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DOI 10.1016/j.cardfail.2020.05.011

Медицинская библиотека · Journal of cardiac failure · 2020

Predictors of Renal Failure in Patients Treated With the Total Artificial Heart.

Desai Kevin V, Tang Daniel G, Quader Mohammed, Kasirajan Vigneshwar, Thacker Leroy, Sawey Edward J, Tchoukina Inna, Shah Keyur B

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Аннотация

BACKGROUND

The incidence of hemodialysis (HD)-dependent renal failure after total artificial heart (TAH) implantation is high. We sought to determine the preoperative predictors of HD after TAH implantation.

METHODS AND

RESULTS

We studied 87 patients after TAH implantation at our institution between April 2006 and March 2017. Baseline clinical data were obtained from the medical records, and patients were followed until death or heart transplantation. We performed logistic regression analysis to identify predictors of HD after TAH implantation. Of the patients, 24 (28%) required postimplantation HD. Those requiring HD were more likely to have histories of coronary artery disease (58% vs 29%; P = 0.01), required preoperative membrane oxygenation (33% vs 4.8%; P = 0.001) and had lower baseline estimated glomerular filtration rates (54 ± 29 vs 67 ± 24 mL/min/1.73m2; P = 0.04). Patients requiring HD were at a higher risk of death on device at 1 year (33% vs 5%, P = 0.001; log rank test: P =0.001, hazard ratio 6.6 [95% CI:1.8-23], P = 0.003).

CONCLUSIONS

The incidence of postimplantation HD is high and is associated with increased likelihood of mortality. Lower baseline estimated glomerular filtration rates, histories of coronary artery disease and preoperative membrane oxygenation support are predictors of postimplantation requirement of HD. These data may help to identify patients at risk for adverse outcomes after TAH implantation.

Для цитирования: Desai Kevin V, Tang Daniel G, Quader Mohammed, Kasirajan Vigneshwar, Thacker Leroy, Sawey Edward J, Tchoukina Inna, Shah Keyur B. Predictors of Renal Failure in Patients Treated With the Total Artificial Heart.. Journal of cardiac failure. 2020. DOI: 10.1016/j.cardfail.2020.05.011.

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