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Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression.
Ming Dai1, Qiyao Wei1, Yuxin Zhang1
1The Second Affiliated Hospital of Anhui Medical University, Hefei 230000, China.
Computational and Mathematical Methods in Medicine
|August 2, 2021
Summary
Red blood cell distribution width (RDW) can help predict poststroke depression (PSD). Elevated RDW-standard deviation (RDW-SD) levels in stroke patients indicate a higher likelihood of developing PSD, serving as a valuable predictive marker.
Area of Science:
- Neurology
- Hematology
- Psychiatry
Background:
- Red blood cell distribution width (RDW) is elevated in inflammatory conditions.
- The clinical significance of RDW in poststroke depression (PSD) remains unexplored.
Purpose of the Study:
- To investigate the clinical significance of RDW in patients with PSD.
- To determine if RDW can serve as a predictor for PSD.
Main Methods:
- A retrospective observational study included 185 patients with first-ever acute ischemic stroke (AIS).
- PSD was diagnosed 6 months post-stroke using DSM-IV criteria.
- Red blood cell distribution width-coefficient of variation (RDW-CV) and RDW-standard deviation (RDW-SD) were analyzed.
Main Results:
- PSD patients (46/185) showed increased RDW-CV and RDW-SD compared to non-PSD patients.
- RDW-SD positively correlated with depression severity (HAM-D scores) and serum IL-6 levels.
- RDW-CV, RDW-SD, and IL-6 were independent predictors of PSD; RDW-SD demonstrated superior predictive value (AUC=0.796).
Conclusions:
- RDW-SD is a simple, inexpensive, and accessible parameter for predicting PSD in stroke patients.
- RDW-SD can aid in early identification and management of poststroke depression.
