• Login
    View Item 
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Population and Quantitative Health Sciences
    • Population and Quantitative Health Sciences Publications
    • View Item
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Population and Quantitative Health Sciences
    • Population and Quantitative Health Sciences Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of eScholarship@UMassChanCommunitiesPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsThis CollectionPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywords

    My Account

    LoginRegister

    Help

    AboutSubmission GuidelinesData Deposit PolicySearchingAccessibilityTerms of UseWebsite Migration FAQ

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Searching for an improved clinical comorbidity index for use with ICD-9-CM administrative data

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Publisher version
    View Source
    Access full-text PDFOpen Access
    View Source
    Check access options
    Check access options
    Authors
    Ghali, William A.
    Hall, Ruth E.
    Rosen, Amy K.
    Ash, Arlene S.
    Moskowitz, Mark A.
    UMass Chan Affiliations
    Department of Quantitative Health Sciences
    Document Type
    Journal Article
    Publication Date
    1996-03-01
    Keywords
    Aged
    Comorbidity
    Coronary Artery Bypass
    Coronary Disease
    Female
    Hospital Mortality
    Humans
    Male
    Middle Aged
    Models, Statistical
    Multivariate Analysis
    Reproducibility of Results
    Biostatistics
    Epidemiology
    Health Services Research
    Show allShow less
    
    Metadata
    Show full item record
    Link to Full Text
    http://dx.doi.org/10.1016/0895-4356(95)00564-1
    Abstract
    We studied approaches to comorbidity risk adjustment by comparing two ICD-9-CM adaptations (Deyo, Dartmouth-Manitoba) of the Charlson comorbidity index applied to Massachusetts coronary artery bypass surgery data. We also developed a new comorbidity index by assigning study-specific weights to the original Charlson comorbidity variables. The 2 ICD-9-CM coding adaptations assigned identical Charlson comorbidity scores to 90% of cases, and specific comorbidities were largely found in the same cases (kappa values of 0.72-1.0 for 15 of 16 comorbidities). Meanwhile, the study-specific comorbidity index identified a 10% subset of patients with 15% mortality, whereas the 5% highest-risk patients according to the Charlson index had only 8% mortality (p = 0.01). A model using the new index to predict mortality had better validated performance than a model based on the original Charlson index (c = 0.74 vs. 0.70). Thus, in our population, the ICD-9-CM adaptation used to create the Charlson score mattered little, but using study-specific weights with the Charlson variables substantially improved the power of these data to predict mortality.
    Source
    J Clin Epidemiol. 1996 Mar;49(3):273-8. Link to article on publisher's site
    DOI
    10.1016/0895-4356(95)00564-1
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/47512
    PubMed ID
    8676173
    Related Resources
    Link to Article in PubMed
    ae974a485f413a2113503eed53cd6c53
    10.1016/0895-4356(95)00564-1
    Scopus Count
    Collections
    Population and Quantitative Health Sciences Publications

    entitlement

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Lamar Soutter Library, UMass Chan Medical School | 55 Lake Avenue North | Worcester, MA 01655 USA
    Quick Guide | escholarship@umassmed.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.