Open Access Open Access  Restricted Access Subscription Access

Diagnostic Value of Oscillation Technique for Chronic Obstructive Pulmonary Disease: A Meta-Analysis


Affiliations
1 West China School of Medicine, West China Hospital of Sichuan University, 37 GuoXue Street, 610041 Chengdu, China
2 Department of Respiratory Medicine, West China Hospital of Sichuan University, 37 GuoXue Street, 610041 Chengdu, China
 

Many studies have investigated the usefulness of oscillation technique, including forced oscillation technique (FOT) and impulse oscillation technique (IOS), for the diagnosis of chronic obstructive pulmonary disease (COPD). However, the overall diagnostic accuracy of oscillation technique for COPD remains unclear. The aim of the present meta-analysis was to determine the overall accuracy of oscillation techniques for diagnosis of COPD. We performed a systematic search in PubMed and Embase. Data on sensitivity, specificity, positive/negative likelihood ratio (PLR/NLR), and diagnostic odds ratio (DOR) were pooled. Summary receiver operating characteristic (SROC) curves and area under the curve (AUC) were used to summarize overall test performance. Six studies met our inclusion criteria. Summary estimates for oscillation technique in the diagnosis of COPD are as follows: sensitivity - 0.77 (95%CI 0.70-0.83; I2 = 87.6%); specificity - 0.85 (95%CI 0.81-0.88; I2 = 58.4%); PLR - 5.99 (95%CI 2.91-12.34); NLR - 0.16 (95%CI 0.005-0.47); DOR - 47.95 (95%CI 9.99-230.17) and AUC - 0.96. Pooled estimates for FOT were as follows: sensitivity 0.94 (95% CI 0.86-0.98), specificity 0.94 (95% CI 0.86-0.98), PLR 11.48 (95% CI 5.17- 25.48), NLR 0.08 (95% CI 0.03-0.17), DOR 221.8 (95% CI 58.39-842.5), and AUC 0.98. Given its easy to perform and subject-independent nature, our meta-analysis suggests a potential role for oscillation technique in diagnosis of COPD, especially FOT.

Keywords

Chronic Obstructive Pulmonary Disease, Diagnosis, Forced Oscillation Technique, Impulse Oscillation Technique, Meta-Analysis.
User
Notifications
Font Size

  • Pauwels, R. A., Buist, A. S., Calverley, P. M., Jenkins, C. R. and Hurd, S. S., GOLD Scientific Committee. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) workshop summary. Am. J. Respir. Crit. Care Med., 2001, 163(5), 1256–1276.
  • Global Initiative for Chronic Obstructive Lung Disease, Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease. 2010; http://www.goldcopd.org/
  • Marotta, A., Klinnert, M. D., Price, M. R., Larsen, G. L. and Liu, A. H., Impulse oscillometry provides an effective measure of lung dysfunction in 4-year-old children at risk for persistent asthma. J. Allergy Clin. Immunol., 2003, 112(2), 317–322.
  • Ortiz, G. and Menendez, R., The effects of inhaled albuterol and salmeterol in 2- to 5-year-old asthmatic children as measured by impulse oscillometry. J. Asthma, 2002, 39(6), 531–536.
  • Song, T. W., Kim, K. W., Kim, E. S., Kim, K. E. and Sohn, M. H., Correlation between spirometry and impulse oscillometry in children with asthma. Acta Paediatr., 2008, 97(1), 51–54.
  • Faria, A. C., Lopes, A. J., Jansen, J. M. and Melo, P. L., Evaluating the forced oscillation technique in the detection of early smokinginduced respiratory changes. Biomed. Eng. Online, 2009, 25, 8–22.
  • Klug, B. and Bisgaard, H., Measurements of lung function in awake 2–4-year-old asthmatic children during methacholine challenge and acute asthma: a comparison of the impulse oscillation technique, the interrupter technique, and transcutaneous measurement of oxygen versus whole-body plethysmography. Paediatr. Pulmonol., 1996, 21, 290–300.
  • Klug, B., The impulse oscillation technique applied for measurements of respiratory function in young children. Paediatr. Pulmonol., 1997, 16, 240–241.
  • Dubois, A. B., Brody, A. W., Lewis, D. H. and Burgess Jr, B. F., Oscillation mechanics of lungs and chest in man. J. Appl. Physiol., 1956, 8(6), 587–594.
  • Di Mango, A. M. T. G., Lopes, A. J., Jansen, J. M. and Melo, P. L., Changes in respiratory mechanics with increasing degree of airway obstruction in COPD: detection by forced oscillation technique. Respir. Med., 2006,100, 399–410.
  • Bossuyt, P. M. et al., Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. BMJ, 2003, 326, 41–44.
  • Whiting, P., Rutjes, A. W., Reitsma, J. B., Bossuyt, P. M. and Kleijnen, J., The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med. Res. Methodol., 2003, 3, 25.
  • Deville, W. L., Buntinx, F., Bouter, L. M., Montori, V. M., de Vet, H. C., van der Windt, D. A. and Bezemer, P. D., Conducting systematic reviews of diagnostic studies: didactic guidelines. BMC Med. Res. Methodol., 2002, 2, 9.
  • Moses, L. E., Shapiro, D. and Littenberg, B., Combining independent studies of a diagnostic test into a summary ROC curve: data analytic approaches and some additional considerations. Stat. Med., 1993, 12, 1293–1316.
  • Irwig, L., Macaskill, P., Glasziou, P. and Fahey, M., Meta-analytic methods for diagnostic test accuracy. J. Clin. Epidemiol., 1995, 48, 119–130.
  • Vamvakas, E. C., Meta-analyses of studies of the diagnostic accuracy of laboratory tests: a review of the concepts and methods. Arch. Pathol. Lab. Med., 1998, 122, 675–686.
  • Shen, Y. C., Liu, M. Q., Wan, C., Chen, L., Wang, T. and Wen, F. Q., Diagnostic accuracy of vascular endothelial growth factor for malignant pleural effusion: a meta-analysis. Exp. Ther. Med., 2012, 3, 1072–1076.
  • Deeks, J. J., Macaskill, P. and Irwig, L., The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J. Clin. Epidemiol., 2005, 58, 882–893.
  • Higgeens, J., Thompson, S., Deeks, J. and Altman, D., Statistical heterogeneity in systematic reviews of clinical trials: a critical appraisal of guidelines and practice. J. Health Serv. Res. Policy, 2002, 7(1), 51–61.
  • Franqoise, Z., Anne-Marie, L., Hubert, L., Alain, H. and Isabelle, M. M., Forced oscillation technique vs spirometry to assess bronchodilatation in patients with asthma and COPD. Chest, 1995, 108, 41–47.
  • Al-Mutairi, S. S., Sharma, P. N., Al-Alawi, A. and Al-Deen, J. S., Impulse oscillometry: an alternative modality to the conventional pulmonary function test to categorise obstructive pulmonary disorders. Clin. Exp. Med., 2007, 7, 56–64.
  • Amaral, J. L., Faria, A. C., Lopes, A. J., Jansen, J. M. and Melo, P. L., Automatic identification of chronic obstructive pulmonary disease based on forced oscillation measurements and artificial neural networks. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2010, 1394–1397.
  • Silva, K. K., Lopes, A. J., Jansen, J. M. and de Melo, P. L., Total inspiratory and expiratory impedance in patients with severe chronic obstructive pulmonary disease. Clinics, 2011, 66(12), 2085–2091.
  • Mehdi, N. et al., Comparison of impulse osillometry system and spirometry for diagnosis of obstructive lung disorders. Tanaffos, 2011, 10(1), 19–25.
  • Amaral, J. L., Lopes, A. J., Jansen, J. M., Fariac, A. C. and Melo, P. L., Machine learning algorithms and forced oscillation measurements applied to the automatic identification of chronic obstructive pulmonary disease. Computer Methods Prog. Biomed., 2012, 105, 183–193.
  • Sobel, B. J., Tests of ventilatory function not requiring maximal subject effort: the measurement of total respiratory impedance. Am. Rev. Respir. Dis., 1968, 97, 868–879.
  • Jonson, B. D., Beck, K. C., Zeballos, R. J. and Weismen, I. M., Advances in pulmonary laboratory testing. Chest, 1999, 116, 1377–1387.
  • Jones, C. M. and Athanasiou, T., Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests. Ann. Thorac. Surg., 2005, 79, 16–20.
  • Shen, Y. C., Wang, T., Chen, L., Yang, T., Wan, C., Hu, Q. J. and Wen, F. Q., Diagnostic accuracy of adenosine deaminase for tuberculous peritonitis: a meta-analysis. Arch. Med. Sci., 2013, 9(4), 601–607.
  • Glas, A. S., Lijmer, J. G., Prins, M. H., Bonsel, G. J. and Bossuyt, P. M., The diagnostic odds ratio: a single indicator of test performance. J. Clin. Epidemiol., 2003, 56, 1129–1135.
  • Crewe, S. and Rowe, P. C., Research and statistics: likelihood ratio in diagnosis. Pediatr. Rev., 2011, 32, 296–298.
  • Song, F., Sheldon, T. A., Sutton, A. J., Abrams, K. R. and Jones, D. R., Methods for exploring heterogeneity in meta-analysis. Eval. Health Prof., 2001, 24, 126–151.
  • Whiting, P. F. et al., QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann. Intern. Med., 2011, 155(8), 529–536.

Abstract Views: 364

PDF Views: 105




  • Diagnostic Value of Oscillation Technique for Chronic Obstructive Pulmonary Disease: A Meta-Analysis

Abstract Views: 364  |  PDF Views: 105

Authors

Cai-Shuang Pang
West China School of Medicine, West China Hospital of Sichuan University, 37 GuoXue Street, 610041 Chengdu, China
Mei Chen
West China School of Medicine, West China Hospital of Sichuan University, 37 GuoXue Street, 610041 Chengdu, China
Jun Hu
West China School of Medicine, West China Hospital of Sichuan University, 37 GuoXue Street, 610041 Chengdu, China
Fu-Qiang Wen
Department of Respiratory Medicine, West China Hospital of Sichuan University, 37 GuoXue Street, 610041 Chengdu, China

Abstract


Many studies have investigated the usefulness of oscillation technique, including forced oscillation technique (FOT) and impulse oscillation technique (IOS), for the diagnosis of chronic obstructive pulmonary disease (COPD). However, the overall diagnostic accuracy of oscillation technique for COPD remains unclear. The aim of the present meta-analysis was to determine the overall accuracy of oscillation techniques for diagnosis of COPD. We performed a systematic search in PubMed and Embase. Data on sensitivity, specificity, positive/negative likelihood ratio (PLR/NLR), and diagnostic odds ratio (DOR) were pooled. Summary receiver operating characteristic (SROC) curves and area under the curve (AUC) were used to summarize overall test performance. Six studies met our inclusion criteria. Summary estimates for oscillation technique in the diagnosis of COPD are as follows: sensitivity - 0.77 (95%CI 0.70-0.83; I2 = 87.6%); specificity - 0.85 (95%CI 0.81-0.88; I2 = 58.4%); PLR - 5.99 (95%CI 2.91-12.34); NLR - 0.16 (95%CI 0.005-0.47); DOR - 47.95 (95%CI 9.99-230.17) and AUC - 0.96. Pooled estimates for FOT were as follows: sensitivity 0.94 (95% CI 0.86-0.98), specificity 0.94 (95% CI 0.86-0.98), PLR 11.48 (95% CI 5.17- 25.48), NLR 0.08 (95% CI 0.03-0.17), DOR 221.8 (95% CI 58.39-842.5), and AUC 0.98. Given its easy to perform and subject-independent nature, our meta-analysis suggests a potential role for oscillation technique in diagnosis of COPD, especially FOT.

Keywords


Chronic Obstructive Pulmonary Disease, Diagnosis, Forced Oscillation Technique, Impulse Oscillation Technique, Meta-Analysis.

References





DOI: https://doi.org/10.18520/cs%2Fv109%2Fi9%2F1697-1703