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American Heart Association

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Final ID: Su4092

Pre-procedural Red Cell Distribution Width As A Prognostic Biomarker In Patients Undergoing Transcatheter Aortic Valve Implantation: A Systematic Review and Meta Analysis

Abstract Body (Do not enter title and authors here): Background
Red cell distribution width (RDW) is a measurement of variability in erythrocyte size and volume, routinely reported as part of a complete blood count. Recently, it has gained popularity as a novel prognostic biomarker for cardiovascular disease outcomes. Our study investigates the predictive value of pre-procedural RDW for all-cause mortality (ACM) within one year for patients undergoing transcatheter aortic valve implantation (TAVI).

Methods
We comprehensively reviewed databases like PubMed, Google Scholar, Embase, and Scopus until May 2024, looking for studies reporting an association between pre-procedural RDW and outcomes in TAVI. A binary random effects model was used to calculate the pooled adjusted odds ratio (aOR), and subgroup analysis was performed. I2 statistics were used to determine the heterogeneity of studies, further enhancing the robustness of our research.

Results
Our systematic review and meta-analysis included five studies (three retrospective, two prospective) encompassing 2,565 patients with a mean age of 81.32 years. Our study showed a slight female predominance (52%). The mean follow-up period was one year. Comorbidities like coronary artery disease, diabetes melitus, atrial fibrillation, prior myocardial infarction were commonly reported among the study population. Higher pre-procedural RDW was associated with increased odds of ACM at the end of one year with an unadjusted pooled OR 1.86 (95% CI: 1.30-2.67, p<0.01) and adjusted pooled aOR 2.21 (95% CI: 1.81-2.69, p< 0.01) (Figure 1). Leave one out sensitivity analysis confirmed the robustness of the meta-analysis, as no single study disproportionately affected the overall results.

Conclusion
Our study demonstrates the potential of pre-procedural RDW as a prognostic biomarker for predicting 1-year ACM in post-TAVI patients. However, further research is warranted to fully elucidate the role and mechanism of RDW in this context.
  • Subramanian, Lakshmi  ( East Carolina University Health , Greenville , North Carolina , United States )
  • Srikanth, Sashwath  ( East Carolina University Health , Greenville , North Carolina , United States )
  • Devaprasad, Nikitha  ( SRM Medical College, Hospital and Research Centre , Chennai , Tamil Nadu , India )
  • Liu, Jinye  ( ECU Health Medical Center , Elizabeth City , North Carolina , United States )
  • Shan, Zoofi  ( Sri Guru Ram Das Institute of Medical Sciences and Research , Amritsar , Punjab , India )
  • Podduturi, Pavan Vihar Reddy  ( KIMS, Narketpalli , Narketpalli , India )
  • Jindal, Urmi  ( K.J. Somaiya Medical College and Research Center , Mumbai , Maharashtra , India )
  • Patel, Divyank  ( LSUHS Shreveport , Shreveport , Louisiana , United States )
  • Desai, Rupak  ( Independent Researcher , Atlanta , Georgia , United States )
  • Author Disclosures:
    Lakshmi Subramanian: DO NOT have relevant financial relationships | Sashwath Srikanth: DO NOT have relevant financial relationships | Nikitha Devaprasad: DO NOT have relevant financial relationships | Jinye Liu: DO NOT have relevant financial relationships | Zoofi Shan: No Answer | Pavan Vihar Reddy Podduturi: DO NOT have relevant financial relationships | Urmi Jindal: DO NOT have relevant financial relationships | Divyank Patel: DO NOT have relevant financial relationships | Rupak Desai: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Interventional Insights

Sunday, 11/17/2024 , 11:30AM - 12:30PM

Abstract Poster Session

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