首页> 外文期刊>European urology >Urinary symptoms and urodynamic findings in women with pelvic organ prolapse: is there a correlation? Results of an artificial neural network analysis.
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Urinary symptoms and urodynamic findings in women with pelvic organ prolapse: is there a correlation? Results of an artificial neural network analysis.

机译:盆腔器官脱垂妇女的泌尿症状和尿动力学检查结果:有相关性吗?人工神经网络分析的结果。

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BACKGROUND: International official guidelines recommend urodynamic (UDS) evaluation in patients with pelvic organ prolapse (POP). However, the real benefit of this examination is still the subject of heated and controversial debate. Therefore, we aimed to assess the correlation between urinary symptoms and UDS findings in women with POP through the implementation of a sophisticated computer-based technology in the outpatient workup. DESIGN, SETTING, AND PARTICIPANTS: A prospective cohort study was performed in a single, tertiary, urogynaecologic referral department, enrolling consecutive women seeking care for pelvic floor dysfunctions. INTERVENTION: Patients underwent clinical and urodynamic evaluation. Data regarding baseline characteristics, symptoms, anatomic, and urodynamic findings were gathered for each patient. Multiple linear regression (MLR) and artificial neural networks (ANNs) were performed to design predicting models. RESULTS AND LIMITATIONS: A total of 802 women with POP were included. POP quantification stages and baseline data poorly correlated to final UDS findings. Stress urinary incontinence and overactive bladder were both independently associated to each UDS diagnosis, including detrusor overactivity (DO), urodynamic stress incontinence (USI), and mixed urinary incontinence (USI plus DO). Receiver operating characteristic comparison confirmed that ANNs were more accurate than MLR in identifying predictors of UDS diagnosis, but none of these methods could successfully overcome UDS. Case-control studies are needed to confirm our findings. CONCLUSIONS: Despite the current debate based on the actual value of UDS in women with POP, even the implementation of ANN, a sophisticated computer-based technology, does not permit an accurate diagnosis just on the basis of symptoms or avoiding UDS. Therefore, in women with POP, especially if scheduled for surgery, UDS should be considered as mandatory, since misleading counselling could result in unpleasant unexpected events.
机译:背景:国际官方指南建议对盆腔器官脱垂(POP)患者进行尿动力学(UDS)评估。但是,这项考试的真正好处仍然是激烈而有争议的话题。因此,我们旨在通过在门诊检查中采用先进的基于计算机的技术来评估患有POP的女性的泌尿系统症状和UDS结果之间的相关性。设计,地点和参加者:前瞻性队列研究是在一个单一的第三级泌尿妇科转诊部门进行的,招募了寻求骨盆底功能障碍护理的连续女性。干预:对患者进行临床和尿动力学评估。为每位患者收集有关基线特征,症状,解剖学和尿动力学发现的数据。进行了多元线性回归(MLR)和人工神经网络(ANN),以设计预测模型。结果与限制:总共纳入802名患有POP的女性。 POP量化阶段和基线数据与最终UDS结果之间的相关性很差。压力性尿失禁和膀胱过度活动症均与每个UDS诊断独立相关,包括逼尿肌过度活动症(DO),尿动力学压力性尿失禁(USI)和混合性尿失禁(USI加DO)。接收器工作特性的比较证实,在识别UDS诊断的预测指标方面,人工神经网络比MLR更准确,但是这些方法都无法成功克服UDS。需要进行病例对照研究以证实我们的发现。结论:尽管当前基于UDS在POP妇女中的实际价值的争论,但是即使实施ANN,一种基于计算机的先进技术,也不能仅基于症状或避免UDS进行准确的诊断。因此,对于患有POP的女性,尤其是计划进行手术的女性,应将UDS视为强制性的,因为误导性咨询可能会导致令人不快的意外事件。

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