Antenor Rodrigues1, Marianne L Da Silva2, Danilo C Berton3, Gerson Cipriano4, Fabio Pitta5, Denis E O'Donnell6, J Alberto Neder7. 1. Division of Respiratory and Critical Care Medicine, Queen's University, Kingston, ON, Canada; Laboratory of Research in Respiratory Physiotherapy, Department of Physiotherapy, State University of Londrina, Londrina, Brazil. 2. Division of Respiratory and Critical Care Medicine, Queen's University, Kingston, ON, Canada; Department of Physiotherapy, University of Brasilia, Brasilia, Brazil. 3. Division of Respiratory and Critical Care Medicine, Queen's University, Kingston, ON, Canada; Division of Respirology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil. 4. Department of Physiotherapy, University of Brasilia, Brasilia, Brazil. 5. Laboratory of Research in Respiratory Physiotherapy, Department of Physiotherapy, State University of Londrina, Londrina, Brazil. 6. Division of Respiratory and Critical Care Medicine, Queen's University, Kingston, ON, Canada. 7. Pulmonary Function Laboratory, Hotel Dieu Hospital, Kingston, ON, Canada. Electronic address: alberto.neder@queensu.ca.
Abstract
BACKGROUND: Single-point measurements of maximal inspiratory pressure (MIP) are frequently used to suggest muscle weakness in clinical practice. Although there is a large variability in "mean" predicted MIP depending on the chosen reference values, it remains unclear whether those discrepancies actually impact on the prevalence of weakness, that is, MIP below the lower limit of normal. METHODS: A total of 1,729 subjects (50.1% men, aged 20 to 94 years) who underwent MIP measurements in a clinical laboratory comprised the study group. MIP was predicted according to the most frequently cited regression equations as of August 2015. Pretest probability of weakness was defined by a cluster of clinical and physiologic variables. RESULTS: Prevalence of weakness ranged from 33.4 to 66.9%. Set 2 equations agreed well in indicating weakness (κ [95% CI] ranging from 0.81 [0.79-0.83] to 0.83 [0.81-0.85]; P < .01). There was closer agreement between higher pretest probability of weakness and low MIP according to set 2 equations compared with set 1 equations. Thus, a significant fraction of subjects with abnormal MIP according to set 1 equations but preserved MIP according to set 2 equations had higher pretest probability of weakness (P < .05). CONCLUSIONS: The choice of MIP reference values strongly impacts on the prevalence of weakness. Some specific equations relate better to clinical and physiologic indicators of weakness, suggesting that they might be particularly useful to screen subjects for advanced respiratory neuromuscular assessment.
BACKGROUND: Single-point measurements of maximal inspiratory pressure (MIP) are frequently used to suggest muscle weakness in clinical practice. Although there is a large variability in "mean" predicted MIP depending on the chosen reference values, it remains unclear whether those discrepancies actually impact on the prevalence of weakness, that is, MIP below the lower limit of normal. METHODS: A total of 1,729 subjects (50.1% men, aged 20 to 94 years) who underwent MIP measurements in a clinical laboratory comprised the study group. MIP was predicted according to the most frequently cited regression equations as of August 2015. Pretest probability of weakness was defined by a cluster of clinical and physiologic variables. RESULTS: Prevalence of weakness ranged from 33.4 to 66.9%. Set 2 equations agreed well in indicating weakness (κ [95% CI] ranging from 0.81 [0.79-0.83] to 0.83 [0.81-0.85]; P < .01). There was closer agreement between higher pretest probability of weakness and low MIP according to set 2 equations compared with set 1 equations. Thus, a significant fraction of subjects with abnormal MIP according to set 1 equations but preserved MIP according to set 2 equations had higher pretest probability of weakness (P < .05). CONCLUSIONS: The choice of MIP reference values strongly impacts on the prevalence of weakness. Some specific equations relate better to clinical and physiologic indicators of weakness, suggesting that they might be particularly useful to screen subjects for advanced respiratory neuromuscular assessment.
Authors: Benedikt Schoser; Edward Fong; Tarekegn Geberhiwot; Derralynn Hughes; John T Kissel; Shyam C Madathil; David Orlikowski; Michael I Polkey; Mark Roberts; Harm A W M Tiddens; Peter Young Journal: Orphanet J Rare Dis Date: 2017-03-16 Impact factor: 4.123
Authors: Denis E O'Donnell; Amany F Elbehairy; Danilo C Berton; Nicolle J Domnik; J Alberto Neder Journal: Front Physiol Date: 2017-02-22 Impact factor: 4.566
Authors: João Victor Rolim; Jaquelina Sonoe Ota-Arakaki; Eloara V M Ferreira; Gabriela A M Figliolino; Ivan Ivanaga; Elaine Brito Vieira; Angelo X C Fonseca; Carolina M S Messina; Camila Melo Costa; J Alberto Neder; Luiz Eduardo Nery; Roberta Pulcheri Ramos Journal: PLoS One Date: 2018-09-27 Impact factor: 3.240