title: A physiologically based model for spirometric reference equations in adults.
abstract: A spirometric reference equation consists of a mathematical model with constants and coefficients optimized to fit a specific data set from healthy individuals. Commonly applied models are selected on statistical rather than physiological considerations. A predetermined model with constants and coefficients optimized to various populations would enable interpretable and interesting comparisons between populations. Lubiński and Gólczewski recently presented a piecewise linear model with constants and coefficients claimed to be physiologically interpretable (Lubiński model). Three questions were addressed: Is the Lubiński model as useful clinically as other models: multiple linear, piecewise polynomial and exponential with splines? Will reference equations based on the Lubiński model and optimized to a Swedish and to a Polish population allow for interpretable comparisons? Are three well-known reference equations clinically useful in the Swedish adult population? A recent Swedish random population sample with high-quality spirometric measurements enabled the present analyses. When optimized to fit the Swedish population sample, the Lubiński model and two other models provided accurate predictive normal values. Interesting differences were demonstrated between the Polish and Swedish populations. The proportion of subjects below lower limit normal was adequate for the piecewise polynomial equations but too low and not clinically useful for the advocated exponential equations with splines. It is concluded that the Lubiński model is clinically as useful as other models, and it adds important value and is recommended for future spirometric reference equations for adults. The advocated exponential equations with splines are not recommended for Swedish adults because of too wide normal limits.
authors.affiliation: Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
authors.forename: Jonas
authors.initials: J
authors.lastname: Brisman
authors.affiliation: Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
authors.forename: Jeong-Lim
authors.initials: JL
authors.lastname: Kim
authors.affiliation: Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
authors.forename: Anna-Carin
authors.initials: AC
authors.lastname: Olin
authors.affiliation: Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.|Occupational Medicine, Respiratory Diseases and Toxicology, University of Perugia, Perugia, Italy.
authors.forename: Kjell
authors.initials: K
authors.lastname: Torén
authors.affiliation: Respiratory Medicine and Allergology, Sahlgrenska University Hospital, Gothenburg, Sweden.
authors.forename: Björn
authors.initials: B
authors.lastname: Bake
mesh_terms: D000328:Adult; D000375:Aging / Q000502:physiology*; D000465:Algorithms; D000886:Anthropometry / Q000379:methods*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017678:Sex Distribution; D013147:Spirometry / Q000379:methods* / Q000592:standards*
keywords: adults; general population sample; lower limit normal; lung function; normal values; prediction