Cargando…

China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms

BACKGROUND: Ruptured aneurysms, the commonest cause of nontraumatic subarachnoid hemorrhage, can be catastrophic; the mortality and morbidity of affected patients being very high. Some risk factors, such as smoking, hypertension and female sex have been identified, whereas others, such as hemodynami...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Junfan, Liu, Jian, Zhang, Yisen, Tian, Zhongbin, Wang, Kun, Zhang, Ying, Mu, Shiqing, Lv, Ming, Jiang, Peng, Duan, ChuanZhi, Zhang, Hongqi, Qu, Yan, He, Min, Yang, Xinjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158879/
https://www.ncbi.nlm.nih.gov/pubmed/30257699
http://dx.doi.org/10.1186/s12967-018-1641-1
_version_ 1783358505928884224
author Chen, Junfan
Liu, Jian
Zhang, Yisen
Tian, Zhongbin
Wang, Kun
Zhang, Ying
Mu, Shiqing
Lv, Ming
Jiang, Peng
Duan, ChuanZhi
Zhang, Hongqi
Qu, Yan
He, Min
Yang, Xinjian
author_facet Chen, Junfan
Liu, Jian
Zhang, Yisen
Tian, Zhongbin
Wang, Kun
Zhang, Ying
Mu, Shiqing
Lv, Ming
Jiang, Peng
Duan, ChuanZhi
Zhang, Hongqi
Qu, Yan
He, Min
Yang, Xinjian
author_sort Chen, Junfan
collection PubMed
description BACKGROUND: Ruptured aneurysms, the commonest cause of nontraumatic subarachnoid hemorrhage, can be catastrophic; the mortality and morbidity of affected patients being very high. Some risk factors, such as smoking, hypertension and female sex have been identified, whereas others, such as hemodynamics, imaging, and genomics, remain unclear. Currently, no accurate model that includes all factors for predicting such rupture is available. We plan to use data from a large cohort of Chinese individuals to set up a multidimensional model for predicting risk of rupture of unruptured intracranial aneurysms (UIAs). METHODS: The China Intracranial Aneurysm Project-2 (CIAP-2) will comprise screening of a cohort of 500 patients with UIA (From CIAP-1) and focus on hemodynamic factors, high resolution magnetic resonance imaging (HRMRI) findings, genetic factors, and biomarkers. Possible risk factors for rupture of UIA, including genetic factors, biomarkers, HRMRI, and hemodynamic factors, will be analyzed. The first project of the China Intracranial Aneurysm Project (CIAP-1; chaired by the Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, China) will prospectively collect a cohort of 5000 patients with UIA from 20 centers in China, and collect baseline information for each patient. Multidimensional data will be acquired in follow-up assessments. Statistically significant clinical features in the UIA cohort will also be analyzed and integrated into the model for predicting risk of UIA rupture. After the model has been set up, the resultant evidence-based prediction will provide a preliminary theoretical basis for treating aneurysms at high risk of rupture. DISCUSSION: This study will explore the risk of rupture of aneurysms and develop a scientific multidimensional model for predicting rupture of unruptured intracranial aneurysms. Clinical Trials registration A Study on a Multidimensional Prediction Model for Rupture Risk of Unruptured Intracranial Aneurysms (CIAP-2), NCT03133624. Registered: 16 April 2017. https://clinicaltrials.gov/ct2/show/NCT03133624
format Online
Article
Text
id pubmed-6158879
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-61588792018-10-01 China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms Chen, Junfan Liu, Jian Zhang, Yisen Tian, Zhongbin Wang, Kun Zhang, Ying Mu, Shiqing Lv, Ming Jiang, Peng Duan, ChuanZhi Zhang, Hongqi Qu, Yan He, Min Yang, Xinjian J Transl Med Protocol BACKGROUND: Ruptured aneurysms, the commonest cause of nontraumatic subarachnoid hemorrhage, can be catastrophic; the mortality and morbidity of affected patients being very high. Some risk factors, such as smoking, hypertension and female sex have been identified, whereas others, such as hemodynamics, imaging, and genomics, remain unclear. Currently, no accurate model that includes all factors for predicting such rupture is available. We plan to use data from a large cohort of Chinese individuals to set up a multidimensional model for predicting risk of rupture of unruptured intracranial aneurysms (UIAs). METHODS: The China Intracranial Aneurysm Project-2 (CIAP-2) will comprise screening of a cohort of 500 patients with UIA (From CIAP-1) and focus on hemodynamic factors, high resolution magnetic resonance imaging (HRMRI) findings, genetic factors, and biomarkers. Possible risk factors for rupture of UIA, including genetic factors, biomarkers, HRMRI, and hemodynamic factors, will be analyzed. The first project of the China Intracranial Aneurysm Project (CIAP-1; chaired by the Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, China) will prospectively collect a cohort of 5000 patients with UIA from 20 centers in China, and collect baseline information for each patient. Multidimensional data will be acquired in follow-up assessments. Statistically significant clinical features in the UIA cohort will also be analyzed and integrated into the model for predicting risk of UIA rupture. After the model has been set up, the resultant evidence-based prediction will provide a preliminary theoretical basis for treating aneurysms at high risk of rupture. DISCUSSION: This study will explore the risk of rupture of aneurysms and develop a scientific multidimensional model for predicting rupture of unruptured intracranial aneurysms. Clinical Trials registration A Study on a Multidimensional Prediction Model for Rupture Risk of Unruptured Intracranial Aneurysms (CIAP-2), NCT03133624. Registered: 16 April 2017. https://clinicaltrials.gov/ct2/show/NCT03133624 BioMed Central 2018-09-26 /pmc/articles/PMC6158879/ /pubmed/30257699 http://dx.doi.org/10.1186/s12967-018-1641-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Protocol
Chen, Junfan
Liu, Jian
Zhang, Yisen
Tian, Zhongbin
Wang, Kun
Zhang, Ying
Mu, Shiqing
Lv, Ming
Jiang, Peng
Duan, ChuanZhi
Zhang, Hongqi
Qu, Yan
He, Min
Yang, Xinjian
China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
title China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
title_full China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
title_fullStr China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
title_full_unstemmed China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
title_short China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
title_sort china intracranial aneurysm project (ciap): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158879/
https://www.ncbi.nlm.nih.gov/pubmed/30257699
http://dx.doi.org/10.1186/s12967-018-1641-1
work_keys_str_mv AT chenjunfan chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT liujian chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT zhangyisen chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT tianzhongbin chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT wangkun chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT zhangying chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT mushiqing chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT lvming chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT jiangpeng chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT duanchuanzhi chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT zhanghongqi chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT quyan chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT hemin chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms
AT yangxinjian chinaintracranialaneurysmprojectciapprotocolforaregistrystudyonamultidimensionalpredictionmodelforruptureriskofunrupturedintracranialaneurysms