| Literature DB >> 34183513 |
Malcolm MacConmara1, Benjamin Wang1, Madhukar S Patel2, Christine S Hwang1, Lucia DeGregorio1, Jigesh Shah1, Steven I Hanish1, Dev Desai1, Raymond Lynch3, Bekir Tanriover4, Herbert Zeh1, Parsia A Vagefi1.
Abstract
OBJECTIVE: During the initial wave of the COVID-19 pandemic, organ transplantation was classified a CMS Tier 3b procedure which should not be postponed. The differential impact of the pandemic on access to liver transplantation was assessed. SUMMARY BACKGROUND DATA: Disparities in organ access and transplant outcomes among vulnerable populations have served as obstacles in liver transplantation.Entities:
Mesh:
Year: 2021 PMID: 34183513 PMCID: PMC8354487 DOI: 10.1097/SLA.0000000000004994
Source DB: PubMed Journal: Ann Surg ISSN: 0003-4932 Impact factor: 13.787
FIGURE 1United States daily new deaths due to COVID-19 with regard to study time period designations.
FIGURE 2A, Rates of new waitlist listings in 2020 relative to 2019; B, Rates of waitlist removal in 2020 relative to 2019; C, Rates of liver transplant in 2020 relative to 2019.
FIGURE 3A, Proportion of liver transplant candidate waitlist designated as actively receiving offers; B, Proportion of waitlist inactivated due to UNOS code “COVID-19 Precaution.”
Recipient Characteristics
| White 2020, n = 4396 | Minority 2020, n = 1885 | White 2019, n = 4454 | Minority 2019, n = 1867 |
| ||
| Age, mean (SD) | 55.6 (11.4) | 53.9 (12.2) | 56.0 (11.4) | 54.3 (12.1) | <0.0001 | |
| Sex, n (%) | Female | 1560 (35.5) | 725 (38.5) | 1533 (34.4) | 759 (40.7) | <0.001 |
| Male | 2836 (64.5) | 1160 (61.5) | 2921 (65.6) | 1108 (59.3) | ||
| Primary payer, n (%) | Private | 2361 (54.1) | 817 (43.7) | 2458 (55.2) | 768 (41.1) | <0.001 |
| Public | 1989 (45.6) | 1041 (55.6) | 1973 (44.3) | 1088 (58.3) | ||
| Other | 16 (0.3) | 13 (0.7) | 22 (0.5) | 11 (0.6) | ||
| Educational attainment, n (%) | High school or less | 1556 (37.2) | 1074 (59.8) | 1685 (39.0) | 1072 (58.9) | <0.001 |
| Some college | 1141 (27.3) | 348 (19.4) | 1205 (27.9) | 399 (21.9) | ||
| Bachelor's degree | 1482 (35.5) | 375 (20.8) | 1434 (33.1) | 350 (19.2) | ||
| MELD at transplant, mean (SD) | 21.0 (10.6) | 22.3 (11.6) | 20.0 (10.6) | 20.6 (13.1) | <0.0001 | |
| BMI, kg/m2 | 29.3 (6.2) | 28.7 (6.3) | 29.0 (5.9) | 28.3 (5.9) | 0.0008 | |
| HCC, n (%) | Yes | 845 (19.4) | 462 (24.7) | 946 (21.2) | 585 (31.4) | <0.001 |
| No | 3521 (80.6) | 1409 (75.3) | 3507 (78.8) | 1281 (68.6) | ||
| Donor Risk Index, mean (SD) | 1.60 (0.42) | 1.59 (0.42) | 1.51 (0.42) | 1.52 (0.41) | 0.528 |
Change in Transplants, Listings, and Removals During Pandemic Relative to 2019 (Period 1)
| Recipient Characteristics | Transplants | Listings | Removals | |
| Sex, % | Female | −10.9% | −15.1% | −20.0% |
| Male | −8.9% | −11.5% | −12.9% | |
| Educational attainment, % | High school or less | −10.4% | −20.2% | −10.7% |
| Some college | −20.7% | −9.3% | −26.5% | |
| Bachelor's degree | −5.4% | −8.0% | −11.9% | |
| Geographic region, % | Northeast | −4.3% | −17.8% | −27.9% |
| Southeast | −5.9% | −5.8% | 5.2% | |
| Southwest | −12.0% | −17.7% | −29.8% | |
| Midwest | −20.3% | −13.4% | −12.0% | |
| West | −5.4% | −11.2% | −16.8% |
Transplant Center Characteristics
| Pre-Pandemic 2019 | Pandemic 2020 |
| ||
| Center Transplant volume, n (%) | Small | 843 (13.4) | 729 (11.6) | 0.005 |
| Medium | 1992 (31.7) | 1885 (30.0) | ||
| Large | 3440 (54.8) | 3661 (58.3) | ||
| Minority patients at center, n (%) | Small | 238 (3.8) | 217 (3.5) | 0.143 |
| Medium | 588 (9.4) | 587 (9.4) | ||
| Large | 1021 (16.3) | 1084 (17.3) |
FIGURE 4A, Proportion of waitlist removals with “death” as reason; B, Proportion of waitlist removals with “too sick to transplant” as reason.
FIGURE 5Competing risk regression (CRR): subdistribution hazard model analysis comparing Minority and White waitlist candidates where primary event was transplant and competing event was removal from waitlist due to too sick/death. Each subgroup model is adjusted for sex, MELD at initiation of the waitlist, primary diagnosis, insurance status, and region. A, All candidates; B, High MELD group (fulminant or MELD>20); C, Low MELD group (MELD score ≦20); D, Candidates at large-volume programs only.
SHR in Waitlist Candidate Subgroups
| Transplant (Competing risk of Too Sick/Death) | Too Sick/Death (Competing Risk of Transplant) | |||||||||
| SHR | 95% CI |
| SHR | 95% CI |
| |||||
| All candidates | 0.90 | 0.85 | — | 0.96 | 0.001 | 0.98 | 0.90 | — | 1.07 | 0.700 |
| Subgroups | ||||||||||
| Private insurance only | 0.92 | 0.85 | — | 1.01 | 0.077 | 1.00 | 0.88 | — | 1.15 | 0.946 |
| Public insurance only | 0.88 | 0.81 | — | 0.96 | 0.003 | 0.96 | 0.86 | — | 1.07 | 0.438 |
| High MELD | 0.81 | 0.74 | — | 0.89 | <0.001 | 0.98 | 0.83 | — | 1.15 | 0.772 |
| Low MELD | 0.99 | 0.92 | — | 1.07 | 0.830 | 0.94 | 0.84 | — | 1.04 | 0.223 |
| Large size program | 0.81 | 0.73 | — | 0.89 | <0.001 | 0.85 | 0.73 | — | 0.99 | 0.031 |
| Medium size program | 1.05 | 0.91 | — | 1.21 | 0.500 | 0.98 | 0.80 | — | 1.20 | 0.860 |
| Small size program | 1.12 | 0.88 | — | 1.43 | 0.347 | 0.91 | 0.67 | — | 1.23 | 0.521 |
| Female candidates | 0.90 | 0.84 | — | 0.97 | 0.009 | 0.92 | 0.83 | — | 1.03 | 0.164 |
| Male candidates | 0.89 | 0.81 | — | 0.98 | 0.019 | 1.08 | 0.95 | — | 1.24 | 0.225 |
SHR represents likelihood of event in the Minority group compared with the White group. Each subgroup model is adjusted for sex, MELD at initiation of the waitlist, primary diagnosis, insurance status, and region.