Investigation of the predictive power of death of ISS index in traumatic patients in Imam Reza Hospital of Tabriz in 2018
Abstract
Trauma is a condition that completely dependent on time. Especially management, resuscitation, and determining the condition of multi-trauma patients in the early hours after the injury is essential. The ideal diagnostic model for estimating the severity of trauma should be clinically sensitive, well-calibrated, and able to include a wide range of patients. This study was conducted to investigate the predictive power of the ISS index in trauma patients in Imam Reza Hospital (AS) in Tabriz city in 2018.
Materials and Methods: Checklist based on information related to ISS (Injury Severity Score), Abbreviated Injury Scale (AIS), history of previous diseases (Comorbidity), and other background and confounding variables that affect mortality. Then, based on the opinion of experts, the variables that cannot be collected in the mentioned hospitals were removed, and the variables that affect mortality and are not included in the questionnaire were added to the questionnaire. In this way, the final questionnaire was made. Then the ISS score was calculated and evaluated based on the desired formula.
Results: This cross-sectional study was conducted to investigate the predictive power of the ISS index in trauma patients at Imam Reza Hospital (AS) in Tabriz city in 2018 on 170 patients. The average age of the patients was 39.29 ± 21.14 years and 71.2% of them were male. Most of the patients were referred to the hospital from the scene of the accident using the state ambulance and 115. The average score of ISS in deceased patients was 38.61 ± 17.12 and in surviving patients was 9.73 ± 1.46, which was a statistically significant difference (p=0.001). The frequency of 24-hour mortality of patients after visiting the emergency department is 8.2% and the frequency of 30-day mortality of patients is 12.9%. In the evaluation of 24-hour mortality prediction by the ISS tool, AUC value was 0.977 (p=0.001; 95% CI: 0.955 - 0.999), which is the cut point of the ISS tool with 100% sensitivity and 58.3% specificity was higher/equal to 10.