Discrimination of exudative pleural effusions based on multiple biological parameters

European Respiratory Journal

Volumn 30, Issue 5, 2007, Pages 957-964

  Daniil, Z D ^a   Zintzaras, E ^a,b   Kiropoulos, T ^a   Papaioannou, A I ^a   Koutsokera, A ^a   Kastanis, A ^a   Gourgoulianis, K I ^a  

^a UNIVERSITY OF THESSALY   (Greece)

^b TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Adenosine deaminase; Biological markers; C reactive protein; Diagnostic rule; Discrimination and classification; Pleural effusion

Indexed keywords

ADENOSINE DEAMINASE; BIOLOGICAL MARKER; C REACTIVE PROTEIN; CARCINOEMBRYONIC ANTIGEN; GAMMA INTERFERON; INTERLEUKIN 6; TUMOR NECROSIS FACTOR ALPHA; VASCULOTROPIN;

AGED; ARTICLE; CONTROLLED STUDY; DISEASE CLASSIFICATION; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PLEURA EFFUSION; PLEURA FLUID; PRIORITY JOURNAL; PROTEIN FUNCTION; ROC CURVE;

ADENOSINE DEAMINASE; AGED; BIOLOGICAL MARKERS; C-REACTIVE PROTEIN; CARCINOEMBRYONIC ANTIGEN; EXUDATES AND TRANSUDATES; FEMALE; HUMANS; INTERFERON TYPE II; INTERLEUKIN-6; MALE; PLEURAL EFFUSION; PROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY; TUMOR NECROSIS FACTOR-ALPHA; VASCULAR ENDOTHELIAL GROWTH FACTOR A;

EID: 38849137958     PISSN: 09031936     EISSN: None     Source Type: Journal    
DOI: 10.1183/09031936.00126306     Document Type: Article

References (34)

1. Marel M, Zrustova M, Stasny B, Light RW. The incidence of pleural effusion in a well-defined region. Epidemiologic study in central Bohemia. Chest 1993; 104: 1486-1489.
2. Giusti G. Adenosine deaminase. In: Methods of Enzymatic Analysis. Bergmeyer HU, ed. New York, Academic Press, 1974; pp. 1092-1099.
3. Zintzaras E, Germenis AE. Diagnostic performance of antibodies against tissue transglutaminase for the diagnosis of coeliac disease: meta-analysis. Clin Vaccine Immun 2006; 13: 15-28.
4. Jobson JD. Applied Multivariate Data Analysis. New York, Springer, 1992.
5. Zintzaras E, Brown NP, Kowald A. Growing a classification tree using the apparent misclassification rate. Comput Appl Biosci 1994; 10: 263-271.
6. Zintzaras E, Margaritopoulos J, Tsitsipis J. Statistical tree classification of aphids based on morphological characters. Comp Electron Agric 1999; 24: 165-175.
7. Zintzaras E. Statistical assessment of the synergistic effect between a vaccine and a drug. J Pharm Pharmacol 1992; 44: 873-874.
8. Porcel JM, Vives M Esquerda A. Tumor necrosis factor-α in pleural fluid. A marker of complicated parapneumonic effusions. Chest 2004; 125: 160-164.
9. Yokoyama A, Kohno N, Fujino S, Abe M, Ishida O, Hiwada K. Soluble interleukin-6 receptor levels in pleural effusions. Respir Med 1996; 90: 329-332.
10. 1/ADAp ratio in pleural tuberculosis: an excellent diagnostic parameter in pleural fluid. Respir Med 1999; 93: 816-821.
11. Villegas MV, Labrada LA, Saravia MG. Evaluation of polymerase chain reaction, adenosine deaminase, and interferon-γ in pleural fluid for differential diagnosis of pleural tuberculosis. Chest 2000; 118: 1355-1364.
12. Ferrer J. Pleural tuberculosis. Eur Respir J 1997; 10: 942-947.
13. Goto M, Noguchi Y, Koyama H, Hira K, Shimbo T, Fukui T. Diagnostic value of adenosine deaminase in tuberculous pleural effusion: a meta-analysis. Ann Clin Biochem 2003; 40: 374-381.
14. Chen ML, Yu WC, Lam CW, Au KM, Kong FY, Chan A. Diagnostic value of pleural fluid adenosine deaminase activity in tuberculous pleurisy. Clin Chim Acta 2004; 341: 101-107.
15. Barnes PF, Fong SJ, Brennan PJ, Twomey PE, Mazumder A, Modlin RL. Local production of tumor necrosis factor and IFN-α in tuberculous pleuritis. J Immunol 1990; 145: 149-154.
16. Soderblom T, Nyberg P, Teppo AM, Klockars M, Riska H, Petterson T. Pleural fluid interferon-γ and tumour necrosis factor-α in tuberculous and rheumatoid pleurisy. Eur Respir J 1996; 9: 1652-1655.
17. Opal SM, DePalo VA. Anti-inflammatory cytokines. Chest 2000; 117: 1162-1172.
18. Agrenius V, Gustafsson LE, Widstrom O. Tumour necrosis factor-α and nitric oxide, determined as nitrite, in malignant pleural effusion. Respir Med 1994; 88: 743-748.
19. Okamura JM, Miyagi JM, Terada K, Hokama Y. Potential clinical applications of C-reactive protein. J Clin Lab Anal 1990; 4: 231-235.
20. Castano Vidriales JL, Amores Antequera C. Use of pleural fluid C-reactive protein in laboratory diagnosis of pleural effusions. Eur J Med 1992; 1: 201-207.
21. Turay UY, Yildirim Z, Turkoz Y, et al. Use of pleural fluid C-reactive protein in diagnosis of pleural effusions. Respir Med 2000; 94: 432-435.
22. Chang D-S, Rodriguez RM, Perkett EA, et al. Vascular endothelial growth factor in pleural fluid. Chest 1999; 116: 760-765.
23. Thickett DR, Armstrong L, Millar AB. Vascular endothelial growth factor (VEGF) in inflammatory and malignant pleural effusions. Thorax 1999; 54: 707-710.
24. Niklinski J, Furman M. Clinical tumour markers in lung cancer. Eur J Cancer Prev 1995; 4: 129-138.
25. Sculier JP, Body JJ, Jacobowitz D, Fruhling J. Value of CEA determination in biological fluids and tissues. Eur J Cancer Clin Oncol 1987; 23: 1091-1093.
26. Ferrer J, Villarino MA, Encabo G, et al. Diagnostic utility of CYFRA 21-1, carcinoembryonic antigen, CA 125, neuron specific enolase, and squamous cell antigen level determinations in the serum and pleural fluid of patients with pleural effusions. Cancer 1999; 86: 1488-1495.
27. Villena V, Lopez-Encuentra A, Echave-Sustaeta J, Martin-Escribano P, Ortuno-de-Solo B, Estenoz-Alfano J. Diagnostic value of CA 72-4, carcinoembryonic antigen, CA 15-3, and CA 19-9 assay in pleural fluid: a study of 207 patients. Cancer 1996; 78: 736-740.
28. Lee JH, Chang JH. Diagnostic utility of serum and pleural fluid carcinoembryonic antigen, neuron-specific enolase, and cytokeratin 19 fragments in patients with effusions from primary lung cancer. Chest 2005; 128: 2298-2303.
29. Garcia-Pachon E, Padilla-Navas I, Dosda D, Miralles-Llopis A. Elevated level of carcinoembryonic antigen in nonmalignant pleural effusions. Chest 1997; 111: 643-647.
30. Raudys S, Pikelis V. On dimensionality, sample size, classification error and complexity of classification algorithm in pattern recognition. IEEE Trans Pattern Anal Mach Intell 1980; 2: 242-252.
31. Wharton SW. An analysis of the effects of sample size on classification performance of a histogram based cluster analysis procedure. Pattern Recognit 1984; 17: 239-244.
32. Boulesteix AL, Tutz G, Strimmer K. A CART-based approach to discover emerging patterns in microarray data. Bioinformatics 2003; 18: 2465-2472.
33. Zintzaras E, Brown NP, Kowald A. Non-parametric classification of secondary protein structures. Comput Biol Med 2005; 36: 145-156.
34. Zintzaras E, Bouka P, Kowald A. Biometrical evaluation of bioequivalence trials using a bootstrap individual direct curve comparison method. Eur J Drug Metab Pharmacokinet 2002; 27: 11-16.