title: [Construction of model for calculating and recording neonatal weight percentiles].
abstract: OBJECTIVE
  To construct a model for calculating optimal foetal and neonatal weight curves with a method that allows automatic calculation of the percentile and sequential recording of results.
  
  
  METHODS
  A model was constructed for calculating optimal weight and the corresponding percentiles for gestational age and sex from a sample of 23,578 newborns, after excluding cases with diseases. Birth weight was modelled using stepwise multiple regression analysis. Newborns were classified as small or large for gestational age (SGA or LGA) using the proposed model. The resulting classification was compared with those derived from other models designed for Spanish children.
  
  
  RESULTS
  Optimal weight model: 3,311.062+68.074 *sex+143.267 *GE40 -13.481 *GE40(2) - 0.797 *GE40(3)+sex* (5.528 *GE40 - 0.674 *GE40(2) - 0.064 *GE40(3)). (GE, gestational age). Weight percentiles were obtained from standardized data using the coefficient of variation of the optimal weight. The degree of agreement between our model classification and those of the Carrascosa model and Ramos model, with empirical and smooth percentiles, was "almost perfect" (κ=0.866, κ=0.872, and κ=0.876 (P<.001), respectively), and between our model and that proposed by Figueras it was "substantial" (κ=0.720, P<.001).
  
  
  CONCLUSIONS
  The new model is comparable to those used for Spanish children and allows accurate, updated automatic percentile calculation for gestational age and sex. The results can be digitally stored to track longitudinal foetal growth. Free access to the model is offered, together with the possibility of automatic calculation of foetal and neonatal weight percentiles.
authors.affiliation: Departamento de Pediatría, Obstetricia y Ginecología, Hospital Universitario de Canarias, Universidad de La Laguna, Tenerife, España. Electronic address: ngonzalezg@sego.es.
authors.forename: N L
authors.initials: NL
authors.lastname: González González
authors.affiliation: Departamento de Estadística, Investigación Operativa y Computación, Universidad de La Laguna, Tenerife, España.
authors.forename: E
authors.initials: E
authors.lastname: González Dávila
authors.affiliation: Departamento de Obstetricia y Ginecología, Hospital Universitario Materno Infantil de Canarias, Universidad de Las Palmas, Las Palmas, Gran Canaria, España.
authors.forename: J A
authors.initials: JA
authors.lastname: García Hernández
authors.affiliation: Departamento de Obstetricia y Ginecología, Hospital Universitario Materno Infantil de Canarias, Universidad de Las Palmas, Las Palmas, Gran Canaria, España.
authors.forename: F
authors.initials: F
authors.lastname: Cabrera Morales
authors.affiliation: Departamento de Pediatría, Obstetricia y Ginecología, Hospital Universitario de Canarias, Universidad de La Laguna, Tenerife, España.
authors.forename: E
authors.initials: E
authors.lastname: Padrón
authors.affiliation: Departamento de Pediatría, Obstetricia y Ginecología, Hospital Universitario de Canarias, Universidad de La Laguna, Tenerife, España.
authors.forename: E
authors.initials: E
authors.lastname: Domenech
mesh_terms: D001724:Birth Weight; D005260:Female; D020567:Fetal Weight; D057238:Growth Charts; D006801:Humans; D007231:Infant, Newborn; D008297:Male; D015233:Models, Statistical; D011247:Pregnancy
keywords: Birth weight; Curvas percentiladas; Fatal weight; Grandes para la edad gestacional; Growth curves; Large for gestational age; Pequeños para la edad gestacional; Peso fetal; Peso neonatal; Small for gestational age