본문 바로가기
KERD
논문KCI 등재

Agreements between Indirect Calorimetry and Prediction Equations of Resting Energy Expenditure in End-Stage Renal Disease Patients on Continuous Ambulatory Peritoneal Dialysis

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류의학일반

초록

Purpose: Equations are frequently used to estimate resting energy expenditure (REE) in a clinical setting. However, few studies have examined their accuracy in end-stage renal disease (ESRD) patients. Patients and Methods: To investigate agreement between indirect calorimetry and several REE estimating equations in 38 ESRD patients on peritoneal dialysis, we performed indirect calorimetry and compared the results with REEs estimated using 5 equations [Harris-Benedict (HBE), Mifflin, WHO, Schofield, and Cunningham]. Results: Measured REE was 1393.2±238.7kcal/day. There were no significant differences between measured and estimated REEs except Mifflin (1264.9±224.8kcal/day). Root mean square errors were smallest for HBE, followed by Schofield, Cunningham, and WHO, and largest for Mifflin (171.3, 171.9, 174.6, 175.3, and 224.6, respectively). In Bland-Altman plot, correlation coefficients between mean values and differences were significant for HBE (r=0.412, p=0.012) and tended to be significant for Cunningham (r=0.283, p=0.086). In DM patients and patients with overhydration, HBE showed significant underestimation when REE increased. Conclusion: In ESRD patients on continuous ambulatory peritoneal dialysis (CAPD), REE-estimating equations have no significant differences from indirect calorimetry, except Mifflin. However, HBE showed greater bias than others when REE was high.

Abstract

Purpose: Equations are frequently used to estimate resting energy expenditure (REE) in a clinical setting. However, few studies have examined their accuracy in end-stage renal disease (ESRD) patients. Patients and Methods: To investigate agreement between indirect calorimetry and several REE estimating equations in 38 ESRD patients on peritoneal dialysis, we performed indirect calorimetry and compared the results with REEs estimated using 5 equations [Harris-Benedict (HBE), Mifflin, WHO, Schofield, and Cunningham]. Results: Measured REE was 1393.2±238.7kcal/day. There were no significant differences between measured and estimated REEs except Mifflin (1264.9±224.8kcal/day). Root mean square errors were smallest for HBE, followed by Schofield, Cunningham, and WHO, and largest for Mifflin (171.3, 171.9, 174.6, 175.3, and 224.6, respectively). In Bland-Altman plot, correlation coefficients between mean values and differences were significant for HBE (r=0.412, p=0.012) and tended to be significant for Cunningham (r=0.283, p=0.086). In DM patients and patients with overhydration, HBE showed significant underestimation when REE increased. Conclusion: In ESRD patients on continuous ambulatory peritoneal dialysis (CAPD), REE-estimating equations have no significant differences from indirect calorimetry, except Mifflin. However, HBE showed greater bias than others when REE was high.

참고문헌 (43)

  1. Qureshi AR, "Factors predicting malnutrition in hemodialysis patients: a cross-sectional study", Kidney Int, 53, pp.773~782 (1998)
  2. Widdowson EM, "The food intake and energy expenditure of cadets in training", Br J Nutr, 8, pp.147~155 (1984)
  3. Boothby WM, "Summary of the basal metabolism data on 8614 subjects with special reference to the normal standards for the estimation of the basal metabolic rate", J Biol Chem, 54, pp.783~803 (1922)
  4. Ravussin E, "Reduced rate of energy expenditure as a risk factor for body weight gain", N Engl J Med, 318, pp.467~472 (1988)
  5. Elia M, "Energy expenditure in whole body Energy metabolism: Tissue determinants and cellular corollaries", pp.19~59 (1992), Raven Press
  6. Quenouille MH, "Statistical studies of recorded energy expenditure of man. Part 1. Basal metabolism related to sex, stature, age, climate and race. Commonwealth Bureau of Animal Nutrition Communication No. 17" (1951), Commonwealth Agricultural Bureau, Rowett Institute
  7. Schofield WN, "Predicting basal metabolic rate, new standards and review of previous work", Hum Nutr Clin Nutr, 39(1), pp.5~41 (1985)
  8. Siervo M, "prediction equation should we use in normal-weight, overweight and obese women?", Clin Nutr, 22, pp.193~204 (2003)
  9. Bott L, "Comparison of resting energy expenditure in bronchopulmonary dysplasia to predicted equation", Eur J Clin Nutr, 60, pp.1323~1329 (2006)
  10. Suman OE, "Resting energy expenditure in severely burned children: analysis of agreement between indirect calorimetry and prediction equations using the Bland-Altman method", Burns, 32, pp.335~342 (2006)
  11. Cuerda Compés MC, "Study of energy expenditure in anorexia nervosa: agreement between indirect calorimatry and several equations (in Spanish)", Nutr Hosp, 20, pp.371~377 (2005)
  12. Rigalleau V, "Resting energy expenditure in uremic, diabetic, and uremic diabetic subjects", J Diabetes Complications, 18, pp.237~241 (2004)
  13. Weir JB, "New methods for calculating metabolic rate with special reference to protein metabolism", J Physiol, 109, pp.1~9 (1949)
  14. Zurlo F, "Skeletal muscle metabolism is a major determinant of resting energy expenditure", J Clin Invest, 86, pp.1423~1427 (1990)
  15. Harris JA, "A biometric study of basal metabolism in man" (1919), Carnegie Institute of Washington
  16. Mifflin MD, St, "A new predictive equation for resting energy expenditure in healthy individuals", Am J Clin Nutr, 51, pp.241~247 (1990)
  17. FAO, "WHO", UNU, WHO, pp.UNU Expert Consultation, World Health Organ Tech Rep Ser[DOI]
  18. Cunningham JJ, "A reanalysis of the factors influencing basal metabolic rate in normal adults", Am J Clin Nutr, 33, pp.2372~2374 (1980)
  19. Bedogni G, "Accuracy of an eight-point tactile- electrode impedance method in the assessment of total body water", Eur J Clin Nutr, 56, pp.1143~1148 (2002)
  20. Malavolti M, "Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21-82 years", Ann Hum Biol, 30, pp.380~391 (2003)
  21. Detsky AS, "What is subjective global assessment of nutritional status?", JPEN J Parenter Enteral Nutr, 11, pp.8~13 (1987)
  22. Nolph KD, "Cross-sectional assessment of weekly urea and creatinine clearances in patients on continuous ambulatory peritoneal dialysis", ASAIO J, 38, pp.M139~M142 (1992)
  23. Watson PE, "Total body water volumes for adult males and females estimated from simple anthropometric measurements", Am J Clin Nutr, 33, pp.27~39 (1980)
  24. Bergström J, "Calculation of the protein equivalent of total nitrogen appearance from urea appearance. Which formulas should be used?", Perit Dial Int, 18, pp.467~473 (1998)
  25. van Olden RW, "Measurement of residual renal function in patients treated with continuous ambulatory peritoneal dialysis", J Am Soc Nephrol, 7, pp.745~750 (1996)
  26. Bland JM, "Statistical methods for assessing agreement between two methods of clinical measurement", Lancet, 1, pp.307~370 (1986)
  27. Sardesai VM, "Requirements for energy, carbohydrates, fat, and proteins Introduction to clinical nutrition", pp.1~13 (1998), Dekker M
  28. Pupim LB, "Assessment and monitoring of uremic malnutrition", J Ren Nutr, 14, pp.6~19 (2004)
  29. Simonson DC, "Indirect calorimetry: methodological and interpretative problems", Am J Physiol, 258, pp.E399~E412 (1990)
  30. Ferrannini E, "The theoretical bases of indirect calorimetry: a review", Metabolism, 37, pp.287~301 (1988)
  31. Schutz Y, "Energy metabolism: overview of recent methods used in human studies", Ann Nutr Metab, 40, pp.183~193 (1996)
  32. Matarese LE, "Indirect calorimetry: technical aspects", J Am Diet Assoc, 97(10), pp.S154~S160 (1997)
  33. Avesani CM, "Resting energy expenditure in pre-dialysis diabetic patients", Nephrol Dial Transplant, 16, pp.556~565 (2001)
  34. Price SR, "Muscle wasting in insulinopenic rats results from activation of the ATP-dependent, ubiquitin- proteasome proteolytic pathway by a mechanism including gene transcription", J Clin Invest, 98, pp.1703~1708 (1996)
  35. Ikizler TA, "Increased energy expenditure in hemodialysis patients", J Am Soc Nephrol, 7, pp.2646~2653 (1996)
  36. Neyra R, "Increased resting energy expenditure in patients with end-stage renal disease", JPEN J Parenter Enteral Nutr, 27, pp.36~42 (2003)
  37. O’Sullivan AJ, "Body composition and energy metabolism in chronic renal insufficiency", Am J Kidney Dis, 39, pp.369~375 (2002)
  38. Schneeweiss B, "Energy metabolism in acute and chronic renal failure", Am J Clin Nutr, 52, pp.596~601 (1990)
  39. Monteon FJ, "Energy expenditure in patients with chronic renal failure", Kidney Int, 30, pp.741~747 (1986)
  40. Cha K, "Multifrequency bioelectrical impedance estimates the distribution of body water", J Appl Physiol, 79, pp.1316~1319 (1995)
  41. Oe B, "Diameter of inferior caval vein (VCD) and bioelectrical impedance analysis (BIA) for the analysis of hydration status in patients on hemodialysis", Clin Nephrol, 50, pp.38~43 (1998)
  42. Oe B, "Detection of hydration status by total body bioelectrical impedance analysis (BIA) in patients on hemodialysis", Int J Artif Organs, 20, pp.371~374 (1997)
  43. Jaeger JQ, "Dry weight and body composition in hemodialysis: A proposal for an index of fluid removal", Semin Dial, 12, pp.164~174 (1999)

관련 논문AI추천

Resting energy expenditure in Korean type 2 diabetes patients: comparison between measured and predicted values임정은, Cho Sung-Rae, Park Ji-Sook한국영양학회 · Nutrition Research and Practice2023 · 제17권 제3호Validity of predictive equations for resting energy expenditure in Korean non-obese adults김은경, 박정혜, 주문정, 최연정, Didace Ndahimana한국영양학회 · Nutrition Research and Practice2018 · 제12권 제4호Validation of dietary reference intake equations for estimating energy requirements in Korean adults by using the doubly labeled water method김명희, 김은경, 김재희, 김정현, 박종훈, 연서은, 윤진숙, Didace Ndahimana, Kazuko Ishikawa-Takata한국영양학회 · Nutrition Research and Practice2017 · 제11권 제4호Estimating resting energy expenditure in critically ill patients: a retrospective exploratory comparison of predictive equations and Fick-derived Weir estimates in ItalyBruna Pisapia, Calicchio Alessandro, Gammaldi Renato, Palmese Salvatore, Romanelli Antonio, Sabato Pascarella대한중환자의학회 · Acute and Critical Care2025 · 제40권 제3호Accuracy of predictive equations for resting energy expenditure (REE) in non-obese and obese Korean children and adolescents김명희, 김은경, 김재희한국영양학회 · Nutrition Research and Practice2012 · 제6권 제1호Validity of the dietary reference intakes for determining energy requirements in older adultsDidace Ndahimana, Eun-Kyung Kim, Jonghoon Park, Kazuko Ishikawa-Takata, Na-Young Go한국영양학회 · Nutrition Research and Practice2019 · 제13권 제3호

이 간행물의 다른 논문 (10건)