Li Yanyan, Li Zhanzhan, Zhang Guangying
Department of Nursing, Xiangya Hospital, Central South University, Changsha, Hunan Province, 410008, People's Republic of China.
Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province, 410008, People's Republic of China.
Int J Gen Med. 2022 Mar 6;15:2597-2606. doi: 10.2147/IJGM.S354569. eCollection 2022.
The width of red blood cell distribution (RDW) is correlated with some diseases, but its clinical value and prognostic role in cervical cancer is unclear.
We used receiver operating characteristic curves to evaluate the diagnostic ability of RDW and other clinical parameters in cervical cancer based on a case-control design. Using retrospective data, we explored the correlation of RDW with overall (OS) and progression-free (PFS) survival using Kaplan-Meier analysis and univariate and multivariate Cox regression with the hazard ratio (HR) and 95% confidence interval (CI). A restricted cubic plot was used to evaluate the nonlinear association between RDW and prognosis risk.
RDW was significantly higher in cases than in controls (14.6±1.7 vs 12.5±1.8, <0.001). It showed high diagnostic accuracy for cervical cancer, with a sensitivity of 79.3%, specificity of 65.6%, and area under the curve of 0.802 (95% CI, 0.775-0.827) with a cutoff value of 13.88. There was a significant positive correlation between RDW and C-reactive protein (r=0.434, =0.023). Multivariate Cox regression indicated that it was independently associated with a poorer PFS (HR, 2.05; 95% CI, 1.25-3.18, <0.001) and OS (HR, 2.73; 95% CI, 1.61-4.64, <0.001). RDW>14.66 showed a nonlinear increased risk for a poor PFS and OS.
RDW is an easy, quick, and inexpensive tool for the early detection and risk management of cervical cancer. A greater RDW is associated with a poor prognosis in cervical cancer.
红细胞分布宽度（RDW）与某些疾病相关，但其在宫颈癌中的临床价值和预后作用尚不清楚。
我们采用病例对照设计，通过受试者工作特征曲线评估RDW及其他临床参数在宫颈癌中的诊断能力。利用回顾性数据，我们采用Kaplan-Meier分析以及单因素和多因素Cox回归分析，结合风险比（HR）和95%置信区间（CI），探讨RDW与总生存期（OS）和无进展生存期（PFS）的相关性。采用限制立方图评估RDW与预后风险之间的非线性关联。
病例组的RDW显著高于对照组（14.6±1.7 vs 12.5±1.8，P<0.001）。它对宫颈癌显示出较高的诊断准确性，灵敏度为79.3%，特异度为65.6%，曲线下面积为0.802（95%CI，0.775-0.827），临界值为13.88。RDW与C反应蛋白之间存在显著正相关（r=0.434，P=0.023）。多因素Cox回归分析表明，它与较差的PFS（HR，2.05；95%CI，1.25-3.18，P<0.001）和OS（HR，2.73；95%CI，1.61-4.64，P<0.001）独立相关。RDW>14.66显示PFS和OS不良风险呈非线性增加。
RDW是一种用于宫颈癌早期检测和风险管理的简便、快速且经济的工具。较高的RDW与宫颈癌预后不良相关。
