炎症性神经病变联盟基地(INCbase):为开发慢性炎症性脱髓鞘性多发性神经病变治疗反应预测模型而进行的全球前瞻性观察性队列研究方案。

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY BMC Neurology Pub Date : 2024-10-25 DOI:10.1186/s12883-024-03903-w
Milou R Michael, Luuk Wieske, Jeffrey A Allen, Michael P Lunn, Kathrin Doppler, Cheng-Yin Tan, Haruki Koike, Lars K Markvardsen, Mahima Kapoor, Sung-Tsang Hsieh, Eduardo Nobile-Orazio, Bart C Jacobs, Yusuf A Rajabally, Ivana Basta, Paolo Ripellino, Luis Querol, Filip Eftimov
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引用次数: 0

摘要

研究背景INCbase是一项国际性多中心前瞻性观察研究,采用可定制的网络模块化登记系统,研究慢性炎症性脱髓鞘性多发性神经病(CIDP)的临床、生物学和电生理学变异及界限。INCbase 的主要目的是开发并验证治疗反应的临床预测模型:所有符合 CIDP 临床标准的患者均可纳入 INCbase。收集的数据包括人口统计学、临床病史、诊断和临床结果的各个领域。两年内至少每 6 个月收集一次数据,研究机构可酌情增加收集数据的频率,以便评估治疗反应或临床状态的意外变化。参试者可参加各种子研究,以获取特定兴趣群体的相关数据。数据由当地研究人员和/或参与者直接输入网络数据输入系统。生物材料的收集和本地存储为可选项。为建立治疗反应临床预测模型,将纳入新诊断出的需要开始一线治疗的活动性疾病患者。研究对象将分为开发队列和验证队列。将使用单变量和多变量逻辑回归分析来确定并结合开始治疗时的预测因素,以预测六个月后的治疗反应。将在外部验证队列中通过辨别和校准评估模型性能。经外部验证的预测模型将在 INCbase 网站上提供给研究人员和临床医生:通过这项研究,我们的目标是建立一个与临床相关且可实施的预测模型,用于预测 CIDP 一线治疗的治疗反应。INCbase 于 2021 年 4 月开始注册,迄今已有 8 个国家的 29 个中心和 303 名患者参与。这项由学术界、患者权益组织和制药业共同参与的研究将加深我们对如何诊断和治疗 CIDP 的理解。
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Inflammatory Neuropathy Consortium base (INCbase): a protocol of a global prospective observational cohort study for the development of a prediction model for treatment response in chronic inflammatory demyelinating polyneuropathy.

Background: INCbase is an international, multicenter prospective observational study using a customizable web-based modular registry to study the clinical, biological and electrophysiological variation and boundaries of chronic inflammatory demyelinating polyneuropathy (CIDP). The primary objective of INCbase is to develop and validate a clinical prediction model for treatment response.

Methods: All patients meeting clinical criteria for CIDP can be included in INCbase. Collected data include demographics, clinical history, diagnostics and various domains of clinical outcomes. Data is collected at a minimum of every 6 months for two years, and more frequently at the discretion of the investigational site to allow for assessment of unexpected changes in treatment response or clinical status. Participants can be enrolled in various sub-studies designed to capture data relevant to specific groups of interest. Data is entered directly into the web-based data entry system by local investigators and/or participants. Collection and local storage of biomaterial is optional. To develop a clinical prediction model for treatment response, newly diagnosed patients with active disease warranting start of first-line treatment will be included. The study population will be split into a development and validation cohort. Univariate and multivariate logistic regression analysis will be used to identify and combine predictors at start of treatment for treatment response at six months. Model performance will be assessed through discrimination and calibration in an external validation cohort. The externally validated prediction model will be made available to researchers and clinicians on the INCbase website.

Discussion: With this study, we aim to create a clinically relevant and implementable prediction model for treatment response to first line treatments in CIDP. INCbase enrollment started in April 2021, with 29 centers across 8 countries and 303 patients participating to date. This collaborative effort between academia, patient advocacy organizations and pharmaceutical industry will deepen our understanding of how to diagnose and treat CIDP.

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来源期刊
BMC Neurology
BMC Neurology 医学-临床神经学
CiteScore
4.20
自引率
0.00%
发文量
428
审稿时长
3-8 weeks
期刊介绍: BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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