Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/32266
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18076/20274 (89%)
Visitors : 4616273      Online Users : 1206
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/32266


    Title: Impact of grouping complications on mortality in traumatic brain injury: A nationwide population-based study
    Authors: Ho, Chung-Han
    Liang, Fu-Wen
    Wang, Jhi-Joung
    Chio, Chung-Ching
    Kuo, Jinn-Rung
    Contributors: Chi Mei Med Ctr, Dept Med Res
    Chia Nan Univ Pharm & Sci, Dept Hosp Hlth Care Adm
    Natl Cheng Kung Univ, Coll Med, Res Ctr Hlth Data
    Natl Cheng Kung Univ, Coll Med, Dept Publ Hlth
    Chi Mei Med Ctr, Dept Neurosurg
    Southern Taiwan Univ Sci & Technol, Dept Biotechnol
    Keywords: Insurance Research Database
    Acute Myocardial-Infarction
    Artificial Neural-Network
    In-Hospital Mortality
    Risk-Factors
    Sleep Disorders
    Ischemic-Stroke
    Taiwan
    Care
    Epidemiology
    Date: 2018-01-11
    Issue Date: 2019-11-15 15:47:25 (UTC+8)
    Publisher: PUBLIC LIBRARY SCIENCE
    Abstract: Traumatic brain injury (TBI) is an important health issue with high mortality. Various complications of physiological and cognitive impairment may result in disability or death after TBI. Grouping of these complications could be treated as integrated post-TBI syndromes. To improve risk estimation, grouping TBI complications should be investigated, to better predict TBI mortality. This study aimed to estimate mortality risk based on grouping of complications among TBI patients. Taiwan's National Health Insurance Research Database was used in this study. TBI was defined according to the International Classification of Diseases, Ninth Revision, Clinical Modification codes: 801-804 and 850-854. The association rule data mining method was used to analyze coexisting complications after TBI. The mortality risk of post-TBI complication sets with the potential risk factors was estimated using Cox regression. A total 139,254 TBI patients were enrolled in this study. Intracerebral hemorrhage was the most common complication among TBI patients. After frequent item set mining, the most common post-TBI grouping of complications comprised pneumonia caused by acute respiratory failure (ARF) and urinary tract infection, with mortality risk 1.55 (95% C. I.: 1.51-1.60), compared with those without the selected combinations. TBI patients with the combined combinations have high mortality risk, especially those aged < 20 years with septicemia, pneumonia, and ARF (HR: 4.95, 95% C. I.: 3.55-6.88). We used post-TBI complication sets to estimate mortality risk among TBI patients. According to the combinations determined by mining, especially the combination of septicemia with pneumonia and ARF, TBI patients have a 1.73-fold increased mortality risk, after controlling for potential demographic and clinical confounders. TBI patients aged<20 years with each combination of complications also have increased mortality risk. These results could provide physicians and caregivers with important information to increase their awareness about sequences of clinical syndromes among TBI patients, to prevent possible deaths among these patients.
    ???metadata.dc.relation.uri???: http://dx.doi.org/10.1371/journal.pone.0190683
    Relation: Plos One, v.13, n.1, e190683
    Appears in Collections:[Dept. of Hospital and Health (including master's program)] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    10.1371-journal.pone.0190683.pdf2080KbAdobe PDF307View/Open
    index.html0KbHTML1649View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback