Early predictors of mortality in polytrauma patients in intensive care units | ||||
| Zagazig University Medical Journal | ||||
| Article 24, Volume 30, Issue 1.3, March and April 2024, Page 198-206 PDF (1.11 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/zumj.2022.102365.2380 | ||||
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| Authors | ||||
Khaled Moselhi1; Mohamed Elmaghrabi   2; Mohamed Ahmed El-Gazzar3; Abd-Elrahman Mohamed Sobhy El-Zefzaf4
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| 1Neurology and psychiatry department, Benha Faculty of Medicine, Benha University, Benha, Egypt. | ||||
| 2Neurosurgery, Benha faculty of Medicine, Benha University, Benha, Egypt. | ||||
| 3Cardiothoracic surgery Department, Benha Faculty of Medicine, Benha University, Benha, Egypt. | ||||
| 4Intensive care unit department, Shebin Elkom Teacing hospital, Menoufia, Egypt | ||||
| Abstract | ||||
| Background: Trauma is a leading cause of morbidity and mortality worldwide. The traumatized patient outcome is multi-factorial through combination of clinical diagnosis and severity of comorbidities. Aim: This study aimed to enhance the outcome of polytrauma patients admitted to intensive care unit through construct a predictive model for mortality on the basis of easily available parameters. Methods: Our cohort prospective study consisted of 60 Egyptian patients from January2020 to January2021 over 16 years old with Glasgow coma scale (GCS) 4-14 followed traumatic brain injury and full clinical evaluation on admission was done including a full history, clinical examination, radiological and laboratory investigations. All patients were evaluated according to GCS, APACHE II and RTS scores. In addition, all patients were followed-up for 2weeks from the day of admission .The primary outcome assessed the mortality with analysis of different clinical and lab parameters for detection of predictors of mortality. Results: Sixty patients were with mean age/year was 40.43 ± 16.9. A mortality rate of 45% as non-survivor was detected with a predominance of road traffic accidents as a mode of injury (51.7%). There is statistically significance of lower scores of GCS and RTS but higher scores of APACHE II in non- survivors than survivors. Multivariate logistic regression detects that diabetes mellitus (DM) is the most significant predictor of non survivors. Conclusion: Multiple significant predictors of mortality were found as: advanced age, low PLT count, high renal function tests and radiological CT brain findings. DM is the most significant mortality predictor. | ||||
| Keywords | ||||
| predictors; mortality; polytrauma; ICU | ||||
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