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首页> 外文期刊>BJU international >Examining lower urinary tract symptom constellations using cluster analysis.
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Examining lower urinary tract symptom constellations using cluster analysis.

机译：使用聚类分析检查下尿路症状星座。

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OBJECTIVE: To gain a better understanding of how patients experience lower urinary tract symptoms (LUTS) and to determine whether particular symptoms cluster together, as LUTS seldom occur alone. SUBJECTS AND METHODS: A secondary analysis of a cross-sectional, population-based survey of adults in Sweden, Italy, Germany, UK and Canada was undertaken to examine the presence of LUTS groups. Of the 19,165 telephone surveys, 13,519 respondents reported at least one LUTS and were included in the analysis. All respondents were asked about the presence of 14 LUTS (International Prostate Symptom Score plus seven additional LUTS). K-means cluster analyses, a statistical method for sorting objects into groups so that similar objects are grouped together, was used to identify groups of people based on their symptoms. Men and women were analysed separately. A split-half random sample was selected from the dataset so that exploratory analyses could be conducted in one half and confirmed in the second. On model confirmation, the sample was analysed in its entirety. RESULTS: Included in this analysis were 5014 men (mean age 49.8 years; 95% white) and 8505 women (mean age 50.4 years; 96% white). Among both men and women, six distinct symptom cluster groups were identified and the symptom patterns of each cluster were examined. For both, the largest cluster consisted of respondents with minimal symptoms (i.e. reporting essentially one symptom), 56% of men and 57% of women. The remaining five clusters for men and women were labelled based on their predominant symptoms. For men, the clusters were nocturia of twice or more per night (12%); terminal dribble (11%); urgency (10%); multiple symptoms (9%); and postvoid incontinence (5%). For women, the clusters were nocturia of twice or more per night (12%); terminal dribble (10%); urgency (8%); stress incontinence (8%); and multiple symptoms (5%). The multiple-symptom groups had several and varied LUTS, were older, and had more comorbidities. Clusters of terminal dribble and male postvoid incontinence had a lower prevalence of all other LUTS, but were fairly common (11% and 5% of men). CONCLUSIONS: This analysis provides an empirical approach to examining the presentation of multiple LUTS and suggests it is possible to identify subgroups of patients with LUTS based on their symptom presentation. These analyses need to be replicated to evaluate the clinical relevance of these findings.
机译：目的：更好地了解患者如何经历下尿路症状（LUTS），并确定特定的症状是否聚集在一起（因为LUTS很少单独发生）。研究对象和方法：对瑞典，意大利，德国，英国和加拿大的成年人进行了一项以人口为基础的横断面调查的二次分析，以检查LUTS组的存在。在19,165项电话调查中，有13,519名受访者报告了至少一项LUTS，并被纳入分析。所有受访者都被问到是否存在14种LUTS（国际前列腺症状评分加7种LUTS）。 K-means聚类分析是一种用于将对象分为几类，以便将相似的对象分组在一起的统计方法，用于根据人群的症状识别人群。男性和女性分别进行了分析。从数据集中选择了一半的随机样本，以便可以在一半中进行探索性分析，而在另一半中进行确认。在模型确认后，将对样本进行整体分析。结果：该分析包括5014名男性（平均年龄49.8岁; 95％白人）和8505名女性（平均年龄50.4岁; 96％白人）。在男女中，确定了六个不同的症状群组，并检查了每个症状群的症状模式。对于这两种人来说，最大的人群是症状最轻的受访者（即基本上报告一种症状），男性的56％和女性的57％。其余五个男性和女性聚类是根据其主要症状进行标记的。对于男性，这些簇是夜尿症，每晚两次或两次以上（12％）;末位运球（11％）;紧急程度（10％）;多种症状（9％）;避免尿失禁（5％）。对女性而言，夜尿症是每晚两次或两次以上的夜尿症（12％）;最终运球（10％）;紧急程度（8％）;压力性尿失禁（8％）;和多种症状（5％）。多症状组有几种不同的LUTS，年龄较大，合并症更多。在所有其他LUTS中，末期运球和男性排尿后尿失禁的患病率较低，但相当普遍（男性的11％和5％）。结论：该分析为检查多种LUTS表现提供了一种经验方法，并暗示有可能根据其症状表现来识别LUTS患者的亚组。这些分析需要重复以评估这些发现的临床相关性。

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