Seroprevalencia de marcadores de infecciones transmisibles por vía transfusional en banco de sangre de Colombia

OBJETIVO: Determinar la seroprevalencia de marcadores de infecciones transmisibles por vía transfusional. MÉTODOS: Estudio transversal con fuente de información secundaria, basada en los resultados de pruebas biológicas en los donantes de un banco de sangre de Medellín, Colombia, de 2007 a 2010. Se determinó la seroprevalencia de los marcadores de infección y se compararon según sexo y tipo de donante a través de análisis de frecuencias, chi cuadrado, Fisher y razones de prevalencia. RESULTADOS: La población de base estuvo conformada por 65.535 donantes de los cuales, 3,3% presentaran al menos una prueba biológica positiva. El marcador más prevalente en las pruebas del banco de sangre fue sífilis (1,2%), seguido de tripanosomiasis (1,0%), virus de la hepatitis C (VHC) (0,6%), virus de la inmunodeficiencia humana (VIH) (0,5%) y virus de la hepatitis B (VHB) (0,2%). Con base en el laboratorio de referencia se halló una prevalencia de 0,6% para sífilis, 0,1% para VHB y 0% para VHC, VIH y Chagas. Se hallaron diferencias estadísticas en la prevalencia de VHB y sífilis según sexo y tipo de donante. CONCLUSIONES: Los resultados son coherentes con las prevalencias dadas por la Organización Panamericana de la Salud (OPS) y se pueden correlacionar con la prevalencia mundial de las infecciones transmisibles por via transfusional. Los resultados hallados en las pruebas del banco de sangre posibilitan la disminución del riesgo transfusional pero limitan la optimización de recursos al excluir donantes clasificados como falsos positivos.

Controlo e optimização de sistemas AVAC recorrendo a técnicas de inteligência artificial

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Seroprevalencia de rubeola en Colombia: un análisis por cohorte de nacimiento

OBJETIVO : Estimar la seroprevalencia de rubéola y factores asociados. METODOS : Estudio de seroprevalencia poblacional con una muestra aleatoria de 2.124 individuos de seis a 64 años, representativa por edad, sexo y área en Medellín, Colombia, 2009. Se analizó la asociación de variables biológicas y socioeconómicas con la seroprotección para rubéola, según la cohorte del año de nacimiento antes (1954 a 1990) y después (1991 a 2003) del inicio de la vacunación universal. Se determinaron los títulos de IgG con pruebas de alta sensibilidad (AxSYM ® Rubella IgG – Laboratorio Abbott) y especificidad (VIDAS RUB IgG II ® – Laboratorio BioMerieux). Se estimaron proporciones y promedios ponderados derivados de un muestreo complejo incluyendo un factor de corrección por las diferencias en la participación por sexo. Se analizó la asociación de la protección por grupos de variables biológicas y sociales con un modelo de regresión logística, según la cohorte de nacimiento. RESULTADOS : Los títulos promedio de IgG fueron más altos en los nacidos antes del inicio de la vacunación (media 110 UI/ml; IC95% 100,5;120,2) que en los nacidos después (media 64 UI/ml; IC95% 54,4;72,8), p = 0,000. La proporción de protección fue creciente de 88,9% en los nacidos en 1990-1994, de 89,2% en 1995-1999 y de 92,1% en 2000 a 2003, posiblemente relacionado con la administración del refuerzo desde 1998. En los nacidos antes del inicio de la vacunación, la seroprotección estuvo asociada con el antecedente de contacto con casos (RD 2,6; IC95% 1,1;5,9), el estado de salud (RD 2,5; IC95% 1,05;6,0), el nivel de escolaridad (RD 0,2; IC95% 0,08;0,8) y los años de residencia del hogar en el barrio (RD 0,96; IC95% 0,98;1,0), luego de ajustar por todas las variables. En los nacidos después se asoció con el tiempo de sueño efectivo (RD 1,4; IC95%1,09;1,8) y el estado de salud (RD 5,5; IC95%1,2;23,8). CONCLUSIONES : La vacunación masiva generó un cambio en el perfil de seroprevalencia, siendo mayores los títulos en quienes nacieron antes del inicio de la vacunación. Se recomienda monitorear el sostenimiento del nivel de protección a largo plazo y concertar acciones para el mejoramiento de las condiciones socioeconómicas potencialmente asociadas.

Evaluation of dengue fever reports during an epidemic, Colombia

OBJECTIVE To assess the validity of dengue fever reports and how they relate to the definition of case and severity. METHODS Diagnostic test assessment was conducted using cross-sectional sampling from a universe of 13,873 patients treated during the fifth epidemiological period in health institutions from 11 Colombian departments in 2013. The test under analyses was the reporting to the National Public Health Surveillance System, and the reference standard was the review of histories identified by active institutional search. We reviewed all histories of patients diagnosed with dengue fever, as well as a random sample of patients with febrile syndromes. The specificity and sensitivity of reports were estimated for this purpose, considering the inverse of the probability of being selected for weighting. The concordance between reporting and the findings of the active institutional search was calculated using Kappa statistics. RESULTS We included 4,359 febrile patients, and 31.7% were classified as compatible with dengue fever (17 with severe dengue fever; 461 with dengue fever and warning signs; 904 with dengue fever and no warning signs). The global sensitivity of reports was 13.2% (95%CI 10.9;15.4) and specificity was 98.4% (95%CI 97.9;98.9). Sensitivity varied according to severity: 12.1% (95%CI 9.3;14.8) for patients presenting dengue fever with no warning signs; 14.5% (95%CI 10.6;18.4) for those presenting dengue fever with warning signs, and 40.0% (95%CI 9.6;70.4) for those with severe dengue fever. Concordance between reporting and the findings of the active institutional search resulted in a Kappa of 10.1%. CONCLUSIONS Low concordance was observed between reporting and the review of clinical histories, which was associated with the low reporting of dengue fever compatible cases, especially milder cases.

Environmental Decision Support: a Distributed Artificial Intelligence Approach

Decision making in any environmental domain is a complex and demanding activity, justifying the development of dedicated decision support systems. Every decision is confronted with a large variety and amount of constraints to satisfy as well as contradictory interests that must be sensibly accommodated. The first stage of a project evaluation is its submission to the relevant group of public (and private) agencies. The individual role of each agency is to verify, within its domain of competence, the fulfilment of the set of applicable regulations. The scope of the involved agencies is wide and ranges from evaluation abilities on the technical or economical domains to evaluation competences on the environmental or social areas. The second project evaluation stage involves the gathering of the recommendations of the individual agencies and their justified merge to produce the final conclusion. The incorporation and accommodation of the consulted agencies opinions is of extreme importance: opinions may not only differ, but can be interdependent, complementary, irreconcilable or, simply, independent. The definition of adequate methodologies to sensibly merge, whenever possible, the existing perspectives while preserving the overall legality of the system, will lead to the making of sound justified decisions. The proposed Environmental Decision Support System models the project evaluation activity and aims to assist developers in the selection of adequate locations for their projects, guaranteeing their compliance with the applicable regulations.

Multiple Linear Regression and Artificial Neural Networks to Predict Time and Efficiency of Soil Vapor Extraction

The prediction of the time and the efficiency of the remediation of contaminated soils using soil vapor extraction remain a difficult challenge to the scientific community and consultants. This work reports the development of multiple linear regression and artificial neural network models to predict the remediation time and efficiency of soil vapor extractions performed in soils contaminated separately with benzene, toluene, ethylbenzene, xylene, trichloroethylene, and perchloroethylene. The results demonstrated that the artificial neural network approach presents better performances when compared with multiple linear regression models. The artificial neural network model allowed an accurate prediction of remediation time and efficiency based on only soil and pollutants characteristics, and consequently allowing a simple and quick previous evaluation of the process viability.

Solar Intensity Forecasting using Artificial Neural Networks and Support Vector Machines

This paper presents several forecasting methodologies based on the application of Artificial Neural Networks (ANN) and Support Vector Machines (SVM), directed to the prediction of the solar radiance intensity. The methodologies differ from each other by using different information in the training of the methods, i.e, different environmental complementary fields such as the wind speed, temperature, and humidity. Additionally, different ways of considering the data series information have been considered. Sensitivity testing has been performed on all methodologies in order to achieve the best parameterizations for the proposed approaches. Results show that the SVM approach using the exponential Radial Basis Function (eRBF) is capable of achieving the best forecasting results, and in half execution time of the ANN based approaches.

Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science.

A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information Systems.

Trypanosoma cruzi parasitemia observed in immunocompromised patients: the importance of the artificial xenodiagnosis

Trypanosoma cruzi parasitemia observed in immunocompromised patients (transplant or positive HIV) occurred more frequently by the artificial xenodiagnosis method (10/38) compared with hemoculture (2/38), given the same quantity of blood. Other ways of diagnosis, like mice inoculation (5/38), QBC and buffy coat (2/38), were evaluated also. This result showed the importance of the artificial xenodiagnosis. The other techniques increased only one more patient positive.

Clinical and laboratory findings of Plasmodium vivax malaria in Colombia, 2001

A descriptive study was carried out in 104 patients with Plasmodium vivax malaria, from the region of Turbo (Antioquia, Colombia). Clinical features and levels of hemoglobin, glycemia, serum bilirubin, alanine-aminotransferase (ALT), aspartate-aminotransferase (AST), creatinine and complete blood cell profile were established. 65% of the studied individuals were men and their mean age was 23. Of all individuals 59% had lived in the region for > 1 year and 91% were resident in the rural area. 42% were farmers and 35% had a history of malaria. The mean parasitaemia was 5865 parasites/mm³. The evolution of the disease was short (average of 4.0 days). Fever, headache and chills were observed simultaneously in 91% of the cases while the most frequent signs were palmar pallor (46%), jaundice (15%), hepatomegaly (17%), and spleen enlargement (12%). Anemia was found in 39% of the women and in 51% of the men, 8% of individuals had thrombocytopaenia and 41% had hypoglycemia.

Artificial antibodies for troponin T by its imprinting on the surface of multiwalled carbon nanotubes: Its use as sensory surfaces

A novel artificial antibody for troponin T (TnT) was synthesized by molecular imprint (MI) on the surface of multiwalled carbon nanotubes (MWCNT). This was done by attaching TnT to the MWCNT surface, and filling the vacant spaces by polymerizing under mild conditions acrylamide (monomer) in N,N′-methylenebisacrylamide (cross-linker) and ammonium persulphate (initiator). After removing the template, the obtained biomaterial was able to rebind TnT and discriminate it among other interfering species. Stereochemical recognition of TnT was confirmed by the non-rebinding ability displayed by non-imprinted (NI) materials, obtained by imprinting without a template. SEM and FTIR analysis confirmed the surface modification of the MWCNT. The ability of this biomaterial to rebind TnT was confirmed by including it as electroactive compound in a PVC/plasticizer mixture coating a wire of silver, gold or titanium. Anionic slopes of 50 mV decade−1 were obtained for the gold wire coated with MI-based membranes dipped in HEPES buffer of pH 7. The limit of detection was 0.16 μg mL−1. Neither the NI-MWCNT nor the MWCNT showed the ability to recognize the template. Good selectivity was observed against creatinine, sucrose, fructose, myoglobin, sodium glutamate, thiamine and urea. The sensor was tested successfully on serum samples. It is expected that this work opens new horizons on the design of new artificial antibodies for complex protein structures.

Biomimetic Sensor Potentiometric System for Doxycycline Antibiotic Using a Molecularly Imprinted Polymer as an Artificial Recognition Element

Molecular imprinting is a useful technique for the preparation of functional materials with molecular recognition properties. A Biomimetic Sensor Potentiometric System was developed for assessment of doxycycline (DOX) antibiotic. The molecularly imprinted polymer (MIP) was synthesized by using doxycycline as a template molecule, methacrylic acid (MAA) and/or acrylamide (AA) as a functional monomer and ethylene glycol dimethacrylat (EGDMA) as a cross-linking agent. The sensing elements were fabricated by the inclusion of DOX imprinted polymers in polyvinyl chloride (PVC) matrix. The sensors showed a high selectivity and a sensitive response to the template in aqueous system. Electrochemical evaluation of these sensors under static (batch) mode of operation reveals near-Nernstian response. MIP/MAA membrane sensor was incorporated in flow-through cells and used as detectors for flow injection analysis (FIA) of DOX. The method has the requisite accuracy, sensitivity and precision to assay DOX in tablets and biological fluids.

BoaVista – Sensor Dedicado de Visão Artificial Baseado em Hardware (Re)configurável

4º Festival Nacional de Robótica - Actas do Encontro Científico - Proceedings of the Scientific Meeting, Biblioteca Almeida Garrett, Palácio de Cristal – Porto, 23-24 Abril 2004