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. 2018 Oct 22:9:882.
doi: 10.3389/fneur.2018.00882. eCollection 2018.

A Practical Score for Prediction of Outcome After Cerebral Venous Thrombosis

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A Practical Score for Prediction of Outcome After Cerebral Venous Thrombosis

Miguel A Barboza et al. Front Neurol. .

Abstract

Background: Most patients with cerebral venous thrombosis (CVT) have independent survival in the short term. However, identification of high-risk individuals with an unfavorable outcome is a challenging task. We aimed to develop a CVT grading scale (CVT-GS) to aid in the short-term clinical decision-making. Methods: We included 467 consecutive patients with CVT who were hospitalized from 1981 to 2015 in two third-level referral hospitals. Factors associated with 30-day mortality were selected with bivariate analyses to integrate a Cox proportional-hazards model to determine components of the final scoring. After the scale was configured, the prognostic performance was tested for prediction of short-term death or moderately impaired to death [modified Rankin scale (mRS) > 2]. CVT-GS was categorized as mild, moderate or severe for the prediction of 30-day fatality rate and a probability of mRS > 2. Results: The 30-day case fatality rate was 9.0%. The CVT-GS (0-13 points; more points predicting poorer outcomes) was composed of parenchymal lesion size > 6 cm (3 points), bilateral Babinski signs (3 points), male sex (2 points), parenchymal hemorrhage (2 points), and level of consciousness (coma: 3 points, stupor: 2, somnolence: 1, and alert: 0). CVT was categorized as mild (0-2 points, 0.4% fatality rate), moderate (3-7 points, 9.9% fatality rate), or severe (8-13 points, 61.4% fatality rate). The CVT-GS had an accuracy of 91.6% for the prediction of 30-day mortality and 85.3% for mRS > 2. Conclusions: CVT-GS is a practical clinical tool for prediction of outcome after CVT. This score may aid in clinical decision-making and could serve to stratify patients enrolled in clinical trials.

Keywords: cerebral venous thrombosis; mortality; outcome; scale; stroke.

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Figures

Figure 1
Figure 1
mRS at 30 days after CVT according to CVT-GS severity category (A). Thirty-day case fatality rate and mRS > 2 according to the CVT-GS severity category (B).
Figure 2
Figure 2
Actuarial analyses with the Kaplan-Meier method for the survival probability (A) and the probability of attaining a mRS > 2 (B) at 30 days after CVT, according to the CVT-GS categories.
Figure 3
Figure 3
ROC curves for CVT-GS and ISCVT-RS accuracy analysis for the prediction of death (A) and mRS > 2 (B) at 30 days after CVT.
Figure 4
Figure 4
Positive (blue lines) and negative (red lines) post-test probability of mRS > 2 at 30 days according to different CVT-GS cut-off (A-F).

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