The Long-Term Survival of LVAD Patients-A TriNetX Database Analysis

被引:1
作者
Nair, Nandini [1 ]
Mahesh, Balakrishnan [2 ]
Du, Dongping [3 ]
机构
[1] Penn State Hlth, Dept Med, Div Cardiol, PSUCOM, 500 Univ Dr, Hershey, PA 17033 USA
[2] Penn State Hlth, Dept Surg, Div Cardiothorac Surg, PSUCOM, 500 Univ Dr, Hershey, PA 17033 USA
[3] Texas Tech Univ TTU, Dept Ind Mfg & Syst Engn, Lubbock, TX 79409 USA
关键词
risk factors; LVAD long-term survival; TriNetX; VENTRICULAR ASSIST DEVICE; DRUG ADMINISTRATION-APPROVAL; INTERAGENCY REGISTRY; ATRIAL-FIBRILLATION; DILATED CARDIOMYOPATHY; HEART-FAILURE; IMPACT; RISK; OUTCOMES; IMPLANTATION;
D O I
10.3390/jcm13144096
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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页数:13
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