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. 2023 Oct 22;6(1):100742. doi: 10.1016/j.xkme.2023.100742

Table 1.

Changes in Percent of Cases Transplanted, by Race/Ethnicity

Pre-ITF Average Annual Number of Transplants Pre-ITF Average Annual Kidney Failure Prevalent Cases Pre-ITF Percent of Cases Transplanted Post-ITF Average Annual Number of Transplants Post-ITF Average Annual Kidney Failure Prevalent Cases Post-ITF Percent of Cases Transplanted Change in Pre- to Post-ITF % Change in Pre- to Post-ITF
USA
 Non-Hispanic White 8,290 280,442 2.96 9,358 334,892 2.79 -0.16 -5.47
 Non-Hispanic Black 4,139 195,102 2.12 5,568 227,475 2.45 0.33 15.38
 Hispanic/Latino 2,458 104,761 2.35 3,761 140,764 2.67 0.33 13.87
Illinois
 Non-Hispanic White 280 12,568 2.22 278 14,637 1.90 -0.33 -14.63
 Non-Hispanic Black 203 9,678 2.10 248 10,950 2.27 0.17 8.06
 Hispanic/Latino 127 4,033 3.16 185 5,608 3.29 0.13 4.20
Arizona
 Non-Hispanic White 199 5,804 3.43 276 7,362 3.74 0.31 9.08
 Non-Hispanic Black 31 1,081 2.87 64 1,371 4.65 1.79 62.26
 Hispanic/Latino 113 3,905 2.89 194 4,991 3.90 1.01 34.86
California
 Non-Hispanic White 602 23,957 2.51 581 29,014 2.00 -0.51 -20.23
 Non-Hispanic Black 231 11,308 2.04 260 12,601 2.06 0.02 0.84
 Hispanic/Latino 702 32,279 2.17 1,027 43,406 2.37 0.19 8.75
Colorado
 Non-Hispanic White 168 3,781 4.44 178 4,643 3.83 -0.61 -13.70
 Non-Hispanic Black 27 752 3.56 33 877 3.74 0.17 4.89
 Hispanic/Latino 56 1,678 3.36 90 2,087 4.32 0.96 28.61
Florida
 Non-Hispanic White 457 16,941 2.70 517 20,654 2.51 -0.19 -7.14
 Non-Hispanic Black 282 13,351 2.12 436 16,319 2.67 0.56 26.37
 Hispanic/Latino 155 6,721 2.31 319 9,279 3.44 1.13 48.78
New York
 Non-Hispanic White 512 16,195 3.16 646 18,638 3.47 0.30 9.64
 Non-Hispanic Black 305 12,851 2.37 430 14,977 2.87 0.50 21.03
 Hispanic/Latino 207 6,684 3.09 268 8,918 3.00 -0.09 -2.95
Texas
 Non-Hispanic White 420 15,011 2.80 553 20,792 2.66 -0.14 -5.00
 Non-Hispanic Black 266 14,787 1.80 434 17,616 2.46 0.66 36.99
 Hispanic/Latino 493 23,391 2.11 753 30,122 2.50 0.39 18.51
Note:
  • 1)
    “Pre-ITF Average” for the annual number of adult transplants is an unweighted average of annual number of adult transplants for 5 years from 2010 to 2014. “Post-ITF Average” for the annual number of adult transplants is an unweighted average of annual number of adult transplants for 5 years from 2016 to 2020. Source for annual number of transplants: Organ Procurement & Transplantation Network (OPTN).
  • 2)
    “Pre-ITF Average” for the annual kidney failure prevalent adult cases is an unweighted average of annual kidney failure prevalent adult cases for 5 years from 2010 to 2014. “Post-ITF Average” for the annual kidney failure prevalent adult cases is an unweighted average of annual kidney failure prevalent adult cases for 5 years from 2016 to 2020. Source for annual kidney failure prevalent cases: United States Renal Data System (USRDS).
  • 3)
    “Pre-ITF Percent of Cases Transplanted” is computed by dividing the “Pre-ITF Average Annual Number of Transplants” by the “Pre-ITF Average Annual Kidney Failure Prevalent Cases” and then multiplying the result by 100. “Post-ITF Percent of Cases Transplanted” is computed by dividing the “Post-ITF Average Annual Number of Transplants” by the “Post-ITF Average Annual Kidney Failure Prevalent Cases” and then multiplying the result by 100.
  • 4)
    “Change in Pre- to Post-ITF” is computed by subtracting the “Pre-ITF Percent of Cases Transplanted” from the “Post-ITF Percent of Cases Transplanted” for each row of the table. For example, in IL, change experienced from the pre- to post-ITF periods in the “percent of Hispanic adult cases transplanted” is a change of 0.13 percentage points (ie, 3.29 – 3.16 = 0.13).
  • 5)
    “% Change in Pre- to Post-ITF” is computed by dividing the “Change in Pre- to Post-ITF” by the “Pre-ITF Percent of Cases Transplanted” and then multiplying the result by 100. For example, in IL, the % change experienced from the pre- to post-ITF periods for Hispanic adults is computed to be 4.20% (ie, [0.13 / 3.16] ∗ 100 = 4.20).
  • 6)
    Computing the entries reported in the last 2 columns using the entries shown in the prior columns may yield slightly different numbers than those reported in the last 2 columns due to rounding.