2019/01/11 by Eva A. Rocha, Eva Rocha, M. Akif Topcuoglu +4 · 26 citations
Medicine · #Cardiology #Cerebrovascular and genetic disorders #Internal medicine #Medicine #Moyamoya disease diagnosis and treatment #Neurological Complications and Syndromes #Reversible cerebral vasoconstriction syndrome #Vasoconstriction
paper · doi:10.1212/wnl.0000000000006917
openalex publication_date 2019/01/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
<h3>Objective</h3> To develop a method to distinguish reversible cerebral vasoconstriction syndrome (RCVS) from other large/medium-vessel intracranial arteriopathies. <h3>Methods</h3> We identified consecutive patients from our institutional databases admitted in 2013–2017 with newly diagnosed RCVS (n = 30) or non-RCVS arteriopathy (n = 80). Admission clinical and imaging features were compared. Multivariate logistic regression modeling was used to develop a discriminatory score. Score validity was tested in a separate cohort of patients with RCVS and its closest mimic, primary angiitis of the CNS (PACNS). In addition, key variables were used to develop a bedside approach to distinguish RCVS from non-RCVS arteriopathies. <h3>Results</h3> The RCVS group had significantly more women, vasoconstrictive triggers, thunderclap headaches, normal brain imaging results, and better outcomes. Beta coefficients from the multivariate regression model yielding the best <i>c</i>-statistic (0.989) were used to develop the RCVS<sub>2</sub> score (range −2 to +10; recurrent/single thunderclap headache; carotid artery involvement; vasoconstrictive trigger; sex; subarachnoid hemorrhage). Score ≥5 had 99% specificity and 90% sensitivity for diagnosing RCVS, and score ≤2 had 100% specificity and 85% sensitivity for excluding RCVS. Scores 3–4 had 86% specificity and 10% sensitivity for diagnosing RCVS. The score showed similar performance to distinguish RCVS from PACNS in the validation cohort. A clinical approach based on recurrent thunderclap headaches, trigger and normal brain scans, or convexity subarachnoid hemorrhage correctly diagnosed 25 of 37 patients with RCVS<sub>2</sub> scores 3–4 across the derivation and validation cohorts. <h3>Conclusion</h3> RCVS can be accurately distinguished from other intracranial arteriopathies upon admission, using widely available clinical and imaging features. <h3>Classification of evidence</h3> This study provides Class II evidence that the RCVS<sub>2</sub> score accurately distinguishes patients with RCVS from those with other intracranial arteriopathies.