Chiesa Silvia, Marconi Elisa, Dinapoli Nicola, Sanfilippo Maria Zoe, Ruggiero Antonio, Mastronuzzi Angela, Panza Giulia, Serra Annalisa, Massaccesi Mariangela, Cacchione Antonella, Beghella Bartoli Francesco, Chieffo Daniela Pia Rosaria, Gambacorta Maria Antonietta, Valentini Vincenzo, Balducci Mario
UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
UOS di Psicologia Clinica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Front Oncol. 2021 Mar 29;11:621690. doi: 10.3389/fonc.2021.621690. eCollection 2021.
Pediatric patients may experience considerable distress during radiotherapy. Combining psychological interventions with standard therapies can reduce the need for sedation. The RADAR Project aims to use a systematic method of recording data that can reveal patients' difficulties and fragility during treatment. In this context, the aim of our study was to investigate the ability of a multidimensional assessment tool (M.A.P.-RT schedule) to predict the need for sedation during radiotherapy. The schedule, which is administered during the first evaluation, was created to collect information on patients and their families in a standardized way. The study enrolled pediatric patients (aged 0-18 years or 18-21 with cognitive impairment). Data were collected by means of the M.A.P.-RT module; this explores various thematic areas, and is completed by the radiation oncologist, psychologist and nurse during their first evaluation. Features were selected by means of the Boruta method (random forest classifier), and the totals of the significant partial scores on each subsection of the module were inserted into a logistic model in order to test for their correlation with the use of anesthesia and with the frequency of psychological support. The results of logistic regression (LR) were used to identify the best predictors. The AUC was used to identify the best threshold for the scores in the evaluation. A total of 99 patients were considered for this analysis. The feature that best predicted both the need for anesthesia and the frequency of psychological support was the total score (TS), the AUC of the ROC being 0.9875 for anesthesia and 0.8866 for psychological support. During the first evaluation, the M.A.P.-RT form can predict the need for anesthesia in pediatric patients, and is a potential tool for personalizing therapeutic and management procedures.
儿科患者在放疗期间可能会经历相当大的痛苦。将心理干预与标准治疗相结合可以减少镇静的需求。RADAR项目旨在使用一种系统的数据记录方法,以揭示患者在治疗期间的困难和脆弱性。在此背景下,我们研究的目的是调查一种多维评估工具(M.A.P.-RT量表)预测放疗期间镇静需求的能力。该量表在首次评估时使用,旨在以标准化方式收集患者及其家属的信息。该研究纳入了儿科患者(0至18岁或18至21岁且有认知障碍)。数据通过M.A.P.-RT模块收集;该模块探索了各个主题领域,并由放射肿瘤学家、心理学家和护士在首次评估时完成。通过Boruta方法(随机森林分类器)选择特征,并将模块各子部分的显著部分得分总和插入逻辑模型,以测试它们与麻醉使用和心理支持频率的相关性。逻辑回归(LR)的结果用于确定最佳预测因素。AUC用于确定评估中得分的最佳阈值。本分析共纳入99例患者。最能预测麻醉需求和心理支持频率的特征是总分(TS),麻醉的ROC曲线下面积(AUC)为0.9875,心理支持为0.8866。在首次评估期间,M.A.P.-RT表格可以预测儿科患者的麻醉需求,是一种用于个性化治疗和管理程序的潜在工具。