Search results for "Predictive value of test"

showing 10 items of 854 documents

Urinary tract infections in children: EAU/ESPU guidelines.

2015

Context: In 30% of children with urinary tract anomalies, urinary tract infection (UTI) can be the first sign. Failure to identify patients at risk can result in damage to the upper urinary tract.Objective: To provide recommendations for the diagnosis, treatment, and imaging of children presenting with UTI.Evidence acquisition: The recommendations were developed after a review of the literature and a search of PubMed and Embase. A consensus decision was adopted when evidence was low.Evidence synthesis: UTIs are classified according to site, episode, symptoms, and complicating factors. For acute treatment, site and severity are the most important. Urine sampling by suprapubic aspiration or c…

Maleurologic and male genital diseasesPediatricsSeverity of Illness IndexESPUVOIDING CYSTOURETHROGRAPHYFollow-up imagingSuprapubic aspirationRisk FactorsDiagnosisguidelinesAntibiotic prophylaxisChildChildrenObstructive uropathyUpper urinary tractUrinary tract infectionDiagnostic Techniques Urologicalfemale genital diseases and pregnancy complicationsAnti-Bacterial AgentsTreatment OutcomeEAUAntibacterial treatmentUrinary Tract InfectionsFemalePRIMARY VESICOURETERAL REFLUXmedicine.symptomYOUNG-CHILDRENmedicine.medical_specialtyUrologyRenal scarUrologyBacteriuriaCONTROLLED-TRIALSUPRAPUBIC ASPIRATIONVesicoureteral reflux1ST FEBRILE UTIANTIBIOTIC-PROPHYLAXISPredictive Value of TestsUrine samplingInternal medicineUltrasoundmedicineHumansTRANSABDOMINAL ULTRASOUNDACUTE PYELONEPHRITISbusiness.industryInfant NewbornInfantmedicine.diseasePyuriaTreatmentLeukocyte esteraseFOLLOW-UPbusinessEuropean urology
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Basis of predictive mycology.

2005

Abstract For over 20 years, predictive microbiology focused on food-pathogenic bacteria. Few studies concerned modelling fungal development. On one hand, most of food mycologists are not familiar with modelling techniques; on the other hand, people involved in modelling are developing tools dedicated to bacteria. Therefore, there is a tendency to extend the use of models that were developed for bacteria to moulds. However, some mould specificities should be taken into account. The use of specific models for predicting germination and growth of fungi was advocated previously [ Dantigny, P., Guilmart, A., Bensoussan, M., 2003. Basis of predictive mycology. In Proceedings of the 4th Internatio…

Management scienceEcologyFungiTemperatureGeneral MedicineMycologyBiologyMicrobiologyModels BiologicalKineticsSpecies SpecificityPredictive Value of TestsMycologyFood MicrobiologyPredictive microbiologyPredictive modellingFood ScienceInternational journal of food microbiology
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TOPS-MODE approach for the prediction of blood-brain barrier permeation.

2004

The blood-brain barrier permeation has been investigated by using a topological substructural molecular design approach (TOPS-MODE). A linear regression model was developed to predict the in vivo blood-brain partitioning coefficient on a data set of 119 compounds, treated as the logarithm of the blood-brain concentration ratio. The final model explained the 70% of the variance and it was validated through the use of an external validation set (33 compounds of the 119, MAE = 0.33), a leave-one-out crossvalidation (q(2) = 0.65, S(press) = 0.43), fivefold full crossvalidation (removing 28 compounds in each cycle, MAE = 33, RMSE = 0.43) and the prediction of +/- values for an external test set …

Mean squared errorLogarithmChemistryPharmaceutical ScienceThermodynamicsPenetration (firestop)PermeationConcentration ratioModels BiologicalPartition coefficientCapillary PermeabilityBlood-Brain BarrierPredictive Value of TestsTest setLinear regressionLinear ModelsComputer SimulationJournal of pharmaceutical sciences
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CD28, a marker associated with tumoral expansion in multiple myeloma

1998

International audience; CD28 expression was thoroughly investigated on plasma cells of monoclonal gammopathy of undetermined significance, multiple myeloma (MM), and human myeloma cell lines. CD28+ plasma cells were detected in 19% of 31 monoclonal gammopathy of undetermined significance, 41% of 116 MM, and 100% of 13 human myeloma cell lines. CD28+ myeloma cells were detected in 21 of 79 (26%) MM cases at diagnosis, 13 of 22 (59%) at medullary relapse (P < 0.009), and 14 of 15 (93%) at extramedullary relapse (P = 0.05), including 10 of 10 (100%) secondary plasma cell leukemias (P = 0.05). Serial studies in individual patients confirmed the emergence of CD28+ myeloma cells with tumoral expa…

Membrane GlycoproteinsParaproteinemiasNeoplasms Second Primarychemical and pharmacologic phenomenahemic and immune systemsCD56 AntigenCell LineLeukemia Plasma CellCD28 AntigensAntigens CDBone MarrowPredictive Value of TestsRecurrence[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]hemic and lymphatic diseasesB7-1 AntigenBiomarkers TumorDisease ProgressionTumor Cells CulturedHumansB7-2 AntigenTreatment Failure[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Multiple Myeloma[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Applying Support Vector Machines for Gene Ontology based gene function prediction.

2004

Abstract Background The current progress in sequencing projects calls for rapid, reliable and accurate function assignments of gene products. A variety of methods has been designed to annotate sequences on a large scale. However, these methods can either only be applied for specific subsets, or their results are not formalised, or they do not provide precise confidence estimates for their predictions. Results We have developed a large-scale annotation system that tackles all of these shortcomings. In our approach, annotation was provided through Gene Ontology terms by applying multiple Support Vector Machines (SVM) for the classification of correct and false predictions. The general perform…

Methodology ArticleGenes FungalGenes ProtozoanComputational BiologyGenes Insectlcsh:Computer applications to medicine. Medical informaticsGenes PlantRatsMiceXenopus laevislcsh:Biology (General)GenesArtificial IntelligenceGenes BacterialPredictive Value of TestsDatabases Geneticlcsh:R858-859.7AnimalsNeural Networks Computerlcsh:QH301-705.5Genes HelminthBMC bioinformatics
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Sevoflurane-induced reduction of bispectral index does not affect human cerebral microcirculation

2015

Methyl EthersTime FactorsIntraoperative Neurophysiological Monitoringmedicine.medical_treatmentAffect (psychology)SevofluraneSevoflurane03 medical and health sciencesConsciousness Monitors0302 clinical medicinePredictive Value of Tests030202 anesthesiologyGermanymedicineHumansAnesthesiaCerebral microcirculationReduction (orthopedic surgery)Cross-Over Studiesbusiness.industryMicrocirculationReproducibility of ResultsElectroencephalographySignal Processing Computer-AssistedBrain WavesAnesthesiology and Pain MedicineCerebrovascular CirculationBispectral indexAnesthesiaAnesthetics InhalationbusinessAlgorithmsCraniotomy030217 neurology & neurosurgerymedicine.drugEuropean Journal of Anaesthesiology
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PREVALENCE OF PERTUSSIS IgG ANTIBODIES IN CHILDREN IN PALERMO, ITALY

1989

The prevalence of IgG antibodies to Bordetella pertussis in a sample of 615 1-12-year-old unvaccinated children in Palermo was estimated by ELISA. The overall prevalence was 56%; it increased from 24% in one to three-year-old children to 67% in 11-12-year-old children (p less than 0.01). IgG antibody prevalence was not associated with the father's years of schooling (OR 1), nor with the family size (OR 1.3; C.I. 95% = 0.8-2.2). For children aged one the three years, serological results showed that the history of pertussis reported by parents in questionnaires gave high specificity (93.2%) and negative predictive value (85.4%). Our seroepidemiological study evidences a great exposure of chil…

Microbiology (medical)Bordetella pertussisPediatricsmedicine.medical_specialtyWhooping CoughEnzyme-Linked Immunosorbent AssaySensitivity and SpecificitySerologyPredictive Value of TestsSeroepidemiologic StudiesEpidemiologyPrevalencemedicineHumansChildAntibody prevalencebiologybusiness.industryInfantGeneral MedicineElisa assaybiology.organism_classificationPredictive valueInfectious DiseasesItalyEl NiñoChild PreschoolImmunoglobulin Gbiology.proteinAntibodybusiness
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Immunological Diagnosis of Human Cystic Echinococcosis: Utility of Discriminant Analysis Applied to the Enzyme-Linked Immunoelectrotransfer Blot

1999

ABSTRACT An enzyme-linked immunoelectrotransfer blot for the diagnosis of human hydatid disease was performed, and the different antibody responses were analyzed by a discriminant analysis. This multivariate technique gave us, first, a selection of the most important responses against Echinococcus granulosus infection and, second, a procedure for the classification of patients into two groups: patients with hydatid disease and patients without a history of hydatid disease. This method was applied to 67 patients, 25 with active hydatid cysts (24 hepatic and 1 pulmonary) and 42 without a history of hydatid disease and was compared with the results obtained by conventional serology: indirect h…

Microbiology (medical)Echinococcosis HepaticPathologymedicine.medical_specialtyHemagglutinationImmunoblottingClinical BiochemistryImmunologyEnzyme-Linked Immunosorbent AssayBasophil degranulationArticleSerologyImmunological DiagnosisPredictive Value of Testsparasitic diseasesmedicineHumansImmunology and AllergyHyalinebusiness.industryHemagglutinationDiscriminant Analysisdigestive system diseasesBlotAgglutination (biology)Predictive value of testsbusinessClinical Diagnostic Laboratory Immunology
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Validation of intensive care unit-acquired infection surveillance in the Italian SPIN-UTI network

2010

Validity is one of the most critical factors concerning surveillance of nosocomial infections (NIs). This article describes the first validation study of the Italian Nosocomial Infections Surveillance in Intensive Care Units (ICUs) project (SPIN-UTI) surveillance data. The objective was to validate infection data and thus to determine the sensitivity, specificity, and positive and negative predictive values of NI data reported on patients in the ICUs participating in the SPIN-UTI network. A validation study was performed at the end of the surveillance period. All medical records including all clinical and laboratory data were reviewed retrospectively by the trained physicians of the validat…

Microbiology (medical)medicine.medical_specialtyMEDLINESensitivity and Specificitylaw.inventionlawPredictive Value of TestsIntensive carePositive predicative valueMedicineHumansIntensive care medicineRetrospective StudiesProtocol (science)Cross InfectionInfection Controlbusiness.industryMedical recordRetrospective cohort studyGeneral MedicineIntensive care unitIntensive Care UnitsInfectious DiseasesItalyPredictive value of testsEmergency medicinebusinessSentinel Surveillance
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Profiled support vector machines for antisense oligonucleotide efficacy prediction.

2004

Abstract Background This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises 315 AO molecules including 68 features each, inducing a problem well-suited to SVMs. The task of feature selection is crucial given the presence of noisy or redundant features, and the well-known problem of the curse of dimensionality. We propose a two-stage strategy to develop an optimal model: (1) feature selection using correlation analysis, mutual information, and SVM-based recursive feature elimination (SVM-RFE), and (2) AO prediction using standard and profiled SVM formulations. A profiled SVM gives d…

Models GeneticSoftware ValidationGene ExpressionProteinsOligonucleotides Antisenselcsh:Computer applications to medicine. Medical informaticslcsh:Biology (General)Predictive Value of TestsDatabases Geneticlcsh:R858-859.7RNAlcsh:QH301-705.5SoftwareResearch ArticleBMC bioinformatics
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