Prediction of Mortality in Patients Admitted In Surgical Intensive Care Unit Using Apache IV Score

M Umair Hashmi, Syed Mehdi, Saad Bubak


OBJECTIVE:  Mortality prediction of all the patients admitted in surgical intensive care unit using acute physiology and chronic health evaluation (APACHE) IV score and comparison of the score between survivors and non survivors.

STUDY DESIGN:  Descriptive study

PLACE AND DURATION OF STUDY: surgical intensive care unit B.V.H. Bahawalpur from August 2016 to March 2017.

Methodology: All the patients having age above 12 years admitted in surgical ICU were included in this study. The demographic data of the patients was recorded. At the time of admission APACHE IV score of all the patients was calculated .For prediction of survival and mortality the score of survivors and non survivors was compared.

RESULTS: the age of these patients ranged from 16 to 65 years (mean 48.5) with 80 (57%) male patients and 60 (43%) female patients. The mean APACHE score of these patients was 38.35+- 11.65 ranging from 11 to 60 .76 patients (54.28%) survived and 64(45.71%) died.with respect to gender 38 (47.5%) males out of 80 and 26(43.33%) females out of 60 did not survive. The mortality increase with an increase in APACHE IV score, so it is good for application among the surgical ICU patients.

Conclusion:  APACHE IV SCORE is good for application in predicting mortality among the surgical ICU patients.


APACHE IV. Intensive Care Unit (ICU). Mortality prediction.

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