caa a22 4500 445888369 CHVBK 20180317145607.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s00535-010-0322-5 doi (NATIONALLICENCE)springer-10.1007/s00535-010-0322-5 Pretreatment prediction of response to peginterferon plus ribavirin therapy in genotype 1 chronic hepatitis C using data mining analysis [Elektronische Daten] [Masayuki Kurosaki, Naoya Sakamoto, Manabu Iwasaki, Minoru Sakamoto, Yoshiyuki Suzuki, Naoki Hiramatsu, Fuminaka Sugauchi, Hiroshi Yatsuhashi, Namiki Izumi] Background: This study aimed to develop a model for the pre-treatment prediction of sustained virological response (SVR) to peg-interferon plus ribavirin therapy in chronic hepatitis C. Methods: Data from 800 genotype 1b chronic hepatitis C patients with high viral load (>100,000IU/ml) treated by peg-interferon plus ribavirin at 6 hospitals in Japan were randomly assigned to a model building (n=506) or an internal validation (n=294). Data from 524 patients treated at 29 hospitals in Japan were used for an external validation. Factors predictive of SVR were explored using data mining analysis. Results: Age (<50years), alpha-fetoprotein (AFP) (<8ng/mL), platelet count (≥120×109/l), gamma-glutamyltransferase (GGT) (<40IU/l), and male gender were used to build the decision tree model, which divided patients into 7 subgroups with variable rates of SVR ranging from 22 to 77%. The reproducibility of the model was confirmed by the internal and external validation (r 2=0.92 and 0.93, respectively). When reconstructed into 3 groups, the rate of SVR was 75% for the high probability group, 44% for the intermediate probability group and 23% for the low probability group. Poor adherence to drugs lowered the rate of SVR in the low probability group, but not in the high probability group. Conclusions: A decision tree model that includes age, gender, AFP, platelet counts, and GGT is useful for predicting the probability of response to therapy with peg-interferon plus ribavirin and has the potential to support clinical decisions regarding the selection of patients for therapy. Springer, 2010 Data mining nationallicence Decision tree nationallicence Alpha-fetoprotein nationallicence HCV nationallicence Peg-interferon nationallicence Kurosaki Masayuki Division of Gastroenterology and Hepatology, Musashino Red Cross Hospital, 1-26-1 Kyonan-cho, 180-8610, Musashino, Tokyo, Japan aut Sakamoto Naoya Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan aut Iwasaki Manabu Department of Computer and Information Science, Seikei University, Tokyo, Japan aut Sakamoto Minoru First Department of Internal Medicine, University of Yamanashi, Yamanashi, Japan aut Suzuki Yoshiyuki Department of Hepatology, Toranomon Hospital, Tokyo, Japan aut Hiramatsu Naoki Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Osaka, Japan aut Sugauchi Fuminaka Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan aut Yatsuhashi Hiroshi Clinical Research Center, National Nagasaki Medical Center, Nagasaki, Japan aut Izumi Namiki Division of Gastroenterology and Hepatology, Musashino Red Cross Hospital, 1-26-1 Kyonan-cho, 180-8610, Musashino, Tokyo, Japan aut Journal of Gastroenterology Springer Japan 46/3(2011-03-01), 401-409 0944-1174 46:3<401 2011 46 535 https://doi.org/10.1007/s00535-010-0322-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00535-010-0322-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kurosaki Masayuki Division of Gastroenterology and Hepatology, Musashino Red Cross Hospital, 1-26-1 Kyonan-cho, 180-8610, Musashino, Tokyo, Japan aut NATIONALLICENCE 700 1- Sakamoto Naoya Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan aut NATIONALLICENCE 700 1- Iwasaki Manabu Department of Computer and Information Science, Seikei University, Tokyo, Japan aut NATIONALLICENCE 700 1- Sakamoto Minoru First Department of Internal Medicine, University of Yamanashi, Yamanashi, Japan aut NATIONALLICENCE 700 1- Suzuki Yoshiyuki Department of Hepatology, Toranomon Hospital, Tokyo, Japan aut NATIONALLICENCE 700 1- Hiramatsu Naoki Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Osaka, Japan aut NATIONALLICENCE 700 1- Sugauchi Fuminaka Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan aut NATIONALLICENCE 700 1- Yatsuhashi Hiroshi Clinical Research Center, National Nagasaki Medical Center, Nagasaki, Japan aut NATIONALLICENCE 700 1- Izumi Namiki Division of Gastroenterology and Hepatology, Musashino Red Cross Hospital, 1-26-1 Kyonan-cho, 180-8610, Musashino, Tokyo, Japan aut NATIONALLICENCE 773 0- Journal of Gastroenterology Springer Japan 46/3(2011-03-01), 401-409 0944-1174 46:3<401 2011 46 535 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer