最近，血红蛋白与白蛋白比率（HAR）已被证明与某些恶性肿瘤的生存密切相关。然而，其在鼻咽癌（NPC）中的预后价值仍有待阐明。在此，我们旨在探讨HAR与同步放化疗（CCRT）鼻咽癌患者总生存（OS）之间的相关性。这项回顾性研究纳入了中山大学2010年1月至2014年12月期间接受CCRT的总共858例鼻咽癌患者。森大学癌症中心。我们将它们随机分为训练队列（N = 602）和验证队列（N = 206）。我们进行了单变量和多变量 Cox 回归分析，以确定与 OS 相关的变量，并在此基础上构建和评估了预测列线图。在训练队列和验证队列中，根据截止值将患者分为低 HAR 组和高 HAR 组由最大选择的排名统计确定的值。该 HAR 截止值有效地将患者分为两个具有显着差异的不同预后组。多变量Cox分析显示，较高的T分期、N分期和HAR值与鼻咽癌患者较差的预后显着相关，可作为鼻咽癌的独立预后因素。在此基础上，构建了预测模型并以列线图的形式呈现，其预测性能令人满意，C指数为0.744[95%CI：0.679-0.809]，优于传统的TNM分期系统[C指数 = 0.609] , 95%CI: 0.448-0.770]。HAR 值是接受 CCRT 治疗的鼻咽癌患者的独立预测因子，基于 HAR 的预测模型具有优于传统 TNM 分期系统的预测性能，可能会改善个体化生存预测。© 2024。作者（s）。

Recently, the hemoglobin to albumin ratio (HAR) has been shown to be closely associated with the survival of certain malignancies. However, its prognostic value in nasopharyngeal carcinoma (NPC) remained to be elucidated. Herein, we aimed to explore the correlation between HAR and overall survival (OS) in NPC patients treated with concurrent chemoradiotherapy (CCRT).This retrospective study included a total of 858 patients with NPC receiving CCRT between January 2010 and December 2014 in Sun Yat-sen University Cancer Center. We randomly divided them into the training cohort (N = 602) and the validation cohort (N = 206). We performed univariate and multivariate Cox regression analyses to identify variables associated with OS, based on which, a predictive nomogram was constructed and assessed.In both the training and validation cohorts, patients were classified into low- and high-HAR groups according to the cutoff value determined by the maximally selected rank statistics. This HAR cutoff value effectively divided patients into two distinct prognostic groups with significant differences. Multivariable Cox analysis revealed that higher T-stage, N-stage, and HAR values were significantly related to poorer prognosis in NPC patients and served as independent prognostic factors for NPC. Based on these, a predictive model was constructed and graphically presented as a nomogram, whose predictive performance is satisfactory with a C-index of 0.744 [95%CI: 0.679-0.809] and superior to traditional TNM staging system [C-index = 0.609, 95%CI: 0.448-0.770].The HAR value was an independent predictor for NPC patients treated with CCRT, the predictive model based on HAR with superior predictive performance than traditional TNM staging system might improve individualized survival predictions.© 2024. The Author(s).