Mortality Rate Prediction in the Critically Ill Patients by Using Apache-II Scoring Tool
DOI:
https://doi.org/10.37762/jgmds.10-1.409Keywords:
APACHE, Critically ill patients,, Adult patient, Mortality Rate, Intensive Care UnitAbstract
OBJECTIVES
The study’s objective was to implement a methodological approach, "Acute Physiological and Chronic Health Evaluation II (APACHE-II),” to classify critically ill patients based on severity.
METHODOLOGY
A retrospective study design was conducted at Shaukat Khanum Memorial Cancer Hospital Lahore, Pakistan, from May 2019 to May 2020. A pilot study of 6 months was conducted by reviewing the medical record of 30 adult patients following convenient sampling after the approval of the proposal by ASRB/IRB of Shaukat Khanum hospital. The record of both male and female patients was studied, while no record of paediatric or adult patients outside the ICU was studied. Each patient’s severity score was obtained using the patient’s parameters with the help of the APACHE-II table.
RESULTS
Among the patients, three out of 30 scored 25, 29 and 30 on APACHE-II. These patients later passed away in ICU. This indicates that the mortality rate increases with an increase in the APACHE-II score. Thus, the scoring system is very beneficial in predicting adult ICU patients' mortality rate.
CONCLUSION
It is concluded that APACHE II is one of the best severity scoring systems in predicting the critical condition of patients.
Downloads
Metrics
References
Marshall JC, Bosco L, Adhikari NK, Connolly B, Diaz JV, Dorman T, et al. What is an intensive care unit? A report of the task force of the World Federation of Societies of Intensive and Critical Care Medicine. J Crit Care [Internet]. 2017;37:270–6
Weil MH, Tang W. From intensive care to critical care medicine: a historical perspective: A historical perspective. Am J Respir Crit Care Med [Internet]. 2011;183(11):1451–3
Care I, Unit CM. Intensive care ser-vice model: NSW level 4 adult intensive care units. Agency for Clinical Innovation (ACI). 2015;
Varghese YE, Kalaiselvan MS, Renuka MK, Arunkumar AS. Comparison of acute physiology and chronic health evaluation II (APACHE II) and acute physiology and chronic health evaluation IV (APACHE IV) severity of illness scoring systems, in a multidisciplinary ICU. J Anaesthesiol Clin Pharmacol [Internet]. 2017;33(2):248–53
Hashmi M, Asghar A, Shamim F, Khan FH. Validation of acute physiologic and chronic health evaluation II scoring system software developed at The Aga Khan University, Pakistan. Saudi J Anaesth [Internet]. 2016;10(1):45–9
Teoh GS, Mah KK, abd Majid S, Streram, Yee MK. APACHE II: preliminary report on 100 intensive care unit cases in University Hospital, Kuala Lumpur. Med J Malaysia. 1991;46(1):72–81
Akavipat P, Thinkhamrop J, Thinkhamrop B, Sriraj W. Acute physiology and chronic health evaluation (APACHE) II score-the clinical predictor in neurosurgical intensive care unit. Acta Clinica Croatica. 2019;58(1)
Bouch DC, Thompson JP. Severity scoring systems in the critically ill. Contin Educ Anaesth Crit Care Pain [Internet]. 2008;8(5):181–5
Donnino MW, Salciccioli JD, Dejam A, Giberson T, Giberson B, Cristia C, et al. APACHE II scoring to predict outcome in post-cardiac arrest. Resuscitation [Internet]. 2013;84(5):651–6
Godinjak A, Iglica A, Rama A, Tančica I, Jusufović S, Ajanović A, et al. Predictive value of SAPS II and APACHE II scoring systems for patient outcome in a medical intensive care unit. Acta Med Acad [Internet]. 2016;45(2):97–103
Kumar H, Singh Griwan A. A comparison of APACHE II, BISAP, Ranson’s score and modified CTSI in predicting the severity of acute pancreatitis based on the 2012 revised Atlanta Classification. Gastroenterology report. 2018;6(2):127–31
Civetta JM, Hudson-Civetta JA, Nelson LD. Evaluation of APACHE II for cost containment and quality assurance. Ann Surg [Internet]. 1990;212(3):266–74; discussion 274-6
Choi JW, Park YS, Lee YS, Park YH, Chung C, Park DI, et al. The ability of the Acute Physiology and Chronic Health Evaluation (APACHE) IV score to predict mortality in a single tertiary hospital. Korean J Crit Care Med [Internet]. 2017;32(3):275–83
Hansted AK, Møller MH, Møller AM, Vester-Andersen M. APACHE II score validation in emergency abdominal surgery. A post hoc analysis of the InCare trial. Acta Anaesthesiol Scand [Internet]. 2020;64(2):180–7
Cardoso LG dos S, Chiavone PA. The APACHE II measured on patients’ discharge from the Intensive Care Unit in the prediction of mortality. Rev Lat Am Enfermagem [Internet]. 2013;21(3):811–9
Hu Y, Zhang X, Liu Y, Yan J, Li T, Hu A. APACHE IV is superior to MELD scoring system in predicting prognosis in patients after orthotopic liver transplantation. Clin Dev Immunol [Internet]. 2013;2013:809847
Saha A, Dewangan C, Narasimhan H, Sampath S, Agarwal S. Learning score systems for patient mortality prediction in intensive care units via orthogonal matching pursuit. In: 2014 13th International Conference on Machine Learning and Applications. IEEE; 2014. p. 93–8
Zali AR, Seddighi AS, Seddighi A, Ashrafi F. Comparison of the acute physiology and chronic health evaluation score (APACHE) II with GCS in predicting hospital mortality of neurosurgical intensive care unit patients. Glob J Health Sci [Internet]. 2012 [cited 2022 Dec 9];4(3):179–84
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Naeem Ullah, Rahmat Ullah, Adil Zareef, Rahman Ud Din, Jamil Akhter, Aamir Ali Khan
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
