Construcción de un modelo de cálculo y registro del percentil de peso neonatal / Construction of model for calculating and recording neonatal weight percentiles

OBJETIVOS: Elaborar unas curvas de peso neonatal con una metodología que permita el acceso al cálculo automático del percentil, el registro y almacenamiento secuencial de los resultados y compararlas con otros modelos creados para niños españoles. MATERIAL Y MÉTODOS: Se realizó un análisis de regresión múltiple considerando como variable dependiente el peso del recién nacido (RN) y la edad gestacional (EG) y el sexo como independientes, para construir un modelo de cálculo del peso óptimo y de los correspondientes percentiles. Se comparan los resultados al clasificar a los RN como grandes o pequeños para la EG con el modelo propuesto y con el de Carrascosa, con el de Figueras y con los de Ramos. RESULTADOS: Modelo de cálculo del peso óptimo: 3.311,062 + 68,074 *sexo + 143,267 *EG40 -13,481 * EG402 - 0,797 *EG403 + sexo* (5,528 *EG40 - 0,674 *EG402 - 0,064 *EG403). Los percentiles de peso se obtuvieron de los datos estandarizados usando el coeficiente de variación del peso óptimo. El grado de concordancia entre el modelo construido y el de Carrascosa, el de Ramos dado en percentiles empíricos y el de Ramos en percentiles suavizados resultó «casi perfecto», κ = 0,866, κ = 0,872 y κ = 0,876 (p < 0,001), respectivamente; y con el de Figueras «considerable», κ = 0,720 (p < 0,001). CONCLUSIONES: El modelo construido es comparable con los utilizados para niños españoles y ofrece como ventajas: La posibilidad de cálculo automático, actualizado y sin ajustes, del percentil de peso. Disponibilidad de forma abierta. Y la posibilidad de registrar y exportar los resultados a cualquier base de datos, puntualmente, o para el seguimiento longitudinal del crecimiento fetal

OBJECTIVES: 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. MATERIAL AND 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 *GE402 - 0.797*GE403 + sex* (5.528 *GE40 - 0.674 *GE402 - 0.064 *GE403). (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<0.001), respectively), and between our model and that proposed by Figueras it was «substantial» κ = 0.720, (P<0.001). 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

[Construction of model for calculating and recording neonatal weight percentiles]. / Construcción de un modelo de cálculo y registro del percentil de peso neonatal.

OBJECTIVES: 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. MATERIAL AND 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.

Dispareunia y coitorragia como manifestaciones de un foco de endometriosis vaginal / Dyspareunia and bleeding during intercourse as manifestations of vaginal endometriosis

Dentro de los cuadros de endometriosis, la localización vaginal es poco frecuente. Las manifestaciones clínicas típicas son: dispareunia y dificultad para las relaciones sexuales, y pueden aparecer diferentes grados de dismenorrea. Es fundamental determinar el grado de extensión de las lesiones vaginales y su localización exacta para la exéresis

Vaginal localization of endometriosis is infrequent. Typical clinical manifestations are dyspareunia and difficulty with intercourse. Varying degrees of dysmenorrhea may also be present. The extension of vaginal lesions and their precise localization are essential for their exeresis