Diagnóstico bacteriológico de la tuberculosis en Argentina: resultados de una encuesta nacional Bacteriological diagnosis of tuberculosis in Argentina: results of a national survey

Con el objetivo de evaluar recursos, prácticas y medidas de bioseguridad utilizados en el diagnóstico bacteriológico de tuberculosis y determinar la utilidad y alcance de las técnicas empleadas, se llevó adelante una encuesta transversal a laboratorios del sector público de Argentina utilizando un cuestionario estructurado. El análisis de los resultados mostró que la densidad de centros de microscopía y cultivo se encuentra al nivel o encima de lo recomendado por Organización Mundial de la Salud. El programa de control de calidad de microscopía cubre mayoritariamente los laboratorios con alta carga de trabajo. El promedio de baciloscopías/paciente fue bajo (1,6). El 25% de los laboratorios de cultivo empleaban protección respiratoria inadecuada. El aporte del cultivo a la confirmación de casos pulmonares en las jurisdicciones estuvo asociado a la proporción de muestras cultivadas. Globalmente, el porcentaje de pacientes pulmonares baciloscopía-negativa que fue confirmado bacteriológicamente fue de 18.9%; mientras que la may-oría de los casos extrapulmonares se confirmó sólo por cultivo (71,3%). Es prioritario aún el incremento del número de esputos estudiados por baciloscopía y cultivo, así como aumentar la cobertura de programa de control de calidad de microscopía; es fundamental proveer al personal de laboratorio de adecuada protección respiratoria y evaluación médica regular.<br>In order to assess laboratory resources, practices, and biosafety measures during mycobacterial testing and determine the usefulness and scope of mycobacterial techniques, a cross-sectional survey of public laboratories was conducted in Argentina using a structured questionnaire. Sputum smear analysis showed that both smear and culture testing centers are being provided at or above the WHO recommended density for such facilities. The microscopy quality assessment program covered most high-demand laboratories. Mean number of sputum smears per patient was low (1.6). The use of inadequate personal respiratory protection was identified in 25% of culture laboratories. Jurisdictions that cultured a higher proportion of their smear-tested sputa identified a higher proportion of smear-negative cases. The percentage of smear negatives among all bacteriologically confirmed pulmonary cases was 18.9%, while most extrapulmonary cases were confirmed by culture (71.3%). In conclusion, increasing the number of sputa studied by microscopy and culture (while expanding the coverage of the quality assessment program) is a priority; adequate respiratory protection and regular medical evaluation of laboratory staff is still needed in some laboratories

Distribution of influenza virus types by age using case-based global surveillance data from twenty-nine countries, 1999-2014

Background Influenza disease burden varies by age and this has important public health implications. We compared the proportional distribution of different influenza virus types within age strata using surveillance data from twenty-nine countries during 1999-2014 (N=358,796 influenza cases). Methods For each virus, we calculated a Relative Illness Ratio (defined as the ratio of the percentage of cases in an age group to the percentage of the country population in the same age group) for young children (0-4 years), older children (5-17 years), young adults (18-39 years), older adults (40-64 years), and the elderly (65+ years). We used random-effects meta-analysis models to obtain summary relative illness ratios (sRIRs), and conducted meta-regression and sub-group analyses to explore causes of between-estimates heterogeneity. Results The influenza virus with highest sRIR was A(H1N1) for young children, B for older children, A(H1N1)pdm2009 for adults, and (A(H3N2) for the elderly. As expected, considering the diverse nature of the national surveillance datasets included in our analysis, between-estimates heterogeneity was high (I2>90%) for most sRIRs. The variations of countries’ geographic, demographic and economic characteristics and the proportion of outpatients among reported influenza cases explained only part of the heterogeneity, suggesting that multiple factors were at play. Conclusions These results highlight the importance of presenting burden of disease estimates by age group and virus (sub)type