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The Long-Term Survival of LVAD Patients-A TriNetX Database Analysis.
Nair, Nandini; Mahesh, Balakrishnan; Du, Dongping.
Afiliación
  • Nair N; Department of Medicine, Division of Cardiology, Penn State Health/PSUCOM, 500 University Drive, Hershey, PA 17033, USA.
  • Mahesh B; Department of Surgery, Division of Cardiothoracic Surgery, Penn State Health/PSUCOM, 500 University Drive, Hershey, PA 17033, USA.
  • Du D; Department of Industrial, Manufacturing and Systems Engineering, Texas Tech University (TTU), Lubbock, TX 79409, USA.
J Clin Med ; 13(14)2024 Jul 13.
Article en En | MEDLINE | ID: mdl-39064136
ABSTRACT

Background:

Donor shortage limits the utilization of heart transplantation, making it available for only a fraction of the patients on the transplant waiting list. Therefore, continuous-flow left ventricular assist devices (CF-LVADs) have evolved as a standard of care for end-stage heart failure. It is imperative therefore to investigate long-term survival in this population.

Methods:

This study assesses the impact of demographics, infections, comorbidities, types of cardiomyopathies, arrhythmias, and end-organ dysfunction on the long-term survival of LVAD recipients. The TriNetX database comprises de-identified patient information across healthcare organizations. The log-rank test assessed post-implant survival effects, while Cox regression was used in the univariate analysis to obtain the Hazard Ratio (HR). All analyses were conducted using the Python programming language and the lifelines library.

Results:

This study identified CMV, hepatitis A exposure, atrial fibrillation, paroxysmal ventricular tachycardia, ischemic cardiomyopathy, renal dysfunction, diabetes, COPD, mitral valve disease, and essential hypertension as risk factors that impact long-term survival. Interestingly, hypokalemia seems to have a protective effect and gender does not affect survival significantly.

Conclusions:

This is the first report of a detailed long-term survival assessment of the LVAD population using a decoded database.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza