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Published on: January 28, 2020
Predictors of outcome in penetrating cardiac injuries
Askiin Ender Topal1, Yusuf Celik, Mehmet Nesimi Eren
1Department of Cardiovascular Surgery, Dicle University Medicine Faculty, Diyarbakir, Turkey. aendertopal61@hotmail.com
Insights
Identifying risk factors for penetrating cardiac injuries is crucial. This study found that patient age, pH, Trauma Injury Severity Scores, and Acute Physiology and Chronic Health Evaluation II scores predict mortality in these critical cases.
Area of Science:
- Trauma Surgery
- Emergency Medicine
- Cardiovascular Surgery
Background:
- Penetrating cardiac injuries are a leading cause of death.
- Understanding risk factors is essential for improving patient outcomes.
Purpose of the Study:
- To identify and quantify risk factors associated with mortality in patients with penetrating cardiac injuries.
Main Methods:
- Retrospective review of 64 consecutive penetrating cardiac injury cases.
- Analysis using forward stepwise multivariate logistic regression.
Main Results:
- Mortality rate was 17.19% (11 of 64 patients).
- Key risk factors identified: patient age, pH, Trauma Injury Severity Score (TRISS), and Acute Physiology and Chronic Health Evaluation II (APACHE II) score.
- Odds ratios for these factors ranged from 2.201 to 6.665.
Conclusions:
- The study identified specific patient and scoring system variables that significantly predict mortality in penetrating cardiac injuries.
- Binary logistic modeling confirmed the predictive value of these risk factors.
Background:
Cardiac injury is one of the most lethal injuries. The objective of this study was to determine the real amount of risk factors for penetrating cardiac injuries.
Method:
A retrospective review of 64 consecutive penetrating cardiac injuries treated in reference center of the biggest regional hospital from September 2002 to January 2009.
Results:
There were 58 men (90.6%) and 6 women (9.4%), with a mean age of 26.19 years ± 11.68 years (range, 13-67 years). The mechanism of injury was stab wound for 57 patients and gunshot wound for the remainder. Mortality was 17.19% (11 of 64 patients). The forward stepwise multivariate logistic regression analysis of the results revealed four risk variables-two were measures of patients, age and pH, and the others were scoring systems, Trauma Injury Severity Scores and Acute Physiology and Chronic Health Evaluation II. The odds ratios and confidence interval of four variables are followed as 6.665 (4.213-10.544), 3.435 (2.171-5.433), 2.715 (1.716-4.295), and 2.201 (1.391-3.481), respectively.
Conclusion:
Our data have shown the real amount of risk variables for mortality in penetrating cardiac injuries by using binary logistic model.
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