Maximal Voluntary Ventilation Should Not Be Estimated From the Forced Expiratory Volume in the First Second in Healthy People and COPD Patients
To evaluate the concordance between the value of the actual maximum voluntary ventilation (MVV) and the estimated value by multiplying the forced expiratory volume in the first second (FEV ) and a different value established in the literature. A retrospective study was conducted with healthy subject...
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Published in | Frontiers in physiology Vol. 11; p. 537 |
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Abstract | To evaluate the concordance between the value of the actual maximum voluntary ventilation (MVV) and the estimated value by multiplying the forced expiratory volume in the first second (FEV
) and a different value established in the literature.
A retrospective study was conducted with healthy subjects and patients with stable chronic obstructive pulmonary disease (COPD). Five prediction formulas MVV were used for the comparison with the MVV values. Agreement between MVV measured and MVV obtained from five prediction equations were studied. FEV
values were used to estimate MVV. Correlation and agreement analysis of the values was performed in two groups using the Pearson test and the Bland-Altman method; these groups were one group with 207 healthy subjects and the second group with 83 patients diagnosed with COPD, respectively.
We recruited 207 healthy subjects (105 women, age 47 ± 17 years) and 83 COPD patients (age 66 ± 6 years; 29 GOLD II, 30 GOLD III, and 24 GOLD IV) for the study. All prediction equations presented a significant correlation with the MVV value (from 0.38 to 0.86,
< 0.05) except for the GOLD II subgroup, which had a poor agreement with measured MVV. In healthy subjects, the mean difference of the value of bias (and limits of agreement) varied between -3.9% (-32.8 to 24.9%), and 27% (-1.4 to 55.3%). In COPD patients, the mean difference of value of bias (and limits of agreement) varied between -4.4% (-49.4 to 40.6%), and 26.3% (-18.3 to 70.9%). The results were similar in the subgroup analysis.
The equations to estimate the value of MVV present a good degree of correlation with the real value of MVV, but they also show a poor concordance. For this reason, we should not use the estimated results as a replacement for the real value of MVV. |
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AbstractList | To evaluate the concordance between the value of the actual maximum voluntary ventilation (MVV) and the estimated value by multiplying the forced expiratory volume in the first second (FEV1) and a different value established in the literature.PURPOSETo evaluate the concordance between the value of the actual maximum voluntary ventilation (MVV) and the estimated value by multiplying the forced expiratory volume in the first second (FEV1) and a different value established in the literature.A retrospective study was conducted with healthy subjects and patients with stable chronic obstructive pulmonary disease (COPD). Five prediction formulas MVV were used for the comparison with the MVV values. Agreement between MVV measured and MVV obtained from five prediction equations were studied. FEV1 values were used to estimate MVV. Correlation and agreement analysis of the values was performed in two groups using the Pearson test and the Bland-Altman method; these groups were one group with 207 healthy subjects and the second group with 83 patients diagnosed with COPD, respectively.METHODSA retrospective study was conducted with healthy subjects and patients with stable chronic obstructive pulmonary disease (COPD). Five prediction formulas MVV were used for the comparison with the MVV values. Agreement between MVV measured and MVV obtained from five prediction equations were studied. FEV1 values were used to estimate MVV. Correlation and agreement analysis of the values was performed in two groups using the Pearson test and the Bland-Altman method; these groups were one group with 207 healthy subjects and the second group with 83 patients diagnosed with COPD, respectively.We recruited 207 healthy subjects (105 women, age 47 ± 17 years) and 83 COPD patients (age 66 ± 6 years; 29 GOLD II, 30 GOLD III, and 24 GOLD IV) for the study. All prediction equations presented a significant correlation with the MVV value (from 0.38 to 0.86, p < 0.05) except for the GOLD II subgroup, which had a poor agreement with measured MVV. In healthy subjects, the mean difference of the value of bias (and limits of agreement) varied between -3.9% (-32.8 to 24.9%), and 27% (-1.4 to 55.3%). In COPD patients, the mean difference of value of bias (and limits of agreement) varied between -4.4% (-49.4 to 40.6%), and 26.3% (-18.3 to 70.9%). The results were similar in the subgroup analysis.RESULTSWe recruited 207 healthy subjects (105 women, age 47 ± 17 years) and 83 COPD patients (age 66 ± 6 years; 29 GOLD II, 30 GOLD III, and 24 GOLD IV) for the study. All prediction equations presented a significant correlation with the MVV value (from 0.38 to 0.86, p < 0.05) except for the GOLD II subgroup, which had a poor agreement with measured MVV. In healthy subjects, the mean difference of the value of bias (and limits of agreement) varied between -3.9% (-32.8 to 24.9%), and 27% (-1.4 to 55.3%). In COPD patients, the mean difference of value of bias (and limits of agreement) varied between -4.4% (-49.4 to 40.6%), and 26.3% (-18.3 to 70.9%). The results were similar in the subgroup analysis.The equations to estimate the value of MVV present a good degree of correlation with the real value of MVV, but they also show a poor concordance. For this reason, we should not use the estimated results as a replacement for the real value of MVV.CONCLUSIONThe equations to estimate the value of MVV present a good degree of correlation with the real value of MVV, but they also show a poor concordance. For this reason, we should not use the estimated results as a replacement for the real value of MVV. PurposeTo evaluate the concordance between the value of the actual maximum voluntary ventilation (MVV) and the estimated value by multiplying the forced expiratory volume in the first second (FEV1) and a different value established in the literature.MethodsA retrospective study was conducted with healthy subjects and patients with stable chronic obstructive pulmonary disease (COPD). Five prediction formulas MVV were used for the comparison with the MVV values. Agreement between MVV measured and MVV obtained from five prediction equations were studied. FEV1 values were used to estimate MVV. Correlation and agreement analysis of the values was performed in two groups using the Pearson test and the Bland–Altman method; these groups were one group with 207 healthy subjects and the second group with 83 patients diagnosed with COPD, respectively.ResultsWe recruited 207 healthy subjects (105 women, age 47 ± 17 years) and 83 COPD patients (age 66 ± 6 years; 29 GOLD II, 30 GOLD III, and 24 GOLD IV) for the study. All prediction equations presented a significant correlation with the MVV value (from 0.38 to 0.86, p < 0.05) except for the GOLD II subgroup, which had a poor agreement with measured MVV. In healthy subjects, the mean difference of the value of bias (and limits of agreement) varied between -3.9% (-32.8 to 24.9%), and 27% (-1.4 to 55.3%). In COPD patients, the mean difference of value of bias (and limits of agreement) varied between -4.4% (-49.4 to 40.6%), and 26.3% (-18.3 to 70.9%). The results were similar in the subgroup analysis.ConclusionThe equations to estimate the value of MVV present a good degree of correlation with the real value of MVV, but they also show a poor concordance. For this reason, we should not use the estimated results as a replacement for the real value of MVV. To evaluate the concordance between the value of the actual maximum voluntary ventilation (MVV) and the estimated value by multiplying the forced expiratory volume in the first second (FEV ) and a different value established in the literature. A retrospective study was conducted with healthy subjects and patients with stable chronic obstructive pulmonary disease (COPD). Five prediction formulas MVV were used for the comparison with the MVV values. Agreement between MVV measured and MVV obtained from five prediction equations were studied. FEV values were used to estimate MVV. Correlation and agreement analysis of the values was performed in two groups using the Pearson test and the Bland-Altman method; these groups were one group with 207 healthy subjects and the second group with 83 patients diagnosed with COPD, respectively. We recruited 207 healthy subjects (105 women, age 47 ± 17 years) and 83 COPD patients (age 66 ± 6 years; 29 GOLD II, 30 GOLD III, and 24 GOLD IV) for the study. All prediction equations presented a significant correlation with the MVV value (from 0.38 to 0.86, < 0.05) except for the GOLD II subgroup, which had a poor agreement with measured MVV. In healthy subjects, the mean difference of the value of bias (and limits of agreement) varied between -3.9% (-32.8 to 24.9%), and 27% (-1.4 to 55.3%). In COPD patients, the mean difference of value of bias (and limits of agreement) varied between -4.4% (-49.4 to 40.6%), and 26.3% (-18.3 to 70.9%). The results were similar in the subgroup analysis. The equations to estimate the value of MVV present a good degree of correlation with the real value of MVV, but they also show a poor concordance. For this reason, we should not use the estimated results as a replacement for the real value of MVV. |
Author | Fregonezi, Guilherme Augusto de Freitas Otto-Yáñez, Matías Carvalho de Farias, Catharinne Angélica Resqueti, Vanessa Regiane Sarmento da Nóbrega, Antônio José Torres-Castro, Rodrigo Araújo, Palomma Russelly Saldanha Dornelas De Andrade, Armele de Fátima Puppo, Homero |
AuthorAffiliation | 6 Departamento de Fisioterapia, Universidade Federal do Pernambuco , Recife , Brazil 2 Programa de Doutorado em Biotecnologia RENORBIO, Universidade Federal do Rio Grande do Norte , Natal , Brazil 4 Laboratório de Inovação Tecnológica em Reabilitação, Departamento de Fisioterapia, Universidade Federal do Rio Grande do Norte (UFRN) , Natal , Brazil 5 Department of Physical Therapy, Faculty of Medicine, University of Chile , Santiago , Chile 3 PneumoCardioVascular Lab/Hospital Universitário Onofre Lopes, Empresa Brazileira de Serviços Hospitalares (EBSERH), Universidade Federal do Rio Grande do Norte (UFRN) , Natal , Brazil 1 Physical Therapy, Universidad Autónoma de Chile , Santiago , Chile |
AuthorAffiliation_xml | – name: 1 Physical Therapy, Universidad Autónoma de Chile , Santiago , Chile – name: 5 Department of Physical Therapy, Faculty of Medicine, University of Chile , Santiago , Chile – name: 2 Programa de Doutorado em Biotecnologia RENORBIO, Universidade Federal do Rio Grande do Norte , Natal , Brazil – name: 4 Laboratório de Inovação Tecnológica em Reabilitação, Departamento de Fisioterapia, Universidade Federal do Rio Grande do Norte (UFRN) , Natal , Brazil – name: 6 Departamento de Fisioterapia, Universidade Federal do Pernambuco , Recife , Brazil – name: 3 PneumoCardioVascular Lab/Hospital Universitário Onofre Lopes, Empresa Brazileira de Serviços Hospitalares (EBSERH), Universidade Federal do Rio Grande do Norte (UFRN) , Natal , Brazil |
Author_xml | – sequence: 1 givenname: Matías surname: Otto-Yáñez fullname: Otto-Yáñez, Matías – sequence: 2 givenname: Antônio José surname: Sarmento da Nóbrega fullname: Sarmento da Nóbrega, Antônio José – sequence: 3 givenname: Rodrigo surname: Torres-Castro fullname: Torres-Castro, Rodrigo – sequence: 4 givenname: Palomma Russelly Saldanha surname: Araújo fullname: Araújo, Palomma Russelly Saldanha – sequence: 5 givenname: Catharinne Angélica surname: Carvalho de Farias fullname: Carvalho de Farias, Catharinne Angélica – sequence: 6 givenname: Armele de Fátima surname: Dornelas De Andrade fullname: Dornelas De Andrade, Armele de Fátima – sequence: 7 givenname: Homero surname: Puppo fullname: Puppo, Homero – sequence: 8 givenname: Vanessa Regiane surname: Resqueti fullname: Resqueti, Vanessa Regiane – sequence: 9 givenname: Guilherme Augusto de Freitas surname: Fregonezi fullname: Fregonezi, Guilherme Augusto de Freitas |
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Copyright | Copyright © 2020 Otto-Yáñez, Sarmento da Nóbrega, Torres-Castro, Araújo, Carvalho de Farias, Dornelas De Andrade, Puppo, Resqueti and Fregonezi. Copyright © 2020 Otto-Yáñez, Sarmento da Nóbrega, Torres-Castro, Araújo, Carvalho de Farias, Dornelas De Andrade, Puppo, Resqueti and Fregonezi. 2020 Otto-Yáñez, Sarmento da Nóbrega, Torres-Castro, Araújo, Carvalho de Farias, Dornelas De Andrade, Puppo, Resqueti and Fregonezi |
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Keywords | maximal voluntary ventilation prediction equation forced expiratory volume in the first second prediction formulas COPD |
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SubjectTerms | COPD forced expiratory volume in the first second maximal voluntary ventilation Physiology prediction equation prediction formulas |
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Title | Maximal Voluntary Ventilation Should Not Be Estimated From the Forced Expiratory Volume in the First Second in Healthy People and COPD Patients |
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