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 o...

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Veröffentlicht in:	BMC neurology Jg. 24; H. 1; S. 415 - 10
Hauptverfasser:	Michael, Milou R., Wieske, Luuk, Allen, Jeffrey A., Lunn, Michael P., Doppler, Kathrin, Tan, Cheng-Yin, Koike, Haruki, Markvardsen, Lars K., Kapoor, Mahima, Hsieh, Sung-Tsang, Nobile-Orazio, Eduardo, Jacobs, Bart C., Rajabally, Yusuf A., Basta, Ivana, Ripellino, Paolo, Querol, Luis, Eftimov, Filip
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 25.10.2024 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Analysis Biological markers Biomaterials Biomedical materials Care and treatment Chronic inflammatory demyelinating polyneuropathy Clinimetrics Cohort Studies Data collection Demyelination Diagnosis Electrophysiology Evidence-based medicine Female Humans Immunoglobulins Inflammation Male Medicine Medicine & Public Health Methods Neurochemistry Neurology Neuropathy Neurosurgery Outcome Pathophysiology Patients Pharmaceutical industry Polyneuropathies Polyneuropathy Polyradiculoneuropathy, Chronic Inflammatory Demyelinating - diagnosis Polyradiculoneuropathy, Chronic Inflammatory Demyelinating - drug therapy Polyradiculoneuropathy, Chronic Inflammatory Demyelinating - therapy Population studies Prediction models Prognosis Prospective Studies Questionnaires Registries Schedules Steroids Study Protocol Treatment Treatment Outcome Europe Prognosis Treatment Outcome Prediction model Biomarkers Diagnosis Clinimetrics Chronic inflammatory demyelinating polyneuropathy
ISSN:	1471-2377, 1471-2377
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Abstract	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.
AbstractList	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. 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. 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. 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. 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. Keywords: Chronic inflammatory demyelinating polyneuropathy, Diagnosis, Prognosis, Outcome, Clinimetrics, Treatment, Biomarkers, Prediction model Abstract 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. 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.BACKGROUNDINCbase 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.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.METHODSAll 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.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.DISCUSSIONWith 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. 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. 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. 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. BackgroundINCbase 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.MethodsAll 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.DiscussionWith 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.
ArticleNumber	415
Audience	Academic
Author	Koike, Haruki Hsieh, Sung-Tsang Eftimov, Filip Allen, Jeffrey A. Ripellino, Paolo Michael, Milou R. Lunn, Michael P. Kapoor, Mahima Nobile-Orazio, Eduardo Rajabally, Yusuf A. Doppler, Kathrin Tan, Cheng-Yin Markvardsen, Lars K. Jacobs, Bart C. Querol, Luis Basta, Ivana Wieske, Luuk
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/39455929$$D View this record in MEDLINE/PubMed
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Cites_doi	10.1002/14651858.CD001797.pub3 10.1111/jns.12296 10.1093/brain/awh222 10.1007/s00415-009-5386-x 10.1136/jnnp.72.5.596 10.1111/jns.12547 10.1016/j.nmd.2017.10.009 10.1016/0168-8510(91)90142-K 10.1212/01.WNL.0000158680.89323.F8 10.1212/WNL.0b013e318208824b 10.1111/j.1529-8027.2009.00238.x 10.1111/j.1600-0447.1983.tb09716.x 10.1007/s00415-008-0687-z 10.1016/j.jclinepi.2004.06.017 10.1016/j.jclinepi.2016.02.031 10.1002/mus.880141111 10.1016/j.nmd.2013.06.006 10.1016/S1474-4422(19)30144-9 10.1111/jns.12455 10.1111/jns.12209
ContentType	Journal Article
Contributor	Sevilla, Teresa Sung, Jia-Ying Llaurado-Gayete, Arnau Gutiérrez-Gutiérrez, Gerardo Hundsberger, Thomas Lascano, Agustina Gable, Karissa Vytopil, Michal Lai, Kuan-Lin Castro, Diana Martinez-Hernandez, Eugenia Pasnoor, Mamatha Pascual, Ivonne Jericó Ro, Long-Sun Hoke, Ahmet Nagy, Sara Stino, Amro M Humm, Andrea Moris, German Theaudin, Marie Querol, Luis
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Keywords	Prognosis Treatment Outcome Prediction model Biomarkers Diagnosis Clinimetrics Chronic inflammatory demyelinating polyneuropathy
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References	EK Vanhoutte (3903_CR11) 2013; 23 PYK Van den Bergh (3903_CR1) 2021; 26 K Viala (3903_CR7) 2004; 127 A Kimura (3903_CR6) 2010; 257 TRIPOD + AI statement (3903_CR17) 2024; 385 F Eftimov (3903_CR21) 2018; 28 YA Rajabally (3903_CR3) 2008; 255 C Bunschoten (3903_CR18) 2019; 18 Y Vergouwe (3903_CR20) 2005; 58 AS Zigmond (3903_CR15) 1983; 67 R Schwarzer (3903_CR16) 1995 C Bunschoten (3903_CR8) 2019; 24 SI van Nes (3903_CR12) 2011; 76 BC Jacobs (3903_CR22) 2017; 22 RG Brooks (3903_CR13) 1991; 18 M Iijima (3903_CR2) 2005; 64 T Hamadeh (3903_CR23) 2023; 28 3903_CR5 IS Merkies (3903_CR9) 2002; 72 EO Ogundimu (3903_CR19) 2016; 76 RP Kleyweg (3903_CR10) 1991; 14 AL Oaklander (3903_CR4) 2017; 1 SI van Nes (3903_CR14) 2009; 14
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Snippet	Background INCbase is an international, multicenter prospective observational study using a customizable web-based modular registry to study the clinical,... INCbase is an international, multicenter prospective observational study using a customizable web-based modular registry to study the clinical, biological and... Background INCbase is an international, multicenter prospective observational study using a customizable web-based modular registry to study the clinical,... BackgroundINCbase is an international, multicenter prospective observational study using a customizable web-based modular registry to study the clinical,... Abstract Background INCbase is an international, multicenter prospective observational study using a customizable web-based modular registry to study the...
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SubjectTerms	Analysis Biological markers Biomaterials Biomedical materials Care and treatment Chronic inflammatory demyelinating polyneuropathy Clinimetrics Cohort Studies Data collection Demyelination Diagnosis Electrophysiology Evidence-based medicine Female Humans Immunoglobulins Inflammation Male Medicine Medicine & Public Health Methods Neurochemistry Neurology Neuropathy Neurosurgery Outcome Pathophysiology Patients Pharmaceutical industry Polyneuropathies Polyneuropathy Polyradiculoneuropathy, Chronic Inflammatory Demyelinating - diagnosis Polyradiculoneuropathy, Chronic Inflammatory Demyelinating - drug therapy Polyradiculoneuropathy, Chronic Inflammatory Demyelinating - therapy Population studies Prediction models Prognosis Prospective Studies Questionnaires Registries Schedules Steroids Study Protocol Treatment Treatment Outcome
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