Abstract

Reversible cerebral vasoconstriction syndrome (RCVS) is one of the most important differential diagnosis in patients with thunderclap headache (TCH). We aimed to develop a new scoring system for RCVS in patients with TCH. We retrospectively analyzed 72 patients enrolled in the prospective study of TCH conducted in 2015–2016 (derivation set). We identified possible predictors for the diagnosis of RCVS and constructed a prediction model (RCVS–TCH score) using the multivariable logistic regression model. Diagnostic performance was validated to an independent validation set from our headache registry. The derivation set comprised 41 patients with RCVS and 31 with non-RCVS, and the validation set included 253 patients with TCH (165 with RCVS and 88 with non-RCVS). The RCVS–TCH score (range: 0–12) contained four predictors: recurrent TCHs, female sex, triggering factor for TCH (single or multi) and blood pressure surge. The C-index of RCVS–TCH score was 0.929 (95% CI = 0.874–0.984). The RCVS–TCH score ≥ 7 had a sensitivity of 80% and a specificity of 97% in discriminating RCVS from non-RCVS. In the validation set, RCVS–TCH score showed a C-index of 0.861 (95% CI = 0.815–0.908). In our study, the RCVS–TCH showed good performance, which may aid the diagnosis of RCVS among patients with TCH.

Details

Title
RCVS–TCH score can predict reversible cerebral vasoconstriction syndrome in patients with thunderclap headache
Author
Cho Soohyun 1 ; Ji, Lee Mi 2 ; Gil Young Eun 3 ; Chin-Sang, Chung 2 

 Eulji University School of Medicine, Department of Neurology, Uijeongbu Eulji Medical Center, Gyeonggi, South Korea (GRID:grid.255588.7) (ISNI:0000 0004 1798 4296) 
 Sungkyunkwan University School of Medicine, Department of Neurology, Samsung Medical Center, Seoul, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X); Samsung Medical Center, Neuroscience Center, Seoul, South Korea (GRID:grid.414964.a) (ISNI:0000 0001 0640 5613) 
 Sungkyunkwan University School of Medicine, Department of Neurology, Samsung Medical Center, Seoul, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2509906877
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.