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Vol. 43. Issue 9.
Pages 485-489 (January 2007)
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Vol. 43. Issue 9.
Pages 485-489 (January 2007)
Original Articles
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Reference Values for Inspiratory Capacity in Healthy Nonsmokers Over Age 50 Years
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Carmen Lisboa
Corresponding author
clisboa@med.puc.cl

Correspondence: Dra. C. Lisboa. Departamento de Enfermedades Respiratorias. Pontificia Universidad Católica de Chile. Marcoleta, 352, piso 1. Santiago. Chile
, Alicia Leiva, Ramón Pinochet, Paula Repetto, Gisella Borzone, Orlando Díaz
Departamento de Enfermedades Respiratorias, Facultad de Medicina y Escuela de Psicología, Pontificia Universidad Católica de Chile, Santiago, Chile
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Objective

The role of dynamic hyperinflation in triggering dyspnea and limiting exercise capacity in patients with chronic obstructive pulmonary disease has been recognized in recent years. The degree of dynamic hyperinflation can be assessed by measuring reduction in inspiratory capacity (IC). The aim of this study was to establish reference values for IC in healthy individuals of both sexes between the ages of 50 and 87 years, as such data are scarce in the literature.

Subjects and methods

We studied 155 healthy volunteers (93 women) with normal spirometry. None had a prior history of respiratory, cardiovascular, or systemic diseases that might alter lung function. All were never-smokers. IC was measured during a normal, unforced inspiration to total lung capacity starting from functional residual capacity. The highest value of 6 satisfactory maneuvers was recorded. Sex, height, age, and weight were included in the regression equations. One thousand bootstrap samples for each sex were also analyzed.

Results

For each sex, we found that a model including age, height, and weight produced IC prediction equations with a coefficient of determination (r2) of 0.414 for women and 0.447 for men. The mean (SD) intrasubject coefficient of variation was 4.3% (2%) for IC measured during a single session and 5.1% (0.4%) for measurements from 5 weekly sessions.

Conclusions

Our results provide reference equations for IC that are valid for a healthy population over 50 years of age. Predicted values were similar to those recently obtained in an Italian population aged between 65 and 85 years.

Key words:
Inspiratory capacity
Reference values
Slow vital capacity
Objetivo

En los últimos años se ha reconocido la importancia de la hiperinflación dinámica en la génesis de la disnea y de la limitación al ejercicio en la enfermedad pulmonar obstructiva crónica (EPOC), y que su magnitud puede evaluarse a través de la reducción de la capacidad inspiratoria (CI). Nuestro objetivo ha sido establecer valores de referencia de la CI en individuos sanos de ambos sexos, de entre 50 y 87 años de edad, debido a que en la literatura médica disponible prácticamente no se ofrecen tales datos.

Sujetos y métodos

Estudiamos a 155 voluntarios sanos (93 mujeres), que nunca habían fumado ni presentaban antecedentes de enfermedades respiratorias, cardiovasculares o sistémicas que pudieran alterar la función pulmonar, y cuya espirometría era normal. La CI se midió durante una inspiración no forzada hasta la capacidad pulmonar total a partir del valor en reposo espiratorio, y para los resultados se empleó el valor más alto de 6 maniobras satisfactorias. En las ecuaciones de regresión se incluyeron el sexo, la talla, la edad y el peso. Se empleó además el método de bootstrapping de 1.000 muestras para cada sexo como procedimiento de análisis.

Resultados

Encontramos para cada sexo que un mode-lo que incorporó la edad, la talla y el peso produjo ecuaciones predictivas de CI con un coeficiente de determinación r2 = 0,414 y 0,447 para mujeres y varones, respectivamente. El coeficiente de variación intrasujeto en una misma sesión fue (media ± desviación estándar) del 4,3 ± 2%, y en 5 sesiones separadas por una semana fue del 5,1 ± 0,4%.

Conclusiones

Nuestros resultados proporcionan ecuaciones de referencia para CI válidas en población sana mayor de 50 años. Los valores predichos son semejantes a los recientemente obtenidos en población italiana de 65-85 años de edad.

Palabras clave:
Capacidad inspiratoria
Valores de referencia
Capacidad vital lenta
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REFERENCES
[1]
DE O'Donnell, KA Webb.
Exertional breathlessness in patients with chronic airflow limitation: the role of lung hyperinflation.
Am Rev Respir Dis, 148 (1993), pp. 1351-1357
[2]
DE O'Donnell, M Lam, KA Webb.
Measurements of symptoms, lung hyperinflation, and endurance during exercise in chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 158 (1998), pp. 1557-1565
[3]
DE O'Donnell, SM Revill, KA Webb.
Dynamic hyperinflation and exercise tolerance in chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 164 (2001), pp. 770-777
[4]
DG Stubbing, LD Pengelly, JLC Morse, NL Jones.
Pulmonary mechanics during exercise in subjects with chronic airflow obstruction.
J Appl Physiol, 49 (1980), pp. 511-515
[5]
O Díaz, C Villafranca, H Ghezzo, G Borzone, A Leiva, J Milic-Emili, et al.
Role of inspiratory capacity on exercise tolerance in COPD patients with and without tidal expiratory flow limitation at rest.
Eur Respir J, 16 (2000), pp. 269-275
[6]
JM Marín, SJ Carrizo, M Gascón, A Sánchez, B Gallego, BR Celli.
Inspiratory capacity, dynamic hyperinflation, breathlessness and exercise performance during the 6-minute walk test in chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 163 (2001), pp. 1395-1399
[7]
MJ Belman, WC Botnick, JW Shin.
Inhaled bronchodilators reduce dynamic hyperinflation during exercise in patients with chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 153 (1996), pp. 967-975
[8]
J Manríquez, O Díaz, G Borzone, C Lisboa.
Reversibilidad espirométrica en la enfermedad pulmonar obstructiva crónica: efecto diferencial del salbutamol sobre el volumen espiratorio forzado del primer segundo y del volumen pulmonar.
Rev Med Chile, 132 (2004), pp. 787-793
[9]
B Celli, R Zu Wallack, S Wang, S Kesten.
Improvement in resting inspiratory capacity and hyperinflation with tiotropium in COPD patients with increased static lung volumes.
Chest, 124 (2003), pp. 1743-1748
[10]
DE O'Donnell, C D'Arsigny, KA Webb.
Effects of hyperoxia on ventilatory limitation during exercise in advanced chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 163 (2001), pp. 892-898
[11]
JA Marín.
Viejos y nuevos criterios para clasificar la EPOC.
Arch Bronconeumol, 40 (2004), pp. 9-15
[12]
C Casanova, C Cote, JP De Torres, A Aguirre-Jaime, JM Marín, V Pinto-Plata.
Inspiratory-to-total lung capacity ratio predicts mortality in patients with chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 171 (2005), pp. 591-597
[13]
J Roca, F Burgos, JA Barberá, J Sunyer, R Rodríguez Roisin, J Castellsague, et al.
Prediction equations for plethysmographic lung volumes.
Respir Med, 92 (1998), pp. 454-460
[14]
C Tantucci, V Pinelli, S Cossi, M Guerini, F Donato, V Grassi.
The SARA Study Group. Reference values and repeatability of inspiratory capacity for men and women aged 65-85 yrs.
Respir Med, 100 (2006), pp. 871-877
[15]
PH Quanjer, GJ Tammeling, JE Cotes, OF Pedersen, R Peslin, JC Yernault.
Lung volumes and forced expiratory flows. Report of the working party: standardization of lung function tests. European Community for Steel and Coal.
Eur Respir J, 6 (1993), pp. 5-40
[16]
ATS/ERS Task Force.
Standardisation of spirometry.
Eur Respir J, 26 (2005), pp. 319-338
[17]
RJ Knudson, MD Lebowitz, CJ Holberg, B Burrows.
Changes in the normal maximal expiratory flow volume curve with growth and aging.
Am Rev Respir Dis, 127 (1983), pp. 725-734
[18]
R Azen, DV Budescu.
The dominance analysis approach for comparing predictors in multiple regression.
Psychol Methods, 8 (2003), pp. 129-148
[19]
P Diaconis, B Efron.
Computer-intensive methods in statistics.
Scientific American, 248 (1983), pp. 116-130
[20]
WC Lee, JL Rodgers.
Bootstrapping correlation coefficients using univariate and bivariate sampling.
Psychol Methods, 3 (1998), pp. 91-103
[21]
R Harik-Khan, JL Fleg, DC Muller, RA Wise.
The effect of anthropometric and socioeconomic factors on the racial difference in lung function.
Am J Respir Crit Care Med, 164 (2001), pp. 1647-1654
[22]
F Pistelli, M Bottai, G Viegi, F Di Pede, L Carrozi, S Baldacci, et al.
Smooth reference equations for slow vital capacity and flow-volume curve indexes.
Am J Respir Crit Care Med, 161 (2000), pp. 899-905
[23]
Instituto Nacional de Estadísticas de Chile.
Censo poblacional y de vivienda 2002.
[24]
R Pérez-Padilla, G Valdivia, A Muiño, MV López, MN Márquez, M Montes de Oca, et al.
Valores de referencia espirométrica en 5 grandes ciudades de Latinoamérica para sujetos de 40 o más años de edad.
Arch Bronconeumol, 42 (2006), pp. 317-325
[25]
PL Enright, LR Jonhson, JE Connett, H Voelker, AS Buist.
Spirometry in the lung health study.
Am Rev Respir Dis, 143 (1991), pp. 1215-1223
[26]
RO Crapo.
Spirometry: quality control and reproducibility criteria.
Am Rev Respir Dis, 143 (1991), pp. 1212-1213

This study was funded by the Fondecyt Project (1010993).

Copyright © 2007. Sociedad Española de Neumología y Cirugía Torácica (SEPAR)
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