Andrea Casadei-Gardini, Giuseppe Cabibbo, Vincenzo Dadduzio, Giulia Orsi, Ranka Vukotic, Mario Domenico Rizzato, Margherita Rossi, Valeria Guarneri, Sara Lonardi, Dario D'Agostino, Ciro Celsa, Giulia Rovesti, Margherita Rimini, Pietro Andreone, Vittorina Zagonel, Mario Scartozzi, Philip Johnson, Stefano Cascinu, Alessandro Cucchetti
{"title":"Validation and refinement of PROSASH model using the neutrophil-to-lymphocyte ratio in patients with HCC receiving sorafenib","authors":"Andrea Casadei-Gardini, Giuseppe Cabibbo, Vincenzo Dadduzio, Giulia Orsi, Ranka Vukotic, Mario Domenico Rizzato, Margherita Rossi, Valeria Guarneri, Sara Lonardi, Dario D'Agostino, Ciro Celsa, Giulia Rovesti, Margherita Rimini, Pietro Andreone, Vittorina Zagonel, Mario Scartozzi, Philip Johnson, Stefano Cascinu, Alessandro Cucchetti","doi":"10.1002/lci2.12","DOIUrl":null,"url":null,"abstract":"<p>The recently developed PROSASH model is proving to be a useful tool in risk-group discrimination in hepatocellular carcinoma (HCC) patients treated with sorafenib. Several studies highlighted that the neutrophil-to-lymphocyte ratio (NLR) is one of the most important predictors of survival in HCC patients treated with sorafenib. The aims of the present study were to validate the PROSASH model and determine whether the incorporation of inflammatory markers can improve risk stratification. This study included 438 patients. According to the four categories of the PROSASH model, median overall survival (OS) was 20.0, 14.9, 8.5 and 3.0 months respectively (<i>P</i> < .001). The Harrell's c for this categorized model was 0.621. NLR (cut-off 3) stratified OS in each of the PROSASH categories. After reclassification, median OS was 21.0, 15.1, 8.2 and 4.1 months (<i>P</i> < .001). The Harrell's c increased from 0.621 to 0.673 (<i>P</i> = .001). Integrating NLR into the PROSASH model allowed a more accurate classification of the patients in the risk groups.</p>","PeriodicalId":93331,"journal":{"name":"Liver cancer international","volume":"1 1","pages":"6-11"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/lci2.12","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Liver cancer international","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/lci2.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The recently developed PROSASH model is proving to be a useful tool in risk-group discrimination in hepatocellular carcinoma (HCC) patients treated with sorafenib. Several studies highlighted that the neutrophil-to-lymphocyte ratio (NLR) is one of the most important predictors of survival in HCC patients treated with sorafenib. The aims of the present study were to validate the PROSASH model and determine whether the incorporation of inflammatory markers can improve risk stratification. This study included 438 patients. According to the four categories of the PROSASH model, median overall survival (OS) was 20.0, 14.9, 8.5 and 3.0 months respectively (P < .001). The Harrell's c for this categorized model was 0.621. NLR (cut-off 3) stratified OS in each of the PROSASH categories. After reclassification, median OS was 21.0, 15.1, 8.2 and 4.1 months (P < .001). The Harrell's c increased from 0.621 to 0.673 (P = .001). Integrating NLR into the PROSASH model allowed a more accurate classification of the patients in the risk groups.