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Introduction: In low- and middle-income countries, a large proportion of road users include pedestrians, cyclists, and motorcyclists, and nearly half of road traffic fatalities occur among motorcyclists. This study aimed to examine the pattern of motorcyclists' death due to accidents in East Azerbaijan, Iran between 2006 and 2021 and present a forecast. Methods: We used death data due to motorcycle accidents of Legal Medicine Department between 2006 and 2021. For time series analysis, the Box-Jenkins model was used and three stages of identification, estimation, and diagnosis were successively performed and repeated several times to achieve the best prediction model. The Box-cox transformation method was used to stabilize the variance, and the first-order seasonal differential method with a period of 12 was used to control the seasonality. Due to seasonal variations, the Seasonality Auto-Regressive Integrated Moving Average model: SARIMA (p, d, q) (P, D, Q)s was employed and the death trend was predicted for 36 months. The candidate models were compared based on Log-likelihood, AIC, and BIC indices. STATA 17 was used for data analysis. Results: About 18.6% of all accident deaths are attributed to motorcycle accidents. The death rate for all causes of accidents and motorcycle accidents were 23.13 and 4.30 per 100,000 population, respectively. Seven models were considered as candidates. The SARIMA (0, 0, 0) (1, 1, 1)12 model was selected as the best model due to better fit and used to predict the number and trend of motorcycle accident deaths. Motorcycle accident deaths are predicted to decrease gradually in the next 36 months, from June 2021 to May 2024, affected by seasonal changes. Conclusion: The trend of death due to motorcycle accidents from 2006 to 2021 in East Azerbaijan was declining, and it is predicted to decrease slightly in the next three years as well. As this reduction may be attributed to many factors, it is recommended to investigate effective factors in future studies.

Objective: Having cosmetic breast implants increases a woman's chance of suicide, which is now a global challenge. This systematic review evaluated the possible risk of suicide among women who undergo cosmetic breast implants. Method: This meta-analysis was done based on Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA). In the current systematic review and meta-analysis, we systematically searched for all articles written in both English or Persian that estimated the prevalence of suicidal ideation in women who had cosmetic breast implants. We systematically searched different databases, including MEDLINE (PubMed), Web of Science, Embase, Cochrane, Library ProQuest, Scopus, and Google Scholar, from inception to March 2021. There was also a search for references. Suicidal ideation, a suicide plan, or suicide attempts were the outcomes. In order to determine the total pooled prevalence of suicidal ideation, we utilized a random-effects model. To examine the risks of bias in each study, we applied the Joanna Briggs Institute Critical Appraisal method. Results: We identified 218 citations in our initial search. After omitting duplicated citations and excluding irrelevant studies according to the title and abstract selection, 42 studies were chosen for the full text analysis. Finally, 11 research, examining a total of 324,332 women were incorporated into the systematic review and critical appraisal assessment. Eight of these studies were found to be eligible for meta-analysis. The frequency of suicide in women with cosmetic breast implant was 0.2% (95% CI: 0.1% to 0.4%; P < 0.001) (Q-value: 168.143, I2:95.83). Most of the included studies had moderate quality. Conclusion: There might be a correlation between cosmetic breast implants and suicide risk, which could be stronger in the presence of a history of mental illnesses. The evidence about the possible effects of breast implants on the risk of suicide is still inconclusive, and there is a need for future well-designed studies on this topic.

Acute exacerbations are the important reasons for hospitalization and death in chronic obstructive pulmonary disease (COPD) patients. We aimed to evaluate the relationship between serum concentrations of cardiac troponin I (cTnI) and the outcome of COPD patients visiting the emergency department with acute exacerbation of COPD (AECOPD). In this study, we included 90 AECOPD patients between October 2018 and October 2019. Serum cTnI was measured during the first 24 and 48 hours after admission. Patients were categorized into two groups positive cTnI values (≥0.3 ng/dl) and negative cTnI (

Background: The current study aimed to evaluate the predictive value of mortality in patients admitted to the Intensive Care Unit (ICU) through the emergency department and based on Quick Sequential Organ Failure Assessment (qSOFA), National Early Warning Score (NEWS) and NEWS2 criteria. Methods: In this cross-sectional study, all patients referred to the emergency department with a need of admission to ICU for any reason, were evaluated. Demographic data such as age and sex were recorded for data collection. Also, the main diagnosis, length of stay and hospitalization outcome along with data related to qSOFA, NEWS and NEWS2 indices were included in the researcher's checklist. Results: Of 89 included patients, 52 (58.4%) were male and 37 (41.6%) were female, with mean age of 60.25±20.8. Our findings indicated that qSOFA is a good predictor for mortality in non-traumatic patients so that qSOFA has 48% sensitivity and 100% specificity in the diagnosis of mortality in non-trauma patients. NEWS also has a sensitivity of 72% and a specificity of 71.4% in the diagnosis of non-traumatic mortality. And NEWS2 has 72% sensitivity and 78.6% specificity in non-traumatic mortality diagnosis. Conclusion: Our findings suggested that the sensitivity and specificity of qSOFA, NEWS and NEWS2 in predicting the mortality of non-traumatic patients who were admitted in emergency departments and hospitalized in ICU, are high and reliablen.

Background & Aim: In recent years, health care workerschr('39') mobile phones have been considered important as a source of infection because they could have a significant role in nosocomial infections. The aim of this study is to determine the type of microbial contamination of health care workerschr('39') mobile phones in Sina hospital in Tabriz. Methods & Materials: In this descriptive-analytical study, 140 samples were taken from health care workerschr('39') mobile phones by convenience sampling, in 2015. The samples were taken by a sterile swab and immediately transferred to the hospital laboratory. They were cultured after incubation for 48 hrs in two plates at 37° C. Finally, the grown microorganisms were identified by biochemical tests. The data were analyzed using descriptive statistics and Chi-square test on SPSS software version 13. A level of P