Tasa metabólica en reposo por calorimetría indirecta y ecuaciones de predicción en deportistas con amputación: Análisis de concordancia

La Tasa Metabólica en Reposo (TMR) suele calcularse utilizando ecuaciones de predicción por su fácil acceso y bajo costo. Sin embargo, estas ecuaciones no se encuentran validadas en población deportista con amputación. Objetivo: determinar la concordancia entre la medición de la TMR realizada por Calorimetría Indirecta (CI) y la calculada por ecuaciones de predicción en deportistas con amputación de miembros inferiores en Bogotá. Sujetos y métodos: Este estudio evaluó 16 deportistas adultos masculinos, con amputación de miembro inferior. La TMR se midió con CI y se calculó con las ecuaciones de predicción de Harris-Benedict, Cunningham, Mifflin -St. Jeor, Schofield y Oxford. Se utilizaron dos variables diferentes de masa corporal: masa corporal total (MCT) y masa magra (MM) determinada por Absorciometría de doble energía de rayos X (DEXA) y por el método antropométrico de fraccionamiento de masas en cinco componentes (5C). La concordancia se determinó a través del coeficiente de correlación intraclase (CCI) y se graficó mediante el método de Bland- Altman. Resultados y conclusión: La TMR determinada por la ecuación de Cunningham a partir de MM evaluada por DEXA, mostró la mejor concordancia con la CI (CCI= 0,709), seguida por Harris-Benedict con MCT (CCI= 0,697) y Cunningham con MM calculada por 5C (CCI= 0,693). La ecuación de Cunningham y Harris Benedict parecen ser las más adecuadas para calcular la TMR, sin embargo, se requieren más estudios con muestras mayores, lo cual permitirá obtener resultados más precisos.

Prediction equations for calculating resting metabolic rate (RMR) are widely used given their accessibility and low cost. However, they have not been yet validated in the amputee athlete population. Objective: to determine the concordance between the RMR measured by Indirect Calorimetry (IC) and that calculated by prediction equations in athletes with lower limb amputation in Bogota. Subjects and methods: sixteen adult male athletes with lower limb amputation were included. The RMR was measured with IC and calculated with the Harris-Benedict, Cunningham, Mifflin-St. Jeor, Schofield, and Oxford prediction equations. Three different body mass variables were used: total body mass (TBM) and lean body mass (LBM) determined by Dual Energy X-ray Absorptiometry (DEXA) and by the anthropometric method of mass fractionation into five components (5C). The agreement was determined by intraclass correlation coefficient (ICC) and plotted using the Bland-Altman method. Results and conclusions: RMR determined by the Cunningham equation from LBM assessed by DEXA showed the best agreement with CI (ICC= 0.709), followed by Harris-Benedict with MCT (ICC= 0.697) and Cunningham with LBM calculated by 5C (ICC= 0.693). The Cunningham and Harris-Benedict equation seems to be the most suitable for calculating RMR. However, more studies with larger samples are needed to obtain more accurate results.

A clinical cross-sectional study of resting energy expenditure in children with cerebral palsy / 中华实用儿科临床杂志

Objective:To investigate the characteristics of resting energy expenditure (REE) in children with cerebral palsy (CP) graded with different levels of Gross Motor Function Classification System (GMFCS), and to evaluate the accuracy and association of commonly used REE prediction formulas in children with CP.Methods:It was a retrospective study involving 36 children with CP aged 24-144 months who visited the Third Affiliated Hospital of Zhengzhou University between September 2021 and August 2022.REE was measured by the indirect calorimetry.Based on the GMFCS, children with CP were divided into grade Ⅰ-Ⅱ group (20 cases), grade Ⅲ group (6 cases) and grade Ⅳ-Ⅴ group(10 cases). During the same period, 11 age-matched healthy children were included in control group.The measured REE (MREE) between children with CP and healthy controls was compared.Predicted REE (PREE) calculated by the Harris-Benedict, WHO, Schofield-W, Schofield-WH and Oxford prediction formulas were compared with MREE in children for their consistency and correlation.Independent samples were analyzed using t-test or Mann- Whitney U test, and categorical data were analyzed using Chi- square test.Using paired t-test and Pearson linear correlation analysis to analyze the correlation between MREE and PREE.The accuracy of PREE values calculated by different formulas was assessed using the root mean square error. Results:The MREE in control group and children with CP were (952.18±270.56) kcal/d and (801.81±201.89) kcal/d, respectively.There was no significant difference in the MREE between grade Ⅰ-Ⅱ group versus control group[(868.30±194.81) kcal/d vs.(952.18±270.56) kcal/d, P>0.05], and grade Ⅲ group versus control group [(813.17±192.48) kcal/d vs.(952.18±270.56) kcal/d, P>0.05]. The MREE was significantly lower in grade Ⅳ-Ⅴ group than that of control group [666.00(513.50, 775.50) kcal/d vs.(952.18±270.56) kcal/d, P=0.011]. There were no significant difference between MREE and PREEs calculated by Harris-Benedict, WHO, Schofield-W, Schofield-WH, and Oxford (all P>0.05). The correct classification fraction calculated by the 5 formulas were 33.3%, 47.2%, 41.7%, 47.2%, and 41.7%, respectively.The r values of the consistency of PREE calculated by the 5 formulas were 0.585, 0.700, 0.703, 0.712, and 0.701, respectively.The Blande-Altman Limits of Agreement were (-297.77, 359.22), (-245.60, 326.94), (-250.62, 316.05), (-242.22, 177.36) and (-241.28, 325.81), respectively.The clinically acceptable range was -80.18 to 80.18 kcal/d.The root mean square error were 168.09 kcal/d, 149.64 kcal/d, 146.24 kcal/d, 144.23 kcal/d and 148.77 kcal/d, respectively. Conclusions:The MREE values decreased significantly in children with CP classified as CMFCS grade Ⅳ and Ⅴ.When REE cannot be regularly monitored by indirect calorimetry to develop nutritional support programs, children with CP may be prioritized to estimate REE using the prediction formula of Schofield-WH.

Efectos agudos del ejercicio aeróbico en estado de ayuno sobre el metabolismo y utilización de carbohidratos y grasas en adultos sedentarios con sobrepeso y obesidad: Un estudio piloto

RESUMEN Objetivo: Comparar los efectos agudos del ejercicio aeróbico en ayuno y postprandial sobre la utilización de carbohidratos y grasas de hombres sedentarios con sobrepeso y obesidad. Métodos: Diseño cuantitativo, experimental, randomizado, cruzado. Siete hombres adultos (37,9 ± 2,4 años), sedentarios, con sobrepeso u obesidad (índice de masa corporal= 29,3 ± 1,9 kg/m2). Todos realizaron 60 min de ejercicio aeróbico al 50% de potencia aeróbica máxima tanto en ayuno (FASTED) como postprandial (FED), iniciando aleatoriamente. En cada oportunidad se midieron la tasa de intercambio respiratorio (RER) mediante calorimetría indirecta basal, durante, y después del ejercicio; glicemia, cuerpos cetónicos, lactato capilares basales, pre-inicio, post inmediato, y 40 minutos post ejercicio. La utilización de carbohidratos y grasas fue estimada desde el RER según ecuaciones estequiométricas. Resultados: Durante el ejercicio no hubo diferencias significativas en utilización de sustratos entre FASTED y FED. Posterior al ejercicio sólo FASTED tuvo aumento (p<0,05) en oxidación de grasas relativo al peso corporal (Pre 0,010 ± 0,006 kJ/min/kg vs Post 0,020 ± 0,014 kJ/min/kg), oxidación de carbohidratos (Pre 0,060 ± 0,010 kJ/min/kg vs Post 0,070 ± 0,012 kJ/min/kg), y gasto energético total (Pre 0,070 ± 0,017 kJ/min/kg vs Post 0,090 ± 0,028 kJ/min/kg). No hubo diferencias en FED, ni entre FASTED y FED. Conclusión: El ejercicio aeróbico moderado en ayuno aumenta la oxidación de grasas y carbohidratos posterior a la sesión en hombres con sobrepeso y obesidad. Esto podría ser útil para su prescripción en pacientes sedentarios con exceso de peso.

ABSTRACT Purpose: To compare the acute effects of fasting and postprandial aerobic exercise on carbohydrate and fat utilization in sedentary overweight and obese men. Methods: Quantitative, experimental, randomized, crossover design. Seven sedentary, overweight or obese (body mass index [BMI]= 29.3 ± 1.9 kg/m2) adult men (37.9 ± 2.4 years) performed 60 min of aerobic exercise at 50% of maximal aerobic power both fasting (FASTED) and postprandial (FED). The first exercise type was randomly assigned. We measured the respiratory exchange ratio (RER) by basal indirect calorimetry during and after exercise; glycemia, ketone bodies and capillary lactate at baseline, pre-start, immediately and 40 minutes post exercise were measured in each exercise protocol. Oxidation of carbohydrates and fats was estimated from the RER according to stoichiometric equations. Results: During exercise there were no significant differences in the use of substrates between FASTED and FED. After exercise, only FASTED had an increase (p<0.05) in fat oxidation relative to body (Pre 0.010 ± 0.006 kJ/min/kg vs Post 0.020 ± 0.014 kJ/min/kg), carbohydrate oxidation (Pre 0.060 ± 0.010 kJ/min/kg vs Post 0.070 ± 0.012 kJ/min/kg), and total energy expenditure (Pre 0.070 ± 0.017 kJ/min/kg vs Post 0.090 ± 0.028 kJ/min/kg). There were no differences in FED, nor significant differences between FASTED and FED. Conclusion: Moderate aerobic fasting exercise increases post-session fat and carbohydrate oxidation in overweight and obese men. This could be useful for application in sedentary patients with excess weight.

Time to achieve steady state for an accurate assessment of resting energy expenditure in adolescents with healthy weight and obesity: A cross-sectional study

ABSTRACT Objective: The present study investigated the time needed to achieve a steady state for an accurate assessment of resting energy expenditure (REE) in adolescents with healthy weight and obesity. Materials and methods: Thirty adolescents aged 12-17 years were assigned to a group with healthy weight (GHW; n = 12, body mass index [BMI] 22.5 ± 3.6 kg/m2) and another group with obesity (GO; n = 18, BMI 34.1 ± 5.2 kg/m2). Participants underwent test-retest reliability of REE assessment as follows: a) 24 h of abstention from physical exercise, soft drinks, or caffeine; b) fasting for ~12 h; c) acclimation period of 10 min; d) 30-min assessment in a supine position. Results and discussion: A significant change occurred during the 30 min in REE. Significant differences existed between consecutive means until the 20th and 25th min for the GHW and GO, respectively. Although significant differences between trials 1 and 2 were detected during the first 5-10 min of assessment, the REE for each 5-min time point exhibited high test-retest reliability across trials in both groups (intraclass correlation coefficients range 0.79-0.99). Conclusion: The following recommendations are provided to promote accurate assessment of REE among adolescents: a) initiate the REE assessment with 10 min of acclimation to decrease restlessness; b) determine REE for a minimum of 20 min if healthy weight and 25 min if obesity; c) determine REE for a further 5 min, with the average of this last 5 min of REE data being regarded as the REE.

Avaliação do gasto energético de repouso em pacientes com doença hepática gordurosa não alcoólica / Evaluation of rest energy expenditure in patients with non alcoholic fatty liver disease

ABSTRACT BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is currently considered a global public health problem, with changes in lifestyle being the effective way to treat the disease. To date, there is no recommended standard of assessment to determine the resting energy expenditure (REE) of patients with NAFLD, so that dietary therapy can be properly guided. OBJECTIVE: To evaluate the REE of patients with NAFLD through indirect calorimetry and compare with different predictive formulas of REE and with REE by electrical bioimpedance analysis (BIA). Assess body composition through BIA, with NAFLD staging and the presence of comorbidities. METHODS: They were evaluated in patients with NAFLD over 18 years of age treated at the Gastroenterology outpatient clinic of a tertiary level hospital in southern Brazil. NAFLD staging was performed using liver biopsy or a non-invasive method. Weight, height and body mass index (BMI) were determined in all patients. The short version of the International Physical Activity Questionnaire was used to assess physical activity. Comorbidities as arterial hypertension, diabetes mellitus and dyslipidemia were evaluated. To estimate energy expenditure at rest, Harris-Benedict, Jeor Mifflin-St, World Health Organization and Schofield formulas were used. BIA was used to assess resting metabolic rate (RMR) and body mass, and to measure RMR, indirect calorimetry was also used. Associations between categorical variables were tested with Pearson's χ2 test and between groups with McNemar's test. The level of significance assumed was 5%. The degree of agreement between the REE measurement methods was assessed using the Blan-Altman test. RESULTS: A total of 67 patients were evaluated, 70.5% male, with a mean age of 59 years and a mean BMI of 33.08 kg/m2 ±5.13. The average RMR per CI was 1,753 kcal ±614.58. When comparing the RMR estimate by different formulas with indirect calorimetry, only the Jeor Mifflin-St formula showed a statistically significant difference (P=0.0001), with a difference of +318.49 kcal. BIA and Harris Benedict's formula presented values closer to CI, 1,658 and 1,845 kcal respectively. CONCLUSION: We suggest that the Jeor Mifflin-St formula should not be used to estimate the RMR in patients with NAFLD. In the absence of indirect calorimetry, some alternatives can be used safely in this population, such as BIA and the predictive formulas of Harris Benedict, Schofield and the World Health Organization.

RESUMO CONTEXTO: A doença hepática gordurosa não alcoólica (DHGNA) é considerada, atualmente, um problema de saúde pública global, sendo a mudança no estilo de vida a forma efetiva de tratar a doença. Até o momento não há um padrão de avaliação recomendado para determinar o gasto energético de repouso (GER) de pacientes com DHGNA, para que se possa nortear adequadamente a conduta dietoterápica. OBJETIVO: Avaliar o GER de pacientes com DHGNA através da calorimetria indireta (CI) e comparar com diferentes fórmulas preditivas do GER e com GER através da bioimpedância elétrica (BIA). Avaliar a composição corporal através da BIA, com o estadiamento da DHGNA e com a presença de comorbidades. MÉTODOS: Foram avaliados em pacientes com DHGNA maiores de 18 anos de idade atendidos no ambulatório de Gastroenterologia de um Hospital de nível terciário do Sul do Brasil. O estadiamento da DHGNA foi realizado através de biópsia hepática ou método não invasivo. Peso, altura e índice de massa corporal (IMC) foram determinados em todos os pacientes. Para avaliação da atividade física foi utilizada a versão curta do International Physical Activity Questionnaire. Foram avaliadas as comorbidades hipertensão arterial, diabetes mellitus e dislipidemia. Para a estimativa do gasto energético de repouso utilizou-se as fórmulas de Harris-Benedict, de Jeor Mifflin-St, da Organização Mundial de Saúde e de Schofield. A BIA foi utilizada para avaliação do GER e da massa corporal, e para aferição do GER também se utilizou a CI. Associações entre variáveis categóricas foram testadas com teste χ2 de Pearson e entre grupos com teste de McNemar. O nível de significância assumido foi de 5%. O grau de concordância entre os métodos de mensuração do GER foi aferido pelo teste de Blan-Altman. RESULTADOS: Foram avaliados 67 pacientes, sendo 70,5% do sexo masculino, com média de idade de 59 anos e média de IMC 33,08 kg/m2 ±5,13. O GER médio por CI foi de 1.753 kcal ±614,58. Ao comparar a estimativa do GER por diferentes fórmulas com a calorimetria indireta, apenas a fórmula de Jeor Mifflin-St apresentou diferença estatisticamente significativa (P=0,0001), com uma diferença de +318,49 kcal. A BIA e a fórmula de Harris Benedict apresentaram valores mais próximos à CI, 1.658 e 1.845 kcal respectivamente. CONCLUSÃO: Sugerimos que a fórmula de Jeor Mifflin-St não deva ser utilizada para estimativa do GER em pacientes com DHGNA. Na ausência da CI algumas alternativas podem ser utilizadas com segurança nesta população, como a BIA e as fórmulas preditivas de Harris Benedict, de Schofield e da Organização Mundial de Saúde.

Estado nutricional y gasto energético basal de pacientes chilenos con síndrome de down / Nutritional status and basal energy expenditure of chilean patients with down syndrome

Introducción: se ha reportado una alta prevalencia de malnutrición por exceso en pacientes con Síndrome de Down (SD), tanto en niños, como en adolescentes y adultos. Evaluar correctamente el gasto energético basal (GEB) en estos pacientes, es un aspecto crítico del control de peso, que ha sido escasamente explorado. Objetivo: evaluar el estado nutricional y el GEB mediante calorimetría indirecta y dos ecuaciones predictivas, en pacientes con SD de Concepción, Chile. Materiales y método: estudio descriptivo y transversal en 6 pacientes con SD: 2 niños y 4 mujeres adultas. Se midieron el peso y la talla y se calcularon el índice peso/edad (niños) y el índice de masa corporal (adultos). La determinación del GEB, se realizó mediante calorimetría indirecta y utilizando dos ecuaciones predictivas: Harris & Benedict y FAO/OMS (1985). Los resultados se expresaron como medianas y rangos, y la comparación de los valores del GEB, se realizó a través de la prueba de Wilcoxon (α= 0,05). Resultados: se encontró que el 50% de los pacientes presentó sobrepeso. No se encontraron diferencias estadísticamente significativas entre el GEB calculado por las ecuaciones predictivas, y el obtenido por calorimetría indirecta. Conclusión: en el grupo de pacientes con SD evaluados, se podría estimar la GEB a través de las ecuaciones predictivas (Harris & Benedict y FAO/OMS, 1985), dada su concordancia con los valores obtenidos por calorimetría indirecta, lo que puede ser muy útil en la práctica clínica, permitiendo la elaboración de planes de alimentación adecuados para estos pacientes(AU)

Introduction: a high prevalence of malnutrition due to overweight and obesity has been reported in patients with Down Syndrome (DS), in children, adolescents and adults. A correct evaluation of the basal energy expenditure (BEE) in these patients is a critical aspect of weight control; however, this aspect has not been thoroughly studied. Objective: to evaluate the nutritional status and BEE using indirect calorimetry and two predictive equations in patients with DS from Concepción, Chile. Materials and methods: a descriptive and cross-sectional study was carried out in 6 patients with DS: 2 boys and 4 adult women. Weight and height were measured, and the weight/age index (children) and the body mass index (adults) were calculated. The determination of the BEE was carried out by indirect calorimetry and using two predictive equations: Harris & Benedict and FAO/WHO (1985). The results were expressed as means, standard deviations, medians and ranges, and the comparison of the BEE values was performed using the Wilcoxon test (α = 0.05). Results: 50% of the patients were overweight. No statistically significant differences were found between the BEE calculated by the predictive equations, and that obtained by indirect calorimetry. Conclusion: In the group of patients with DS evaluated, BEE could be estimated through the predictive equations (Harris & Benedict and FAO/ WHO, 1985), given its agreement with the values obtained by indirect calorimetry, which can be very useful in clinical practice, allowing the elaboration of adequate feeding plans for these patients(AU)

Comparison of indirect calorimetry and formula estimation of total daily energy expenditure in patients with acute pancreatitis / 中华肝胆外科杂志

Objective:To investigate the consistency of indirect calorimetry, Harris-Benedict (H-B) formula method and rule of thumb in calculating the daily total energy expenditure (TDEE) of patients with acute pancreatitis (AP), and provide the basis for the formulation of reasonable nutritional support program.Methods:A total of 66 AP patients admitted to Henan Provincial People's Hospital from June 2020 to December 2020 were included and retrospectively analyzed, including 35 males and 31 females with an average age of 41.8 years. They were divided into mild acute pancreatitis (MAP) group ( n=20) and moderate to severe AP group ( n=46) according to severity. TDEE was calculated by indirect calorimetry, H-B formula and rule of thumb, and Pearson correlation analysis and Bland-Altman diagram were used to analyze the correlation and consistency of the three methods, respectively. Results:There were no statistical significances in the TDEE of MAP group calculated by indirect calorimetry, H-B formula method and rule of thumb (both P>0.05). TDEE calculated by indirect calorimetry were higher than that of calculated by H-B formula and thumb method both in moderate and severe AP groups, and the difference was statistically significant (both P<0.05). Pearson correlation analysis showed that H-B formula method was positively correlated with the TDEE calculated by indirect calorimetry, and the correlation was 0.61 ( P<0.05). Bland-Altman plot analysis showed the consistence of the two methods. TDEE calculated by rule of thumb was positively correlated with that calculated by indirect calorimetry, and the correlation was 0.75 ( P<0.05). The bland-Altman plot analysis showed a good consistency between the two methods. Conclusion:For MAP patients, TDEE can be calculated by the H-B formula method and rule of thumb. In moderate and severe AP patients, TDEE should be calculated by indirect calorimetry as the basis for the formulation of nutritional support plan.

Agreement between equations-estimated resting metabolic rate and indirect calorimetry-estimated resting metabolic rate in low-income obese women

ABSTRACT Objectives Indirect calorimetry is established as a gold standard to determine the resting metabolic rate (RMR), however, its clinical use is limited, especially in low-income settings. Thus, the use of predictive equations appear as an alternative to estimate the RMR, but its precision is debatable, especially in obese individuals and in populations without specifically developed equations. To evaluate the agreement between the RMR estimated by equations and by indirect calorimetry in low-income obese women. Subjects and methods A cross-sectional study with adult and obese women, which estimated the RMR by indirect calorimetry and compared with 13 predictive equations using the concordance correlation coefficient, root mean square error (RMSE) and Bland-Altman methods. The maximum allowed differences were predefined as 10%. Results No equation presented its confidence intervals for the Bland-Altman limits of agreement inside the predefined acceptable range. The Harris-Benedict equation achieved better agreement (bias of 2.9% and RMSE of 274.3kcal) whereas the Henry-Rees equation achieved better precision (42.3% of the sample within the 10% maximum allowed difference). Conclusion None of the studied equations satisfactorily estimated the RMR estimated by indirect calorimetry. In the absence of specific equations for this population, the use of the Harris-Benedict and Henry-Rees equations could be considered.

A correlation of per day calorie intake with resting energy expenditure in healthy young adults

Background: The energy requirement of an individual can be defined as the level of energy intake from food that will balance the energy expenditure. Dietary intakes lower or higher than the body requirements can lead to undernutrition (deficiency diseases) or overnutrition (diseases of affluence), respectively. Per day calorie intake influences various daily energy utilizing activities. The imbalance between intake and expenditure continues over long periods, changes in body weight or body composition will occur and may adversely affect health. The resting energy expenditure (REE), the largest portion (50–75%) of total energy expenditure, is the energy required to maintain the basic metabolic activities including maintaining the body temperature and keeping the functioning of vital organs such as brain, kidneys, heart, and lungs. Hence, REE plays the most important role in body functioning. Objective: The aim and objective of the present study were to access the effect of per day calorie intake on REE. Materials and Methods: One hundred subjects (age 18–25 years) were assessed for data collection. All the data were collected in the early morning hours. The study was approved by the Institutional Ethical Committee (EC/P-47/2018) of Rajasthan University of Health Sciences College of Medical Sciences, Jaipur. Demographic data including the anthropometric measurement of the participants such as weight, height, and body mass index (BMI). Calories intake (kcal) in 24 h was measured using food frequency questionnaire. Moreover, REE was measured using the gold standard method indirect calorimetry. Pearson correlation was calculated to seen correlation between per day calorie intake and REE. Results: A total of 75 males and 25 females with mean age of males and females were 19.97 ± 1.81 years and 19.32 ± 1.75 years, respectively. The mean BMI was 21.77 ± 4 kg/m² of males and 22.68 kg/m² of females. The mean calorie intake was 2532.082 ± 830.970 kcal in males and 1991.176 ± 783.291 kcal in females. The mean REE of male subjects was 2081.470 ± 587.661 kcal and of females was 1827.895 ± 469.671 kcal. The present study results showed the positive poor correlation (r = +0.1572) between calorie intake and REE in male subjects and negative poor correlation (r = −0.1484) in female subjects. Conclusion: The present study results concluded that there was a poor association between per day calorie intake and REE. Moreover, on the basis of the present study results, we can also say that most of our energy intake was expended to maintain body functioning at rest.

Validation of the Novel Basal Metabolic Rate Prediction Equation Among Adult Overweight and Obese Filipino Patients

@#BACKGROUND: Various methods and equations are available to predict the basal metabolic rate (BMR). A published study comparing the Harris-Benedict Equation, Bioelectrical Impedance Analysis, and Indirect Calorimetry (IC), was done among Filipinos, and was able to obtain a novel formula for BMR. The purpose of this study is to validate this novel formula. METHODS: This is a multi-center, cross-sectional, validation study of the novel BMR equation, done among adult overweight and obese Filipinos, who were seen at St. Luke’s Medical Center and Providence Hospital in Quezon City, Outpatient Clinics from August 2019 to March 2020. Purposive sampling was done, and upon giving consent, subjects had undergone interview, anthropometrics measurement, and IC. RESULTS: 174 samples were enrolled. Mean age is 43 years old, majority are females. 27% have no co-morbidities; of those with co-morbidities, half have diabetes mellitus (DM). Mean weight is 74.30 kg; mean BMI is 29.78 kg/m2 . The mean computed BMR is 1174.70 kcal/day, which is 145.83 significantly lower than the BMR derived with calorimetry: 1320.53 kcal/day (P-value 0.000). However, the scatterplot reveals the linearity of positive direction for both values. 31% of the computed BMR fell within the +/-10% estimate of the actual BMR. Stratification of the results between those with DM and without, lowered the difference between the calculated and actual BMR to 46 kcal/day (from 145.83) among the DM subgroup, and increased the estimated accuracy to 38% falling within the +/- 10% estimate of the actual values. CONCLUSION: The novel BMR formula is linearly reflective of the basal metabolism of adult overweight and obese Filipinos, but the numerical values are lower compared to actual calorimetry results, yielding more accuracy when applied among patients with diabetes.

Basal Energy Expenditure of Chinese Healthy Adults: Comparison of Measured and Predicted Values / 生物医学与环境科学（英文）

Objective@#This study aimed to measure the basal energy expenditure (BEE) of Chinese healthy adults and establish an accurate predictive equation for this population.@*Methods@#In total, 470 Chinese healthy adults had their BEE measured using the Cosmed K4b portable metabolic system. Multiple linear regression analysis was applied to develop new optimal equations for predicting BEE. The bias, accuracy rate, concordance correlation coefficient (CCC), and root mean square error (RMSE) were used to evaluate the accuracy of the predictive equations.@*Results@#There was a significant difference in BEE between males and females, with 5,954 kJ/d and 5,089 kJ/d, respectively. People living in rural areas expended significantly higher BEE (5,885 kJ/d) than those in urban areas (5,279 kJ/d). Previous equations developed by Henry, Schofield, Harris-Benedict (H-B), and Liu overestimated the BEE of Chinese healthy adults. The new equations derived from the present study displayed the smallest average bias and RMSE from the measured basal energy expenditure (mBEE). The CCC of the new equations was higher than other predictive equations, but it was lower than 0.8. There was no significant difference in the accuracy rate among all predictive equations.@*Conclusions@#Sex and regional differences in BEE were observed in Chinese healthy adults. Neither the widely used previous predictive equations nor the one derived in the present study were accurate enough for estimating the BEE of Chinese healthy adults. Further study is required to develop more accurate equations for predicting the BEE of Chinese healthy adults aged between 20-45 years.

Basal metabolic rate in Brazilian patients with type 2 diabetes: comparison between measured and estimated values

ABSTRACT Objectives: The aims of this study are to investigate which of the seven selected predictive equation for estimating basal metabolic rate (BMR) is the best alternative to indirect calorimetry (IC) and to evaluate the dietary energy intake in patients with type 2 diabetes. Subjects and methods: Twenty-one patients with type 2 diabetes participated in this diagnostic test study. Clinical and laboratorial variables were evaluated as well as body composition by absorptiometry dual X-ray emission (DXA) and BMR measured by IC and estimated by prediction equations. Dietary intake was evaluated by a quantitative food frequency questionnaire. Data were analyzed using Bland-Altman plots, paired t-tests, and Pearson's correlation coefficients. Results: Patients were 62 (48-70) years old, have had diabetes for 8 (2-36) yeas, and 52.4% were females. The mean body composition comprised a fat-free mass of 49.8 ± 9.4 kg and a fat mass of 28.3 ± 7.2 kg. The energy intake was 2134.3 ± 730.2 kcal/day and the BMR by IC was 1745 ± 315 kcal/day. There was a wide variation in the accuracy of BMR values predicted by equations when compared to IC BMR measurement. Harris-Benedict, Oxford, FAO/WHO/UNO equations produced the smallest differences to IC, with a general bias of < 8%. The FAO/WHO/UNO equation provided the best BMR prediction in comparison to measured BMR. Conclusion: In patients with type 2 diabetes, the equation of the FAO/WHO/UNO was the one closest to the BMR values as measured by IC.

Consistency of indirect calorimetry and HB coefficient method for measuring energy expenditure of patients with sepsis / 中华临床营养杂志

Objective@#To evaluate the difference and correlation of 24 h energy expenditure in patients with sepsis by indirect calorimetry (IC) and HB coefficient equation.@*Methods@#A prospective comparative study including 60 patients with sepsis who was suitable for nutritional support and respiratory indirect calorimetry in the intensive care unit (ICU) from January to October 2015 was conducted. Resting energy expenditure (REE) was measured simultaneously by respiratory indirect calorimetry and HB coefficient (Harris-Benedict formula×stress coefficient) in 60 patients with sepsis at 0 day, 3 day, 7 day, and 14 day after nutritional support, and the differences in dynamic REE were compared between the two methods. The consistency of REE by indirect calorimetry (IC) and HB coefficient equation was evaluated by Bland-Altman. The correlation of IC and HB methods was determined by Pearson analysis. The linear regression equation was determined by linear regression analysis.@*Results@#Within 2 weeks after nutritional support, 188 times of measures by IC method and HB method respectively were finished in all patients with sepsis. The dynamic REE in respiratory indirect calorimetry group was significantly higher than that in HB coefficient method group (P<0.05). The average bias of REE between the IC method and the HB method was (1 930.9±597.7)kJ/24 h. For the consistency boundaries was over large and beyond the scope of clinical acceptance, there was a bias between the two methods and they could not directly substituted. There was a linear correlation of REE between the IC method and the HB coefficient (r=0.757, P=0.000). The equation associated with the HB coefficient method is fitted using a one-way regression: Y=1.17X+ 834.11 (kJ/24 h), and X was the 24 h energy expenditure measured by the HB coefficient method.@*Conclusion@#The energy metabolism of patients with sepsis is not obvious in the first 2 weeks. The HB coefficient method significantly underestimates the 24 h energy expenditure of patients with sepsis. The prediction equation can be used to correct the HB coefficient method and improve the HB coefficient method to predict the energy expenditure of patients with sepsis.

Changing laws of rest energy expenditure in critically ill patients and the intervention effect for nutritional support: a prospective study / 中华危重病急救医学

Objective@#To investigate the changing laws of rest energy expenditure (REE) in intensive care unit (ICU) patients and the intervention effect for nutritional support.@*Methods@#A prospective randomized control trial was conducted. Fifty-eight critically ill patients who were expected to be able to receive sustained enteral and (or) parenteral nutrition for more than 7 days admitted to ICU of the First Affiliated Hospital of Bengbu Medical College from December 2016 to June 2017 were enrolled. The patients were divided into REE group (n = 29) and HBREE group (n = 29) according to the random number table. On the 1st to 7th day after ICU admission, the indirect calorimetry and the Harris-Benedict (HB) formula were used to obtain the REE and HBREE values, and nutritional support was given according to REE and HBREE values respectively. The data of hemoglobin (Hb), albumin (Alb), prealbumin (PA), C-reactive protein (CRP), oxygenation index (OI) on 1st, 3rd, 5th, 7th and discharged day, and insulin dosage, vasopressor time, mechanical ventilation time, the length of ICU stay, and 28-day mortality were collected.@*Results@#① At the beginning, the REE level was high, and then decreased gradually with the extension of hospitalization, and the decline was obvious on the 2nd to 3rd day (kJ/d: 7 088.38±559.41, 6 751.34±558.72 vs. 7 553.44±645.55, both P < 0.05), and was stable from the 5th day, the changing laws showed high at first, then the low, the first rapid decline, then the slow decline, and then reached the steady, there was a 2-day plateau in the middle. During the first 2 days, the REE value was significantly higher than the HBREE value (kJ/d: 7 553.44±645.55 vs. 6759.21±668.14, 7 088.38±559.41 vs. 6 759.21±668.14, both P < 0.01); on the 3rd, 4th day, the REE value was almost the same as the HBREE value (kJ/d: 6 751.34±558.72 vs. 6 759.21±668.14, 6 568.03±760.19 vs. 6 759.21±668.14, both P > 0.05). After that, the REE value was significantly lower than the HBREE value (kJ/d: 6 089.55±560.70 vs. 6 759.21±668.14, 5 992.55±501.82 vs. 6 759.21±668.14, 5 860.84±577.59 vs. 6 759.21±668.14, all P < 0.01). ② After the initiation of nutritional support, Hb in the REE group (the first 3 days) and HBREE group (the first 7 days) all increased slowly in the early stage. It increased obviously on the 5th day in the REE group. Compared with the REE group, Hb increased more slowly in the HBREE group, however, there was no difference between the two groups at the time of discharge (g/L: 113.75±17.28 vs. 110.86±15.35, P > 0.05). PA and OI all enhanced significantly on the 3rd day since the nutritional support was initiated, but the daily increase of the REE group was significantly higher than that of the HBREE group [3rd day, PA (mg/L): 110.38±27.65 vs. 96.28±18.06, OI (mmHg, 1 mmHg = 0.133 kPa): 259.29±49.36 vs. 231.74±28.02, both P < 0.05]. The Alb and CRP in the REE group began to improve on the 3rd day, while the index in the HBREE group was delayed on the 5th day, overall, at the time of discharge, the PA, CRP and OI were lower in the HBREE group than in the REE group [PA (mg/L): 252.28±56.94 vs. 295.86±57.26, CRP (mg/L): 73.14±17.63 vs. 56.52±14.91, OI (mmHg): 353.59±70.36 vs. 417.52±71.58, all P < 0.01]. ③ The vasopressor was used in both groups for less than 3 days, but the REE group was shorter (days: 2.26±0.82 vs. 2.95±1.22, P < 0.05), the insulin dosage in the HBREE group was much more than that in the REE group (U: 101.97±21.05 vs. 84.59±22.21, P < 0.01); compared with the REE group, the time of mechanical ventilation and the length of ICU stay in the HBREE group were longer (hours: 113.07±25.96 vs. 93.41±27.25, days: 10.41±3.11 vs. 8.45±2.44, both P < 0.01). There was no significant difference in the 28-day mortality between the REE group and HBREE group (17.24% vs. 24.14%, P > 0.05).@*Conclusions@#Indirect calorimetry can more accurately grasp the changing laws of REE in critically ill patients. Nutritional support with REE value can make relevant nutritional indicators as good as possible, and reduce insulin dosage, shorten vasopressor use time, the length of ICU stay and mechanical ventilation time, but does not change the 28-day mortality.

A comparative study of the respiratory indirect calorimetry and HB coefficient method for the guidance of the target energy in patients with sepsis / 中华临床营养杂志

Objective To explore the effects of nutritional supports following target energy measured by respiratory indirect calorimetry and HB coefficient method respectively on the nutrition and immune indexes of patients with sepsis. Methods A prospective comparative study of 60 patients with sepsis who was suitable for nutritional support and respiratory indirect calorimetry in the intensive care unit ( ICU) of the hospital from Jan-uary 2015 to October 2015 was conducted. Resting Energy Expenditure ( REE) was measured simultaneously by respiratory indirect calorimetry (n=30) and HB coefficient (Harris-Benedict formula×stress coefficient, n=30) in patients with sepsis and the nutritional support was given according to the MREE measured by the two methods. The nutritional and immune indexes were obtained at 0 day, 3 day, 7 day, and 14 day after nutritional support. The nutritional and immune indexes at 0 day were considered as the baseline and the differences in the nutritional and immune indexes between the baseline and 3 day, 7 day and 14 day were expressed as a "Δ". Values of Δ were compared between the two goups. Results With nutritional support for 3 days, Δalbumin,Δ prealbumin, Δthe total T lymphocytes, Δassist/induction of T cells and ΔIgG were higher in the respiratory indirect calorimetry group than in the HB coefficient group ( P<0. 05) . With nutritional support for 7 days, Δalbumin, ΔT lymphocytes, ΔIgM were higher in the respiratory indirect calorimetry group than in the HB coefficient group ( P<0. 05) . With nutritional support for 14 days, Δtransferrin, Δsuppression/cyto-toxic T cells, ΔIgG, ΔIgA, ΔC3 andΔC4 were higher in the respiratory indirect calorimetry group than in the HB coefficient group ( P<0. 05) . Conclusion Nutritional support with REE measured by respiratory in-direct calorimetry in patients with sepsis is more effective on nutritional and immune related indexes improve-ment have different degrees of improvement, thus respiratory indirect calorimetry is more suitable to guide the target energy of sepsis patients.

Changing laws of rest energy expenditure in critically ill patients and the intervention effect for nutritional support: a prospective study / 中华危重病急救医学

Objective To investigate the changing laws of rest energy expenditure (REE) in intensive care unit (ICU) patients and the intervention effect for nutritional support. Methods A prospective randomized control trial was conducted. Fifty-eight critically ill patients who were expected to be able to receive sustained enteral and (or) parenteral nutrition for more than 7 days admitted to ICU of the First Affiliated Hospital of Bengbu Medical College from December 2016 to June 2017 were enrolled. The patients were divided into REE group (n = 29) and HBREE group (n = 29) according to the random number table. On the 1st to 7th day after ICU admission, the indirect calorimetry and the Harris-Benedict (HB) formula were used to obtain the REE and HBREE values, and nutritional support was given according to REE and HBREE values respectively. The data of hemoglobin (Hb), albumin (Alb), prealbumin (PA), C-reactive protein (CRP), oxygenation index (OI) on 1st, 3rd, 5th, 7th and discharged day, and insulin dosage, vasopressor time, mechanical ventilation time, the length of ICU stay, and 28-day mortality were collected. Results ① At the beginning, the REE level was high, and then decreased gradually with the extension of hospitalization, and the decline was obvious on the 2nd to 3rd day (kJ/d: 7088.38±559.41, 6751.34±558.72 vs. 7553.44±645.55, both P < 0.05), and was stable from the 5th day, the changing laws showed high at first, then the low, the first rapid decline, then the slow decline, and then reached the steady, there was a 2-day plateau in the middle. During the first 2 days, the REE value was significantly higher than the HBREE value (kJ/d: 7553.44±645.55 vs. 6759.21±668.14, 7088.38± 559.41 vs. 6759.21±668.14, both P < 0.01); on the 3rd, 4th day, the REE value was almost the same as the HBREE value (kJ/d: 6751.34±558.72 vs. 6759.21±668.14, 6568.03±760.19 vs. 6759.21±668.14, both P > 0.05). After that, the REE value was significantly lower than the HBREE value (kJ/d: 6089.55±560.70 vs. 6759.21±668.14, 5992.55±501.82 vs. 6759.21±668.14, 5860.84±577.59 vs. 6759.21±668.14, all P < 0.01). ② After the initiation of nutritional support, Hb in the REE group (the first 3 days) and HBREE group (the first 7 days) all increased slowly in the early stage. It increased obviously on the 5th day in the REE group. Compared with the REE group, Hb increased more slowly in the HBREE group, however, there was no difference between the two groups at the time of discharge (g/L: 113.75±17.28 vs. 110.86±15.35, P > 0.05). PA and OI all enhanced significantly on the 3rd day since the nutritional support was initiated, but the daily increase of the REE group was significantly higher than that of the HBREE group [3rd day, PA (mg/L): 110.38±27.65 vs. 96.28±18.06, OI (mmHg, 1 mmHg = 0.133 kPa): 259.29±49.36 vs. 231.74±28.02, both P < 0.05]. The Alb and CRP in the REE group began to improve on the 3rd day, while the index in the HBREE group was delayed on the 5th day, overall, at the time of discharge, the PA, CRP and OI were lower in the HBREE group than in the REE group [PA (mg/L): 252.28±56.94 vs. 295.86±57.26, CRP (mg/L): 73.14±17.63 vs. 56.52±14.91, OI (mmHg): 353.59±70.36 vs. 417.52±71.58, all P < 0.01]. ③ The vasopressor was used in both groups for less than 3 days, but the REE group was shorter (days: 2.26±0.82 vs. 2.95±1.22, P < 0.05), the insulin dosage in the HBREE group was much more than that in the REE group (U: 101.97±21.05 vs. 84.59±22.21, P <0.01); compared with the REE group, the time of mechanical ventilation and the length of ICU stay in the HBREE group were longer (hours: 113.07±25.96 vs. 93.41±27.25, days: 10.41±3.11 vs. 8.45±2.44, both P < 0.01). There was no significant difference in the 28-day mortality between the REE group and HBREE group (17.24％ vs. 24.14％, P >0.05). Conclusions Indirect calorimetry can more accurately grasp the changing laws of REE in critically ill patients. Nutritional support with REE value can make relevant nutritional indicators as good as possible, and reduce insulin dosage, shorten vasopressor use time, the length of ICU stay and mechanical ventilation time, but does not change the 28-day mortality.

Consistency of indirect calorimetry and HB coefficient method for measuring energy expenditure of pa-tients with sepsis / 中华临床营养杂志

Objective To evaluate the difference and correlation of 24 h energy expenditure in patients with sepsis by indirect calorimetry (IC) and HB coefficient equation. Methods A prospective comparative study including 60 patients with sepsis who was suitable for nutritional support and respiratory indirect calorimetry in the intensive care unit (ICU) from January to October 2015 was conducted. Resting energy expenditure (REE) was measured simultaneously by respiratory indirect calorimetry and HB coefficient (Harris-Benedict formula×stress coefficient) in 60 patients with sepsis at 0 day, 3 day, 7 day, and 14 day after nutritional support, and the differences in dynamic REE were compared between the two methods. The consistency of REE by indirect calorimetry (IC) and HB coefficient equation was evaluated by Bland-Altman. The correlation of IC and HB methods was determined by Pearson analysis. The linear regression equation was determined by linear regression analysis. Results Within 2 weeks after nutritional support, 188 times of measures by IC method and HB method respectively were finished in all patients with sepsis. The dynamic REE in respiratory indirect calorimetry group was significantly higher than that in HB coefficient method group (P<0. 05). The average bias of REE between the IC method and the HB method was (1930. 9±597. 7) kJ/24 h. For the consistency boundaries was over large and beyond the scope of clinical acceptance, there was a bias between the two methods and they could not directly substituted. There was a linear correlation of REE between the IC method and the HB coefficient (r =0. 757, P =0. 000). The equation associated with the HB coefficient method is fitted using a oneway regression: Y=1. 17X+ 834. 11 (kJ/24 h), and X was the 24 h energy expenditure measured by the HB coefficient method. Conclusion The energy metabolism of patients with sepsis is not obvious in the first 2 weeks. The HB coefficient method significantly underestimates the 24 h energy expenditure of patients with sepsis. The prediction equation can be used to correct the HB coefficient method and improve the HB coefficient method to predict the energy expenditure of patients with sepsis.

Effect of a respiratory muscle training program on lung function, respiratory muscle strength and resting oxygen consumption in sedentary young people / Efecto de un programa de entrenamiento muscular respiratorio en la función pulmonar, la fuerza muscular respiratoria y el consumo de oxígeno en reposo en personas jóvenes sedentarias

Abstract Introduction: Physical inactivity is a risk factor for developing noncommnunicable diseases, as well as respiratory and cardiovascular disorders. To counter this, different types of interventions have been proposed, including respiratory muscle training (RMT). Objective: To determine the effect of a respiratory muscle training program on respiratory muscle strength, lung function and resting oxygen consumption in sedentary subjects. Materials and methods: Pretest-posttest experimental study conducted in sedentary students. Lifestyle and the level of physical activity was determined using the International Physical Activity Questionnaire (IPAQ) and the FANTASTIC questionnaire, while respiratory muscle strength was established by means of expiratory and inspiratory pressure using a Dwyer Series 477 meter, and lung function and oxygen consumption was determined by spirometry and indirect calorimetry whit Vmax Encore 29C® calorimeter. Respiratory muscle training was performed for eight weeks with Threshold IMT system. R software, version 3.1.2, was used for statistical analysis. Results: Clinically and statistically significant improvements were found in maximal inspiratory pressure (MIP) (pre: 81.23±22.00/post: 96.44±24.54 cmH2O; p<0.001); maximal expiratory pressure (MEP) (pre: 94.84±21.63/post: 107.39±29.15 cmH2O; p<0.05); pulmonary function FEV1 [(pre: 3.33±0.88/post: 3.54±0.90L) (p<0.05)]; and FEV1/FVC ratio [(pre: 87.78±7.67/post: 93.20±6.02% (p<0.01)]. Conclusion: The respiratory muscle training protocol implemented for eight weeks using the Threshold IMT system improved strength and FEV1. There were no significant changes in oxygen consumption.

Resumen Introducción. El sedentarismo es un factor de riesgo para desarrollar enfermedades crónicas y generar alteraciones respiratorias y cardiovasculares. Para contrarrestar esto, se han planteado modalidades de intervención como el entrenamiento muscular respiratorio (EMR). Objetivo. Determinar el efecto de un programa de EMR sobre fuerza muscular respiratoria, función pulmonar y consumo de oxígeno en reposo de sujetos sedentarios. Materiales y métodos. Estudio experimental pre y post-intervención con estudiantes sedentarios. El nivel de actividad física y estilo de vida se determinó con el International Physical Activity Questionnaire y el cuestionario Fantástico, la fuerza muscular respiratoria por medio de presión inspiratoria y espiratoria máxima con medidor Dwyer Series 477 y la función pulmonar y el consumo de oxígeno mediante espirometría y calorimetría indirecta, con calorímetro Vmax Encore 29C®. Se realizó EMR durante ocho semanas con sistema Threshold IMT. El análisis estadístico se hizo con el software R versión 3.1.2. Resultados. Se encontraron cambios clínicos y estadísticamente significativos en presión inspiratoria máxima (pre: 81.23±22.00/post: 96.44±24.54 cmH2O; p<0.001); presión espiratoria máxima (pre: 94.84±21.63/post: 107.39±29.15 cmH2O; p<0.05), función pulmonar VEF1 (pre: 3.33±0.88/post: 3.54±0.90 litros (p<0.05), y relación VEF1/CVF (pre: 87.78±7.67/post: 93.20±6.02% (p<0.01). Conclusión. El protocolo de EMR de ocho semanas con sistema Threshold IMT mejoró los parámetros de fuerza y VEF1, sin cambios significativos en el consumo de oxígeno.

Validity of predictive equations for resting energy expenditure in Korean non-obese adults

BACKGROUND/OBJECTIVES: Indirect calorimetry is the gold-standard method for the measurement of resting energy expenditure. However, this method is time consuming, expensive, and requires highly trained personnel. To overcome these limitations, various predictive equations have been developed. The objective of this study was to assess the validity of predictive equations for resting energy expenditure (REE) in Korean non-obese adults. SUBJECTS/METHODS: The present study involved 109 participants (54 men and 55 women) aged between 20 and 64 years. The REE was measured by indirect calorimetry. Nineteen REE equations were evaluated for validity, by comparing predicted and measured REE results. Predictive equation accuracy was assessed by determining percent bias, root mean squared prediction error (RMSE), and percentage of accurate predictions. RESULTS: The measured REE was significantly higher in men than in women (P 0.05). The equation developed in this study had an accuracy rate of 71%, a bias of 0%, and an RMSE of 155 kcal/day. Among published equations, the FAO(weight) equation gave the highest accuracy rate (70%), along with a bias of −4.4% and an RMSE of 184 kcal/day. CONCLUSIONS: The newly developed equation provided the best accuracy in predicting REE for Korean non-obese adults. Among the previously published equations, the FAO(weight) equation showed the highest overall accuracy. Regardless, at an individual level, the equations could lead to inaccuracies in a considerable number of subjects.

Comparison of 3 Nutritional Questionnaires to Determine Energy Intake Accuracy in Iranian Adults

A precision instrument is required to assess the nutritional status. This study was conducted on comparison of 3 nutritional questionnaires to determine energy intake (EI) accuracy in adults in Ravansar Non-Communicable Chronic Disease (RaNCD) cohort study. This cross-sectional study was conducted on 118 of participant's RaNCD. EI was evaluated with 3 questionnaires including food frequency questionnaire (FFQ), 24-hours recall (24HR), and food habits questionnaire (FHQ). Resting metabolic rate (RMR) was measured using indirect calorimetry. We used EI/RMR cut off to evaluate EI reporting status. The mean ± standard deviation of age in men and women were 44.1 ± 6.5 and 43.7 ± 5.25 respectively and 50.8% of participants were men. Among 3 EI estimating questionnaires, FFQ was more accurate than 2 other questionnaires (67.8%). We observed that implausible reporters of 24HR were likely overweight (p < 0.005) but we did not observe a significant difference between EI reporting of FFQ and FHQ with participants' body composition. Our finding showed that EI underreporting of 24HR and FHQ were high. Under reporters were seemed to be overweight. Therefore, these results suggested that among 3 nutritional questionnaires the FFQ was an appropriate approach to determine EI in this population due to plausible EI reporting was higher than 2 other nutritional questionnaires (24HR and FHQ).