Literature DB >> 9660262

Comparison of measured and predicted energy expenditure in mechanically ventilated children.

J J Verhoeven1, J A Hazelzet, E van der Voort, K F Joosten.   

Abstract

OBJECTIVE: To determine the energy requirements in mechanically ventilated pediatric patients using indirect calorimetry and to compare the results with the predicted metabolic rate.
DESIGN: In 50 mechanically ventilated children with a moderate severity of illness, energy expenditure was measured by indirect calorimetry. Daily caloric intake was recorded for all patients. Total urinary nitrogen excretion was determined in 31 patients.
RESULTS: Although there was a close correlation between the measured total energy expenditure (mTEE) and the predicted basal metabolic rate (pBMR) (r = 0.93, p < 0.001), Bland-Altman analysis showed lack of agreement between individual mTEE and pBMR values. The ratio of caloric intake/mTEE was significantly higher in the patients with a positive nitrogen balance (1.4 +/- 0.07) compared with those with a negative nitrogen balance (0.8 +/- 0.1; p < 0.001).
CONCLUSIONS: Standard prediction equations are not appropriate to calculate the energy needs of critically ill, mechanically ventilated children. Individual measurements of energy expenditure and respiratory quotient by means of indirect calorimetry in combination with nitrogen balance are necessary for matching adequate nutritional support.

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Year:  1998        PMID: 9660262     DOI: 10.1007/s001340050597

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  9 in total

1.  Why indirect calorimetry in critically ill patients: what do we want to measure?

Authors:  K F Joosten
Journal:  Intensive Care Med       Date:  2001-07       Impact factor: 17.440

2.  Energy imbalance and the risk of overfeeding in critically ill children.

Authors:  Nilesh M Mehta; Lori J Bechard; Melanie Dolan; Katelyn Ariagno; Hongyu Jiang; Christopher Duggan
Journal:  Pediatr Crit Care Med       Date:  2011-07       Impact factor: 3.624

Review 3.  Nutritional management in the critically ill child with acute kidney injury: a review.

Authors:  Sidharth Kumar Sethi; Norma Maxvold; Timothy Bunchman; Pranaw Jha; Vijay Kher; Rupesh Raina
Journal:  Pediatr Nephrol       Date:  2016-06-20       Impact factor: 3.714

4.  Transpyloric enteral nutrition in the critically ill child with renal failure.

Authors:  Jesús López-Herce; César Sánchez; Angel Carrillo; Santiago Mencía; Maria José Santiago; Amaya Bustinza; Dolores Vigil
Journal:  Intensive Care Med       Date:  2006-07-07       Impact factor: 17.440

5.  Chinese guidelines for the assessment and provision of nutrition support therapy in critically ill children.

Authors:  Xue-Mei Zhu; Su-Yun Qian; Guo-Ping Lu; Feng Xu; Ying Wang; Chun-Feng Liu; Xiao-Xu Ren; Yu-Cai Zhang; Heng-Miao Gao; Tao Zhou; Hong-Xing Dang; Chong-Fan Zhang; Yi-Min Zhu
Journal:  World J Pediatr       Date:  2018-08-28       Impact factor: 2.764

Review 6.  Nutritional support for children during critical illness: European Society of Pediatric and Neonatal Intensive Care (ESPNIC) metabolism, endocrine and nutrition section position statement and clinical recommendations.

Authors:  Lyvonne N Tume; Frederic V Valla; Koen Joosten; Corinne Jotterand Chaparro; Lynne Latten; Luise V Marino; Isobel Macleod; Clémence Moullet; Nazima Pathan; Shancy Rooze; Joost van Rosmalen; Sascha C A T Verbruggen
Journal:  Intensive Care Med       Date:  2020-02-20       Impact factor: 17.440

7.  Nutritional support in 111 pediatric intensive care units: a European survey.

Authors:  Martijn van der Kuip; Michiel J S Oosterveld; Marian A E van Bokhorst-de van der Schueren; K de Meer; Harry N Lafeber; Reinoud J B J Gemke
Journal:  Intensive Care Med       Date:  2004-06-12       Impact factor: 17.440

8.  External Validation of Equations to Estimate Resting Energy Expenditure in Critically Ill Children and Adolescents with and without Malnutrition: A Cross-Sectional Study.

Authors:  George Briassoulis; Efrossini Briassouli; Stavroula Ilia; Panagiotis Briassoulis
Journal:  Nutrients       Date:  2022-10-06       Impact factor: 6.706

9.  Weight-for-age distribution and case-mix adjusted outcomes of 14,307 paediatric intensive care admissions.

Authors:  Nicholas J Prince; Katherine L Brown; Teumzghi F Mebrahtu; Roger C Parslow; Mark J Peters
Journal:  Intensive Care Med       Date:  2014-07-18       Impact factor: 17.440

  9 in total

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