TY - JOUR
T1 - Inflammatory Neuropathy Consortium base (INCbase)
T2 - a protocol of a global prospective observational cohort study for the development of a prediction model for treatment response in chronic inflammatory demyelinating polyneuropathy
AU - Michael, Milou R.
AU - Wieske, Luuk
AU - Allen, Jeffrey A.
AU - on behalf of the INCbase Consortium
AU - Lunn, Michael P.
AU - Doppler, Kathrin
AU - Tan, Cheng Yin
AU - Koike, Haruki
AU - Markvardsen, Lars K.
AU - Kapoor, Mahima
AU - Hsieh, Sung Tsang
AU - Nobile-Orazio, Eduardo
AU - Jacobs, Bart C.
AU - Rajabally, Yusuf A.
AU - Basta, Ivana
AU - Ripellino, Paolo
AU - Querol, Luis
AU - Eftimov, Filip
AU - Castro, Diana
AU - Vytopil, Michal
AU - Gable, Karissa
AU - Stino, Amro M.
AU - Pasnoor, Mamatha
AU - Hoke, Ahmet
AU - Lai, Kuan Lin
AU - Ro, Long Sun
AU - Sung, Jia Ying
AU - Lascano, Agustina
AU - Nagy, Sara
AU - Hundsberger, Thomas
AU - Humm, Andrea
AU - Theaudin, Marie
AU - Llaurado-Gayete, Arnau
AU - Martinez-Hernandez, Eugenia
AU - Moris, German
AU - Sevilla, Teresa
AU - Pascual, Ivonne Jericó
AU - Gutiérrez-Gutiérrez, Gerardo
N1 - Publisher Copyright: © The Author(s) 2024.
PY - 2024/10/25
Y1 - 2024/10/25
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85207833445&partnerID=8YFLogxK
U2 - 10.1186/s12883-024-03903-w
DO - 10.1186/s12883-024-03903-w
M3 - Article
C2 - 39455929
AN - SCOPUS:85207833445
SN - 1471-2377
VL - 24
JO - BMC Neurology
JF - BMC Neurology
IS - 1
M1 - 415
ER -