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PERCEIVE 定量研究:预测主要下肢截肢后的风险和结局沟通:一项协作研究的方案。

The PERCEIVE quantitative study: PrEdiction of Risk and Communication of outcome following major lower-limb amputation: protocol for a collaboratiVE study.

机构信息

Gwent Vascular Institute, Royal Gwent Hospital, Aneurin Bevan University Health Board, Newport, UK.

Centre for Trials Research, Cardiff University, Cardiff, UK.

出版信息

BJS Open. 2021 Nov 9;5(6). doi: 10.1093/bjsopen/zrab118.

Abstract

BACKGROUND

Accurate prediction of outcomes following surgery with high morbidity and mortality rates is essential for informed shared decision-making between patients and clinicians. It is unknown how accurately healthcare professionals predict outcomes following major lower-limb amputation (MLLA). Several MLLA outcome-prediction tools have been developed. These could be valuable in clinical practice, but most require validation in independent cohorts before routine clinical use can be recommended. The primary aim of this study is to evaluate the accuracy of healthcare professionals' predictions of outcomes in adult patients undergoing MLLA for complications of chronic limb-threatening ischaemia (CLTI) or diabetes. Secondary aims include the validation of existing outcome-prediction tools.

METHOD

This study is an international, multicentre prospective observational study including adult patients undergoing a primary MLLA for CLTI or diabetes. Healthcare professionals' accuracy in predicting outcomes at 30-days (death, morbidity and MLLA revision) and 1-year (death, MLLA revision and ambulation) will be evaluated. Sixteen existing outcome-prediction tools specific to MLLA will be examined for validity. Data collection began on 1 October 2020; the end of follow-up will be 1 May 2022. The C-statistic, Hosmer-Lemeshow test, reclassification tables and Brier score will be used to evaluate the predictive performance of healthcare professionals and prediction tools, respectively.

STUDY REGISTRATION AND DISSEMINATION

This study will be registered locally at each centre in accordance with local policies before commencing data collection, overseen by local clinician leads. Results will be disseminated to all centres, and any subsequent presentation(s) and/or publication(s) will follow a collaborative co-authorship model.

摘要

背景

对于高发病率和死亡率的手术,准确预测结果对于患者和临床医生之间的知情共享决策至关重要。目前尚不清楚医疗保健专业人员对大下肢截肢(MLLA)后结果的预测有多准确。已经开发了几种 MLLA 结果预测工具。这些工具在临床实践中可能很有价值,但在推荐常规临床使用之前,大多数都需要在独立队列中进行验证。本研究的主要目的是评估医疗保健专业人员对接受 MLLA 治疗慢性肢体威胁性缺血(CLTI)或糖尿病并发症的成年患者的术后结果预测的准确性。次要目的包括验证现有的结果预测工具。

方法

这是一项国际性的、多中心的前瞻性观察研究,包括接受初次 MLLA 治疗 CLTI 或糖尿病的成年患者。将评估医疗保健专业人员在 30 天(死亡、发病率和 MLLA 修订)和 1 年(死亡、MLLA 修订和活动能力)时预测结果的准确性。将检查 16 种专门针对 MLLA 的现有结果预测工具的有效性。数据收集于 2020 年 10 月 1 日开始,随访将于 2022 年 5 月 1 日结束。将使用 C 统计量、Hosmer-Lemeshow 检验、重新分类表和 Brier 评分分别评估医疗保健专业人员和预测工具的预测性能。

研究注册和传播

根据当地政策,在开始数据收集之前,将在每个中心进行本地注册,由当地临床医生领导监督。结果将分发给所有中心,任何后续的演讲和/或出版物将遵循合作共同署名模式。

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