ArticleAnnals of medicine and surgery (2012)2022
Prevalence of multidrug-resistant strains in device associated nosocomial infection and their in vitro killing by nanocomposites.
Article in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Prevalence of nosocomial infections in intensive care units and the role of the infection prevention and control team in implementing protective measures - a case study of a university hospital in Morocco.GMS hygiene and infection control · 2026Article
- Evaluation ofCurrent drug delivery · 2025Article
- Antibacterial and Antibiofilm Potential of Ethanolic Extracts ofPlants (Basel, Switzerland) · 2024Article
- Device-Associated Nosocomial Infections in Intensive Care Units at Al-Ahsa Hospitals, Saudi Arabia.Cureus · 2023Article
- EnhancedCurrent medical mycology · 2023Article
- Novel Biocompatible Green Silver Nanoparticles Efficiently Eliminates Multidrug Resistant Nosocomial Pathogens and Mycobacterium Species.Indian journal of microbiology · 2023Article
- Antibacterial Screening of Isoespintanol, an Aromatic Monoterpene Isolated fromMolecules (Basel, Switzerland) · 2022Article
- Therapeutic Intervention for Various Hospital Setting Strains of Biofilm FormingPharmaceutics · 2022Article
- Intrinsic resistance: A non-negligible bacterial trait.Annals of medicine and surgery (2012) · 2022Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As per WHO, global burden of healthcare-associated infections (HAIs) ranges between 7% and 12%. There is a dire need to screen Device associated nosocomial infections (DANIs) in hospitals(1). To investigate the prevalence of microbes in hospitals in DANI cases and analyse in vitro control of multi-drug resistant strains by nanotechnology intervention. Methods: Patients diagnosed with DANI were enrolled and monitored. Identification and antibiotic susceptibility pattern of the etiological agent of DANIs were made by the phenotypic method and Vitek 2 automated systems according to standard protocol. In addition, biosynthesized nanocomposite was analysed for their antimicrobial activity by agar well-diffusion method, CFU count and DNA degradation analysis. Results: There were a total of 324 patients diagnosed with DANIs. Total 369 microbial pathogens were isolated from DANI patients. The majority (87%) of the pathogenic microbes were gram-negative bacilli and all were multidrug-resistant. 41.5% of the gram-negative isolates were ESBL producers. Methicillin-resistant Conclusions: DANI, which was found in patients of all age groups, us due to multidrug-resistant gram-negative bacteria. The most commn causative agents were
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