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Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study

The Bland–Altman (BA) and percentage error (PE) methods have been previously described to assess the agreement between 2 methods of medical or laboratory measurements. This type of approach raises several problems: the BA methodology constitutes a subjective approach to interchangeability, whereas t...

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Autores principales: Lorne, Emmanuel, Diouf, Momar, de Wilde, Robert B.P., Fischer, Marc-Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839816/
https://www.ncbi.nlm.nih.gov/pubmed/29443764
http://dx.doi.org/10.1097/MD.0000000000009905
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author Lorne, Emmanuel
Diouf, Momar
de Wilde, Robert B.P.
Fischer, Marc-Olivier
author_facet Lorne, Emmanuel
Diouf, Momar
de Wilde, Robert B.P.
Fischer, Marc-Olivier
author_sort Lorne, Emmanuel
collection PubMed
description The Bland–Altman (BA) and percentage error (PE) methods have been previously described to assess the agreement between 2 methods of medical or laboratory measurements. This type of approach raises several problems: the BA methodology constitutes a subjective approach to interchangeability, whereas the PE approach does not take into account the distribution of values over a range. We describe a new methodology that defines an interchangeability rate between 2 methods of measurement and cutoff values that determine the range of interchangeable values. We used a simulated data and a previously published data set to demonstrate the concept of the method. The interchangeability rate of 5 different cardiac output (CO) pulse contour techniques (Wesseling method, LiDCO, PiCCO, Hemac method, and Modelflow) was calculated, in comparison with the reference pulmonary artery thermodilution CO using our new method. In our example, Modelflow with a good interchangeability rate of 93% and a cutoff value of 4.8 L min(−1), was found to be interchangeable with the thermodilution method for >95% of measurements. Modelflow had a higher interchangeability rate compared to Hemac (93% vs 86%; P = .022) or other monitors (Wesseling cZ = 76%, LiDCO = 73%, and PiCCO = 62%; P < .0001). Simulated data and reanalysis of a data set comparing 5 CO monitors against thermodilution CO showed that, depending on the repeatability of the reference method, the interchangeability rate combined with a cutoff value could be used to define the range of values over which interchangeability remains acceptable.
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spelling pubmed-58398162018-03-13 Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study Lorne, Emmanuel Diouf, Momar de Wilde, Robert B.P. Fischer, Marc-Olivier Medicine (Baltimore) 4100 The Bland–Altman (BA) and percentage error (PE) methods have been previously described to assess the agreement between 2 methods of medical or laboratory measurements. This type of approach raises several problems: the BA methodology constitutes a subjective approach to interchangeability, whereas the PE approach does not take into account the distribution of values over a range. We describe a new methodology that defines an interchangeability rate between 2 methods of measurement and cutoff values that determine the range of interchangeable values. We used a simulated data and a previously published data set to demonstrate the concept of the method. The interchangeability rate of 5 different cardiac output (CO) pulse contour techniques (Wesseling method, LiDCO, PiCCO, Hemac method, and Modelflow) was calculated, in comparison with the reference pulmonary artery thermodilution CO using our new method. In our example, Modelflow with a good interchangeability rate of 93% and a cutoff value of 4.8 L min(−1), was found to be interchangeable with the thermodilution method for >95% of measurements. Modelflow had a higher interchangeability rate compared to Hemac (93% vs 86%; P = .022) or other monitors (Wesseling cZ = 76%, LiDCO = 73%, and PiCCO = 62%; P < .0001). Simulated data and reanalysis of a data set comparing 5 CO monitors against thermodilution CO showed that, depending on the repeatability of the reference method, the interchangeability rate combined with a cutoff value could be used to define the range of values over which interchangeability remains acceptable. Wolters Kluwer Health 2018-02-16 /pmc/articles/PMC5839816/ /pubmed/29443764 http://dx.doi.org/10.1097/MD.0000000000009905 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle 4100
Lorne, Emmanuel
Diouf, Momar
de Wilde, Robert B.P.
Fischer, Marc-Olivier
Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study
title Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study
title_full Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study
title_fullStr Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study
title_full_unstemmed Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study
title_short Assessment of interchangeability rate between 2 methods of measurements: An example with a cardiac output comparison study
title_sort assessment of interchangeability rate between 2 methods of measurements: an example with a cardiac output comparison study
topic 4100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839816/
https://www.ncbi.nlm.nih.gov/pubmed/29443764
http://dx.doi.org/10.1097/MD.0000000000009905
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