Injury patterns among various age and gender groups of trauma patients in southern Iran: A cross-sectional study.

Administrative data from trauma referral centers are useful sources while studying epidemiologic aspects of injuries. We aimed to provide a hospital-based view of injuries in Shiraz considering victims' age and gender, using administrative data from trauma research center.A cross-sectional registry-based study of adult trauma patients (age ≥15 years) sustaining injury through traffic accidents, violence, and unintentional incidents was conducted. Information was retrieved from 3 hospital administrative databases. Data on demographics, injury mechanisms, injured body regions, and injury descriptions; outcomes of hospitalization; and development of nosocomial infections were recorded. Injury Severity Score (ISS) was calculated by crosswalking from ICD-10 (International Classification of Diseases) injury diagnosis codes to AIS-98 (Abbreviated Injury Scale) severity codes. Patients were compared based on age groups and gender differences.A total of 47,295 trauma patients with a median age of 30 (interquartile range: 24-44 years) were studied, of whom 73.1% were male and the remaining 26.9% were female (M/F = 2.7:1.0). The most common injury mechanisms in the male group were car and motorcycle accidents whereas females were mostly victims of falls and pedestrian accidents (P < .01). As age increased, a shift from transportation-related to unintentionally caused injuries occurred. Overall, young men had their most severe injuries on head, whereas elderly women suffered more severe extremity injuries. Injury severity was similar between men and women; however, elderly had a significantly higher ISS. Although incidence of nosocomial infections was independent of victims' age and gender, elderly men had a significantly higher mortality rate.Based on administrative data from our trauma center, male gender and age >65 years are associated with increased risk of injury incidence, prolonged hospitalizations, and in-hospital death following trauma. Development of a regional trauma surveillance system may provide further opportunities for studying injuries and evaluating preventive actions.

Time distribution of injury-related in-hospital mortality in a trauma referral center in South of Iran (2010-2015).

In Iran, there are no studies addressing trauma death timing and factors affecting time of death after injuries. This study aimed to examine time distribution of trauma deaths in an urban major trauma referral center with respect to victims' injury characteristics during 2010 to 2015.This was a cross-sectional study of adult trauma-related in-hospital deaths resulting from traffic-related accidents, falls, and violence-related injuries. Information on injury characteristics and time interval between admission and death was extracted from 3 hospital databases. Mortality time distribution was analyzed separately in the context of each baseline variable.A total of 1117 in-hospital deaths (mean age 47.6 ±â€Š22.2 years, 80% male) were studied. Deaths timing followed an extremely positive skewed bimodal distribution with 1 peak during the first 24 hours of admission (41.6% of deaths) and another peak starting from the 7th day of hospitalization to the end of first month (27.7% of total). Subjects older than 65 years were more likely to die after 24 hours compared to younger deceased (P = .031). More than 70% of firearm-related deaths and 48% of assault-related mortalities occurred early, whereas 67% and 66% of deaths from falls and motorcycle accidents occurred late (P < .001). Over 57% of deaths from severe thoracic injuries occurred early, whereas this value was only 37% for central nervous system injuries (P < .001). From 2010 to 2015, percentage of late deaths decreased significantly from 68% to 54% (P < .001).Considering 1 prehospital peak of mortality and 2 in-hospital peaks, mortality time distribution follows the old trimodal pattern in Shiraz. This distribution is affected by victims' age, injury mechanism, and injured body area. Although such distribution reflects a relatively lower quality of care comparing to mature trauma systems, a change toward expected bimodal pattern has started.

Analysis of Shahid Rajaee hospital administrative data on injuries resulting from car accidents in Shiraz, Iran: 2011-2014 data.

PURPOSE: The administrative data from trauma centers could serve as potential sources of invaluable information while studying epidemiologic features of car accidents. In this cross-sectional analysis of Shahid Rajaee hospital administrative data, we aimed to evaluate patients injured in car accidents in terms of age, gender, injury severity, injured body regions and hospitalization outcome in the recent four years (2011-2014). METHODS: The hospital registry was accessed at Shiraz Trauma Research Center (Shiraz, Iran) and the admission's unit data were merged with the information gathered upon discharge. A total number of 27,222 car accident patients aged over 15 years with International Classification of Diseases 10th revision (ICD-10) external causes of injury codes (V40.9-V49.9) were analyzed. Injury severity score and injured body regions were determined based on converting ICD-10 injury codes to Abbreviated Injury Scale (AIS-98) severity codes using a domestically developed electronic algorithm. A binary logistic regression model was applied to the data to examine the contribution of all independent variables to in-hospital mortality. RESULTS: Men accounted for 68.9% of the injuries and the male to female ratio was 2.2:1. The age of the studied population was (34 ± 15) years, with more than 77.2% of the population located in the 15-45 years old age group. Head and neck was the most commonly injured body region (39.0%) followed by extremities (27.2%). Injury severity score (ISS) was calculated for 13,152 (48.3%) patients, of whom, 80.9% had severity scores less than 9. There were 332 patients (1.2%) admitted to the intensive care units and 422 in-hospital fatalities (1.5%) were recorded during the study period. Age above 65 years [OR = 7.4, 95% CI (5.0-10.9)], ISS above 16 [OR = 9.1, 95% CI (5.5-14.9)], sustaining a thoracic injury [OR = 7.4, 95% CI (4.6-11.9)] and head injury [OR = 4.9, 95% CI (3.1-7.6)] were the most important independent predictors of death following car accidents. CONCLUSION: Hospital administrative databases of this hospital could be used as reliable sources of information in providing epidemiologic reports of car accidents in terms of severity and outcomes. Improving the quality of recordings at hospital databases is an important initial step towards more comprehensive injury surveillance in Fars, Iran.