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Red cell distribution width as a bleeding predictor after percutaneous coronary intervention.

Omid Fatemi¹, Rebecca Torguson, Fang Chen

¹MedStar Washington Hospital Center, Washington, DC 20010, USA.

American Heart Journal

|July 3, 2013

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Red cell distribution width (RDW) predicts major bleeding after percutaneous coronary intervention (PCI). Higher RDW levels indicate increased bleeding risk, improving existing risk models for better patient outcomes.

Area of Science:

Cardiology
Hematology
Clinical Risk Prediction

Background:

Red cell distribution width (RDW) is a known predictor of mortality in cardiovascular disease.
Its role in predicting major bleeding post-percutaneous coronary intervention (PCI) requires further investigation.

Purpose of the Study:

To determine if RDW is a prognostic marker for major bleeding following PCI.
To assess the incremental predictive value of RDW in established risk models.

Main Methods:

A cohort of 6,689 patients undergoing PCI was analyzed.
RDW was measured from pre-PCI complete blood counts.
Major in-hospital bleeding was defined by specific hematocrit/hemoglobin drops, transfusion requirements, or critical bleeding events.
Multivariable logistic regression, including the NCDR risk score, was used to analyze bleeding predictors.

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Main Results:

Higher baseline RDW was significantly associated with increased major bleeding, vascular complications, and transfusion rates.
After adjusting for covariates, RDW remained an independent predictor of major bleeding (OR 1.12, P < .001).
Adding RDW to the NCDR risk model significantly improved risk reclassification for major bleeding (NRI 17.3%, P = .002).

Conclusions:

RDW is an independent predictor of major bleeding post-PCI.
RDW incrementally enhances the predictive accuracy of the NCDR risk model.
Further research is warranted to explore the RDW-bleeding relationship post-PCI.