Red blood cell distribution width and maximum left ventricular wall thickness predict poor outcomes in patients with

Jia Li1,2,3, Weidong Gao1, Jinxue Liu1

  • 1Department of Cardiology, The Jiangmen Central Hospital, The Jiangmen Central Hospital of Sun Yat-Set University, Jiangmen, China.

Insights

Increased red blood cell distribution width (RDW) and maximum left ventricular wall thickness (MLVWT) predict major adverse cardiac events (MACE) and mortality in hypertrophic cardiomyopathy (HCM) patients. Combining RDW and MLVWT offers a more accurate prognostic model for HCM outcomes.

Area of Science:

  • Cardiology
  • Clinical Medicine
  • Biomarkers

Background:

  • Hypertrophic cardiomyopathy (HCM) is a complex genetic heart disease.
  • Accurate prognostic markers are crucial for managing HCM patients.
  • Existing prognostic models may not fully capture risk stratification needs.

Purpose of the Study:

  • To assess the prognostic value of red blood cell distribution width (RDW) and maximum left ventricular wall thickness (MLVWT) in patients with HCM.
  • To determine if combined RDW and MLVWT improve risk prediction for major adverse cardiac events (MACE) and mortality in HCM.

Main Methods:

  • Retrospective cohort analysis of 300 HCM patients diagnosed between March 2014 and March 2019.
  • Stratification based on MACE occurrence; use of Receiver Operating Characteristic (ROC) curves and Cox regression models.
  • Kaplan-Meier analysis to evaluate survival and MACE-free rates based on RDW and MLVWT levels.

Main Results:

  • RDW, MLVWT, creatinine, and NT-ProBNP levels differed significantly between MACE and non-MACE groups (P < .05).
  • Multivariate analysis identified RDW (> .13) and MLVWT (> 23 mm) as independent predictors of all-cause mortality and MACE.
  • Combined RDW and MLVWT demonstrated high predictive accuracy (AUC .823 for mortality, .820 for MACE).

Conclusions:

  • Elevated RDW and MLVWT are independently associated with increased MACE incidence and mortality risk in HCM patients.
  • The combination of RDW and MLVWT provides a more robust predictive model for HCM outcomes than individual markers.
  • This study offers a basis for timely intervention in high-risk HCM patients identified by these biomarkers.
Abstract

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