Literature DB >> 18823637

Development and validation of a predictive outcome score of cerebral venous thrombosis.

K Koopman1, M Uyttenboogaart, P C Vroomen, J van der Meer, J De Keyser, G J Luijckx.   

Abstract

BACKGROUND AND
PURPOSE: Cerebral venous thrombosis (CVT) is a rare disease with a variable outcome. The aim of this study was to develop and validate a predictive outcome score for CVT patients.
METHODS: The score was based on the 8 predictive variables of poor outcome (modified Rankin Scale score>2) from the International Study on Cerebral Vein and Dural Sinus Thrombosis: age >37, male, mental status disorder, coma, intracranial hemorrhage, deep CVT, CNS infection, and malignancy. To assign a weighted index (WI), the natural logarithm of the hazard ratio of each variable was calculated, multiplied by 10 and rounded to the nearest integer. The individual score of each patient was the sum of the WI. The validation sample consisted of a retrospective single center cohort of 90 CVT patients.
RESULTS: Sixteen patients (18%) had a poor outcome. The predictive score had an area under the receiver operating characteristic curve of 0.81 (95% CI 0.71-0.90). The cut-off score with the maximum sum of sensitivity and specificity was a score> or =14 with sensitivity of 88% (81%-95%) and specificity of 70% (61%-79%). The predictive value of a score<14 for good outcome was 96% (92%-100%), whereas the predictive value of a score> or =14 for poor outcome was 39% (29%-49%).
CONCLUSIONS: This relatively simple predictive outcome score may be useful in CVT patients. A cut-off score of 14 reliably predicts good outcome, but is less accurate in predicting poor outcome.

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Year:  2008        PMID: 18823637     DOI: 10.1016/j.jns.2008.08.033

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  4 in total

1.  Do the Risk Factors Determine the Severity and Outcome of Cerebral Venous Sinus Thrombosis?

Authors:  Jayantee Kalita; Usha K Misra; Rajesh K Singh
Journal:  Transl Stroke Res       Date:  2018-01-10       Impact factor: 6.829

2.  Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score.

Authors:  Piers Klein; Liqi Shu; Thanh N Nguyen; James E Siegler; Setareh Salehi Omran; Alexis N Simpkins; Mirjam Heldner; Adam de Havenon; Hugo J Aparicio; Mohamad Abdalkader; Marios Psychogios; Maria Cristina Vedovati; Maurizio Paciaroni; Rascha von Martial; David S Liebeskind; Diana Aguiar de Sousa; Jonathan M Coutinho; Shadi Yaghi
Journal:  J Stroke       Date:  2022-09-30       Impact factor: 8.632

3.  Field Synopsis of the Role of Sex in Stroke Prediction Models.

Authors:  Jessica K Paulus; Lana Y H Lai; Christine Lundquist; Ali Daneshmand; Hannah Buettner; Jennifer S Lutz; Gowri Raman; Benjamin S Wessler; David M Kent
Journal:  J Am Heart Assoc       Date:  2016-05-05       Impact factor: 5.501

4.  A Practical Score for Prediction of Outcome After Cerebral Venous Thrombosis.

Authors:  Miguel A Barboza; Erwin Chiquete; Antonio Arauz; Marlon Merlos-Benitez; Alejandro Quiroz-Compeán; Fernando Barinagarrementería; Carlos Cantú-Brito
Journal:  Front Neurol       Date:  2018-10-22       Impact factor: 4.003

  4 in total

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