Analysis of Risk Factors with Hospital Mortality in Pedestrian Injured Patients; A Dataset Analysis of a Level-I Trauma Center in Southern Iran

Mahnaz Yadollahi, Narges Rahmanian, Kazem Jamali


Objective: To determine the indicators predicting the hospital mortality in pedestrian injured patients admitted to a level I trauma center in Southern Iran.

Methods: This case control study was conducted in a Level-I trauma hospital in Shiraz. We selected all survived pedestrians who were admitted in the hospital with duration of admission more than 24 hours in one year from March 2016 to February 2017 as control group and compared with all non-survived pedestrian patients who expired in the hospital according to clinical from March 2012 to February 2017. Multiple logistic regression was performed to identify factors of hospital effect on pedestrian mortality and results expressed by Odds Ratios and their confidence intervals (CI) of 95%.

Results: A total of 424 survived pedestrian injured patients were compare to 117 non-survived one. Their mean of survived and non-survived patients were 43.79 ± 19.37 and 56.76 ± 18.55 years respectively of which 361 (66.7%) and 180 (33.3%) were men and women, respectively. We found that the gender does not have any relation with hospital mortality (p=0.275). Followed by, age is in relevance with mortality. Glasgow Coma Scale(GCS), Injury Severity Score (ISS), blood urea nitrogen (BUN), platelet (PLT), potassium (K) and hemoglobin (Hb) are significant factor which are associated with mortality. According to logistic analysis GCS ≤8 (p<0.001), low hemoglobin level <9 (p=0.030), BUN >24 (p<0.001), thrombocytopenia <150,000 (p<0.001), and hypokalemia <3.5 (p=0.01) were independently associated with hospital mortality. Among them, GCS≤8 was 72.237 times more likely to be associated with hospital mortality (OR =72.24, CI95% =23.19- 225.05). 

Conclusion: The results suggest that GCS score, ISS, hemoglobin level, platelet count, BUN and potassium level might be independent factors associated with hospital mortality in pedestrian injured patients.


Hospital mortality; Injury; Pedestrian; Accidents; Traffic

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