fa مقایسه سیستم های نمره دهی آپاچی در پیش‌بینی مرگ‌ومیر در بخش مراقبت های ویژه: یک مرور نظام‌مند و فرا تحلیل پرستاري Nursery مروری Review <div style="text-align: justify;"><strong><em>Background &&nbsp;Objective: </em></strong>APACHE scoring systems are performed to predict the mortality rate of patients admitted to the hospital&#39;s intensive care unit (ICU). At present, APACHE II, III and VI are used in ICUs of Iranian hospitals. Due to the high mortality rate in the ICU, compared to other parts of the hospital and the use of APACHE systems in predicting the mortality rate, determining the best predictor is very important. Therefore, this study was performed to determine the best system for predicting the mortality of patients admitted to the ICU.<br> <strong><em>Materials & Methods: </em></strong>An electronic search in SID, Magiran, PubMed, Scopus, ScienceDirect and Google Scholar databases was performed until November 2019 using keywords. The list of key study sources was also reviewed to find studies that may not have been found through electronic search. The quality of studies was assessed with STROBE checklist. Data analysis was performed using CMA software version 2.<br> <strong><em>Results: </em></strong>21 studies involving 3576 patients were meta-analyzed. 14 studies used the APACHE II, three studied used Apache III, and four studied used Apache IV. The meta-analyses found that the final estimate of the accuracy of the APACHE II in predicting mortality was 0.052 (CI = 0.030; 0.091), APACHE III 0.09 (CI = 0.029; 0.245), and APACHE IV 0.088 (C.I = 0.031; 0.228).<br> <strong><em>Conclusion</em></strong><strong>: </strong>The findings of this study showed that the APACHE III had more accuracy in predicting the mortality rate of patients admitted to the ICU compared to APACHE II and IV. The ward has special care. It is recommended that this scoring system be used in hospitals to prioritize patients admitted to the ICU.<br> &nbsp;<br> &nbsp;</div> Mortality, APACHE, Intensive care unit 2703 2715 http://jabs.fums.ac.ir/browse.php?a_code=A-10-2524-1&slc_lang=fa&sid=1 Saeed Khorramnia سعید خرم نیا msaeed.khorramnia@gmail.com 100319475328460023884 100319475328460023884 No Department of Anesthesiology, Faculty of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran گروه بیهوشی، دانشکده پزشکی، دانشگاه علوم پزشکی رفسنجان، رفسنجان، ایران Zoubin Souri زوبین سوری zoubinsouri@gmail.com 100319475328460023885 100319475328460023885 No Department of Radiology, Faculty of Medicine, Guilan University of Medical Sciences, Rasht, Iran گروه رادیولوژی، دانشکده پزشکی، دانشگاه علوم پزشکی گیلان، رشت، ایران Negin Bashari نگین بشری Negin.bashari71@gmail.com 100319475328460023886 100319475328460023886 No Department of Health Economics, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran گروه اقتصاد بهداشت، دانشکده بهداشت، دانشگاه علوم پزشکی تهران، ایران Farshid Farahbakhsh فرشید فرح بخش farshid.f6@gmail.com 100319475328460023887 100319475328460023887 No Department of Anesthesiology, Faculty of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran گروه بیهوشی، دانشکده پزشکی، دانشگاه علوم پزشکی رفسنجان، رفسنجان، ایران Samira Khorramnia سمیرا خرم نیا samira.khorramnia@yahoo.com 100319475328460023888 100319475328460023888 No Guilan University of Medical Sciences, Rasht, Iran دانشگاه علوم پزشکی گیلان، رشت، ایران Samira Koohestani سمیرا کوهستانی sk.koohestani@gmail.com 100319475328460023889 100319475328460023889 Yes Rafsanjan University of Medical Sciences, Rafsanjan, Iran دانشگاه علوم پزشکی رفسنجان، رفسنجان، ایران