Association between phase angle and the nutritional status in pediatric populations: a systematic review.

Background and aims: Malnutrition is prevalent in pediatric populations with any disease, and it is also related to changes in body composition. In addition, recent studies have documented relationships between these changes and phase angle (PhA), an important parameter of functional nutritional assessment. PhA could be a new marker of nutritional status. Many studies have generated information about the association between PhA and malnutrition in various pathologies, although the vast majority of this information is from adult populations. In this systematic review, we answered the following question: What is the association between PhA and the nutritional status in pediatric populations? Methods: We performed a systematic search of the Medline/PubMed and Latin American and Caribbean Health Sciences Literature databases (LILACS) databases for studies published up to October 2022. The inclusion criteria were pediatric subjects, which reported the relationship between PhA and the nutritional status with any objective nutritional indicator, and PhA was measured by electric impedance and reported at 50 kHz. We synthesized data from the studies that reported cutoff analysis of PhA with receiver operating characteristic (ROC) curves, mean PhA values presented by nutritional status strata, and correlations between PhA and nutritional status indicators. We assessed the risk of bias by using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies and the Quality Assessment for Diagnostic Accuracy Studies. Results: Of the 126 studies we identified, 15 met the inclusion criteria. The included studies reported the association between PhA and objective indicators of nutritional status, including weight-for-age z-score (WAZ) <-1 standard deviation (SD) for malnutrition, height-for-age z-score (HAZ) for malnutrition-stunting, body mass index (BMI) for the starvation state, body mass index z-score (BMIz) and BMI for malnutrition, mid-upper arm circumference (MUAC) <11 cm for severe acute malnutrition (SAM), and fat-free mass index z-score (FFMIz) <-2 z-score for moderate malnutrition, among others. The report of these associations between PhA and nutritional status was based on cutoff points generated with ROC curve analysis or comparison of mean PhA values, which were reported stratified by the presence or absence of malnutrition, and correlations between PhA and anthropometric indicators for the evaluation of the nutritional status in the pediatric population. It was difficult to compare the studies due to the heterogeneity of the bioelectrical impedance analysis models used, how PhA was reported (standardized, percentiles, or degrees), and the anthropometric indicators used to diagnose malnutrition. Conclusion: The early identification of malnutrition is relevant to establish the correct nutritional treatment; PhA appears to be a sensitive indicator of nutritional status and is easy to obtain. Although the results of this review are inadequate to establish PhA cutoff points associated with malnutrition in pediatric populations, in most of the studies, there was an association between PhA and objective indicators of nutritional status. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022362413, identifier: PROSPERO 2022 CRD42022362413.

Validación del instrumento Infant Malnutrition and Feeding Checklist for Congenital Heart Disease, una herramienta para identificar riesgo de desnutrición y dificultades de alimentación en lactantes con cardiopatías congénitas / Validation of the instrument “Infant Malnutrition and Feeding Checklist for Congenital Heart Disease”, a tool to identify risk of malnutrition and feeding difficulties in infants with congenital heart disease

Introducción: actualmente, se han diseñado diversas herramientas para detectar oportunamente el riesgo de desnutrición en niños hospitalizados. En aquellos con diagnóstico de cardiopatías congénitas (CC), solo existe una herramienta desarrollada en Canadá, llamada Infant Malnutrition and Feeding Checklist for Congenital Heart Disease (IMFC:CHD), la cual fue diseñada en idioma inglés. Objetivo: evaluar la validez y confiabilidad de la adaptación en español de la herramienta IMFC:CHD en lactantes con CC. Métodos: estudio transversal de validación realizado en dos etapas: la primera, de traducción y adaptación transcultural de la herramienta; y la segunda, de validación de la nueva herramienta traducida, donde se obtuvieron las evidencias de confiabilidad y validez. Resultados: en la primera etapa se obtuvo la herramienta traducida y adaptada al idioma español; para la segunda etapa se incluyeron 24 lactantes con diagnóstico de CC. Se evaluó la validez de criterio concurrente entre la herramienta de tamizaje y la evaluación antropométrica, obteniéndose un acuerdo sustancial (κ = 0,660, IC 95 %: 0,36-0,95). Para la validez de criterio predictiva, la cual fue comparada con los días de estancia hospitalaria, se obtuvo un acuerdo moderado (κ = 0,489, IC 95 %: 0,1-0,8). La confiabilidad de la herramienta se evaluó mediante consistencia externa, midiendo la concordancia interobservador, y se obtuvo un acuerdo sustancial (κ = 0,789, IC 95 %: 0,5-0,9); la reproducibilidad de la herramienta mostró un acuerdo casi perfecto (κ = 1, IC 95 %: 0,9-1,0). Conclusiones: la herramienta IMFC:CHD mostró una adecuada validez y confiabilidad, por lo que podría considerarse un recurso útil para la identificación de desnutrición grave. (AU)

Introduction: currently, various tools have been designed to timely detect the risk of malnutrition in hospitalized children. In those with a diagnosis of congenital heart disease (CHD), there is only one tool developed in Canada: Infant Malnutrition and Feeding Checklist for Congenital Heart Disease (IMFC:CHD), which was designed in English. Objective: to evaluate the validity and reliability of the Spanish adaptation of the IMFC:CHD tool in infants with CHD. Methods: cross-sectional validation study carried out in two stages. The first, of translation and cross-cultural adaptation of the tool, and the second, of validation of the new translated tool, where evidence of reliability and validity were obtained. Results: in the first stage, the tool was translated and adapted to the Spanish language; for the second stage, 24 infants diagnosed with CHD were included. The concurrent criterion validity between the screening tool and the anthropometric evaluation was evaluated, obtaining a substantial agreement (κ = 0.660, 95 % CI: 0.36-0.95) and for the predictive criterion validity, which was compared with the days of hospital stay, moderate agreement was obtained (κ = 0.489, 95 % CI: 0.1-0.8). The reliability of the tool was evaluated through external consistency, measuring theinter-observer agreement, obtaining a substantial agreement (κ = 0.789, 95 % CI: 0.5-0.9), and the reproducibility of the tool showed an almost perfect agreement (κ = 1, CI 95 %: 0.9-1.0). Conclusions: the IMFC:CHD tool showed adequate validity and reliability, and could be considered as a useful resource for the identification of severe malnutrition. (AU)

[Validation of the instrument "Infant Malnutrition and Feeding Checklist for Congenital Heart Disease", a tool to identify risk of malnutrition and feeding difficulties in infants with congenital heart disease]. / Validación del instrumento Infant Malnutrition and Feeding Checklist for Congenital Heart Disease, una herramienta para identificar riesgo de desnutrición y dificultades de alimentación en lactantes con cardiopatías congénitas.

Introduction: Introduction: currently, various tools have been designed to timely detect the risk of malnutrition in hospitalized children. In those with a diagnosis of congenital heart disease (CHD), there is only one tool developed in Canada: Infant Malnutrition and Feeding Checklist for Congenital Heart Disease (IMFC:CHD), which was designed in English. Objective: to evaluate the validity and reliability of the Spanish adaptation of the IMFC:CHD tool in infants with CHD. Methods: cross-sectional validation study carried out in two stages. The first, of translation and cross-cultural adaptation of the tool, and the second, of validation of the new translated tool, where evidence of reliability and validity were obtained. Results: in the first stage, the tool was translated and adapted to the Spanish language; for the second stage, 24 infants diagnosed with CHD were included. The concurrent criterion validity between the screening tool and the anthropometric evaluation was evaluated, obtaining a substantial agreement (κ = 0.660, 95 % CI: 0.36-0.95) and for the predictive criterion validity, which was compared with the days of hospital stay, moderate agreement was obtained (κ = 0.489, 95 % CI: 0.1-0.8). The reliability of the tool was evaluated through external consistency, measuring the inter-observer agreement, obtaining a substantial agreement (κ = 0.789, 95 % CI: 0.5-0.9), and the reproducibility of the tool showed an almost perfect agreement (κ = 1, CI 95 %: 0.9-1.0). Conclusions: the IMFC:CHD tool showed adequate validity and reliability, and could be considered as a useful resource for the identification of severe malnutrition.

Introducción: Introducción: actualmente, se han diseñado diversas herramientas para detectar oportunamente el riesgo de desnutrición en niños hospitalizados. En aquellos con diagnóstico de cardiopatías congénitas (CC), solo existe una herramienta desarrollada en Canadá, llamada Infant Malnutrition and Feeding Checklist for Congenital Heart Disease (IMFC:CHD), la cual fue diseñada en idioma inglés. Objetivo: evaluar la validez y confiabilidad de la adaptación en español de la herramienta IMFC:CHD en lactantes con CC. Métodos: estudio transversal de validación realizado en dos etapas: la primera, de traducción y adaptación transcultural de la herramienta; y la segunda, de validación de la nueva herramienta traducida, donde se obtuvieron las evidencias de confiabilidad y validez. Resultados: en la primera etapa se obtuvo la herramienta traducida y adaptada al idioma español; para la segunda etapa se incluyeron 24 lactantes con diagnóstico de CC. Se evaluó la validez de criterio concurrente entre la herramienta de tamizaje y la evaluación antropométrica, obteniéndose un acuerdo sustancial (κ = 0,660, IC 95 %: 0,36-0,95). Para la validez de criterio predictiva, la cual fue comparada con los días de estancia hospitalaria, se obtuvo un acuerdo moderado (κ = 0,489, IC 95 %: 0,1-0,8). La confiabilidad de la herramienta se evaluó mediante consistencia externa, midiendo la concordancia interobservador, y se obtuvo un acuerdo sustancial (κ = 0,789, IC 95 %: 0,5-0,9); la reproducibilidad de la herramienta mostró un acuerdo casi perfecto (κ = 1, IC 95 %: 0,9-1,0). Conclusiones: la herramienta IMFC:CHD mostró una adecuada validez y confiabilidad, por lo que podría considerarse un recurso útil para la identificación de desnutrición grave.

Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review.

Background and Aims: The determination of energy requirements is necessary to promote adequate growth and nutritional status in pediatric populations. Currently, several predictive equations have been designed and modified to estimate energy expenditure at rest. Our objectives were (1) to identify the equations designed for energy expenditure prediction and (2) to identify the anthropometric and demographic variables used in the design of the equations for pediatric patients who are healthy and have illness. Methods: A systematic search in the Medline/PubMed, EMBASE and LILACS databases for observational studies published up to January 2021 that reported the design of predictive equations to estimate basal or resting energy expenditure in pediatric populations was carried out. Studies were excluded if the study population included athletes, adult patients, or any patients taking medications that altered energy expenditure. Risk of bias was assessed using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Results: Of the 769 studies identified in the search, 39 met the inclusion criteria and were analyzed. Predictive equations were established for three pediatric populations: those who were healthy (n = 8), those who had overweight or obesity (n = 17), and those with a specific clinical situation (n = 14). In the healthy pediatric population, the FAO/WHO and Schofield equations had the highest R 2 values, while in the population with obesity, the Molnár and Dietz equations had the highest R 2 values for both boys and girls. Conclusions: Many different predictive equations for energy expenditure in pediatric patients have been published. This review is a compendium of most of these equations; this information will enable clinicians to critically evaluate their use in clinical practice. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=226270, PROSPERO [CRD42021226270].