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Related Experiment Videos

A scoring system for ascertainment of incident stroke; the Risk Index Score (RISc).

T A Kass-Hout1, L A Moyé, M A Smith

  • 1Department of Biostatistics, Rollins School of Public Health, Emory University, 3375 NE Expressway, Koger Center/Harvard Building, Atlanta, GA 30341, USA. tkassho@emory.edu

Methods of Information in Medicine
|February 17, 2006
PubMed
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A new Risk Index Score (RISc) algorithm accurately identifies potential stroke cases from hospital records. This validated scoring system offers a rapid, efficient method for epidemiologic stroke investigations.

Area of Science:

  • Neurology
  • Epidemiology
  • Biostatistics

Background:

  • Accurate ascertainment of incident stroke cases is crucial for epidemiological studies.
  • Existing methods for stroke case identification from medical records can be time-consuming and resource-intensive.

Purpose of the Study:

  • To develop and validate a computer-based statistical algorithm, the Risk Index Score (RISc), for identifying incident stroke cases.
  • To translate the RISc algorithm into a simple scoring system for use with hospital admission records.

Main Methods:

  • The RISc algorithm was developed using prospective data from the Brain Attack Surveillance in Corpus Christi (BASIC) project.
  • Statistical validation involved assessing the concordance of RISc ascertainment with physician/abstractor review on independent datasets.

Related Experiment Videos

  • A multivariable logistic model, goodness-of-fit, and ROC analyses were employed for algorithm development and evaluation.

    • Main Results:

    • RISc was developed on a training set of 1718 patients and validated on 858 patients.
    • The algorithm demonstrated good calibration and discrimination, effectively distinguishing potential stroke cases.
    • Higher RISc values correlated with increased risk of potential stroke.

    Conclusions:

    • A rapid, easy, efficient, and accurate method (RISc) for ascertaining incident stroke cases from hospital admission records was developed and validated.
    • The statistical validation supports the use of RISc for epidemiologic investigations.
    • Further clinical validation in community hospital settings is recommended.