发并验证了一个模型,为逼尿肌过度活动开发并验证了两个模型(逼尿肌过度活动主模型、逼尿肌过度活动敏感性分析2模型)。年龄、排尿症状子评分、前列腺特异性抗原水平、最大尿流率中位数、排尿量中位数是膀胱出口梗阻的预测因素。最大尿流率中位数和排尿后残余尿量是逼尿肌活动不足的预测因素。年龄、排尿后残余尿量和排尿量中位数纳入了逼尿肌过度活动主模型,而年龄和储尿症状子评分预测了逼尿肌过度活动敏感性分析2模型。对于所有四个模型,膀胱出口梗阻、逼尿肌活动不足、逼尿肌过度活动主模型和逼尿肌过度活动敏感性分析2模型分别在特异性为74.2%、47.3%、45.6%和46.2%时可实现75.0%的敏感性。同样,膀胱出口梗阻、逼尿肌活动不足、逼尿肌过度活动主模型和逼尿肌过度活动敏感性分析2模型分别在敏感性为71.3%、39.8%、33.3%和62.7%时可实现75.0%的特异性。原型工具(尚未打算用于实际应用)可在“下尿路症状基层医疗管理”决策辅助工具(shinyapps.io)获取。在工具开发过程中以及在模拟咨询场景中的小规模用户测试中,全科医生的反馈是积极的。患者支持基层医疗中的此类管理。

优势/局限性:这是一项针对合适的基层医疗人群的前瞻性多中心研究。大多数指标检测在基层医疗中或患者在家中常规情况下都可行。诊断模型在来自同一人群的单独队列中进行了验证。局限性包括其他人群中目标疾病的患病率可能不同。

结论

我们确定了英国常规实践中逼尿肌过度活动、膀胱出口梗阻和逼尿肌活动不足诊断模型的敏感性和特异性,并开发了一个临床决策支持工具原型。

未来工作

需要进行经济建模、可行性试验和有足够样本量的随机对照试验,以在实际应用中评估“下尿路症状基层医疗管理”工具。

研究注册

当前受控试验ISRCTN10327305。

资金

本研究由国家卫生与保健研究机构(NIHR)卫生技术评估计划资助(NIHR资助编号:15/40/05),并全文发表于《……》第29卷第1期。有关进一步的资助信息,请参阅NIHR资助与奖项网站。

相似文献

5

本文引用的文献

10
The changing practice of transurethral resection of the prostate.经尿道前列腺切除术的不断变化的实践。
Ann R Coll Surg Engl. 2018 Apr;100(4):326-329. doi: 10.1308/rcsann.2018.0054. Epub 2018 Mar 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验