RESUMO
Abstract This article aims to present growth curves for height, weight, and BMI of 95,000 Brazilian youths aged 6 to 17 years, including the five regions of the country, the Amazon region, and indigenous populations, and compare them with the World Health Organization (WHO) growth references. The final sample consisted of 52,729 boys and 42,731 girls from the "Projeto Esporte Brasil" database. Body mass and height information were used to derive the curves. The generalized additive model for location, scale, and shape was employed. In this study, we present smoothed weight-for-age, height-for-age, and BMI-for-age curves for boys and girls. Differences were observed between the results of the Brazilian curves and the WHO growth references. The developed curves will be valuable for professionals in medicine, public health, nutrition, physical education, and other related fields, regarding the assessment of physical growth in Brazilian children and adolescents and monitoring the nutritional status of this population. Additionally, these curves will facilitate the identification of individuals or subgroups at risk of diseases and delayed growth, with a greater focus on specific country-related factors.
Resumo O objetivo do artigo é apresentar curvas de crescimento de altura, peso e IMC de 95.000 jovens brasileiros com idades entre 6 e 17 anos, incluindo as cinco regiões do país, a região da Amazônia e os povos indígenas, e comparar com as referências de crescimento da Organização Mundial da Saúde (OMS). A amostra final foi composta por 52.729 meninos e 42.731 meninas provenientes do banco de dados do "Projeto Esporte Brasil". As informações de massa corporal e estatura foram utilizadas para derivar as curvas. O modelo aditivo generalizado para localização, escala e forma foi usado. neste estudo, apresentamos as curvas suavizadas de peso-idade, altura-idade e IMC-idade para meninos e meninas. Foram observadas diferenças entre os resultados das curvas brasileiras e as referências de crescimento da OMS. As curvas desenvolvidas serão úteis para profissionais da medicina, saúde pública, nutrição, educação física, entre outros, no que diz respeito a avaliação do crescimento físico de crianças e adolescentes brasileiros e para monitorar o estado nutricional desta população. Além disso, essas curvas permitirão a detecção de indivíduos ou subgrupos em risco de doenças e crescimento retardado, com um foco maior em fatores específicos do país.
RESUMO
Background: Acute renal failure after cardiac surgery is known to be associated with significant short-term morbidity and mortality. There have as yet been no major reports on long-term quality of life (QOL). This study assessed the impact of acute kidney injury (AKI) and renal replacement therapy (RRT) on long-term survival and QOL after cardiac surgery. The need for long-term RRT is also assessed. Materials and Methods: Patients who underwent cardiac surgery between 2005 and 2011 (n = 6087) and developed AKI (RIFLE criteria, n = 570) were included. They were propensity-matched 1:1 to patients without renal impairment (control). Data were prospectively collected, and health-related QOL questionnaire was sent to patients who were alive at least 1-year postoperatively at the time of the study. Results: There was no significant difference in the preoperative characteristics between the two groups (age, gender, left ventricular ejection fraction, procedure, urgency, logistic Euroscore), respectively. Median follow-up was 52 months. Survival data were available in all patients. Questionnaires were returned in 64% of eligible patients. Long-term survival was significantly lower, and QOL, in particular the physical aspect, was significantly worse for the AKI group as compared to non-AKI group (38.8 vs. 44.2, P = 0.002), especially so in patients who required RRT. In alive respondents, despite an 18% (66/359) incidence of ongoing renal follow-up, the need for late RRT was only in 1.1% (4/359). Conclusion: AKI and especially the need for RRT following cardiac surgery are associated with increased long-term mortality as well as worse quality of life in a propensity-matched control group.