Prognostic Value of Arterial Blood Gas Indices Regarding the Severity of Traumatic Injury and Fractures of the Femur and Pelvis

Which criteria is a better predictor of ICU admission in trauma patients? An artificial neural network approach

PURPOSE

One of the most critical concerns in the intensive care unit (ICU) section is identifying the best criteria for entering patients to this part. This study aimed to predict the best compatible criteria for entering trauma patients in the ICU section.

METHOD

The present study was a historical cohort study. The data were collected from 2448 trauma patients referring to Shahid Rajaee Hospital between January 2015 and January 2017 in Shiraz, Iran. The artificial neural network (ANN) models with cross-validation and logistic regression (LR) with a backward method was used for data analysis. The final analysis was performed on a total of 958 patients who were transferred to the ICU section.

RESULTS

Based on the present results, the motor component of the GCS score at each cutoff point had the highest importance. The results also showed better performance for the AUC and accuracy rate for ANN compared with LR.

CONCLUSION

The most critical indicators in predicting the optimal use of ICU services in this study were the Motor component of the GCS. Results revealed that the ANN had a better performance than the LR in predicting the main outcomes of the traumatic patients in both the accuracy and AUC index. Trauma section surgeons and ICU specialists will benefit from this study's results and can assist them in making decisions to predict the patient outcomes before entering the ICU.

Relationship Between Initial Arterial Blood Gases and Coagulation Profiles - Analyzing the Prognosis and Outcomes in Patients with Multiple Injuries/Trauma

Purpose

Trauma is recognized as a significant health concern across the world. The increase in the mortality rate of multiple trauma (MT) patients serves as a major issue for health-care providers. The study investigates the relationship between the initial arterial blood gases and coagulation profiles among the multiple injured/trauma patients.

Patients and Methods

A retrospective study design was used, and 137 acute trauma patients' data were included from the King Abdullah University Hospital (KAUH) from 1 January 2014 to 1 October 2017.

Results

The results showed that patients were mainly male (79.6%) and had RTA (71.5%). They had a normal pH (50.4%) and pCO2 (68.6%) while decreasing HCO3 (51.1%). An increasing level of pCO2 (45%) along with PT (28%), PTT (17%) and INR (23%) is observed. It also showed a decreasing level of platelets (39%). The overall findings showed a close association of the blood gases and coagulation indicators.

Conclusion

The study concludes that to control the coagulation markers, the blood gases of the patients should be screened and monitored.