Comparative study of maximum respiratory pressure in adults from amazonas by different predictive equations

Abstract

Introduction: The measurement of muscular strength and maximum static pressures, substantially a consecrated and practical method, raise discussions about reference values and predictive equations, taking into account the heterogeneity of the studies. Objectives: Compare predicted values of IPmax and EPmax with the equations of Neder et al., 1999 and Costa et al., 2010 in adult individuals from the state of Amazonas (AM, Brazil). Method: A cross-sectional study in which was evaluated the Maximum Respiratory Pressures (IPmax and EPmax) according to standardization of the Brazilian Society of Pneumology and Tisiology in 210 individuals (68% female and 32% male) and 109 were eutrophic and 101 with overweight. The age of the individuals was 47,8±18,5 years. For comparative statistical analysis between the values obtained and predicted by the equations was performed the Anova One Way - Software SigmaStat 3.5 test. Results: The comparison of the values obtained with those predicted revealed that the Neder et al underestimated the IPmax in both genders (P <0,001) and overestimated the EPmáx in males (P <0,001). While the equation of Costa et al overestimated the IPmax and EPmáx in males (P <0,001) underestimated the IPmax in females (P<0,001). Conclusion: The results evidenced divergences in the predictive quality of the equations used, especially for IPmax, which suggests the low specificity of it in the population evaluated.

Pressões respiratórias máximas em indivíduos obesos antes e após cirurgia bariátrica

“…Ao compararmos os valores obtidos com as equações preditivas, observamos que as equações de Neder et al [15] e Costa et al [16] não foram capazes de predizer os valores medidos das PRM dos avaliados, subestimando os valores. Não obstante, outros autores também encontraram diferença entre os resultados de obesos e os valores obtidos com essas mesmas equações [24][25][26][27]. Essa diferença pode ser explicada pelo fato de as equações não considerarem como fatores preditivos o peso e o IMC, além de terem sido sugeridas a partir de população da região sudeste do Brasil.…”