Red Cell Distribution Width as a Predictor of Survival in Patients with Hepatocellular Carcinoma

Author:

Vidili Gianpaolo1,Zinellu Angelo2ORCID,Mangoni Arduino Aleksander34ORCID,Arru Marco1ORCID,De Murtas Valentina1ORCID,Cuccuru Elena1,Fancellu Alessandro1ORCID,Paliogiannis Panagiotis1ORCID

Affiliation:

1. Department of Medicine, Surgery and Pharmacy, University of Sassari, Viale San Pietro 43a, 07100 Sassari, Italy

2. Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43b, 07100 Sassari, Italy

3. Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia

4. Department of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Bedford Park, SA 5042, Australia

Abstract

Background and Objectives. Hepatocellular carcinoma (HCC) and the intrahepatic biliary tract cancers are estimated to rank sixth for incidence among solid cancers worldwide, and third for mortality rates. A critical issue remains the need for accurate biomarkers for risk stratification and overall prognosis. The aim of this study was to investigate the ability of a biomarker of heterogeneity of the size of red blood cells, the red cell distribution width (RDW), to predict survival in patients with HCC. Materials and Methods. A consecutive series of patients with a histologic diagnosis of HCC were included into this study irrespective of their age, stage of the disease, and treatment administered, and followed-up for a period of three years. Demographic, anthropometric [age, sex, body mass index (BMI)], and clinical data (Charlson Comorbidity Index, Child–Pugh score, etc.), along with laboratory tests were retrieved from clinical records. Results. One-hundred and four patients were included in this study. Among them, 54 (69%) were deceased at the end of the follow-up. Higher RDW values, but not other hematological and biochemical parameters, were significantly associated with mortality in both univariate and multivariate analysis. The optimal RDW cut-off value identified with the Youden test for survival was 14.7%, with 65% sensitivity and 74% specificity (AUC  =  0.718, 95% CI 0.622–0.802, p  <  0.001). Kaplan–Meier survival curves showed significantly lower survival with higher RDW values (HR = 3.5204; 95% CI 1.9680–6.2975, p < 0.0001) with a mean survival of 30.9 ± 9.67 months for patients with RDW ≤ 14.7% and 22.3 ± 11.4 months for patients with RDW > 14.7%. Conclusions. The results of our study showed that RDW can perform better than other blood-based biomarkers in independently predicting prognosis in patients with HCC.

Publisher

MDPI AG

Reference57 articles.

1. (2024, January 07). Global Cancer Observatory. Available online: https://gco.iarc.fr/today/data/factsheets/cancers/11-Liver-fact-sheet.pdf.

2. Pathogenetic, prognostic, and therapeutic role of fatty acid synthase in human hepatocellular carcinoma;Che;Front. Oncol.,2019

3. Annual report to the nation on the status of cancer, part 1: National cancer statistics;Cronin;Cancer,2022

4. Progress and prospects of biomarkers in primary liver cancer;Gao;Int. J. Oncol.,2020

5. The association between systemic immune-inflammation index and chronic obstructive pulmonary disease in adults aged 40 years and above in the United States: A cross-sectional study based on the NHANES 2013-2020;Xu;Front. Med.,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3