Evidence map›Paper›PMID 29151993›Full record

ArticleThe open microbiology journal2017

Antibiotic Based Phenotype and Hospital Admission Profile are the Most Likely Predictors of Genotyping Classification of MRSA.

Ali M Bazzi, Jaffar A Al-Tawfiq, Ali A Rabaan, Dianne Neal, Aimee Ferraro, Mahmoud M Fawarah

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Article in The open microbiology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ali M BazziMicrobiology Lab, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.
Jaffar A Al-TawfiqSpecialty Internal Medicine, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.
Ali A RabaanMolecular Diagnostic Lab, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.
Dianne NealSchool of Health Sciences, Walden University, Minneapolis, USA.
Aimee FerraroSchool of Health Sciences, Walden University, Minneapolis, USA.
Mahmoud M FawarahMicrobiology Lab, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethicillin-resistant

objectiveIn this study, concordance of classification methods based on clinical characteristics or antibiotic susceptibility compared to the gold standard genotyping was assessed in the classification of MRSA.

methodsWe compared the genotypes and phenotypes of MRSA in 133 samples taken from patients in Saudi Arabia. Statistical analyses included concordance, specificity and sensitivity, and logistic regression modeling.

resultsThere was fair a definite agreement between the health care risk and infection type methods (

conclusionThe use of a standardized phenotyping technique, using susceptibility pattern and hospital admission profiles to classify MRSA infections as either HA-MRSA or CA-MRSA, would facilitate diagnosis, infection control efforts, prevention, and assignment of appropriate therapies. The ability to use phenotyping in the classification of these strains would improve efforts to contend with this adept and evolving bacterial organism.

Indexed as

CA-MRSAGenotypingHA-MRSAMRSAPhenotypingSaudi ArabiaSusceptibility Pattern

Identifiers

PMID29151993
PMCPMC5678371

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.