Výsledky vyhledávání - "Deirdre Broderick"

Akademický článek

Epidemiological typing of methicillin resistant Staphylococcus aureus recovered from patients attending a maternity hospital in Ireland 2014–2019

Autor: Deirdre Broderick, Gráinne I. Brennan, Richard J. Drew, Brian O'Connell

Publikováno v: Infection Prevention in Practice, Vol 3, Iss 1, Pp 100124- (2021)

Summary: It has previously been reported that maternity hospitals have lower levels of MRSA compared to other healthcare facilities, due to the patient population - mostly healthy patients with limited healthcare contact. In this epidemiological stud

Externí odkaz: https://doaj.org/article/195ae35746164d2bb90514eae701af2b

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Erythromycin compared to amoxicillin and azithromycin for antimicrobial prophylaxis for preterm premature rupture of the membranes: a retrospective study

Autor: Deirdre Broderick, Naomi McCallion, L. Clooney, Richard J. Drew, Alva Fitzgibbon, Maeve Eogan

Publikováno v: Journal of Obstetrics and Gynaecology. 41:569-572

Antimicrobial prophylaxis is widely recommended for pregnant women who have preterm premature rupture of the membranes. Erythromycin prophylaxis was used during an initial period (control) and then changed to intravenous amoxicillin for 48 h, followe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a21efdf168b4ea07fb2cdc1c0a1d5df7
https://doi.org/10.1080/01443615.2020.1786806

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Epidemiological typing of methicillin resistant

Autor: Deirdre, Broderick, Gráinne I, Brennan, Richard J, Drew, Brian, O'Connell

Publikováno v: Infection Prevention in Practice

Summary It has previously been reported that maternity hospitals have lower levels of MRSA compared to other healthcare facilities, due to the patient population - mostly healthy patients with limited healthcare contact. In this epidemiological study

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::86927420e69eb8c1182d41a16c206abc
https://pubmed.ncbi.nlm.nih.gov/34368740

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An interpretation algorithm for molecular diagnosis of bacterial vaginosis in a maternity hospital using machine learning: proof-of-concept study

Autor: Richard J. Drew, Thomas Murphy, Deirdre Broderick, Joanne O’Gorman, Maeve Eogan

Publikováno v: Diagnostic microbiology and infectious disease. 96(2)

Allplex Bacterial vaginosis assay (Seegene, South Korea) is a molecular test for bacterial vaginosis (BV). A machine learning algorithm was devised on 200 samples (BV = 23, non-BV = 177) converting 7 identified bacterial strains polymerase chain reac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c7b92fb667c94532bf2d4f6eeab8ef7
https://pubmed.ncbi.nlm.nih.gov/31836253

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