Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients.
Identification of disease severity remains a challenge in the management of non-alcoholic steatohepatitis (NASH). Cytokeratin-18 (CK18), is a recently developed non-invasive biomarker for NASH. We aimed to assess the performance of CK18 in disease severity prediction among Taiwanese NASH patients.A...
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Public Library of Science (PLoS)
2017-01-01
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author | Jee-Fu Huang Ming-Lun Yeh Chung-Feng Huang Ching-I Huang Pei-Chien Tsai Chi-Ming Tai Hua-Ling Yang Chia-Yen Dai Meng-Hsuan Hsieh Shinn-Chern Chen Ming-Lung Yu Wan-Long Chuang |
author_facet | Jee-Fu Huang Ming-Lun Yeh Chung-Feng Huang Ching-I Huang Pei-Chien Tsai Chi-Ming Tai Hua-Ling Yang Chia-Yen Dai Meng-Hsuan Hsieh Shinn-Chern Chen Ming-Lung Yu Wan-Long Chuang |
author_sort | Jee-Fu Huang |
collection | DOAJ |
description | Identification of disease severity remains a challenge in the management of non-alcoholic steatohepatitis (NASH). Cytokeratin-18 (CK18), is a recently developed non-invasive biomarker for NASH. We aimed to assess the performance of CK18 in disease severity prediction among Taiwanese NASH patients.A total of 76 biopsy-proven NASH patients (54 males, age = 41.0 ± 13.5 years) were consecutively recruited. The optimal cutoff values of CK18 for each stage of fibrosis were correlated with their histopathological manifestations.There were 23 (30.3%) patients of Metavir fibrosis stage 0 (F0), 32 (42.1%) patients of F1, 14 (18.4%) patients of F2, and 7 (9.2%) patients of F3-4, respectively. The CK18 levels among those patients of F0, F1, F2, F3-4 were 86.7 ± 75.6 U/L, 122.4 ± 123.8 U/L, 160.7 ± 120.4 U/L, and 507.3 ± 343 U/L, respectively (trend for P<0.001). The adjusted optimal cutoff value for F2 prediction was 312.5 U/L, yielding the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the accuracy of 96.4%, 28.6%, 77.9%, 75%, and 77.6%, respectively (P = 0.009). For the prediction of advanced fibrosis (F3-4), the adjusted optimal cutoff value was 374.5 U/L, yielding the sensitivity, specificity, PPV, NPV, and the accuracy of 97.1%, 54.1%, 95.7%, 66.7%, and 77.6%, respectively (P = 0.003). Among those patients without hyperuricemia, the PPV, NPV, and accuracy of CK18 reached 100%, 95.8%, and 96%, respectively (P<0.001).CK18 combined with uric acid measurement is a promising non-invasive biomarker for prediction of disease severity in NASH patients.ClinicalTrials.gov NCT01068444. |
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spelling | doaj.art-a0f88e61370e41628f8efb98796edca42022-12-22T00:00:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01125e017439410.1371/journal.pone.0174394Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients.Jee-Fu HuangMing-Lun YehChung-Feng HuangChing-I HuangPei-Chien TsaiChi-Ming TaiHua-Ling YangChia-Yen DaiMeng-Hsuan HsiehShinn-Chern ChenMing-Lung YuWan-Long ChuangIdentification of disease severity remains a challenge in the management of non-alcoholic steatohepatitis (NASH). Cytokeratin-18 (CK18), is a recently developed non-invasive biomarker for NASH. We aimed to assess the performance of CK18 in disease severity prediction among Taiwanese NASH patients.A total of 76 biopsy-proven NASH patients (54 males, age = 41.0 ± 13.5 years) were consecutively recruited. The optimal cutoff values of CK18 for each stage of fibrosis were correlated with their histopathological manifestations.There were 23 (30.3%) patients of Metavir fibrosis stage 0 (F0), 32 (42.1%) patients of F1, 14 (18.4%) patients of F2, and 7 (9.2%) patients of F3-4, respectively. The CK18 levels among those patients of F0, F1, F2, F3-4 were 86.7 ± 75.6 U/L, 122.4 ± 123.8 U/L, 160.7 ± 120.4 U/L, and 507.3 ± 343 U/L, respectively (trend for P<0.001). The adjusted optimal cutoff value for F2 prediction was 312.5 U/L, yielding the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the accuracy of 96.4%, 28.6%, 77.9%, 75%, and 77.6%, respectively (P = 0.009). For the prediction of advanced fibrosis (F3-4), the adjusted optimal cutoff value was 374.5 U/L, yielding the sensitivity, specificity, PPV, NPV, and the accuracy of 97.1%, 54.1%, 95.7%, 66.7%, and 77.6%, respectively (P = 0.003). Among those patients without hyperuricemia, the PPV, NPV, and accuracy of CK18 reached 100%, 95.8%, and 96%, respectively (P<0.001).CK18 combined with uric acid measurement is a promising non-invasive biomarker for prediction of disease severity in NASH patients.ClinicalTrials.gov NCT01068444.http://europepmc.org/articles/PMC5417412?pdf=render |
spellingShingle | Jee-Fu Huang Ming-Lun Yeh Chung-Feng Huang Ching-I Huang Pei-Chien Tsai Chi-Ming Tai Hua-Ling Yang Chia-Yen Dai Meng-Hsuan Hsieh Shinn-Chern Chen Ming-Lung Yu Wan-Long Chuang Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients. PLoS ONE |
title | Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients. |
title_full | Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients. |
title_fullStr | Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients. |
title_full_unstemmed | Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients. |
title_short | Cytokeratin-18 and uric acid predicts disease severity in Taiwanese nonalcoholic steatohepatitis patients. |
title_sort | cytokeratin 18 and uric acid predicts disease severity in taiwanese nonalcoholic steatohepatitis patients |
url | http://europepmc.org/articles/PMC5417412?pdf=render |
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