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作者(中文):王寧道
作者(外文):WANG, NING-TAO
論文名稱(中文):以阿帕契II評分預測加護病房病人存活率:某北區區域教學醫院的經驗
論文名稱(外文):Using Apache II score to predict survival rate of ICU patient
指導教授(中文):余士迪
指導教授(外文):Yu, Shih-Ti
口試委員(中文):黃朝熙
紀志毅
學位類別:碩士
校院名稱:國立清華大學
系所名稱:高階經營管理碩士在職專班
學號:101075521
出版年(民國):103
畢業學年度:102
語文別:中文英文
論文頁數:24
中文關鍵詞:阿帕契評分系統死亡率存活的機率
外文關鍵詞:Apache scoremortalitysurvival rate
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論文摘要
阿帕契評分系統(APACHE score)是利用重症病患住進加護病房的客觀資料予以評分的系統。APACHE Ⅱ 於1985由Knaus等人所提出,主要評估病患的急性生理(APS)及慢性健康狀況,以量化的分數,分別疾病的嚴重程度,進一步預測死亡率。
東方人是否可以完全套用,或是可以用更少的指標即可達到預測的目的,尚待瞭解。尤其台灣的醫療機構層級各有不同,APACHE Ⅱ是否適合區域級醫院的使用,或是有較為簡易的指標,供醫療資源不足的區域,以較少的項目即能達成預測的目的。
資料來源:收集北部某區域級教學醫院內科加護病房住院病人,由2013年1月1日至2013年12月31日共323位病患的住院資料。住院24小時內APACHE Ⅱ的評分,配合病患此次住院的治療結果進行統計。
研究結果顯示:1. APACHE Ⅱ 總分愈高,存活的機率愈低,且APACHE Ⅱ總分每增加1分,則存活的機率降低0.013,其準確率為0.839。2. 急性生理評估系統APS分數愈高,則存活機率愈低,且APS每增加1分,則存活的機率降低0.013,其準確率為0.842。3.在APS單項中,以平均動脈壓、呼吸頻率、昏迷指數及動脈氧分壓等四項為顯著,分數愈高,存活率愈低,且四個單項之邊際效果均不同。

關鍵字:阿帕契評分系統、死亡率、存活的機率
ABSTRACT
APACHE Ⅱ score has been used as a tool for evaluation of severity of illness for ICU patients for three decades. It is also used for predicting the mortality rate for ICU patients. Different scoring system were developed over the years, however APACHE Ⅱwas the most popular one been used among all.
APACHE Ⅱ was developed by Knaus et al in 1985. The scoring system is primarily based on acute physiology score, age and chronic health evaluation, which can be added up and using the total score to predict mortality rate. However, whether the scoring system can be used in all levels of medical facilities in Taiwan still need to be evaluated. There may be a possibility that predicting mortality can be achieved by fewer items.
We have collected 323 patients who were admitted to medical ICU from Jan, 1st.2013 to Dec, 31st. 2013 at a regional teaching hospital in northern Taiwan to evaluate their Apache score in 24 hours and their end results of this admission.
The end results of this study revealed: 1.The higher Apache score is, the lower the survival rate. One point higher in Apache score decreases the survival by 0.013 with the accuracy rate of 0.839. 2. The survival rate decreases as every one point the APS increases by 0.013 with the accuracy rate of 0.842. 3. There are four single items , mean arterial pressure, respiratory rate, GCS coma scale, and arterial oxygenation are significant correlated with survival rate, the higher the score the lower the survival rate, with different marginal effects.


Keyword :Apache score、mortality、survival rate
目錄
論文摘要 I
ABSTRACT II
誌謝 III
目錄 IV
圖目錄 V
表目錄 VI
第壹章 緒論 1
第貳章 文獻回顧 6
第一節 重症加護病房特性及介紹 6
第二節 疾病嚴重程度評分系統的發展與應用 8
第三節 預測死亡率之相關文獻 10
第參章 研究方法 13
第肆章 實證結果 15
第伍章 結論與意涵 18
第一節 研究結論 18
第二節 研究建議 18
第三節 研究限制 19
參考文獻 20
附錄 22
第一節 醫療背景 22
第二節 病患入住加護病房流程 23


參考文獻
一、中文部份:
林淑照 (2008),『 加護病房 存活率預測之研究』,台灣護理學會第24次護理研究論文發表會, 台北:台北醫學大學。
林世崇、丁予安、曾春典、江志垣、江啟輝、唐高俊、謝凱生、蘇明勳、蔡清標、尹彙文(2001),『台灣加護病房住出院標準草案之共識』,中華民國重症醫學雜誌,3(3),189-210。
林淑萍、李奇學 、呂陽樞 、許玲女(2005),『比較邏輯斯迴歸模式與類神經網路模式對內科加護病房存活率之預測』,護理研究,14(4),306-314。
林澂(2004),『外科重症病人長期和短期存活之評估–心率變異度之線性與非線性分析』,陽明大學生理學研究所碩士論文,台北。
姜洪霆、林少琳、徐祥清、萬樹人、孔明河、劉俊鵬(2001),『藉APACHE-II 系統來預測心肌梗塞病患之院內死亡』,中華醫學雜誌, 64:9; 501-508.
紀慧瑩,(2003),『評分系統』簡報,台大:外科加護病房。取自2014年06月20 http://ntuh.sicu.org.tw/readfile.php?doc=reading&id= Scoring%20system
財團法人醫院評鑑暨醫療品質策進會醫院評鑑基準,2013。
顧乃平、黃經(1999),『實用內外科護理上冊』,台北:華杏機構叢書。

二、英文部份:
Chao, C. L. (2002), “Comparison of predictive accuracy among six prognosis systems for patient mortality in intensive care units,” Journal of the Formosan Medical Association, 101(6), 406-415.
Costa, J. I., J. L. Gomes do Amaral, M. Munechika, Y. Juliano, and J. G. Bezerra Fillho(1999), “Severity and prognosis in intensive care: Prospective application of the APACHE-II index,” Sao Paulo Medical Journal, 117, 205-214.
Delibegovic, S., S. Brkic, and S. Nuhbegovic (2009), “Possibility of simplification of APACHE Ⅱ scoring system in the prediction of the outcome in critically ill patients with perforated peritonitis,” Med Arh, 63(5):249-51.
Edmund, J. R., A. F. Mark, R. N. Craig, G. B. John, A. E. Virginia, and A. M. John (1998) , “Hypothermia in critically III trauma patients, ” Injury, 29(8), 605-608.
Ernest, P. G. and R. Harish (1988), “Survival prediction in the intensive care unit: A comparison of neural networks and binary log it regression,” Socio-Economic Planning Sciences, 32(3), 189-198.
Task Force of the American College of Critical Care Medicine, Society of Critical Care Medicine. Guidelines for intensive care unit admission, discharge, and triage. Task Force of the American College of Critical Care Medicine, Society of Critical Care Medicine. Crit Care Med. 1999 Mar;27(3):633-8.
Headley, J., R. Theriault, and T. L. Smith (1992), “Independent validation of APACHE-II severity in patients with breast cancer admitted to the intensive care unit,” Cancer, 70, 497-503.
Jeong, I., M. Kim, and J. Kim (2003), “Predictive accuracy of severity scoring system: A prospective cohort study using APACHE ⅡI in a Korean intensive care unit,” International Journal of Nursing Studies, 40, 219-226.
Knaus, W. A., E. A. Draper, D. P. Wanger, and J. E. Zimmerman (1985), “APACHE-II 32 severity of disease classification system,” Critical Care Medicine, 13, 818-828.
Kuo, H. S., J. H. Chuang, G. J. Tang, C. C. Hou, S. S. Chou, W. Y. Lui, F. K. P'eng (1999), “Development of a new prognostic system and validation of APACHE Ⅱ for surgical ICU mortality: a multicenter study in Taiwan,” Zhonghua Yi Xue Za Zhi (Taipei). 62(10), 673-81
Lim, S. C., A. C. Fok, and Y. Y. Ong (1996), “Patient outcome and intensive care resource allocation using APACHE-II,” Singapore Medical Journal, 37, 488-491.
Moreno, R. and P. Morais (1997), “Outcome predication in intensive care: Results of a prospective multicentre portugese study,” Intensive Care Medicine, 23, 177-186.
Naved, S. A., S. Siddiqui, and F. H. Khan (2011) “APACHE-II score correlation with mortality and length of stay in an intensive care unit,” Journal of the College of Physicians and Surgeons Pakistan, 21(1), 4-8
Tesdale, G. and B. Jennett (1974), “Assessment of come and impaired consciousness,” Lancet, 2, 81-83.
Wang, J. N., J. M.Wu and Y. J. Chen (2001), “Validity of the updated pediatric risk of mortality score﹙PRISM III﹚in predicting the probability of mortality in a pediatric intensive care unit, ” Acta Paediatr T.W, 42(6), 333-337.
 
 
 
 
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