Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 years
Background Published reference equations for impulse oscillometry (IOS) usually encompass a specific age group but not the entire lifespan. This may lead to discordant predicted values when two or more non-coincident equations can be applied to the same person, or when a person moves from one equati...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
European Respiratory Society
2023-12-01
|
Series: | ERJ Open Research |
Online Access: | http://openres.ersjournals.com/content/9/6/00503-2023.full |
_version_ | 1797362134394339328 |
---|---|
author | Laura Gochicoa-Rangel David Martínez-Briseño Selene Guerrero-Zúñiga Jessica Contreras-Morales Dulce Arias-Jiménez Rodrigo Del-Río-Hidalgo Federico Isaac Hernández-Rocha Cecilio O. Ceballos-Zúñiga Mónica Silva-Cerón Uri De Jesús Mora-Romero Luis Torre-Bouscoulet Rosario Fernández-Plata José E. Pérez-Nieto Mario H. Vargas |
author_facet | Laura Gochicoa-Rangel David Martínez-Briseño Selene Guerrero-Zúñiga Jessica Contreras-Morales Dulce Arias-Jiménez Rodrigo Del-Río-Hidalgo Federico Isaac Hernández-Rocha Cecilio O. Ceballos-Zúñiga Mónica Silva-Cerón Uri De Jesús Mora-Romero Luis Torre-Bouscoulet Rosario Fernández-Plata José E. Pérez-Nieto Mario H. Vargas |
author_sort | Laura Gochicoa-Rangel |
collection | DOAJ |
description | Background
Published reference equations for impulse oscillometry (IOS) usually encompass a specific age group but not the entire lifespan. This may lead to discordant predicted values when two or more non-coincident equations can be applied to the same person, or when a person moves from one equation to the next non-convergent equation as he or she gets older. Thus, our aim was to provide a single reference equation for each IOS variable that could be applied from infancy to old age.
Methods
This was an ambispective cross-sectional study in healthy nonsmokers, most of whom lived in Mexico City, who underwent IOS according to international standards. A multivariate piecewise linear regression, also known as segmented regression, was used to obtain reference equations for each IOS variable.
Results
In a population of 830 subjects (54.0% female) aged 2.7 to 90 years (54.8% children ≤12 years), segmented regression estimated two breakpoints for age in almost all IOS variables, except for R5−R20 in which only one breakpoint was detected. With this approach, multivariate regressions including sex, age, height and body mass index as independent variables were constructed, and coefficients for calculating predicted value, lower and upper limits of normal, percentage of predicted and z-score were obtained.
Conclusions
Our study provides IOS reference equations that include the major determinants of lung function, i.e. sex, age, height and body mass index, that can be easily implemented for subjects of almost any age. |
first_indexed | 2024-03-08T16:03:05Z |
format | Article |
id | doaj.art-f451890137ec448eabd8a554ce61d0a2 |
institution | Directory Open Access Journal |
issn | 2312-0541 |
language | English |
last_indexed | 2024-03-08T16:03:05Z |
publishDate | 2023-12-01 |
publisher | European Respiratory Society |
record_format | Article |
series | ERJ Open Research |
spelling | doaj.art-f451890137ec448eabd8a554ce61d0a22024-01-08T09:57:44ZengEuropean Respiratory SocietyERJ Open Research2312-05412023-12-019610.1183/23120541.00503-202300503-2023Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 yearsLaura Gochicoa-Rangel0David Martínez-Briseño1Selene Guerrero-Zúñiga2Jessica Contreras-Morales3Dulce Arias-Jiménez4Rodrigo Del-Río-Hidalgo5Federico Isaac Hernández-Rocha6Cecilio O. Ceballos-Zúñiga7Mónica Silva-Cerón8Uri De Jesús Mora-Romero9Luis Torre-Bouscoulet10Rosario Fernández-Plata11José E. Pérez-Nieto12Mario H. Vargas13 Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Hospital Central Militar, Mexico City, Mexico Hospital General de Zona 1, Instituto Mexicano del Seguro Social, Pachuca, Mexico Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Department of Respiratory Physiology, BreathBaja, Mexicali, Mexico Department of Respiratory Physiology, BreathBaja, Mexicali, Mexico Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Pulmonary Function Test Laboratory, Institute for Development and Innovation in Respiratory Physiology (INFIRE), Mexico City, Mexico Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Universidad Popular Autónoma del Estado de Puebla, Puebla, México Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico Background Published reference equations for impulse oscillometry (IOS) usually encompass a specific age group but not the entire lifespan. This may lead to discordant predicted values when two or more non-coincident equations can be applied to the same person, or when a person moves from one equation to the next non-convergent equation as he or she gets older. Thus, our aim was to provide a single reference equation for each IOS variable that could be applied from infancy to old age. Methods This was an ambispective cross-sectional study in healthy nonsmokers, most of whom lived in Mexico City, who underwent IOS according to international standards. A multivariate piecewise linear regression, also known as segmented regression, was used to obtain reference equations for each IOS variable. Results In a population of 830 subjects (54.0% female) aged 2.7 to 90 years (54.8% children ≤12 years), segmented regression estimated two breakpoints for age in almost all IOS variables, except for R5−R20 in which only one breakpoint was detected. With this approach, multivariate regressions including sex, age, height and body mass index as independent variables were constructed, and coefficients for calculating predicted value, lower and upper limits of normal, percentage of predicted and z-score were obtained. Conclusions Our study provides IOS reference equations that include the major determinants of lung function, i.e. sex, age, height and body mass index, that can be easily implemented for subjects of almost any age.http://openres.ersjournals.com/content/9/6/00503-2023.full |
spellingShingle | Laura Gochicoa-Rangel David Martínez-Briseño Selene Guerrero-Zúñiga Jessica Contreras-Morales Dulce Arias-Jiménez Rodrigo Del-Río-Hidalgo Federico Isaac Hernández-Rocha Cecilio O. Ceballos-Zúñiga Mónica Silva-Cerón Uri De Jesús Mora-Romero Luis Torre-Bouscoulet Rosario Fernández-Plata José E. Pérez-Nieto Mario H. Vargas Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 years ERJ Open Research |
title | Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 years |
title_full | Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 years |
title_fullStr | Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 years |
title_full_unstemmed | Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 years |
title_short | Reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2.7–90 years |
title_sort | reference equations using segmented regressions for impulse oscillometry in healthy subjects aged 2 7 90 years |
url | http://openres.ersjournals.com/content/9/6/00503-2023.full |
work_keys_str_mv | AT lauragochicoarangel referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT davidmartinezbriseno referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT seleneguerrerozuniga referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT jessicacontrerasmorales referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT dulceariasjimenez referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT rodrigodelriohidalgo referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT federicoisaachernandezrocha referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT ceciliooceballoszuniga referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT monicasilvaceron referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT uridejesusmoraromero referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT luistorrebouscoulet referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT rosariofernandezplata referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT joseepereznieto referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years AT mariohvargas referenceequationsusingsegmentedregressionsforimpulseoscillometryinhealthysubjectsaged2790years |