Qazvin University of Medical Sciences

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    Errors and Preventive Measures of Health‑Care Systems during COVID‑19 Pandemic

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    Dear Editor, With the COVID‑19 death toll being on a rise in some countries, Managers must be aware of the immense mounts of stress that workers endure. Human factors such as stress, load of duties, and fatigue can lead to an increase in medical errors. These effects are significantly more visible in health workers who face large number of COVID‑19 patients. Safety of these health workers can be improved by workplace assessment by mean hazard identification. Health‑care workers are constantly exposed to different risk factors in workplace such as excessive fatigue due to long working hours without adequate rest.[1] Hence, assessment of their quality of working life is of importance, especially in pandemics. Working on the front line is a risk factor for worse mental health outcomes and burnout in this group.[2] All these human factors and also a lack of knowledge can lead to an increase in medical errors. It is therefore necessary to control these errors by taking safety measures that focus on reducing the severity, frequency of occurrence, or both. Some common preventive measures are: • Virtual safety training courses and...

    High level of resistance to metronidazole and clarithromycin among Helicobacter pylori clinical isolates in Qazvin province, Iran

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    resistance. We aimed to investigate the prevalence and mechanism of antibiotic resistance to metronidazole and clarithromycin in H. pylori isolates collected from patients with gastrointestinal symptoms in Qazvin, Iran. In this cross-sectional study, antibiotic susceptibility testing to clarithromycin and metronidazole was performed among 80 clinical strains isolated from H. pylori-positive dyspeptic patients referred to Qazvin hospital from July 2018 to November 2018. Polymerase chain reaction (PCR) and sequencing tests were performed to determine the type of mutations in the rdxA gene in metronidazole-resistant isolates, and the 23SrRNA gene in clarithromycinresistant isolates. Thirteen (40.6%) and Twenty-one (65.6%) isolates were resistant to clarithromycin and metronidazole, respectively. 37.5% and 59.4% of clarithromycin and metronidazole resistant isolates had MIC>256. In clarithromycin-resistant isolates, mutations in the 23SrRNA gene was seen at A2143G (15.6%), A2142G (9.4%), C2195T (6.3%), C2244T (3.1%), and G2212A (3.1%) locations. In one isolate, three simultaneous mutations were recorded in locations A2143G, G2110A, and C2121T. Mutations in the rdxA gene in metronidazole-resistant isolates, were missense. High resistance to metronidazole and clarithromycin antibiotics were seen in H. pylori isolates in Qazvin province. This is the first report of new mutation sites G2212A, G2110A, and C2121T on the 23SrRNA gene in clarithromycin-resistant isolates. It is necessary to evaluate the current situation in terms of resistance and identify the mechanisms involved in its occurrence for the successful treatment of infections caused by this organism

    Phylogenetic analysis and antibiotic resistance of Shigella sonnei isolates

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    Shigellosis is one of the most important gastric infections caused by different species of Shigella, and has been regarded as a serious threat to public health. Lineage/sublineage profile of Shigella sonnei is strongly associated with the antibiotic resistance and population structure of this pathogen. In this study, we determined the phylogeny and antibiotic resistance profiles of S. sonnei strains, isolated from 1246 stool and 580 food samples, using multiplex PCR-HRMA genotyping and Kirby-Bauer disk diffusion methods, respectively. A total of 64 S. sonnei strains were isolated (13 food and 51 clinical isolates). Multiplex PCR-HMR assay was able to differentiate the lineages II and III, and sublineages IIIb and IIIc strains successfully considering the definite melting curves and temperatures. Lineage I and sublineage IIIa strain were not isolated in this study. We also demonstrated that most of the S. sonnei strains isolated from both food and clinical samples clustered within the lineage III and sublineage IIIc. Resistance against trimethoprimsulfamethoxazole, tetracycline, chloramphenicol, and streptomycin antibiotics were the most prevalent phenotypes among the S. sonnei lineage III and sublineage IIIc strains

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