Red blood cell distribution width is an indicator of physiological dysregulation and reveals the relationship between biomarkers and health status in hemodialysis patients
· 2026-09-08 · 原文
DOI:10.64898/2026.09.04.26362306v1?rss=1
Introduction: Red blood cell distribution width (RDW) and intra-individual variability (IIV) of biomarkers are different types of variation. Although their high levels are commonly associated with high mortality risks and poor clinical outcomes, the reason for this remains unclear. Methods: We explored the significance of this similarity using time-series data (from 143,475 samples) collected over a 9-year period from 1,216 patients on long-term hemodialysis. The IIV of each of the 22 blood-based biomarkers was assessed using the moving coefficient of variation (mCV). Non-linear longitudinal/temporal changes of the variables and their mutual relationships were analyzed using generalized additive (mixed) models. Results: RDW and all of the IIVs showed similar trends throughout the entire pe
讲义
讲义·推断 依据「原文」自动生成的结构化摘要(推断),非原文表述;以原文为准。
1. 人话版
Introduction: Red blood cell distribution width (RDW) and intra-individual variability (IIV) of biomarkers are different types of variation.
Although their high levels are commonly associated with high mortality risks and poor clinical outcomes, the reason for this remains unclear.
2. 领域脉络
来源板块:板块一 · 研究前沿。
3. 机制拆解
Non-linear longitudinal/temporal changes of the variables and their mutual relationships were analyzed using generalized additive (mixed) models.
4. 证据与数字
Methods: We explored the significance of this similarity using time-series data (from 143,475 samples) collected over a 9-year period from 1,216 patients on long-term hemodialysis.
The IIV of each of the 22 blood-based biomarkers was assessed using the moving coefficient of variation (mCV).
5. 反例与边界
摘要未声明局限与反例——这是需要警惕的信号,精读时先问边界。
6. 跨领域连接与意外收获
思考本文机制能否迁移到你正在跟进的问题。
7. 可复用方法
把本文机制与你手头项目对照,找一个两周内能验证的最小实验。
8. 术语表
精读时把不熟的术语记入此处,作为下次回忆的锚点。