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Updated: Sep 18, 2025

Utilizing Percutaneous Ventricular Assist Devices in Acute Myocardial Infarction Complicated by Cardiogenic Shock
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Blood Draws, Fluid Input, and Bleeding Events After Percutaneous Coronary Intervention.

Meghana Iyer1, Ankur Kalra2, Khaled Ziada3

  • 1Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, Ohio, USA.

Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions
|June 25, 2025
PubMed
Summary

Intensity of patient care, including fluid intake and lab draws after percutaneous coronary intervention (PCI), significantly impacts bleeding events. These factors improve prediction models for post-PCI bleeding, suggesting a need for risk adjustment in national reporting.

Keywords:
NCDR CathPCIPCIbleedingoutcomesrisk model

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Area of Science:

  • Cardiology
  • Clinical Quality Metrics

Background:

  • The American College of Cardiology (ACC) National Cardiovascular Data Registry (NCDR) CathPCI Registry uses bleeding events within 72 hours of percutaneous coronary intervention (PCI) as a quality metric.
  • It is unknown if markers of patient care intensity, such as fluid input and laboratory phlebotomy, influence these reported post-PCI bleeding events.

Purpose of the Study:

  • To investigate the relationship between fluid volume input, number of laboratory draws, and post-PCI bleeding events.
  • To assess if these care intensity markers improve the predictive ability of bleeding risk models.

Main Methods:

  • A patient-level observational study of 13,553 PCI procedures was conducted.
  • Multivariable logistic regression analyzed associations between bleeding events, fluid input, and lab draws up to 72 hours post-PCI.
  • The improvement in discriminatory ability of a bleeding risk model was assessed by adding these variables.

Main Results:

  • A total of 767 (5.7%) bleeding events were recorded.
  • Increased fluid input and a higher number of lab draws were independently associated with increased odds of bleeding.
  • A multivariable model incorporating fluid input and lab draws significantly improved predictive ability (C-statistic 0.927) compared to baseline characteristics alone (C-statistic 0.858).

Conclusions:

  • Factors reflecting patient care intensity, specifically fluid administration and frequency of lab draws, significantly enhance the prediction of NCDR post-PCI bleeding events.
  • Risk adjustment for lab draws and fluid intake should be considered when nationally reporting bleeding event rates.