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1.
Photochem Photobiol Sci ; 16(9): 1349-1370, 2017 Sep 13.
Artículo en Inglés | MEDLINE | ID: mdl-28848959

RESUMEN

The UV Index was established more than 20 years ago as a tool for sun protection and health care. Shortly after its introduction, UV Index monitoring started in several countries either by newly acquired instruments or by converting measurements from existing instruments into the UV Index. The number of stations and networks has increased over the years. Currently, 160 stations in 25 European countries deliver online values to the public via the Internet. In this paper an overview of these UV Index monitoring sites in Europe is given. The overview includes instruments as well as quality assurance and quality control procedures. Furthermore, some examples are given about how UV Index values are presented to the public. Through these efforts, 57% of the European population is supplied with high quality information, enabling them to adapt behaviour. Although health care, including skin cancer prevention, is cost-effective, a proportion of the European population still doesn't have access to UV Index information.

2.
Med Mycol Case Rep ; 6: 70-2, 2014 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-25473600

RESUMEN

Central venous catheter-related fungemia are increasing in the last years, also due to rare fungi. We report the case of a Candida utilis catheter-related bloodstream infection in a patient with metastatic carcinoma of the bladder and a long term totally implanted venous catheter. The diagnosis was done by paired blood cultures and differential time to positivity. The Candida species was rapidly identified by MALDI-TOF mass spectrometry. The patient was successfully treated with anidulafungine.

3.
J Infect Dev Ctries ; 8(9): 1081-8, 2014 Sep 12.
Artículo en Inglés | MEDLINE | ID: mdl-25212071

RESUMEN

Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) has recently emerged as a powerful technique for identification of microorganisms, changing the workflow of well-established laboratories so that its impact on microbiological diagnostics has been unparalleled. In comparison with conventional identification methods that rely on biochemical tests and require long incubation procedures, MALDI-TOF MS has the advantage of identifying bacteria and fungi directly from colonies grown on culture plates in a few minutes and with simple procedures. Numerous studies on different systems available demonstrate the reliability and accuracy of the method, and new frontiers have been explored besides microbial species level identification, such as direct identification of pathogens from positive blood cultures, subtyping, and drug susceptibility detection.


Asunto(s)
Bacterias/aislamiento & purificación , Infecciones Bacterianas/diagnóstico , Hongos/aislamiento & purificación , Técnicas Microbiológicas/métodos , Micosis/diagnóstico , Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción/métodos , Bacterias/química , Bacterias/clasificación , Infecciones Bacterianas/microbiología , Hongos/química , Hongos/clasificación , Humanos , Micosis/microbiología
4.
J Clin Microbiol ; 52(5): 1453-8, 2014 May.
Artículo en Inglés | MEDLINE | ID: mdl-24554755

RESUMEN

In recent studies evaluating the usefulness of the matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)-based identification of yeasts for the routine diagnosis of fungal infections, preanalytical sample processing has emerged as a critical step for reliable MALDI-TOF MS outcomes, especially when the Bruker Daltonics Biotyper software was used. In addition, inadequate results often occurred due to discrepancies between the methods used for clinical testing and database construction. Therefore, we created an in-house MALDI-TOF MS library using the spectra from 156 reference and clinical yeast isolates (48 species in 11 genera), which were generated with a fast sample preparation procedure. After a retrospective validation study, our database was evaluated on 4,232 yeasts routinely isolated during a 6-month period and fast prepared for MALDI-TOF MS analysis. Thus, 4,209 (99.5%) of the isolates were successfully identified to the species level (with scores of ≥2.0), with 1,676 (39.6%) having scores of >2.3. For the remaining 23 (0.5%) isolates, no reliable identification (with scores of <1.7) was obtained. Interestingly, these isolates were almost always from species uniquely represented or not included in the database. As the MALDI-TOF MS results were, except for 23 isolates, validated without additional phenotypic or molecular tests, our proposed strategy can enhance the rapidity and accuracy of MALDI-TOF MS in identifying medically important yeast species. However, while continuous updating of our database will be necessary to enrich it with more strains/species of new and emerging yeasts, the present in-house MALDI-TOF MS library can be made publicly available for future multicenter studies.


Asunto(s)
Levaduras/química , Levaduras/aislamiento & purificación , Fraccionamiento Químico/métodos , Bases de Datos Factuales , Estudios Prospectivos , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción/métodos
5.
J Clin Microbiol ; 51(9): 2964-9, 2013 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-23824764

RESUMEN

The widespread use of antifungal agents, which is likely to expand with their enhanced availability, has promoted the emergence of drug-resistant strains. Antifungal susceptibility testing (AFST) is now an essential procedure for guiding appropriate antifungal therapy. Recently, we developed a matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)-based method that enables the detection of fungal isolates with reduced echinocandin susceptibility, relying on the proteome changes that are detectable after a 15-h exposure of fungal cells to serial drug concentrations. Here, we describe a simplified version of this approach that facilitates discrimination of the susceptible and resistant isolates of Candida albicans after a 3-h incubation in the presence of "breakpoint" level drug concentrations of the echinocandin caspofungin (CSF). Spectra at concentrations of 0 (null), 0.03 (intermediate), and 32 (maximal) µg/ml of CSF were used to create individual composite correlation index (CCI) matrices for 65 C. albicans isolates, including 13 fks1 mutants. Isolates are then classified as susceptible or resistant to CSF if the CCI values of spectra at 0.03 and 32 µg/ml are higher or lower, respectively, than the CCI values of spectra at 0.03 and 0 µg/ml. In this way, the drug resistance of C. albicans isolates to echinocandin antifungals can be quickly assessed. Furthermore, the isolate categorizations determined using MALDI-TOF MS-based AFST (ms-AFST) were consistent with the wild-type and mutant FKS1 genotypes and the AFST reference methodology. The ms-AFST approach may provide a rapid and reliable means of detecting emerging antifungal resistance and accelerating the initiation of appropriate antifungal treatment.


Asunto(s)
Antifúngicos/farmacología , Candida albicans/química , Equinocandinas/farmacología , Proteoma/análisis , Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción/métodos , Candida albicans/efectos de los fármacos , Caspofungina , Proteínas Fúngicas/análisis , Humanos , Lipopéptidos , Pruebas de Sensibilidad Microbiana/métodos , Factores de Tiempo
6.
J Clin Microbiol ; 51(7): 2453-7, 2013 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-23678071

RESUMEN

We report the first comparative evaluation between the Bruker Biotyper MS (BMS) and the Vitek MS (VMS) for the identification of yeasts. The rate of correct identifications at the species level was comparable using the commercial databases (89.8% versus 84.3%; P = 0.712), but higher for BMS using an in-house-extended database (100% versus 84.3%; P = 0.245). Importantly, the rate of misidentification was significantly higher for VMS (1% versus 12.1%; P < 0.0001), including the rate of major errors (0% versus 4.5%; P = 0.0036).


Asunto(s)
Técnicas Microbiológicas/métodos , Técnicas de Tipificación Micológica/métodos , Micología/métodos , Micosis/diagnóstico , Micosis/microbiología , Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción/métodos , Levaduras/clasificación , Errores Diagnósticos/estadística & datos numéricos , Humanos , Factores de Tiempo , Levaduras/química , Levaduras/aislamiento & purificación , Levaduras/metabolismo
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