Observational studyComputational and mathematical methods in medicine2021
Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression.
Observational study in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Association Between Peripheral IL-6 Levels in the Acute Stage of Stroke and Poststroke Depression: A Systematic Review and Meta-Analysis.Brain and behavior · 2026Pooled it
- Correlation of red cell distribution width with depression among adults with and without self-reported history of cancer.Scientific reports · 2025Article
- Red blood cell distribution width to albumin ratio is associated with increased depression: the mediating role of atherogenic index of plasma.Frontiers in psychiatry · 2025Article
- Association between the hemoglobin-to-red cell distribution width ratio and three-month unfavorable outcome in older acute ischemic stroke patients: a prospective study.Frontiers in neurology · 2025Article
- Elevated red blood cell distribution width levels predict depression after intracerebral hemorrhage: A 3-month follow-up study.Frontiers in neurology · 2023Article
- Research on the MEG of Depression Patients Based on Multivariate Transfer Entropy.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeRed blood cell distribution width (RDW) is increased in a variety of inflammatory-related diseases. However, there is no report of its clinical significance in poststroke depression (PSD). This study explores the clinical significance of RDW in PSD patients.
methodsA total of 185 patients with first-ever acute ischaemic stroke (AIS) in the Second Hospital of Anhui Medical University were chosen as subjects. A retrospective observational study was conducted from February 2019 to February 2020. PSD patients were diagnosed at 6 months after stroke based on the Diagnostic and Statistical Manual of Mental Disorders-IV criteria. Clinical and laboratory data were obtained from all patients. Coefficient of Variation (RDW-CV) and standard deviation (RDW-SD) were used to statistically report the performance of red blood cell distribution width.
resultsAt the 6-month follow-up, 46 patients were diagnosed with PSD. Compared with non-PSD patients, PSD patients exhibited an increase in RDW-CV and RDW-SD, which positively correlated with serum interleukin 6 (IL-6) concentrations. In PSD patients, only RDW-SD demonstrated a consistent positive association with the Hamilton Rating Scale for Depression (HAM-D) scores at 6 months after admission. RDW-CV, RDW-SD, and IL-6 were recognized as independent predictors of PSD. The area under the receiver operating characteristic (ROC) curve (AUC) of RDW-SD was 0.796 (95% CI: 0.731-0.852) for the prediction of PSD, which was superior to that of RDW-CV. The specificity for predicting PSD was 60.43%, and the sensitivity was 91.30% if RDW-SD was higher than 43.80 fL.
conclusionsRDW-SD is a simple, inexpensive, rapid, and easily accessible parameter that can be used to predict PSD in patients with stroke.
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