[Recurrence of dengue epidemics in Burkina Faso: Community preference for an intervention to prevent the disease]. / Épidémies récurrentes de la dengue au Burkina Faso : préférences communautaires pour une intervention de prévention de la maladie.

BACKGROUND: Community-based interventions have proven effective in several Latin American countries in controlling dengue vector Aedes aegypti and reducing the burden of the disease. However, we did not find any study reporting the assessment or implementation of such interventions in Sub-Saharan Africa. This article presents local communities' preferences for activities as part of the implementation of a community-based intervention for dengue prevention in Ouagadougou (Burkina Faso) where dengue epidemics are recurrent during the rainy season. METHODS: A mixed-method study combining qualitative and quantitative data collection was conducted. Information from 983 households and their preferences for community-based activities for dengue prevention were collected in five neighborhoods of the city using a quantitative questionnaire. Then, 15 qualitative focus groups were organized in one of the neighborhoods that was randomly selected to receive a community-based intervention for dengue prevention. These groups were made up of 216 people representing the different socio-cultural categories: community leaders, men, women, young girls and boys. RESULTS: More than 95% of household respondents to the quantitative questionnaire found community-based interventions acceptable and/or useful: to raise awareness of mosquito-borne disease transmission, to identify and remove the mosquito breeding sites and areas favorable to the development of the adult vectors. Most participants in the focus groups, preferred outreach activities such as video/debate sessions, school and home education sessions, focus groups. They also preferred the implementation of community working groups, responsible for identifying and eliminating mosquito breeding sites in the neighborhood. However, many participants had reservations about sending preventive text messages to residents. They found it feasible but not useful since most people cannot read. CONCLUSION: This study shows that it is important to get the local communities involved in the formulation of health prevention activities in sub-Saharan Africa where some interventions are often implemented using strategies from other continents.

An extensive experimental survey of regression methods.

Regression is a very relevant problem in machine learning, with many different available approaches. The current work presents a comparison of a large collection composed by 77 popular regression models which belong to 19 families: linear and generalized linear models, generalized additive models, least squares, projection methods, LASSO and ridge regression, Bayesian models, Gaussian processes, quantile regression, nearest neighbors, regression trees and rules, random forests, bagging and boosting, neural networks, deep learning and support vector regression. These methods are evaluated using all the regression datasets of the UCI machine learning repository (83 datasets), with some exceptions due to technical reasons. The experimental work identifies several outstanding regression models: the M5 rule-based model with corrections based on nearest neighbors (cubist), the gradient boosted machine (gbm), the boosting ensemble of regression trees (bstTree) and the M5 regression tree. Cubist achieves the best squared correlation ( R2) in 15.7% of datasets being very near to it, with difference below 0.2 for 89.1% of datasets, and the median of these differences over the dataset collection is very low (0.0192), compared e.g. to the classical linear regression (0.150). However, cubist is slow and fails in several large datasets, while other similar regression models as M5 never fail and its difference to the best R2 is below 0.2 for 92.8% of datasets. Other well-performing regression models are the committee of neural networks (avNNet), extremely randomized regression trees (extraTrees, which achieves the best R2 in 33.7% of datasets), random forest (rf) and ε-support vector regression (svr), but they are slower and fail in several datasets. The fastest regression model is least angle regression lars, which is 70 and 2,115 times faster than M5 and cubist, respectively. The model which requires least memory is non-negative least squares (nnls), about 2 GB, similarly to cubist, while M5 requires about 8 GB. For 97.6% of datasets there is a regression model among the 10 bests which is very near (difference below 0.1) to the best R2, which increases to 100% allowing differences of 0.2. Therefore, provided that our dataset and model collection are representative enough, the main conclusion of this study is that, for a new regression problem, some model in our top-10 should achieve R2 near to the best attainable for that problem.

[Audit of medical records]. / Audit des dossiers médicaux.

OBJECTIVE: TO assess the quality of medical records in a university teaching hospital in Africa. MATERIAL AND METHODS: We conducted a retrospective study at the Souro Sanou University Teaching Hospital of Bobo Dioulasso in Burkina Faso, by randomly selecting 480 medical records from 4 clinical departments (internal medicine, obstetrics & gynaecology, paediatrics and surgery). Items recorded were based mainly on those used by the French agency for the evaluation of health services (now the HAS). Ten physicians were also interviewed about medical file ergonomics file. Descriptive statistics were compiled from the data collected. RESULTS: Only 368 of the 480 records could be found. Two of the four departments had an adequate record room. Assessment of the overall quality of the files noted that: i) 95 to 100% of the records were in good physical condition; ii) the handwriting in the files was legible in 94 to 100% of the cases; iii) the identity of the staff members making file entries could be determined in 73 to 92% of the cases. A detailed examination of the content of the files revealed that: i) the patient's social and demographic characteristics (name, sex, age, residence, occupation, marital status and religion) were available in 26 to 99% of the cases; ii) the mode of admission was noted in 52 to 88%; iii) the reason for admission was stated in 83 to 100%; iv) the main diagnosis was reported in 68 to 100%; v) surgery notes were found for 93 to 100% of patients who underwent surgery; vi) the disposition on discharge was not found in 31% of the records; vii) the circumstances of death were not recorded for 77% of the patients who died. CONCLUSION: The quality of medical records at Souro University Teaching Hospital must be improved, through improving staff awareness and regular audits.

[Seroprevalence of chronic viral hepatitis markers in 791 recent immigrants in Catalonia, Spain. Screening and vaccination against hepatitis B recommendations]. / Seroprevalencia de marcadores de hepatitis crónica vírica en 791 inmigrantes recientes en Cataluña, España. Recomendaciones de cribado y de vacunación contra la hepatitis B*

INTRODUCTION: The prevalence of chronic viral hepatitis in the European Union (EU) will vary because of the immigrants coming from countries having an elevated with a higher endemicity of hepatitis B (HBV) and C virus (HCV). Serologic screening in healthy immigrants is a subject that has been discussed in the areas of feasibility, ethics and cost-effectiveness. The main study aims were: a) to know the prevalence of chronic hepatitis markers and, b) to determine the best cost-effectiveness strategy of vaccination against hepatitis B. POPULATION AND METHOD: An observational, perspective and multicenter study was performed on the Primary Care level in Catalonia (Spain) among healthy immigrants who had lived in the EU for less than 5 years. RESULTS: Data from 791 individuals were analyzed. They presented anti-HBc+ 33% (95% CI 29.6 -36.1), and anti-HBs+ 16.1% (95% CI 11.4 -20.8). HBsAg+ was 5.9% (95% CI 3-8.7), of those were HBeAg+ 15.62% (95% CI 5.3-32.8). The sub-Saharan group presented the higher prevalence of anti-HBc+ (77.3%) and HBsAg+ (18.2%), whereas the Latin American-origin population displayed the lowest one (12.5% and 1.2%, respectively). Determination of antibodies prior to vaccination was found as cost-effective from a seroprevalence anti-HBc+> 48.72%; only overcome by the CI of sub-Saharan population (95% CI 5.3-32.8). The prevalence of anti-HC+ was 6.1% (95% CI 4.3-7.8), especially high among the Eastern European (19.6%) and Indostanic (14.9%) population. The Latin American group had the lowest prevalence (1.4%). CONCLUSIONS: The prevalence of chronic viral hepatitis markers is found to be at an intermediate level between those described by primary and specialized care levels. The prevalences of HBsAg+ and anti-HC+ in the immigrant population, on the whole, are such that it is advisable to screening for them, with the exception of the Latin American community. Previous serologic determination of markers is only cost-effective among the sub-Saharan community.

Seroprevalencia de marcadores de hepatitis crónica vírica en 791 inmigrantes recientes en Cataluña, España. Recomendaciones de cribado y de vacunación contra la hepatitis B* / Seroprevalence of chronic viral hepatitis markers in 791 recent immigrants in Catalonia, Spain. Screening and vaccination against hepatitis B recommendations

Introducción. La prevalencia de las hepatitiscrónicas víricas en la Unión Europea variará debidoa la recepción de inmigrantes procedentes de paísescon elevada endemia de infección crónica por virusde la hepatitis B (VHB) y C (VHC). La inclusión desu cribado en inmigrantes sanos es un temadebatido en los planos de factibilidad, ética y decoste-efectividad.Los objetivos del estudio fueron: a) conocer laprevalencia de marcadores contra la hepatitiscrónica y, b) determinar una estrategia costeefectivade vacunación contra la hepatitis B.Población y método. Estudio observacionalprospectivo y multicéntrico a nivel de AtenciónPrimaria en Cataluña (España), definido sobrela población de inmigrantes sanos con menos de 5años de residencia en la Unión Europea.Resultados. Se estudiaron 791 individuos.Presentaron HBcAc+ 33% (intervalo de confianza[IC] 95% 29,6-36,1) y HBsAc+ 16,1% (IC 95%11,4-20,8). Presentaron antígeno de superficiepositivo (HBsAg+) 5,9% (IC 95% 3-8,7), de loscuales el antígeno soluble positivo (HBeAg+)15,62% (IC 95% 5,3-32,8). La poblaciónsubsahariana presentó la mayor prevalencia deHBcAc+ (77,3%) y de HBsAg+ (18,2%) y la latinoamericana, la menor (12,5% y 1,2%, respectivamente). La determinación serológica prevacunación se mostró coste-efectiva a partir de una seroprevalencia HBcAc+ >48,72%, valor sólo superado por el IC de la población subsahariana (IC 95% 68,6-86). Presentaron anticuerpos contra el virus de la hepatitis C (HCAc+) 6,1% (IC 95%4,3-7,8), especialmente el colectivo de EuropaOriental (19,6%) e Indostán (14,9%). La comunidadcon menor prevalencia fue asimismo lalatinoamericana (1,4%).Discusión. La prevalencia de marcadores dehepatitis crónica vírica se sitúa en un nivelintermedio entre las descritas en los ámbitos deAtención Primaria y especializada. La poblacióninmigrante en su conjunto muestra prevalencias demarcadores HBsAg+ y HCAc+ que hacenrecomendable su cribado excepto para el colectivolatinoamericano. La determinación serológica previaa la vacunación sólo es coste-efectiva en el colectivosubsahariano

Introduction. The prevalence of chronic viralhepatitis in the European Union (EU) will varybecause of the immigrants coming from countrieshaving an elevated with a higher endemicity ofhepatitis B (HBV) and C virus (HCV). Serologicscreening in healthy immigrants is a subject that hasbeen discussed in the areas of feasibility, ethics andcost-effectiveness. The main study aims were: a) toknow the prevalence of chronic hepatitis markersand, b) to determine the best cost-effectivenessstrategy of vaccination against hepatitis B.Population and Method. An observational,perspective and multicenter study was performed onthe Primary Care level in Catalonia (Spain) amonghealthy immigrants who had lived in the EU for lessthan 5 years.Results. Data from 791 individuals were analyzed.They presented anti-HBc+ 33% (95% CI 29.6 -36.1),and anti-HBs+ 16.1% (95% CI 11.4 -20.8). HBsAg+was 5.9% (95% CI 3-8.7), of those were HBeAg+15.62% (95% CI 5.3-32.8). The sub-Saharan grouppresented the higher prevalence of anti-HBc+(77.3%) and HBsAg+ (18.2%), whereas the LatinAmerican-origin population displayed the lowest one(12.5% and 1.2%, respectively). Determination ofantibodies prior to vaccination was found ascost-effective from a seroprevalence anti-HBc+>48.72%; only overcome by the CI of sub-Saharanpopulation (95% CI 5.3-32.8). The prevalence ofanti-HC+ was 6.1% (95% CI 4.3-7.8), especially highamong the Eastern European (19.6%) and Indostanic(14.9%) population. The Latin American group hadthe lowest prevalence (1.4%).Conclusions. The prevalence of chronic viralhepatitis markers is found to be at an intermediatelevel between those described by primary andspecialized care levels. The prevalences of HBsAg+and anti-HC+ in the immigrant population, on thewhole, are such that it is advisable to screening forthem, with the exception of the Latin Americancommunity. Previous serologic determination ofmarkers is only cost-effective among the sub-Saharan community

Prognostic role of B-type natriuretic peptide in patients with diabetes and acute decompensated heart failure.

BACKGROUND: Several studies have reported the prognostic value of natriuretic peptides, but their predictive value in patients with diabetes mellitus is unknown. The aim of the study was to test the hypothesis that measurement of brain natriuretic peptide (BNP) levels in ambulatory patients with congestive heart failure (CHF) and diabetes can predict the occurrence of cardiovascular events at 6-month follow-up. METHODS: We enrolled 145 consecutive patient with diabetes [age 72 +/- 9 years, hypertension (21%), ischaemic heart disease (52%), atrial fibrillation (22%), preserved left ventricular function (29%)] seen in the outpatient heart failure clinic after an acute episode of cardiac failure. RESULTS: The median (25th/75th interquartile range) BNP concentrations at discharge were 186 (75-348) pg/ml. At 6-month clinical follow-up 10/145 (7%) subjects had died and 31/145 (21%) had been readmitted because of cardiac decompensation. BNP values of 200 and 500 pg/ml were found to have the best compromise between sensitivity (88 and 46%, respectively) and specificity (71 and 89%, respectively) for predicting events at 6 months. Multivariate Cox regression analysis identified only two parameters as predictors of events: serum creatinine [hazard ratio (HR) = 3.3; P = 0.02], and BNP plasma level BNP cut-off values (HR = 3.8; P = 0.03 for 201-499 pg/ml and HR = 7.7; P = 0.001 for > or = 500 pg/ml). CONCLUSION: These results suggest that BNP and serum creatinine are strong predictors of clinical events in patients with diabetes and CHF. In these patients, clinical outcome might be stratified by plasma BNP levels.

The BNP assay does not identify mild left ventricular diastolic dysfunction in asymptomatic diabetic patients.

AIMS: We examined the usefulness of BNP for screening for left ventricular (LV) diastolic dysfunction in a sample of type 2 diabetic patients, without structural heart disorder, who have never presented symptoms or signs of heart failure (HF). METHODS AND RESULTS: Seventy-six consecutive patients admitted to the Outpatient Diabetes Clinic were studied. Blood samples were analyzed using the Triage BNP fluorescence immunoassay (Biosite Diagnostics, La Jolla, CA, USA). Echocardiography examinations were performed, with no knowledge of the BNP value. A total of 39 patients out of 76 (51%) were diagnosed with LV diastolic dysfunction and 23 (30%) with LV hypertrophy. Of the patients with LV diastolic dysfunction, impaired relaxation and pseudonormal pattern accounted for 97 and 3% of the cases, respectively. BNP levels among subjects with LV diastolic dysfunction (26+/-22 pg/ml, n=39) were not significantly different from patients with normal LV function (24+/-23 pg/ml, n=37 pg/ml; Mann-Whitney U-test, Z=-0.4, n.s.). CONCLUSIONS: Our data confirm alarmingly high prevalence of LV diastolic dysfunction in asymptomatic individuals with diabetes. Identification of patients with preclinical diabetic cardiomyopathy should be a research and clinical priority. BNP levels cannot be used to detect mild LV diastolic dysfunction in this subset of patients, which requires Doppler echocardiography to be detected.

Epilepsy and traditional medicine in Bobo-Dioulasso (Burkina Faso).

OBJECTIVES: To contribute to a better knowledge of how epilepsy is perceived by traditional healers in Burkina Faso; what means they use to treat it, and how they think about modern treatment. MATERIAL AND METHODS: Individual interviews with 65 traditional healers chosen at random from members of the Reelwende Association. RESULTS: All traditional practitioners were of male gender. Most of them were above 50 years of age, and 75% had more than 10 years' experience. Epilepsy was considered to be contagious by 44% of the traditional practitioners, and hereditary according to 40% of them. Roughly, 15% of the healers think that the problem is localized in the head of a person and 7.8% think that they have worms in their head. Thirty-one per cent of them diagnose epilepsy if there is a combination of 'convulsions, sudden fall, dribbling and amnesia'. Another 15% require a combination of 'convulsions, amnesia and dribbling', the remaining 54% make the diagnosis based on one symptom or various combinations of two symptoms of 'grand mal' (generalized tonic clonic) seizures and most claim they have a treatment for it. For a quarter of them, therapeutic-means include concoctions of herbs or roots, baths and infusions. During the fit, 31% of the traditional practitioners think that nothing should be performed. According to 75% of them, traditional and modern treatments are complementary. CONCLUSION: Notwithstanding important differences in culture and religions (Muslim, Christian and Original), there is great similarity between the knowledge and beliefs about epilepsy reported from other parts of Africa and those presented by our study-group, suggesting an ancient origin of the concepts. Further study is needed to find out how other facets of epilepsy (e.g. complex partial seizures, absences) are perceived and how these are being treated. Ways need to be found to raise awareness about epilepsy without interfering with religious and cultural beliefs.

Detection of abnormality in the electrocardiogram without prior knowledge by using the quantisation error of a self-organising map, tested on the European ischaemia database.

Most systems for the automatic detection of abnormalities in the ECG require prior knowledge of normal and abnormal ECG morphology from pre-existing databases. An automated system for abnormality detection has been developed based on learning normal ECG morphology directly from the patient. The quantisation error from a self-organising map 'learns' the form of the patient's ECG and detects any change in its morphology. The system does not require prior knowledge of normal and abnormal morphologies. It was tested on 76 records from the European Society of Cardiology database and detected 90.5% of those first abnormalities declared by the database to be ischaemic. The system also responded to abnormalities arising from ECG axis changes and slow baseline drifts and revealed that ischaemic episodes are often followed by long-term changes in ECG morphology.

Characterization of Galician (N.W. Spain) quality brand potatoes: a comparison study of several pattern recognition techniques.

Authenticity is an important food quality criterion and rapid methods to guarantee it are widely demanded by food producers, processors, consumers and regulatory bodies. The objective of this work was to develop a classification system in order to confirm the authenticity of Galician potatoes with a Certified Brand of Origin and Quality (CBOQ) 'Denominación Específica: Patata de Galicia' and to differentiate them from other potatoes that did not have this CBOQ. Ten selected metals were determined by atomic spectroscopy in 102 potato samples which were divided into two categories: CBOQ and non-CBOQ potatoes. Multivariate chemometric techniques, such as cluster analysis and principal component analysis, were applied to perform a preliminary study of the data structure. Four supervised pattern recognition procedures [including linear discriminant analysis (LDA), K-nearest neighbours (KNN), soft independent modelling of class analogy (SIMCA) and multilayer feed-forward neural networks (MLF-ANN)] were used to classify samples into the two categories considered on the basis of the chemical data. Results for LDA, KNN and MLF-ANN are acceptable for the non-CBOQ class, whereas SIMCA showed better recognition and prediction abilities for the CBOQ class. A more sophisticated neural network approach performed by the combination of the self-organizing with adaptive neighbourhood network (SOAN) and MLF network was employed to optimize the classification. Using this combined method, excellent performance in terms of classification and prediction abilities was obtained for the two categories with a success rate ranging from 98 to 100%. The metal profiles provided sufficient information to enable classification rules to be developed for identifying potatoes according to their origin brand based on SOAN-MLF neural networks.

Fuzzy logic in a patient supervision system.

A patient supervision system in progress for intensive and coronary care units, focused on patients with acute myocardial infarct is briefly described particularly regarding the role that fuzzy logic is playing in its design, and why this is so.

Authentication of Galician (N.W. Spain) quality brand potatoes using metal analysis. Classical pattern recognition techniques versus a new vector quantization-based classification procedure.

The objective of this work was to develop a classification system in order to confirm the authenticity of Galician potatoes with a Certified Brand of Origin and Quality (CBOQ) and to differentiate them from other potatoes that did not have this quality brand. Elemental analysis (K, Na, Rb, Li, Zn, Fe, Mn, Cu, Mg and Ca) of potatoes was performed by atomic spectroscopy in 307 samples belonging to two categories, CBOQ and Non-CBOQ potatoes. The 307 x 10 data set was evaluated employing multivariate chemometric techniques, such as cluster analysis and principal component analysis in order to perform a preliminary study of the data structure. Different classification systems for the two categories on the basis of the chemical data were obtained applying several commonly supervised pattern recognition procedures [such as linear discriminant analysis, K-nearest neighbours (KNN), soft independent modelling of class analogy and multilayer feed-forward neural networks]. In spite of the fact that some of these classification methods produced satisfactory results, the particular data distribution in the 10-dimensional space led to the proposal of a new vector quantization-based classification procedure (VQBCP). The results achieved with this new approach (percentages of recognition and prediction abilities > 97%) were better than those attained by KNN and can be compared advantageously with those provided by LDA (linear discriminant analysis), SIMCA (soft independent modelling of class analogy) and MLF-ANN (multilayer feed-forward neural networks). The new VQBCP demonstrated good performance by carrying out adequate classifications in a data set in which the classes are subgrouped. The metal profiles of potatoes provided sufficient information to enable classification criteria to be developed for classifying samples on the basis of their origin and brand.

Cooperación internacional, sociedades científicas y salud internacional

La revolución en los transportes y las comunicaciones ha difundido en la sociedad civil de muchos países, sobre todo los desarrollados, una conciencia de globalización cultural al amparo de la cual se expanden los conceptos de cooperación internacional y de salud internacional, muy interrelacionados en lo que atañe al mundo sanitario. La atención primaria debe ser la base del edificio formado por el caudal de conocimientos qua conforma la salud internacional; los profesionales de atención primaria debemos posicionarnos frente a ellos cuanto antes mejor. La cooperación internacional es uno de los corolarios lógicos del desarrollo de la salud internacional. Las sociedades científicas y las instituciones sanitarias deberían destinar un mínimo ineludible del 0,7 por ciento de su presupuesto a proyectos de cooperación internacional que deberían ser gestionados en un proceso transparente y evaluable por grupos de trabajo en salud internacional en coordinación con ONG de reconocida seriedad. La Sociedad Catalana de Medicina Familiar y Comunitaria ha efectuado una concesión de presupuesto y una gestión de éste sobre el modelo anterior, y sienta así precedente en cuanto a la validez del mismo (AU)

A new approach for TU complex characterization.

In this paper, we present a new TU complex detection and characterization algorithm that consists of two stages; the first is a mathematical modeling of the electrocardiographic segment after QRS complex; the second uses classic threshold comparison techniques, over the signal and its first and second derivatives, to determine the significant points of each wave. Later, both T and U waves are morphologically classified. Amongst the principal innovations of this algorithm is the inclusion of U-wave characterization and a mathematical modeling stage, that avoids many of the problems of classic techniques when there is a low signal-to-noise ratio or when wave morphology is atypical. The results of the algorithm validation with the recently appeared QT database are also shown. For T waves these results are better when compared to other existing algorithms. U-wave results cannot be contrasted with other algorithms as, to our knowledge, none are available. Examples showing the causes of principal discrepancies between our algorithm and the QT database annotations are also given, and some ways of attempting to improve and benefit from the proposed algorithm are suggested.

A problem-solving method for 'unprotocolised' therapy administration task in medicine.

This paper describes a problem-solving method for modelling the 'unprotocolised' treatment administration task in medicine. We argue that there are medical domains in which no well-established standard treatment protocols exist, and the physician has to decide on the therapy that is to be applied to each patient, in function of a set of therapeutic objectives to be fulfilled. For this reason, we propose the modelling of this type of task adapting the generic class of problem resolution methods for design task, labelled as Propose-Critique-Modify (PCM). In this paper, we are presenting a model of expertise which has been developed using the basic modelling components of the CommonKADS methodology.

Reasoning with truth values on compacted fuzzy chained rules.

In this paper, we consider the problem of executing a fuzzy knowledge base (FKB) with rule chaining. The inference process used as starting point is the one based on forward reasoning functions which, obtained from the compositional rule of inference, permits performing the execution of rules in the truth space. This way the process is totally independent from the universes of discourse in which the different variables are defined, allowing a homogeneous treatment for all the variables in the FKB. The execution of the rules is interpreted as the "propagation" of linguistic truth values of the linguistic truth variable that reflect the linguistic degree of fulfillment of each of the propositions in the rules. This execution process is analyzed in two fields of application: control systems, where it is customary to assume t-norm operators as implication functions, and the aggregation process is implemented through the maximum operator and expert systems applications, where other implication functions may be needed and t-norm operators are generally used as aggregation operators. For both of these situations, we present a compaction mechanism which allows a noticeable part of the operations to be performed a priori, thus achieving an important computation time saving.