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Jakobsson J, Norén C, Hagel E, Backheden M, Kalman S, Bartha E. Perioperative estimations of oxygen consumption from LiDCO™plus-derived cardiac output and Ca-cvO2 difference: Relationship with measurements by indirect calorimetry in elderly patients undergoing major abdominal surgery. PLoS One 2024; 19:e0272239. [PMID: 39052563 PMCID: PMC11271938 DOI: 10.1371/journal.pone.0272239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 06/10/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Feasible estimations of perioperative changes in oxygen consumption (VO2) could enable larger studies of its role in postoperative outcomes. Current methods, either by reverse Fick calculations using pulmonary artery catheterisation or metabolic by breathing gas analysis, are often deemed too invasive or technically requiring. In addition, reverse Fick calculations report generally lower values of oxygen consumption. METHODS We investigated the relationship between perioperative estimations of VO2 (EVO2), from LiDCO™plus-derived (LiDCO Ltd, Cambridge, UK) cardiac output and arterial-central venous oxygen content difference (Ca-cvO2), with indirect calorimetry (GVO2) by QuarkRMR (COSMED srl. Italy), using data collected 2017-2018 during a prospective observational study on perioperative oxygen transport in 20 patients >65 years during epidural and general anaesthesia for open pancreatic or liver resection surgery. Eighty-five simultaneous intra- and postoperative measurements at different perioperative stages were analysed for prediction, parallelity and by traditional agreement assessment. RESULTS Unadjusted bias between GVO2 and EVO2 indexed for body surface area was 26 (95% CI 20 to 32) with limits of agreement (1.96SD) of -32 to 85 ml min-1m-2. Correlation adjusted for the bias was moderate, intraclass coefficient(A,1) 0.51(95% CI 0.34 to 0.65) [F (84,84) = 3.07, P<0.001]. There was an overall association between GVO2 and EVO2, in a random coefficient model [GVO2 = 73(95% CI 62 to 83) + 0.45(95% CI 0.29 to 0.61) EVO2 ml min-1m-2, P<0.0001]. GVO2 and EVO2 changed in parallel intra- and postoperatively when normalised to their respective overall means. CONCLUSION Based on this data, estimations from LiDCO™plus-derived cardiac output and Ca-cvO2 are not reliable as a surrogate for perioperative VO2. Results were in line with previous studies comparing Fick-based and metabolic measurements but limited by variability of data and possible underpowering. The parallelity at different perioperative stages and the prediction model can provide useful guidance and methodological tools for future studies on similar methods in larger samples.
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Affiliation(s)
- Julia Jakobsson
- Division of Anaesthesia and Intensive Care, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Carl Norén
- Department of Anaesthesia and Intensive Care, Nyköping County Hospital, Nyköping, Sweden
| | - Eva Hagel
- Department of Learning, Information, Management and Ethics (LIME), Medical Statistics Unit, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Backheden
- Department of Learning, Information, Management and Ethics (LIME), Medical Statistics Unit, Karolinska Institutet, Stockholm, Sweden
| | - Sigridur Kalman
- Division of Anaesthesia and Intensive Care, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Erzsébet Bartha
- Division of Anaesthesia and Intensive Care, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital Huddinge, Stockholm, Sweden
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Titheradge P, Robergs R. Evaluating Airflow Sensor Methods: Precision in Indirect Calorimetry. Scand J Med Sci Sports 2024; 34:e14674. [PMID: 38895762 DOI: 10.1111/sms.14674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024]
Abstract
This study assesses the impact of three volumetric gas flow measurement methods-turbine (fT); pneumotachograph (fP), and Venturi (fV)-on predictive accuracy and precision of expired gas analysis indirect calorimetry (EGAIC) across varying exercise intensities. Six males (Age: 38 ± 8 year; Height: 178.8 ± 4.2 cm;V ̇ O 2 peak $$ \dot{V}{\mathrm{O}}_2\mathrm{peak} $$ : 42 ± 2.8 mL O2 kg-1 min-1) and 14 females (Age = 44.6 ± 9.6 year; Height = 164.6 ± 6.9 cm;V ̇ O 2 peak $$ \dot{V}{\mathrm{O}}_2\mathrm{peak} $$ = 45 ± 8.6 mL O2 kg-1 min-1) were recruited. Participants completed physical exertion on a stationary cycle ergometer for simultaneous pulmonary minute ventilation (V ̇ $$ \dot{V} $$ ) measurements and EGAIC computations. Exercise protocols and subsequent conditions involved a 5-min cycling warm-up at 25 W min-1, incremental exercise to exhaustion (V ̇ O 2 $$ \dot{V}{\mathrm{O}}_2 $$ ramp test), then a steady-state exercise bout induced by a constant Watt load equivalent to 80% ventilatory threshold (80% VT). A linear mixed model revealed that exercise intensity significantly affectedV ̇ O 2 $$ \dot{V}{\mathrm{O}}_2 $$ measurements (p < 0.0001), whereas airflow sensor method (p = 0.97) and its interaction with exercise intensity (p = 0.91) did not. Group analysis of precision yielded aV ̇ O 2 $$ \dot{V}{\mathrm{O}}_2 $$ CV % = 21%; SEM = 5 mL O2 kg-1 min-1. Intra- and interindividual analysis of precision via Bland-Altman revealed a 95% confidence interval (CI) precision benchmark of 3-5 mL kg-1 min-1. Agreement among methods decreased at power outputs elicitingV ̇ $$ \dot{V} $$ up to 150 L min-1, indicating a decrease in precision and highlighting potential challenges in interpreting biological variability, training response heterogeneity, and test-retest comparisons. These findings suggest careful consideration of airflow sensor method variance across metabolic cart configurations.
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Affiliation(s)
- Praneel Titheradge
- School of Allied Health, Exercise & Sports Sciences, Charles Sturt University, Port Macquarie, New South Wales, Australia
| | - Robert Robergs
- School of Exercise & Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
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Kwakman RCH, Voorn EL, Sommers J, Gerrits K, Nollet F, Engelbert RHH, van der Schaaf M. Metabolic load during morning care and active bed exercises in critically ill patients: An explorative study. Aust Crit Care 2024; 37:441-447. [PMID: 37286446 DOI: 10.1016/j.aucc.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND To avoid overexertion in critically ill patients, information on the physical demand, i.e., metabolic load, of daily care and active exercises is warranted. OBJECTIVE The objective of this study was toassess the metabolic load during morning care activities and active bed exercises in mechanically ventilated critically ill patients. METHODS This study incorporated an explorative observational study executed in a university hospital intensive care unit. Oxygen consumption (VO2) was measured in mechanically ventilated (≥48 h) critically ill patients during rest, routine morning care, and active bed exercises. We aimed to describe and compare VO2 in terms of absolute VO2 (mL) defined as the VO2 attributable to the activity and relative VO2 in mL per kilogram bodyweight, per minute (mL/kg/min). Additional outcomes achieved during the activity were perceived exertion, respiratory variables, and the highest VO2 values. Changes in VO2 and activity duration were tested using paired tests. RESULTS Twenty-one patients were included with a mean (standard deviation) age of 59 y (12). Median (interquartile range [IQR]) durations of morning care and active bed exercises were 26 min (21-29) and 7 min (5-12), respectively. Absolute VO2 of morning care was significantly higher than that of active bed exercises (p = 0,009). Median (IQR) relative VO2 was 2.9 (2.6-3.8) mL/kg/min during rest; 3.1 (2.8-3.7) mL/kg/min during morning care; and 3.2 (2.7-4) mL/kg/min during active bed exercises. The highest VO2 value was 4.9 (4.2-5.7) mL/kg/min during morning care and 3.7 (3.2-5.3) mL/kg/min during active bed exercises. Median (IQR) perceived exertion on the 6-20 Borg scale was 12 (10.3-14.5) during morning care (n = 8) and 13.5 (11-15) during active bed exercises (n = 6). CONCLUSION Absolute VO2 in mechanically ventilated patients may be higher during morning care than during active bed exercises due to the longer duration of the activity. Intensive care unit clinicians should be aware that daily-care activities may cause intervals of high metabolic load and high ratings of perceived exertion.
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Affiliation(s)
- Robin C H Kwakman
- Department of Rehabilitation Medicine, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, Amsterdam, the Netherlands; Faculty of Health, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Rehabilitation and Development, Amsterdam, the Netherlands.
| | - Eric L Voorn
- Department of Rehabilitation Medicine, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Rehabilitation and Development, Amsterdam, the Netherlands
| | - Juultje Sommers
- Department of Rehabilitation Medicine, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Rehabilitation and Development, Amsterdam, the Netherlands
| | - Karin Gerrits
- Amsterdam Movement Sciences, Rehabilitation and Development, Amsterdam, the Netherlands; Merem Medical Rehabilitation, Hilversum, the Netherlands; Department of Human Movement Sciences, Vrije Universiteit, Faculty of Behavioural and Movement Sciences, De Boelelaan 1105, 1081 HV Amsterdam, the Netherlands
| | - Frans Nollet
- Department of Rehabilitation Medicine, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Rehabilitation and Development, Amsterdam, the Netherlands
| | - Raoul H H Engelbert
- Department of Rehabilitation Medicine, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, Amsterdam, the Netherlands; Faculty of Health, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Rehabilitation and Development, Amsterdam, the Netherlands
| | - Marike van der Schaaf
- Department of Rehabilitation Medicine, University of Amsterdam, Amsterdam UMC, Meibergdreef 9, Amsterdam, the Netherlands; Faculty of Health, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands; Amsterdam Movement Sciences, Ageing and Vitality, Amsterdam, the Netherlands
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Jotterand Chaparro C, Pabion C, Tume L, Mehta NM, Valla FV, Moullet C. Determining energy and protein needs in critically ill pediatric patients: A scoping review. Nutr Clin Pract 2023; 38 Suppl 2:S103-S124. [PMID: 37721467 DOI: 10.1002/ncp.11060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/05/2023] [Accepted: 07/16/2023] [Indexed: 09/19/2023] Open
Abstract
INTRODUCTION In critically ill pediatric patients, optimal energy and protein intakes are associated with a decreased risk of morbidity and mortality. However, the determination of energy and protein needs is complex. The objective of this scoping review was to understand the extent and type of evidence related to the methods used to determine energy and protein needs in critically ill pediatric patients. METHODS An international expert group composed of dietitians, pediatric intensivists, a nurse, and a methodologist conducted the review, based on the Johanna Briggs Institute methodology. Two researchers searched for studies published between 2008 and 2023 in two electronic databases, screened abstracts and relevant full texts for eligibility, and extracted data. RESULTS A total of 39 studies were included, mostly conducted in critically ill children undergoing ventilation, to assess the accuracy of predictive equations for estimating resting energy expenditure (REE) (n = 16, 41%) and the impact of clinical factors (n = 22, 56%). They confirmed the risk of underestimation or overestimation of REE when using predictive equations, of which the Schofield equation was the least inaccurate. Apart from weight and age, which were positively correlated with REE, the impact of other factors was not always consistent. No new indirect calorimeter method used to determine protein needs has been validated. CONCLUSION This scoping review highlights the need for scientific data on the methods used to measure energy expenditure and determine protein needs in critically ill children. Studies using a reference method are needed to validate an indirect calorimeter.
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Affiliation(s)
- Corinne Jotterand Chaparro
- Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland
- Bureau d'Echange des Savoirs pour des praTiques exemplaires de soins (BEST): A JBI Centre of Excellence, Lausanne, Switzerland
| | - Céline Pabion
- Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland
| | - Lyvonne Tume
- Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland
- Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, UK
| | - Nilesh M Mehta
- Department of Anesthesiology, Critical Care and Pain Medicine, Division of Critical Care Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Frédéric V Valla
- Pediatric Intensive Care Unit, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Lyon, France
| | - Clémence Moullet
- Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland
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Saseedharan S, Chada RR, Kadam V, Chiluka A, Nagalla B. Energy expenditure in COVID-19 mechanically ventilated patients: A comparison of three methods of energy estimation. JPEN J Parenter Enteral Nutr 2022; 46:1875-1882. [PMID: 35526145 PMCID: PMC9348140 DOI: 10.1002/jpen.2393] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 05/02/2022] [Accepted: 05/05/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND Indirect calorimetry (IC) is the gold standard for measuring resting energy expenditure. Energy expenditure (EE) estimated by ventilator-derived carbon dioxide consumption (EEVCO2 ) has also been proposed. In the absence of IC, predictive weight-based equations have been recommended to estimate daily energy requirements. This study aims to compare simple predictive weight-based equations with those estimated by EEVCO2 and IC in mechanically ventilated patients of COVID-19. METHODS Retrospective study of a cohort of critically ill adult patients with COVID-19 requiring mechanical ventilation and artificial nutrition to compare energy estimations by three methods through the calculation of bias and precision agreement, reliability, and accuracy rates. RESULTS In 58 mechanically ventilated patients, a total of 117 paired measurements were obtained. The mean estimated energy derived from weight-based calculations was 2576 ± 469 kcal/24 h, as compared with 1507 ± 499 kcal/24 h when EE was estimated by IC, resulting in a significant bias of 1069 kcal/day (95% CI [-2158 to 18.7 kcal]; P < 0.001). Similarly, estimated mean EEVCO2 was 1388 ± 467 kcal/24 h when compared with estimation of EE from IC. A significant bias of only 118 kcal/day (95% CI [-187 to 422 kcal]; P < 0.001), compared by the Bland-Altman plot, was noted. CONCLUSION The energy estimated with EEVCO2 correlated better with IC values than energy derived from weight-based calculations. Our data suggest that the use of simple predictive equations may potentially lead to overfeeding in mechanically ventilated patients with COVID-19.
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Affiliation(s)
- Sanjith Saseedharan
- Department of Intensive CareS L Raheja Hospital‐A Fortis AssociateMumbaiMaharashtraIndia
| | - Radha Reddy Chada
- Department of Clinical Nutrition and DieteticsAIG HospitalsHyderabadTelanganaIndia
| | - Vaijayanti Kadam
- Department of Intensive CareS L Raheja Hospital‐A Fortis AssociateMumbaiMaharashtraIndia
| | - Annapurna Chiluka
- Department of Intensive CareS L Raheja Hospital‐A Fortis AssociateMumbaiMaharashtraIndia
| | - Balakrishna Nagalla
- Department of StatisticsApollo Hospitals Educational And Research FoundationHyderabadTelanganaIndia
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Whitehead J, Summers MJ, Louis R, Weinel LM, Lange K, Dunn B, Chapman MJ, Chapple LAS. Assessment of physiological barriers to nutrition following critical illness. Clin Nutr 2021; 41:11-20. [PMID: 34861624 DOI: 10.1016/j.clnu.2021.11.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/26/2021] [Accepted: 11/01/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND & AIMS Nutrition may be important for recovery from critical illness. Gastrointestinal dysfunction is a key barrier to nutrition delivery in the Intensive Care Unit (ICU) and metabolic rate is elevated exacerbating nutritional deficits. Whether these factors persist following ICU discharge is unknown. We assessed whether delayed gastric emptying (GE) and impaired glucose absorption persist post-ICU discharge. METHODS A prospective observational study was conducted in mechanically ventilated adults at 3 time-points: in ICU (V1); on the post-ICU ward (V2); and 3-months after ICU discharge (V3); and compared to age-matched healthy volunteers. On each visit, all participants received a test-meal containing 100 ml of 1 kcal/ml liquid nutrient, labelled with 0.1 g 13C-octanoic acid and 3 g 3-O-Methyl-glucose (3-OMG), and breath and blood samples were collected over 240min to quantify GE (gastric emptying coefficient (GEC)), and glucose absorption (3-OMG concentration; area under the curve (AUC)). Data are mean ± standard error of the mean (SEM) and differences shown with 95% confidence intervals (95%CI). RESULTS Twenty-six critically ill patients completed V1 (M:F 20:6; 62.0 ± 2.9 y; BMI 29.8 ± 1.2 kg/m2; APACHE II 19.7 ± 1.9), 15 completed V2 and eight completed V3; and were compared to 10 healthy volunteers (M:F 6:4; 60.5 ± 7.5 y; BMI 26.0 ± 1.0 kg/m2). GE was significantly slower on V1 compared to health (GEC difference: -0.96 (95%CI -1.61, -0.31); and compared to V2 (-0.73 (-1.16, -0.31) and V3 (-1.03 (-1.47, -0.59). GE at V2 and V3 were not different to that in health (V2: -0.23 (-0.61, 0.14); V3: 0.10 (-0.27, 0.46)). GEC: V1: 2.64 ± 0.19; V2: 3.37 ± 0.12; V3: 3.67 ± 0.10; health: 3.60 ± 0.13. Glucose absorption (3-OMG AUC0-240) was impaired on V1 compared to V2 (-37.9 (-64.2, -11.6)), and faster on V3 than in health (21.8 (0.14, 43.4) but absorption at V2 and V3 did not differ from health. Intestinal glucose absorption: V1: 63.8 ± 10.4; V2: 101.7 ± 7.0; V3: 111.9 ± 9.7; health: 90.7 ± 3.8. CONCLUSION This study suggests that delayed GE and impaired intestinal glucose absorption recovers rapidly post-ICU. This requires further confirmation in a larger population. The REINSTATE trial was prospectively registered at www.anzctr.org.au. TRIAL ID ACTRN12618000370202.
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Affiliation(s)
- James Whitehead
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Matthew J Summers
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
| | - Rhea Louis
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
| | - Luke M Weinel
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
| | - Kylie Lange
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
| | - Bethany Dunn
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
| | - Marianne J Chapman
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia; Intensive Care Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Lee-Anne S Chapple
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Centre of Research Excellence in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia; Intensive Care Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
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Peri-operative oxygen consumption revisited: An observational study in elderly patients undergoing major abdominal surgery. Eur J Anaesthesiol 2021; 38:4-12. [PMID: 32858583 DOI: 10.1097/eja.0000000000001302] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Monitoring oxygen consumption (VO2) is neither recommended nor included in peri-operative haemodynamic algorithms aiming at optimising oxygen delivery (DO2) in major abdominal surgery. Estimates of peri-operative VO2 changes are uncertain in earlier publications and have limited generalisability in the current high-risk surgical population. In a prospective non-interventional observational study in elderly patients undergoing major abdominal procedures, we investigated the change of VO2 after induction of anaesthesia and secondarily, the further changes during and after surgery in relation to DO2 and estimated oxygen extraction ratio (O2ER) by routine monitoring. METHODS VO2 was determined by indirect calorimetry (QuarkRMR) in 20 patients more than 65 years (ASA II to IV), scheduled for elective open upper abdominal surgery with combined epidural and general anaesthesia. Data were collected during 20-minute periods pre-operatively and after anaesthesia induction, with subsequent measurements during surgery and postoperatively. Simultaneously, DO2 was monitored using LiDCOplus. The O2ER was estimated from arterial-central venous oxygen content calculation. Mixed models were used to analyse the peri-operative changes. RESULTS VO2 decreased after induction of anaesthesia by a mean of 34% (95% CI, 28 to 39). After 2 h of surgery, VO2 was reduced by 24% (95% CI, 20 to 27) compared with the awake baseline measurements. Pre-operative mean DO2 was 440 (95% CI, 396 to 483) ml min m and decreased by a mean of 37% (95% CI, 30 to 43) during anaesthesia. The estimated O2ER did not change intra-operatively 0.24 (95% CI, 0.21 to 0.26) but increased postoperatively to 0.31 (95% CI, 0.27 to 0.36). The changes of VO2 were parallel with changes of DO2 and O2ER in the intra-operative period. CONCLUSION General anaesthesia reduced VO2 by approximately a third in elderly patients undergoing major abdominal surgery. Parallel changes of intra-operative VO2 and delivery were demonstrated while oxygen extraction was low. The relevance of these changes needs further assessment in relation to outcomes and haemodynamic interventions. TRIAL REGISTRATION Clinicaltrials.gov NCT03355118.
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Ma DS, Lee GJ. Comparison of Resting Energy Expenditure Using Indirect Calorimetry and Predictive Equations in Trauma Patients: A Pilot Study. JOURNAL OF TRAUMA AND INJURY 2021. [DOI: 10.20408/jti.2021.0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Nachmani M, Lahav Y, Zeev A, Grosman-Rimon L, Eilat-Adar S. Weight change adjusted equations for assessing resting metabolic rate in overweight and obese adults. Obes Res Clin Pract 2021; 15:221-226. [PMID: 33773945 DOI: 10.1016/j.orcp.2021.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 02/05/2021] [Accepted: 03/01/2021] [Indexed: 02/01/2023]
Abstract
BACKGROUND Although over one hundred equations have been developed to predict the energy expenditure of individuals, none are sensitive to weight change in assessment of resting metabolic rate (RMR) before and after weight loss. OBJECTIVE To formulate adjusted equations for overweight and obese individuals and to compare their accuracy with existing prediction RMR equations before and after weight loss. SUBJECTS/MATERIALS This is historical prospective study. Participants included 39 overweight and obese men and women before and after losing 10-20% from baseline weight on a diet and physical activity regimen for at least three months. Pre and post weight loss measured RMR results were compared to estimated RMR using several existing prediction equations: Harris and Benedict, Ravussin and Bogardus, and Mifflin et al. To improve the accuracy of these prediction equations, we suggest new equations adjusted for weight loss, based on measured RMR and evaluated their accuracy. RESULTS Pre and post weight loss data indicated: significant fat reduction in both genders; reduction in free-fat mass only in men, and a significant decrease in measured RMR only in women. Our suggested equations were the most accurate and closest to measured RMR in both genders, in comparison to the Harris and Benedict, Ravussin and Bogardus, and Mifflin et al equation results. Estimated RMR using the latter equations was significantly lower than measured RMR in both genders at pre and post weight loss (P < 0.01). CONCLUSIONS This study highlights the need for adjusting RMR equations before and after weight loss in overweight and obese individuals. Further research is needed to validate our suggested equations.
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Affiliation(s)
- Moran Nachmani
- Graduate School, The Academic College at Wingate, The Wingate Institute, Netanya, Israel
| | - Yair Lahav
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine and Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv, Israel
| | - Aviva Zeev
- Graduate School, The Academic College at Wingate, The Wingate Institute, Netanya, Israel
| | - Liza Grosman-Rimon
- Graduate School, The Academic College at Wingate, The Wingate Institute, Netanya, Israel; Cardiovascular Department and Research Center, Baruch Padeh Medical Center, Poriya, Tiberias, Israel
| | - Sigal Eilat-Adar
- Graduate School, The Academic College at Wingate, The Wingate Institute, Netanya, Israel.
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Felder M, Maushart CI, Gashi G, Senn JR, Becker AS, Müller J, Balaz M, Wolfrum C, Burger IA, Betz MJ. Fluvastatin Reduces Glucose Tolerance in Healthy Young Individuals Independently of Cold Induced BAT Activity. Front Endocrinol (Lausanne) 2021; 12:765807. [PMID: 34858338 PMCID: PMC8631514 DOI: 10.3389/fendo.2021.765807] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 10/14/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Statins are commonly prescribed for primary and secondary prevention of atherosclerotic disease. They reduce cholesterol biosynthesis by inhibiting hydroxymethylglutaryl-coenzyme A-reductase (HMG-CoA-reductase) and therefore mevalonate synthesis. Several studies reported a small, but significant increase in the diagnosis of diabetes mellitus with statin treatment. The molecular mechanisms behind this adverse effect are not yet fully understood. Brown adipose tissue (BAT), which plays a role in thermogenesis, has been associated with a reduced risk of insulin resistance. Statins inhibit adipose tissue browning and have been negatively linked to the presence of BAT in humans. We therefore speculated that inhibition of BAT by statins contributes to increased insulin resistance in humans. METHODS A prospective study was conducted in 17 young, healthy men. After screening whether significant cold-induced thermogenesis (CIT) was present, participants underwent glucose tolerance testing (oGTT) and assessment of BAT activity by FDG-PET/MRI after cold-exposure and treatment with a β3-agonist. Fluvastatin 2x40mg per day was then administered for two weeks and oGTT and FDG-PET/MRI were repeated. RESULTS Two weeks of fluvastatin treatment led to a significant increase in glucose area under the curve (AUC) during oGTT (p=0.02), reduction in total cholesterol and LDL cholesterol (both p<0.0001). Insulin AUC (p=0.26), resting energy expenditure (REE) (p=0.44) and diet induced thermogenesis (DIT) (p=0.27) did not change significantly. The Matsuda index, as an indicator of insulin sensitivity, was lower after fluvastatin intake, but the difference was not statistically significant (p=0.09). As parameters of BAT activity, mean standard uptake value (SUVmean) (p=0.12), volume (p=0.49) and total glycolysis (p=0.74) did not change significantly during the intervention. Matsuda index, was inversely related to SUVmean and the respiratory exchange ratio (RER) (both R2 = 0.44, p=0.005) at baseline, but not after administration of fluvastatin (R2 = 0.08, p=0.29, and R2 = 0.14, p=0.16, respectively). CONCLUSIONS Treatment with fluvastatin for two weeks reduced serum lipid levels but increased glucose AUC in young, healthy men, indicating reduced glucose tolerance. This was not associated with changes in cold-induced BAT activity.
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Affiliation(s)
- Martina Felder
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Claudia Irene Maushart
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Gani Gashi
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jaël Rut Senn
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Anton S. Becker
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich/University of Zurich, Zurich, Switzerland
| | - Julian Müller
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich/University of Zurich, Zurich, Switzerland
| | - Miroslav Balaz
- Institute of Food, Nutrition and Health, ETH Zurich, Zurich, Switzerland
| | - Christian Wolfrum
- Institute of Food, Nutrition and Health, ETH Zurich, Zurich, Switzerland
| | - Irene A. Burger
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich/University of Zurich, Zurich, Switzerland
| | - Matthias Johannes Betz
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Basel and University of Basel, Basel, Switzerland
- *Correspondence: Matthias Johannes Betz,
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11
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Koekkoek W, Xiaochen G, van Dijk D, van Zanten A. Resting energy expenditure by indirect calorimetry versus the ventilator-VCO2 derived method in critically ill patients: The DREAM-VCO2 prospective comparative study. Clin Nutr ESPEN 2020; 39:137-143. [DOI: 10.1016/j.clnesp.2020.07.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 07/10/2020] [Indexed: 01/17/2023]
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12
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Elke G, Hartl WH, Kreymann KG, Adolph M, Felbinger TW, Graf T, de Heer G, Heller AR, Kampa U, Mayer K, Muhl E, Niemann B, Rümelin A, Steiner S, Stoppe C, Weimann A, Bischoff SC. Clinical Nutrition in Critical Care Medicine - Guideline of the German Society for Nutritional Medicine (DGEM). Clin Nutr ESPEN 2019; 33:220-275. [PMID: 31451265 DOI: 10.1016/j.clnesp.2019.05.002] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 05/03/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE Enteral and parenteral nutrition of adult critically ill patients varies in terms of the route of nutrient delivery, the amount and composition of macro- and micronutrients, and the choice of specific, immune-modulating substrates. Variations of clinical nutrition may affect clinical outcomes. The present guideline provides clinicians with updated consensus-based recommendations for clinical nutrition in adult critically ill patients who suffer from at least one acute organ dysfunction requiring specific drug therapy and/or a mechanical support device (e.g., mechanical ventilation) to maintain organ function. METHODS The former guidelines of the German Society for Nutritional Medicine (DGEM) were updated according to the current instructions of the Association of the Scientific Medical Societies in Germany (AWMF) valid for a S2k-guideline. According to the S2k-guideline classification, no systematic review of the available evidence was required to make recommendations, which, therefore, do not state evidence- or recommendation grades. Nevertheless, we considered and commented the evidence from randomized-controlled trials, meta-analyses and observational studies with adequate sample size and high methodological quality (until May 2018) as well as from currently valid guidelines of other societies. The liability of each recommendation was described linguistically. Each recommendation was finally validated and consented through a Delphi process. RESULTS In the introduction the guideline describes a) the pathophysiological consequences of critical illness possibly affecting metabolism and nutrition of critically ill patients, b) potential definitions for different disease phases during the course of illness, and c) methodological shortcomings of clinical trials on nutrition. Then, we make 69 consented recommendations for essential, practice-relevant elements of clinical nutrition in critically ill patients. Among others, recommendations include the assessment of nutrition status, the indication for clinical nutrition, the timing and route of nutrient delivery, and the amount and composition of substrates (macro- and micronutrients); furthermore, we discuss distinctive aspects of nutrition therapy in obese critically ill patients and those treated with extracorporeal support devices. CONCLUSION The current guideline provides clinicians with up-to-date recommendations for enteral and parenteral nutrition of adult critically ill patients who suffer from at least one acute organ dysfunction requiring specific drug therapy and/or a mechanical support device (e.g., mechanical ventilation) to maintain organ function. The period of validity of the guideline is approximately fixed at five years (2018-2023).
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Affiliation(s)
- Gunnar Elke
- Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, Haus 12, 24105, Kiel, Germany.
| | - Wolfgang H Hartl
- Department of Surgery, University School of Medicine, Grosshadern Campus, Ludwig-Maximilian University, Marchioninistr. 15, 81377 Munich, Germany.
| | | | - Michael Adolph
- University Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany.
| | - Thomas W Felbinger
- Department of Anesthesiology, Critical Care and Pain Medicine, Neuperlach and Harlaching Medical Center, The Munich Municipal Hospitals Ltd, Oskar-Maria-Graf-Ring 51, 81737, Munich, Germany.
| | - Tobias Graf
- Medical Clinic II, University Heart Center Lübeck, University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
| | - Geraldine de Heer
- Center for Anesthesiology and Intensive Care Medicine, Clinic for Intensive Care Medicine, University Hospital Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Axel R Heller
- Clinic for Anesthesiology and Surgical Intensive Care Medicine, University of Augsburg, Stenglinstrasse 2, 86156, Augsburg, Germany.
| | - Ulrich Kampa
- Clinic for Anesthesiology, Lutheran Hospital Hattingen, Bredenscheider Strasse 54, 45525, Hattingen, Germany.
| | - Konstantin Mayer
- Department of Internal Medicine, Justus-Liebig University Giessen, University of Giessen and Marburg Lung Center, Klinikstr. 36, 35392, Gießen, Germany.
| | - Elke Muhl
- Eichhörnchenweg 7, 23627, Gross Grönau, Germany.
| | - Bernd Niemann
- Department of Adult and Pediatric Cardiovascular Surgery, Giessen University Hospital, Rudolf-Buchheim-Str. 7, 35392, Gießen, Germany.
| | - Andreas Rümelin
- Clinic for Anesthesia and Surgical Intensive Care Medicine, HELIOS St. Elisabeth Hospital Bad Kissingen, Kissinger Straße 150, 97688, Bad Kissingen, Germany.
| | - Stephan Steiner
- Department of Cardiology, Pneumology and Intensive Care Medicine, St Vincenz Hospital Limburg, Auf dem Schafsberg, 65549, Limburg, Germany.
| | - Christian Stoppe
- Department of Intensive Care Medicine and Intermediate Care, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.
| | - Arved Weimann
- Department of General, Visceral and Oncological Surgery, Klinikum St. Georg, Delitzscher Straße 141, 04129, Leipzig, Germany.
| | - Stephan C Bischoff
- Department for Nutritional Medicine, University of Hohenheim, Fruwirthstr. 12, 70599, Stuttgart, Germany.
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13
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Jakobsson J, Vadman S, Hagel E, Kalman S, Bartha E. The effects of general anaesthesia on oxygen consumption: A meta-analysis guiding future studies on perioperative oxygen transport. Acta Anaesthesiol Scand 2019; 63:144-153. [PMID: 30238445 DOI: 10.1111/aas.13265] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 08/09/2018] [Accepted: 08/29/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND Increased oxygen extraction, the ratio of consumption to delivery, has been associated with poor outcome after surgery. Oxygen consumption (VO2) can change in several ways in the perioperative period, but is seldom monitored directly in routine care. This study investigates the effects of general anaesthesia on VO2. METHODS We searched PubMed, EMBASE, and Cochrane Library 1946-2018 for studies including VO2 measurements before and after anaesthesia induction. Quality was assessed by Cochrane risk of bias tool and NIH Quality Assessment tool for before-and-after studies. Changes in VO2 after anaesthesia induction were pooled in a random effects model meta-analysis with standardized mean differences transformed to absolute changes of VO2. Changes in VO2 after surgical incision and after recovery from anaesthesia were analysed as secondary outcomes in the included studies. RESULTS Twenty-four studies including 453 patients were analysed for VO2 changes induced by anaesthesia. Studies were published during 1969-2000 and mean age of patients ranged 28-70 years. VO2 decreased after anaesthesia induction by -65 (-75; -55, 95% CI) mL min-1 and indexed VO2 (VO2I) by -33 (-38; -28, 95% CI) mL min-1 m-2 . After surgical incision and in the post-operative period VO2 increased again. Heterogeneity was considerable among the studies and the overall quality of evidence was very low. CONCLUSIONS General anaesthesia probably reduces oxygen consumption but the effect estimate is uncertain. Given the limited generalizability and low quality of the available evidence, new studies in modern perioperative settings and in today's older high-risk surgical patient populations are needed.
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Affiliation(s)
- Julia Jakobsson
- Division of Anaesthesia and Intensive Care; Department of Clinical Science, Intervention and Technology (CLINTEC); Karolinska Institutet; Stockholm Sweden
- Perioperative Medicine and Intensive Care; Karolinska University Hospital Huddinge; Stockholm Sweden
| | - Sofia Vadman
- Division of Anaesthesia and Intensive Care; Department of Clinical Science, Intervention and Technology (CLINTEC); Karolinska Institutet; Stockholm Sweden
- Östersund Hospital; Region Jämtland Härjedalen; Östersund Sweden
| | - Eva Hagel
- Medical Statistics Unit; Department of Learning, Information, Management and Ethics (LIME); Karolinska Institutet; Stockholm Sweden
| | - Sigridur Kalman
- Division of Anaesthesia and Intensive Care; Department of Clinical Science, Intervention and Technology (CLINTEC); Karolinska Institutet; Stockholm Sweden
- Perioperative Medicine and Intensive Care; Karolinska University Hospital Huddinge; Stockholm Sweden
| | - Erzsébet Bartha
- Division of Anaesthesia and Intensive Care; Department of Clinical Science, Intervention and Technology (CLINTEC); Karolinska Institutet; Stockholm Sweden
- Perioperative Medicine and Intensive Care; Karolinska University Hospital Huddinge; Stockholm Sweden
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14
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Efremov SM, Talaban VO, Ponomarev DN, Vedernikov PE, Chechenin MG, Artemieva VV, Lomivorotov VV. Development and Validation of a New Cardio-Specific Resting Energy Expenditure Equation for Adults. JPEN J Parenter Enteral Nutr 2017; 42:702-708. [PMID: 28575581 DOI: 10.1177/0148607117711648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 05/03/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND This study tested the accuracy of resting energy expenditure (REE) equations among patients who underwent cardiopulmonary bypass and developed/validated a more accurate cardio-specific equation (CSE). MATERIALS AND METHODS Prospective observational cohort of 240 adults (derivation data set, 170 patients; validation data set, 70 patients). REEs were calculated with 6 equations-Penn State 2003a, Penn State 2003b, Ireton-Jones, Swinamer, Faisy, and American College of Chest Physicians-and results were compared with indirect calorimetry (IC). Multivariable linear regression analysis was used to develop the CSE. Agreement between measured and calculated REEs was assessed with Lin's concordance correlation coefficient (LCCC), Bland-Altman plot, and regression analysis. RESULTS LCCCs present poor agreement between measured and calculated REEs: 0.24 (95% CI, 0.19-0.29), for the Faisy equation; 0.15 (95% CI, 0.1-0.19), Ireton-Jones; 0.31 (95% CI, 0.25-0.37), Swinamer; 0.17 (95% CI, 0.13-0.21), Penn State 2003a; 0.19 (95% CI, 0.14-0.23), Penn State 2003b; and 0.11 (95% CI, 0.07-0.15), American College of Chest Physicians. Based on the derivation data set, REEs are explained by the following equation: CSE = 616 - 8 × age in years + 13 × weight in kilograms + 450 if on ventilator + 159 × MV in liters + 145 if on inotropes. Based on the validation study results, the LCCC between IC and the CSE was 0.82 (95% CI, 0.73-0.88). CONCLUSION The CSE has adequate precision and could be used for REE estimation for patients undergoing cardiopulmonary bypass if IC is unavailable.
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15
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Allingstrup MJ, Kondrup J, Wiis J, Claudius C, Pedersen UG, Hein-Rasmussen R, Bjerregaard MR, Steensen M, Jensen TH, Lange T, Madsen MB, Møller MH, Perner A. 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 Med 2017; 43:1637-1647. [PMID: 28936712 DOI: 10.1007/s00134-017-4880-3] [Citation(s) in RCA: 181] [Impact Index Per Article: 25.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 06/27/2017] [Indexed: 02/08/2023]
Abstract
PURPOSE We assessed the effects of early goal-directed nutrition (EGDN) vs. standard nutritional care in adult intensive care unit (ICU) patients. METHODS We randomised acutely admitted, mechanically ventilated ICU patients expected to stay longer than 3 days in the ICU. In the EGDN group we estimated nutritional requirements by indirect calorimetry and 24-h urinary urea aiming at covering 100% of requirements from the first full trial day using enteral and parenteral nutrition. In the standard of care group we aimed at providing 25 kcal/kg/day by enteral nutrition. If this was not met by day 7, patients were supplemented with parenteral nutrition. The primary outcome was physical component summary (PCS) score of SF-36 at 6 months. We performed multiple imputation for data of the non-responders. RESULTS We randomised 203 patients and included 199 in the intention-to-treat analyses; baseline variables were reasonably balanced between the two groups. The EGDN group had less negative energy (p < 0.001) and protein (p < 0.001) balances in the ICU as compared to the standard of care group. The PCS score at 6 months did not differ between the two groups (mean difference 0.0, 95% CI -5.9 to 5.8, p = 0.99); neither did mortality, rates of organ failures, serious adverse reactions or infections in the ICU, length of ICU or hospital stay, or days alive without life support at 90 days. CONCLUSIONS EGDN did not appear to affect physical quality of life at 6 months or other important outcomes as compared to standard nutrition care in acutely admitted, mechanically ventilated, adult ICU patients. Clinicaltrials.gov identifier no. NCT01372176.
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Affiliation(s)
- Matilde Jo Allingstrup
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Jens Kondrup
- Department of Clinical Nutrition, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Jørgen Wiis
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Casper Claudius
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Ulf Gøttrup Pedersen
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Rikke Hein-Rasmussen
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Mads Rye Bjerregaard
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Morten Steensen
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Tom Hartvig Jensen
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Centre for Statistical Science, Peking University, Beijing, China
| | - Martin Bruun Madsen
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Morten Hylander Møller
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
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16
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Rohde U, Federspiel CA, Vilmann P, Langholz E, Friis SU, Krakauer M, Rehfeld JF, Holst JJ, Vilsbøll T, Knop FK. The impact of EndoBarrier gastrointestinal liner in obese patients with normal glucose tolerance and in patients with type 2 diabetes. Diabetes Obes Metab 2017; 19:189-199. [PMID: 27696668 DOI: 10.1111/dom.12800] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Revised: 09/20/2016] [Accepted: 09/27/2016] [Indexed: 12/31/2022]
Abstract
AIMS The duodenal-jejunal bypass sleeve ((DJBS) or EndoBarrier Gastrointestinal Liner) induces weight loss in obese subjects and may improve glucose homeostasis in patients with type 2 diabetes (T2D). To explore the underlying mechanisms, we evaluated postprandial physiology including glucose metabolism, gut hormone secretion, gallbladder emptying, appetite and food intake in patients undergoing DJBS treatment. MATERIAL AND METHODS A total of 10 normal glucose-tolerant (NGT) obese subjects and 9 age-, body weight- and body mass index-matched metformin-treated T2D patients underwent a liquid mixed meal test and a subsequent ad libitum meal test before implantation with DJBS and 1 week (1w) and 26 weeks (26w) after implantation. RESULTS At 26w, both groups had achieved a weight loss of 6 to 7 kg. Postprandial glucagon-like peptide-1 (GLP-1) and peptide YY responses increased at 1w and 26w, but only in T2D subjects. In contrast, glucose-dependent insulinotropic polypeptide responses were reduced only by DJBS in the NGT group. Postprandial glucose, insulin, C-peptide, glucagon, cholecystokinin and gastrin responses were unaffected by DJBS in both groups. Satiety and fullness sensations were stronger and food intake was reduced at 1w in NGT subjects; no changes in appetite measures or food intake were observed in the T2D group. No effect of DJBS on postprandial gallbladder emptying was observed, and gastric emptying was not delayed. CONCLUSIONS DJBS-induced weight loss was associated with only marginal changes in postprandial physiology, which may explain the absence of effect on postprandial glucose metabolism.
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Affiliation(s)
- Ulrich Rohde
- Center for Diabetes Research, Department of Medicine, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie A Federspiel
- Center for Diabetes Research, Department of Medicine, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Peter Vilmann
- GastroUnit, Department of Surgery, Herlev Hospital, University of Copenhagen, Herlev, Denmark
| | - Ebbe Langholz
- Department of Medicine, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Steffen U Friis
- Department of Medicine, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Martin Krakauer
- Department of Clinical Physiology and Nuclear Medicine, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Jens F Rehfeld
- Department of Clinical Biochemistry, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jens J Holst
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tina Vilsbøll
- Center for Diabetes Research, Department of Medicine, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Filip K Knop
- Center for Diabetes Research, Department of Medicine, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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