Impact of COVID-19 pandemic on road traffic injuries in Iran: An interrupted time-series analysis.

INTRODUCTION: Globally, the COVID-19 pandemic has affected the number of road accidents and deaths caused by them. The present study aimed to identify the effect of this epidemic on traffic accidents and their casualties in Iran. METHODS: In this study, Interrupted Time Series Analysis (ITSA) was used in a semi-experimental design to measure the impact of the restrictive policies of COVID-19 on road accidents. Data were collected retrospectively from the Iran Red Crescent Society data set for 31 provinces from March 2017 to February 2022. The information related to the number of road accidents, injuries, deaths, and deaths in the hospital was collected. The Newey-West method is used for estimation. Statistical analyses were carried out using R software version 3.6.1. RESULTS: Since February 2020 in Iran, the reduction in the number of road accidents and the number of injuries and deaths in these accidents was significant at 5% but the reduction of deaths in the scene and hospital was significant at 10%. In general, for all variables, the reduction trend was established only in the first months, and then it had an upward trend. CONCLUSION: In the early months of the COVID-19 epidemic in Iran, the number of road accidents and their casualties decreased. Policies restricting traffic, quarantine, and fines for violators can be reasons for changing people's behavior and travel patterns and also lead to a reduction in traffic accidents and fatalities. Such studies can explain the importance of the policies in changing behavioural patterns and can be used as a guide in future policies.

Epidemiological, clinical, and economic burden of myocardial infarction patients in Iran during the COVID-19 pandemic.

Background: To define changes in AMI case rates, patient demographics, cardiovascular comorbidities, treatment approaches, in-hospital outcomes, and the economic burden of COVID-19 during the pandemic. Methods: We conducted a multicenter, observational survey with selected hospitals from three medical universities in Tehran city. A data collection tool consisting of three parts. The first part included socio-demographic information, and the second part included clinical information, major complications, and in-hospital mortality. Finally, the third part was related to the direct medical costs generated by AMI in COVID-19 and non-COVID-19 patients. The study cohort comprised 4,560 hospitalizations for AMI (2,935 for STEMI [64%] and 1,625 for NSTEMI [36%]). Results: Of those hospitalized for AMI, 1,864 (76.6 %) and 1,659 (78 %) were male before the COVID-19 outbreak and during the COVID-19 era, respectively. The length of stay (LOS), was significantly lower during the COVID-19 pandemic era (4.27 ± 3.63 vs 5.24 ± 5.17, p = 0.00). Results showed that there were no significant differences in terms of patient risk factors across periods. A total of 2,126 AMIs were registered during the COVID-19 era, with a 12.65 % reduction (95 % CI 1.5-25.1) compared with the equivalent time in 2019 (P = 0.179). The risk of in-hospital mortality rate for AMI patients increased from 4.9 % in 2019 to 7.0 % in the COVID-19 era (OR = 1.42; 95 % CI 1.11-1.82; P = 0.004). Major complications were registered in 9.7 % of cases in 2020, which is higher than the rate of 6.6 % reported in 2019 (OR = 1.46, 95 % CI 1.11-1.82; P = 0.000). Total costs in hospitalized AMI-COVID patients averaged $188 more than in AMI patients (P = 0.020). Conclusion: This cross-sectional study found important changes in AMI hospitalization rates, worse outcomes, and higher costs during the COVID-19 periods. Future studies are recommended to examine the long-term outcomes of hospitalized AMI patients during the COVID-19 era.

Common microbial causes of significant bacteriuria and their antibiotic resistance pattern in the Isfahan Province of Iran.

Urinary tract infections (UTIs) are considered the most common community-acquired infections worldwide, which have possible complications along with significant economic impact on national healthcare systems. The aim of this study was to identify the most common causes of significant bacteriuria and to assess their antimicrobial resistance pattern in the Isfahan province of Iran. In this cross-sectional study, 11,678 urine samples of the patients referred to Mahdieh Medical Diagnostic Centre Charity were examined over a period of 10 months (from September 2015 to June 2016). Among the cases, 6.85% were positive for bacteriuria (F/M = 11.3). Escherichia coli (62%) was the most frequently isolated bacteria, followed by Staphylococcus epidermidis (13.9%) and Staphylococcus aureus (6.8%). E. coli was more prevalent among patients with diabetes mellitus. E. coli isolates showed the highest resistance to nalidixic acid, Trimethoprim/Sulfamethoxazole and Cefixime. Our results revealed that broad-spectrum antibiotic resistance is frequent among isolated uropathogens in Isfahan, Iran.