The Use of Indirect Calorimetry in Nutrition Therapy and Its Impact on Clinical Outcomes in Critically ill Patients: A review

##plugins.themes.academic_pro.article.sidebar##

Published Feb 25, 2023
https://doi.org/10.70436/nuijb.v2i01.24
Download
PDF 264
Statistic

Downloads

Download data is not yet available.
Vol. 2 No. 01 (2023): February

##plugins.themes.academic_pro.article.main##

Samiullah Saeed
Imran Zafarzai
Farhad Sherzad

Abstract

Adequate “nutritional support is an essential element for achieving favorable outcomes in critically ill patients, which requires an accurate evaluation of energy needs to avoid under or overfeeding.” Energy requirements of critically ill patients can be assessed either by Predictive equations (PEs) or by “indirect calorimetry(IC) measurements.” However, assessment of energy expenditure (EE) is a challenging task in intensive care unit patients” because EE during critical illness is widely variable and the current PEs are inaccurate to determine the caloric requirement in these patients.” Currently, IC is considered a gold standard for measuring EE as recommended by guidelines.” Despite being the most accurate method of measuring EE, adequate data are lacking to validate the beneficial effects of IC-guided nutrition therapy on clinical outcomes in critically ill patients. Because of this, the actual clinical benefits of IC are poorly appreciated, and it is still an underutilized tool among dietitians in clinical practice.” Therefore, in many centers, PEs are commonly used instead. The purpose of this review is to summarize the findings of recent studies regarding IC-guided nutrition therapy and its impact on clinical outcomes in critically ill patients.

Keywords

Nutrition therapy, Critical Illness, Indirect Calorimetry, Energy Expenditure, Predictive equations

##plugins.themes.academic_pro.article.details##

How to Cite
Saeed, S., Zafarzai, I., & Sherzad, F. (2023). The Use of Indirect Calorimetry in Nutrition Therapy and Its Impact on Clinical Outcomes in Critically ill Patients: A review. Nangarhar University International Journal of Biosciences, 2(01), 78–87. https://doi.org/10.70436/nuijb.v2i01.24

References

  1. Alberda, Cathy, Leah Gramlich, Naomi Jones, Khursheed Jeejeebhoy, Andrew G. Day, Rupinder Dhaliwal, and Daren K. Heyland. (2009). “The Relationship between Nutritional Intake and Clinical Outcomes in Critically Ill Patients: Results of an International Multicenter Observational Study.” Intensive Care Medicine 35(10):1728–37. doi: 10.1007/s00134-009-1567-4.
  2. Arabi, Yaseen M., Samir H. Haddad, Hani M. Tamim, Asgar H. Rishu, Maram H. Sakkijha, Salim H. Kahoul, and J. Riette. (2010). Journal of Parenteral and Enteral Nutrition. doi: 10.1177/0148607109353439.
  3. Zusman, O., Theilla, M., Cohen, J., Kagan, I., Bendavid, I., & Singer, P. (2016). Resting energy expenditure, calorie and protein consumption in critically ill patients: a retrospective cohort study. Critical care, 20(1), 1-8.
  4. Delsoglio, Marta, Najate Achamrah, Mette M. Berger, and Claude Pichard. (2019). Indirect Calorimetry in Clinical Practice. Journal of Clinical Medicine 8(9):1387. doi: 10.3390/jcm8091387.
  5. Elke, Gunnar, Miao Wang, Norbert Weiler, Andrew G. Day, and Daren K. Heyland. (2014). Close to Recommended Caloric and Protein Intake by Enteral Nutrition Is Associated with Better Clinical Outcome of Critically Ill Septic Patients : Secondary Analysis of a Large International Nutrition Database. 1–8.
  6. Espinoza, Rodolfo E. A., Nara L. A. L. Segadilha, Wilza A. F. Peres, Karla L. P. Gomes, Lilian M. S. Tanaka, and Eduardo E. M. Rocha. (2016). Energy Expenditure in Critically Ill Elderly Patients: Indirect Calorimetry vs Predictive Equations. Journal of Parenteral and Enteral Nutrition 41(5):776–84. doi: 10.1177/0148607115625609.
  7. Gonzalez-granda, Anita, Asja Schollenberger, Michael Haap, Reimer Riessen, and Stephan C. Bischoff. (2018). Optimization of Nutrition Therapy with the Use of Calorimetry to Determine and Control Energy Needs in Mechanically Ventilated Critically Ill Patients : The ONCA Study , a Randomized , Prospective Pilot Study. 0(0). doi: 10.1002/jpen.1450.
  8. Das Gupta, Riddhi, Roshna Ramachandran, Padmanaban Venkatesan1, Shajith Anoop, Mini Joseph, and Nihal Thomas. (2017). Indirect Calorimetry: From Bench to Bedside. Indian Journal of Endocrinology and Metabolism 21(2):308–15. doi: 10.4103/ijem.IJEM.
  9. Haugen, Heather A., Lingtak-Neander Chan, and Fanny Li. (2007). Invited Review Indirect Calorimetry: A Practical Guide for Clinicians Determining Energy Expenditure. Nutrition in Clinical Practice (22):377–88. doi: 10.1177/0115426507022004377.
  10. Heyland, Daren K., Kimberly E. Stephens, Andrew G. Day, and Stephen A. Mcclave. (2011). The Success of Enteral Nutrition and ICU-Acquired Infections : A Multicenter Observational Study Q. Clinical Nutrition 30(2):148–55. doi: 10.1016/j.clnu.2010.09.011.
  11. Heyland, D. K., Cahill, N., & Day, A. G. (2011). Optimal amount of calories for critically ill patients: depends on how you slice the cake!. Critical care medicine, 39(12), 2619-2626.
  12. Krishnan, Jerry A., Pat B. Parce, Anthony Martinez, Gregory B. Diette, and Roy G. Brower. (2003). Caloric Intake in Medical ICU Patients * Consistency of Care With Guidelines and Relationship to Clinical Outcomes. CHEST 124(1):297–305. doi: 10.1378/chest.124.1.297.
  13. Ladd, Amy K., Heather E. Skillman, Matthew A. Haemer, and Peter M. Mourani. (2018). Preventing Underfeeding and Overfeeding: A Clinician’s Guide to the Acquisition and Implementation of Indirect Calorimetry. Nutrition in Clinical Practice 33(2):198–205. doi: 10.1177/0884533617710214.
  14. Lambell, K. J., Tatucu-Babet, O. A., Chapple, L. A., Gantner, D., & Ridley, E. J. (2020). Nutrition therapy in critical illness: a review of the literature for clinicians. Critical Care, 24, 1-11.
  15. Landes, Sarah, Stephen A. McClave, Thomas H. Frazier, Cynthia C. Lowen, and Ryan T. Hurt. (2016). Indirect Calorimetry: Is It Required to Maximize Patient Outcome from Nutrition Therapy?. Current Nutrition Reports 5(3):233–39. doi: 10.1007/s13668-016-0171-9.
  16. Lange, Theis, Casper Claudius, Matilde Jo Allingstrup, Anders Perner, Rikke Hein-Rasmussen, Jørgen Wiis, Morten Hylander Møller, Mads Rye Bjerregaard, Ulf Gøttrup Pedersen, Tom Hartvig Jensen, Morten Steensen, Martin Bruun Madsen, and Jens Kondrup. (2017). Early Goal-Directed Nutrition versus Standard of Care in Adult Intensive Care Patients: The Single-Centre, Randomised, Outcome Assessor-Blinded EAT-ICU Trial. Intensive Care Medicine 43(11):1637–47. doi: 10.1007/s00134-017-4880-3.
  17. Lev, Shaul, Jonathan Cohen, and Pierre Singer. (2010). Indirect Calorimetry Measurements in the Ventilated Critically Ill Patient: Facts and Controversies-the Heat Is On. Critical Care Clinics 26(4):e1–9. doi: 10.1016/j.ccc.2010.08.001.
  18. Lev, Shaul, Elad Grozovski, Haim Shapiro, Zecharia Madar, Jonathan Cohen, Ronit Anbar, Michal Shalita-Chesner, Sigal Frishman, Pierre Singer, and Miryam Theilla. (2011). The Tight Calorie Control Study (TICACOS): A Prospective, Randomized, Controlled Pilot Study of Nutritional Support in Critically Ill Patients. Intensive Care Medicine 37(4):601–9. doi: 10.1007/s00134-011-2146-z.
  19. Lew, Charles Chin Han, Rosalie Yandell, Robert J. L. Fraser, Ai Ping Chua, Mary Foong Fong Chong, and Michelle Miller. (2017). Association between Malnutrition and Clinical Outcomes in the Intensive Care Unit: A Systematic Review. Journal of Parenteral and Enteral Nutrition 41(5):744–58. doi: 10.1177/0148607115625638.
  20. McClave, Stephen A., David A. Spain, Judah L. Skolnick, Cynthia C. Lowen, Melissa J. Kleber, Patrice S. Wickerham, Janet R. Vogt, and Stephen W. Looney. (2003). Achievement of Steady State Optimizes Results When Performing Indirect Calorimetry. Journal of Parenteral and Enteral Nutrition 27(1):16–20.
  21. McClave, Stephen A., Beth E. Taylor, Robert G. Martindale, Malissa M. Warren, Debbie R. Johnson, Carol Braunschweig, Mary S. McCarthy, Evangelia Davanos, Todd W. Rice, Gail A. Cresci, Jane M. Gervasio, Gordon S. Sacks, Pamela R. Roberts, and Charlene Compher. (2016). Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). Journal of Parenteral and Enteral Nutrition 40(2):159–211. doi: 10.1177/0148607115621863.
  22. Nicolo, M., Heyland, D. K., Chittams, J., Sammarco, T., & Compher, C. (2016). Clinical outcomes related to protein delivery in a critically ill population: a multicenter, multinational observation study. Journal of Parenteral and Enteral Nutrition, 40(1), 45-51.
  23. Oshima, Taku, Mette M. Berger, Elisabeth De Waele, Anne Berit Guttormsen, Claudia Paula Heidegger, Michael Hiesmayr, Pierre Singer, Jan Wernerman, and Claude Pichard. (2017). Indirect Calorimetry in Nutritional Therapy. A Position Paper by the ICALIC Study Group. Clinical Nutrition 36(3):651–62. doi: 10.1016/j.clnu.2016.06.010.
  24. Oshima, Taku, Yves Marc, Marta Delsoglio, Severine Graf, Claudia-paula Heidegger, and Claude Pichard. (2019). Clinical Nutrition ESPEN In Vitro Validation of Indirect Calorimetry Device Developed for the ICALIC Project against Mass Spectrometry. Clinical Nutrition ESPEN. doi: 10.1016/j.clnesp.2019.05.004.
  25. Rattanachaiwong, Sornwichate, and Pierre Singer. (2018). Should We Calculate or Measure Energy Expenditure? Practical Aspects in the ICU. Nutrition 55–56:71–75. doi: 10.1016/j.nut.2018.05.001.
  26. Reeves, Marina M., and Sandra Capra. (2003). Predicting Energy Requirements in the Clinical Setting: Are Current Methods Evidence Based? Nutrition Reviews 61(4):143–51. doi: 10.1301/nr.2003.apr.143-151.
  27. Ridley, Emma, Dashiell Gantner, and Vincent Pellegrino. (2015). Nutrition Therapy in Critically Ill Patients- a Review of Current Evidence for Clinicians. Clinical Nutrition 34(4):565–71. doi: 10.1016/j.clnu.2014.12.008.
  28. Saffle, JEFFREY R., CATHERINE M. Larson, and JOHN Sullivan. (1990). A Randomized Trial of Indirect Calorimetry-Based Feedings in Thermal Injury. The Journal of Trauma, 30(7), 776–782.Feedings in Thermal Injury. The Journal of Trauma 30(7):776–82.
  29. Singer, Pierre, Annika Reintam Blaser, Mette M. Berger, Waleed Alhazzani, Philip C. Calder, Michael P. Casaer, Michael Hiesmayr, Konstantin Mayer, Juan Carlos Montejo, and Claude Pichard. (2019). ESPEN Guideline on Clinical Nutrition in the Intensive Care Unit. Clinical Nutrition 38(1):48–79.
  30. Singer, Pierre, and Joelle Singer. (2016). Clinical Guide for the Use of Metabolic Carts: Indirect Calorimetry - No Longer the Orphan of Energy Estimation. Nutrition in Clinical Practice 31(1):30–38. doi: 10.1177/0884533615622536.
  31. Sioson, Marianna S., Robert Martindale, Anuja Abayadeera, Nabil Abouchaleh, Dita Aditianingsih, Rungsun Bhurayanontachai, Wei-chin Chiou, Naoki Higashibeppu, Mohd Basri, Mat Nor, Emma Osland, Jose Emmanuel, Nagarajan Ramakrishnan, Medhat Shalabi, Luu Ngan, Jonathan Jit, and Ern Tan. (2017). Clinical Nutrition ESPEN Nutrition Therapy for Critically Ill Patients across the Asia e Paci Fi c and Middle East Regions : A Consensus Statement. Clinical Nutrition ESPEN 1–9. doi: 10.1016/j.clnesp.2017.11.008.
  32. Stapel, Sandra N., Peter J. M. Weijs, Armand R. J. Girbes, and Heleen M. Oudemans-van Straaten. (2018). Indirect Calorimetry in Critically Ill Mechanically Ventilated Patients: Comparison of E-SCOVX with the Deltatrac. Clinical Nutrition 6–11. doi: 10.1016/j.clnu.2018.08.038.
  33. Tatucu-Babet, Oana A., Emma J. Ridley, and Audrey C. Tierney. (2016). Prevalence of Underprescription or Overprescription of Energy Needs in Critically Ill Mechanically Ventilated Adults as Determined by Indirect Calorimetry. Journal of Parenteral and Enteral Nutrition 40(2):212–25.
  34. Tatucu‐Babet, Oana A., Emma J. Ridley, and Audrey C. Tierney. (2016). Prevalence of UndeTatucu‐Babet, O. A., Ridley, E. J., & Tierney, A. C. (2016). Prevalence of Underprescription or Overprescription of Energy Needs in Critically Ill Mechanically Ventilated Adults as Determined by Indirect Calorimetry: A Systematic Literat. Journal of Parenteral and Enteral Nutrition 40(2):212–25.
  35. Waele, Elisabeth De, Patrick M. Honore, Herbert D. Spapen, and Martin Sundström. (2016). New Generation Indirect Calorimeters for Measuring Energy Expenditure in the Critically Ill : A Rampant or Reticent Revolution ? Critical Care 4–5. doi: 10.1186/s13054-016-1315-4.
  36. De Waele, Elisabeth, Joop Jonckheer, Joeri J. Pen, Joy Demol, Kurt Staessens, Luc Puis, Mark La Meir, Patrick M. Honoré, Manu L. N. G. Malbrain, and Herbert D. Spapen. (2019). Energy Expenditure of Patients on ECMO: A Prospective Pilot Study. Acta Anaesthesiologica Scandinavica 63(3):360–64.
  37. Wang, Chen Yu, Chun Te Huang, Chao Hsiu Chen, Mei Fen Chen, Shiu Lan Ching, and Yi Chia Huang. (2017). Optimal Energy Delivery, Rather than the Implementation of a Feeding Protocol, May Benefit Clinical Outcomes in Critically Ill Patients. Nutrients 9(5):1–13. doi: 10.3390/nu9050527.
  38. Wei, Xuejiao, Andrew G. Day, Hélène Ouellette-Kuntz, and Daren K. Heyland. (2015). The Association between Nutritional Adequacy and Long-Term Outcomes in Critically Ill Patients Requiring Prolonged Mechanical Ventilation: A Multicenter Cohort Study. Critical Care Medicine 43(8):1569–79.
  39. Wichansawakun, Sanit, Liisa Meddings, Cathy Alberda, Sarah Robbins, and Leah Gramlich. (2014). Energy Requirements and the Use of Predictive Equations versus Indirect Calorimetry in Critically Ill Patients. Applied Physiology, Nutrition and Metabolism 40(2):207–10. doi: 10.1139/apnm-2014-0276.
  40. Yeh, D. D., Fuentes, E., Quraishi, S. A., Cropano, C., Kaafarani, H., Lee, J., ... & Velmahos, G. (2016). Adequate nutrition may get you home: effect of caloric/protein deficits on the discharge destination of critically ill surgical patients. Journal of Parenteral and Enteral Nutrition, 40(1), 37-44.
  41. Zusman, O., Kagan, I., Bendavid, I., Theilla, M., Cohen, J., & Singer, P. (2018). Predictive equations predictive equations versus measured energy expenditure by indirect calorimetry: a retrospective validation. Clinical Nutrition. doi: 10.1016/j.clnu.2018.04.020.

Most read articles by the same author(s)