慢性阻塞性肺疾病(COPD)是一种常见的慢性呼吸系统疾病,其预后受到多种因素的影响。对于COPD预后的新型生物标志物的鉴定,增强疾病稳定和急性加重患者的临床决策,受到了强烈的关注。虽然已经提出了几种气道和循环炎症生物标志物,但新出现的证据也表明常规血液学参数(例如红细胞分布宽度(RDW))的潜在作用。RDW作为一种简单易得的血液学指标,近年来被发现与COPD患者的预后密切相关。本综述旨在综合分析RDW与COPD患者预后的相关性,探讨其在评估COPD患者病情严重程度、死亡率、急性加重风险以及指导临床治疗等方面的价值。通过对已发表中英文研究的归纳总结,发现RDW在COPD患者中具有重要的预后评估意义,但仍需要进一步的临床研究来明确其具体的作用机制和应用价值。Chronic obstructive pulmonary disease (COPD) is a common chronic respiratory disease, and its prognosis is affected by many factors. The search for novel biomarkers to predict the prognosis of COPD and improve clinical decision-making in both stable and acute exacerbation phases has attracted significant attention. While several biomarkers related to airway and circulatory inflammation have been proposed, emerging evidence also points to the potential value of conventional hematological parameters, such as the red blood cell distribution width (RDW). As a simple and readily accessible hematological index, RDW has been closely associated with the prognosis of COPD patients in recent years. This review aims to comprehensively analyze the correlation between RDW and the prognosis of COPD patients and explore its utility in assessing the severity, mortality, and acute exacerbation risk, and guiding clinical treatment in these patients. A comprehensive summary of published Chinese and English studies indicates that RDW has important prognostic significance in COPD patients. However, further clinical studies are still needed to clarify its spe
目的:本研究旨在探讨RPR水平与多发性骨髓瘤(MM)患者预后的预测价值。方法:我们回顾性分析了161例新诊断的MM患者,收集患者临床资料,根据MM的预后确定RPR的最佳截断值,将MM患者分为高RPR组和低RPR组,比较两组之间临床资料的差异性,分析RPR对MM患者预后的影响。结果:RPR最佳截断值为0.115时预测价值最高,高RPR组和低RPR组总生存期(OS)的中位数均未达到,Kaplan-Meier生存分析显示两者间差异具有统计学意义(P 0.115、肌酐 > 177 umol/L是OS的独立预后因素;RPR > 0.115是PFS的独立预后因素(P Objective: The aim of this study was to investigate the prognosis value of RPR of MM patients. Methods: We retrospectively analysed 161 newly diagnosed MM patients, collected patients’ clinical data. According to the best cut off value of RPR on the prognosis of MM, they were divided into high RPR group and low RPR group. The differences in clinical data between the two groups were compared and the influence of RPR on the prognosis of MM was analyzed. Results: The best RPR cut off value was 0.115 when the predictive value was the highest. The median overall survival (OS) was not reached in both the high and low RPR groups, and Kaplan-Meier survival analysis showed that the difference was statistically significant (P 0.115, and creatinine > 177 umol/L were independent prognostic factors for OS;RPR > 0.115 was an independent prognostic factor for PFS (P < 0.05). Conclusion: RPR is a practical and validated prognostic marker for newly diagnosed MM patients, and high RPR is an independent poor prognostic factor for OS and PFS in MM patients.
