Dataset Information

Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations.

ABSTRACT: The aim of the Task Force was to derive continuous prediction equations and their lower limits of normal for spirometric indices, which are applicable globally. Over 160,000 data points from 72 centres in 33 countries were shared with the European Respiratory Society Global Lung Function Initiative. Eliminating data that could not be used (mostly missing ethnic group, some outliers) left 97,759 records of healthy nonsmokers (55.3% females) aged 2.5-95 yrs. Lung function data were collated and prediction equations derived using the LMS method, which allows simultaneous modelling of the mean (mu), the coefficient of variation (sigma) and skewness (lambda) of a distribution family. After discarding 23,572 records, mostly because they could not be combined with other ethnic or geographic groups, reference equations were derived for healthy individuals aged 3-95 yrs for Caucasians (n=57,395), African-Americans (n=3,545), and North (n=4,992) and South East Asians (n=8,255). Forced expiratory value in 1 s (FEV(1)) and forced vital capacity (FVC) between ethnic groups differed proportionally from that in Caucasians, such that FEV(1)/FVC remained virtually independent of ethnic group. For individuals not represented by these four groups, or of mixed ethnic origins, a composite equation taken as the average of the above equations is provided to facilitate interpretation until a more appropriate solution is developed. Spirometric prediction equations for the 3-95-age range are now available that include appropriate age-dependent lower limits of normal. They can be applied globally to different ethnic groups. Additional data from the Indian subcontinent and Arabic, Polynesian and Latin American countries, as well as Africa will further improve these equations in the future.

SUBMITTER: Quanjer PH

PROVIDER: S-EPMC3786581 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature

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Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations.

Quanjer Philip H PH Stanojevic Sanja S Cole Tim J TJ Baur Xaver X Hall Graham L GL Culver Bruce H BH Enright Paul L PL Hankinson John L JL Ip Mary S M MS Zheng Jinping J Stocks Janet J

The European respiratory journal 20120627 6

The aim of the Task Force was to derive continuous prediction equations and their lower limits of normal for spirometric indices, which are applicable globally. Over 160,000 data points from 72 centres in 33 countries were shared with the European Respiratory Society Global Lung Function Initiative. Eliminating data that could not be used (mostly missing ethnic group, some outliers) left 97,759 records of healthy nonsmokers (55.3% females) aged 2.5-95 yrs. Lung function data were collated and pr ...[more]

PMID: 22743675

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Project description:Background:Use of different spirometry reference equations can lead to misinterpretation of spirometry results. Currently, no study has been carried out to determine if there is any discordance between the interpretation of spirometry data using the Global Lungs Initiative (GLI) 2012, the Third National Health and Nutrition Examination Survey (NHANES III), the Knudson, and the Siriraj reference equations in Thai people. Therefore, this study aimed to determine differences and agreements regarding spirometry results using the GLI2012, NHANES III, Knudson, and Siriraj reference equations in a Thai population. Methods:A retrospective study was carried out using 2,492 spirometry results from Thai people (age ranged 8-80 years old) who were referred by their physicians for spirometry testing at the Lung Health Center, Maharaj Nakorn Chiang Mai Hospital, Chiang Mai, Thailand between January 2005 and December 2015. The spirometry results were interpreted using four reference equations. Respiratory function patterns were classified as normal, spirometric restriction, obstruction, or mixed defect. The severity of abnormal patterns were classified as mild, moderate, moderately severe, severe or very severe. A Nominal Analysis of Variance (NANOVA) test was used to analyze differences in diagnosis and classification for the degree of severity. The Kappa statistic was used to determine agreements of spirometry results between four reference equations. Results:The differentiation in both spirometry diagnosis and the severity classification were significant across the four reference equations (P<0.001). However, the levels of agreement among the four reference equations were moderate to good (Kappa values ranged from 0.56 to 0.77 for the diagnosis and 0.67 to 0.82 for the severity). Conclusions:The results of this study suggest that the use of the GLI2012, NHANES III, Knudson, and Siriraj reference equations alters the interpretation of spirometry data in this population of Thai adults.

Project description:BackgroundThe 2012 Global Lung Function Initiative (GLI2012) provide multi-ethnic spirometric reference equations (SRE) for the 3-95?year-old age range, but Sub-Saharan African populations are not represented. This study aimed to evaluate the fit of the African-American GLI2012 SRE to a population of healthy urban and peri-urban Zimbabwean school-going children (7-13?years).MethodsSpirometry and anthropometry were performed on black-Zimbabwean children recruited from three primary schools in urban and peri-urban Harare, with informed consent and assent. Individuals with a history or current symptoms of respiratory disease or with a body mass index-z score (BMI)?<?-?2 were excluded. Spirometry z-scores were generated from African-American GLI2012 SRE, which adjust for age, sex, ethnicity and height, after considering all GLI2012 modules. Anthropometry z-scores were generated using the British (1990) reference equations which adjust for age and sex. The African-American GLI2012 z-score distribution for the four spirometry measurements (FVC, FEV1, FEV1/FVC and MMEF) were evaluated across age, height, BMI and school (as a proxy for socioeconomic status) to assess for bias. Comparisons between the African-American GLI2012 SRE and Polgar equations (currently adopted in Zimbabwe) on the percent-predicted derived values were also performed.ResultsThe validation dataset contained acceptable spirometry data from 712 children (344 girls, mean age: 10.5?years (SD 1.81)). The spirometry z-scores were reasonably normally distributed, with all means lower than zero but within the range of ±0.5, indicating a good fit to the African-American GLI2012 SRE. The African-American GLI2012 SRE produced z-scores closest to a normal distribution. Z-scores of girls deviated more than boys. Weak correlations (Pearson's correlation coefficient?<?0.2) were observed between spirometry and anthropometry z-scores, and scatterplots demonstrated no systematic bias associated with age, height, BMI or socioeconomic status. The African-American GLI2012 SRE provided a better fit for Zimbabwean paediatric spirometry data than Polgar equations.ConclusionThe use of African-American GLI2012 SRE in this population could help in the interpretation of pulmonary function tests.

Dataset Information

Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations.

Publications

Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations.

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