Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive Equations
Actual energy needs after a stay in intensive care units (ICUs) are unknown. The aims of this observational study were to measure the energy expenditure (mEE) of ICU survivors during their post-ICU hospitalization period, and to compare this to the estimations of predictive equations (eEE). Survivor...
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MDPI AG
2022-09-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/14/19/3981 |
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| author | Anne-Françoise Rousseau Marjorie Fadeur Camille Colson Benoit Misset |
| author_facet | Anne-Françoise Rousseau Marjorie Fadeur Camille Colson Benoit Misset |
| author_sort | Anne-Françoise Rousseau |
| collection | DOAJ |
| description | Actual energy needs after a stay in intensive care units (ICUs) are unknown. The aims of this observational study were to measure the energy expenditure (mEE) of ICU survivors during their post-ICU hospitalization period, and to compare this to the estimations of predictive equations (eEE). Survivors of an ICU stay ≥ 7 days were enrolled in the general ward during the first 7 days after ICU discharge. EE was measured using the Q-NRG calorimeter in canopy mode. This measure was compared to the estimated EE using the Harris–Benedict (HB) equation multiplied by a 1.3 stress factor, the Penn–State (PS) equation or the 30 kcal weight-based (WB) equation. A total of 55 adults were included (67.3% male, age 60 (52–67) y, body mass index 26.1 (22.2–29.7) kg/m<sup>2</sup>). Indirect calorimetry was performed 4 (3–6) d after an ICU stay of 12 (7–16) d. The mEE was 1682 (1328–1975) kcal/d, corresponding to 22.9 (19.1–24.2) kcal/kg/day. The eEE values derived using HB and WB equations were significantly higher than mEE: 3048 (1805–3332) and 2220 (1890–2640) kcal/d, respectively (both <i>p</i> < 0.001). There was no significant difference between mEE and eEE using the PS equation: 1589 (1443–1809) kcal/d (<i>p</i> = 0.145). The PS equation tended to underestimate mEE with a bias of −61.88 kcal and a wide 95% limit of agreement (−717.8 to 594 kcal). Using the PS equation, agreement within 15% of the mEE was found in 32/55 (58.2%) of the patients. In the present cohort of patients who survived a prolonged ICU stay, mEE was around 22–23 kcal/kg/day. In this post-ICU hospitalization context, none of the tested equations were accurate in predicting the EE measured by indirect calorimetry. |
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| language | English |
| last_indexed | 2024-03-09T21:20:06Z |
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| spelling | doaj.art-af9b48b1019e4dc0803d2df0189ef9fd2023-11-23T21:23:34ZengMDPI AGNutrients2072-66432022-09-011419398110.3390/nu14193981Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive EquationsAnne-Françoise Rousseau0Marjorie Fadeur1Camille Colson2Benoit Misset3Department of Intensive Care, University Hospital of Liège, University of Liège, 4000 Liège, BelgiumMultidisciplinary Nutrition Team, University Hospital of Liège, 4000 Liège, BelgiumDepartment of Intensive Care, University Hospital of Liège, University of Liège, 4000 Liège, BelgiumDepartment of Intensive Care, University Hospital of Liège, University of Liège, 4000 Liège, BelgiumActual energy needs after a stay in intensive care units (ICUs) are unknown. The aims of this observational study were to measure the energy expenditure (mEE) of ICU survivors during their post-ICU hospitalization period, and to compare this to the estimations of predictive equations (eEE). Survivors of an ICU stay ≥ 7 days were enrolled in the general ward during the first 7 days after ICU discharge. EE was measured using the Q-NRG calorimeter in canopy mode. This measure was compared to the estimated EE using the Harris–Benedict (HB) equation multiplied by a 1.3 stress factor, the Penn–State (PS) equation or the 30 kcal weight-based (WB) equation. A total of 55 adults were included (67.3% male, age 60 (52–67) y, body mass index 26.1 (22.2–29.7) kg/m<sup>2</sup>). Indirect calorimetry was performed 4 (3–6) d after an ICU stay of 12 (7–16) d. The mEE was 1682 (1328–1975) kcal/d, corresponding to 22.9 (19.1–24.2) kcal/kg/day. The eEE values derived using HB and WB equations were significantly higher than mEE: 3048 (1805–3332) and 2220 (1890–2640) kcal/d, respectively (both <i>p</i> < 0.001). There was no significant difference between mEE and eEE using the PS equation: 1589 (1443–1809) kcal/d (<i>p</i> = 0.145). The PS equation tended to underestimate mEE with a bias of −61.88 kcal and a wide 95% limit of agreement (−717.8 to 594 kcal). Using the PS equation, agreement within 15% of the mEE was found in 32/55 (58.2%) of the patients. In the present cohort of patients who survived a prolonged ICU stay, mEE was around 22–23 kcal/kg/day. In this post-ICU hospitalization context, none of the tested equations were accurate in predicting the EE measured by indirect calorimetry.https://www.mdpi.com/2072-6643/14/19/3981nutritioncritical careindirect calorimetryresting energy expendituresurvivors |
| spellingShingle | Anne-Françoise Rousseau Marjorie Fadeur Camille Colson Benoit Misset Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive Equations Nutrients nutrition critical care indirect calorimetry resting energy expenditure survivors |
| title | Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive Equations |
| title_full | Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive Equations |
| title_fullStr | Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive Equations |
| title_full_unstemmed | Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive Equations |
| title_short | Measured Energy Expenditure Using Indirect Calorimetry in Post-Intensive Care Unit Hospitalized Survivors: A Comparison with Predictive Equations |
| title_sort | measured energy expenditure using indirect calorimetry in post intensive care unit hospitalized survivors a comparison with predictive equations |
| topic | nutrition critical care indirect calorimetry resting energy expenditure survivors |
| url | https://www.mdpi.com/2072-6643/14/19/3981 |
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