Prediction of Post-Weaning Fibrinogen Status during Cardiopulmonary Bypass: An Observational Study in 110 Patients.

BACKGROUND: After cardiac surgery with cardiopulmonary bypass (CPB), acquired coagulopathy often leads to post-CPB bleeding. Though multifactorial in origin, this coagulopathy is often aggravated by deficient fibrinogen levels. OBJECTIVE: To assess whether laboratory and thrombelastometric testing on CPB can predict plasma fibrinogen immediately after CPB weaning. PATIENTS / METHODS: This prospective study in 110 patients undergoing major cardiovascular surgery at risk of post-CPB bleeding compares fibrinogen level (Clauss method) and function (fibrin-specific thrombelastometry) in order to study the predictability of their course early after termination of CPB. Linear regression analysis and receiver operating characteristics were used to determine correlations and predictive accuracy. RESULTS: Quantitative estimation of post-CPB Clauss fibrinogen from on-CPB fibrinogen was feasible with small bias (+0.19 g/l), but with poor precision and a percentage of error >30%. A clinically useful alternative approach was developed by using on-CPB A10 to predict a Clauss fibrinogen range of interest instead of a discrete level. An on-CPB A10 ≤10 mm identified patients with a post-CPB Clauss fibrinogen of ≤1.5 g/l with a sensitivity of 0.99 and a positive predictive value of 0.60; it also identified those without a post-CPB Clauss fibrinogen <2.0 g/l with a specificity of 0.83. CONCLUSIONS: When measured on CPB prior to weaning, a FIBTEM A10 ≤10 mm is an early alert for post-CPB fibrinogen levels below or within the substitution range (1.5-2.0 g/l) recommended in case of post-CPB coagulopathic bleeding. This helps to minimize the delay to data-based hemostatic management after weaning from CPB.

Bile duct stones, strictures and iatrogenic lesions: studies on early diagnosis and treatment.

Aims: This study was carried out to investigate the role of common liver function tests, and the degree of common bile duct dilatation in the differential diagnosis of extrahepatic cholestasis, as well as the occurrence, diagnosis and treatment of iatrogenic bile duct injuries. In bile duct injuries, special attention was paid to gender and severity distribution and long-term results. Patients and methods: All consecutive patients with diagnosed common bile duct stones or malignant strictures in ERCP between August 2000 and November 2003. Common liver function tests were measured in the morning before ERCP on all of these 212 patients, and their common bile duct diameter was measured from ERCP films. Between January 1995 and April 2002, 3736 laparoscopic cholecystectomies were performed and a total of 32 bile duct injuries were diagnosed. All pre-, per-, and postoperative data were collected retrospectively; and the patients were also interviewed by phone. Results: Plasma bilirubin proved to be the best discriminator between CBD stones and malignant strictures (p≤0.001 compared to other liver function tests and degree of common bile duct dilatation). The same effect was seen in Receiver Operating Characteristics curves (AUC 0.867). With a plasma bilirubin cut-off value of 145 μmol/l, four out of five patients could be classified correctly. The degree of common bile duct dilatation proved to be worthless in differential diagnostics. After laparoscopic cholecystectomy the total risk for bile duct injury was 0.86%, including cystic duct leaks. 86% of severe injuries and 88% of injuries requiring operative treatment were diagnosed in females. All the cystic duct leakages and 87% of the strictures were treated endoscopically. Good long-term results were seen in 84% of the whole study population. Conclusions: Plasma bilirubin is the most effective liver function test in differential diagnosis between CBD stones and malignant strictures. The only value of common bile duct dilatation is its ability to verify the presence of extrahepatic cholestasis. Female gender was associated with higher number of iatrogenic bile duct injuries, and in particular, most of the major complications occur in females. Most of the cystic duct leaks and common bile duct strictures can be treated endoscopically. The long-term results in our institution are at an internationally acceptable level.

Eye Fundus Image Analysis for Automatic Detection of Diabetic Retinopathy

Diabetes is a rapidly increasing worldwide problem which is characterised by defective metabolism of glucose that causes long-term dysfunction and failure of various organs. The most common complication of diabetes is diabetic retinopathy (DR), which is one of the primary causes of blindness and visual impairment in adults. The rapid increase of diabetes pushes the limits of the current DR screening capabilities for which the digital imaging of the eye fundus (retinal imaging), and automatic or semi-automatic image analysis algorithms provide a potential solution. In this work, the use of colour in the detection of diabetic retinopathy is statistically studied using a supervised algorithm based on one-class classification and Gaussian mixture model estimation. The presented algorithm distinguishes a certain diabetic lesion type from all other possible objects in eye fundus images by only estimating the probability density function of that certain lesion type. For the training and ground truth estimation, the algorithm combines manual annotations of several experts for which the best practices were experimentally selected. By assessing the algorithm’s performance while conducting experiments with the colour space selection, both illuminance and colour correction, and background class information, the use of colour in the detection of diabetic retinopathy was quantitatively evaluated. Another contribution of this work is the benchmarking framework for eye fundus image analysis algorithms needed for the development of the automatic DR detection algorithms. The benchmarking framework provides guidelines on how to construct a benchmarking database that comprises true patient images, ground truth, and an evaluation protocol. The evaluation is based on the standard receiver operating characteristics analysis and it follows the medical practice in the decision making providing protocols for image- and pixel-based evaluations. During the work, two public medical image databases with ground truth were published: DIARETDB0 and DIARETDB1. The framework, DR databases and the final algorithm, are made public in the web to set the baseline results for automatic detection of diabetic retinopathy. Although deviating from the general context of the thesis, a simple and effective optic disc localisation method is presented. The optic disc localisation is discussed, since normal eye fundus structures are fundamental in the characterisation of DR.

Carga viral do papilomavirus humano na predição da gravidade de lesões cervicais em mulheres com atipias celulares na colpocitologia oncológica

OBJETIVO: avaliar o desempenho da carga viral do HPV por captura de híbridos II (CHII) na predição da gravidade das lesões cervicais. MÉTODOS: foram incluídas 309 mulheres admitidas por resultado anormal da colpocitologia oncológica (CO) entre agosto de 200 e novembro de 2002. Todas foram submetidas a avaliação histológica, sendo que a presença de neoplasia intra-epitelial cervical (NIC) grau 2 ou mais (NIC 3, carcinoma invasor) foi considerada doença grave. A CHII foi realizada para tipos de HPV de alto risco oncogênico e a carga viral medida em unidades relativas de luz (URL). O desempenho da CHII foi avaliado por curva receiver operating characteristics (ROC). RESULTADOS: na avaliação histológica, 140 (45,3%) mulheres apresentavam cervicite ou NIC 1 e 199 (54,7%), NIC 2/3, adenocarcinoma in situ ou câncer invasor. O melhor ponto de corte da CHII para a detecção de doença grave foi 35 URL, com sensibilidade de 69% e especificidade de 70%. O valor preditivo positivo das alterações compatíveis com lesão de alto grau na CO associado a CHII de 35 URL (unidades relativas de luz) foi de 88,2% para a detecção de NIC 2 ou mais. Já 95,7% das mulheres com lesões de baixo grau na CO e CHII menor que 1 URL não apresentaram lesões histológicas graves. CONCLUSÃO: o melhor desempenho da CHII no diagnóstico de NIC 2 ou lesão mais grave foi encontrado com 35 URL. A associação da CO com a CHII em diferentes cargas virais mostrou valores preditivos positivos e negativos muito altos.

Dopplerfluxometria de ducto venoso: identificação não invasiva da acidemia em fetos prematuros centralizados

OBJETIVO: estabelecer o ponto de corte a partir do qual seja possível identificar fetos prematuros com centralização do fluxo sangüíneo que apresentem gasometria anormal. MÉTODO: foi realizado estudo observacional transversal, cuja população consistia de 60 gestantes com fetos centralizados (relação umbílico-cerebral maior que 1), com idade gestacional entre 25 e 33 semanas. O ducto venoso foi identificado com auxílio da dopplerfluxometria colorida e obtida a relação S/A a partir do sonograma (relação entre a velocidade de pico da sístole ventricular e a velocidade de pico da sístole atrial). Imediatamente após a cesariana foi colhida amostra de sangue da veia umbilical para gasometria. Os conceptos foram classificados de acordo com a análise gasométrica e considerados anormais quando pH <7,20 e BE < -6 mmol/l. Após o cálculo da sensibilidade e especificidade para cada ponto de corte foi construída a curva ROC (receiver operator characteristic). RESULTADOS: foram selecionadas 60 gestantes no período de janeiro de 1998 a janeiro de 2003. No momento do estudo a idade gestacional variou entre 25 e 33 semanas, média de 29,7 semanas (±1,8 semanas). Todos os fetos apresentavam-se centralizados; dentre eles 14 apresentavam gasometria anormal ao nascimento e 46 apresentavam gasometria normal. A prevalência de resultados de fetos com gasometria anormal no material estudado foi de 23,33%. Observou-se associação significativa entre o resultado anormal do ducto venoso e gasometria anormal ao nascimento (chi2 = 784,44, p < 0,00001). O ponto de corte da relação S/A (onde a curva ROC "muda de tendência") foi 3,4. CONCLUSÃO: a análise da relação S/A do ducto venoso se mostra adequada para a predição não invasiva de gasometria anormal em fetos prematuros, centralizados, quando os valores são superiores a 3,4.

Diagnóstico da restrição de crescimento fetal pela relação diâmetro transverso do cerebelo e circunferência abdominal

OBJETIVO: testar a validade da relação diâmetro transverso do cerebelo (DTC)/circunferência abdominal (CA) no diagnóstico da restrição de crescimento fetal (RCF), determinando seu melhor ponto de corte e acurácia nas restrições simétrica e assimétrica. MÉTODOS: estudo prospectivo, transversal, envolvendo 250 gestantes com gravidez única, idade gestacional entre a 20ª e a 42ª semana, confirmada por ultra-sonografia. A medida do DTC foi obtida colocando-se os calipers nas margens externas do cerebelo, após sua localização na fossa posterior, com suave rotação do transdutor abaixo do plano do tálamo. A circunferência abdominal foi medida na junção das veias porta esquerda e umbilical. O melhor ponto de corte da relação DTC/CA foi obtido pela curva ROC (receiver operator characteristic). Os neonatos cujas relações DTC/CA foram maiores do que o ponto de corte selecionado foram considerados com RCF. Consideraram-se padrão-ouro para o diagnóstico de RCF recém-nascidos cujos pesos situaram-se abaixo do percentil 10. Neonatos com RCF e índice ponderal de Rohrer entre 2,2 e 3 foram considerados simétricos e abaixo de 2,2, assimétricos. RESULTADOS: o ponto de corte da relação DTC/CA, obtido pela curva ROC foi 16,1. A sensibilidade, especificidade, acurácia, valores preditivos positivo e negativo e razões de verossimilhança positiva e negativa foram de 77,4; 82,6; 38,7; 96,3; 82; 4,5 e 3,7%, respectivamente. Na RCF simétrica a sensibilidade e especificidade foram de 80,8 e 81,7%, respectivamente. Na assimétrica, a sensibilidade e especificidade foram de 60 e 75%, respectivamente. CONCLUSÃO: a relação DTC/CA mostrou-se eficaz no diagnóstico da RCF simétrica e assimétrica.

Punção aspirativa de linfonodo axilar guiada pela ultrassonografia é eficaz como método de predição de acometimento linfonodal em pacientes com câncer de mama?

OBJETIVO: Avaliar a viabilidade e acurácia diagnóstica da ultrassonografia pré-operatória combinada com biopsia por agulha fina (US-PAAF) e do exame clínico da axila em pacientes com câncer de mama. MÉTODOS: Neste estudo prospectivo 171 axilas de pacientes com câncer de mama foram avaliadas pelo exame clínico e ultrassonografia (US) com e sem biopsia por agulha fina (PAAF). Os linfonodos com espessura cortical maior que 2,3 mm na ultrassonografia foram considerados suspeitos e submetidos a US-PAAF. RESULTADOS: A análise de regressão logística não mostrou correlação estatisticamente significativa entre exame clínico e axilas positivas no exame patológico. Em relação à avaliação axilar com US, o risco de achados anatomopatológicos positivos aumentou 12,6 vezes, valor Kappa de Cohen foi de 0,12 para exame clínico, 0,48 para US e 0,80 para US-PAAF. A acurácia foi de 61,4% para o exame clínico, 73,1% para os US e 90,1% para US-PAAF. Análise Receiver Operating Chracteristics (ROC) mostrou que uma espessura de 2,75 mm cortical correspondeu à mais elevada sensibilidade e especificidade na predição metástase axilar (82,7 e 82,2%, respectivamente). CONCLUSÕES: A US combinada com aspiração por agulha fina é mais precisa que o exame clínico na avaliação do status axilar no pré-operatório em mulheres com câncer de mama. Aquelas que são US-PAAF positivo podem ser direcionadas para esvaziamento linfonodal axilar imediatamente, e somente aqueles que são US-PAAF negativos devem ser considerados para biópsia de linfonodo sentinela.

Energy-efficient control strategies for variable speed driven parallel pumping systems based on pump operation point monitoring with frequency converters

The pumping processes requiring wide range of flow are often equipped with parallelconnected centrifugal pumps. In parallel pumping systems, the use of variable speed control allows that the required output for the process can be delivered with a varying number of operated pump units and selected rotational speed references. However, the optimization of the parallel-connected rotational speed controlled pump units often requires adaptive modelling of both parallel pump characteristics and the surrounding system in varying operation conditions. The available information required for the system modelling in typical parallel pumping applications such as waste water treatment and various cooling and water delivery pumping tasks can be limited, and the lack of real-time operation point monitoring often sets limits for accurate energy efficiency optimization. Hence, alternatives for easily implementable control strategies which can be adopted with minimum system data are necessary. This doctoral thesis concentrates on the methods that allow the energy efficient use of variable speed controlled parallel pumps in system scenarios in which the parallel pump units consist of a centrifugal pump, an electric motor, and a frequency converter. Firstly, the suitable operation conditions for variable speed controlled parallel pumps are studied. Secondly, methods for determining the output of each parallel pump unit using characteristic curve-based operation point estimation with frequency converter are discussed. Thirdly, the implementation of the control strategy based on real-time pump operation point estimation and sub-optimization of each parallel pump unit is studied. The findings of the thesis support the idea that the energy efficiency of the pumping can be increased without the installation of new, more efficient components in the systems by simply adopting suitable control strategies. An easily implementable and adaptive control strategy for variable speed controlled parallel pumping systems can be created by utilizing the pump operation point estimation available in modern frequency converters. Hence, additional real-time flow metering, start-up measurements, and detailed system model are unnecessary, and the pumping task can be fulfilled by determining a speed reference for each parallel-pump unit which suggests the energy efficient operation of the pumping system.

Linguistic models for decision support

Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.

The relationship between body mass index and breast cancer recurrence/progression and breast cancer-specific death

The aim of this study was to describe the nonlinear association between body mass index (BMI) and breast cancer outcomes and to determine whether BMI improves prediction of outcomes. A cohort of906 breast cancer patients diagnosed at Henry Ford Health System, Detroit (1985-1990) were studied. The median follow-up was 10 years. Multivariate logistic regression was used to model breast cancer recurrence/progression and breast cancer-specific death. Restricted cubic splines were used to model nonlinear effects. Receiver operator characteristic areas under the curves (ROC AUC) were used to evaluate prediction. BMI was nonlinearly associated with recurrence/progression and death (p= 0.0230 and 0.0101). Probability of outcomes increased with increase or decrease ofBMI away from 25. BMI splines were suggestive of improved prediction of death. The ROC AUCs for nested models with and without BMI were 0.8424 and 0.8331 (p= 0.08). I f causally associated, modifying patients BMI towards 25 may improve outcomes.

Développement et validation d’un index de prédiction des risques d’institutionnalisation et de décès pour le contrôle des variables confondantes non-mesurées dans la population âgée

Le biais de confusion est un défi majeur des études observationnelles, surtout s'ils sont induits par des caractéristiques difficiles, voire impossibles, à mesurer dans les banques de données administratives de soins de santé. Un des biais de confusion souvent présents dans les études pharmacoépidémiologiques est la prescription sélective (en anglais « prescription channeling »), qui se manifeste lorsque le choix du traitement dépend de l'état de santé du patient et/ou de son expérience antérieure avec diverses options thérapeutiques. Parmi les méthodes de contrôle de ce biais, on retrouve le score de comorbidité, qui caractérise l'état de santé d'un patient à partir de médicaments délivrés ou de diagnostics médicaux rapportés dans les données de facturations des médecins. La performance des scores de comorbidité fait cependant l'objet de controverses car elle semble varier de façon importante selon la population d'intérêt. Les objectifs de cette thèse étaient de développer, valider, et comparer les performances de deux scores de comorbidité (un qui prédit le décès et l’autre qui prédit l’institutionnalisation), développés à partir des banques de services pharmaceutiques de la Régie de l'assurance-maladie du Québec (RAMQ) pour leur utilisation dans la population âgée. Cette thèse vise également à déterminer si l'inclusion de caractéristiques non rapportées ou peu valides dans les banques de données administratives (caractéristiques socio-démographiques, troubles mentaux ou du sommeil), améliore la performance des scores de comorbidité dans la population âgée. Une étude cas-témoins intra-cohorte fut réalisée. La cohorte source consistait en un échantillon aléatoire de 87 389 personnes âgées vivant à domicile, répartie en une cohorte de développement (n=61 172; 70%) et une cohorte de validation (n=26 217; 30%). Les données ont été obtenues à partir des banques de données de la RAMQ. Pour être inclus dans l’étude, les sujets devaient être âgés de 66 ans et plus, et être membres du régime public d'assurance-médicaments du Québec entre le 1er janvier 2000 et le 31 décembre 2009. Les scores ont été développés à partir de la méthode du Framingham Heart Study, et leur performance évaluée par la c-statistique et l’aire sous les courbes « Receiver Operating Curves ». Pour le dernier objectif qui est de documenter l’impact de l’ajout de variables non-mesurées ou peu valides dans les banques de données au score de comorbidité développé, une étude de cohorte prospective (2005-2008) a été réalisée. La population à l'étude, de même que les données, sont issues de l'Étude sur la Santé des Aînés (n=1 494). Les variables d'intérêt incluaient statut marital, soutien social, présence de troubles de santé mentale ainsi que troubles du sommeil. Tel que décrit dans l'article 1, le Geriatric Comorbidity Score (GCS) basé sur le décès, a été développé et a présenté une bonne performance (c-statistique=0.75; IC95% 0.73-0.78). Cette performance s'est avérée supérieure à celle du Chronic Disease Score (CDS) lorsqu'appliqué dans la population à l'étude (c-statistique du CDS : 0.47; IC 95%: 0.45-0.49). Une revue de littérature exhaustive a montré que les facteurs associés au décès étaient très différents de ceux associés à l’institutionnalisation, justifiant ainsi le développement d'un score spécifique pour prédire le risque d'institutionnalisation. La performance de ce dernier s'est avérée non statistiquement différente de celle du score de décès (c-statistique institutionnalisation : 0.79 IC95% 0.77-0.81). L'inclusion de variables non rapportées dans les banques de données administratives n'a amélioré que de 11% la performance du score de décès; le statut marital et le soutien social ayant le plus contribué à l'amélioration observée. En conclusion, de cette thèse, sont issues trois contributions majeures. D'une part, il a été démontré que la performance des scores de comorbidité basés sur le décès dépend de la population cible, d'où l'intérêt du Geriatric Comorbidity Score, qui fut développé pour la population âgée vivant à domicile. D'autre part, les médicaments associés au risque d'institutionnalisation diffèrent de ceux associés au risque de décès dans la population âgé, justifiant ainsi le développement de deux scores distincts. Cependant, les performances des deux scores sont semblables. Enfin, les résultats indiquent que, dans la population âgée, l'absence de certaines caractéristiques ne compromet pas de façon importante la performance des scores de comorbidité déterminés à partir de banques de données d'ordonnances. Par conséquent, les scores de comorbidité demeurent un outil de recherche important pour les études observationnelles.

Distributions d'auto-amorçage exactes ponctuelles des courbes ROC et des courbes de coûts

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

How well does the ECMWF Ensemble Prediction System predict blocking?

Forecasting atmospheric blocking is one of the main problems facing medium-range weather forecasters in the extratropics. The European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System (EPS) provides an excellent basis for medium-range forecasting as it provides a number of different possible realizations of the meteorological future. This ensemble of forecasts attempts to account for uncertainties in both the initial conditions and the model formulation. Since 18 July 2000, routine output from the EPS has included the field of potential temperature on the potential vorticity (PV) D 2 PV units (PVU) surface, the dynamical tropopause. This has enabled the objective identification of blocking using an index based on the reversal of the meridional potential-temperature gradient. A year of EPS probability forecasts of Euro-Atlantic and Pacific blocking have been produced and are assessed in this paper, concentrating on the Euro-Atlantic sector. Standard verification techniques such as Brier scores, Relative Operating Characteristic (ROC) curves and reliability diagrams are used. It is shown that Euro-Atlantic sector-blocking forecasts are skilful relative to climatology out to 10 days, and are more skilful than the deterministic control forecast at all lead times. The EPS is also more skilful than a probabilistic version of this deterministic forecast, though the difference is smaller. In addition, it is shown that the onset of a sector-blocking episode is less well predicted than its decay. As the lead time increases, the probability forecasts tend towards a model climatology with slightly less blocking than is seen in the real atmosphere. This small under-forecasting bias in the blocking forecasts is possibly related to a westerly bias in the ECMWF model. Copyright © 2003 Royal Meteorological Society

Testing isotherm models and recovering empirical relationships for adsorption in microporous carbons using virtual carbon models and grand canonical Monte Carlo simulations

Using the plausible model of activated carbon proposed by Harris and co-workers and grand canonical Monte Carlo simulations, we study the applicability of standard methods for describing adsorption data on microporous carbons widely used in adsorption science. Two carbon structures are studied, one with a small distribution of micropores in the range up to 1 nm, and the other with micropores covering a wide range of porosity. For both structures, adsorption isotherms of noble gases (from Ne to Xe), carbon tetrachloride and benzene are simulated. The data obtained are considered in terms of Dubinin-Radushkevich plots. Moreover, for benzene and carbon tetrachloride the temperature invariance of the characteristic curve is also studied. We show that using simulated data some empirical relationships obtained from experiment can be successfully recovered. Next we test the applicability of Dubinin's related models including the Dubinin-Izotova, Dubinin-Radushkevich-Stoeckli, and Jaroniec-Choma equations. The results obtained demonstrate the limits and applications of the models studied in the field of carbon porosity characterization.

Comparison of signal-to-cutoff values in first, second, and third generation enzyme immunoassays for the diagnosis of HTLV-1/2 infection in ""at-risk"" individuals from Sao Paulo, Brazil

Data obtained during routine diagnosis of human T-cell lymphotropic virus type 1 (HTLV-1) and 2 (HTLV-2) in ""at-risk"" individuals from Sao Paulo, Brazil using signal-to-cutoff (S/C) values obtained by first, second, and third generation enzyme immunoassay (EIA) kits, were compared. The highest S/C values were obtained with third generation EIA kits, but no correlation was detected between these values and specific antibody reactivity to HTLV-1, HTLV-2, or untyped HTLV (p = 0.302). In addition, use of these third generation kits resulted in HTLV-1/2 false-positive samples. In contrast, first and second generation EIA kits showed high specificity, and the second generation EIA kits showed the highest efficiency, despite lower S/C values. Using first and second generation EIA kits, significant differences in specific antibody detection of HTLV-1, relative to HTLV-2 (p = 0.019 for first generation and p < 0.001 for second generation EIA kits) and relative to untyped HTLV (p = 0.025 for first generation EIA kits), were observed. These results were explained by the composition and format of the assays. In addition, using receiver operating characteristics (ROC) analysis, a slight adjustment in cutoff values for third generation EIA kits improved their specificities and should be used when HTLV ""at-risk"" populations from this geographic area are to be evaluated. (C) 2009 Elsevier B.V. All rights reserved.