Quantitative methanol-burning lung model for validating gas-exchange measurements over wide ranges of F I O 2

Miodownik, Saul; Melendez, Jose; Carlon, Vittoria Arslan; Burda, Brian

doi:10.1152/jappl.1998.84.6.2177

Cited by 15 publications

(16 citation statements)

References 18 publications

(15 reference statements)

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“…Percent recoveries of both O 2 and CO 2 , as well as RER, were calculated by previously published formulas . The theoretical value for percent O 2 and CO 2 recovery was 100%, and the theoretical value for RER was 0.667 based on the ratio of produced CO 2 to utilized O 2 in the burning of methanol from this equation: 2CH 3 OH + 3O 2 → 2CO 2 + 4H 2 O, which is the value regardless of fuel infusion rate and/or changes in fraction of inspired oxygen (F io 2 ) …”

Section: Methodsmentioning

confidence: 99%

Determining the Accuracy and Reliability of Indirect Calorimeters Utilizing the Methanol Combustion Technique

et al. 2018

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Section: Methodsmentioning

confidence: 99%

Determining the Accuracy and Reliability of Indirect Calorimeters Utilizing the Methanol Combustion Technique

et al. 2018

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“…Midownik et al (2000) developed a semi‐automated gas exchange measurement system based on a Douglas bag design. This system was validated using a modified version of the quantitative funnel burner lung model (Miodownik et al, 1998) and standard water volume displacement. They compared their validated system to the Sensor Medics Deltatrac (mixing chamber Yorba Linda, California, USA) and Medical Graphics CPX (breath‐by‐breath) systems (Medical Graphics Corp, St. Paul, MN, USA).…”

Section: Comparison Of One or More Automated Metabolic Analysis Systementioning

confidence: 99%

Validity and reliability of selected commercially available metabolic analyzer systems

Hodges

Brodie

Bromley

2005

Scandinavian Med Sci Sports

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Automated metabolic gas analysis systems have advanced considerably over the past decade. They provide an abundance of information, which is not possible by using the traditional Douglas bag method and have become an essential tool in both physiological monitoring and in the diagnosis of cardiopulmonary disease. The validity and reliability of the different online metabolic analyzer systems are not well known, with relatively few independent studies being published. The purpose of this review was to examine and evaluate current literature regarding the validity and reliability of commercially available metabolic analyzer systems. This review reveals significant differences between the available systems in the way that they capture and process basic respiratory measurements. Online metabolic analyzer systems were found to vary significantly when compared with Douglas bag methods. These variations have the potential to introduce error into the accuracy with which the health of cardiovascular system can be assessed or training loads can be assigned. Compounding this is the fact that many automated systems are a "black box", which makes it easy to generate data without the user having much understanding of how the data were generated. In conclusion automated metabolic analyser systems are a scientifically robust method for the evaluation of cardiopulmonary function. Individual researchers and clinicians must, however, be able to make their own decisions about the level of error that is tolerable for their individual needs. This presents a significant practical challenge in light of the speed with which technical developments in the field occur and we make some suggestions for the formulation of intersystem comparison studies.

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“…In the study of McClave et al [26] steady state criterion is defined as a five consecutive 1-min intervals where VO 2 and VCO 2 change by\10% to produce the best correlation and smallest mean difference within a 24-h EE evaluation. Though the criterion of McClave et al [26] is quiet stringent, patients who do not achieve the steady state criterion are considered as clinically unstable and the measurement value cannot be extrapolated for the 24-h TEE [29]. In the present study of 77 subjects, only 42 subjects achieved steady state criterion, denoting a high participant loss.…”

Section: Comparison Of the Indirect Calorimetersmentioning

confidence: 56%

“…In extreme obese patients, especially those who have a BMI higher than 40, EE is highly variable [29], and the only known accurate way in optimising nutritional support regimes is through ICs [15]. Therefore, the assimilation of ICs is vital to define, if between instruments RMR can be accurately estimated.…”

Section: Comparison Of the Indirect Calorimetersmentioning

confidence: 99%

“…Therefore, the measurement of EE is the most defined method to assess energy needs [6,23]. The measurement with the indirect calorimeter (IC) is the most common method [5,15,16,21,25], principally based on the specific amount of O 2 consumed (VO 2 ) and the amount of CO 2 produced (VCO 2 ), to calculate the respiratory quotient (RQ) and with the abbreviated Weir equation the resting metabolic rate (RMR; 49,1,29,46), which explains the largest single component of total daily energy needs [17-19, 38, 42, 44, 48].…”

Section: Introductionmentioning

confidence: 99%

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Calorimetry in obese women: comparison of two different operating indirect calorimeters together with the predictive equation of Harris and Benedict

Hagedorn¹,

Savina²,

Coletti³

et al. 2010

Mediterr J Nutr Metab

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In patients with obesity, it is important to know the exact metabolic function in order to assess balanced nutritional support, reducing the risks of the initial situation. For an adequate detection of the resting metabolic rate (RMR), commonly indirect calorimeters are used. In the present study, two different indirect calorimeters [an expiratory collection open-circuit system (Fitmate) and a ventilated open-circuit system (Quark RMR)], were correlated and analysed for better adequacy. The predictive equation of Harris-Benedict (HBE) was confronted with the measured RMR of the better evaluated indirect calorimeter. 42 obese women (age 55 ± 12 years and BMI 42.9 ± 6.8 kg/m2) were included in the study after selecting patients according to the predefined inclusion and exclusion criteria. Measurement durations of each 15 min were performed after an overnight fast with both calorimeters. Received values of Fitmate and Quark were compared while the calorimeter with the more reliable values was compared with the HBE. Significant correlations (P<0.001) between the devices were achieved, although a significant difference of 1,051 kJ/day (14.9%) between Fitmate (7,542 ± 1,230 kJ/day) and Quark RMR (6,491 ± 806 kJ/day) was detected. The mean calculated RMR of the HBE (7,181 ± 716 kJ/day), in comparison with Quark RMR was significantly different (P<0.001). The correlation of the two indirect calorimeters, their different functioning, led to significant differences between devices and RMR measurements. The HBE was found to overestimate the measured RMR of Quark RMR. Though the HBE was developed on lean subject, it cannot be considered as a reliable equation for obese subjects. © 2011 Springer-Verlag

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Quantitative methanol-burning lung model for validating gas-exchange measurements over wide ranges of F I O 2

Cited by 15 publications

References 18 publications

Determining the Accuracy and Reliability of Indirect Calorimeters Utilizing the Methanol Combustion Technique

Determining the Accuracy and Reliability of Indirect Calorimeters Utilizing the Methanol Combustion Technique

Validity and reliability of selected commercially available metabolic analyzer systems

Calorimetry in obese women: comparison of two different operating indirect calorimeters together with the predictive equation of Harris and Benedict

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