Association of Racial Disparities With Access to Kidney Transplant After the Implementation of the New Kidney Allocation System

被引:70
作者
Kulkarni, Sanjay [1 ]
Ladin, Keren [2 ]
Haakinson, Danielle [1 ]
Greene, Erich [3 ]
Li, Luhang [3 ]
Deng, Yanhong [3 ]
机构
[1] Yale Sch Med, Dept Surg, New Haven, CT 06520 USA
[2] Tufts Univ, Dept Community Med & Publ Hlth, Boston, MA 02111 USA
[3] Yale Sch Publ Hlth, Yale Ctr Analyt Sci, New Haven, CT USA
关键词
COMPETING RISKS; POVERTY; DISEASE; CARE;
D O I
10.1001/jamasurg.2019.0512
中图分类号
R61 [外科手术学];
学科分类号
摘要
IMPORTANCE Inactive patients on the kidney transplant wait-list have a higher mortality. The implications of this status change on transplant outcomes between racial/ethnic groups are unknown. OBJECTIVES To determine if activity status changes differ among races/ethnicities and levels of sensitization, and if these differences are associated with transplant probability after implementation of the Kidney Allocation System. DESIGN, SETTING, AND PARTICIPANTS A multistate model was constructed from the Organ Procurement and Transplantation Network kidney transplant database (December 4, 2014, to September 8, 2016). The time interval followed Kidney Allocation System implementation and provided at least 1-year follow-up for all patients. The model calculated probabilities between active and inactive status and the following competing risk outcomes: living donor transplant, deceased donor transplant, and death/other. This retrospective cohort study included 42558 patients on the Organ Procurement and Transplantation Network kidney transplant wait-list following Kidney Allocation System implementation. To rule out time-varying confounding from relisting, analysis was limited to first-time registrants. Owing to variations in listing practices, primary center listing data were used for dually listed patients. Individuals listed for another organ or pancreatic islets were excluded. Analysis began July 2017. MAIN OUTCOME AND MEASURES Probabilities were determined for transitions between active and inactive status and the following outcome states: active to living donor transplant, active to deceased donor transplant, active to death/other, inactive to living donor transplant, inactive to deceased donor transplant, and inactive to death/other. RESULTS The median (interquartile range) age at listing was 55.0 (18.0-89.0) years, and 26535 of 42558 (62.4%) were men. White individuals were 43.3% (n = 18 417) of wait-listed patients, while black and Hispanic individuals made up 27.8% (n = 11837) and 19.5% (n = 8296), respectively. Patients in the calculated plasma reactive antibody categories of 0% or 1% to 79% showed no statistically significant difference in transplant probability among races/ethnicities. White individuals had an advantage in transplant probability over black individuals in calculated plasma reactive antibody categories of 80% to 89% (hazard ratio [HR], 1.8 [95% CI, 1.4-2.2]) and 90% or higher (HR, 2.4 [95% CI, 2.1-2.6]), while Hispanic individuals had an advantage over black individuals in the calculated plasma reactive antibody group of 90% or higher (HR, 2.5 [95% CI, 2.1-2.8]). Once on the inactive list, white individuals were more likely than Hispanic individuals (HR, 1.2 [95% CI, 1.17-1.3]) or black individuals (HR, 1.4 [95% CI, 1.3-1.4]) to resolve issues for inactivity resulting in activation. CONCLUSIONS AND RELEVANCE For patients who are highly sensitized, there continues to be less access to kidney transplant in the black population after the implementation of the Kidney Allocation System. Health disparities continue after listing where individuals from minority groups have greater difficulty in resolving issues of inactivity.
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收藏
页码:618 / 625
页数:8
相关论文
共 27 条
[1]  
Andersen P. K., 1993, STAT MODELS BASED CO, DOI DOI 10.1007/978-1-4612-4348-9
[2]  
Andersen PK, 2002, STAT METHODS MED RES, V11, P91, DOI 10.1191/0962280202SM276ra
[3]   The Interplay of Socioeconomic Status, Distance to Center, and Interdonor Service Area Travel on Kidney Transplant Access and Outcomes [J].
Axelrod, David A. ;
Dzebisashvili, Nino ;
Schnitzler, Mark A. ;
Salvalaggio, Paolo R. ;
Segev, Dorry L. ;
Gentry, Sommer E. ;
Tuttle-Newhall, Janet ;
Lentine, Krista L. .
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2010, 5 (12) :2276-2288
[4]  
Beyersmann J, 2011, COMPETING RISKS MULT
[5]   Competing Risks and Time-Dependent Covariates [J].
Cortese, Giuliana ;
Andersen, Per K. .
BIOMETRICAL JOURNAL, 2010, 52 (01) :138-158
[6]  
Daniels Norman, 2001, American Journal of Bioethics, V1, P2, DOI 10.1162/152651601300168834
[7]   The Kidney Allocation System [J].
Friedewald, John J. ;
Samana, Ciara J. ;
Kasiske, Bertram L. ;
Israni, Ajay K. ;
Stewart, Darren ;
Cherikh, Wida ;
Formica, Richard N. .
SURGICAL CLINICS OF NORTH AMERICA, 2013, 93 (06) :1395-+
[8]  
GRAMBSCH PM, 1994, BIOMETRIKA, V81, P515
[9]   Trends in the Inactive Kidney Transplant Waitlist and Implications for Candidate Survival [J].
Grams, M. E. ;
Massie, A. B. ;
Schold, J. D. ;
Chen, B. P. ;
Segev, D. L. .
AMERICAN JOURNAL OF TRANSPLANTATION, 2013, 13 (04) :1012-1018
[10]   Beyond "Median Waiting Time": Development and Validation of a Competing Risk Model to Predict Outcomes on the Kidney Transplant Waiting List [J].
Hart, Allyson ;
Salkowski, Nicholas ;
Snyder, Jon J. ;
Israni, Ajay K. ;
Kasiske, Bertram L. .
TRANSPLANTATION, 2016, 100 (07) :1564-1570