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Title: Results from a nationwide atrial fibrillation screening effort in Belgium
Authors: GRUWEZ, Henri 
Snoeck, W.
Evens, S.
VIJGEN, Johan 
De Waroux, J. B. Le Polain
Vandekerckhove, Y.
Pison, L.
HAEMERS, Phoebe 
NUYENS, Dieter 
Blankoff, I
Mairesse, G.
Willems , R.
Editors: Chindelevitch, Leonid
Issue Date: 2022
Source: EUROPEAN HEART JOURNAL, 43 (12) , p. 536
Abstract: Monitoring and investigating temporal trends in antimicrobial data is a high priority for human and animal health authorities. Timely detection of temporal changes in antimicrobial resistance (AMR) can rely not only on monitoring and analyzing the proportion of resistant isolates based on the use of a clinical or epidemiological cutoff value, but also on more subtle changes and trends in the full distribution of minimum inhibitory concentration (MIC) values. The nature of the MIC distribution is categorical and ordinal (discrete). In this contribution , we developed a particular family of multicategory logit models for estimating and modelling MIC distributions over time. It allows the detection of a multitude of temporal trends in the full discrete distribution, without any assumption on the underlying continuous distribution for the MIC values. The experimental ranges of the serial dilution experiments may vary across laboratories and over time. The proposed categorical model allows to estimate the MIC distribution over the maximal range of the observed experiments, and allows the observed ranges to vary across labs and over time. The use and performance of the model is illustrated with two datasets on AMR in Salmonella.
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ISSN: 0195-668X
e-ISSN: 1522-9645
DOI: 10.1371/journal.pone.0277866
ISI #: 000894947902635
Category: M
Type: Journal Contribution
Appears in Collections:Research publications

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