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Dosimetry, clinical factors and medication intake influencing urinary symptoms after prostate radiotherapy: An analysis of data from the RADAR prostate radiotherapy trial

机译:剂量,临床因素和药物摄入影响前列腺放疗后的泌尿系统症状:RaDaR前列腺放射治疗试验数据分析

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摘要

Purpose/Objective: To identify dosimetry, clinical factors and medication intake impacting urinary symptoms after prostate radiotherapy.Material and Methods: Data describing clinical factors and bladder dosimetry (reduced with principal component (PC) analysis) for 754 patients treated with external beam radiotherapy accrued by TROG 03.04 RADAR prostate radiotherapy trial were available for analysis. Urinary symptoms (frequency, incontinence, dysuria and haematuria) were prospectively assessed using LENT-SOMA to a median of 72 months. The endpoints assessed were prevalence (grade≥1) at the end of radiotherapy (representing acute symptoms), at 18-, 36- and 54-month follow-ups (representing late symptoms) and peak late incidence including only grade≥2. Impact of factors were assessed using multivariate logistic regression models with correction for over-optimism.Results: Baseline symptoms, non-insulin dependent diabetes mellitus, age and PC1 (correlated to the mean dose) impact symptoms at u3e1 timepoints. Associations at a single timepoint were found for cerebrovascular condition, ECOG status and non-steroidal anti-inflammatory drug intake. Peak incidence analysis shows the impact of baseline, bowel and cerebrovascular condition and smoking status.Conclusions: The prevalence and incidence analysis provide a complementary view for urinary symptom prediction. Sustained impacts across time points were found for several factors while some associations were not repeated at different time points suggesting poorer or transient impact.
机译:目的/目的:识别影响前列腺癌放疗后泌尿症状的剂量学,临床因素和药物摄入。材料和方法:描述了754例接受外束放射治疗的患者的临床因素和膀胱剂量学(通过主成分(PC)分析降低)的数据由TROG 03.04提供RADAR前列腺放射治疗试验可用于分析。使用LENT-SOMA对尿路症状(频率,尿失禁,排尿困难和血尿)进行前瞻性评估,中位数为72个月。评估的终点为放射治疗结束时的患病率(≥1级)(代表急性症状),18、36和54个月的随访(代表晚期症状)以及晚期发病率峰值(仅≥2级)。结果使用:基线症状,非胰岛素依赖型糖尿病,年龄和PC1(与平均剂量相关)的影响症状在 u3e1时间点进行了评估。在单个时间点发现了与脑血管疾病,ECOG状态和非甾体类抗炎药摄入量相关的关联。峰值发病率分析显示了基线,肠和脑血管状况以及吸烟状况的影响。结论:患病率和发病率分析为尿液症状预测提供了补充视图。发现跨时间点的持续影响有几个因素,而在不同时间点未重复某些关联,表明影响较差或短暂。

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