Literature DB >> 21378256

Validation of an equation for resting metabolic rate in older obese, critically ill patients.

David Frankenfield1.   

Abstract

BACKGROUND: In previous studies, the Penn State (PSU) equation was found to be a valid way to predict resting metabolic rate (RMR) in critically ill patients, with the exception of those who were aged 60 years or older and had a body mass index (BMI) ≥30 kg/m(2). A modification of the equation was proposed in this specific patient population. The current study was designed to test the validity of that equation and to retest the validity of the original equation.
METHODS: RMR was measured using a standardized evidence-based protocol. Metabolic rates predicted with the PSU equation and a modification of it (PSU[m]) were compared with the measured values. Fifty patients were studied prospectively. Data were used from an additional 75 subjects from previous studies that had not been used to develop either of the equations being tested in the current study. This brought the final number of subjects for each equation to 74 for PSU(m) and 106 for PSU.
RESULTS: The PSU(m) equation was found to be biased by a narrow margin (95% confidence interval, -87 to -4 kcal/d), but both versions of the equation were precise. Accuracy rate for the PSU(m) equation was 74%, compared with 58% for the PSU equation (P < .04).
CONCLUSIONS: The PSU(m) equation for predicting RMR in critically ill, mechanically ventilated patients is valid in patients aged cases where age is ≥60 years or older whose BMI is ≥30 kg/m(2).

Entities:  

Mesh:

Year:  2011        PMID: 21378256     DOI: 10.1177/0148607110377903

Source DB:  PubMed          Journal:  JPEN J Parenter Enteral Nutr        ISSN: 0148-6071            Impact factor:   4.016


  9 in total

1.  Significant publications for pharmacy nutrition support practice in 2013.

Authors:  Roland N Dickerson; Vanessa J Kumpf; Carol J Rollins; Eric H Frankel; Michael D Kraft; Todd W Canada; Catherine M Crill
Journal:  Hosp Pharm       Date:  2014-09

2.  Estimating dead-space fraction for secondary analyses of acute respiratory distress syndrome clinical trials.

Authors:  Jeremy R Beitler; B Taylor Thompson; Michael A Matthay; Daniel Talmor; Kathleen D Liu; Hanjing Zhuo; Douglas Hayden; Roger G Spragg; Atul Malhotra
Journal:  Crit Care Med       Date:  2015-05       Impact factor: 7.598

3.  Methods for Estimating Energy Expenditure in Critically Ill Adults.

Authors:  Makayla Cordoza; Lingtak-Neander Chan; Elizabeth Bridges; Hilaire Thompson
Journal:  AACN Adv Crit Care       Date:  2020-09-15

4.  Optimising enteral nutrition in critically ill patients by reducing fasting times.

Authors:  Ella Segaran; Ian Barker; Andrew Hartle
Journal:  J Intensive Care Soc       Date:  2015-02-01

Review 5.  Development and current use of parenteral nutrition in critical care - an opinion paper.

Authors:  Mette M Berger; Claude Pichard
Journal:  Crit Care       Date:  2014-08-08       Impact factor: 9.097

Review 6.  Obesity and critical care nutrition: current practice gaps and directions for future research.

Authors:  Roland N Dickerson; Laura Andromalos; J Christian Brown; Maria Isabel T D Correia; Wanda Pritts; Emma J Ridley; Katie N Robinson; Martin D Rosenthal; Arthur R H van Zanten
Journal:  Crit Care       Date:  2022-09-20       Impact factor: 19.334

7.  Neuromuscular Electrical Stimulation and High-Protein Supplementation After Subarachnoid Hemorrhage: A Single-Center Phase 2 Randomized Clinical Trial.

Authors:  Neeraj Badjatia; Stephanie Sanchez; Gabriella Judd; Rachel Hausladen; David Hering; Melissa Motta; Gunjan Parikh; Wendy Chang; Nicholas Morris; J Marc Simard; John Sorkin; George F Wittenberg; Alice S Ryan
Journal:  Neurocrit Care       Date:  2020-11-04       Impact factor: 3.532

8.  Nutritional Alterations Associated with Neurological and Neurosurgical Diseases.

Authors:  Yannis Dionyssiotis; Aris Papachristos; Konstantina Petropoulou; Jannis Papathanasiou; Panayiotis Papagelopoulos
Journal:  Open Neurol J       Date:  2016-07-26

9.  Estimated dead space fraction and the ventilatory ratio are associated with mortality in early ARDS.

Authors:  Luis Morales-Quinteros; Marcus J Schultz; Josep Bringué; Carolyn S Calfee; Marta Camprubí; Olaf L Cremer; Janneke Horn; Tom van der Poll; Pratik Sinha; Antonio Artigas; Lieuwe D Bos
Journal:  Ann Intensive Care       Date:  2019-11-21       Impact factor: 6.925

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.