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Resumen Objetivos Desarrollar y validar una herramienta de estimacion del peso en emergencias pediatricas. Metodo Estudio realizado en 2 etapas. Utilizando datos antropometricos informatizados de los servicios de pediatria de atencion primaria de Bilbao (Pais Vasco, Espana) se elaboraron modelos de regresion lineal para estimar el peso en funcion de la estatura. Posteriormente, estos modelos fueron aplicados de forma prospectiva a una muestra consecutiva de pacientes pediatricos atendidos en urgencias de 2 hospitales terciarios. Se compararon los pesos estimados con los reales, calculando el coeficiente de correlacion intraclase (CCI), media de la diferencia y proporcion de mediciones con un error del peso estimado inferior al 10 y 20% con respecto al valor real. Resultados A partir de los datos antropometricos de 15.522 menores se desarrollaron 2 formulas predictivas del peso («formulas de Bilbao»). Las formulas fueron validadas sobre una muestra de 780 pacientes pediatricos, y estimaron valores del peso con un alto grado de correlacion intraclase con respecto al peso real (CCI = 0,93; p Conclusiones Las «formulas de Bilbao» pueden suponer una herramienta valida en la estimacion del peso en pacientes pediatricos en urgencias y predicen el peso con mayor precision que otras formulas de uso mas habitual basadas en la edad.

OBJECTIVE To develop and validate a weight estimation tool applicable in paediatric emergency care. METHODS Using anthropometric data from a computerized database of the primary health care paediatric services, Bilbao (Basque Country, Spain), linear regression models were developed with the objective of estimating weight from height. Subsequently, these models were prospectively validated using a consecutive sample of children attended in the emergency department of two tertiary hospitals. Estimated weights were compared with actual weights, calculating the intraclass correlation coefficient (ICC), mean difference and percentages of estimations falling within 10% and 20% of the actual weight. RESULTS Using anthropometric data from 15522 children two weight predictive formulas were developed (Bilbao Formulas). The formulas were validated on a sample of 780 children and estimated weight values with a high degree of intraclass correlation with the real weight (ICC=.93, P

To determine the validity of different ways of estimating body weight in children attended in the emergency department.Prospective cross-sectional study of a series of patients between 1 month and 14 years of age attended in 2 tertiary care hospitals in the Basque Country, Spain. We used 9 different ways to estimate body weight and compared the estimates to real weight by calculating the mean intraclass correlation coefficient, the mean difference between real and estimated weights, and the proportion of measurements within 10% and 20% of the real weight.Five hundred fifteen pediatric patients were weighed and their weights estimated. All estimates had a high degree of agreement with real weight. A parent's weight estimate performed best: 86.5% of parental estimates were within 10% of the real weight. The next best estimate was achieved with the cardiopulmonary resuscitation (CPR) rule developed at Hospital del Niño Jesús: 65% of the estimates were within the 10% margin. Fewer than 40% of the weight estimates based on formulas using anthropometric measurements were within the 10% margin.A parent's estimate of weight is a valid approximation in children of all ages. When this estimate is not available, the CPR rule of Hospital del Niño Jesús would be the method of choice.Validar distintos métodos destinados a estimar el peso en pacientes pediátricos en urgencias.Serie de casos prospectivo con análisis transversal en pacientes de 1 mes hasta 14 años de edad en dos hospitales terciarios en el País Vasco (España). Se aplicaron 9 herramientas distintas de estimación de peso y se comparó el resultado con el peso real, calculando índices de concordancia (CCI), media de la diferencia y proporción de mediciones con un error del peso estimado inferior al 10% y 20% con respecto al peso real.Se realizaron mediciones en 515 pacientes pediátricos. Todas las estimaciones presentaron una alta concordancia con respecto al peso real. La estimación parental del peso resultó la estrategia con menor margen de error (86,5% de mediciones con error10%), seguida de la Regla RCP del Hospital del Niño Jesús (63,5% de mediciones con error10%). Las fórmulas de estimación basadas en edad o antropometría no ofrecieron proporciones superiores al 40% de mediciones con un error10%.La estimación parental es una herramienta válida para la estimación del peso en niños. Cuando no está disponible esa opción, la Regla de RCP del Hospital del Niño Jesús sería la herramienta de elección.

To develop and validate a weight estimation tool applicable in paediatric emergency care.Using anthropometric data from a computerized database of the primary health care paediatric services, Bilbao (Basque Country, Spain), linear regression models were developed with the objective of estimating weight from height. Subsequently, these models were prospectively validated using a consecutive sample of children attended in the emergency department of two tertiary hospitals. Estimated weights were compared with actual weights, calculating the intraclass correlation coefficient (ICC), mean difference and percentages of estimations falling within 10% and 20% of the actual weight.Using anthropometric data from 15522 children two weight predictive formulas were developed (Bilbao Formulas). The formulas were validated on a sample of 780 children and estimated weight values with a high degree of intraclass correlation with the real weight (ICC=.93, P.001) and a mean difference of .63 (SD: 4.3). The percentages of estimations falling within 10% and 20% of the actual weight of the child was 62.2% (95% CI: 58.7-65.6) and 93.1% (95% CI: 91.1-94.8), respectively. Weight estimations were more accurate using Bilbao Formulas than other classical formulas.Bilbao Formulas would be a valid tool for estimating weight in children in the emergency department and predict weight more accurately than other more commonly used age-based formulas.