RESUMO
OBJECTIVES: International growth charts have been used in the past decades to identify atypical growth and diagnose the nutritional status of individuals. The aim of this study was to construct and compare growth patterns of normo-nourished children between 6-59 months from Afghanistan, Haiti, and the Democratic Republic of the Congo, to assess if it would be worth developing growth charts at a national level. METHODS: We used an international sample of 46 466 subjects (53.7% female; 46.3% male) from the aforementioned regions. To create the growth charts, we used different statistical methodologies: the Lambda-Mu-Sigma (LMS), LMSP, and LMST models, and regression models based on fractional polynomials. The LMSP models were the ones that fitted our data best and were therefore the ones used to make comparisons between countries using percentiles (3rd, 50th, and 97th). RESULTS: We found that Haitian children were both, taller and heavier than their Afghan and Congolese equals of the same ages. Moreover, differences were bigger in the highest percentiles (i.e., 97th percentile). These differences might be the result of the influence that genetics and diverse social and environmental contexts have on growth rates. CONCLUSIONS: Using the same international reference standards for all populations could result in the overestimation or underestimation of the proportion of malnourished children. In light of our results, we recommend the future development of national and regional growth charts to provide health workers with more precise tools to evaluate the nutritional status in the child population.
Assuntos
Desenvolvimento Infantil , Afeganistão , Criança , Pré-Escolar , Congo , Haiti , Humanos , LactenteRESUMO
OBJECTIVES: Imported Chagas disease (CD) is an emerging health problem in Europe due to immigration from endemic countries. Although WHO currently recommends two different serological methods to establish diagnosis, new tools like the ARCHITECT Chagas assay have potential for use as a single diagnostic test. Our objective was to determine an optimal signal-to-cut-off (S/CO) value for the ARCHITECT Chagas assay to diagnose CD with a single test. METHODS: A retrospective study conducted at the 12 de Octubre University Hospital (Madrid, Spain). All patients with requests for Chagas screening between January 2014 and August 2017 were consecutively included. All samples were routinely tested with the ARCHITECT assay. Negative samples (S/CO < 0.8) required no further testing. Immunochromatographic testing (ICT) and/or indirect immunofluorescence (IFI) was used to confirm samples with S/CO ≥ 0.8. Receiver operator characteristic (ROC) curve analysis determined the ARCHITECT S/CO value that yielded 100% specificity and positive predictive value. SPSS software, version 22.0 was used for data analysis. RESULTS: A total of 4153 samples were analysed; 361 (8.69%) gave a reactive ARCHITECT Chagas result. 261/361 (72.3%) were women; median age was 38 years old (2-79). 92.8% were Bolivian. A total of 307 (85.0%) were confirmed as cases of Chagas; 52 (14.4%) were not infected; two (0.6%) were not evaluable. Seroprevalence was 7.39%. An S/CO ≥ 3.80 yielded 100% specificity (95% confidence interval [CI], 0.93-1.00) and 100% positive predictive value (95% CI, 0.99-1.00). CONCLUSIONS: Using S/CO ≥ 3.80, the ARCHITECT Chagas could be used as a single test for diagnosis of chronic CD in Bolivian immigrants. Patients with S/CO between 0.80 and 3.80 would require additional testing.