Objective: To compare the growth curves from a population from a large city suburban hospital with those of the city of São Paulo, São Paulo State, Brazil.
Methods: At Hospital Geral do Grajaú, that serves the high pregnancy risk population lacking health facilities, of low education level and smaller number of prenatal visits and great morbidity, a growth curve was built for the newborns, as the Hospital is provided with updated equipment and personnel. The curve was built from the database available containing information on live births during the 2003 to 2007 period and totaling 9,952 newborns, as their weight at birth and gestational age were taken as parameters. The distribution curves of 3%, 10%, 50% and 90% of the Grajaú were compared to those of the city of São Paulo curve.
Results: The curves did not significantly differ from those of the São Paulo curve percentiles, as shown by the mean deviation (Z score) calculation, notwithstanding the higher rates for prematurity, low weight, teenager mothers and lack of prenatal visits among the Grajaú population as compared to those of São Paulo.
Conclusions: The São Paulo city curve showed to be appropriate for the suburban population despite the existing differences.
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http://dx.doi.org/10.1590/S1679-45082010AO1505 | DOI Listing |
J Surg Oncol
October 2024
Liver Surgery Unit, Department of Gastroenterology, Digestive Surgery Division, University of Saão Paulo Medical School, São Paulo, Brazil.
J Funct Biomater
March 2024
Bone Research Lab, Ribeiraão Preto School of Dentistry, University of Saão Paulo, Ribeiraão Preto 14040-904, SP, Brazil.
Bone tissue has a remarkable ability to regenerate following injury and trauma [...
View Article and Find Full Text PDFArq Bras Cardiol
March 2024
Universidade Federal do Vale do Saão Francisco - Colegiado de Medicina, Paulo Afonso, BA - Brasil.
Front Immunol
November 2023
Hospital Israelita Albert Einstein, São Paulo, Brazil.
Background: The frequency of antibodies in autoimmune encephalitis (AIE) may vary in different populations, however, data from developing countries are lacking. To describe the clinical profile of AIE in Brazil, and to evaluate seasonality and predictors of AIE in adult and pediatric patients.
Methods: We evaluated patients with possible AIE from 17 centers of the Brazilian Autoimmune Encephalitis Network (BrAIN) between 2018 and 2022.
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