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Andrea Sudano Roccaro, Claude-James Soussy, Francesco Giuliano, Maria Grazia Mazzone; Inference of netilmicin resistance rate for Staphylococci ocular isolates in France. Invest. Ophthalmol. Vis. Sci. 2019;60(9):839.
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© ARVO (1962-2015); The Authors (2016-present)
The aim of this work was to establish whether the data collected by the Observatoire National de l’Epidémiologie de la Résistance Bactérienne aux Antibiotiques (ONERBA) may be usefully employed to infer antibiotics resistance rates expected for ocular isolates in France.
Incidence of resistances to erythromycin (E), tobramycin (T), netilmicin (N), methicillin (M), and ciprofloxacin (C) were retrieved from the study by Sanfilippo (SF) et al. (Curr Eye Res. 2016; 41:581-9.) and compared to matching data gathered from the 2016 ONERBA report. Because of cross-resistances, frequency of resistance to N was referred to data concerning gentamicin (G).
Percent frequencies of Staphylococcus aureus (SA) resistance for E, T, N, M and C were: 22.6, 9.5, 1.6, 9.1, 14.7 and 25.95, 5,6, 1.15, 15, 16.5 for SF and ONERBA data sets, respectively. No significant difference was found between the two data sets (p>0.05, t-test) that were shown to be significantly correlated (Pearson’s r=0.93, p=0.02). The analysis allowed to establish a rank order of SA resistance to antibiotics so that E>C>T>M>N. Conversely, percent frequencies of Coagulase negative Staphylococci (CoNS) resistance for E, T, N, M and C were: 58.5, 39.9, 20.4, 55.3, 25.9 and 61, 66.7, 50, 70, 52.5 for SF and ONERBA data sets, respectively. The two sets of data were found to differ significantly (p<0.05, t-test) and not correlated (Pearson’s r=0.79, p=0.105). No antibiotic resistance ranking was drawn since no correlation between the two data sets could be demonstrated.
ONERBA database appears to be representative of SA resistances previously reported by SF for ocular isolates in several European countries. Conversely, it is not possible to demonstrate a significant correlation between the two data sets with regard to CoNS resistances to the antibiotics included in the analysis. However, it is to be noticed that N is superior to the other molecules in terms of incidence of resistance in both SF and ONERBA sets. Therefore, at this stage of the analysis, the ONERBA database appears to be useful in predicting only SA resistance rates towards antibiotics that, like netilmicin, are not used in current ophthalmological clinical practice in France.
This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.
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