Kidney Institute and Division of Nephrology, Department of Internal Medicine, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan; Big Data Center, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan.
Big Data Center, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Clin Chim Acta. 2019 Oct;497:163-171. doi: 10.1016/j.cca.2019.07.035. Epub 2019 Jul 30.
Prognostic role of red blood cell distribution width (RDW) in patients with chronic kidney disease (CKD) is unclear. Little evidence provides a comprehensive predictive analysis considering both baseline values and longitudinal trajectories of RDW along with mean corpuscular volume (MCV).
We conducted a comprehensive risk assessment of RDW and MCV in a registry-based cohort of 4621 patients with CKD (age, 20-90 y) receiving multidisciplinary care during 2003 to 2015. Both baseline and longitudinal trajectories of RDW and MCV were modeled as predictors for end-stage renal disease (ESRD) and mortality by using multiple Cox proportional hazards regression models, incorporating time-varying covariates and adjustments for imperative confounding variables.
Fully adjusted hazard ratio (HR; 95% CI) of progression to ESRD for each unit increase in RDW and MCV at baseline was 0.97 (0.93-1.02) and 1.00 (0.99-1.01), respectively. Longitudinally, neither RDW nor MCV trajectory was associated with progression to ESRD. For all-cause mortality, fully adjusted HRs (95%CI) were 1.09 (1.04-1.14) for each percent increase in RDW with a linear dose-response relationship and 1.95 (1.47-2.59) for a stable-high RDW trajectory compared with normal RDW trajectory. The effects of RDW on mortality were further augmented in patients with concomitantly high MCV status. Incorporating point-of-care RDW significantly improves the discrimination performance quantified using Harrell C statistics into the existing CKD mortality predictive equation (from 0.770 to 0.784, P = .018).
We support the clinical utility of RDW in predicting all-cause mortality among patients with CKD. The mechanism underlying our findings is critical for CKD risk assessment and management, particularly from malnutrition, inflammation, and atherosclerosis perspectives.
红细胞分布宽度(RDW)在慢性肾脏病(CKD)患者中的预后作用尚不清楚。很少有证据提供全面的预测分析,同时考虑 RDW 的基线值和纵向轨迹以及平均红细胞体积(MCV)。
我们对 2003 年至 2015 年期间接受多学科治疗的 4621 名 CKD 患者(年龄 20-90 岁)的基于登记的队列进行了 RDW 和 MCV 的综合风险评估。使用多个 Cox 比例风险回归模型,将 RDW 和 MCV 的基线和纵向轨迹建模为终末期肾脏疾病(ESRD)和死亡率的预测因子,纳入时变协变量,并对强制性混杂变量进行调整。
基线时 RDW 和 MCV 每增加一个单位,进展为 ESRD 的完全调整后的危险比(HR;95%CI)分别为 0.97(0.93-1.02)和 1.00(0.99-1.01)。纵向来看,RDW 和 MCV 轨迹均与 ESRD 的进展无关。对于全因死亡率,RDW 每增加 1%,完全调整后的 HR(95%CI)为 1.09(1.04-1.14),呈线性剂量反应关系,稳定高 RDW 轨迹与正常 RDW 轨迹相比,HR 为 1.95(1.47-2.59)。在同时伴有高 MCV 状态的患者中,RDW 的影响进一步增强。纳入即时 RDW 显著提高了现有 CKD 死亡率预测方程的 Harrell C 统计量(从 0.770 提高到 0.784,P=0.018)的区分性能。
我们支持 RDW 在预测 CKD 患者全因死亡率方面的临床实用性。我们研究结果的机制对于 CKD 风险评估和管理至关重要,特别是从营养不良、炎症和动脉粥样硬化的角度来看。