An Externally Validated Dynamic Nomogram for Predicting Unfavorable Prognosis in Patients With Aneurysmal Subarachnoid Hemorrhage

An Externally Validated Dynamic Nomogram for Predicting Unfavorable Prognosis in Patients With Aneurysmal Subarachnoid Hemorrhage

Background: Aneurysmal subarachnoid hemorrhage (aSAH) leads to severe disability and functional dependence. However, no reliable method exists to predict the clinical prognosis after aSAH. Thus, this study aimed to develop a web-based dynamic nomogram to precisely evaluate the risk of poor outcomes...

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Bibliographic Details
Main Authors: Ping Hu, Yang Xu, Yangfan Liu, Yuntao Li, Liguo Ye, Si Zhang, Xinyi Zhu, Yangzhi Qi, Huikai Zhang, Qian Sun, Yixuan Wang, Gang Deng, Qianxue Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Neurology
Subjects:
aneurysmal subarachnoid hemorrhage
unfavorable prognosis
LASSO regression
multivariable logistic regression
dynamic nomogram
external validation
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.683051/full

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https://www.frontiersin.org/articles/10.3389/fneur.2021.683051/full

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