• DocumentCode
    515165
  • Title

    CCERW: A new prediction rule to identify treatment failure patients with community-acquired pneumonia for middle aged and elderly

  • Author

    Jiansheng, Li ; Zhengkun, Hou ; Suyun, Li ; Xueqing, Yu ; Minghang, Wang

  • Author_Institution
    Geriatric Dept., Traditional Chinese Med., Zhengzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    1023
  • Lastpage
    1029
  • Abstract
    To develop and validate a clinical prediction rule to identify treatment failure patients with community-acquired pneumonia(CAP) for middle aged and elderly in China, data from the patients aged ¿ 45 yrs with CAP in derivation cohort, internal validation cohort and external validation cohort were analysed by the methods of univariate analysis, multivariate analysis and receiver operating curve. The results showed a prediction rule CCERW based on five independent factors (i.e., confusion; creatinine <60 ¿mol/L; electrolyte disturbances; respiratory failure; WBC > 7.5 × 109/L) which correlated with treatment failure had better predictive capability than PSI, CURB65 and CRB65, and can be used in middle aged and elderly patients with CAP of Han people in China.
  • Keywords
    diseases; electrolytes; geriatrics; patient treatment; pneumodynamics; China; community-acquired pneumonia; elderly patient; electrolyte disturbances; external validation cohort; internal validation cohort; middle aged patient; multivariate analysis; receiver operating curve; respiratory failure; treatment failure patients; univariate analysis; Aging; Blood pressure; Educational institutions; Failure analysis; Hospitals; Lungs; Medical diagnostic imaging; Medical treatment; Mercury (metals); Senior citizens; Aged; Community-acquired Pneumonia; Middle Aged; Outcome; Prediction Rule; Prognosis; Treatment Failure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics Systems and Intelligent Management, 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-7331-1
  • Type

    conf

  • DOI
    10.1109/ICLSIM.2010.5461110
  • Filename
    5461110