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红细胞分布宽度作为乙型肝炎病毒相关性肝细胞癌潜在有价值的生存预测指标。

Red Blood Cell Distribution Width as a Potential Valuable Survival Predictor in Hepatitis B Virus-related Hepatocellular Carcinoma.

机构信息

Central Laboratory, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China.

Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University (900TH Hospital of Joint Logistics Support Force), Fuzhou, Fujian, 350025, China.

出版信息

Int J Med Sci. 2023 May 29;20(7):976-984. doi: 10.7150/ijms.79619. eCollection 2023.

DOI:10.7150/ijms.79619
PMID:37324183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10266047/
Abstract

Red blood cell distribution width (RDW) is a widely used clinical parameter recently deployed in predicting various cancers. This study aimed to evaluate the prognostic value of RDW in patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). We conducted a retrospective study of 745 patients with HBV-related HCC, 253 patients with chronic hepatitis B (CHB), and 256 healthy individuals to compare their hematological parameters and analyze their RDW levels. Potential risk factors for long-term all-cause mortality in patients with HBV-related HCC were predicted using Multivariate Cox regression. A nomogram was generated, and its performance was evaluated. The RDW of patients with HBV-related HCC was significantly higher than that of those with CHB and healthy controls. In the former, splenomegaly, liver cirrhosis, larger tumor diameter, multiple tumor number, portal vein tumor thrombus, and lymphatic or distant metastasis were significantly increased, and the later the Child-Pugh grade and Barcelona clinic liver cancer stage, the higher the RDW. Furthermore, multivariate Cox regression analysis identified RDW as an independent risk factor for predicting long-term all-cause mortality in patients with HBV-related HCC. Finally, we successfully generated a nomogram incorporating RDW and validated its predictive ability. RDW is a potentially valuable hematological marker for predicting the survival and prognosis of patients with HBV-related HCC. The nomogram incorporating RDW can be used as an effective tool to plan the individualized treatment of such patients.

摘要

红细胞分布宽度(RDW)是一种广泛应用于预测各种癌症的临床参数。本研究旨在评估 RDW 在乙型肝炎病毒(HBV)相关肝细胞癌(HCC)患者中的预后价值。

我们对 745 例 HBV 相关 HCC 患者、253 例慢性乙型肝炎(CHB)患者和 256 名健康个体进行了回顾性研究,比较了他们的血液学参数并分析了他们的 RDW 水平。使用多变量 Cox 回归预测 HBV 相关 HCC 患者长期全因死亡率的潜在危险因素。生成了一个列线图,并对其性能进行了评估。

HBV 相关 HCC 患者的 RDW 明显高于 CHB 患者和健康对照组。在前者中,脾肿大、肝硬化、肿瘤直径较大、肿瘤数目较多、门静脉癌栓、淋巴或远处转移明显增加,而后者的 Child-Pugh 分级和巴塞罗那临床肝癌分期越高,RDW 越高。此外,多变量 Cox 回归分析确定 RDW 是预测 HBV 相关 HCC 患者长期全因死亡率的独立危险因素。最后,我们成功生成了一个包含 RDW 的列线图,并验证了其预测能力。

RDW 是预测 HBV 相关 HCC 患者生存和预后的一种有价值的血液学标志物。包含 RDW 的列线图可以作为计划此类患者个体化治疗的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/de3c9c7d9e25/ijmsv20p0976g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/d26a6bf8791c/ijmsv20p0976g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/27fa9919eced/ijmsv20p0976g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/3cde1bd760a9/ijmsv20p0976g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/961f0454ac91/ijmsv20p0976g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/de3c9c7d9e25/ijmsv20p0976g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/d26a6bf8791c/ijmsv20p0976g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/27fa9919eced/ijmsv20p0976g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/3cde1bd760a9/ijmsv20p0976g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/961f0454ac91/ijmsv20p0976g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e989/10266047/de3c9c7d9e25/ijmsv20p0976g005.jpg

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