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

OBJECTIVES The study’s objective was to implement a methodological approach, "Acute Physiological and Chronic Health Evaluation II (APACHE-II),” classify critically ill patients based on severity. METHODOLOGY A retrospective study design conducted at Shaukat Khanum Memorial Cancer Hospital Lahore, Pakistan, from May 2019 2020. pilot of 6 months by reviewing the medical record 30 adult following convenient sampling after approval proposal ASRB/IRB hospital. both male female studied, while no paediatric or outside ICU studied. Each patient’s severity score obtained using parameters with help APACHE-II table. RESULTS Among patients, three out scored 25, 29 APACHE-II. These later passed away in ICU. This indicates that mortality rate increases an increase score. Thus, scoring system is very beneficial predicting patients' rate. CONCLUSION It concluded APACHE one best systems critical condition patients.