Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic review

ABSTRACT Maximal inspiratory and expiratory pressures (MIP and MEP) assess the strength index of the respiratory muscles. These measures are relevant to assess respiratory muscle strength and for clinical monitoring. This study evaluates papers that suggest predictive equations of MIP and MEP for the Brazilian population. We included studies that established prediction equations for MIP and MEP for the healthy Brazilian population, aged from 4 to 90 years old, both men and women and that had the maximum respiratory pressures measured in a sitting position. A search was carried out in March 2020 on MEDLINE, LILACS, Cochrane, SciELO, CINAHL, Web of Science, and SCOPUS databases, without date or language filters. The descriptors used were “muscle strength,” “equations,” “predictive respiratory muscles” and their respective synonyms. Out of the 3,920 studies found in databases, 963 were duplicates, 2,779 were excluded, 178 had their full texts analyzed, and only 9 met the inclusion criteria. The predictive equations of ventilatory muscle strength analyzed in this review used age, weight, and stature as variables. However, the studies showed methodological weaknesses, such as lack of cross-validation of the equation, exclusion of outliers, and lack of familiarization of MIP and MEP.

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Main Authors: Silva,Glória de Paula, Bunn,Priscila dos Santos, Sodré,Ravini de Souza, Pinto,Daianny França, Silva,Elirez Bezerra da
Format: Digital revista
Language:English
Published: Universidade de São Paulo 2021
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-29502021000400400
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spelling oai:scielo:S1809-295020210004004002022-03-07Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic reviewSilva,Glória de PaulaBunn,Priscila dos SantosSodré,Ravini de SouzaPinto,Daianny FrançaSilva,Elirez Bezerra da Predictive Equations Ventilatory Muscles Maximal Inspiratory Pressure Maximal Expiratory Pressure ABSTRACT Maximal inspiratory and expiratory pressures (MIP and MEP) assess the strength index of the respiratory muscles. These measures are relevant to assess respiratory muscle strength and for clinical monitoring. This study evaluates papers that suggest predictive equations of MIP and MEP for the Brazilian population. We included studies that established prediction equations for MIP and MEP for the healthy Brazilian population, aged from 4 to 90 years old, both men and women and that had the maximum respiratory pressures measured in a sitting position. A search was carried out in March 2020 on MEDLINE, LILACS, Cochrane, SciELO, CINAHL, Web of Science, and SCOPUS databases, without date or language filters. The descriptors used were “muscle strength,” “equations,” “predictive respiratory muscles” and their respective synonyms. Out of the 3,920 studies found in databases, 963 were duplicates, 2,779 were excluded, 178 had their full texts analyzed, and only 9 met the inclusion criteria. The predictive equations of ventilatory muscle strength analyzed in this review used age, weight, and stature as variables. However, the studies showed methodological weaknesses, such as lack of cross-validation of the equation, exclusion of outliers, and lack of familiarization of MIP and MEP.info:eu-repo/semantics/openAccessUniversidade de São PauloFisioterapia e Pesquisa v.28 n.4 20212021-10-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-29502021000400400en10.1590/1809-2950/20012028042021
institution SCIELO
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country Brasil
countrycode BR
component Revista
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Silva,Glória de Paula
Bunn,Priscila dos Santos
Sodré,Ravini de Souza
Pinto,Daianny França
Silva,Elirez Bezerra da
spellingShingle Silva,Glória de Paula
Bunn,Priscila dos Santos
Sodré,Ravini de Souza
Pinto,Daianny França
Silva,Elirez Bezerra da
Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic review
author_facet Silva,Glória de Paula
Bunn,Priscila dos Santos
Sodré,Ravini de Souza
Pinto,Daianny França
Silva,Elirez Bezerra da
author_sort Silva,Glória de Paula
title Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic review
title_short Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic review
title_full Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic review
title_fullStr Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic review
title_full_unstemmed Predictive equations for ventilatory muscle strength in the Brazilian population: a systematic review
title_sort predictive equations for ventilatory muscle strength in the brazilian population: a systematic review
description ABSTRACT Maximal inspiratory and expiratory pressures (MIP and MEP) assess the strength index of the respiratory muscles. These measures are relevant to assess respiratory muscle strength and for clinical monitoring. This study evaluates papers that suggest predictive equations of MIP and MEP for the Brazilian population. We included studies that established prediction equations for MIP and MEP for the healthy Brazilian population, aged from 4 to 90 years old, both men and women and that had the maximum respiratory pressures measured in a sitting position. A search was carried out in March 2020 on MEDLINE, LILACS, Cochrane, SciELO, CINAHL, Web of Science, and SCOPUS databases, without date or language filters. The descriptors used were “muscle strength,” “equations,” “predictive respiratory muscles” and their respective synonyms. Out of the 3,920 studies found in databases, 963 were duplicates, 2,779 were excluded, 178 had their full texts analyzed, and only 9 met the inclusion criteria. The predictive equations of ventilatory muscle strength analyzed in this review used age, weight, and stature as variables. However, the studies showed methodological weaknesses, such as lack of cross-validation of the equation, exclusion of outliers, and lack of familiarization of MIP and MEP.
publisher Universidade de São Paulo
publishDate 2021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-29502021000400400
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