• Login
    View Item 
    •   Home
    • University Colleges
    • SUNY Brockport
    • Faculty/Staff Publications
    • Brockport Mathematics Faculty Publications
    • View Item
    •   Home
    • University Colleges
    • SUNY Brockport
    • Faculty/Staff Publications
    • Brockport Mathematics Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of SUNY Open Access RepositoryCommunitiesPublication DateAuthorsTitlesSubjectsDepartmentThis CollectionPublication DateAuthorsTitlesSubjectsDepartmentAuthor ProfilesView

    My Account

    LoginRegister

    Campus Communities in SOAR

    Alfred State CollegeBrockportBroomeCantonDownstateDutchessEmpireFarmingdaleFinger LakesFredoniaMaritimeNew PaltzNiagaraOld WestburyOneontaOnondagaOptometryOswegoPlattsburghPurchase CollegePolytechnic InstituteSUNY Office of Workforce Development and Upward MobilitySUNY PressUpstate Medical

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Derivation and Validation of Clinical Phenotypes for COPD: A Systematic Review

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    mth_facpub/13/fulltext (1).pdf
    Size:
    983.2Kb
    Format:
    PDF
    Download
    Average rating
     
       votes
    Cast your vote
    You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Author
    Pinto, Lancelot M.
    Alghamdi, Majed
    Benedetti, Andrea
    Zaihra, Tasneem
    Landry, Tara
    Bourbeau, Jean
    Keyword
    COPD Phenotypes
    Phenotypes
    Cluster Analysis
    Systematic Review
    Journal title
    Respiratory Research
    Date Published
    2015-01-01
    Publication Volume
    16
    Publication Issue
    50
    
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/20.500.12648/2605
    Abstract
    Background: The traditional classification of COPD, which relies solely on spirometry, fails to account for the complexity and heterogeneity of the disease. Phenotyping is a method that attempts to derive a single or combination of disease attributes that are associated with clinically meaningful outcomes. Deriving phenotypes entails the use of cluster analyses, and helps individualize patient management by identifying groups of individuals with similar characteristics. We aimed to systematically review the literature for studies that had derived such phenotypes using unsupervised methods. Methods: Two independent reviewers systematically searched multiple databases for studies that performed validated statistical analyses, free of definitive pre-determined hypotheses, to derive phenotypes among patients with COPD. Data were extracted independently. Results: 9156 citations were retrieved, of which, 8 studies were included. The number of subjects ranged from 213 to 1543. Most studies appeared to be biased: patients were more likely males, with severe disease, and recruited in tertiary care settings. Statistical methods used to derive phenotypes varied by study. The number of phenotypes identified ranged from 2 to 5. Two phenotypes, with poor longitudinal health outcomes, were common across multiple studies: young patients with severe respiratory disease, few cardiovascular co-morbidities, poor nutritional status and poor health status, and a phenotype of older patients with moderate respiratory disease, obesity, cardiovascular and metabolic co-morbidities. Conclusions: The recognition that two phenotypes of COPD were often reported may have clinical implications for altering the course of the disease. This review also provided important information on limitations of phenotype studies in COPD and the need for improvement in future studies.
    Citation
    Respiratory Research 2015, 16 :50 doi:10.1186/s12931-015-0208-4 The electronic version of this article is the complete one and can be found online at: http://respiratory-research.com/content/16/1/50 © 2015 Pinto et al.
    DOI
    https://doi.org/10.1186/s12931-015-0208-4
    Description
    This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver applies to the data made available in this article, unless otherwise stated. http://creativecommons.org/licenses/by/4.0 http://creativecommons.org/licenses/by/4.0 http://creativecommons.org/publicdomain/zero/1.0 --- Dr. Tasneem Zaihra was a member of the School of PH & OT, Faculty of Medicine, McGill University, Quebec, Canada and Division of Clinical Epidemiology, McGill University Health Centre, Montreal, Quebec, Canada when the article was written, and is now on the faculty of The College at Brockport.
    ae974a485f413a2113503eed53cd6c53
    https://doi.org/10.1186/s12931-015-0208-4
    Scopus Count
    Collections
    Brockport Mathematics Faculty Publications

    entitlement

     

    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    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.