Evidence map›Paper›PMID 30104908›Full record

ArticleOpen access emergency medicine : OAEM2018

Patterns of injuries and predictors of inhospital mortality in trauma patients in Saudi Arabia.

Mostafa A Abolfotouh, Mohamed A Hussein, Sameh M Abolfotouh, Alanoud Al-Marzoug, Suliman Al-Teriqi, Abeer Al-Suwailem, Ra'ed A Hijazi

Abstract read
In one paragraph

Article in Open access emergency medicine : OAEM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  4. Road traffic accident clinical pattern and management outcomes at JUMC Emergency Department; Ethiopia.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Mostafa A AbolfotouhResearch Training and Development Section, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia, mabolfotouh@gmail.com.
Mohamed A HusseinBiostatistics and Bioinformatics Department King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Sameh M AbolfotouhOrthoCure Medical Center, Dubai, UAE.
Alanoud Al-MarzougCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Suliman Al-TeriqiCollege of Medicine, Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
Abeer Al-SuwailemCollege of Medicine, King Saud University, Riyadh, Saudi Arabia.
Ra'ed A HijaziEmergency Care Center, King Abdulaziz Medical City, Ministry of National Guard-Health Affairs, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to describe the pattern of traumatic injuries and determine the predictors of inhospital mortality in patients admitted to the emergency department. PATIENTS AND

methodsThis is a retrospective cohort study of 3,786 patients with traumat injuries admitted to the emergency department of King Abdulaziz Medical City, Riyadh, Saudi Arabia, between January 2012 and December 2014. Data on patient characteristics, trauma characteristics and outcomes were extracted from medical records. A negative binomial regression model was utilized to identify significant predictors of inhospital mortality.

resultsOf all injured patients, 77.5% were male, 29.8% were aged 15-25 years and 25.7% were aged 26-45 years. Blunt trauma was the main mechanism of injury, including motor vehicle crashes (MVCs) in 52.0% and falls in 25.8% of patients. Most patients had injuries to the extremities (61.3%), followed by the head (32.2%), chest (16.9%) and abdomen (8.9%). Injuries were mild in 49.7% of patients, moderate in 30.2% and severe in 20.1%. The sex of the patients was significantly associated with the mechanism of injury (

conclusionOur results suggest different patterns of trauma injuries according to patient age and sex. MVCs were the leading cause of injuries, but falls and burns had the highest inhospital mortality. This suggests the need for a comprehensive national education and prevention programs that address all causes of injuries.

Indexed as

case fatalitycauses of injuryinjury severitymechanism of injuryMVCsSaudi

Identifiers

PMID30104908
PMCPMC6074785

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.