 |
English
|
正體中文
|
简体中文
|
Post-Print筆數 : 27 |
Items with full text/Total items : 113648/144635 (79%)
Visitors : 51576865
Online Users : 932
|
|
|
Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/76094
|
| Title: | A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer |
| Authors: | Chiang, J.-K.;Cheng, Yu Hsiang;Koo, M.;Kao, Y.-H.;Chen, C.-Y.
鄭宇翔 |
| Contributors: | 統計系 |
| Keywords: | accuracy;adult;advanced cancer;aged;article;breathing rate;cancer grading;cancer patient;cancer survival;clinical feature;computer aided design;computer analysis;controlled study;demography;edema;female;fever;heart rate;hospice patient;human;intermethod comparison;jaundice;major clinical study;male;prediction;probability;process development;process model;receiver operating characteristic;statistical model;terminal disease;computer assisted diagnosis;hospice care;hospitalization;middle aged;neoplasm;palliative therapy;patient care planning;prognosis;prospective study;survival;Taiwan;Adult;Aged;Diagnosis, Computer-Assisted;Female;Hospice Care;Humans;Logistic Models;Male;Middle Aged;Neoplasms;Palliative Care;Patient Care Planning;Prognosis;Prospective Studies;ROC Curve;Severity of Illness Index;Survival Analysis;Taiwan |
| Date: | 2010-01 |
| Issue Date: | 2015-06-29 17:13:15 (UTC+8) |
| Abstract: | Objective: 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. Methods: 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. Results: We estimated the probability dying within 7 days of hospice admission using the logistic function, P = Exp(βx)/[1 + Exp(βx)]. 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 2 probability of dying within 7 days)] = 26.52 + 0.77 × (male = 1, female = 0) + 0.59 × (cancer, liver = 1, others = 0) + 0.82 × (ECOG score) + 0.59 × (jaundice, yes = 1, no = 0) + 0.54 × (Grade 3 edema = 1, others = 0) + 0.95 × (fever, yes = 1, no = 0) + 0.07 × (respiratory rate, as per minute) + 0.01 × (heart rate, as per minute) 2 0.92 × (intervention tube = 1, no = 0) 2 0.37 × (mean muscle power). Conclusions: We proposed a computer-assisted estimated probability formula for predicting dying within 7 days of hospice admission in terminal cancer patients. © 2010 The Author(s). |
| Relation: | Japanese Journal of Clinical Oncology, 40(5), 論文編號 hyp188, 449-455 |
| Data Type: | article |
| DOI 連結: | http://dx.doi.org/10.1093/jjco/hyp188 |
| DOI: | 10.1093/jjco/hyp188 |
| Appears in Collections: | [統計學系] 期刊論文
|
Files in This Item:
| File |
Description |
Size | Format | |
|---|
| index.html | | 0Kb | HTML2 | 993 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|
著作權政策宣告 Copyright Announcement1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.
2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(
nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(
nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
