@article{cmara2013recurrence,
  title = {Recurrence after a First- ever Ischemic Stroke Development of a Clinical Prediction Rule},
  author = {Agustín Gómez de la Cámara and José Felipe Varona Arche and Paloma Ferrando Vivas and Jaime Díaz Guzmán and Silvia Vázquez Fernández del Pozo and Agustín Rivero Cuadradoand Félix Bermejo Pareja},
  year = 2013,
  url = {https://ibimapublishing.com/articles/RNIJ/2013/264063/},
  journal = {Research in Neurology: An International Journal},
  volume = 2013 (2013),
  pages = 13,
  doi = 10.5171/2013.264063,
  abstract = {Background: Cumulative risk of stroke recurrence is about 26% at five years, with overall mortality rate of 38%.  Objective: to develop a user-friendly clinical prediction algorithm of ischemic stroke recurrence to help in the design of long-term strategies for secondary prevention.  Design: Historical Cohort study.  Setting: Tertiary urban hospital-based practice. Patients: Subjects admitted to the hospital for a first-ever ischemic stroke. Measurements: Variables studied were clinical picture and management, previous vascular risk factors and comorbidity, Stroke subtype and severity. Predictors were determined by statistical models based on Cox regression and recursive partition analysis. The internal validity was calculated via boots trapping and its performance (predictive ability) by the statistic C. Results: 303 patients were analyzed. They were classified as having: 1) “high or very high” risk of recurrence (probability > 51%) (those with left ventricular hypertrophy/hypertensive cardiomyopathy or chronic kidney disease) (21% of patients; 2) ‘Intermediate’ risk (probability 21-50%) (44% of patients); and 3) ‘low’ risk (those with age under 70 years without left ventricular hypertrophy/hypertensive cardiomyopathy nor coronary heart disease or age over 70 years, but starting therapy with anticoagulants due to an underlying embolic condition) (probability},
  keywords = {Stroke; Clinical prediction rules; Prognostic research},
  note = Article ID: 264063
}