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Support Care Cancer ; 25(8): 2399-2403, 2017 08.
Article in English | MEDLINE | ID: mdl-28258502

ABSTRACT

PURPOSE: Early recognition of neoplastic pericarditis (npe) is crucial for the planning of subsequent therapy. The aim of the present study was to construct the scoring system assessing the probability of npe, in the patients requiring pericardial fluid (pf) drainage due to large pericardial effusion. METHODS: One hundred forty-six patients, 74 males and 72 females, entered the study. Npe based on positive pf cytology and/or pericardial biopsy specimen was recognised in 66 patients, non-npe in 80. Original scoring system was constructed based on parameters with the highest diagnostic value: mediastinal lymphadenopathy on chest CT scan, increased concentration of tumour markers (cytokeratin 19 fragments-Cyfra 21-1 and carcinoembryonic antigen-CEA) in pf, bloody character of pf, signs of imminent cardiac tamponade on echocardiography and tachycardia exceeding 90 beats/min on ECG. Each parameter was scored with positive or negative points depending on the positive and negative predictive values (PPV, NPV). RESULTS: The area under curve (AUC) for the scoring system was 0.926 (95%CI 0.852-0.963) and it was higher than AUC for Cyfra 21-1 0.789 (95%CI 0.684-0.893) or CEA 0.758 (95%CI 0.652-0.864). The score optimally discriminating between npe and non-npe was 0 points (sensitivity 0.84, specificity 0.91, PPV 0.9, NPV 0.85). CONCLUSION: Despite chest CT and tumour marker evaluation in pericardial fluid were good discriminators between npe and non-npe, the applied scoring system further improved the predicting of neoplastic disease in the studied population.


Subject(s)
Carcinoembryonic Antigen/metabolism , Cardiac Tamponade/therapy , Pericardial Effusion/complications , Pericarditis/diagnosis , Tomography, X-Ray Computed/methods , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor , Female , Humans , Male , Middle Aged , Pericardial Effusion/pathology , Pericarditis/etiology , Retrospective Studies , Young Adult
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