ABSTRACT
INTRODUCTION: In recent years, road accidents have been one of the leading causes of death in Iran, with the majority of victims being motorcyclists. Accurate knowledge of the pattern of injuries to those injured is a strategy to reduce the consequences of these fatal accidents. The aim of this study was to investigate the pattern of injuries to motorcyclists. METHODS: The present study was a cross-sectional study that was performed in Rasoul Akram (PBUH) Educational and Medical Center in Tehran. The information was extracted from 500 hospital records of the patients admitted due to motorcycle accidents from September 2015 to September 2016, which was recorded in the data collection checklist. RESULTS: About 67.9% of the injured did not have head injuries and 32.0% of the sample group suffered head injuries. Out of 160 people from the head injury group, 7.2% have Abbreviated Injury Scale (AIS) index = 1 and 93.8% have AIS ≥ 2. A total of 82% of the injured had no neck injuries and 18.0% of the sample group had neck injuries. Of these, 72.2% had AIS = 1 and 17.8% had AIS ≥ 2. About 65.0% of the injured did not have facial injuries and 35.0% of the sample group suffered facial injuries. CONCLUSION: An accurate knowledge of the pattern of injuries to this group of injured, providing pre-hospital services, timely diagnosis and treatment and the use of corrective and effective factors, has an effective role in reducing the incidence and consequences of this deadly accident.
ABSTRACT
IntroductionRecently, a new strain of coronaviruses, which originated from Wuhan City, Hubei Province, China has been identified. According to the high prevalence of new coronavirus, further investigation on the clinical and paraclinical features of this disease seems essential. Hence, we carried out this systematic review and meta-analysis to figure out the unknown features. MethodsThis study was performed using databases of Web of Science, Scopus and PubMed. We considered English cross-sectional and case-series papers which reported clinical, radiological, and laboratory characteristics of patients with COVID-19. We used STATA v.11 and random effect model for data analysis. ResultsIn the present meta-analysis, 32 papers including 49504 COVID-19 patients were studied. The most common clinical symptoms were fever (84%), cough (65%) and fatigue (42%), respectively. The most common radiological and paraclinical features were bilateral pneumonia (61%), ground-glass opacity (50%), thrombocytopenia (36%) and lymphocytopenia (34%). The study also showed that the frequency of comorbidities and early symptoms was higher in critically severe patients. Moreover, we found the overall mortality rate of three percent. ConclusionAccording to that there are many cases without Computed Tomography Scan findings or clear clinical symptoms, it is recommended to use other confirming methods such RNA sequencing in order to identification of suspicious undiagnosed patients. Moreover, while there is no access to clinical and paraclinical facilities in in public places such as airports and border crossings, it is recommended to consider factors such as fever, cough, sputum and fatigue.
