Abstract
Background
Improved survival among people with HIV (PWH) has led to increased organ failure, necessitating transplantation. In 2013, the HIV Organ Policy Equity (HOPE) Act was passed, allowing PWH to donate organs to other PWH. No study has assessed organ quality and quantity among a national pool of PWH.
Methods
CFAR Network of Integrated Clinical Systems (CNICS), a multicenter study capturing data on PWH, was used to identify 6,504 deaths from 1999–2018. Exclusions included cause of death, chronic kidney disease, fibrosis-4 score≥3.25, and opportunistic infection at time of death. Donor quality was defined by HIV viremia and the Kidney Donor Profile Index (KDPI). The CDC Wonder database, which contains national death data, permitted estimation of deaths among PWH nationally from 1999–2018. Assuming CNICS was representative of PWH nationally, percentages of potential donors were applied to the CDC Wonder cohort.
Results
Within CNICS, there were 3,241 (65.9%) potential kidney donors and 3,536 (71.9%) potential liver donors from 1999–2018. Based on viremia and KDPI, 821 were lower-risk kidney donors (16.7%) and 1,206 (24.5%) were lower-risk liver donors. Within CDC Wonder, we identified 12,048 potential donors from 1999–2018. Extrapolating from CNICS to the national cohort suggested 396 kidney donors (792 kidneys) and 433 liver donors annually, with 100 kidney donors (200 kidneys) and 147 livers being lower-risk.
Conclusion
A substantial number of PWH meet donation criteria, a valuable source of organs for PWH in need of transplants. Our estimates suggest there may be more available organs from PWH than current transplant numbers indicate.
Keywords: People with HIV (PWH), HOPE Act, Deceased Donors, Kidney Transplant, Liver Transplant, HIV
Graphical Abstract

Introduction
As a result of antiretroviral therapy (ART) introduced in the 1990’s, life expectancy at 20 years of age among people with HIV (PWH) has increased from 19.1 years in 1996 to 53.1 years in 20111. With increased longevity, PWH develop chronic and end-stage diseases of the kidneys and liver resulting in the need for organ transplants2–4. Similar to HIV-negative counterparts, PWH are encumbered by the ongoing organ shortage but are particularly vulnerable as they are less likely to receive kidney or liver transplants than HIV-negative patients5,6. Historically, PWH were forbidden to donate organs in the United States because of restrictions outlined in the National Organ Transplant Act7. However, in 2013 the HIV Organ Policy Equity (HOPE) Act was passed with the goal of mitigating the ongoing organ shortage by legalizing organ donations from PWH to other PWH with various end-stage diseases8.
Multiple studies have demonstrated the safety and efficacy of organ transplants between PWH9–13. South Africa has led the global movement to transplant organs from PWH and has had high success rates. In South Africa, survival rates among recipients living with HIV who received donation transplant from a donor with HIV were comparable to survival rates in the United States among recipients living with HIV who received a donation from a donor with HIV. Within the South African study, five-year survival following kidney transplantation was 83.3%, while 78.7% patients had a functioning kidney transplant14. While the South African HIV epidemic presents a unique situation due to low ART resistance rates, which creates a comparatively favorable environment for transplanting organs from donors with HIV, results have been promising in the United States as well. In a prospective multicenter pilot study, Durand et. al found similar graft survival rates and recipient survival rates among recipients living with HIV who received a kidney from a donor with HIV compared to those who received a kidney from an HIV-negative donor14. However, while excellent outcomes have been achieved with donor organs from PWH14, concerns about donor quality related to an HIV infection remain, motivating further study of this potential donor pool. Among these concerns include the possibility of introducing a new strain of HIV from the donor, which could lead to superinfection and subsequently compromise the recipient’s treatment regimen, especially if this strain is ART resistant17. While superinfection was a concern early in the HOPE Act experience, the HOPE Act does not impose viral load as an eligibility criterion as it would limit the donor pool, particularly given anticipated difficulties in obtaining timely viral loads and/or antiretroviral resistance profiles15,18. Thus, while HIV viremia was mentioned as a risk factor for superinfection, recent research has suggested that superinfection is rare and may not be a clinical concern18. Despite these excellent outcomes, the practice of transplantation of PWH with donor organs from PWH is contingent upon the number and quality of suitable donor organs available.
Previous studies have given varied estimates for the number of potential organs from donors with HIV made available through the HOPE Act. Using national data, Boyarsky et al. concluded that between 494 and 534 deceased donors were available for transplant annually, but did not exclude donors with comorbidities that preclude donation and did not examine viral load16. In contrast, Richterman et al. projected 192 kidneys and 247 livers would be available under the HOPE Act annually. However, this study was limited to deaths in Philadelphia, which may limit the generalizability of their study. Furthermore, several variables used in calculating donor risk indices were unavailable17. The discordance between these studies highlights current gaps in knowledge regarding the pool of potential donors with HIV, including important considerations of organ quality, donor availability, and HIV viral control. Therefore, we sought to leverage a national longitudinal cohort study of PWH to identify potential deceased donors across the United States and characterize both organ quality and viral control. We hypothesized the number of nationally available donor organs from PWH was greater than the estimates provided by Richterman et al. as they were restricted to PWH in Philadelphia but lower than the estimates provided by Boyarsky et al 16,17 given exclusion of donors with comorbidities such as CKD/ESKD and fibrosis of the liver that preclude donation. Furthermore, we hypothesized that the quality of organs increased over the study period with a greater proportion of lower-risk potential donors existing in recent years given advancements in care of PWH.
Materials and Methods
Data Source
This study utilized the Center for AIDS Research (CFAR) Network of Integrated Clinical Systems (CNICS) cohort and the Centers for Disease Control (CDC) Wonder national death database. CNICS is a longitudinal study in which PWH are enrolled at eight geographically diverse academic medical centers across the United States (Fenway Health, University of North Carolina Chapel Hill, Johns Hopkins University, University of Alabama at Birmingham, Case Western Reserve University, University of California San Diego, University of California San Francisco, University of Washington). Clinical and demographic data, including medical comorbidities, medications and routine laboratory measurements, are collected at study visits and are reported to a central data repository on a periodic basis19. Comorbidities and diagnoses are ascertained via chart review at each site. The CDC Wonder database contains national data pulled from death certificates including underlying and multiple causes of death. This study was approved by the IRB at the University of Alabama at Birmingham (protocol number: 300001300).
Study Design
We performed a cross-sectional analysis of the CNICS database, which contains medical records for more than 34,000 PWH. Participants of CNICS are confirmed to have HIV and therefore no false-positives were included in this analysis. Between 1999 and 2018, 6,504 deaths occurred among PWH enrolled in CNICS care. All comorbidities and laboratory values were captured as close to the date of death as possible. These data were used in estimating the percentage of individuals who could have potentially served as deceased kidney and/or liver donors based on organ quality. From the 6,504 deaths recorded in CNICS care, exclusions were made based on cause of death (cancer or an AIDS-related death; ICD-10 Codes C00-D48 and B20-B24) that would preclude organ donation.
Comorbidities and Organ Quality
All diagnoses were coded in accordance with CNICS recommendations using medications and laboratory measurements captured as close to the date of death as possible. Diabetes was defined as an A1C ≥6.5% or use of a diabetes-specific medication. Hypertension was defined as a reported diagnosis of hypertension based on an elevated systolic and/or diastolic blood pressure or use of an antihypertensive medication. Coronary artery disease was defined as a reported diagnosis of coronary artery disease or myocardial infarction. Hepatitis B and C co-infections were determined by the presence of a positive antigen or antibody test result, and/or the presence of detectable viral DNA. Estimated glomerular filtration rate (eGFR) was calculated using the recently released race-less CKD-EPI eGFR equations20. Chronic kidney disease (CKD) was defined as an eGFR of < 60 mL/min/1.73m2 for more than 90 days without an intervening higher eGFR. Similarly, end-stage kidney disease (ESKD) was defined as the presence of an eGFR <15 mL/min/1.73m2 for more than 90 days without an intervening higher eGFR. The following diagnoses were defined as opportunistic infections: candidiasis, cytomegalovirus (encephalitis, enterocolitis, esophagitis, pneumonitis, retinitis, polyradiculopathy), coccidiomycosis, cryptococcosis, cryptosporidiosis, herpes-simplex (bronchitis, pneumonitis, chronic ulcer, esophagitis), histoplasmosis, mycobacterium, isosporiasis, Kaposi’s sarcoma, cervical cancer, Non-Hodgkin’s lymphoma, pneumocystis, pneumonia, regressive multifocal leukoencephalopathy, salmonella, tuberculosis, and toxoplasmosis. The Kidney Donor Profile Index (KDPI) was calculated for all potential deceased donors in the CNICS cohort. KDPI incorporates demographics, comorbidities, and laboratory values to provide a summary statistic by which clinicians can quickly ascertain the relative quality of a donor kidney, and is used to allocate kidneys for transplant21. Potential deceased donors were then categorized by their KDPI into ranges of 0–20, 21–84, and 85 or greater. The Fibrosis-4 (FIB-4) score was used to assess liver quality based on the estimated amount of fibrosis22. FIB-4 incorporates ALT, AST, platelet count, and age. Potential deceased donors were then categorized by their FIB-4 scores into ranges of mild (<1.45), moderate (1.45–3.25), and severe (>3.25) fibrosis23.
The percentages of potential deceased kidney and/or liver donors with HIV estimated in the CNICS cohort were then applied to the national CDC numbers. The CDC Wonder database was used to determine the number of deaths that occurred nationally among PWH during the study period. We assumed that the PWH identified in CNICS was a representative sample of the national population of PWH identified in the CDC Wonder database. Therefore, the deaths that occurred in CNICS care are a subset of the larger number of national deaths that occurred among PWH. This gave us a final estimate of the number of kidneys and livers available from potential deceased donors with HIV on a national scale.
Data Analyses
PWH were categorized by whether they were non-viremic (<200 copies/mL) or viremic (≥200 copies/mL) at the closest lab to death. The HOPE Act states it is anticipated that the risk of donor-derived superinfection is lower from deceased donors with undetectable viral loads at the time of death but did not preclude donation from donors with active viremia15. Therefore, viral load was not considered an exclusion criterion but was used to label a subset of our potential donors as lower-risk15. Potential lower-risk kidney donors are those with undetectable viral loads as well as a KDPI score below 85. In contrast, lower-risk liver donors are those with undetectable viral loads. Continuous characteristics were then compared across viral load status using the Wilcoxon ranked sum test. Categorical variables were compared using the Chi-squared test of association.
Sensitivity Analyses
The KDPI incorporates an inflation factor for kidneys that come from donors with an HCV infection24. As a result, kidneys from donors with HCV are considered to have a higher risk of graft failure. However, 1-year patient and graft survival rates are similar between recipients who received a kidney from an HCV-positive donor and recipients who received a kidney from an HCV-negative donor25. Due to the large percentage of our cohort with an HCV coinfection, this resulted in a substantial number of kidneys assigned a higher KDPI score indicative of poorer quality. Given comparable patient and graft survival rates in addition to the introduction of direct-acting antivirals, we recalculated KDPI, removing the HCV inflation factor, and compared these results to the results obtained using the official KDPI formula. Additionally, the recently released race-less 2021 CKD-EPI eGFR equation was used to calculate eGFR and subsequently define CKD26. The CKD-EPI equation derived in 2009 has been widely used in clinical settings to estimate GFR and contains an inflation factor based on African American/Black race such that at any given serum creatinine level African American/Black PWH would have a higher eGFR than non-African American/Black PWH26. Given the natural lag in adoption of the 2021 CKD-EPI eGFR equation, we performed the same analysis using the race-based CKD-EPI formula and compared these results to the results obtained from the race-less eGFR equation. Our timeframe includes years in the late 1990s and early 2000s during which ART was not widely available for use by the general population of PWH. Because of this, a higher number of deaths due to AIDS occurred towards the beginning of our study. We examined the percentages within a restricted timeframe and compared them with our main results.
A two-sided p-value of 0.05 was the threshold for statistical significance. All analyses were conducted using SAS 9.4 (Cary, NC).
Results
Overall Cohort
Among the 6,504 deaths that occurred in the CNICS cohort, 867 were excluded due to missing viral load measurement and an additional 716 were excluded due to a cancer or AIDS-related death (ICD-10 Codes C00-D48 and B20-B24). A cohort of 4,921 deceased PWH remained. The cohort was majority male (67.6%) and African American/Black (51.0%). A substantial portion were co-infected with HCV (37.7%) and had hypertension (29.5%). About half of the cohort had a history of smoking (42.3%) and a past opportunistic infection (47.0%) (Table 1). In total, 3,321 (67.4%) were viremic. Over the course of the twenty-year study period, the percentage of viremic PWH decreased (Figure 2). The non-viremic group was majority white (53.0%) and the viremic group was majority African American/Black (56.0%) (p<0.001). Diabetes, hypertension, coronary artery disease, and obesity were more prevalent in the non-viremic group. Current opportunistic infections were more prevalent in the viremic group (Table 1).
Table 1:
Eligible deaths within the CNICS cohort
| Cohort | ||||
|---|---|---|---|---|
| Total | Non-Viremic Viral Load | Viremic Viral Load | P-value | |
| N = 4,921 | N = 1,600 | N = 3,321 | ||
| Demographics | ||||
| Age (Years) | 47 (41, 54) | 51 (45, 58) | 46 (39, 52) | <0.001 |
| Male, Present Sex | 3,327 (67.6) | 1,116 (70.0) | 2,211 (66.6) | <0.001 |
| Transgender | 43 (0.9) | 7 (0.4) | 36 (1.1) | 0.03 |
| Race | <0.001 | |||
| African American/Black | 2,509 (51.0) | 650 (40.6) | 1,859 (56.0) | |
| White | 2,152 (43.7) | 849 (53.0) | 1,303 (9.1) | |
| Asian | 39 (7.9) | 23 (1.4) | 16 (0.5) | |
| Other | 221 (4.5) | 78 (4.9) | 143 (4.3) | |
| Hispanic | 272 (5.5) | 106 (6.6) | 166 (5.0) | 0.02 |
| Comorbidities | ||||
| Diabetes | 321 (6.5) | 175 (10.9) | 146 (4.4) | <0.001 |
| Hypertension | 1,452 (29.5) | 644 (40.0) | 808 (24.3) | <0.001 |
| Coronary artery disease | 650 (13.2) | 290 (18.1) | 360 (10.8) | <0.001 |
| Hepatitis C | 1,856 (37.7) | 606 (37.9) | 1,250 (37.6) | 0.43 |
| Hepatitis B | 429 (8.7) | 135 (8.4) | 294 (8.9) | 0.81 |
| BMI | 23.1 (20.2, 26.9) | 25.2 (21.2, 28.2) | 22.7 (19.6, 26.0) | <0.001 |
| Obesity | 508 (10.3) | 250 (15.6) | 258 (7.8) | <0.001 |
| Social risk factors | ||||
| History of smoking | 2,083 (42.3) | 704 (44.0) | 1,379 (41.5) | 0.01 |
| Alcohol, high risk | 91 (1.8) | 53 (3.3) | 38 (1.1) | <0.001 |
| Intravenous drug use, Ever | 134 (2.7) | 78 (4.9) | 56 (1.7) | <0.001 |
| Cocaine, Ever | 330 (6.7) | 195 (12.2) | 135 (7.1) | <0.001 |
| Kidney characteristics | ||||
| Last Creatinine | 1.0 (0.8, 1.4) | 1.0 (0.8, 1.4) | 0.99 (0.8, 1.4) | <0.001 |
| Days since last creatinine | 104 (20, 601) | 95 (23, 407) | 111 (19, 693) | 0.08 |
| Chronic kidney disease (eGFR < 60 mL/min/1.73 m2) | 396 (8.0) | 132 (8.3) | 264 (7.9) | 0.64 |
| End-stage renal disease | 261 (5.3) | 95 (5.9) | 166 (5.0) | 0.17 |
| KDPI | 65 (44, 85) | 70 (47, 90) | 62 (42, 82) | <0.001 |
| 0–20 | 186 | 49 (3.1) | 137 (4.1) | |
| 21–84 | 2,586 | 875 (54.7) | 1,711 (51.5) | |
| 85+ | 955 | 442 (27.6) | 513 (15.4) | |
| Liver Characteristics | ||||
| ALT | 31 (19, 54) | 30 (19, 52) | 31 (19, 54) | 0.34 |
| AST | 37 (25, 66) | 33 (23, 59) | 39 (26, 71) | <0.001 |
| Bilirubin | 0.5 (0.3, 0.8) | 0.5 (0.4, 0.9) | 0.5 (0.3, 0.8) | 0.15 |
| Platelet count | 197 (134, 258) | 208 (146, 267) | 191 (129, 251) | <0.001 |
| Fibrosis-4 | 1.69 (1.00, 3.29) | 1.51 (0.93, 3.01) | 1.76 (1.03, 3.45) | <0.001 |
| 0–1.45 | 2,076 (43.4) | 760 (47.5) | 1,316 (39.6) | |
| 1.45–3.25 | 1,493 (31.2) | 451 (28.2) | 1,042 (31.4) | |
| 3.25+ | 1,214 (25.4) | 366 (22.9) | 848 (25.5) | |
| HIV history | ||||
| VL < 200 copies/mL | 1,600 (32.5) | 1,600 (100.0) | 0 (0.0) | <0.001 |
| Time since VL measurement | 155 (56, 729) | 124 (53, 451) | 180 (58, 855) | <0.001 |
| OI | ||||
| Past | 2,311 (47.0) | 660 (41.2) | 1,651 (49.7) | <0.001 |
| Current | 66 (1.3) | 9 (0.6) | 57 (1.7) | <0.001 |
Figure 2.
Exclusion diagram for the CFAR Network of Integrated Clinical Systems (CNICS) cohort
Potential Kidney Donors
To estimate the number of potential deceased kidney donors, 751 PWH were excluded from the cohort of 4,921 due to a CKD diagnosis or ESKD diagnosis. An additional 63 were excluded because of an opportunistic infection at the time of death. An additional 866 were excluded due to a missing KDPI value attributable to missing BMI values. Those remaining were considered potential deceased kidney donors. In total, we identified 3,241 potential deceased kidney donors, which represents 65.9% of our cohort of 4,921 (Figure 1). Viral load and KDPI were used to further designate a subset of this group as lower-risk. Of the 3,241 potential deceased kidney donors, 2,067 (63.8%) were viremic and 1,174 (36.2%) were non-viremic. The group of potential deceased kidney donors had a median CD4 count of 201 (IQR: 44, 420). The viremic group had a median CD4 count of 102 (IQR: 20, 308) and the non-viremic group having a CD4 count of 371 (IQR: 192, 593)(p-value<.0001). Fewer viremic donors had a KDPI ≥85 compared to non-viremic donors (18.8% versus 30.0%, p<.0001). Considering those who were non-viremic with a low to moderate KDPI as lower-risk donors, we identified 821 potential deceased kidney donors, which represents 16.7% of our cohort of 4,921 (Table 2).
Figure 1:
Exclusion diagram for the CNICS cohort
Table 2:
Characteristics of ideal potential kidney and liver non-viremic cohorts
| Ideal Potential Deceased Kidney Donors (N=821) | Ideal Potential Deceased Liver Donors (N=1,206) | |
|---|---|---|
| Demographics | ||
| Age (Years) | 48 (42, 53) | 51 (44, 58) |
| Male, Present Sex | 637 (78.2) | 835 (69.2) |
| Transgender | 6 (0.7) | 5 (0.4) |
| Race | ||
| African American/Black | 216 (25.3) | 482 (40.0) |
| White | 538 (67.4) | 653 (54.1) |
| Asian | 20 (2.2) | 16 (1.3) |
| Other | 47 (5.0) | 55 (4.6) |
| Hispanic | 73 (8.8) | 74 (6.1) |
| Comorbidities | ||
| Diabetes | 46 (4.5) | 122 (10.1) |
| Hypertension | 230 (27.4) | 488 (40.5) |
| Coronary artery disease | 97 (9.8) | 212 (17.6) |
| Hepatitis C | 237 (30.0) | 384 (31.8) |
| Hepatitis B | 75 (8.8) | 88 (7.3) |
| BMI | 24.6 (21.6, 28.3) | 24.7 (21.5, 28.5) |
| Obesity | 152 (18.0) | 198 (16.4) |
| Social risk factors | ||
| History of smoking | 374 (45.5) | 525 (43.5) |
| Alcohol, high risk | 39 (4.8) | 43 (3.6) |
| Intravenous drug use, Ever | 40 (5.5) | 60 (5.0) |
| Cocaine, Ever | 117 (14.7) | 159 (13.2) |
| Kidney characteristics | ||
| Last Creatinine | 0.93 (0.8, 1.1) | 1.0 (0.8, 1.3) |
| Days since last creatinine | 99 (27, 402) | 112 (29, 428) |
| Liver Characteristics | ||
| ALT | 30 (20, 50) | 27 (18, 45) |
| AST | 31 (22, 54) | 27 (21, 40) |
| Bilirubin | 0.5 (0.3, 0.8) | 0.5 (0.3, 0.7) |
| Platelet count | 215 (153, 273) | 231 (184, 289) |
Nationally, 233,051 deaths were identified among PWH between 1999 and 2018 and were captured in the CDC Wonder database. Exclusions included death occurring in a location outside of care (n=92,857) and an underlying cause of death due to HIV or neoplasms (n=128,146). This left a national cohort of 12,048. Applying the percentage of potential donors estimated using the CNICS cohort (65.9%) to the national cohort of 12,048, there were 7,939 potential deceased donors with HIV available during this twenty-year timeframe, which equates to about 396 donors or 792 kidneys annually. Applying the percentage of lower-risk transplantable kidneys estimated using the CNICS cohort (16.7%) to the national cohort of 12,048, we estimate there were 2,012 lower-risk potential deceased donors with HIV available during this twenty-year time period, which equates to approximately 100 donors or 200 kidneys annually.
Sensitivity Analyses
After removal of the HCV inflation factor from the KDPI formula, lower-risk potential deceased donors with HCV had a KDPI score that was an average of 7.25 points lower, resulting in 141 potential donors falling below a KDPI of 85. Subsequently, the number of lower-risk potential kidney donors in the CNICS cohort increased from 821 (16.7%) to 962 (19.5%). Applied to the national cohort of 12,048, this would result in 2,349 lower-risk potential deceased kidney donors during the twenty-year period or approximately 117 donors or 234 kidneys annually, an increase of 34 kidneys per year beyond estimates that penalized co-infection with HCV.
When using the race-based CKD-EPI equation to calculate eGFR and subsequently diagnose CKD, the estimated number of lower-risk potential kidney donors increased from 821 to 850. This represented 17.3% of our eligible cohort. Applied to the national cohort of 12,048, this would result in 2,084 potential deceased kidney donors over the twenty-year period, or 104 donors or 208 kidneys annually, an increase of 8 kidneys per year beyond estimates based on race-less eGFR. This increase in potential kidney donors largely comes from those of African American/Black race, accounting for 51.7% of those who would be classified as having CKD under the 2021 CKD-EPI formula but not the 2009 CKD-EPI formula.
Using the restricted timeframe of 2005–2018, 72.3% of our cohort would have been designated a potential kidney donor compared with 65.9% estimated in our main results. Using the CDC Wonder database, a national cohort of 8,216 was identified. Applying the percentage from CNICS to this national cohort, there were an estimated 424 donors or 848 kidneys available for donation annually, an increase of 56 kidneys. Our primary findings are slightly underestimated, although comparable with those found in our sensitivity analyses.
Potential Liver Donors
To estimate the number of potential deceased liver donors, 1,214 PWH were excluded from the cohort of 4,921 due to a FIB-4 score greater than 3.25, indicating severe fibrosis. An additional 34 were excluded because of an opportunistic infection at the time of death. An additional 137 were excluded due to a missing FIB-4 score. Those remaining were considered potential deceased liver donors. In total, we identified 3,536 potential deceased liver donors, which represents 71.9% of our final cohort of 4,921. Similar to the kidney analysis, viral load was used to further designate a subset of this group as lower-risk based on the risk of superinfection. Of the 3,536 potential deceased liver donors, 2,330 (65.9%) were viremic and 1,206 (34.1%) were non-viremic. The total group of potential deceased liver donors had a median CD4 count of 222 (IQR: 50, 453). The viremic sub-group had a median CD4 count of 129 (IQR: 22,347) and the non-viremic sub-group a median CD4 count of 401 (IQR: 224, 625) (p-value <.0001). Considering those who were non-viremic as lower-risk donors, we identified 1,206 potential deceased liver donors, which represents 24.5% of our cohort of 4,921 (Table 2).
Applying the percentage of transplantable organs estimated using the CNICS cohort (71.9%) to the national cohort of 12,048 described above, we estimate there were 8,662 potential deceased donors with HIV during this twenty-year period, which equates to about 433 livers annually. Applying the percentage of lower-risk transplantable livers estimated using the CNICS cohort (24.5%) to the national cohort of 12,048, we estimate there were 2,951 lower-risk potential deceased donors with HIV during this twenty-year period, which equates to about 147 livers annually.
Sensitivity Analysis
Using the restricted timeframe of 2005–2018, 76.4% of our cohort would have been designated a potential kidney donor compared with 71.9% estimated in our main results. Again, using the CDC Wonder database, the restricted timeframe, and the same exclusions discussed in our main Results, we estimated a national cohort of 8,216. Extrapolated nationally, we estimate there were 448 liver donors annually, an increase of 15 livers over our main estimate of 433. Although comparable, this estimate shows that our main results were slightly underestimated.
Discussion
The HOPE Act was passed with the intention to mitigate the organ shortage by allowing donors with HIV to donate to PWH with end-stage organ disease. This provides an organ source exclusively designated for PWH, a vulnerable population who are less likely to receive a transplant than their HIV-negative counterparts5,6. However, transplant clinicians have not observed the large number of organs from donors with HIV that were expected. In 2018, 1,636 PWH were on the kidney transplant waitlist and 437 PWH were on the liver transplant waitlist nationally, revealing a demand for these donor organs27. We estimated there were 792 eligible kidneys and 433 available livers annually, yet only 170 kidney and 53 liver transplants have ever been performed as of December 2020 in the United States28. Our results suggest there may be more organs available for candidates living with HIV than current transplant numbers indicate. While recent research suggests that concerns about superinfection attributable to viral load may not be valid14,17,18, donors were characterized by presence of active viremia to determine what proportion would meet such a threshold. There were an estimated 200 lower-risk kidneys (based on KDPI and viral load) and 147 lower-risk livers (based solely on viral load) annually from 1999–2018. Compared to the total estimates of 792 kidneys and 433 livers, this distinction highlights the large difference in the total number of potential donors and those who would be considered lower-risk based on viremia and KDPI.
Our estimates for lower-risk donors are conservative, as high viral loads and high KDPI are not necessarily disqualifications for organ donation. For example, we chose to classify those with a high viral load separately to minimize the risk of HIV superinfection; however, the true risk of HIV superinfection is difficult to predict as it is unknown how much of the virus remains in a donor organ after it has been prepared for transplantation29. South Africa, which is known to have low ART resistance rates, has been using organs from donors with high viral loads, with results indicating that the chances of superinfection as a result of a new strain of HIV being passed from the donor are low13. Similarly, early results in the United States suggest superinfection may not be a clinical concern as long as recipients maintain a suppressed viral load and adhere to an ART treatment regimen18. While the largest single exclusion criteria for both lower-risk groups was viral load (2,067 potential deceased kidney donors and 2,330 potential deceased liver donors), our data suggest the proportion of PWH who would confer such a risk are decreasing. More intensive management of HIV including strict adherence to ART regimens could lead to a larger pool of donors with HIV in the future. The other criterion for determination of a lower-risk kidney donor was KDPI<85, yet kidneys from donors with KDPI>85are routinely transplanted, albeit at a lower rate than higher quality organs30. As the practice of transplantation with donor organs from PWH expands, refinement of donor criteria will also occur as evidenced by the consideration of superinfection risk,15,17,18.
Further education is needed to increase the efficacy of the HOPE Act. In a study of 114 PWH from 2018, only 21.1% of PWH were registered organ donors, however 79.8% of PWH said they were willing to be deceased donors31. Although most PWH were aware of the ongoing organ shortage (80.7%), only 24.6% were aware of the HOPE Act in 2016. Of the participants who were aware of the HOPE Act, most learned of it from the news instead of from a healthcare provider31. Nguyen et. al. suggests that education should emphasize the legality of donations between PWH and that the process of organ donor registration is identical for PWH and people without HIV. Additionally, education campaigns should be targeted toward both PWH and the medical community about the possibility of organ donation for PWH31. Direct discussions about organ donation with a primary care provider may be associated with an increased willingness to donate among patients in the general population31. Despite this, discussions about organ donation are uncommon between primary care physicians and their patients, with less than four percent reporting they had conversed with the majority of their patients about the possibility32. By broaching this topic with patients and providing educational resources on the topic, physicians may be able to encourage more patients to consent to organ donation. This is especially important among PWH, as many remain unaware that they are legally able to donate their organs. Current criteria for organ donation can be found on the United Network for Organ Sharing website33.
A significant portion of the responsibility to implement the HOPE Act falls on Organ Procurement Networks (OPOs) which face several barriers. A total of fifty-eight OPOs evaluate deceased donors in the United States within their respective designated service areas. Predmore et al. identified several barriers to implementation including financial and ethical reasons as well as fears of HIV infection among OPO and hospital staff34. Legal barriers also exist, such as whether a deceased donor’s HIV status should be disclosed to their next of kin. Some participants in their study reported that referrals of donors with an HIV diagnosis were treated differently due largely to stigmatization and assumptions about an HIV diagnosis. The participants suggested that educational efforts and building relationships with local HIV advocacy groups are the best ways to address and overcome these barriers34.
Our study expands on previous work by Boyarsky et al. and Richterman et al. to address important limitations in each. We projected fewer available organs than Boyarsky. However, organ quality was not assessed in their study16. We estimated a greater number of available kidneys but fewer livers than Richterman et. al. However, their study was limited to data from one city and thus, may have underestimated the national donor pool17. These highlight the strengths of our study. The utilization of data from a multicenter national cohort of PWH accounts for a large degree of geographic diversity. Detailed clinical information on HIV treatment was used in order to make estimates based on viral load as well as organ quality. These factors allowed us to create a large, comprehensive cohort of potential deceased donors with HIV. Further, our study utilized national death data to extrapolate the estimates from the CNICS cohort to a national scale, resulting in a total of 7,886 potential kidney donors and 7,542 potential liver donors.
There were also limitations to this study. Beyond PWH, the HOPE Act has also allowed people who falsely tested positive for HIV to donate organs to PWH, individuals whose organs would historically have been discarded. Durand et. al estimates an additional 50–100 HIV false-positive donors per year based on accuracy of testing methods and the number of deceased donors annually screened35 and, as CNICS only captures PWH, we have likely underestimated the total pool of donor organs available to PWH as a result of the HOPE Act. Additionally, we assumed that CNICS is representative of the national population of PWH. However, all PWH enrolled in the CNICS cohort were receiving HIV treatment, and therefore may not accurately represent the entire population of potential donors with HIV in the United States. The retrospective design of this study relies on historical data based on practices and treatments that are not reflective of current HIV treatment standards. Prospective studies could elucidate provider acceptance patterns, potential donor consent rates, and candidate willingness to accept such organs while also reflecting contemporary clinical care of PWH. As many PWH are diagnosed at time of death, we are likely missing a pool of potential donors with HIV. We cannot ascertain what percentage of our cohort would have consented to donation. We do not know how many individuals in the CNICS cohort would have been excluded from donation due to death occurring outside of a hospital setting as this data was unavailable. Our timeframe of 1999–2018 includes years when ART was available but had not yet become widespread, and therefore it is possible that our results underestimate the number of potential donors that would be available today. Our sensitivity analyses confirmed this, though the magnitude of such underestimation was minimal (56 kidneys and 15 livers). Assessing donor quality was contingent upon data elements collected within CNICS. While KDPI only has moderate power in predicting kidney graft survival36, this is the measure that is used clinically to determine the allocation of kidney donations. KDPI, however, was missing for a number of PWH due to missing BMI data. As PWH missing KDPI were excluded, we may have subsequently under-estimated the number of potential donors. Last, we were unable to calculate the liver donor risk index because it requires variables that are not recorded in the CNICS cohort. We used FIB-4 as an alternative measure, which has been validated in PWH38. While other organs such as hearts and lungs may be transplanted under the HOPE Act, our study focuses solely on kidneys and livers. The HOPE Act stresses that clinical expertise performing transplants between donors without HIV and recipients with HIV be gained prior to transplants between both donors and recipients with HIV. Greater research on heart and lung transplantation among PWH is warranted to spur expansion of transplantation among PWH, including utilization of organs from donors with HIV. Despite the inherent limitations of this study, these data provide a meaningful update on the estimated number of available donor organs from PWH nationally.
In conclusion, we estimated there were a substantial number PWH who would meet criteria for kidney and/or liver organ donation. Donations from PWH are now legal through the HOPE Act, however these data suggest there are more PWH who could potentially serve as donors than has been realized in current practice. Because of the ongoing organ shortage and the additional vulnerabilities faced by PWH, efforts should be made to educate the medical community and the HIV-positive community on the importance and legality of organ donation.
ACKNOWLEDGEMENTS AND FUNDING
This study was funded by the NIH R01DK117675 (PI: Locke). Additional funding for CNICS was from the National Institute of Allergy and Infectious Diseases (NIAID) [CNICS R24 AI067039; UW CFAR NIAID Grant P30 AI027757; UAB CFAR grant P30 AI027767; UNC CFAR grant P30 AI50410; and JHU CFAR grant P30 AI094189]; the National Institute of Alcohol Abuse and Alcoholism (NIAAA) [U24AA020801, U01AA020793 and U01AA020802], and the National Institute on Drug Abuse (NIDA) [R01DA047045].
ABBREVIATION LIST:
- A1C
Glycated Hemoglobin
- AIDS
Acquired Immunodeficiency Syndrome
- ALT
Alanine Aminotransferase
- ART
Antiretroviral Therapy
- AST
Aspartate Aminotransferase
- CDC
Centers for Disease Control
- CFAR
Center for AIDS Research
- CKD
Chronic Kidney Disease
- CKD-EPI
Chronic Kidney Disease Epidemiology Collaboration
- CNICS
Center for AIDS Research Network of Integrated Clinical Systems
- eGFR
Estimated Glomerular Filtration Rate
- ESKD
End-Stage Kidney Disease
- FIB-4
Fibrosis 4
- HBV
Hepatitis B Virus
- HCV
Hepatitis C Virus
- HIV
Human Immunodeficiency Virus
- HOPE
HIV Organ Policy Equity
- ICD10
International Classification of Diseases
- IRB
Institutional Review Board
- KDPI
Kidney Donor Profile Index
- OI
Opportunistic Infection
- OPO
Organ Procurement Network
- LDKT
Living Donor Kidney Transplantation
- PWH
People with HIV
Footnotes
TWITTER HANDLES: @deirdre.sawinski; @uab_team
PROPOSED TWEET: “People with HIV (PWH) are legally allowed to donate organs to other PWH. Our results indicate a substantial number of organs are available from PWH each year.”
DISLCOSURES
None.
CONFLICT OF INTEREST STATEMENT:
No authors report any conflicts of interests.
REFERENCES
- 1.Marcus J, Chao C, Leyden W et al. Narrowing the Gap in Life Expectancy Between HIV-Infected and HIV-Uninfected Individuals With Access to Care. J Acquir Immune Defic Syndr 2016;73:1: 39–46. Doi: 10.1097/QAI.0000000000001014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.100 people transplanted thanks to HOPE Act. UNOS. https://unos.org/news/100-people-transplanted-thanks-to-hope-act/. Published February 19, 2019. Accessed October 15th, 2021.
- 3.Althoff K, Gebo K, Moore R, et al. Contributions of traditional and HIV-related risk factors on non-AIDS-defining cancer, myocardial infarction, and end-stage liver and renal diseases in adults with HIV in the USA and Canada: a collaboration of cohort studies. Lancet HIV 2019;6(2):e93–e104. doi: 10.1016/S2352-3018(18)30295-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Abraham A, Althoff K, Jing Y, et al. End-stage renal disease among HIV-infected adults in North America. Clin Infect Dis 2015;60(6):941–9. doi: 10.1093/cid/ciu919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Locke J, Mehta S, Sawinski D, et al. Access to Kidney Transplantation among HIV-Infected Waitlist Candidates. Clin J Am Soc Nephrol 2017;12:3:467–475. Doi: 10.2215/CJN.07460716 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Shaffer A and Durand C. Solid Organ Transplantation for HIV-Infected Individuals. Curr Treat Options Infect Dis 2018. Mar; 10(1): 107–120. doi: 10.1007/s40506-018-0144-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Organ Procurement and Transplantation Network, 42 USC § 274 (2013). Accessed November 11th, 2021. [Google Scholar]
- 8.Doby B, Tobian A, Segev D, Durand C. Moving from the HIV Organ Policy Equity Act to HIV Organ Policy Equity in action. Curr Op in Organ Transplant 2018;23(2):271–278. doi: 10.1097/MOT.0000000000000510 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Coffin CS, Stock PG, Dove LM, et al. Virologic and clinical outcomes of hepatitis B virus infection in HIV-HBV coinfected transplant recipients. Am J Transplant 2010;10:1268–1275. doi: 10.1111/j.1600-6143.2010.03070.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Terrault N, Roland M, Schiano T, et al. Outcomes of liver transplant recipients with hepatitis C and human immunodeficiency virus coinfection. Liver Transpl 2012;18:716–726. doi: 10.1002/lt.23411 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Harbell J, Fung J, Nissen N, et al. Surgical complications in 275 HIV-infected liver and/or kidney transplantation recipients. Surgery 2012;152:376–381.doi: 10.1016/j.surg.2012.06.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Stock P, Barin B, Murphy B, et al. Outcomes of kidney transplantation in HIV-infected recipients. N Engl J Med 2010;363:2004–2014.doi: 10.1056/NEJMoa1001197 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Selhorst P, Combrinck C, Manning K, et al. Longer-Term Outcomes of HIV-Positive–to–HIV-Positive Renal Transplantation. N Engl J Med 2019;381:1387–1389. doi: 10.1056/NEJMc1903013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Durand C, Zhang W, Brown D, et al. A prospective multicenter pilot study of HIV-positive deceased donor to HIV-positive recipient kidney transplantation: HOPE in action. Am J Transplant 2021;21(5):1754–1764. doi: 10.1111/ajt.16205 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.National Institutes of Health, US Department of Health and Human Services. 2015. Final Human Immunodeficiency Virus (HIV) Organ Policy Equity (HOPE) Act Safeguards and Research Criteria for Transplantation of Organs Infected With HIV. [Google Scholar]
- 16.Boyarsky B, Hall E, Singer A, et al. Estimating the potential pool of HIV-infected deceased organ donors in the United States. Am J Transplant 2011;11:6:1209–1217. doi: 10.1111/j.1600-6143.2011.03506.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Richterman A, Sawinski D, Reese P, et al. An Assessment of HIV-Infected Patients Dying in Care for Deceased Organ Donation in a United States Urban Center. Am J Transplant 2015;15:8:2105–2116. doi: 10.1111/ajt.13308. [DOI] [PubMed] [Google Scholar]
- 18.Bonny T, Kirby C, Martens C, et al. Outcomes of donor-derived superinfection screening in HIV-positive to HIV-positive kidney and liver transplantation: a multicenter, prospective, observation study. Lancet HIV 2020;7:e611–19. doi: 10.1016/S2352-3018(20)30200-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kitahata M, Rodriguez B, Haubrich R, et al. Cohort profile: the Centers for AIDS Research Network of Integrated Clinical Systems. Int J Epidemiol 2008;37(5):948–955. doi: 10.1093/ije/dym231 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Inker L, Eneanya D, Coresh J, et al. New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race. N Engl J Med 2021;385:1737–1749. doi: 10.1056/NEJMoa2102953 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kidney Donor Profile Index (KDPI) Guide for Clinicians. Organ Procurement and Transplantation Network. https://optn.transplant.hrsa.gov/resources/guidance/kidney-donor-profile-index-kdpi-guide-for-clinicians/. Accessed November 15th, 2021. [Google Scholar]
- 22.Vallet-Pichard A, Mallet V, Pol S. FIB-4: a simple, inexpensive and accurate marker of fibrosis in HCV-infected patients. Hepatology 2006;44(3):769; author reply 769–70. doi: 10.1002/hep.21334 [DOI] [PubMed] [Google Scholar]
- 23.World Health Organization. Guidelines for the Prevention Care and Treatment of Persons with Chronic Hepatitis B Infection. World Health Organization; 2015. [PubMed] [Google Scholar]
- 24.Rao PS, Schaubel DE, Guidinger MK, Andreoni KA, Wolfe RA, Merion RM, Port FK, Sung RS. A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index. Transplantation 2009;27;88(2):231–6. doi: 10.1097/TP.0b013e3181ac620b. PMID: 19623019. [DOI] [PubMed] [Google Scholar]
- 25.Cannon R, Locke J, Orandi B, et al. Impact of Donor Hepatitis C Virus on Kidney Transplant Outcomes for Hepatitis C-positive Recipients in the Direct-acting Antiviral Era: Time to Revise the Kidney Donor Risk Index? Transplantation 2020. Jun;104(6):1215–1228. doi: 10.1097/TP.0000000000002949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Levey A, Stevens L, Schmid C, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009;150(9):604–612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.OPTN/SRTR 2018. Annual Data Report: Kidney. Health Resources and Services Administration. Accessed December, 2020. [Google Scholar]
- 28.HOPE Act impact continues at five-year milestone. UNOS. https://unos.org/news/in-focus/hope-act-impact-continues-at-five-year-milestone/. Published December 16, 2020. Accessed November 12, 2021.
- 29.Muller E and Barday Z.. HIV-Positive Kidney Donor Selection for HIV-Positive Transplant Recipients. JASN 2018, 29(4):1090–1095; doi: 10.1681/ASN.2017080853 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Tanriover B, Mohan S, Cohen DJ, et al. Kidneys at Higher Risk of Discard: Expanding the Role of Dual Kidney Transplantation. Am J Transplant 2014;14(2):404–415. doi: 10.1111/ajt.12553 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nguyen A, Anjum S, Halpern S, et al. Willingness to Donate Organs Among People Living With HIV. J Acquir Immune Defic Syndr 2018;79:1:e30-e36. doi: 10.1097/QAI.0000000000001760 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Thornton J, Curtis J, Allen M. Primary Care Physicians’ Attitudes and Practices Regarding Discussing Organ Donation With Their Patients. J Natl Med Assoc 2010;102(1):52–58. doi: 10.1016/s0027-9684(15)30478-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.United Network for Organ Sharing. Deceased Donation 2022. https://unos.org/transplant/deceased-donation/. Accessed February 14, 2022.
- 34.Predmore Z, Doby B, Bozzi D, et al. Barriers experienced by organ procurement organizations in implementing the HOPE act and HIV-positive organ donation. AIDS Care 2021;28;1–7. doi: 10.1080/09540121.2021.1945999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Durand C, Halpern S, Bowring M, Organs from Deceased Donors with False-Positive HIV Screening Tests: An Unexpected Benefit of the HOPE Act. Am J Transplant 2018;18(89).doi: 10.1111/ajt.14993 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Prado N, da Silva C, Meinerz G, et al. Usefullness of Kidney Donor Profile Index (KDPI) to predict graft survival in a South Brazilian Cohort. J Bras Nefrol 2020;42(2):211–218. doi: 10.1590/2175-8239-JBN-2018-0263 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Thompson-Paul A, Wei S, Mattison C, et al. Obesity Among HIV-Infected Adults Receiving Medical Care in the United States. Medicine 2015;94(27):e1081. doi: 10.1097/MD.0000000000001081 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Resino S, Asensio C, Bellón JM, et al. Diagnostic accuracy of the APRI, FIB-4, and the Forns index for predicting liver fibrosis in HIV/HCV-coinfected patients: a validation study. J Infect 2011;63(5):402–5. doi: 10.1016/j.jinf.2011.07.017 [DOI] [PubMed] [Google Scholar]


