Imam Abdulrahman Bin Faisal University
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/16
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Item Restricted Long Term Effect of COVID-19 on Pulmonary Functions, Physical Activities, Functional Capacities, and Quality of Life. A Cross-Section Study(Imam Abdulrahman Bin Faisal University, 2023) Alshammari, Maha Ata Hmoud; شنب، السيد عبد الحميدBackground: Acinetobacter baumannii, a bacterial species which demonstrates an elevated wide range, multidrug resistance to commonly prescribed antibiotics, has been linked to recent major global outbreaks, raising a major clinical concern. Its reduced antibiotic susceptibility is closely related to the acquisition of a potent carbapenemase, and/or intrinsic gene ‘’over expression’’ through insertion sequences. Hence, this study aimed at investigating the antimicrobial susceptibility and molecular mechanisms underlying β-lactam resistance in A. baumannii, isolated at an academic medical center.Methods: To understand the basis of resistance, 103 multi-drug resistant (MDR) A. baumannii isolates were collected, their antibiotic susceptibility was tested phenotypically (Vitek II), and then molecular analyses was performed, by testing a range of commonly encountered carbapenemases—OXA-51, OXA-23, NDM, VIM, and KPC.Results: All strains demonstrated pan-resistance to most of the advanced antibiotics tested, including piperacillin/tazobactam, ceftazidime, cefepime, and ciprofloxacin. Moreover, majority of isolates exhibited resistance to imipenem (98.1%) and trimethoprim (90.3%). Approximately 50% of the strains showed meropenem, amikacin, and gentamycin resistance; however, lower resistance rate to tigecycline (4.9%) was noted. Moreover, isolates contained potent carbapenemases such as the intrinsic OXA-51 (89.3%), as well as the acquired resistant genes OXA-23 (68.9%), NDM (84.5%), and VIM (88.3%). The insertion sequence element ISAba1 was only detected in 35.9% of the strains.Conclusion: Potent resistant genes known to be carried on mobile genetic elements that aid the spread of highly resistant phenotypes were observed in a majority of isolates. These findings enforce the need for vigilant infection control measures and continuous surveillance.2 0Item Restricted Machine Learning Based Models for Cyber-Attribution(Imam Abdulrahman Bin Faisal University, 2022) Alkaabi, Maimonah Rashed Hamad; Olatunji, Sunday34 0Item Restricted Comparative analysis of phyto–defense elicitors(SA & JA) for the reduction of two spottedspider mite Tetranychus urticae infestation in plant(Imam Abdulrahman Bin Faisal University, 2022) Alohali, Noura Emad Dawood; Khattab, Salah Eldin Hassan; Osman, Mohamed Aly4 0Item Restricted Mourning the Leader: Trauma in Selected Elegies by Hassan bin Thabit and Walt Whitman: A Comparative Study(Imam Abdulrahman Bin Faisal University, 2022) Aljabrin, Sahar Rashid; رجب، ياسر خميس3 0Item Restricted Improving Operating Room (OR) Efficiency: Is It a Necessity?(Imam Abdulrahman Bin Faisal University, 2022) Alansari, Fatimah Salah Ahmed; الجعفري، افنان عبد العزيز14 0Item Restricted Machine Learning-Based Model for Exploring the Seasonal and Temporal Impact on the Psychological States of Twitter Users in Saudi Arabia(Imam Abdulrahman Bin Faisal University, 2022) Al Sari, Bador Ali Saad; Aslam, Nida13 0Item Restricted Intelligent Botnet Detection for Android Devices Using Hybrid-based Time Series Dataset(Imam Abdulrahman Bin Faisal University, 2022) Alyanbaawi, Dalal Youssef; Almuhaideb, Abdullah3 0Item Restricted Assessment of Functional Independence and Community Participation in Children with Cerebral Palsy: The Caregiver Disability Burden(Imam Abdulrahman Bin Faisal University, 2022) Al-Turki, Elaf Turki Ali; Ismail, Alaa Ibrahim14 0Item Restricted Expression of MIF, Inversely Correlates with Down-Regulation of Beclin-1 Dependent on Tumorigenicity of Ovarian Cancer Cell Lines with Effects on Antigen Presentation and Subsequent Ovarian Cancer Prognosis(Imam Abdulrahman Bin Faisal University, 2022) Alrashaid, Sara Tariq; Yamani, Lamya Zohair6 0Item Restricted Deep Learning Based Model for the Detection of Polycystic Ovary Syndrome Using Ultrasound Images(Imam Abdulrahman Bin Faisal University, 2022) Al-Amoudi, Abrar Saeed; Abdur Rab, Irfan Ullah7 0