首页> 外文期刊>Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology >Big data analysis of associations between patient reported outcomes, observer reported toxicities, and overall quality of life in head and neck cancer patients treated with radiation therapy
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Big data analysis of associations between patient reported outcomes, observer reported toxicities, and overall quality of life in head and neck cancer patients treated with radiation therapy

机译:患者之间的缔约方的大数据分析报告的结果,观察者报告的毒性,头部和颈部癌症患者的整体生活质量和放射治疗

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Purpose: To assess associations between a variety of patient-reported outcomes (PROs), observer reported toxicities (ORTs), and patient-reported overall quality of life (QOL) for head and neck cancer patients treated with radiotherapy, in order to identify important items for inclusion in prospective patient reporting in the clinic. Methods: 612 patients completed 27 PRO items from three questionnaires at 1273 follow-up visits, and clinicians provided ORTs according to CTCAE criteria. Using a big data approach, we measured associations among all PROs, between all PROs and ORTs, and between PROs/ORTs and QOL with Pearson (p) and Kendall (t) correlation coefficients, and a novel analysis method based on receiver operating characteristic (ROC) curves used to detect thresholds in response levels demonstrating strong interactions. Results: PROs most strongly associated with QOL were recreation/entertainment, activity, and fatigue, with p = 0.51-0.60. Several PROs assessing a common functional outcome (eg. xerostomia) were highly associated with each other (PRO-PRO), with maximum p = 0.84. Maximum ORT-PRO correlations were p = 0.61 (dysgeusia versus taste), and p = 0.5 for ORT-QOL (dry mouth - day). The ROC method identified response thresholds with high area under the curve (AUC) scores for many ORT-PRO associations with maximum AUCavg = 0.78. Conclusions: PRO associations identified activity, lifestyle and fatigue as items for strong consideration for inclusion in questionnaires in the clinic, and suggest that outcome information can be captured in fewer items than the 27 in this study. The ability of clinicians to assess patient toxicities is highest with more severe toxicities, underscoring the need for PRO collection in patient visits to understand and address patient symptoms.
机译:目的:评估各种患者报告的结果(专利),观察者报告的毒性(ORTS),以及患者报告的头部和颈部癌症患者的患者的整体生活质量(QOL),以确定重要纳入诊所预期患者报告的项目。方法:612名患者在1273名后续访问中完成了来自三项问卷的27项,临床医生根据CTCAE标准提供矫形器。使用大数据方法,我们在所有优点之间的所有优点之间的关联,以及Pearson(P)和Kendall(T)相关系数的PRO / ORTS和QOL之间,以及基于接收器操作特性的新型分析方法( ROC)曲线用于检测响应水平的阈值,证明了强的相互作用。结果:与QOL最强烈相关的专业人员是娱乐/娱乐,活动和疲劳,P = 0.51-0.60。评估常见功能结果(例如,Xerostomia)的几个专业专利彼此高度相关(Pro-Pro),最大p = 0.84。最大Ort-Pro相关性为p = 0.61(痛经与味道),并且P = 0.5用于ORT-QOL(干口 - 天)。 ROC方法确定了具有最大AucavG = 0.78的许多ORT-Pro关联的曲线(AUC)分数下的高面积的响应阈值。结论:职业协会将活动,生活方式和疲劳确定为在诊所问卷中包含在临床问卷中的强烈考虑,并建议可以在比本研究中的27更少的项目中捕获结果信息。临床医生评估患者毒性的能力最高,毒性更严重,强调了对患者访问的Pro收集需要了解和解决患者症状。

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