Publications by authors named "H Shirzad-Aski"
Background And Objectives: Nosocomial infections, including drug-resistant Acinetobacter baumannii infections, continue to impact the health of hospitalized patients. This study sought to determine the prevalence of these infections and assess the associated risk factors and clinical outcomes in Gorgan, Iran.
Methods: A retrospective cross-sectional study was conducted on 143 infected patients with Acinetobacter baumannii in two educational hospitals in Gorgan city, Iran between 2016 and 2018.
Background: It is essential to constantly review the risk factors and treatment outcomes of tuberculosis (TB). This study evaluated some important risk factors of TB over five years.
Methods: Between 2013 and 2018, all available information and possible risk factors related to TB patients were analyzed from the TB registry program of the health district of Gorgan, Iran.
Article Synopsis
- - The study explored the use of a deep learning model to predict COVID-19 patient outcomes based on chest CT images, aiming to improve its clinical application through deep privacy-preserving federated learning (DPFL).
- - A total of 3,055 patients from 19 medical centers were analyzed, with the data being divided for training, validation, and testing to evaluate model performance using metrics like accuracy and sensitivity.
- - The results showed that the centralized model achieved an accuracy of 76% and the DPFL model had an accuracy of 75%, with both models demonstrating similar specificity and comparable area under the curve (AUC) values, suggesting no significant statistical differences between the two approaches.
Background: Considering the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic, which causes coronavirus disease 2019 (COVID-19), we aimed to report the clinical features of 427 patients with COVID-19 and the outcomes after one-month admission to major teaching hospitals in the northeast of Iran.
Materials And Methods: Data of patients hospitalized with COVID-19 from 20 February 2020 to 20 April 2020 was analyzed using the R software. The cases and their outcomes were monitored up to one month following their admission.
Avian pathogenic (APEC) and uropathogenic (UPEC) can cause vast infections in humans and poultry. The present study was conducted to compare the isolates of the APEC and UPEC pathotypes on the basis phenotypic and genotypic features of antibiotic resistance and phylogenetic differences. Total number of 70 identified strains, including 35 APEC and 35 UPEC isolates, were isolated from avian colibacillosis and human urinary tract infection (UTI), and were subjected to the antimicrobial susceptibility testing, polymerase chain reaction (PCR) detection of the resistance genes, phylogenetic grouping and DNA fingerprinting with enterobacterial repetitive intergenic consensus PCR (ERIC - PCR) to survey the variability of the isolates.
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