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Related Experiment Videos

The Stroke Data Bank: design, methods, and baseline characteristics.

M A Foulkes1, P A Wolf, T R Price

  • 1National Institute of Neurological and Communicative Disorders and Stroke, Bethesda, Maryland 20892.

Stroke
|May 1, 1988
PubMed
Summary
This summary is machine-generated.

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The Stroke Data Bank collected prospective data on 1,805 stroke patients to improve diagnosis and prognosis. This study characterizes stroke subtypes, aiding future research and clinical evaluation.

Area of Science:

  • Neurology
  • Epidemiology
  • Clinical Research

Background:

  • The National Institute of Neurological and Communicative Disorders and Stroke established the Stroke Data Bank.
  • A multicenter project focused on prospective data collection for stroke patients.
  • Previous research highlighted the need for standardized stroke evaluation and prognostic factor identification.

Purpose of the Study:

  • To prospectively collect data on the clinical course and sequelae of stroke.
  • To establish a standard diagnostic clinical evaluation for stroke.
  • To identify prognostic factors and provide data for future stroke studies.

Main Methods:

  • Prospective data collection from 1,805 patients enrolled between July 1983 and June 1986.
  • Detailed medical and neurological history, along with hospitalization summaries.

Related Experiment Videos

  • Categorization of stroke subtypes including infarction, embolism, hemorrhage, and lacunes.
  • Main Results:

    • Baseline characterization of 1,805 patients admitted to the Stroke Data Bank.
    • Two-thirds of patients were admitted within 24 hours of stroke onset.
    • Data presented for various stroke subtypes: infarction, embolism, intracerebral hemorrhage, subarachnoid hemorrhage, and lacunes.

    Conclusions:

    • The Stroke Data Bank provides valuable data for understanding stroke.
    • The study outlines the utility and limitations of the collected data.
    • Characterization of stroke subtypes aids in clinical evaluation and future research planning.