Accuracy of equations for estimating resting energy expenditure in children and adolescents living with phenylketonuria.

BACKGROUND: Measuring resting energy expenditure (REE) in individuals living with phenylketonuria (PKU) using indirect calorimetry (IC) is unusual in healthcare facilities because it requires specific protocols and expensive equipment. Considering that determining REE is crucial for devising nutritional strategies for the management of PKU, the aim of this study was to identify the predictive equations that provide the best estimates of REE in children and adolescents living with PKU and to propose a predictive equation for determining REE in this population. METHODS: An REE concordance study was conducted with children and adolescents living with PKU. Anthropometric and body composition assessments using bioimpedance and REE assessment using IC were performed. The results were compared to 29 predictive equations. RESULTS: Fifty-four children and adolescents were evaluated. The REE obtained using IC differed from all estimated REE, except Henry's equation for male children (p = 0.058). Only this equation showed good agreement (0.900) with IC. Eight variables were associated with the REE obtained using IC with emphasis on fat-free mass (kg) (r = 0.786), weight (r = 0.775), height (r = 0.759) and blood phenylalanine (r = 0.503). With these variables, three REE equations were suggested, with R2 = 0.660, 0.635 and 0.618, respectively, and the third equation, which involves weight and height, showed adequate sample size for a statistical power of 0.942. CONCLUSION: Most equations, not specific for individuals living with PKU, overestimate the REE of this population. We propose a predictive equation for assessing REE for children and adolescents living with PKU to be used in settings where IC is not available.

Morphological Description and Live Weight Prediction from Body Measurements of Socorro Island Merino Lambs.

The aim of this study was to describe the morphology and estimate live weight from body measurements of Socorro Island Merino lambs. A group of Socorro Island Merino lambs was recorded from birth to year for live weight, rump width, rump length, withers height, body length, cannon bone perimeter, and chest girth, width, and depth. The effect of the lamb type on body measurements and live weight was analyzed using ANOVA, Pearson's correlation analysis was performed to estimate the relationship between body measurements and live weight, multiple linear regressions were fitted to obtain prediction equations of live weight from the body measurements and finally, chest girth was used to generate prediction equations using linear and exponential models. At birth and at year, differences were observed in body measurements, especially those related to the thoracic region, with crossbred males showing the highest values. Live weight was correlated with almost all the body measurements, with the highest coefficients observed with chest girth, chest width, and chest depth. Live weight can be accurately predicted from multiple regression equations using several body measurements, but using only chest girth (CG) as a predictor, the exponential equation W0-365 = 0.9142 exp(0.0462 CG) showed the best accuracy.

Estudio morfométrico y ecuaciones de predicción del peso corporal en llamas (Lama glama) Ch'aku y Q'ara / Morphometric study and body weight prediction equations in llamas (Lama glama) Ch'aku and Q'ara

RESUMEN: En el estudio se utilizó una población de 180 llamas de ambos sexos (machos y hembras) clasificados por edades (dientes de leche; dos dientes y cuatro dientes). Se registraron datos del peso corporal y las siguientes medidas morfométricas: En la cabeza: Longitud de la cabeza (LC); ancho de cabeza (ACa) y longitud de oreja (LO). En el cuello: Longitud del cuello (LCU); Perímetro de cuello anterior (PCuA) y perímetro de cuello posterior (PCuP). En el tronco y extremidades: Altura a la cruz (AC); altura de la grupa (AGRU), diámetro dorso esternal (DDE), perímetro torácico (PT), longitud del cuerpo (LOCU), longitud de la cruz a la grupa (LCG), longitud de grupa (LGRU), perímetro de caña anterior (PCA); perímetro de caña posterior (PCP). Los datos fueron procesados utilizando el software estadístico R. Concluyendo que los rasgos de conformación en llamas (Lama glama) Ch'aku y Q'ara están influenciados por la edad, sexo y raza. Los modelos de regresión simple y múltiple para la predicción del peso corporal fueron significativos.

SUMMARY: The study used a population of 180 llamas of both sexes (males and females) classified by age (milk teeth; two teeth and four teeth). Body weight data and the following morphometric measurements were recorded: Head: Head length (CL); head width (ACa) and ear length (LO). On the neck: Neck length (LCU); anterior neck circumference (PCuA) and posterior neck circumference (PCuP). On the trunk and limbs: Height at withers (AC); height at rump (AGRU), sternal dorsal diameter (DDE), thoracic perimeter (PT), body length (LOCU), length from withers to rump (LCG), rump length (LGRU), anterior canine perimeter (PCA); posterior canine perimeter (PCP). The data were processed using R statistical software. It was concluded that conformation traits in Ch'aku and Q'ara llamas (Lama glama) are influenced by age, sex and breed. Simple and multiple regression models for body weight prediction were significant.

Protein and energy for maintenance and gain of European quail fed different energy sources and housed at two temperatures

The objective of this study was to evaluate whether replacing corn starch (CS) energy with isolated soy protein (ISP) and soybean oil (SO) and the ambient temperature affect the protein and energy requirements for maintenance and gain of European quail. Thus, a total of 432 European quail from 10 to 30 days of age, distributed in a completely randomized design, were used to estimate the protein and energy requirements for maintenance through the comparative slaughter methodology. The treatments consisted of three diets formulated with the replacement of CS, corresponding to 15% of the metabolizable energy in the diet, with ISP and SO, two controlled temperatures (26 and 35 °C), and three levels of feed supply (ad libitum, and 70 and 40% of ad libitum intake), with four replicates of six birds. Protein and energy requirements for weight gain were determined from 160 European quail, slaughtered every five days at 10, 15, 20, 25, and 30 days of age. Birds were housed in four groups of 40 birds in a room with thermoneutral temperature (26 °C). The energy sources of the feed and temperatures studied affected protein and energy requirements for maintenance and gain of European quail. Replacing CS energy by 15% of dietary energy with SO results in lower protein and energy maintenance requirements for European quail at both temperatures. The protein and energy weight gain requirements of quail fed SO as an energy source is higher than CS and ISP.(AU)

Development of clinically based prediction models using machine learning and Bayesian statistics / Desarrollo de modelos de predicción basados clínicamente utilizando aprendizaje automático y estadísticas bayesianas

Abstract In this work, the framework for developing generic clinically based models is emphasized and illustrated with Bayesian statistics neurologic grade prediction models in order to exemplify the type of models that can be developed from a mathematical point of view. The models are based on clinical records of patients who underwent radiotherapy treatment due to glioblastoma which is an aggressive brain cancer. A first model requires as a parameter the neurologic grade of the patient before the treatment then predicts the grade after the treatment. A second, enhanced, model was developed with the aim of making the prediction more realistic and it uses the neurologic grade before the treatment as well, but it additionally depends on the Clinical Target Volume (CTV). Furthermore, with the aid of Bayesian statistic we were able to estimate the uncertainty of the predictions.

Resumen En este trabajo el marco teórico, para desarrollar modelos genéricos basados en datos clínicos, se enfatiza e ilustra con estadísticas bayesianas las cuales predicen grados neurológicos para ilustrar los tipos de modelos que se pueden desarrollar desde un punto de vista matemático. Los modelos se basan en datos clínicos de pacientes que se han sometido a radioterapia por causa de un glioblastoma, el cual es un cáncer de cerebro agresivo. Un primer modelo requiere como parámetro el grado neurológico del paciente antes del tratamiento y predice el grado después del tratamiento. Un segundo modelo, mejorado, fue desarrollado con el propósito de hacerlo más real, éste emplea también el grado neurológico antes del tratamiento; además depende del Volumen Blanco Clínico (CTV por sus siglas en inglés). Por último, con el uso de estadísticas bayesianas fue posible estimar la incertidumbre de las predicciones.

Models for predicting protein requirements for meat quail.

Three experiments were carried out to determine the crude protein requirements for maintenance (CPm) and weight gain (CPg) of meat quail and to develop protein-requirement prediction models. Experiment 1 was conducted to determine CPm by the nitrogen-balance technique. The regression of nitrogen balance on nitrogen intake revealed a CPm requirement of 2.94 g/kg0.75 /day. Experiment 2 was aimed at determining CPm by the comparative-slaughter technique. Retained nitrogen (RN) and nitrogen intake (NI) were quantified considering the metabolic weight of the birds. The linear regression of RN on NI provided a CPm estimate of 6.63 g/kg0.75 /day. Experiment 3 was conducted to determine CPg. The regression of body nitrogen from the carcasses on fasted body weight revealed CPg estimates of 407.68 (0-7 days), 501.76 (8-14 days), 470.40 (0-14 days), 517.44 (15-21 days), 627.20 (22-28 days), 423.36 (29-35 days), and 517.44 mg/g (15-35 days). The protein-requirement prediction models developed for meat quail aged 0-7, 8-14, 0-14, 15-21, 22-28, 29-35, and 15-35 days were CP = 2.94.W0.75  + 0.408.G; CP = 2.94.W0.75  + 0.502.G; CP = 2.94.W0.75  + 0.470.G; CP = 2.94.W0.75  + 0,517.G; CP = 2.94.W0.75  + 0.627.G; CP = 2.94.W0.75  + 0.423.G; CP = 2.94.W0.75  + 0.517.G, respectively, where: W0.75  =  metabolic weight (kg), and G =  daily weight gain (g).

An anthropometry-based equation of fat mass percentage as a valid discriminator of obesity.

OBJECTIVE: To develop a new predictive equation for fat mass percentage (%FM) based on anthropometric measurements and to assess its ability to discriminate between obese and non-obese individuals. DESIGN: Cross-sectional study. SETTING: Mexican adults.ParticipantsAdults (n 275; 181 women) aged 20-63 years with BMI between 17·4 and 42·4 kg/m2. RESULTS: Thirty-seven per cent of our sample was obese using %FM measured by air-displacement plethysmography (BOD POD®; Life Measurement Instruments). The fat mass was computed from the difference between weight and fat-free mass (FFM). FFM was estimated using an equation obtained previously in the study from weight, height and sex of the individuals. The %FM estimated from the obtained FFM showed a sensitivity of 90·3 (95 % CI 86·8, 93·8) % and a specificity of 58·0 (95 % CI 52·1, 63·8) % in the diagnosis of obesity. Ninety-three per cent of participants with obesity and 65 % of participants without obesity were correctly classified. CONCLUSIONS: The anthropometry-based equation obtained in the present study could be used as a screening tool in clinical and epidemiological studies not only to estimate the %FM, but also to discriminate the obese condition in populations with similar characteristics to the participant sample.

Development of regression equations for estimating height and weight using body segments in Argentine children.

OBJECTIVES: Body weight and height measurements are essential in children for assessing growth and nutrition, for the calculation of medication doses, and for the effectiveness of medical interventions. When direct measurements cannot be made, segmental measures can be used to estimate weight and height. The equations available to estimate height and weight, however, are limited. The aim of this study was to use segmental measures to develop equations for use in pediatric clinical practice. METHODS: A cross-sectional study design was used to collect data from 861 healthy children (484 females and 377 males) ages 2 to 18 y to develop equations for estimating weight and height from midarm circumference (MAC) and knee-heel height (KH), respectively. A multi-linear regression model was used to develop the equations. RESULTS: The high correlation between MAC and the actual weight and KH and height indicates strong agreement. Four equations were developed to estimate weight and height using segmental measures. 1. To estimate weight from MAC for females: W = 2.37 × MAC + 1.64 × age (y) - 28.28. 2. To estimate weight for males: W = 2.54 × MAC + 1.82 × age (y) - 32.73. 3. To estimate height from KH for females: H = 2.88 × KH + 0.15. 4. To estimate height from KH for males: H = 2.73 × KH + 0.21. CONCLUSIONS: MAC and KH can be used for estimation equations for weight and height with a very good predictive power. Sex and age were significant covariates in estimating weight. To predict height, only sex was needed to fit the model.

Using near infrared spectroscopy to predict metabolizable energy of corn for pigs

The chemical composition of corn is variable and the knowledge of its chemical and energetic composition is required for an accurate formulation of the diet. This study aimed to determine the chemical composition, that is, dry matter (DM), mineral matter (MM), neutral detergent fiber (NDF), acid detergent fiber (ADF), ether extract (EE), crude protein (CP), gross energy (GE) and energetic values of different varieties (batches) of corn and validate mathematical models to predict the metabolizable energy values (ME) of corn for pigs using near infrared spectroscopy (NIRS). Corn samples were scanned in the spectrum range between 1,100 and 2,500 nm, the model parameters were estimated by the modified partial least squares (MPLS) method. Ten prediction equations were inserted into the NIRS and used to estimate the ME values. The first degree linear regression models of the estimated ME values in function of the observed ME values were adjusted. The existence of a linear ratio was evaluated by detecting the significance to posterior estimates of the straight line parameters. The values of digestible energy and ME ranged from 3,400 to 3,752 and 3,244 to 3,611 kcal kg1, respectively. The prediction equations, ME1 = 4334 8.1MM + 4.1EE 3.7NDF; ME2 = 4,194 9.2MM + 1.0CP + 4.1EE 3.5NDF; and ME7 = 16.13 9.5NDF + 16EE + (23CP × NDF) (138MM × NDF) were the most adequate to predict the ME values of corn by using NIRS.(AU)

Accurate determination of energy requirements in hospitalised patients with parenteral nutrition.

BACKGROUND: The prescription of parenteral nutrition (PN) in hospitalised patients requires an estimation of the energy requirements. Most studies employing prediction equations (PEs) to estimate energy requirements have focused on critically ill patients. The present study aimed to evaluate several PEs of the resting energy expenditure (REE) to identify the most accurate equation for estimating the REE required for PN. METHODS: This cross-sectional and descriptive study included patients hospitalised with medical or surgical diagnoses, making them candidates for PN. Epidemiological data, the reason for hospital admission, nutritional screening results, characteristics of the PN administered and REE by indirect calorimetry (IC) were recorded and, subsequently, PEs were calculated. RESULTS: In total, 116 patients were recruited with a mean (SD) age of 56.7 (13.8) years and body mass index of 21.3 (4.25) kg m-2 . The diagnosis was medical in 52% of patients and surgical in 48%. The mean (SD) REEs of patients, according to IC, were: 6.11 (1.18) MJ [1461 (281) kcal]; and according to PEs: Mifflin, 5.07 (1.05) MJ [1212 (252) kcal]; Owen, 5.43 (0.72) MJ [1298 (172) kcal]; Harris-Benedict, 5.38 (0.85) MJ [1285 (204) kcal]; Ireton-Jones, 6.20 (1.69) MJ [1481 (403) kcal]; and short equation, 6.12 (0.92) MJ [1464 (220) kcal]. A comparison of the results obtained for the REE by IC and with PEs indicated that the short equation had less bias than the other equations, with an accuracy of 54% CONCLUSIONS: In hospitalised patients who receive PN, determination of the REE should ideally be made by IC. PEs are acceptable but not exact and so their estimation could overfeed or underfeed the patient.

Digestibility and net energy prediction of rice by products determined with piglets / Digestibilidade e predição da energia líquida de subprodutos de arroz determinado com leitões

The aim of this study was to determine the chemical composition, digestibility, and net energy (NE) of broken rice (BRR), stabilized rice bran (SRB), and parboiled rice bran (PRB) for piglets. Two digestibility trials were performed with 12 and 18 male pigs with initial weights of 8 and 16kg, respectively. We performed total fecal collection using ferric oxide as fecal marker. The digestibility coefficients of organic matter, crude protein, and gross energy were higher (P<0.001) for the BRR compared to the SRB and PRB. The PRB presented a digestible energy 2% lower than that of BR and 5% higher than that of SRB. For BRR, average NE value was 3,228kcal/kg dry matter (DM), and the difference between the lower and higher value was 311kcal/kg DM. Average NE values of SRB and PRB were 2,896 and 3,293kcal/kgDM, respectively. The difference between the energy predicted by each equation reached 190kcal/kgDM for SRB and 285kcal/kgDM for PRB. In conclusion, BRR showed higher nutrient digestibility coefficients, except for EE and GE, which can be attributed to differences in the production processes. Regardless of the type of feedstuff tested, equations to predict NE values should be used carefully due to considerable differences in energy content.(AU)

O objetivo deste estudo foi determinar a composição química, a digestibilidade e a energia líquida (EL) da quirera (QR), farelo de arroz estabilizado (FAE) e farelo de arroz parboilizado (FAP) para leitões. Foram realizados dois ensaios de digestibilidade com 12 e 18 suínos machos com pesos iniciais de 8 e 16kg, respectivamente. A coleta fecal total foi realizada usando óxido férrico como marcador fecal. Os coeficientes de digestibilidade da matéria orgânica, proteína e energia bruta (EB) foram maiores (P<0,001) para o QR em comparação com o FAE e FAP. O FAP apresentou energia digestível 2% inferior à da QR e 5% maior que a da FAE. Para QR, o valor médio de EL foi de 3,228kcal/kg de matéria seca (DM), e a diferença entre o valor inferior e o valor superior foi de 311kcal/kg de MS. Os valores médios de EL de FAE e FAP foram de 2.896 e 3.293kcal/kgMS, respectivamente. A diferença entre a energia predita por cada equação atingiu 190kcal/kgMS para FAE e 285kcal/kgMS para FAP. Em conclusão, QR mostrou maiores coeficientes de digestibilidade dos nutrientes, exceto EE e EB, o que pode ser atribuído a diferenças nos processos de produção. Independentemente do tipo de alimento testado, as equações para prever os valores de EL devem ser usadas com cuidado devido a diferenças consideráveis no conteúdo energético.(AU)

Meta-analysis of the energy and protein requirements of hair sheep raised in the tropical region of Brazil.

The objective of this study was to estimate, through mathematical models, energy and protein requirements for maintenance and gain of hair sheep raised in the tropical region of Brazil. To determine the equation parameters, a meta-analysis of seven independent experiments of nutrient requirements was performed, comprising a total of 243 experimental units (animals), which were conducted under tropical conditions, using hair sheep in growing and finishing phases and endowed of the following quantitative data for each animal: body weight (BW), empty body weight (EBW), average daily gain (ADG), empty body gain (EBG), heat production (HP), metabolizable energy intake (MEI), retained energy (RE), metabolizable protein intake (MPI) and body protein content. The regression equations generated were as follows: for Net Energy for maintenance, (NEm ): LogHP(MJEBW-0.75day-1)=-0.6090(±0.07470)+0.5149(±0.07216)×MEI(MJEBW-0.75day-1); for Net Energy for gain, (NEg ): LogRE(MJEBW-0.75day-1)=0.03084(±0.05334)+0.8455(±0.04355)×LogEBG(kg/day); for Metabolizable Protein for maintenance,(MPm ): MPI(g/day)  = 24.8470 (±7.3646) + 560.28 (±99.6582) × EBG(kg/day) ; for Net Protein for gain, (NPg ): NPg(kg/day)=0.1941×EBW(kg)-0.1058. The NEm requirement was 0.246 MJ EBW-0.75  day-1 . The metabolizable energy for maintenance requirement was 0.391 MJ EBW-0.75  day-1 . Considering an ADG of 100 g, the NEg requirement ranged from 0.496 to 1.701 MJ/day for animals with BW ranging from 10 to 40 kg respectively. The efficiencies of use of the metabolizable energy for maintenance and gain were 0.63 and 0.36 respectively. The MPm requirement was 3.097 g EBW-0.75  day-1 . Considering an ADG of 100 g, the NPg requirement ranged from 12.4 to 10.5 g/day for animals with BW ranging from 10 to 40 kg respectively. The total metabolizable energy and protein requirements were lower than those reported by the NRC and AFRC systems. Thus, our results support the hypothesis that nutrient requirements of hair sheep raised in tropical regions differ from wool sheep raised in temperate regions. Therefore, the use of the equations designed in this study is recommended.

Digestibility and net energy prediction of rice by products determined with piglets / Digestibilidade e predição da energia líquida de subprodutos de arroz determinado com leitões

ABSTRACT: The aim of this study was to determine the chemical composition, digestibility, and net energy (NE) of broken rice (BRR), stabilized rice bran (SRB), and parboiled rice bran (PRB) for piglets. Two digestibility trials were performed with 12 and 18 male pigs with initial weights of 8 and 16kg, respectively. We performed total fecal collection using ferric oxide as fecal marker. The digestibility coefficients of organic matter, crude protein, and gross energy were higher (P<0.001) for the BRR compared to the SRB and PRB. The PRB presented a digestible energy 2% lower than that of BR and 5% higher than that of SRB. For BRR, average NE value was 3,228kcal/kg dry matter (DM), and the difference between the lower and higher value was 311kcal/kg DM. Average NE values of SRB and PRB were 2,896 and 3,293kcal/kgDM, respectively. The difference between the energy predicted by each equation reached 190kcal/kgDM for SRB and 285kcal/kgDM for PRB. In conclusion, BRR showed higher nutrient digestibility coefficients, except for EE and GE, which can be attributed to differences in the production processes. Regardless of the type of feedstuff tested, equations to predict NE values should be used carefully due to considerable differences in energy content.

RESUMO: O objetivo deste estudo foi determinar a composição química, a digestibilidade e a energia líquida (EL) da quirera (QR), farelo de arroz estabilizado (FAE) e farelo de arroz parboilizado (FAP) para leitões. Foram realizados dois ensaios de digestibilidade com 12 e 18 suínos machos com pesos iniciais de 8 e 16kg, respectivamente. A coleta fecal total foi realizada usando óxido férrico como marcador fecal. Os coeficientes de digestibilidade da matéria orgânica, proteína e energia bruta (EB) foram maiores (P<0,001) para o QR em comparação com o FAE e FAP. O FAP apresentou energia digestível 2% inferior à da QR e 5% maior que a da FAE. Para QR, o valor médio de EL foi de 3,228kcal/kg de matéria seca (DM), e a diferença entre o valor inferior e o valor superior foi de 311kcal/kg de MS. Os valores médios de EL de FAE e FAP foram de 2.896 e 3.293kcal/kgMS, respectivamente. A diferença entre a energia predita por cada equação atingiu 190kcal/kgMS para FAE e 285kcal/kgMS para FAP. Em conclusão, QR mostrou maiores coeficientes de digestibilidade dos nutrientes, exceto EE e EB, o que pode ser atribuído a diferenças nos processos de produção. Independentemente do tipo de alimento testado, as equações para prever os valores de EL devem ser usadas com cuidado devido a diferenças consideráveis no conteúdo energético.

Using near infrared spectroscopy to predict metabolizable energy of corn for pigs

ABSTRACT: The chemical composition of corn is variable and the knowledge of its chemical and energetic composition is required for an accurate formulation of the diet. This study aimed to determine the chemical composition, that is, dry matter (DM), mineral matter (MM), neutral detergent fiber (NDF), acid detergent fiber (ADF), ether extract (EE), crude protein (CP), gross energy (GE) and energetic values of different varieties (batches) of corn and validate mathematical models to predict the metabolizable energy values (ME) of corn for pigs using near infrared spectroscopy (NIRS). Corn samples were scanned in the spectrum range between 1,100 and 2,500 nm, the model parameters were estimated by the modified partial least squares (MPLS) method. Ten prediction equations were inserted into the NIRS and used to estimate the ME values. The first degree linear regression models of the estimated ME values in function of the observed ME values were adjusted. The existence of a linear ratio was evaluated by detecting the significance to posterior estimates of the straight line parameters. The values of digestible energy and ME ranged from 3,400 to 3,752 and 3,244 to 3,611 kcal kg1, respectively. The prediction equations, ME1 = 4334 8.1MM + 4.1EE 3.7NDF; ME2 = 4,194 9.2MM + 1.0CP + 4.1EE 3.5NDF; and ME7 = 16.13 9.5NDF + 16EE + (23CP × NDF) (138MM × NDF) were the most adequate to predict the ME values of corn by using NIRS.

Digestibility and net energy prediction of rice by products determined with piglets / Digestibilidade e predição da energia líquida de subprodutos de arroz determinado com leitões

The aim of this study was to determine the chemical composition, digestibility, and net energy (NE) of broken rice (BRR), stabilized rice bran (SRB), and parboiled rice bran (PRB) for piglets. Two digestibility trials were performed with 12 and 18 male pigs with initial weights of 8 and 16kg, respectively. We performed total fecal collection using ferric oxide as fecal marker. The digestibility coefficients of organic matter, crude protein, and gross energy were higher (P<0.001) for the BRR compared to the SRB and PRB. The PRB presented a digestible energy 2% lower than that of BR and 5% higher than that of SRB. For BRR, average NE value was 3,228kcal/kg dry matter (DM), and the difference between the lower and higher value was 311kcal/kg DM. Average NE values of SRB and PRB were 2,896 and 3,293kcal/kgDM, respectively. The difference between the energy predicted by each equation reached 190kcal/kgDM for SRB and 285kcal/kgDM for PRB. In conclusion, BRR showed higher nutrient digestibility coefficients, except for EE and GE, which can be attributed to differences in the production processes. Regardless of the type of feedstuff tested, equations to predict NE values should be used carefully due to considerable differences in energy content.

O objetivo deste estudo foi determinar a composição química, a digestibilidade e a energia líquida (EL) da quirera (QR), farelo de arroz estabilizado (FAE) e farelo de arroz parboilizado (FAP) para leitões. Foram realizados dois ensaios de digestibilidade com 12 e 18 suínos machos com pesos iniciais de 8 e 16kg, respectivamente. A coleta fecal total foi realizada usando óxido férrico como marcador fecal. Os coeficientes de digestibilidade da matéria orgânica, proteína e energia bruta (EB) foram maiores (P<0,001) para o QR em comparação com o FAE e FAP. O FAP apresentou energia digestível 2% inferior à da QR e 5% maior que a da FAE. Para QR, o valor médio de EL foi de 3,228kcal/kg de matéria seca (DM), e a diferença entre o valor inferior e o valor superior foi de 311kcal/kg de MS. Os valores médios de EL de FAE e FAP foram de 2.896 e 3.293kcal/kgMS, respectivamente. A diferença entre a energia predita por cada equação atingiu 190kcal/kgMS para FAE e 285kcal/kgMS para FAP. Em conclusão, QR mostrou maiores coeficientes de digestibilidade dos nutrientes, exceto EE e EB, o que pode ser atribuído a diferenças nos processos de produção. Independentemente do tipo de alimento testado, as equações para prever os valores de EL devem ser usadas com cuidado devido a diferenças consideráveis no conteúdo energético.

Using near infrared spectroscopy to predict metabolizable energy of corn for pigs

ABSTRACT: The chemical composition of corn is variable and the knowledge of its chemical and energetic composition is required for an accurate formulation of the diet. This study aimed to determine the chemical composition, that is, dry matter (DM), mineral matter (MM), neutral detergent fiber (NDF), acid detergent fiber (ADF), ether extract (EE), crude protein (CP), gross energy (GE) and energetic values of different varieties (batches) of corn and validate mathematical models to predict the metabolizable energy values (ME) of corn for pigs using near infrared spectroscopy (NIRS). Corn samples were scanned in the spectrum range between 1,100 and 2,500 nm, the model parameters were estimated by the modified partial least squares (MPLS) method. Ten prediction equations were inserted into the NIRS and used to estimate the ME values. The first degree linear regression models of the estimated ME values in function of the observed ME values were adjusted. The existence of a linear ratio was evaluated by detecting the significance to posterior estimates of the straight line parameters. The values of digestible energy and ME ranged from 3,400 to 3,752 and 3,244 to 3,611 kcal kg1, respectively. The prediction equations, ME1 = 4334 8.1MM + 4.1EE 3.7NDF; ME2 = 4,194 9.2MM + 1.0CP + 4.1EE 3.5NDF; and ME7 = 16.13 9.5NDF + 16EE + (23CP × NDF) (138MM × NDF) were the most adequate to predict the ME values of corn by using NIRS.

Predicting the metabolizable energy of first and second corn harvests for piglets / Predição da energia metabolizável do milho de primeira e segunda safra para leitões

ABSTRACT Corn is one of the primary ingredients in swine diets, but there is a variation in its chemical composition and metabolizable energy (ME) content. Therefore, faster methods are required that can determine more accurate ME values to improve piglet diets. This study determined and predicted the ME of corn from first and second harvests for piglets. Two experiments were conducted to determine the ME values for 18 corn batches, evaluating corn from first and second harvests. The corn batches were analysed to determine the concentration of dry matter (DM), starch (ST), neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (CP), ether extract (EE), ash, calcium (Ca), phosphorus (P) and gross energy (GE). To determine the ME values, 40 piglets were used in each experiment, grouped into a randomized block design with four replicates. The ME of the corn from the first and second crops ranged from 3281 to 3509 and from 3143 to 3652 kcal/kg on an as-fed basis, respectively, and the fitted equations to predict the ME presented a low R2. The best fit equation for predicting the ME of corn for piglets was determined to be ME= - 6306.15 + 400.652ADF + 117.286ST + 24924.7Ca + 2489.66P - 148.41CP (R2=0.44) for the first harvest; ME= -7560.08 + 2.66895GE - 120.69ADF (R2=0.48) for the second harvest; and ME= 2848.95 + 68.5714NDF + 161.938EE - 5563.5Ca - 1454.2P (R2=0.41) for the joint harvest.

RESUMO O milho é um dos principais alimentos utilizados em rações para suínos, porém existem variações em sua composição química e conteúdo de energia metabolizável (EM). Portanto, são necessários métodos rápidos para se determinar os valores de EM de forma precisa, melhorando as dietas dos leitões. O trabalho determinou e ajustou equações de predição de EM do milho de 1a e 2a safra para leitões. Foram realizados dois experimentos para determinar os valores de EM de 18 cultivares de milho, avaliando-se os milhos de 1ª e 2ª safras. Foram realizadas as análises de matéria seca (MS), amido (AMI), fibra em detergente neutro (FDN), fibra em detergente ácido (FDA), proteína bruta (PB), extrato etéreo (EE), matéria mineral (MM), cálcio (Ca), fósforo (P) e energia bruta (EB) dos milhos. Para a determinação dos valores energéticos foram utilizados 40 animais em cada experimento, distribuídos em um delineamento experimental de blocos ao acaso com quatro repetições. Os valores de EM dos milhos de 1ª e 2ª safra variaram de 3281 a 3509 e de 3143 a 3652 kcal/kg MN, respectivamente, as equações ajustadas para predizer a EM apresentaram baixo R2. Os melhores ajustes para predizer a EM do milho para leitões são representados pelas equações EM= - 6306,15 + 400,652FDA + 117,286AMI + 24924,7Ca + 2489,66P - 148,41PB (R2=0,44), para os milhos de 1ª safra; EM = -7560,08 + 2,66895EB - 120,69FDA (R2=0,48), para os milhos de 2ª safra; e para o período completo de safras foi ajustada a equação EM= 2848,95 + 68,5714FDN + 161,938EE - 5563,5Ca - 1454,2P (R2=0,41).

Desarrollo de ecuaciones y propuesta de valores referenciales para estimar la masa grasa de niños y adolescentes chilenos / Development of equations and proposed reference values to estimate body fat mass among Chilean children and adolescents

Introducción. La evaluación de la composición corporal es relevante para determinar el estado nutricional e identificar posibles riesgos para la salud. Objetivo. a) Desarrollar ecuaciones de regresión para predecir la masa grasa (MG) utilizando como método de referencia la absorciometría de rayos X de doble energía; b) proponer valores referenciales de MG en función de la edad cronológica y biológica para niños y adolescentes chilenos. Metodología. Estudio transversal en niños y adolescentes de 5,0 a 18,9 años de la región del Maule (Chile). La muestra fue conformada de forma probabilística (estratificada) por 3593 sujetos. Se evaluó el peso, estatura de pie, estatura sentada y circunferencia de la cintura. Se calculó el índice de masa corporal y los años de pico de velocidad del crecimiento (APVC). La composición corporal (MG, masa libre de grasa, masa ósea y porcentaje de grasa) fueron determinados por medio del escaneo de absorciometría de rayos X de doble energía. Resultados. Los APVC (edad biológica) se presentaron en los hombres a los 14,9 ± 0,9 APVC y, en las mujeres, a los 11,5 ± 0,7 APVC. Se generaron ecuaciones para estimar la MG para hombres y mujeres, utilizando como predictores la edad cronológica, APVC y circunferencia de cintura. Se desarrollaron percentiles para evaluar la MG por absorciometría de rayos X de doble energía y por ecuaciones de regresión. Conclusión. Las ecuaciones mostraron aceptabilidad para determinar la MG; además, se han propuesto valores referenciales para evaluar la MG en función de la edad cronológica y biológica.

Introduction. The assessment of body composition is relevant to establish nutritional status and identify potential health risks. Objective. a) To develop regression equations to predict fat mass (FM) using a dual-energy X-ray absorptiometry as reference method; b) to propose reference FM values based on chronological and biological age for Chilean children and adolescents. Methodology. Cross-sectional study in children and adolescents aged 5.0 to 18.9 years from the Maule Region (Chile). The sample was made up of 3593 subjects in a probabilistic fashion (stratified). Subjects' weight, standing height, sitting height, and waist circumference were assessed. Body mass index and age at peak development velocity (APGV) were estimated. Body composition (FM, fat-free mass, bone mass, and fat percentage) were established based on a dual-energy X-ray absorptiometry scan. Results. APGV (biological age) was 14.9 ± 0.9 years among boys and 11.5 ± 0.7 among girls. Equations were developed to estimate FM among boys and girls using chronological age, APGV, and waist circumference as predictors. Percentiles were estimated to assess FM by dual-energy X-ray absorptiometry and regression equations. Conclusion. Equations were acceptable to establish FM; in addition, reference values were proposed to assess FM based on chronological and biological age.

Development of equations and proposed reference values to estimate body fat mass among Chilean children and adolescents. / Desarrollo de ecuaciones y propuesta de valores referenciales para estimar la masa grasa de niños y adolescentes chilenos.

INTRODUCTION: The assessment of body composition is relevant to establish nutritional status and identify potential health risks. OBJETIVE: a) To develop regression equations to predict fat mass (FM) using a dual-energy X-ray absorptiometry as reference method; b) to propose reference FM values based on chronological and biological age for Chilean children and adolescents. METHODOLOGY: Cross-sectional study in children and adolescents aged 5.0 to 18.9 years from the Maule Region (Chile). The sample was made up of 3593 subjects in a probabilistic fashion (stratified). Subjects' weight, standing height, sitting height, and waist circumference were assessed. Body mass index and age at peak development velocity (APGV) were estimated. Body composition (FM, fat-free mass, bone mass, and fat percentage) were established based on a dual-energy X-ray absorptiometry scan. RESULTS: APGV (biological age) was 14.9 ± 0.9 years among boys and 11.5 ± 0.7 among girls. Equations were developed to estimate FM among boys and girls using chronological age, APGV, and waist circumference as predictors. Percentiles were estimated to assess FM by dual-energy X-ray absorptiometry and regression equations. CONCLUSION: Equations were acceptable to establish FM; in addition, reference values were proposed to assess FM based on chronological and biological age.

INTRODUCCIÓN: La evaluación de la composición corporal es relevante para determinar el estado nutricional e identificar posibles riesgos para la salud. OBJETIVO: a) Desarrollar ecuaciones de regresión para predecir la masa grasa (MG) utilizando como método de referencia la absorciometría de rayos X de doble energía; b) proponer valores referenciales de MG en función de la edad cronológica y biológica para niños y adolescentes chilenos. Metodología. Estudio transversal en niños y adolescentes de 5,0 a 18,9 años de la región del Maule (Chile). La muestra fue conformada de forma probabilística (estratificada) por 3593 sujetos. Se evaluó el peso, estatura de pie, estatura sentada y circunferencia de la cintura. Se calculó el índice de masa corporal y los años de pico de velocidad del crecimiento (APVC). La composición corporal (MG, masa libre de grasa, masa ósea y porcentaje de grasa) fueron determinados por medio del escaneo de absorciometría de rayos X de doble energía. RESULTADOS: Los APVC (edad biológica) se presentaron en los hombres a los 14,9 ± 0,9 APVC y, en las mujeres, a los 11,5 ± 0,7 APVC. Se generaron ecuaciones para estimar la MG para hombres y mujeres, utilizando como predictores la edad cronológica, APVC y circunferencia de cintura. Se desarrollaron percentiles para evaluar la MG por absorciometría de rayos X de doble energía y por ecuaciones de regresión. CONCLUSIÓN: Las ecuaciones mostraron aceptabilidad para determinar la MG; además, se han propuesto valores referenciales para evaluar la MG en función de la edad cronológica y biológica.

Desarrollo y validación de ecuaciones para estimar composición corporal en niños de 4 a 6 años de Uruguay / Development and validation of equations for estimating body composition in 4-6 year old children from Uruguay

A correct diagnosis of obesity requires estimating body composition since it is linked to excess fat. Therefore it is necessary to have practical and sensitive methods of measurement. The aim of this study was to develop and validate bioelectrical impedance (BIA) and anthropometric equations to estimate fat mass (FM) and fat-free mass (FFM). Anthropometric measurements, BIA and deuterium dilution technique as the reference standard were performed in 191 children (4-6 years). Two equations were developed using multiple regression models and were validated in a subsample. Bland and Altman was applied to evaluate the bias differences between the means of both methods. The BIA equation was FFM (kg)= 2,089 + (0,346 * Fieight²/Resistance) + (0,312 * Weight) + (0,660 * Sex); with R2= 0.92, SRMSE 0,67 kg, bias 0,140 kg and precision 0,73 kg. The anthropometric equation was FM (kg)= 0.841 + (0,408 * Weight) + (0,137 * Subscapular-Skinfolds-Thickness) + (0,104 * Tricipital-Skinfolds-Thickness) - (0,764 * Sex) - (0,054 * Feight); with R2= 0.89, SRMSE 0,68 kg, bias -0,01 kg and precision 0,76 kg. The equations validated had a good predictive capacity and can be especially useful in epidemiological studies.

Un correcto diagnóstico de obesidad requiere estimar la composición corporal pues ésta se vincula al exceso de grasa, siendo necesario disponer de métodos prácticos y sensibles para su medición. El objetivo fue desarrollar y validar ecuaciones antropométricas y de bio-impedancia para estimar masa grasa (MG) y masa libre de grasa (MLG). Se realizaron mediciones antropométricas, de bio-impedancia y se aplicó la técnica de dilución con óxido de deuterio como patrón oro a 191 preescolares. Se desarrollaron dos ecuaciones utilizando modelos de regresión múltiple y se validaron en una submuestra. Se aplicó Bland-Altman para evaluar el sesgo entre las diferencias de las medias de ambos métodos. Las ecuaciones diseñadas fueron: MLG (kg)= 2,089 + (0,346* Talla²/Resistencia) + (0,312* Peso) + (0,660* Sexo); con R2= 0,92; SRMSE 0,67kg; sesgo 0,140 kg y precisión 0,73 kg; y MG (kg)= 0,841 + (0,408* Peso) + (0,137* Pliegue Subescapular) + (0,104* Pliegue Tricipital) - (0,764* Sexo) - (0,054* Talla) con R2= 0,89; SRMSE 0. 68.kg, sesgo -0,01 kg y precisión 0,76 kg. Las ecuaciones validadas tienen adecuada capacidad predictiva. Pueden ser especialmente útiles en estudios epidemiológicos.