Ramin Ebrahimian; Zoubin Souri; Alireza Feizkhah; MohammadReza Mobayen; Habib Eslami; Mojdeh Esmailzadeh; Mohsen Ghorbani; Soroush Mirhedayati; Parissa Bagheri
Volume 11, Issue 1 , January 2023, , Pages 19-25
Abstract
Objective: To evaluate the spiral chest computed tomography (CT) scan findings in patients with multipletrauma during the COVID-19 pandemic.Methods: This retrospective study was performed on multiple trauma patients admitted to a tertiary hospital inthe north of Iran in 2020. All patients with multiple ...
Read More
Objective: To evaluate the spiral chest computed tomography (CT) scan findings in patients with multipletrauma during the COVID-19 pandemic.Methods: This retrospective study was performed on multiple trauma patients admitted to a tertiary hospital inthe north of Iran in 2020. All patients with multiple trauma who had undergone a chest spiral CT were includedin this study. Furthermore, the data analysis was performed through descriptive and analytical statistics usingSPSS software.Results: A total of 600 patients were included over the study period. The mean age of patients was 48.2±20.3years. Of the total, 496 (65.3%) patients had blunt chest injuries, and 104 (34.7%) had penetrating chest injuries.Falling was the most common mechanical cause of chest trauma in 270 patients (45%). Surgical interventionswere performed in 110 (18.3%) patients. A total of 276 (46%) patients had chest injuries identified by CTscans. Many patients (15.6%) had ground-glass lung opacity in the CT scan reports. Lung consolidation,pneumothorax, lung contusion, hemothorax, and rib fractures were the most common.Conclusion: Due to the high frequency of typical findings in spiral CT scan examinations, obtaining a reliablehistory of trauma severity, injury mechanism, and a detailed physical examination is recommended beforeprescribing a CT scan for patients.
Hossein Zakeri; Lahya Afshari Saleh; Shabnam Niroumand; Maryam Ziadi-Lotfabadi
Volume 10, Issue 2 , April 2022, , Pages 65-70
Abstract
Objective: To compare the emergency severity index (ESI) and Manchester triage system (MTS) in trauma patients. Methods: This cross-sectional study was conducted by census method in Hasheminejad hospital during 2019. Patients referred to a trauma center triaged by five trained triage nurses based on ...
Read More
Objective: To compare the emergency severity index (ESI) and Manchester triage system (MTS) in trauma patients. Methods: This cross-sectional study was conducted by census method in Hasheminejad hospital during 2019. Patients referred to a trauma center triaged by five trained triage nurses based on ESI and MTS. Outcomes were considered as length of stay at the emergency department, admission to the other sectors and discharge or leave the hospital. Information from the triage form, nursing registry office and hospital registry system were extracted and analyzed by SPSS software. Results: Totally 447 and 468 patients triaged with the ESI and MTS were included, respectively. Seventy percent of patients triaged with ESI and 34% with MTS were placed in level 3 or the yellow group (equivalent group 3 triage). The hospitalization rate is approximately equal at each triage level in the both systems. The mortality rate in both groups was 0%. Mean length of stay was significantly lower in the MTS group compared to ESI in the emergency department (p <0.05). Conclusion: Using of ESI triage in the trauma center causes to arrive more patients to the emergency department instead of the fast track and leads to waste the time and energy of staff’. However, further studies are needed to prove this result.
Ee Lyn Chan; Jawaad Saleem Malik; Carlos Gomez
Volume 9, Issue 3 , July 2021, , Pages 151-154
Abstract
Blunt chest trauma is a rare cause of acute coronary syndrome and can be masked by other injuries in polytrauma patients. It can have devastating consequences due to damage to the myocardial tissue if left unrecognized. Myocardial injury can result in life-threatening arrhythmias and complications ...
Read More
Blunt chest trauma is a rare cause of acute coronary syndrome and can be masked by other injuries in polytrauma patients. It can have devastating consequences due to damage to the myocardial tissue if left unrecognized. Myocardial injury can result in life-threatening arrhythmias and complications such as systolic and diastolic dysfunction. This can significantly affect patients’ quality of life. A 34-year-old man involved in a paragliding incident in Kazakhstan. His equipment failed at 30 meters height and result him to be propelled at high velocity to the ground. He sustained multiple injuries including spinal fractures, lung contusions and a mediastinal haematoma. He was transported to a local hospital and noted to have ST segment elevation on his admission electrocardiogram (ECG). He underwent an angiogram that showed sub-occlusion of his left anterior descending (LAD) artery. This resulted in a time-critical Percutaneous Coronary Intervention (PCI). He was stabilized and repatriated to the UK to manage of remaining injuries.
Elahe Parva; Reza Boostani; Zahra Ghahramani; Shahram Paydar
Volume 5, Issue 2 , April 2017, , Pages 90-95
Abstract
Clinical databases can be categorized as big data, include large quantities of information about patients and their medical conditions. Analyzing the quantitative and qualitative clinical data in addition with discovering relationships among huge number of samples using data mining techniques could unveil ...
Read More
Clinical databases can be categorized as big data, include large quantities of information about patients and their medical conditions. Analyzing the quantitative and qualitative clinical data in addition with discovering relationships among huge number of samples using data mining techniques could unveil hidden medical knowledge in terms of correlation and association of apparently independent variables. The aim of this research is using predictive algorithm for prediction of trauma patients on admission to hospital to be able to predict the necessary treatment for patients and provided the necessary measures for the trauma patients who are before entering the critical situation. This study provides a review on data mining in clinical medicine. The relevant, recently-published studies of data mining on medical data with a focus on emergency medicine were investigated to tackle pros and cons of such approaches. The results of this study can be used in prediction of trauma patient’s status at six hours after admission to hospital.
Fariborz Ghaffarpasand; Maryam Dehghankhalili
Volume 1, Issue 1 , January 2013, , Pages 1-2
