Comparison of Calculated and Measured Caloric Requirements in Critically Ill Cancer Patients.

Pirat, Araş; Tucker, Anne M.; Taylor, Kim; Jinnah, Rashida; Desbon, A; Nates, Joseph L.

doi:10.1097/00003246-200512002-00345

Cited by 20 publications

(31 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…When the estimated values were outside this range, they were considered to be inaccurate. (6) HB equationderived values that were <90% of the values that were measured using IC were classified as caloric restriction, and values that were >110% of the IC values were classified as hyperalimentation.…”

Section: Discussionmentioning

confidence: 99%

“…Kross et al (20) observed an inaccuracy rate of 68.7% (inadequate nutrition) when using the HB equation in 927 critically ill patients. Pirat et al (6) reported that this equation resulted in a 58% rate of inadequate nutrition (29% for both caloric restriction and hyperalimentation) in 34 critically ill patients with cancer. Boullata et al (22) observed a 57% rate of ineffective predictions in 395 patients.…”

Section: Discussionmentioning

confidence: 99%

“…Many of these patients lose weight during the hospitalization, and such phenomena have multifactorial origins (e.g., the severity of the illness and the lack of adequate nutritional support). This problem is even more prominent in critically ill patients given that they are in a state of clinical hypermetabolism and hypercatabolism, (5,6) exhibit hemodynamic instability and, occasionally, lack an available enteral route. These states ultimately prevent early nutritional support.…”

Section: Introductionmentioning

confidence: 99%

“…(8) Over 200 equations have been documented for predicting EE, (17) although the most widely examined and used in clinical practice (18) is the Harris-Benedict (HB) equation. (19) However, these predictive methods are often considered to be inaccurate, (6,(20)(21)(22) and thus no method has gained universal acceptance.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Necessidades nutricionais do doente crítico

Costa¹,

Marinho²,

Cançado³

2012

Rev. bras. ter. intensiva

View full text Add to dashboard Cite

Objective: Given the inaccessibility of indirect calorimetry, intensive care units generally use predictive equations or recommendations that are established by international societies to determine energy expenditure. The aim of the present study was to compare the energy expenditure of critically ill patients, as determined using indirect calorimetry, to the values obtained using the Harris-Benedict equation.Methods: A retrospective observational study was conducted at the Intensive Care Unit 1 of the Centro Hospitalar do Porto. The energy requirements of hospitalized critically ill patients as determined using indirect calorimetry were assessed between January 2003 and April 2012. The accuracy (± 10% difference between the measured and estimated values), the mean differences and the limits of agreement were determined for the studied equations.Results: Eighty-five patients were assessed using 288 indirect calorimetry measurements. The following energy requirement values were obtained for the different methods: 1,753.98±391.13 kcal/ day (24.48 ± 5.95 kcal/kg/day) for indirect calorimetry and 1,504.11 ± 266.99 kcal/day (20.72±2.43 kcal/kg/day) for the HarrisBenedict equation. The equation had a precision of 31.76% with a mean difference of -259.86 kcal/day and limits of agreement between -858.84 and 339.12 kcal/day. Sex (p=0.023), temperature (p=0.009) and body mass index (p<0.001) were found to significantly affect energy expenditure.Conclusion: The Harris-Benedict equation is inaccurate and tends to underestimate energy expenditure. In addition, the Harris-Benedict equation is associated with significant differences between the predicted and true energy expenditure at an individual level.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Necessidades nutricionais do doente crítico

Costa¹,

Marinho²,

Cançado³

2012

Rev. bras. ter. intensiva

View full text Add to dashboard Cite

show abstract

“…This equation may underestimate or overestimate REE by up to 10%, depending on the patient and on the type of condition 6 . Many studies have found significant differences between REE values measured by indirect calorimetry and those resulting from various predictive equations 7 , so on the basis of the findings by Long et al 8 , correction factors for attenuation of the differences between the several types of injuries diseases have often been utilized.…”

Section: Introductionmentioning

confidence: 99%

Energy expenditure in critically ill surgical patients. Comparative analysis of predictive equation and indirect calorimetry

Auxiliadora‐Martins¹,

Menegueti²,

Nicolini³

et al. 2011

Acta Cir. Bras.

View full text Add to dashboard Cite

PURPOSE:The aim of this investigation was to compare the resting energy expenditure (REE) calculated by the Harris-Benedict equation (REE HB ) with the REE measured by indirect calorimetry (REE IC ) in critically ill surgical patients under mechanical ventilation. METHODS: Thirty patients were included in this work. REE was calculated by the Harris-Benedict equation (REE HB ) using real body weight, and it was also measured by indirect calorimetry (REE IC ), which was performed for 30 minutes. RESULTS: REE HB had significant (p < 0.0005) but low correlation (Spearman r = 0.57) with REE IC , with a mean bias of 12 kcal.d -1 and limits of agreement ranging from -599.7 to 623.7 kcal.d -1 as detected by the Bland-Altman analysis. CONCLUSION: These findings suggest that REE IC seems to be more appropriate than REE HB for accurate measurement of REE in critically ill surgical patients under mechanical ventilation. Key words: Calorimetry. Instrumentation. Energy Metabolism. Intensive Care. RESUMO OBJETIVO:O objetivo deste estudo foi comparar o gasto energético de repouso (GER), calculado pela equação de Harris-Benedict (GER HB ) com o GER medido pela calorimetria indireta (GER CI ) em pacientes cirúrgicos gravemente enfermos em ventilação mecânica. MÉTODOS: Trinta pacientes foram incluídos nesta investigação. O gasto energético de repouso foi calculado pela equação de Harris-Benedict (GER HB ) utilizando o peso corporal real e medido pela calorimetria indireta (GER CI ). A calorimetria indireta foi realizada durante 30 minutos. RESULTADOS: O gasto energético de repouso calculado pela equação de Harris-Benedict mostrou uma correlação significativa (p < 0,0005), porém fraca (Spearman r = 0,57) com GER CI , com um viés médio de 12 kcal.d-1 e os limites de concordância variando de -599,7 a -623,7 kcal.d -1 como detectados pela análise de Bland-Altman. CONCLUSÃO: Estes achados sugerem que a calorimetria indireta parece ser mais apropriada do que a equação de Harris Benedict para a medida exata do GER em pacientes cirúrgicos gravemente enfermos em ventilação mecânica. Descritores: Calorimetria. Instrumentação. Metabolismo Energético. Cuidados Intensivos.

show abstract