Novel method using a laser scanning cytometer for detection of Mycobacteria in clinical samples

In order to evaluate the capacity of laser scanning cytometry (LSC) to detect acid-fast bacilli directly on clinical samples, a comparison between Kinyoun-stained smears analyzed under light microscopy and propidium iodide-auramine-stained smears analyzed by LSC was performed. The results were compared with those for culture on BACTEC MGIT 960. LSC is a new, reliable methodology to detect Mycobacteria.

Validade da versão em português da Clinical Dementia Rating

OBJETIVO: Analisar a validade da versão em português da Clinical Dementia Rating para classificar a função cognitiva de idosos. MÉTODOS: Utilizou-se o instrumento Mini-Mental State Examination para rastreamento de déficit cognitivo em coorte composta por 424 idosos. Foram selecionados todos que obtiveram escores <26 (108 idosos) e 48 idosos com escores >26. Os 156 idosos selecionados foram submetidos a uma avaliação clínica e testes neuropsicológicos para diagnóstico de casos de demência. Tanto os casos como os não-casos foram classificados segundo a versão em português da Clinical Dementia Rating em: normais, casos questionáveis e casos de demência leve, moderada ou grave. RESULTADOS: Entre os 156 avaliados, 122 eram não-casos, destes 62 (51%) foram classificados como normais (CDR=0) e questionáveis 60 (49%) (CDR=0,5). Entre os 34 casos de demência, 17 (50%) foram classificados como demência leve (CDR=1), 8 (23%) moderada (CDR=2) e 6 (18%) grave (CDR=3). Apenas três (9%) dos casos foram considerados questionáveis pelo Clinical Dementia Rating. Sua sensibilidade foi de 91,2% e a especificidade de 100%, com valor preditivo positivo de 100% e negativo de 97,6%. As pontuações no Mini-Mental State Examination declinaram significativamente conforme o grau de demência. CONCLUSÕES: O Clinical Dementia Rating mostrou ser instrumento válido para classificar o grau de demência entre idosos. Quase metade dos não-casos foram casos questionáveis pelo Clinical Dementia Rating e podem corresponder a casos de transtorno cognitivo leve, com maior risco de conversão em demência.

Intersubjectivity and a practical intersubjective ethics of translation

This essay suggests that the intersubjectivity in translation should be given priority because different stages of the translation activity have different subjects, and presents a practical intersubjective ethics of translation based on an interpretation of the intersubjective relations connected with translation activities in a perspective of game theory in the hope that it can equip us with better explanations of the translator’s calculations or considerations in the professional practice.

Reliability of nasal auscultation and their relation to middle ear condition – a clinical interest to pediatrics respiratory physiotherapy

Background: Acute respiratory infections are usual in children under three years old occurring in upper respiratory tract, having an impact on child and caregiver’s quality of life predisposing to otitis media or bronchiolitis. There are few valid and reliable measures to determine the child’s respiratory condition and to guide the physiotherapy intervention. Aim: To assess the intra and inter rater reliability of nasal auscultation, to analyze the relation between sounds’ classification and middle ear’s pressure and compliance as well as with the Clinical Severity Score. Methods: A cross-sectional observational study was composed by 125 nursery children aged up to three years old. Tympanometry, pulmonary and nasal auscultation and application of Clinical Severity Score were performed to each child. Nasal auscultation sounds’ were recorded and sent to 3 blinded experts, that classified, as “obstructed” and “unobstructed”, with a 48 hours interval, in order to analyze inter and intra rater reliability. Results: Nasal auscultation revealed a substantial inter and intra rater reliability (=0,749 and evaluator A - K= 0,691; evaluator B - K= 0,605 and evaluator C - K= 0,724, respectively). Both ears’ pressure was significantly lower in children with an "unobstructed" nasal sound when compared with an “obstructed” nasal sound (t=-3,599, p<0,001 in left ear; t=-2,258, p=0,026 in right ear). Compliance in both ears was significantly lower in children with an "obstructed" nasal sound when compared with “unobstructed” nasal sound (t=-2,728, p=0,007 in left ear; t=-3,830, p<0,001 in right ear). There was a statistically significant association between sounds’ classification and tympanograms types in both ear’s (=11,437, p=0,003 in left ear; =13,535, p=0,001 in right ear). There was a trend to children with an "unobstructed" nasal sound that had a lower clinical severity score when compared with “obstructed” children. Conclusion: It was observed a good intra and substantial inter reliability for nasal auscultation. Nasal auscultation sounds’ classification was related to middle ears’ pressure and compliance.

Chronic liver disease staging classification based on ultrasound, clinical and laboratorial data

In this work the identification and diagnosis of various stages of chronic liver disease is addressed. The classification results of a support vector machine, a decision tree and a k-nearest neighbor classifier are compared. Ultrasound image intensity and textural features are jointly used with clinical and laboratorial data in the staging process. The classifiers training is performed by using a population of 97 patients at six different stages of chronic liver disease and a leave-one-out cross-validation strategy. The best results are obtained using the support vector machine with a radial-basis kernel, with 73.20% of overall accuracy. The good performance of the method is a promising indicator that it can be used, in a non invasive way, to provide reliable information about the chronic liver disease staging.

Diffuse liver disease classification from ultrasound surface characterization, clinical and laboratorial data

In this work liver contour is semi-automatically segmented and quantified in order to help the identification and diagnosis of diffuse liver disease. The features extracted from the liver contour are jointly used with clinical and laboratorial data in the staging process. The classification results of a support vector machine, a Bayesian and a k-nearest neighbor classifier are compared. A population of 88 patients at five different stages of diffuse liver disease and a leave-one-out cross-validation strategy are used in the classification process. The best results are obtained using the k-nearest neighbor classifier, with an overall accuracy of 80.68%. The good performance of the proposed method shows a reliable indicator that can improve the information in the staging of diffuse liver disease.