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首页> 外文期刊>Contemporary Clinical Trials Communications >Estimating patients’ risk for postoperative delirium from preoperative routine data - Trial design of the PRe-Operative prediction of postoperative DElirium by appropriate SCreening (PROPDESC) study - A monocentre prospective observational trial
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Estimating patients’ risk for postoperative delirium from preoperative routine data - Trial design of the PRe-Operative prediction of postoperative DElirium by appropriate SCreening (PROPDESC) study - A monocentre prospective observational trial

机译：通过适当的筛查（ProCDESC）研究估算术前常规数据 - 试验设计术前常规数据试验设计的术前常规数据试验 - 单电脑未来观察试验

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BackgroundPostoperative Delirium (POD) is the most common complication of elderly patients after surgery associated with increased postoperative morbidity, persistent care dependency and even mortality. Prevention of POD requires detection of patients at high risk prior to surgery. PROPDESC intends to provide an instrument for preoperative routine screening of patients' risk for POD.MethodsPROPDESC is a monocentric prospective observatory trial including 1000 patients older than 60 years from various disciplines of a university hospital planned for surgery of at least 60?min. To develop a score predicting the risk for POD, anesthesiological stratifications, laboratory values, medication and known risk factors as well as quality of life and cognitive performance are taken into account. POD assessment is performed daily on the first five days after the operation respectively the end of sedation in the intensive care units and normal wards. The score is evaluated from 600 data sets and subsequently validated internally. The most appropriate predictors are determined by a component-wise gradient boosting approach.DiscussionBased on retrospective investigations, etiology of POD is considered multifactorial. By a prospective analysis of various factors, PROPDESC intends to provide an applicable tool to predict the risk for POD from preoperative routine data and assessment of cognitive function. Objective is to establish an automatically generating score in preoperative routine to screen patients for increased risk of POD as starting point for POD reduction and management. Model compilation requires a high significance and enhancement within compound as well as regular availability of the selected predictors.Trial registrationDRKS, DRKS00015715. Registered 13 December 2018 - Retrospectively registered, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00015715.
机译：背景开放的谵妄（POD）是老年患者在手术后最常见的并发症与术后发病率增加，持续的护理依赖性甚至死亡率。预防豆荚需要在手术前检测高风险的患者。 ProPDESC打算为患有患者的术前常规筛查PODERPSPORPDESC提供一种术语常规筛查仪器是一项单眼前瞻性天文学试验，包括从计划的大学医院的各个学科60岁以上的患者，这些患者为手术至少为60？最小的手术。为了开发预测豆荚，麻醉分层，实验室价值，药物，药物和已知风险因素以及患有生活质量和认知性能的评分。 Pod评估每天在操作后的前五天进行，分别在重症监护单位和普通病房中镇静结束。分数从600个数据集评估并随后在内部验证。最合适的预测因子由组分 - 明智的梯度升压方法决定。讨论基于回顾性的研究，豆荚的病因被认为是多因素。通过对各种因素的前瞻性分析，ProPDESC打算提供适用的工具，以预测从术前常规数据和认知功能评估的植物荚的风险。目的是建立术前日常常规的自动产生得分，筛选患者，以增加POD的风险，作为豆荚减少和管理的起点。模型编译需要在化合物中具有高意义和增强，以及所选预测器的定期可用性.TRIAL RegistrationDRK，DRKS00015715。注册2018年12月13日 - 回顾性地注册，https://www.drks.de/drks_web/navigate.do? navigationId=trial.html&trial_id=drks00015715。

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