Perioperative Energy Expenditure in Major Liver Resection
PRO-NRG
Pre- and Postoperative Energy Expenditure in Major Liver Resection: What do we Ask From a Patient?
1 other identifier
observational
20
1 country
1
Brief Summary
Rationale: Complication rates after major liver resections remain as high as 43%. Many initiatives have been taken to reduce postoperative morbidity. As such, prehabilitation programmes are increasingly used for patients undergoing major abdominal surgery. Improvement of aerobic fitness has been proven to reduce complication rates, especially in high-risk patients (those with a low preoperative aerobic capacity). Different conceptual hypotheses exist of the underlying mechanism of variability in postoperative complications and prehabilitation response. One of the complementary rationales focusses on homeostasis-allostasis before and after surgery, more specifically on the preoperative aerobic capacity to meet postoperative metabolic demands. However, more insight in postoperative metabolic demands (energy expenditure) during in-hospital recovery from major abdominal surgery in relation to preoperative resting metabolic demands and maximal aerobic capacity is essential to understand the increase in metabolic demands coinciding with major surgery in relation to the body's reserve capacity. This information can be used to better understand the rationale behind exercise prehabilitation, as well as to optimize the content of preoperative treatment for unfit patients, for instance by means of personalized prehabilitation programs that might improve postoperative outcomes. Objective: This study aims to explore the difference of pre- and postoperative energy expenditure in patients undergoing major elective liver resection and relate this to their preoperative aerobic capacity. Study design: The study will be a prospective observational study with thorough pre- and postoperative measurements of energy expenditure. Energy expenditure will be measured using the doubly labelled water method, as well as by indirect calorimetry. To assess aerobic capacity, cardiopulmonary exercise testing will be performed pre- and postoperatively. Additionally, accelerometers will be used to evaluate pre- and postoperative physical activity levels. Study population: Patients aged ≥18 years undergoing major liver resection (≥3 segments) will be asked to participate. The inability to perform cardiopulmonary exercise testing, neo-adjuvant chemotherapy, and cirrhotic liver are reasons for exclusion. Main study parameters/endpoints: The main study parameter is the difference of energy expenditure pre- and postoperatively, as measured with doubly labelled water and indirect calorimetry. Secondary endpoints: Additionally, as secondary endpoints, aerobic fitness, physical activity level, and postoperative complications will be assessed.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started May 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 1, 2023
CompletedFirst Submitted
Initial submission to the registry
May 4, 2023
CompletedFirst Posted
Study publicly available on registry
July 5, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 11, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2025
CompletedAugust 5, 2024
August 1, 2024
1.9 years
May 4, 2023
August 2, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Change in energy expenditure using direct calorimetry
Direct calorimetry applying the doubly labelled water method
through monitoring period, average of 2 weeks perioperatively
Change in energy expenditure using indirect calorimetry
Indirect calorimetry applying a ventilated hood system
through monitoring period, average of 2 weeks perioperatively
Secondary Outcomes (7)
Preoperative aerobic fitness
One week prior to surgery
Postoperative aerobic fitness
end of monitoring period, average of 2 weeks postoperatively
Perioperative physical activity level
through monitoring period, average of 2 weeks perioperatively
Postoperative complications
30-day postoperatively
Liver-specific postoperative complications
30-day postoperatively
- +2 more secondary outcomes
Interventions
Pre- and postoperative assessment will consist of measurement of energy expenditure (direct and indirect calorimetry), aerobic capacity (cardiopulmonary exercise test), and physical activity (accelerometry).
Eligibility Criteria
adults, requiring major liver resection (≥3 segments) for any kind of malignant indication at Maastricht UMC+
You may qualify if:
- Age ≥18 years
- Scheduled for open liver resection (≥3 segments) at the MUMC+
- Able to understand the Dutch language sufficiently to give consent and follow orders during study assessments
You may not qualify if:
- Cirrhotic liver
- Unable or unwilling to perform CPET or indirect calorimetry
- Liver ablation as the primary treatment
- Termination of surgery due to too extensive oncological disease (open-close surgery
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Maastricht University Medical Center+
Maastricht, Netherlands
Related Publications (26)
Lu Q, Lu JW, Wu Z, Liu XM, Li JH, Dong J, Yin GZ, Lv Y, Zhang XF. Perioperative outcome of elderly versus younger patients undergoing major hepatic or pancreatic surgery. Clin Interv Aging. 2018 Jan 24;13:133-141. doi: 10.2147/CIA.S153058. eCollection 2018.
PMID: 29416321BACKGROUNDvan der Werf LR, Kok NFM, Buis CI, Grunhagen DJ, Hoogwater FJH, Swijnenburg RJ, den Dulk M, Dejong KCHC, Klaase JM; Dutch Hepato Biliary Audit Group. Implementation and first results of a mandatory, nationwide audit on liver surgery. HPB (Oxford). 2019 Oct;21(10):1400-1410. doi: 10.1016/j.hpb.2019.02.021. Epub 2019 Mar 26.
PMID: 30926330BACKGROUNDWilson RJ, Davies S, Yates D, Redman J, Stone M. Impaired functional capacity is associated with all-cause mortality after major elective intra-abdominal surgery. Br J Anaesth. 2010 Sep;105(3):297-303. doi: 10.1093/bja/aeq128. Epub 2010 Jun 23.
PMID: 20573634BACKGROUNDMoran J, Wilson F, Guinan E, McCormick P, Hussey J, Moriarty J. Role of cardiopulmonary exercise testing as a risk-assessment method in patients undergoing intra-abdominal surgery: a systematic review. Br J Anaesth. 2016 Feb;116(2):177-91. doi: 10.1093/bja/aev454.
PMID: 26787788BACKGROUNDJunejo MA, Mason JM, Sheen AJ, Moore J, Foster P, Atkinson D, Parker MJ, Siriwardena AK. Cardiopulmonary exercise testing for preoperative risk assessment before hepatic resection. Br J Surg. 2012 Aug;99(8):1097-104. doi: 10.1002/bjs.8773. Epub 2012 Jun 14.
PMID: 22696424BACKGROUNDThomas G, Tahir MR, Bongers BC, Kallen VL, Slooter GD, van Meeteren NL. Prehabilitation before major intra-abdominal cancer surgery: A systematic review of randomised controlled trials. Eur J Anaesthesiol. 2019 Dec;36(12):933-945. doi: 10.1097/EJA.0000000000001030.
PMID: 31188152BACKGROUNDDunne DF, Jack S, Jones RP, Jones L, Lythgoe DT, Malik HZ, Poston GJ, Palmer DH, Fenwick SW. Randomized clinical trial of prehabilitation before planned liver resection. Br J Surg. 2016 Apr;103(5):504-12. doi: 10.1002/bjs.10096. Epub 2016 Feb 11.
PMID: 26864728BACKGROUNDBongers BC, Punt IM, van Meeteren NL. On "Prehabilitation: The emperor's new clothes or a new arena for physical therapists?" Lundberg M, Archer KR, Larsson C, Rydwik E. Phys Ther. 2018;12:127-130. Phys Ther. 2019 Jul 1;99(7):953-954. doi: 10.1093/ptj/pzz064. No abstract available.
PMID: 31108508BACKGROUNDWest MA, Wischmeyer PE, Grocott MPW. Prehabilitation and Nutritional Support to Improve Perioperative Outcomes. Curr Anesthesiol Rep. 2017;7(4):340-349. doi: 10.1007/s40140-017-0245-2. Epub 2017 Nov 7.
PMID: 29200973BACKGROUNDGoldstein DS, McEwen B. Allostasis, homeostats, and the nature of stress. Stress. 2002 Feb;5(1):55-8. doi: 10.1080/102538902900012345.
PMID: 12171767BACKGROUNDBongers BC, Dejong CHC, den Dulk M. Enhanced recovery after surgery programmes in older patients undergoing hepatopancreatobiliary surgery: what benefits might prehabilitation have? Eur J Surg Oncol. 2021 Mar;47(3 Pt A):551-559. doi: 10.1016/j.ejso.2020.03.211. Epub 2020 Mar 29.
PMID: 32253075BACKGROUNDDeurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991 Mar;65(2):105-14. doi: 10.1079/bjn19910073.
PMID: 2043597BACKGROUNDWesterterp KR, Wouters L, van Marken Lichtenbelt WD. The Maastricht protocol for the measurement of body composition and energy expenditure with labeled water. Obes Res. 1995 Mar;3 Suppl 1:49-57. doi: 10.1002/j.1550-8528.1995.tb00007.x.
PMID: 7736290BACKGROUNDDelsoglio M, Dupertuis YM, Oshima T, van der Plas M, Pichard C. Evaluation of the accuracy and precision of a new generation indirect calorimeter in canopy dilution mode. Clin Nutr. 2020 Jun;39(6):1927-1934. doi: 10.1016/j.clnu.2019.08.017. Epub 2019 Sep 10.
PMID: 31543335BACKGROUNDLevett DZH, Jack S, Swart M, Carlisle J, Wilson J, Snowden C, Riley M, Danjoux G, Ward SA, Older P, Grocott MPW; Perioperative Exercise Testing and Training Society (POETTS). Perioperative cardiopulmonary exercise testing (CPET): consensus clinical guidelines on indications, organization, conduct, and physiological interpretation. Br J Anaesth. 2018 Mar;120(3):484-500. doi: 10.1016/j.bja.2017.10.020. Epub 2017 Nov 24.
PMID: 29452805BACKGROUNDLamarra N, Whipp BJ, Ward SA, Wasserman K. Effect of interbreath fluctuations on characterizing exercise gas exchange kinetics. J Appl Physiol (1985). 1987 May;62(5):2003-12. doi: 10.1152/jappl.1987.62.5.2003.
PMID: 3110126BACKGROUNDAmerican Thoracic Society; American College of Chest Physicians. ATS/ACCP Statement on cardiopulmonary exercise testing. Am J Respir Crit Care Med. 2003 Jan 15;167(2):211-77. doi: 10.1164/rccm.167.2.211. No abstract available.
PMID: 12524257BACKGROUNDBeaver WL, Wasserman K, Whipp BJ. A new method for detecting anaerobic threshold by gas exchange. J Appl Physiol (1985). 1986 Jun;60(6):2020-7. doi: 10.1152/jappl.1986.60.6.2020.
PMID: 3087938BACKGROUNDBijnens W, Aarts J, Stevens A, Ummels D, Meijer K. Optimization and Validation of an Adjustable Activity Classification Algorithm for Assessment of Physical Behavior in Elderly. Sensors (Basel). 2019 Dec 4;19(24):5344. doi: 10.3390/s19245344.
PMID: 31817164BACKGROUNDvan Dijk-Huisman HC, Bijnens W, Senden R, Essers JMN, Meijer K, Aarts J, Lenssen AF. Optimization and Validation of a Classification Algorithm for Assessment of Physical Activity in Hospitalized Patients. Sensors (Basel). 2021 Feb 27;21(5):1652. doi: 10.3390/s21051652.
PMID: 33673447BACKGROUNDvan Roekel EH, Winkler EA, Bours MJ, Lynch BM, Willems PJ, Meijer K, Kant I, Beets GL, Sanduleanu S, Healy GN, Weijenberg MP. Associations of sedentary time and patterns of sedentary time accumulation with health-related quality of life in colorectal cancer survivors. Prev Med Rep. 2016 Jul 1;4:262-9. doi: 10.1016/j.pmedr.2016.06.022. eCollection 2016 Dec.
PMID: 27419042BACKGROUNDWielopolski J, Reich K, Clepce M, Fischer M, Sperling W, Kornhuber J, Thuerauf N. Physical activity and energy expenditure during depressive episodes of major depression. J Affect Disord. 2015 Mar 15;174:310-6. doi: 10.1016/j.jad.2014.11.060. Epub 2014 Dec 8.
PMID: 25532078BACKGROUNDMitchell AJ, Chan M, Bhatti H, Halton M, Grassi L, Johansen C, Meader N. Prevalence of depression, anxiety, and adjustment disorder in oncological, haematological, and palliative-care settings: a meta-analysis of 94 interview-based studies. Lancet Oncol. 2011 Feb;12(2):160-74. doi: 10.1016/S1470-2045(11)70002-X. Epub 2011 Jan 19.
PMID: 21251875BACKGROUNDZigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983 Jun;67(6):361-70. doi: 10.1111/j.1600-0447.1983.tb09716.x.
PMID: 6880820BACKGROUNDAnnunziata MA, Muzzatti B, Bidoli E, Flaiban C, Bomben F, Piccinin M, Gipponi KM, Mariutti G, Busato S, Mella S. Hospital Anxiety and Depression Scale (HADS) accuracy in cancer patients. Support Care Cancer. 2020 Aug;28(8):3921-3926. doi: 10.1007/s00520-019-05244-8. Epub 2019 Dec 19.
PMID: 31858249BACKGROUNDBjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002 Feb;52(2):69-77. doi: 10.1016/s0022-3999(01)00296-3.
PMID: 11832252BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
S.W.M. Olde Damink, MD MSc PhD
Maastricht University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Coordinating Investigator
Study Record Dates
First Submitted
May 4, 2023
First Posted
July 5, 2023
Study Start
May 1, 2023
Primary Completion
April 11, 2025
Study Completion
August 31, 2025
Last Updated
August 5, 2024
Record last verified: 2024-08