970 resultados para machine fault diagnosis
Resumo:
Sixty eight patients with localized cutaneous leishmaniasis from an area with Leishmania (Viannia) braziliensis transmission had cultures performed with a modified Marzochi´s vacuum aspiratory puncture technique to establish sensitivity and contamination rate with this new method. Overall sensitivity of three aspirates was 47.1%; (CI95% 39.4; 59.4) significantly greater than the sensitivity of a single one aspirate. Fungal contamination was observed in 6/204 (2.9%) inoculated culture tubes. We recommend that this useful technique should be adopted as routine for primary isolation of L. (V.) braziliensis from localized cutaneous ulcers.
Resumo:
Fabry disease is caused by a deficiency of a-galactosidase A which leads to the progressive intra-lysosomal accumulation of ceramide trihexoside (CTH), also known as globotriaosylceramide (Gb3), in different cell types and body fluids. The clinical manifestations are multisystemic and predominantly affect the heart, kidney and central nervous system. The role of CTH in the pathophysiological process of Fabry disease is not established, and the link between the degree of accumulation and disease manifestations is not systematic. The use of CTH as a diagnostic tool has been proposed for several decades. The recent introduction of a specific treatment for Fabry disease in the form of enzyme replacement therapy (ERT) has led to the need for a biological marker, in place of a clinical sign, for evaluating the efficacy of treatment and also as a tool for following the long term effects of treatment. The ideal biomarker must adhere to strict criteria, and there should be a correlation between the degree of clinical efficacy of treatment and a change in its concentration. This review of the literature assesses the utility of CTH as a diagnostic tool and as a marker of the efficacy of ERT in patients with Fabry disease. Several techniques have been developed for measuring CTH; the principles and the sensitivity thresholds of these methods and the units used to express the results should be taken into consideration when interpreting data. The use of CTH measurement in Fabry disease should be re-evaluated in light of recent published data.
Resumo:
Personality Disorder: A Diagnosis for Inclusion - The Northern Ireland Personality Disorder Strategy - The Way Forward - June 2010
Resumo:
Malaria is generally diagnosed by microscopy and rapid antigen testing. Molecular methods become more widely used. In the present study, the contribution of a quantitative multiplex malaria PCR was investigated. We assessed: (i) the agreement between PCR-based identification and microscopy and (ii) the correlation between the parasite load as determined by quantitative PCR and by microscopy. For 83 patients positive by microscopy for Plasmodium spp., the first EDTA-blood sample was tested by multiplex PCR to confirm smear-based species identification. Parasite load was assessed daily using both microscopy and PCR. Among the 83 patients tested, one was positive by microscopy only and 82 were positive by microscopy and PCR. Agreement between microscopy and PCR for the identification at the species level was 89% (73/82). Six of the nine discordant results corresponded to co-infections by two or three species and were attributed to inaccurate morphological identification of mixed cases. The parasite load generally decreased rapidly after treatment had been started, with similar decay curves being obtained using both microscopy and PCR. Our PCR proved especially useful for identifying mixed infections. The quantification obtained by PCR closely correlated with microscopy-based quantification and could be useful for monitoring treatment efficacy, at least in clinical trials.
Resumo:
Giant cell arteritis (GCA) (or Horton's disease) is a systemic disease affecting the vessels of medium and large sizes. The incidence increases with age (the disease develops rarely before age 50) and the etiology remains unknown. Clinical manifestations may vary (including asthenia, temporal headache, visual disturbances, etc.) and GCA can potentially lead to dramatic consequences (permanent loss of vision). Although some anomalies in the investigations may help in the diagnosis of GCA, research and confirmation of the diagnosis of GCA may be difficult, especially when the symptoms presented by patients are spread out in time and appear to be nonspecific at first.
Resumo:
Background: Microbiological diagnostic procedures have changed significantly over the last decade. Initially the implementation of the polymerase chain reaction (PCR) resulted in improved detection tests for microbes that were difficult or even impossible to detect by conventional methods such as culture and serology, especially in community-acquired respiratory tract infections (CA-RTI). A further improvement was the development of real-time PCR, which allows end point detection and quantification, and many diagnostic laboratories have now implemented this powerful method. Objective: At present, new performant and convenient molecular tests have emerged targeting in parallel many viruses and bacteria responsible for lower and/or upper respiratory tract infections. The range of test formats and microbial agents detected is evolving very quickly and the added value of these new tests needs to be studied in terms of better use of antibiotics, better patient management, duration of hospitalization and overall costs. Conclusions: Molecular tools for a better microbial documentation of CA-RTI are now available. Controlled studies are now required to address the relevance issue of these new methods, such as, for example, the role of some newly detected respiratory viruses or of the microbial DNA load in a particular patient at a particular time. The future challenge for molecular diagnosis will be to become easy to handle, highly efficient and cost-effective, delivering rapid results with a direct impact on clinical management.
Resumo:
The paper presents an approach for mapping of precipitation data. The main goal is to perform spatial predictions and simulations of precipitation fields using geostatistical methods (ordinary kriging, kriging with external drift) as well as machine learning algorithms (neural networks). More practically, the objective is to reproduce simultaneously both the spatial patterns and the extreme values. This objective is best reached by models integrating geostatistics and machine learning algorithms. To demonstrate how such models work, two case studies have been considered: first, a 2-day accumulation of heavy precipitation and second, a 6-day accumulation of extreme orographic precipitation. The first example is used to compare the performance of two optimization algorithms (conjugate gradients and Levenberg-Marquardt) of a neural network for the reproduction of extreme values. Hybrid models, which combine geostatistical and machine learning algorithms, are also treated in this context. The second dataset is used to analyze the contribution of radar Doppler imagery when used as external drift or as input in the models (kriging with external drift and neural networks). Model assessment is carried out by comparing independent validation errors as well as analyzing data patterns.