Age- and height-based prediction bias in spirometry reference equations
| Autor: | Quanjer, P. H., Hall, G. L., Stanojevic, S., Cole, T. J., Stocks, J., Hankinson, J. L., Enright, P. L., Zheng, J. P., Arets, H. G. M., Barbara, C., Beardsmore, C. S., Ben Saad, H., Brunekreef, B., Burney, P. G. J., Eigen, H., Falaschetti, E., Fallon, B., Gappa, M., Gerbase, M. W., Gislason, T., Gore, C. J., Gulsvik, A., Henderson, A. J., Janson, C., Jenkins, C., Karrasch, S., Kerby, G. S., Ku hr, J., Kuster, S., Lum, S., Mannino, D. M., Marks, G., Nizankowska-Mogilnicka, E., Nystad, W., Perez-Padill, R., Piccioni, P., Pistelli, F., Schulz, H., Soriano, J. B., Tan, W. C., Tomalak, W., Turner, S. W., Vilozni, D., Vlachos, H., West, S., Wouters, E. F. M., Zagami, D. |
|---|---|
| Přispěvatelé: | Pulmonary Medicine |
| Rok vydání: | 2012 |
| Předmět: |
Pulmonary and Respiratory Medicine
Spirometry Adult Male Adolescent Body height Population Vital Capacity Young Adult Age groups Bias Reference Values Forced Expiratory Volume Statistics 80 and over Medicine Humans Prediction Reference equations Age Factors Aged Aged 80 and over Body Height Child Female Lung Middle Aged Prediction bias education Lung function education.field_of_study medicine.diagnostic_test business.industry Reference values business |
| Zdroj: | European Respiratory Journal, 40, 190-197. European Respiratory Society |
| ISSN: | 1399-3003 0903-1936 |
| DOI: | 10.1183/09031936.00161011 |
| Popis: | Prediction bias in spirometry reference equations can arise from combining equations for different age groups, rounding age or height to integers or using self-reported height. To assess the bias arising from these sources, the fit of 13 prediction equations was tested against the Global Lungs Initiative (GLI) dataset using spirometric data from 55,136 healthy Caucasians (54% female). The effects on predicted values of using whole-year age versus decimal age, and of a 1% bias in height, were quantified. In children, the prediction bias relative to GLI ranged from -22% to +17%. Switching equations at 18 yrs of age led to biases of between -846 (-14%) and +1,309 (+38%) mL. Using age in whole years rather than decimal age introduced biases from -8% to +7%, whereas a 1% overestimation of height introduced bias that ranged from +1% to +40%. Bias was greatest in children and adolescents, and in short elderly subjects. Using a single spirometry equation applicable across all ages and populations reduces prediction bias. Measuring and recording age and height accurately are also essential if bias is to be minimised. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|