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1.
Eur Respir J ; 30(5): 957-64, 2007 Nov.
Article in English | MEDLINE | ID: mdl-17690119

ABSTRACT

Pleural effusion is a common complication of various diseases. Conventional methods are not always capable of establishing the cause of pleural effusion, so alternative tests are needed. The aim of this study was to explore means of discriminating between different pleural effusion groups, malignant, parapneumonic and tuberculous, based on the combined function of seven biological markers. Adenosine deaminase (ADA), interferon-gamma, C-reactive protein (CRP), carcinoembryonic antigen, interleukin-6, tumour necrosis factor-alpha and vascular endothelial growth factor concentration levels were measured in pleural fluid from 45 patients with malignant, 15 with parapneumonic and 12 with tuberculous pleural effusion. Receiver operating characteristic curve analysis, multinomial logit modelling and canonical variate analysis were applied to discriminate the pleural effusion groups. The three groups could be discriminated successfully using the measured markers. The most important parameters for discrimination were ADA and CRP concentration levels. An individual with an ADA concentration level of >45 U.L(-1) and a CRP concentration of <4 mg.dL(-1) was more likely to belong to the tuberculous pleural effusion group, whereas one with an ADA concentration level of <40 U.L(-1) and a CRP concentration of >6 mg.dL(-1) was more likely to belong to the parapneumonic pleural effusion group, and one with a CRP concentration of <4 mg.dL(-1) to the malignant pleural effusion group. The combination of adenosine deaminase and C-reactive protein levels might be sufficient for discriminating between the three different groups of exudative pleural effusion: malignant, tuberculous and parapneumonic.


Subject(s)
Biomarkers/analysis , Pleural Effusion/diagnosis , Adenosine Deaminase/analysis , Aged , C-Reactive Protein/analysis , Carcinoembryonic Antigen/analysis , Exudates and Transudates , Female , Humans , Interferon-gamma/analysis , Interleukin-6/analysis , Male , Pleural Effusion/etiology , Prospective Studies , ROC Curve , Sensitivity and Specificity , Tumor Necrosis Factor-alpha/analysis , Vascular Endothelial Growth Factor A/analysis
2.
Am J Respir Crit Care Med ; 160(3): 899-905, 1999 Sep.
Article in English | MEDLINE | ID: mdl-10471616

ABSTRACT

This study aimed to investigate whether there was a difference in outcome related to histologic pattern in cryptogenic fibrosing alveolitis (CFA) and to see whether there were correlations between clinical and radiologic findings and histology. One hundred thirteen lung biopsies from consecutive patients taken for the diagnosis of diffuse lung disease were reviewed and reclassified using the Katzenstein and Myers criteria for interstitial pneumonias. Patients lacking full investigational data at presentation and those with conditions predisposing to lung fibrosis were excluded, leaving 15 patients diagnosed with nonspecific interstitial pneumonia (NSIP) and 15 with usual interstitial pneumonia (UIP). Clinical and radiologic findings at presentation and serial lung function information and survival status in November 1998 were compared for the two groups. Survival was found to be significantly greater in the NSIP group compared with the UIP group (p < 0.001). This could not be explained by differences in treatment. Patients with UIP showed a progressive deterioration in lung function whereas those with NSIP remained stable. CT scans of patients with UIP showed more fibrosis than those of patients with NSIP (p < 0.011). A histologic diagnosis of NSIP is associated with a better prognosis than UIP. This subclassification of CFA is clinically useful.


Subject(s)
Lung Diseases, Interstitial/pathology , Pulmonary Fibrosis/pathology , Adult , Aged , Biopsy , Bronchoalveolar Lavage , Chi-Square Distribution , Female , Humans , Lung Diseases, Interstitial/classification , Lung Diseases, Interstitial/drug therapy , Male , Middle Aged , Prognosis , Pulmonary Fibrosis/classification , Pulmonary Fibrosis/drug therapy , Respiratory Function Tests , Statistics, Nonparametric , Survival Analysis , Tomography, X-Ray Computed/methods , Treatment Outcome
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