Advances in Consumer Research
Issue:5 : 2784-2792
Research Article
APACHE II scoring system assessment in trauma victims- Shar Hospital- Intensive care unit- Sulaimani City- Kurdistan Region- Iraq
Received
Sept. 1, 2025
Revised
Oct. 3, 2025
Accepted
Nov. 19, 2025
Published
Nov. 21, 2025
Abstract

Background and Objectives:

Trauma is one of the leading causes of morbidity and mortality worldwide, especially among young adults. Accurate assessment of severity is essential for timely triage, effective management, and prediction of outcomes. The Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system, although originally developed for general intensive care populations, has increasingly been applied to trauma patients.

Patients, materials and methods:

A prospective case series was conducted from March to July 2024, including thirty-four trauma patients aged sixteen years and older who required admission to the intensive care unit. Demographic, clinical, and laboratory variables were collected within the first twenty-four hours of admission, and APACHE II scores were calculated. Patients were monitored until discharge or death. Statistical analysis was performed using the Statistical Package for the Social Sciences version 26, and a P-value of 0.05 or less was considered significant.

Results:

Most patients were male (91%) and below thirty years of age (50%). Head trauma (41.1%) and multiple injuries (38.2%) were the most common injury patterns. Metabolic acidosis was the most frequent acid–base disorder (44.1%). The mean Glasgow Coma Scale score was 8.6. The mean APACHE II score was 14.4, corresponding to a predicted mortality rate of 21.3 percent, with no significant gender differences.

Conclusion:

The current work findings are largely in line with international data, especially from trauma-focused studies in Low- and Middle-Income Countries. The patterns of young male predominance, high rates of head trauma, limited comorbidities, and common acid-base disturbances reflect trends reported globally. Differences in gender impact may not be apparent due to small sample size but are worth exploring in larger, multicenter studies

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