Publications by authors named "Monira Mollazehi"

Background: Grade (III-V) blunt splenic injuries (BSI) in hemodynamically stable patients represent clinical challenges for successful non-operative management (NOM). In 2014, Our institution proposed a treatment protocol requiring splenic angiography and embolization for stable, intermediate, and high-grade BSI. It also included a follow-up CT scan for grade III BSI.

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Background: The Trauma Quality Improvement Program (American College of Surgery (ACS-TQIP)) uses the existing infrastructure of the Committee on Trauma programs and provides feedback to participating hospitals on risk-adjusted outcomes. This study aimed to analyze and compare the performance of the Level I Hamad Trauma Centre (HTC) with other TQIP participating centers by comparing TQIP aggregate database reports. The primary goal was to pinpoint the variations in adult trauma outcomes and quality measures, identify areas that need improvement, and leverage existing resources to facilitate quality improvement.

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: Loss of muscle mass, and its strength, is associated with adverse outcomes in many medical and surgical conditions. Trauma patients may get malnourished during their hospital course due to many interrelated contributing factors. However, there is insufficient knowledge on the acute muscle and fat changes in young trauma patients in the early days post-admission.

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Background: Spinal cord injury without radiographic abnormality (SCIWORA) in adults causes diagnostic and prognostic dilemma as radiography and/or computed tomography does not clearly detect bone lesions during the initial assessment. Herein, we report our experience on 11 spinal cord injury cases without radiographic abnormality, regarding the clinicoradiological features, management, and outcomes.

Methods: We conducted a case series of adult patients with SCIWORA who were admitted at the level 1 trauma center at Hamad General Hospital from January 2008 to July 2018.

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Background: The trauma incidence follows specific patterns in different societies and is expected to increase over the weekend and nighttime. We aimed to explore and analyze the incidence, pattern, and severity of trauma at different times (working hours vs. out off-working hours, weekdays vs.

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Background: The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI).

Methods: A retrospective analysis was conducted for all adult patients who sustained TBI and were hospitalized at the trauma center from January 2014 to February 2019 with an abbreviated injury severity score for head region (HAIS) ≥ 3. We used the demographic characteristics, injuries and CT findings as predictors.

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Background: As trauma systems mature, they are expected to improve patient care, reduce in-hospital complications and optimize outcomes. Qatar has a single trauma center, at the Hamad General Hospital, which serves as the hub for the trauma system that was verified as a level 1 trauma system by the Accreditation Canada International Distinction program in 2014. We hypothesized that this international accreditation was a major step, in the maturation process of the Qatar trauma system, that has positively impacted patient care, reduced complications and improved outcomes of trauma patients in such a rapidly developing country.

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Background: Psychological distress following traumatic injury can influence the patient health, well-being and quality of life; however, this impact may partly vary according to the type and severity of injury. We aimed to study the predominant distress causing cluster and individual symptoms of Post-Traumatic Stress Disorders (PTSD) at the clinical and subthreshold level in patients with traumatic injuries, based on the mechanism of injury (MOI).

Methods: A hospital based cross-sectional study was conducted at a Level 1 Trauma Center utilizing PTSD Checklist to diagnose PTSD after one month of the traumatic event.

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Background: Violence is a global public health concern leading to injuries, long-term physical, sexual or mental health problems and even mortality. The burden of violence-related injuries on hospital systems remains understudied in the Arabian Gulf region. The present study aimed to describe the epidemiology of hospitalized violence-related injuries in a rapidly developing Middle Eastern country.

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Objectives: We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI).

Methods: This study included TBI patients who were hospitalized in a level 1 trauma center between January 2014 and February 2019. Data were analyzed for all adult patients who received mechanical ventilation following TBI with abbreviated injury severity (AIS) score for the head region of ≥ 3.

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Background: The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. Several studies prove that the machine learning predictive techniques outperform the classical multivariate techniques. We aimed to build a machine learning predictive model to predict the in-hospital mortality for patients who sustained Traumatic Brain Injury (TBI).

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Road traffic injuries are the leading cause of death in Qatar but their epidemiology in children has not been fully described. This paper will describe the epidemiology of pediatric road traffic injuries (pRTIs) in Qatar, in order to understand the relationships among risk factors, mechanisms of injury, use of safety equipment, and according to child developmental stages. The primary sample for this study was drawn from all pRTIs (0-18 years) from January 2010 to December 2012-motor vehicle occupants, passengers and drivers, pedestrians, cyclists, motorcyclists, and all-terrain vehicle (ATV) drivers and passengers-seen at the trauma registry of the Hamad Trauma Center, the national Level I Trauma Referral Center of Qatar.

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Traumatic injuries accounted for substantial burden of morbidity and mortality (M and M) worldwide. Despite better socioeconomic conditions and living standards, the incidence of trauma is rising in the Eastern Mediterranean Region (EMR). Road traffic injuries are the leading cause of the high fatality rate in young economically productive adults in our region.

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Purpose: The precise incidence of trauma in pregnancy is not well-known, but trauma is estimated to complicate nearly 1 in 12 pregnancies and it is the leading non-obstetrical cause of maternal death.

Methods: A retrospective study of all pregnant women presented to national level 1 trauma center from July 2013 to June 2015 was conducted. Descriptive and inferential statistics applied for data analysis.

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Objective: We assessed the presentations and outcomes of trauma patients transported by helicopter emergency medical services (HEMS) versus ground emergency medical services (GEMS).

Methods: A retrospective analysis of trauma registry data at a level I trauma center was conducted for patients transported by GEMS and HEMS between 2011 and 2013. Data were analyzed and categorized based on the mode of transportation.

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Blunt bowel and mesenteric injury (BBMI) is frequently a difficult diagnosis at initial presentation. We aimed to study the predictors for early diagnosis and outcomes in patients with BBMI. Data were collected retrospectively from the database registry between January 2008 and December 2011 in the only Level I trauma unit in Qatar.

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