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| Name | Class |
|---|---|
| Karolinska Institutet | OTHER |
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The metabolic alterations associated with critical illness have significant implications for the nutritional management of ICU patients. Despite this, little is known about these changes in patients requiring prolonged organ support and nutritional therapy.
The overall aim of this study is to describe changes in metabolism over time in a large prospective cohort of patients requiring >10 days of ICU care. Our hypothesis is that there is a significant change in mean energy expenditure and respiratory quotient (RQ) between the early (day 1-3), intermediate (day 4-10) and late (>10 days) phase in ICU.
Background
Critical illness has profound effects on human metabolism. The most prominent feature in the early phase is an upregulation of catabolic pathways, which promotes the production of endogenous energy substrates and net protein breakdown [1].
There is very little published data describing trends of energy expenditure and substrate utilization in patients with a prolonged ICU stay. While this group only constitutes a small fraction of ICU patients, it accounts for a large part of ICU resource allocation, morbidity and mortality [2]. Several studies have been conducted in recent years to better characterize patients with persistent critical illness, focusing on markers of catabolism and inflammation [3, 4]. It is not known if these changes are associated with alterations in energy metabolism and substrate utilization.
Bridging these knowledge gaps will improve our understanding of the nutritional needs and metabolism of patients beyond the early phase in ICU. We therefore plan to conduct a prospective observational multi-center study to address these questions.
Aim and hypothesis
The overall aim of this project is to describe longitudinal changes in energy expenditure and associated clinical characteristics in a large cohort of patients with a prolonged ICU stay. Our hypothesis is that there is a significant change in mean energy expenditure and respiratory quotient (RQ) between the early (day 1-3), intermediate (day 4-10) and late (>10 days) phase in ICU. Correlations between metabolic rate and other clinical characteristics will also be analysed for hypothesis-generating purposes.
Population
All adult ICU patients with at least one measurement of energy expenditure by indirect calorimetry at participating study sites will be included in the study. Study sites are encouraged to routinely perform indirect calorimetry every 3-4 days. Study subjects will be followed until ICU discharge or death, whichever comes first.
Data collection and reporting
Patient data will be reported pseudonymized through a secure online form.
On admission
Demographic and anthropometric data:
Chronic comorbidities registered in electronic health records (YES/NO):
On the day of each indirect calorimetry
If YES to invasive mechanical ventilation:
Factors that may influence REE:
Results of daily blood tests if available from routine testing:
Medications, nutrition and other therapies:
On discharge
Sample size considerations
The goal of this study is to include ≥200 patients with an ICU length of stay of >10 days. Based on data from the Swedish Intensive Care Registry between 2015-2019, these patients accounted for 5% of all ICU admissions [5]. This proportion is comparable to results from a registry study conducted in Australia and New Zealand of over one million ICU admissions [2]. Based on these figures we intend to screen 6000 unique patients for study participation, accounting for the possibility that multiple measurements of indirect calorimetry are not consistently performed. In total we expect to include around 1250 unique subjects with at least one measurement with indirect calorimetry.
Statistics
Descriptive data will be presented as mean +/- standard deviation or median (interquartile range) as appropriate. The primary and secondary outcome measures will be analysed using a generalized linear mixed-effects model. Exploratory outcomes and their association to other clinical variables will be analysed using generalized linear regression models. If values are found to be not missing at random, conditional logistic regression censoring will be used to calculate inverse probability weights for accounting for difference in drop-out probabilities.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Indirect calorimetry | Diagnostic Test | Measurement of metabolic rate (kcal/day) by respiratory gas analysis. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in resting energy expenditure over time in patients who stay in ICU for >10 days. | Kcal/kg adjusted body weight/24 hours. | From date of ICU admission to the date of ICU discharge or death, whichever came first, assessed up to 24 months. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in respiratory quotient over time in patients who stay in ICU for >10 days. | Quotient of carbon dioxide production and oxygen consumption. | From date of ICU admission to the date of ICU discharge or death, whichever came first, assessed up to 24 months. |
| Change in resting energy expenditure (kcal/kg/day) over time in patients who stay in ICU for ≤10 days. |
| Measure | Description | Time Frame |
|---|---|---|
| Correlations between energy expenditure/respiratory quotient and markers of inflammation, protein catabolism, antecedent characteristics and outcomes. | CRP, albumin, urea/creatinine ratio, age, sex, SOFA, ICU mortality. | From date of ICU admission to the date of ICU discharge or death, whichever came first, assessed up to 24 months. |
Inclusion Criteria:
Exclusion Criteria:
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Adult intensive care unit patients with ≥1 measurement of energy expenditure by indirect calorimetry.
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| Name | Affiliation | Role |
|---|---|---|
| Martin Sundström Rehal, MD PhD | Karolinska University Hospital | Principal Investigator |
| Olav Rooyackers, PhD | Karolinska Institutet | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Royal Melbourne Hospital | Melbourne | Australia | ||||
| The Alfred |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24970271 | Background | Preiser JC, Ichai C, Orban JC, Groeneveld AB. Metabolic response to the stress of critical illness. Br J Anaesth. 2014 Dec;113(6):945-54. doi: 10.1093/bja/aeu187. Epub 2014 Jun 26. | |
| 27155770 | Background | Iwashyna TJ, Hodgson CL, Pilcher D, Bailey M, van Lint A, Chavan S, Bellomo R. Timing of onset and burden of persistent critical illness in Australia and New Zealand: a retrospective, population-based, observational study. Lancet Respir Med. 2016 Jul;4(7):566-573. doi: 10.1016/S2213-2600(16)30098-4. Epub 2016 May 4. |
| Label | URL |
|---|---|
| Reporting on length of ICU stay 2015-2019 from the Swedish ICU Registry database. | View source |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Apr 8, 2025 | Apr 9, 2025 | Prot_SAP_002.pdf |
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Kcal/kg adjusted body weight/24 hours. |
| From date of ICU admission to the date of ICU discharge or death, whichever came first, assessed up to 24 months. |
| Change in respiratory quotient over time in patients who stay in ICU for ≤10 days. | Quotient of carbon dioxide production and oxygen consumption. | From date of ICU admission to the date of ICU discharge or death, whichever came first, assessed up to 24 months. |
| Melbourne |
| Australia |
| Gelderse Vallei Hospital | Ede | Netherlands |
| Karolinska University Hospital | Huddinge | Stockholm County | 14186 | Sweden |
| Universitetssjukhuset Örebro | Örebro | Sweden |
| Capio S:t Görans Sjukhus | Stockholm | Sweden |
| Lucerne Cantonal Hospital | Lucerne | Switzerland |
| 31531715 | Background | Haines RW, Zolfaghari P, Wan Y, Pearse RM, Puthucheary Z, Prowle JR. Elevated urea-to-creatinine ratio provides a biochemical signature of muscle catabolism and persistent critical illness after major trauma. Intensive Care Med. 2019 Dec;45(12):1718-1731. doi: 10.1007/s00134-019-05760-5. Epub 2019 Sep 17. |
| 31919541 | Background | Nakamura K, Ogura K, Nakano H, Naraba H, Takahashi Y, Sonoo T, Hashimoto H, Morimura N. C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome. Intensive Care Med. 2020 Mar;46(3):437-443. doi: 10.1007/s00134-019-05851-3. Epub 2020 Jan 9. |
| 42204563 | Derived | Oosterveld T, Paulus MC, Hess B, Habel H, Johansson A, Murner N, Blaser AR, Fetterplace K, Ridley EJ, Tatucu-Babet OA, van Zanten ARH, Wanecek M, Wittholz K, Deane A, Rooyackers O, Sundstrom Rehal M. Time course of energy expenditure in persistent critical illness: a prospective multicentre study. Crit Care. 2026 May 27;30(1):273. doi: 10.1186/s13054-026-06102-w. |