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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/4787


    Title: A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer
    Authors: Chiang, JK;Cheng, YH;Koo, M;Kao, YH;Chen, CY
    Contributors: Division of Gerontology Research
    Abstract: The aim of the present study is to compare the accuracy in using laboratory data or clinical factors, or both, in predicting probability of dying within 7 days of hospice admission in terminal cancer patients. We conducted a prospective cohort study of 727 patients with terminal cancer. Three models for predicting the probability of dying within 7 days of hospice admission were developed: (i) demographic data and laboratory data (Model 1); (ii) demographic data and clinical symptoms (Model 2); and (iii) combination of demographic data, laboratory data and clinical symptoms (Model 3). We compared the models by using the area under the receiver operator curve using stepwise multiple logistic regression. We estimated the probability dying within 7 days of hospice admission using the logistic function, P = Exp(beta x)/[1 + Exp(beta x)]. The highest prediction accuracy was observed in Model 3 (82.3%), followed by Model 2 (77.8%) and Model 1 (75.5%). The log[probability of dying within 7 days/(1 - probability of dying within 7 days)] = -6.52 + 0.77 x (male = 1, female = 0) + 0.59 x (cancer, liver = 1, others = 0) + 0.82 x (ECOG score) + 0.59 x (jaundice, yes = 1, no = 0) + 0.54 x (Grade 3 edema = 1, others = 0) + 0.95 x (fever, yes = 1, no = 0) + 0.07 x (respiratory rate, as per minute) + 0.01 x (heart rate, as per minute) - 0.92 x (intervention tube = 1, no = 0) - 0.37 x (mean muscle power). We proposed a computer-assisted estimated probability formula for predicting dying within 7 days of hospice admission in terminal cancer patients.
    Date: 2010-05
    Relation: Japanese Journal of Clinical Oncology. 2010 May;40(5):449-455.
    Link to: http://dx.doi.org/10.1093/jjco/hyp188
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0368-2811&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000277448600010
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77952577749
    Appears in Collections:[陳慶餘(2006-2010)] 期刊論文

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