37 research outputs found

    Genética y genómica médica en el Perú

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    Genética y genómica médica en el Per

    Antigen-Induced IL-1RA Production Discriminates Active and Latent Tuberculosis Infection

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    The IGRA (Interferon Gamma Release Assays) test is currently the standard specific test for Mycobacterium tuberculosis infection status. However, a positive test cannot distinguish between active tuberculosis disease (ATBD) and latent tuberculosis infection (LTBI). Developing a test with this characteristic is needed. We conducted longitudinal studies to identify a combination of antigen peptides and cytokines to discriminate between ATBD and LTBI. We studied 54 patients with ATBD disease and 51 with LTBI infection. Cell culture supernatant from cells stimulated with overlapping Mycobacterium tuberculosis novel peptides and 40 cytokines/chemokines were analyzed using the Luminex technology. To summarize longitudinal measurements of analyte levels, we calculated the area under the curve (AUC). Our results indicate that in vitro cell stimulation with a novel combination of peptides (Rv0849-12, Rv2031c-14, Rv2031c-5, and Rv2693-06) and IL-1RA detection in culture supernatants can discriminate between LTBI and ATBD

    Association between television viewing and obesity in Peruvian women

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    OBJECTIVE: To assess the association between frequency of television viewing, overweight and obesity in a nationally representative sample of Peruvian women. METHODS: Secondary analysis of the Demographic and Health Survey 2008 including women aged from 15 to 49 years old. The outcome variables were obesity (body mass index >30 kg/m²) and overweight (body mass index >25 butOBJETIVO: Evaluar la asociación entre frecuencia de ver televisión, sobrepeso y obesidad en una muestra representativa de mujeres peruanas a nivel nacional. MÉTODOS: Análisis secundario de la Encuesta Nacional Demográfica y de Salud Familiar incluyendo mujeres de 15 a 49 años. Las variables resultados fueron obesidad (índice de masa corporal >30 kg/m²) y sobrepeso (>25 pesoOBJETIVO: Analisar a associação entre frequência de assistir televisão com sobrepeso e obesidade em uma amostra representativa de mulheres peruanas em nível nacional. MÉTODOS: Análise secundária da Pesquisa Nacional Demográfica e de Saúde Familiar incluindo 27.712 mulheres de 15 a 49 anos em 2008. As variáveis-desfecho foram obesidade (índice de massa corporal >; 30 kg/m2) e sobrepeso (entre 25 e 30 kg/m2); a variável de exposição foi a frequência de assistir televisão (nunca, ocasionalmente, quase todos os dias). Foi utilizada regressão logística para amostras complexas, ajustada por potenciais confundidores. Os resultados foram apresentados como odds ratios ajustados (ORa) com seus respectivos intervalos de 95% de confiança. RESULTADOS: A prevalência de sobrepeso foi de 34,7% (IC95% 33,8;35,7) e de obesidade, 14,3% (IC95% 13,6;5,1). Mulheres que assistiam televisão ocasionalmente e quase todos os dias tiveram maior probabilidade de ter obesidade em comparação às que não assistiam: ORa = 1,7 (IC95% 1,3;2,3) e ORa 2,6 (IC95% 2,0;3,5), respectivamente. A magnitude da associação foi menor para o sobrepeso: ORa 1,2 (IC95% 1,3;2,3) e ORa 1,6 (IC95% 1,1;1,4), respectivamente. A associação foi mais forte na área urbana. CONCLUSÕES: A frequência de assistir televisão esteve associada à apresentar obesidade e sobrepeso entre mulheres peruanas, e a força da associação variou de acordo com a área de residência. Estes achados podem auxiliar estratégias de prevenção da obesidade no contexto peruano

    Parity and Overweight/Obesity in Peruvian Women.

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    INTRODUCTION: The rise in noncommunicable diseases and their risk factors in developing countries may have changed or intensified the effect of parity on obesity. We aimed to assess this association in Peruvian women using data from a nationally representative survey. METHODS: We used data from Peru's Demographic and Health Survey, 2012. Parity was defined as the number of children ever born to a woman. We defined overweight as having a body mass index (BMI, kg/m2) of 25.0 to 29.9 and obesity as a BMI ≥30.0. Generalized linear models were used to evaluate the association between parity and BMI and BMI categories, by area of residence and age, adjusting for confounders. RESULTS: Data from 16,082 women were analyzed. Mean parity was 2.25 (95% confidence interval [CI], 2.17-2.33) among rural women and 1.40 (95% CI, 1.36-1.43) among urban women. Mean BMI was 26.0 (standard deviation, 4.6). We found evidence of an association between parity and BMI, particularly in younger women; BMI was up to 4 units higher in rural areas and 2 units higher in urban areas. An association between parity and BMI categories was observed in rural areas as a gradient, being highest in younger women. CONCLUSION: We found a positive association between parity and overweight/obesity. This relationship was stronger in rural areas and among younger mothers

    Agreement Between Cardiovascular Disease Risk Scores in Resource-Limited Settings: Evidence from 5 Peruvian Sites.

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    It is unclear how well currently available risk scores predict cardiovascular disease (CVD) risk in low-income and middle-income countries. We aim to compare the American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort risk equations (ACC/AHA model) with 6 other CVD risk tools to assess the concordance of predicted CVD risk in a random sample from 5 geographically diverse Peruvian populations. We used data from 2 Peruvian, age and sex-matched, population-based studies across 5 geographical sites. The ACC/AHA model were compared with 6 other CVD risk prediction tools: laboratory Framingham risk score for CVD, non-laboratory Framingham risk score for CVD, Reynolds risk score, systematic coronary risk evaluation, World Health Organization risk charts, and the Lancet chronic diseases risk charts. Main outcome was in agreement with predicted CVD risk using Lin's concordance correlation coefficient. Two thousand one hundred and eighty-three subjects, mean age 54.3 (SD ± 5.6) years, were included in the analysis. Overall, we found poor agreement between different scores when compared with ACC/AHA model. When each of the risk scores was used with cut-offs specified in guidelines, ACC/AHA model depicted the highest proportion of people at high CVD risk predicted at 10 years, with a prevalence of 29.0% (95% confidence interval, 26.9-31.0%), whereas prevalence with World Health Organization risk charts was 0.6% (95% confidence interval, 0.2-8.6%). In conclusion, poor concordance between current CVD risk scores demonstrates the uncertainty of choosing any of them for public health and clinical interventions in Latin American populations. There is a need to improve the evidence base of risk scores for CVD in low-income and middle-income countries
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