The use of expert systems on the differential diagnosis of urinary incontinence

The differential diagnosis of urinary incontinence classes is sometimes difficult to establish. As a rule, only the results of urodynamic testing allow an accurate diagnosis. However, this exam is not always feasible, because it requires special equipment, and also trained personnel to lead and interpret the exam. Some expert systems have been developed to assist health professionals in this field. Therefore, the aims of this paper are to present the definition of Artificial Intelligence; to explain what Expert System and System for Decision Support are and its application in the field of health and to discuss some expert systems for differential diagnosis of urinary incontinence. It is concluded that expert systems may be useful not only for teaching purposes, but also as decision support in daily clinical practice. Despite this, for several reasons, health professionals usually hesitate to use the computer expert system to support their decision making process.

Decision support system for the diagnosis of schizophrenia disorders

Clinical decision support systems are useful tools for assisting physicians to diagnose complex illnesses. Schizophrenia is a complex, heterogeneous and incapacitating mental disorder that should be detected as early as possible to avoid a most serious outcome. These artificial intelligence systems might be useful in the early detection of schizophrenia disorder. The objective of the present study was to describe the development of such a clinical decision support system for the diagnosis of schizophrenia spectrum disorders (SADDESQ). The development of this system is described in four stages: knowledge acquisition, knowledge organization, the development of a computer-assisted model, and the evaluation of the system's performance. The knowledge was extracted from an expert through open interviews. These interviews aimed to explore the expert's diagnostic decision-making process for the diagnosis of schizophrenia. A graph methodology was employed to identify the elements involved in the reasoning process. Knowledge was first organized and modeled by means of algorithms and then transferred to a computational model created by the covering approach. The performance assessment involved the comparison of the diagnoses of 38 clinical vignettes between an expert and the SADDESQ. The results showed a relatively low rate of misclassification (18-34%) and a good performance by SADDESQ in the diagnosis of schizophrenia, with an accuracy of 66-82%. The accuracy was higher when schizophreniform disorder was considered as the presence of schizophrenia disorder. Although these results are preliminary, the SADDESQ has exhibited a satisfactory performance, which needs to be further evaluated within a clinical setting.

O desenvolvimento dos "Diagnosis Related Groups"- DRGs. Metodologia de classificação de pacientes hospitalares

É descrito o processo de desenvolvimento do sistema de classificação de pacientes internados em hospitais que atendem casos agudos, denominada Diagnosis Relatd Group - DRGs, desenvolvido e difundido por pesquisadores da Universidade de Yale, USA. Esse sistema vem a ser um instrumento que permite a mensuração do produto hospitalar, principalmente sob o ponto de vista gerencial. São apresentadas considerações acerca do que é entendido como produto hospitalar, seguindo nos meandros do desenvolvimento dos primeiros DRGs, até a mais recente revisão do sistema. É descrita sua utilização em alguns países e diversos usos potenciais desse sistema, que abrangem desde o uso para pagamento a instrumento de controle de qualidade.

Estimativa de validade de um novo método de isolamento de vírus rábico

OBJETIVOS: Nenhum estudo de base populacional foi realizado para mostrar o uso potencial de diagnóstico virológico do vírus rábico. O estudo realizado teve por objetivo estimar parâmetros de acurácia para o isolamento de vírus rábico em célula McCoy, como um método alternativo, e comparar com o uso da célula N2A, considerada método de referência. MÉTODOS: Foi realizado um inquérito em 120 morcegos coletados aleatoriamente, na Mata Atlântica, no Estado de São Paulo. Utilizou-se a reação de imunofluorescência para a detecção do vírus rábico isolado no cérebro desses morcegos, avaliado nos dois sistemas de cultivos celulares. Dois bancos de dados foram formados com os resultados. A análise foi feita com o programa Computer Methods for Diagnosis Tests (CMDT), utilizando a técnica de two-graph-receiver operating characteristic (TG-ROC) para obter os parâmetros de sensibilidade e especificidade, além de outros indicadores, tais como eficácia, valor preditivo positivo, valor preditivo negativo e razão de verossimilhança. RESULTADOS: A célula N2A apresentou 90% de sensibilidade e especificidade, enquanto que a célula McCoy obteve 95% para os mesmos parâmetros. Os valores foram baseados em pontos de cortes otimizados para cada uma das células. CONCLUSÕES: Observou-se que a célula McCoy permite obter estimativas de acurácia superiores aos resultados observados com a célula de N2A, representando um método alternativo eficaz no isolamento do vírus rábico.

Diagnosis and control of polypharmacy in the elderly

The article had the purpose of commenting on studies on polypharmacy in the elderly, focusing on diagnosis and control. Polypharmacy is defined as the use of a number of medications at the same time and the use of additional drugs to correct drug adverse effects. The fact that the elderly take more medications for the treatment of several diseases makes them more susceptible to the occurrence of adverse reactions. Prophylactic actions such as balanced prescriptions are vital to reduce the incidence of these reactions and prevent longer hospital stay, increased costs and aggravation of the elderly health condition.

Diagnosis of iron deficiency anemia in children of Northeast Brazil

OBJECTIVE: To diagnose iron deficiency anemia in children. METHODS: The study was conducted with a sample of 301 children aged six to 30 months attending public daycare centers in the city of Recife, Northeast Brazil, in 2004. The diagnoses of anemia were based on a combination of different hematological and biochemical parameters: hemoglobin, mean corpuscular volume, ferritin, C-reactive protein, transferrin saturation and transferrin receptor. The chi-square test and ANOVA were used in the statistical analysis. RESULTS: Of all children studied, 92.4% had anemia (Hb <110 g/L) and 28.9% had moderate/severe anemia (Hb <90 g/L). Lower levels of hemoglobin were found in children aged 6-17 months. Iron deficiency was found in 51.5% of children using ferritin (<12 μg/L) as parameter. Taking into consideration the combination of hemoglobin level, ferritin and transferrin receptor, 58.1% had anemia with iron deficiency, 34.2% had anemia without iron deficiency and 2.3% had iron deficiency without anemia. Mean ferritin concentration was significantly higher in children with high C-reactive protein when compared with those with normal levels (22.1 vs. 14.8 µg/L). CONCLUSIONS: The use of several biochemical and hematological parameters allowed to diagnosing iron deficiency anemia in two thirds of children, suggesting a need to identify other determinants of anemia without iron deficiency.

Symphysis-fundal height curve in the diagnosis of fetal growth deviations

OBJECTIVE: To validate a new symphysis-fundal curve for screening fetal growth deviations and to compare its performance with the standard curve adopted by the Brazilian Ministry of Health. METHODS: Observational study including a total of 753 low-risk pregnant women with gestational age above 27 weeks between March to October 2006 in the city of João Pessoa, Northeastern Brazil. Symphisys-fundal was measured using a standard technique recommended by the Brazilian Ministry of Health. Estimated fetal weight assessed through ultrasound using the Brazilian fetal weight chart for gestational age was the gold standard. A subsample of 122 women with neonatal weight measurements was taken up to seven days after estimated fetal weight measurements and symphisys-fundal classification was compared with Lubchenco growth reference curve as gold standard. Sensitivity, specificity, positive and negative predictive values were calculated. The McNemar χ2 test was used for comparing sensitivity of both symphisys-fundal curves studied. RESULTS: The sensitivity of the new curve for detecting small for gestational age fetuses was 51.6% while that of the Brazilian Ministry of Health reference curve was significantly lower (12.5%). In the subsample using neonatal weight as gold standard, the sensitivity of the new reference curve was 85.7% while that of the Brazilian Ministry of Health was 42.9% for detecting small for gestational age. CONCLUSIONS: The diagnostic performance of the new curve for detecting small for gestational age fetuses was significantly higher than that of the Brazilian Ministry of Health reference curve.