A Practical Score for Prediction of Outcome After Cerebral Venous Thrombosis

Miguel A Barboza1,2, Erwin Chiquete3, Antonio Arauz1

  • 1Stroke Clinic, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.

Frontiers in Neurology
|November 9, 2018
PubMed

Insights

A new Cerebral Venous Thrombosis Grading Scale (CVT-GS) helps predict short-term outcomes. This tool identifies high-risk patients, improving clinical decision-making and patient stratification for trials.

Area of Science:

  • Neurology
  • Clinical Medicine
  • Medical Research

Background:

  • Cerebral Venous Thrombosis (CVT) patients often survive short-term, but predicting unfavorable outcomes remains challenging.
  • Accurate prognostication is crucial for timely clinical intervention and management.
  • Developing a reliable grading scale can aid in identifying high-risk individuals.

Purpose of the Study:

  • To develop and validate a Cerebral Venous Thrombosis Grading Scale (CVT-GS).
  • To aid in short-term clinical decision-making for CVT patients.
  • To predict 30-day mortality and functional outcomes (modified Rankin Scale > 2).

Main Methods:

  • Retrospective analysis of 467 consecutive CVT patients hospitalized between 1981 and 2015.
  • Bivariate analyses identified factors associated with 30-day mortality.
  • Cox proportional-hazards model integrated factors into the CVT-GS, which was validated for predicting outcomes.

Main Results:

  • The 30-day case fatality rate was 9.0%.
  • The CVT-GS incorporates parenchymal lesion size, Babinski signs, sex, hemorrhage, and consciousness level.
  • Mild, moderate, and severe CVT-GS categories showed distinct 30-day fatality rates (0.4%, 9.9%, and 61.4%, respectively).
  • CVT-GS achieved 91.6% accuracy for predicting 30-day mortality and 85.3% for predicting mRS > 2.

Conclusions:

  • The CVT-GS is a practical clinical tool for predicting short-term outcomes in CVT patients.
  • This grading scale can assist in clinical decision-making and patient stratification for clinical trials.
  • The CVT-GS offers valuable prognostic information for managing CVT.

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