Literature DB >> 31167618

R2eD AVM Score.

James Feghali1, Wuyang Yang1, Risheng Xu1, Jason Liew1, Cameron G McDougall1, Justin M Caplan1, Rafael J Tamargo1, Judy Huang1.   

Abstract

Background and Purpose- The management of unruptured brain arteriovenous malformations remains unclear. Using a large cohort to determine risk factors predictive of hemorrhagic presentation of arteriovenous malformations, this study aims to develop a predictive tool that could guide hemorrhage risk stratification. Methods- A database of 789 arteriovenous malformation patients presenting to our institution between 1990 and 2017 was used. A hold-out method of model validation was used, whereby the data was randomly split in half into training and validation data sets. Factors significant at the univariable level in the training data set were used to construct a model based on multivariable logistic regression. Model performance was assessed using receiver operating curves on the training, validation, and complete data sets. The predictors and the complete data set were then used to derive a risk prediction formula and a practical scoring system, where every risk factor was worth 1 point except race, which was worth 2 points (total score varies from 0 to 6). The factors are summarized by R2eD arteriovenous malformation (acronym: R2eD AVM). Results- In 755 patients with complete data, 272 (36%) presented with hemorrhage. From the training data set, a model was derived containing the following risk factors: nonwhite race (odds ratio [OR]=1.8; P=0.02), small nidus size (OR=1.47; P=0.14), deep location (OR=2.3; P<0.01), single arterial feeder (OR=2.24; P<0.01), and exclusive deep venous drainage (OR=2.07; P=0.02). Area under the curve from receiver operating curve analysis was 0.702, 0.698, and 0.685 for the training, validation, and complete data sets, respectively. In the entire study population, the predicted probability of hemorrhagic presentation increased in a stepwise manner from 16% for patients with no risk factors (score of 0) to 78% for patients having all the risk factors (score of 6). Conclusions- The final model derived from this study can be used as a predictive tool that supplements clinical judgment and aids in patient counseling.

Entities:  

Keywords:  arteriovenous malformations; hemorrhage; odds ratio; radiosurgery; risk factors

Mesh:

Year:  2019        PMID: 31167618     DOI: 10.1161/STROKEAHA.119.025054

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  6 in total

1.  Interrater Reliability in the Measurement of Flow Characteristics on Color-Coded Quantitative DSA of Brain AVMs.

Authors:  K H Narsinh; K Mueller; J Nelson; J Massachi; D C Murph; A Z Copelan; S W Hetts; V V Halbach; R T Higashida; A A Abla; M R Amans; C F Dowd; H Kim; D L Cooke
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-29       Impact factor: 3.825

2.  External validation of brain arteriovenous malformation haemorrhage scores, AVICH, ICH and R2eD.

Authors:  Basel A Taweel; Conor S Gillespie; George E Richardson; Mohammad A Mustafa; Tamara Ali; Abdurrahman I Islim; Cathal J Hannan; Emmanuel Chavredakis
Journal:  Acta Neurochir (Wien)       Date:  2022-04-18       Impact factor: 2.816

3.  Multimodality treatment for brain arteriovenous malformation in Mainland China: design, rationale, and baseline patient characteristics of a nationwide multicenter prospective registry.

Authors:  Yu Chen; Heze Han; Li Ma; Ruinan Li; Zhipeng Li; Debin Yan; Haibin Zhang; Kexin Yuan; Ke Wang; Yang Zhao; Yukun Zhang; Weitao Jin; Runting Li; Fa Lin; Xiangyu Meng; Qiang Hao; Hao Wang; Xun Ye; Shuai Kang; Hengwei Jin; Youxiang Li; Dezhi Gao; Shibin Sun; Ali Liu; Shuo Wang; Xiaolin Chen; Yuanli Zhao
Journal:  Chin Neurosurg J       Date:  2022-10-17

Review 4.  Cellular loci involved in the development of brain arteriovenous malformations.

Authors:  Zahra Shabani; Joana Schuerger; Hua Su
Journal:  Front Hum Neurosci       Date:  2022-09-21       Impact factor: 3.473

Review 5.  Review of treatment and therapeutic targets in brain arteriovenous malformation.

Authors:  Peipei Pan; Shantel Weinsheimer; Daniel Cooke; Ethan Winkler; Adib Abla; Helen Kim; Hua Su
Journal:  J Cereb Blood Flow Metab       Date:  2021-06-23       Impact factor: 6.960

6.  A novel online calculator predicting short-term postoperative outcomes in patients with metastatic brain tumors.

Authors:  Adham M Khalafallah; Adrian E Jimenez; Palak Patel; Sakibul Huq; Omar Azmeh; Debraj Mukherjee
Journal:  J Neurooncol       Date:  2020-09-22       Impact factor: 4.130

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.