# name
MALDI-TOF/MS identification of species from the Acinetobacter
                baumannii (Ab) group revisited: inclusion of the novel A.
                seifertii and A. dijkshoorniae species

# metadata.dc.description.abstract[].value
OBJECTIVES: Rapid identification of Acinetobacter species is
                critical since members of the A. baumannii (Ab) group differ in
                antibiotic susceptibility and clinical outcomes. A. baumannii,
                A. pittii and A. nosocomialis can be identified by MALDI-TOF/MS,
                while the novel species A. seifertii and A. dijkshoorniae
                cannot. Low identification rates for A. nosocomialis have also
                been reported. We evaluated the use of MALDI-TOF/MS to identify
                isolates of A. seifertii and A. dijkshoorniae and revisited the
                identification of A. nosocomialis to update the Bruker taxonomy
                database. METHODS: Species characterisation was performed by
                rpoB-clustering and MLSA. MALDI-TOF/MS spectra were recovered
                from formic acid/acetonitrile bacterial extracts overlaid with
                alpha-cyano-4-hydroxy-cinnamic acid matrix on a MicroflexLT in
                linear positive mode and 2,000-20,000 m/z range mass. Spectra
                were examined with the ClinProTools v2.2 software. Mean spectra
                (MSP) were created with the BioTyper software. RESULTS:
                Seventy-eight Acinetobacter isolates representative of the Ab
                group were used to calculate the average spectra/species and
                generate pattern recognition models. Species-specific peaks were
                identified for all species, and MSPs derived from 3 A.
                seifertii, 2 A. dijkshoorniae and 2 A. nosocomialis strains were
                added to the Bruker taxonomy database, allowing successful
                identification of all isolates using spectra from either
                bacterial extracts or direct colonies, resulting in a positive
                predictive value (PPV) of 99.6% (777/780) and 96.8% (302/312),
                respectively. CONCLUSIONS: The use of post-processing data
                software identified statistically significant species-specific
                peaks to generate reference signatures for rapid accurate
                identification of species within the Ab group, providing
                relevant information for the clinical management of
                Acinetobacter infections.

# metadata.dc.relation.isformatof[].value
Versió postprint del document publicat a:
                http://dx.doi.org/10.1016/j.cmi.2016.11.020

# metadata.dc.relation.ispartof[].value
Clinical Microbiology and Infection, 2016

# metadata.dc.source[].value
Articles publicats en revistes (ISGlobal)

# metadata.dc.title[].value
MALDI-TOF/MS identification of species from the Acinetobacter
                baumannii (Ab) group revisited: inclusion of the novel A.
                seifertii and A. dijkshoorniae species