首页|Role of ascites adenosine deaminase in differentiating between tuberculous peritonitis and peritoneal carcinomatosis
Role of ascites adenosine deaminase in differentiating between tuberculous peritonitis and peritoneal carcinomatosis
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NETL
NSTL
万方数据
维普
AIM:To investigate the usefulness of tumor markers and adenosine deaminase in differentiating between tuberculous peritonitis (TBP) and peritoneal carcinomatosis (PC).METHODS:A retrospective analysis of data was performed on consecutive patients who underwent peritoneoscopic and abdominal computed tomography (CT) evaluations.Among 75 patients at the Seoul National University Hospital from January 2000 to June 2010 who underwent both tests,27 patients (36.0％) and 25 patients (33.3％) were diagnosed with TBP and PC,respectively.Diagnosis was confirmed by peritoneoscopic biopsy.RESULTS:Serum c-reactive protein (7.88 ± 6.62 mg/ dL vs 3.12 ± 2.69 mg/dL,P =0.01),ascites adenosine deaminase (66.76 ± 32.09 IU/L vs 13.89 ± 8.95 IU/L,P ＜ 0.01),ascites lymphocyte proportion (67.77 ± 23.41％ vs 48.36 ± 18.78％,P ＜ 0.01),and serum ascites albumin gradient (0.72±0.49 g/dL vs 1.05 ± 0.50 g/dL,P =0.03) were significantly different between the two groups.Among tumor markers,serum and ascites carcinoembryonic antigen,serum carbohydrate antigen 19-9 showed significant difference between two groups.Abdominal CT examinations showed that smooth involvement of the parietal peritoneum was more common in the TBP group (77.8％ vs 40.7％) whereas nodular involvement was more common in the PC group (14.8％ vs 40.7％,P =0.04).From receiver operating characteristic (ROC) curves ascites adeno sines deaminase (ADA) showed better discriminative capability than tumor markers.An ADA cut-off level of 21 IU/L was found to yield the best results of differential diagnosis; sensitivity,specificity,positive predictive value,and negative predictive value were 92.0％,85.0％,88.5％ and 89.5％,respectively.CONCLUSION:Besides clinical and radiologic findings,ascitic fluid ADA measurement is helpful in the differential diagnosis of TBP and PC.
NETL
NSTL
万方数据
维普
