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Cluster analysis identifies patients at risk of catheter-associated urinary tract infections in intensive care units: findings from the SPIN-UTI Network.
J Hosp Infect. 2021 Jan;107:57-63. doi: 10.1016/j.jhin.2020.09.030. Epub 2020 Oct 2.
J Hosp Infect. 2021.
PMID: 33017617
Free article.
The intertwining of healthcare-associated infections and COVID-19 in Italian intensive care units: an analysis of the SPIN-UTI project from 2006 to 2021.
Barchitta M, Maugeri A, Favara G, Lio RMS, La Rosa MC, D'Ancona F, Agodi A; SPIN-UTI network.
Barchitta M, et al.
J Hosp Infect. 2023 Oct;140:124-131. doi: 10.1016/j.jhin.2023.07.021. Epub 2023 Aug 9.
J Hosp Infect. 2023.
PMID: 37562591
Free article.
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A machine learning approach to predict healthcare-associated infections at intensive care unit admission: findings from the SPIN-UTI project.
Barchitta M, Maugeri A, Favara G, Riela PM, Gallo G, Mura I, Agodi A; SPIN-UTI Network.
Barchitta M, et al.
J Hosp Infect. 2021 Jun;112:77-86. doi: 10.1016/j.jhin.2021.02.025. Epub 2021 Mar 5.
J Hosp Infect. 2021.
PMID: 33676936
Free article.
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Antibiotic consumption and resistance: results of the SPIN-UTI project of the GISIO-SItI.
Agodi A, Auxilia F, Barchitta M, Brusaferro S, D'Errico MM, Montagna MT, Pasquarella C, Tardivo S, Mura I; SPIN-UTI network of the GISIOWorking Group of the Italian Society of Hygiene, Preventive Medicine and Public Health (SItI).
Agodi A, et al.
Epidemiol Prev. 2015 Jul-Aug;39(4 Suppl 1):94-8.
Epidemiol Prev. 2015.
PMID: 26499423
Free article.
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