Mortality Rate Prediction in the Critically Ill Patients by Using Apache-II Scoring Tool

Abstract

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.