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Tsochatzis, Emmanuel; Bruno, Sara; Isgro, Graziella; Hall, Andrew; Theocharidou, Eleni; Manousou, Pinelopi; Dhillon, Amar P; Burroughs, Andrew K; Luong, Tu Vinh
Journal of hepatology, 05/2014, Letnik: 60, Številka: 5Journal Article
Background & Aims One-year survival in cirrhosis ranges from 1 to 57% depending on the clinical stage. Accurate sub-classification has important prognostic implications but there is no stage beyond cirrhosis using current qualitative histological systems. We compared the performance of all histological semi-quantitative and quantitative methods specifically developed for sub-classifying cirrhosis that have been described to date, with collagen proportionate area (CPA), to evaluate how well they distinguish patients with and without hepatic clinical decompensation at presentation, and in predicting future decompensating events. Methods We included consecutive patients with a histological diagnosis of cirrhosis that had a suitable liver biopsy between 2003 and 2007. We used semi-quantitative histological scoring systems proposed by Laennec, Kumar, and Nagula. We also measured quantitatively nodule size, septal width and fibrous tissue expressed in CPA. Results Sixty-nine patients, mean age 52.3 ± 11 years, mean MELD 11.8 ± 5.8, median follow-up 56 months. Main aetiologies were alcohol (38%) and hepatitis C (27.5%). Twenty-four patients (34.8%) had had a previous episode of clinical decompensation. Amongst the 45 patients who were compensated, 11 (24%) decompensated on follow-up. In Cox regression, amongst all histological parameters, CPA was the only variable independently associated with clinical decompensation up to the time of biopsy, with an odds ratio that ranged from 1.245 to 1.292. Furthermore, only CPA was significantly associated with future decompensation (OR: 1.117, 95% CI 1.020–1.223; p = 0.017). Conclusions Cirrhosis can be accurately sub-classified using quantification of fibrosis with CPA, and furthermore CPA is the only independent predictor of clinical decompensation amongst all other histological sub-classification systems described to date.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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