Heart Transplantation An In-Depth Survival Analysis

被引:69
作者
Hsich, Eileen M. [1 ,2 ]
Blackstone, Eugene H. [1 ,2 ,3 ]
Thuita, Lucy W. [3 ]
McNamara, Dennis M. [4 ]
Rogers, Joseph G. [5 ]
Yancy, Clyde W. [6 ]
Goldberg, Lee R. [7 ]
Valapour, Maryam [8 ]
Xu, Gang [9 ]
Ishwaran, Hemant [9 ,10 ]
机构
[1] Cleveland Clin, Heart & Vasc Inst, Cleveland, OH 44106 USA
[2] Case Western Reserve Univ, Sch Med, Lerner Coll Med, Cleveland Clin, Cleveland, OH USA
[3] Cleveland Clin, Dept Quantitat Hlth Sci, Cleveland, OH 44106 USA
[4] Univ Pittsburgh, Med Ctr, Pittsburgh, PA USA
[5] Duke Univ, Div Cardiol, Durham, NC USA
[6] Northwestern Univ, Med Ctr, Div Cardiol, Chicago, IL 60611 USA
[7] Hosp Univ Penn, Div Cardiol, 3400 Spruce St, Philadelphia, PA 19104 USA
[8] Cleveland Clin, Dept Pulm Med, Cleveland, OH 44106 USA
[9] Univ Miami, Div Biostat, Miami, FL USA
[10] Univ Miami, Dept Publ Hlth Sci, Miami, FL USA
基金
美国国家卫生研究院;
关键词
heart transplantation; mechanical circulatory support; mortality; outcome assessment; sex; HOSPITAL MORTALITY; RISK INDEX; FAILURE; PREDICTION; RECIPIENT; DONOR; SEX;
D O I
10.1016/j.jchf.2020.03.014
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVES This study aims to understand the complex factors affecting heart transplant survival and to determine the importance of possible sex-specific risk factors. BACKGROUND Heart transplant allocation is primarily focused on preventing waitlist mortality. To prevent organ wastage, future allocation must balance risk of waitlist mortality with post-transplantation mortality. However, more information regarding risk factors after heart transplantation is needed. METHODS We included all adults (30,606) in the Scientific Registry of Transplant Recipients database who underwent isolated heart transplantation from January 1, 2004, to July 1, 2018. Mortality (8,278 deaths) was verified with the complete Social Security Death Index with a median follow-up of 3.9 years. Temporal decomposition was used to identify phases of survival and phase-specific risk factors. The random survival forests method was used to determine importance of mortality risk factors and their interactions. RESULTS We identified 3 phases of mortality risk: early post-transplantation, constant, and late. Sex was not a significant risk factor. There were several interactions predicting early mortality such as pretransplantation mechanical ventilation with presence of end-organ function (bilirubin, renal function) and interactions predicting later mortality such as diabetes and older age (donor and recipient). More complex interactions predicting early-, mid-, and late-mortality existed and were identified with machine learning (i.e., elevated bilirubin, mechanical ventilation, and dialysis). CONCLUSIONS Post-heart transplant mortality risk is complex and dynamic, changing with time and events. Sex is not an important mortality risk factor. To prevent organ wastage, end-organ dysfunction should be resolved before transplantation as much as possible. (J Am Coll Cardiol HF 2020;8:557-68) (c) 2020 by the American College of Cardiology Foundation.
引用
收藏
页码:557 / 568
页数:12
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