Have a personal or library account? Click to login
Evaluation of Indian Prediction Models for Lung Function Parameters: A Statistical Approach Cover

Evaluation of Indian Prediction Models for Lung Function Parameters: A Statistical Approach

By: Ritul Kamal and  Sheela Misra  
Open Access
|Mar 2019

References

  1. 1American Thoracic Societ (ATS). Lung function testing: Selection of reference values and interpretative strategies. American Thoracic Society. Am Rev Respir Dis. 1991; 144(5): 12021218. DOI: 10.1164/ajrccm/144.5.1202
  2. 2Celli BR and MacNee W. Standards for the diagnosis and treatment of patients with COPD: A summary of the ATS/ERS position paper. Eur Respir J. 2004; 23(6): 932946. DOI: 10.1183/09031936.04.00014304
  3. 3British Thoracic Society (BTS). BTS guidelines for the management of chronic obstructive pulmonary disease. The COPD Guidelines Group of the Standards of Care Committee of the BTS. Thorax. 1997; 52 (suppl 5): S128. DOI: 10.1136/thx.52.suppl_5.1
  4. 4Cole TJ, Stanojevic S, Stocks J, Coates AL, Hankinson JL and Wade AM. Age- and size-related reference ranges: A case study of spirometry through childhood and adulthood. Stat Med. 2009; 28(5): 880898. DOI: 10.1002/sim.3504
  5. 5Becklake MR. Concepts of normality applied to the measurement of lung function. Am J Med. 1986; 80(6): 11581164. DOI: 10.1016/0002-9343(86)90678-9
  6. 6Chhabra SK, Kumar R, Gupta U, Rahman M and Dash DJ. Prediction equations for spirometry in adults from northern India. Indian J Chest Dis Allied Sci. 2014; 56(4): 221229.
  7. 7Chhabra SK. Regional variations in vital capacity in adult males in India: Comparison of regression equations from four regions and impact on interpretation of spirometric data. Indian J Chest Dis Allied Sci. 2009; 51(1): 713.
  8. 8Miller MR, Hankinson J, Brusasco V, et al. Standardisation of spirometry. Eur Respir J. 2005; 26(2): 319338. DOI: 10.1183/09031936.05.00034805
  9. 9Knudson RJ, Lebowitz MD, Holberg CJ and Burrows B. Changes in the normal maximal expiratory flow-volume curve with growth and aging. Am Rev Respir Dis. 1983; 127(6): 725734.
  10. 10Godfrey K. Simple linear regression in medical research. N Engl J Med. 1985; 313(26): 16291636. DOI: 10.1056/NEJM198512263132604
  11. 11Hackney O and Hocking RJ. American Statistics Association. Diagnostic techniques for identifying data problem in multiple linear regression. 1979; 9498.
  12. 12Belsley DA, Kuh E and Welsch RE. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. 2005; 571. John Wiley & Sons.
  13. 13Cook RD and Weisberg S. Residuals and Influence in Regression. New York: Chapman and Hall; 1982.
  14. 14Prasad R, Verma S, Agrawal G and Mathur N. Prediction model for peak expiratory flow in North Indian population. Indian J Chest Dis Allied Sci. 2006; 29(10.7): 26.2210.29.
  15. 15Halbert W. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica; 1980.
  16. 16Chinn DJ, Cotes JE and Martin AJ. Modelling the lung function of Caucasians during adolescence as a basis for reference values. Ann Hum Biol. 2006; 33(1): 6477. DOI: 10.1080/03014460500442797
  17. 17Quanjer PH, Borsboom GJ, Brunekreef B, et al. Spirometric reference values for white European children and adolescents: Polgar revisited. Pediatr Pulmonol. 1995; 19(2): 135142. DOI: 10.1002/ppul.1950190209
  18. 18Quanjer PH, Stocks J, Polgar G, Wise M, Karlberg J and Borsboom G. Compilation of reference values for lung function measurements in children. Eur Respir J Supplement. 1989; 4: 184s261s.
  19. 19Cole TJ and Green PJ. Smoothing reference centile curves: The LMS method and penalized likelihood. Stat Med. 1992; 11(10): 13051319. DOI: 10.1002/sim.4780111005
  20. 20Stanojevic S, Wade A and Stocks J. Reference values for lung function: Past, present and future. Eur Respir J. 2010; 36(1): 1219. DOI: 10.1183/09031936.00143209
  21. 21Moher D, Liberati A, Tetzlaff J and Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med. 2009; 151(4): 264269. DOI: 10.7326/0003-4819-151-4-200908180-00135
  22. 22Raju PS, Prasad K, Ramana YV, Ahmed SK and Murthy K. Study on lung function tests and prediction equations in Indian male children. Indian Pediatr. 2003; 40(8): 705712.
  23. 23Gupta CK and Mathur N. Statistical models relating peak expiratory flow rates to age, height, and weight in men and women. J Epidemiol Community Health. 1982; 36(1): 6467. DOI: 10.1136/jech.36.1.64
  24. 24Mathur N, Rastogi SK, Kesavachandran C and Agarwal G. Prediction models for peak expiratory flow rates in North Indian male population based on ordinary and weighted least square estimation. Current Science. 2007; 93(7).
  25. 25Quanjer PH, Stocks J, Cole TJ, Hall GL and Stanojevic S. Influence of secular trends and sample size on reference equations for lung function tests. Eur Respir J. 2011; 37(3): 658664. DOI: 10.1183/09031936.00110010
  26. 26Shivakumar J, Shenoy JP, Karne SL, Biradar SS, Muniyappanavar NS and Nayak GH. Reference models of lung function parameters from FVC maneuver for south Indian male early adolescent population. Natl J Physiol Pharm. 2015; 5(3): 181. DOI: 10.5455/njppp.2015.5.1911201413
  27. 27Vijayan VK, Kuppurao KV, Venkatesan P, Sankaran K and Prabhakar R. Pulmonary function in healthy young adult Indians in Madras. Thorax. 1990; 45(8): 611615. DOI: 10.1136/thx.45.8.611
  28. 28Stanojevic S, Wade A, Stocks J, et al. Reference ranges for spirometry across all ages: A new approach. Am J Respir Crit CareMed. 2008; 177(3): 253260. DOI: 10.1164/rccm.200708-1248OC
  29. 29Anscombe, JF and Tukey, WJ. The examination and analysis of residuals. Technometrics. 1963; 5(2): 141160. DOI: 10.1080/00401706.1963.10490071
  30. 30Draper NR and Smith H. Applied Regression Analysis. 2014; 326. John Wiley & Sons.
  31. 31Friedrich N, Alte D, Völzke H, et al. Reference ranges of serum IGF-1 and IGFBP-3 levels in a general adult population: Results of the Study of Health in Pomerania (SHIP). Growth Hormone IGF Research. 2008; 18(3): 228237. DOI: 10.1016/j.ghir.2007.09.005
  32. 32Koenker R. Quantile Regression (Econometric Society Monographs no. 38). Cambridge University Press; 2005.
  33. 33Loth DW, Ittermann T, Lahousse L, et al. Normal spirometry values in healthy elderly: The Rotterdam Study. Eur J Epidemiol. 2013; 28(4): 329334. DOI: 10.1007/s10654-013-9800-4
  34. 34Rigby RA and Stasinopoulos DM. Generalized additive models for location, scale and shape. Journal of the Royal Statistical Society: Series C. 2005; 54(3): 507554. DOI: 10.1111/j.1467-9876.2005.00510.x
  35. 35Miller MR, Crapo R, Hankinson J, et al. General considerations for lung function testing. Eur Respir J. 2005; 26(1): 153161. DOI: 10.1183/09031936.05.00034505
  36. 36Beydon N, Davis SD, Lombardi E, et al. An official American Thoracic Society/European Respiratory Society statement: Pulmonary function testing in preschool children. Am J Respir Crit Care Med. 2007; 175(12): 13041345. DOI: 10.1164/rccm.200605-642ST
  37. 37Pistelli F, Bottai M, Carrozzi L, et al. Reference equations for spirometry from a general population sample in central Italy. Respir Med. 2007; 101(4): 814825. DOI: 10.1016/j.rmed.2006.06.032
  38. 38Kuster SP, Kuster D, Schindler C, et al. Reference equations for lung function screening of healthy never-smoking adults aged 18–80 years. Eur Respir J. 2008; 31(4): 860868. DOI: 10.1183/09031936.00091407
  39. 39Salvi S, Kumar GA, Dhaliwal RS, et al. The burden of chronic respiratory diseases and their heterogeneity across the states of India: The Global Burden of Disease Study 1990–2016. The Lancet Global Health. 2018; 6(12): e1363e1374. DOI: 10.1016/S2214-109X(18)30409-1
DOI: https://doi.org/10.5334/aogh.2397 | Journal eISSN: 2214-9996
Language: English
Published on: Mar 1, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Ritul Kamal, Sheela Misra, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.