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December 1, 2013BMC Cardiovascular DisordersOpen Access

After adjusting for covariates, RDW remained significantly associated with mortality (HR 1.23, 95% CI 1.13-1.35, p < 0.0001 per 1% increase), with a 4-fold increase in mortality between the lowest and highest RDW quartiles (4.3% vs. 17.1%, p < 0.0001).

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Why the study?

Does higher red cell distribution width (RDW) predict increased long-term mortality in patients with stable coronary artery disease undergoing percutaneous coronary intervention?

Population

2,550 consecutive patients with stable coronary artery disease undergoing percutaneous coronary intervention…

Comparison

Higher Red Cell Distribution Width values vs Lower Red Cell Distribution Width values

Design

Cohort

Follow-up

mean 915.4 ± 525.3 days

Authors

TOTadeusz OsadnikJSJoanna Katarzyna StrzelczykMHMichał Hawranek

Discussion

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Overview

May refine post-PCI risk stratification in stable CAD; extends observational associations but leaves clinical utility open.

Structured PICO

Does higher red cell distribution width (RDW) predict increased long-term mortality in patients with stable coronary artery disease undergoing percutaneous coronary intervention?

P
Population
2,550 consecutive patients with stable coronary artery disease undergoing percutaneous coronary intervention (stent implantation) at a single center in Poland. Excluded: patients who died during hospitalization, on dialysis, with advanced valve disease, history of cancer, or other diseases potentially limiting survival.
I
Intervention
Higher Red Cell Distribution Width (RDW) values (assessed as a continuous variable and by quartiles, with the highest quartile being ≥14.1%)
C
Comparator
Lower Red Cell Distribution Width (RDW) values (with the lowest quartile being <13.1%)
O
Outcome
All-cause mortality during an average of 2.5 years of follow-uphard clinical

Higher red cell distribution width (RDW) is an independent predictor of long-term mortality in patients with stable coronary artery disease undergoing PCI, reflecting a higher comorbidity burden.

Limitations

  • Retrospective design
  • Lack of iron status data
  • Lack of other biomarkers such as high sensitivity troponins

Cite This Study

Osadnik et al. (2013) studied this question.

synapsesocial.com/papers/6a812e91adfa6baaaee1ba7chttps://doi.org/10.1186/1471-2261-13-113
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Red Cell Distribution Width and Mortality in Patients Undergoing Percutaneous Coronary Intervention2021 · 12 citations
  2. 2Red cell distribution width (RDW) as a predictor of long-term mortality in patients undergoing percutaneous coronary intervention2009 · 96 citations
  3. 3A-45 | Red blood cell distribution width as a long-term prognostic marker in patients with coronary artery disease undergoing percutaneous coronary intervention: An updated meta-analysis2024
  4. 4Elevated Red Blood Cell Distribution Width Predicts Mortality and Major Adverse Cardiovascular Events After Acute Myocardial Infarction: A Large Propensity Score-Matched Cohort Study2026 · 1 citations
  5. 5Association between red blood cell distribution width and long-term mortality among patients undergoing percutaneous coronary intervention with previous history of cancer2020 · 5 citations