Use of a Variety of Biological Parameters in Distinguishing Cirrhotic from Malignant Ascites

Author:

Alexandrakis M.G.1,Moschandrea J.2,Kyriakou D.S.1,Alexandraki R.3,Kouroumalis E.4

Affiliation:

1. Department of Hematology, University Hospital of Heraklion, School of Medicine, University of Crete

2. Department of Social Medicine, School of Medicine, University of Crete

3. Venizelion General Hospital, Heraklion, Crete

4. Department of Gastroenterology, University Hospital of Heraklion, School of Medicine, University of Crete - Greece

Abstract

Twenty-two different protein measurements were taken in the serum and ascitic fluid of fifty consecutive patients in an attempt to investigate which tests are the most reliable for the differential diagnosis of ascites. Serum and ascitic fluid total proteins (TPR), albumin (ALB), lactate (LAC), ferritin (FER), C3 and C4 complement factors, C-reactive protein (CRP), ceruloplasmin (CER), α2-macroglobulin (α2MG), haptoglobin (HAP), α1-antitrypsin (α1AT), α1-acid glycoprotein (α1AG), transferrin (TRF), immunoglobulins IgG, IgA, IgM and cytokines such as interleukin-1α (IL-1α), interleukin-1α (IL-1α), interleukin-2 (IL-2), interleukin-6 (IL-6), interleukin-8 (IL-8) and tumor necrosis factor-alpha (TNF-α) were measured to distinguish between malignant and cirrhotic ascites. Correlations and non-parametric Mann-Whitney tests were used for ascitic fluid:serum ratio comparisons between the two groups. Multivariate analyses were used to determine the most significant biochemical ratio predictors for the differential diagnosis and a recursive partitioning model was constructed. Highly positive correlations (r>0.50) were found between the ratios IgA, IgG, IgM, CER, α2 MG, HAP, α1AT, α1AG and TRF. There was evidence that TPR, ALB, LAC, FER, IgG, CER, α2MG, α1AT, α1AG, TRF and IL-8 ascitic fluid:serum ratios are significnatly higher in patients with malignant neoplasms than in cirrhotics. In the recursive partitioning model the most significant parameters were found to be the ratios of albumin and IL-1a. The model fitted allowed for 100% correct classification of ascites. In conclusion, we have shown that a simple and very accurate model based on two ascitic fluid: serum measurements is able to differentiate between malignant and non-malignant ascites.

Publisher

SAGE Publications

Subject

Cancer Research,Clinical Biochemistry,Oncology,Pathology and Forensic Medicine

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