Advertisement
Adult: Transplantation| Volume 12, P234-254, December 2022

Download started.

Ok

Prolonged waitlisting is associated with mortality in extracorporeal membrane oxygenation-supported heart transplantation candidates

Open AccessPublished:October 05, 2022DOI:https://doi.org/10.1016/j.xjon.2022.09.010

      Abstract

      Objective

      Heart transplantation (HTx) candidates supported with venoarterial extracorporeal membrane oxygenation (ECMO) may be listed at highest status 1 but are at inherent risk for ECMO-related complications. The effect of waitlist time on postlisting survival remains unclear in candidates with ECMO support who are listed using the new allocation system.

      Methods

      Adult candidates listed with ECMO for a first-time, single-organ HTx from October 18, 2018, to March 21, 2021, in the Scientific Registry of Transplant Recipients database were included and stratified according to waitlist time (≤7 vs ≥8 days). Postlisting outcomes were compared between cohorts.

      Results

      Among 175 candidates waitlisted for ≤7 days, 162 (92.6%) underwent HTx whereas 13 (7.4%) died/deteriorated compared with 41 (57.8%) and 21 (29.6%) of the 71 candidates waitlisted for ≥8 days, respectively (P < .01). Blood type O candidates (odds ratio [OR], 2.94; 95% CI, 1.54-5.61) were more likely to wait ≥8 days whereas candidates with concurrent intra-aortic balloon pump were less likely (OR, 0.30; 95% CI, 0.10-0.89). Obesity was additionally associated among those listed at status 1 (OR, 2.04; 95% CI, 1.00-4.17). Waitlisting for ≥8 days was independently associated with 90-day postlisting mortality conditional on survival to day 8 postlisting (hazard ratio, 5.59; 95% CI, 2.59-12.1). Candidates listed at status 1 showed similar trends (hazard ratio, 5.49; 95% CI, 2.39-12.6). There was no significant difference in 90-day post-HTx survival depending on whether a candidate waited for ≥8 days versus ≤7 days (92.7 vs 92.0%; log rank P = .87).

      Conclusions

      Among ECMO-supported candidates, obtaining HTx within 1 week of listing might improve overall survival.

      Graphical abstract

      Key Words

      Abbreviations and Acronyms:

      BMI (body mass index), ECMO (extracorporeal membrane oxygenation), HR (hazard ratio), HTx (heart transplantation), IABP (intra-aortic balloon pump), IQR (interquartile range), LVAD (left ventricular assist device), OR (odds ratio), SRTR (Scientific Registry of Transplant Recipients)
      Figure thumbnail fx2
      Prolonged listing is associated with worse 90-day postlisting survival.
      In heart transplant candidates supported with ECMO, undergoing transplant within the first week of listing might improve overall survival.
      The new donor heart allocation system places ECMO-supported candidates at highest status 1. A substantial portion, however, wait for more than 1 week, which predisposes candidates to deconditioning and ECMO-related complications. These candidates face a fivefold increase in hazard of 90-day postlisting mortality. Every effort should be made to obtain a transplant within 1 week of listing.
      In October 2018, the Organ Procurement and Transplantation Network updated its donor heart allocation policy to permit candidates in florid biventricular failure, supported with either venoarterial extracorporeal membrane oxygenation (ECMO) or surgical biventricular assist device, uncontended placement atop the waitlist with wider access to donor organs.
      OPTN/UNOS Thoracic Organ Transplantation Committee
      Proposal to modify the adult heart allocation system.
      This change was prompted by data showing disproportionate waitlist mortality in this cohort under the old allocation systems that permitted hemodynamically stable candidates to be listed at the same status.
      • Wever-Pinzon O.
      • Drakos S.G.
      • Kfoury A.G.
      • Nativi J.N.
      • Gilbert E.M.
      • Everitt M.
      • et al.
      Morbidity and mortality in heart transplant candidates supported with mechanical circulatory support is reappraisal of the current United Network for Organ Sharing thoracic organ allocation policy justified?.
      During discussion of the new donor heart allocation system in 2016, the decision to restrict the initial qualifying period to 7 days for those supported with ECMO sought to balance equitable access to donor organs while ensuring device use in appropriate patients.
      OPTN/UNOS Thoracic Organ Transplantation Committee
      Proposal to modify the adult heart allocation system.
       However, modeling studies showed that approximately 15% of candidates would be supported for ≥8 days, leading to the decision to allow reapproval for status 1 candidacy after application to the regional review board.
      OPTN/UNOS Thoracic Organ Transplantation Committee
      Proposal to modify the adult heart allocation system.
      As a result of these changes, candidates supported with ECMO have noticed a substantial decrease in waitlist time with an associated increase in survival to heart transplantation (HTx) and have, moreover, noticed an improvement in post-HTx survival.
      • Gonzalez M.H.
      • Acharya D.
      • Lee S.
      • Leacche M.
      • Boeve T.
      • Manandhar-Shrestha N.
      • et al.
      Improved survival after heart transplantation in patients bridged with extracorporeal membrane oxygenation in the new allocation system.
      ,
      • Nordan T.
      • Critsinelis A.C.
      • Mahrokhian S.H.
      • Kapur N.K.
      • Thayer K.L.
      • Chen F.Y.
      • et al.
      Bridging with extracorporeal membrane oxygenation under the new heart allocation system: a United Network for Organ Sharing Database analysis.
      Although this improvement is an undoubted step in the right direction, candidates listed at status 1 continue to show waitlist mortality at a substantially higher rate than others,
      • Goff R.R.
      • Uccellini K.
      • Lindblad K.
      • Hall S.
      • Davies R.
      • Farr M.
      • et al.
      A change of heart: preliminary results of the US 2018 adult heart allocation revision.
      reflecting the tenuous condition of patients supported with ECMO in addition to its significant complication burden.
      • Eckman P.M.
      • Katz J.N.
      • el Banayosy A.
      • Bohula E.A.
      • Sun B.
      • van Diepen S.
      Veno-arterial extracorporeal membrane oxygenation for cardiogenic shock: an introduction for the busy clinician.
      Previous studies of ECMO under the new allocation system have analyzed waitlist outcomes and post-HTx survival separately, without showing how undergoing HTx affects the postlisting survival course of a patient. In the present study, we aimed to evaluate 1) how waitlisting for ≥8 days affects postlisting survival, and 2) candidate characteristics associated with waitlist time ≥8 days.

      Methods

      Data Source

      The Scientific Registry of Transplant Recipients (SRTR) database was used in this analysis. The SRTR has prospectively collected data on all solid organ transplant candidates, recipients, and donors in the United States since October 1, 1987. Because the SRTR database is publicly available and deidentified, this study was deemed exempt from institutional review board review.

      Inclusion and Exclusion Criteria

      Adults (18 years of age or older) listed for a single-organ HTx between October 18, 2018, and March 31, 2021, supported with ECMO at the time of listing were identified. Candidates listed for a redo HTx or multiple organ transplant were excluded.

      Study Definitions

      Candidates were stratified according to waitlist time (≤7 vs ≥8 days) with comparison of characteristics at the time of listing. The cutoff of 1 week was chosen because candidates supported with ECMO must be reapproved by the regional review board every 7 days to remain at status 1.
      The primary end point was composed of death (either post-HTx or waitlist) or waitlist removal because of clinical deterioration, because nearly three-quarters of these patient die within 1 year of delisting.
      • Vanderpluym C.
      • Graham D.A.
      • Almond C.S.
      • Blume E.D.
      • Milliren C.E.
      • Singh T.P.
      Survival in patients removed from the heart transplant waiting list before receiving a transplant.
      Survival time from listing was calculated as the sum of waitlist time and post-HTx survival time; candidates who did not undergo HTx were assigned a post-HTx survival time of 0.

      Statistical Analysis

      Continuous variables are presented as median (interquartile range [IQR]) and categorical variables are presented as number (percent). After stratification according to waitlist time, baseline demographic characteristics were compared using the Wilcoxon rank sum test for continuous variables and the χ2 test or Fisher exact test for categorical variables. The Kaplan–Meier method and log rank tests were used to determine survival differences between groups. Candidates who did not experience the outcome of interest were censored at 90 days postlisting. Variables included in logistic regression and Cox proportional hazards models were selected on the basis of clinical and/or biological relevance. Additionally, collinearity was examined in all models using the variance inflation factor. Results of multivariable analyses are presented as hazard ratio (HR) or odds ratio (OR), where appropriate, with accompanying 95% CI. These analyses included the following:
      • I)
        Cox proportional hazards models to examine 90-day postlisting survival conditional on survival to 8 days postlisting, which was performed to determine difference in postlisting outcomes between those who were alive at this point after HTx versus those who were alive at this point on the waitlist;
      • II)
        Logistic regression to determine risk factors associated with waitlist time ≥8 days; and
      • III)
        A subanalysis of post-HTx survival using Cox proportional hazards models to determine 1) whether differences in postlisting survival were chiefly because of post-HTx or waitlist demise, and 2) if HTx remains a viable exit strategy for candidates waitlisted ≥8 days.
      In analysis I, a landmarked analysis was performed to avoid immortal time bias, because, by definition, anyone who survives to ≥8 days of waitlisting has survived the first 7 days. We additionally examined characteristics of candidates who underwent HTx versus died or deteriorated on the waitlist if listed for ≥8 days. All analyses were repeated among candidates listed at status 1 to determine the robustness of observed results. Stata version 17 (StataCorp) was used for all analyses.

      Results

      Overall Trends

      A total of 246 candidates were included with a median waitlist time of 4 days (IQR, 2-9 days; Figure 1, A); patients listed as status 1 (n = 210) had a median waitlist time of 4 days (IQR, 2-7 days; Figure 1, B). In 2018, 4/11 (36.4%) candidates were waitlisted for ≥8 days compared with 11/30 (36.7%) in 2021 (P for trend = .46; Figure 2, A). Among status 1 candidates, 22.2% waited for ≥8 days in 2018 compared with 37.0% in 2021 (P for trend = .15; Figure 2, B).
      Figure thumbnail gr1
      Figure 1Histograms showing the distribution of waitlist time among (A) the entire cohort and (B) status 1 candidates. The vertical dashed line represents 7 days.
      Figure thumbnail gr2
      Figure 2Bar charts showing the percentage of candidates who waited for ≥8 days (A) cohortwide and (B) when listed at status 1 according to year of listing.

      Baseline Characteristics

      Cohorts showed a similar distributions of age, sex, and body mass index (BMI). Candidates who waited for ≥8 days were more likely to be blood type O (56.3% vs 34.9%; P < .01) and have elevated creatinine (35.2% vs 22.3%; P = .04) whereas they were less likely to be concurrently supported by intra-aortic balloon pump (IABP; 7.0% vs 20.0%; P = .01) or listed at status 1 (67.6% vs 92.6%; P < .01; Table 1). Similar trends were observed among status 1 candidates, with significantly more blood type O (56.3% vs 36.4%; P < .01) and previous smokers (35.4% vs 21.0%; P = .04) among those waitlisted for ≥8 days with less with concurrent IABP support (6.4% vs 19.1%; P = .03; Table E1).
      Table 1Candidate characteristics
      ≤7 Days (n = 175)≥8 Days (n = 71)P value
      Age, y53 (39-60)51 (32-60).42
      Female sex46 (26.3)22 (31.0).46
      BMI27.3 (24.2-31.6)28.0 (24.6-33.5).39
      Blood type O61 (34.9)40 (56.3)<.01
      Ethnicity.43
       White123 (70.3)44 (62.0)
       Black25 (14.3)12 (16.9)
       Other27 (15.4)15 (21.1)
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      .04
       Northeast57 (32.6)14 (19.7)
       Southeast45 (25.7)30 (42.3)
       Midwest40 (22.9)17 (23.9)
       West33 (18.9)10 (14.1)
      Private insurance103 (58.9)42 (59.2).97
      Heart failure etiology.57
       Nonischemic120 (68.6)46 (64.8)
       Ischemic55 (31.4)25 (35.2)
      Medical history
       Diabetes34 (19.5)18 (25.4).31
       CVA11 (6.4)6 (8.5).57
       ICD58 (33.1)26 (36.6).60
       Smoking40 (22.9)24 (33.8).08
       Previous cardiac surgery41 (23.4)19 (26.8).58
      Inotrope-dependent96 (54.9)36 (50.7).55
      Ventilator-dependent58 (33.1)18 (25.4).23
      Creatinine ≥1.5 mg/dL39 (22.3)25 (35.2).04
      Concurrent MCS
       IABP35 (20.0)5 (7.0).01
       Microaxial LVAD25 (14.3)8 (11.3).61
       Durable LVAD3 (1.7)3 (4.2).25
      Listing status<.01
       1162 (92.6)48 (67.6)
       29 (5.1)6 (8.5)
       31 (0.6)4 (5.6)
       404 (5.6)
       61 (0.6)5 (7.0)
       72 (1.1)4 (5.6)
      Continuous variables are presented as median (interquartile range) and categorical variables are presented as n (%).
      Statistical significant P-values were shown in bold.
      BMI, Body mass index; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      Multivariable logistic regression showed blood type O (OR, 2.94; 95% CI, 1.54-5.61) to be independently associated with increased likelihood of waitlist time ≥8 days; concurrent IABP support (OR, 0.30; 95% CI, 0.10-0.89) and status 1 listing (OR, 0.12; 95% CI, 0.05-0.30) were associated with decreased likelihood of waitlist time ≥8 days (Table 2). Among status 1 candidates, blood type O (OR, 2.15; 95% CI, 1.08-4.24) and obesity (OR, 2.04; 95% CI, 1.00-4.17) remained independently associated with prolonged waitlisting (Table E2).
      Table 2Risk factors for prolonged waitlist time (≥8 days)
      UnivariableMultivariable
      ORP valueORP value
      Age, y0.99 (0.97-1.01).350.98 (0.96-1.00).08
      Female sex1.26 (0.69-2.31).461.46 (0.73-2.92).28
      Obese1.45 (0.82-2.56).201.93 (0.99-3.74).052
      Blood type O2.41 (1.37-4.23)<.012.94 (1.54-5.61)<.01
      White ethnicity0.69 (0.39-1.23).21
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
       NortheastRef.Ref.
       Southeast2.71 (1.29-5.72)<.011.91 (0.82-4.42).13
       Midwest1.73 (0.77-3.91).191.64 (0.68-4.00).27
       West1.23 (0.49-3.09).651.16 (0.43-3.16).77
      Private insurance1.01 (0.58-1.77).97
      Ischemic HF etiology1.19 (0.66-2.12).57
      Medical history
       Diabetes1.40 (0.73-2.69).31
       CVA1.35 (0.48-3.81).57
       ICD1.17 (0.65-2.07).60
       Smoking1.72 (0.94-3.16).08
       Previous cardiac surgery1.19 (0.64-2.24).58
      Inotrope-dependent0.85 (0.49-1.47).55
      Ventilator-dependent0.69 (0.37-1.27).23
      Creatinine ≥1.5 mg/dL1.90 (1.04-3.46).04
      Concurrent MCS
       IABP0.30 (0.11-0.81).020.30 (0.10-0.89).03
       Microaxial LVAD0.80 (0.34-1.87).61
       Durable LVAD2.53 (0.50-12.8).55
      Listing at status 10.17 (0.08-0.36)<.010.12 (0.05-0.30)<.01
      Statistical significant P-values were shown in bold.
      OR, Odds ratio; HF, heart failure; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.

      Waitlist Outcomes and Postlisting Survival

      Among candidates waitlisted for ≥8 days, 57.8% ultimately received a transplant, whereas 29.6% died or deteriorated on the waitlist. However, 92.6% of candidates waitlisted ≤7 days received a transplant whereas only 7.4% died or deteriorated (P < .01; Figure 3, A). Of status 1 candidates waitlisted for ≤7 days 93.8% received a transplant whereas 6.2% died or deteriorated; 56.3% of those who waited for ≥8 days received a transplant and 29.2% died or deteriorated (P < .01; Figure 3, B). Overall, 9 (3.7%) candidates were removed because of recovery or other causes; all of these candidates were listed for ≥8 days. The percentage of candidates removed from the waitlist because of HTx was highest when listed for ≤4 days at 97.6% (Figure E1).
      Figure thumbnail gr3
      Figure 3Bar charts showing the percentage of candidates removed from the waitlist because of heart transplantation (HTx), death/deterioration, or other causes stratified according to waitlist time. A, The entire cohort, and (B) status 1 candidates only. χ2 P is < .01 in both graphs.
      Two of 162 (1.2%) candidates who received a transplant within 7 days of listing died shortly after HTx. Ninety-day postlisting survival was estimated to be 70.4% (95% CI, 58.3%-79.6%) if a candidate remained waitlisted at 8 days compared with 93.7% (95% CI, 88.7%-96.6%) if the candidate received a transplant (Figure 4, A). Multivariable Cox proportional hazards analysis showed an independent association between waitlisting ≥8 days and 90-day mortality (HR, 5.59; 95% CI, 2.59-12.1; Table 3). These results were replicated on analysis of status 1 candidates alone (HR, 5.49; 95% CI, 2.39-12.6; Table E3; Figure 4, B).
      Figure thumbnail gr4
      Figure 4Kaplan–Meier curves showing a significant decrease in postlisting survival among candidates who waited for ≥8 days versus ≤7 days. A, The entire cohort, and (B) status 1 candidates only. CI, Confidence intervals.
      Table 3Relationship between waitlist ≥8 days and postlisting death or deterioration, landmarked at 8 days
      UnivariableMultivariable
      HR (95% CI)P valueHR (95% CI)P value
      Waitlist ≥8 d5.47 (2.58-11.6)<.015.59 (2.59-12.1)<.01
      Age, y1.04 (1.01-1.07).011.04 (1.01-1.08)<.01
      Female gender1.45 (0.69-3.02).33
      Obese2.32 (1.14-4.70).021.83 (0.90-3.74).10
      Blood type O2.29 (1.11-4.72).03
      White ethnicity0.62 (0.30-1.28).20
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
       NortheastReferent
       Southeast2.55 (0.90-7.23).08
       Midwest2.14 (0.70-6.54).18
       West2.15 (0.66-7.04).21
      Private insurance0.68 (0.34-1.38).29
      Ischemic HF etiology2.19 (1.08-4.44).03
      Medical history
       Diabetes2.53 (1.21-5.29).01
       CVA3.09 (1.18-8.08).02
       ICD1.41 (0.69-2.89).34
       Smoking2.23 (1.09-4.56).03
       Previous cardiac surgery1.79 (0.86-3.73).12
      Inotrope-dependent0.83 (0.41-1.68).60
      Ventilator-dependent1.13 (0.53-2.41).741.18 (0.55-2.52).67
      Creatinine ≥1.5 mg/dL1.97 (0.95-4.05).071.33 (0.64-2.77).45
      Concurrent MCS
       IABP0.56 (0.17-1.83).34
       Microaxial LVAD1.78 (0.73-4.35).20
       Durable LVAD--
      Listing at status 10.67 (0.28-1.64).38
      Statistical significant P-values were shown in bold.
      HR, Hazard ratio; CI, confidence intervals; HF, heart failure; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.

      Recipient Characteristics

      Forty-one recipients underwent HTx after listing for ≥8 days compared with 162 at ≤7 days. Recipients who received a transplant at ≥8 days were younger (44 vs 53 years; P = .04) and less likely to be supported with ECMO at HTx (63.4% vs 95.7%; P < .01) or mechanically ventilated (7.35% vs 29.0%; P < .01) whereas more often blood type O (53.7% vs 35.2%; P = .03) and more likely to be supported with durable left ventricular assist device (LVAD; 12.2% vs 0.6%; P < .01; Table E4). Donors were similarly likely to be blood type O and otherwise showed similar characteristics. There were no significant differences in ischemic time or distance from recipient to donor. At 90 days post-HTx, 92.0% of recipients listed for ≤7 days were alive compared with 92.7% if listed for ≥8 days (log rank P = .87; Figure E2, A).
      Among those listed at status 1, those who underwent HTx at ≥8 days of listing were younger (39 vs 53 years; P = .04) and less likely to be mechanically ventilated (7.4% vs 29.6%; P = .02) or supported with ECMO (70.4% vs 96.7%; P < .01) but more likely to be supported with durable LVAD (7.4% vs 0%; P = .02) at the time of transplantation (Table E5). There was no significant difference in donor or operative characteristics. For patients listed as status 1, 90-day post-HTx survival was 92.6% among those who waited for ≥8 days compared with 91.4% among those who waited for ≤7 days (log rank P = .83; Figure E2, B).
      Compared with candidates who were waitlisted for ≥8 days and underwent HTx, those who died or deteriorated were older (58 vs 44 years; P < .01) and showed greater atherosclerotic burden, indicted by a greater prevalence of ischemic heart disease (57.1% vs 19.5%; P < .01), diabetes (47.6% vs 17.1%; P = .01), and cerebrovascular accident (23.8% vs 2.4%; P = .01; Table E6). Among those listed at status 1, a larger proportion of those who died showed ischemic heart failure etiology (57.1% vs 25.9%; P = .049). The study design and findings are represented in Figure 5.
      Figure thumbnail gr5
      Figure 5A summary of the study's methodology, findings, and implications. ECMO, Extracorporeal membrane oxygenation; SRTR, Scientific Registry of Transplant Recipients; CI, confidence intervals; HTx, heart transplant; HR, hazard ratio.

      Discussion

      In the present study we examined the relationship between prolonged waitlist time and postlisting survival and had 4 key findings. First, waitlist time >1 week while listed with ECMO support was independently associated with worse postlisting survival. Second, blood type O, a nonmodifiable risk factor, was associated with prolonged waitlist time. Third, waitlist time >1 week did not compromise the efficacy of HTx as an exit strategy. Fourth, after being waitlisted for >1 week, candidates who then die or deteriorate showed characteristics associated with acquired heart disease. Moreover, the relationship between waitlist time and postlisting survival remained present on examination of status 1 candidates alone. Taken together, these data suggest that undergoing prompt HTx is of high importance in candidates listed with ECMO support, although young candidates without a large chronic disease burden who are clinically stable can be maintained on the waitlist if they cannot receive a transplant within the first week.
      Using previous allocation systems, it has been noted that inability to acquire a suitable heart for transplantation among ECMO-supported candidates in a timely fashion is associated with poor postlisting survival.
      • Ivey-Miranda J.B.
      • Maulion C.
      • Farrero-Torres M.
      • Griffin M.
      • Posada-Martinez E.L.
      • Testani J.M.
      • et al.
      Risk stratification of patients listed for heart transplantation while supported with extracorporeal membrane oxygenation.
      Ivey-Miranda and colleagues
      • Ivey-Miranda J.B.
      • Maulion C.
      • Farrero-Torres M.
      • Griffin M.
      • Posada-Martinez E.L.
      • Testani J.M.
      • et al.
      Risk stratification of patients listed for heart transplantation while supported with extracorporeal membrane oxygenation.
      analyzed 712 candidates supported with ECMO and showed postlisting survival at 1 year to be 22.5% if the candidate did not undergo HTx compared with 73.4% if they did. In this same analysis, it was shown that longer time on the waitlist is associated with worse post-HTx survival on the order of a 2% increase per day waitlisted. Despite higher rates of post-HTx mortality among ECMO-supported recipeints,
      • Fukuhara S.
      • Takeda K.
      • Kurlansky P.A.
      • Naka Y.
      • Takayama H.
      Extracorporeal membrane oxygenation as a direct bridge to heart transplantation in adults.
      Singh and colleagues
      • Singh T.P.
      • Milliren C.E.
      • Almond C.S.
      • Graham D.
      Survival benefit from transplantation in patients listed for heart transplantation in the United States.
      showed that the survival benefit gained from HTx compared with continued waitlisting increases among sicker candidates. In the present analysis, we were unable to detect a significant difference in post-HTx mortality among recipients with a prolonged waitlist time, with excellent post-HTx survival among those listed for ≤7 days (92.0%) and those listed for ≥8 days (92.7%). When interpreting this information, there is a caveat, however, in that selection bias might be present in considering candidates who survived to HTx after listing for ≥8 days. When examining the clinical characteristics of this population compared with those listed for ≤7 days, we noticed these candidates were less likely to be ECMO-dependent at the time of HTx and more likely to be durable LVAD-dependent, leading one to consider the role of durable LVAD as a feasible bridge from ECMO to HTx.
      In a recent analysis of combined SRTR and Interagency Registry for Mechanically Assisted Circulatory Support databases, DeFilippis and colleagues
      • DeFilippis E.M.
      • Clerkin K.
      • Truby L.K.
      • Francke M.
      • Fried J.
      • Masoumi A.
      • et al.
      ECMO as a bridge to left ventricular assist device or heart transplantation.
      investigated survival among candidates bridged with ECMO to LVAD versus HTx. They showed post-ECMO to HTx survival of 70.7% at 1 year, 66.6% at 2 years, and 61.8% at 5 years compared with 69.2%, 62.6%, and 56.5% at 1, 2, and 5 years, respectively, among those bridged to LVAD. However, this analysis did not separate post-HTx outcomes according to allocation system. Published data demonstrate post-HTx survival rates of approximately 90% in those bridged directly to HTx and might thus obfuscate this equivalency in the current era.
      • Gonzalez M.H.
      • Acharya D.
      • Lee S.
      • Leacche M.
      • Boeve T.
      • Manandhar-Shrestha N.
      • et al.
      Improved survival after heart transplantation in patients bridged with extracorporeal membrane oxygenation in the new allocation system.
      ,
      • Nordan T.
      • Critsinelis A.C.
      • Mahrokhian S.H.
      • Kapur N.K.
      • Thayer K.L.
      • Chen F.Y.
      • et al.
      Bridging with extracorporeal membrane oxygenation under the new heart allocation system: a United Network for Organ Sharing Database analysis.
      From this information, the question does then arise of whether temporary support candidates are currently transplanted too fast without consideration of transition to durable support. In a recent analysis of the SRTR database, Topkara and colleagues
      • Topkara V.K.
      • Sayer G.T.
      • Clerkin K.J.
      • Wever-Pinzon O.
      • Takeda K.
      • Takayama H.
      • et al.
      Recovery with temporary mechanical circulatory support while waitlisted for heart transplantation.
      showed a significant decrease in rate of waitlist recovery using the new system in this population, suggesting an inadequate period for improvement while receiving temporary support. It appears that candidates listed with durable LVAD also have shorter waitlist time using the current allocation system, although their post-HTx outcomes might be suffering.
      • Nordan T.
      • Critsinelis A.C.
      • Ortoleva J.
      • Kiernan M.S.
      • Vest A.
      • DeNofrio D.
      • et al.
      Durable left ventricular assist device as a bridge to heart transplantation under the new donor heart allocation system.
      Undoubtedly, further investigation is required in this area.
      Among the total cohort, we noticed blood type O to be independently associated with prolonged waitlist time, whereas obesity emerged as an additional predictor among those listed at status 1. Regarding blood type, it has been recognized that type O candidates have longer waitlist time, at least in part because of the biology of donor organs they can accept.
      • Ando M.
      • Takeda K.
      • Kurlansky P.A.
      • Garan A.R.
      • Topkara V.K.
      • Yuzefpolskaya M.
      • et al.
      Association between recipient blood type and heart transplantation outcomes in the United States.
      This phenomenon is intriguing when considering the population restricted to status 1 candidates, as per United Network for Organ Sharing donor heart allocation policies, type O hearts are first offered to status 1 candidates of a primary blood type match within 500 nautical miles.
      OPTN
      OPTN policies effective as of April 11, 2022 [COVID19].
      Interestingly, there was no difference in the proportion of type O donors among those who received a transplant within 7 days versus ≥8 days without a notable difference in donor quality, although a larger proportion of candidates who received a transplant ≥8 days were blood type O. This likely indicates that several type O donor hearts were passed on by type O candidates. First, this could represent a subconscious bias in which type O candidates supported with ECMO tend to be listed earlier in their cardiogenic shock process because of known difficulties obtaining HTx in this population.
      • Ando M.
      • Takeda K.
      • Kurlansky P.A.
      • Garan A.R.
      • Topkara V.K.
      • Yuzefpolskaya M.
      • et al.
      Association between recipient blood type and heart transplantation outcomes in the United States.
      ,
      • Goldstein B.A.
      • Thomas L.
      • Zaroff J.G.
      • Nguyen J.
      • Menza R.
      • Khush K.K.
      Assessment of heart transplant waitlist time and pre- and post-transplant failure: a mixed methods approach.
      This might also be reflective of true differences in pathophysiology, because type O candidates are less likely to be afflicted by ischemic heart disease.
      • He M.
      • Wolpin B.
      • Rexrode K.
      • Manson J.E.
      • Rimm E.
      • Hu F.B.
      • et al.
      ABO blood group and risk of coronary heart disease in two prospective cohort studies.
      Although listed for HTx, transplant teams might opt to monitor the patient's status closely while still having the option of urgent HTx if needed as opposed to waiting for failure to recover and then listing. Regarding concurrent IABP use, Nishi and colleagues
      • Nishi T.
      • Ishii M.
      • Tsujita K.
      • Okamoto H.
      • Koto S.
      • Nakai M.
      • et al.
      Outcomes of venoarterial extracorporeal membrane oxygenation plus intra-aortic balloon pumping for treatment of acute myocardial infarction complicated by cardiogenic shock.
      recently examined concurrent IABP use in ECMO in a large Japanese national database and showed significant decreases in post-ECMO mortality. They reported significantly higher rates of concurrent IABP use in large-scale teaching institutions, although in the United States, data documenting the correlation between center volume and advanced ECMO management strategies are sparse.
      We additionally noticed an association between obesity and prolonged waitlist time among candidates listed at status 1. In a recently published study, Chouairi and colleagues
      • Chouairi F.
      • Milner A.
      • Sen S.
      • Guha A.
      • Stewart J.
      • Jastreboff A.M.
      • et al.
      Impact of obesity on heart transplantation outcomes.
      examined the relationship between obesity and HTx outcomes. In this analysis, they showed a dose-dependent decrease in the hazard of undergoing HTx as BMI increased, from 0.83 (95% CI, 0.81-0.85) among those with BMI from 25 to 29.9 to 0.42 (95% CI, 0.36-0.49) among those with a BMI from 40 to 55. This likely represents difficulty in procuring organs of appropriate size match, because donor BMI was noted to be a mean of 26.9 in 2020. In our analysis, mean donor BMI was 28.2, which points toward difficulty obtaining hearts from adequately sized donors as the likely etiology of the increased waitlist time.
      This study has several limitations inherent to its design. First, the study was retrospective in nature. Second, although the United Network for Organ Sharing database contains >500 variables, data are collected primarily at the time of listing and HTx, without update during listing. It has been shown that a candidate's risk can change rapidly.
      • Blackstone E.H.
      • Rajeswaran J.
      • Cruz V.B.
      • Hsich E.M.
      • Koprivanac M.
      • Smedira N.G.
      • et al.
      Continuously updated estimation of heart transplant waitlist mortality.
      Moreover, important variables that might be indicative of a patient's physiologic status, such as lactate, are not available. Third, the database does not contain granular information surrounding the reason to delist a candidate for other reasons or continue additional support, such as IABP, in those listed for a prolonged period, thus limiting conclusions regarding candidates listed for ≥8 days. Additionally, it should be noted that ECMO is primarily a therapy for those in biventricular failure as opposed to left heart failure, and the decision to pursue ECMO in these patients is highly individualized. Fourth, because the timepoints at which data are collected, we were unable to assess the situation surrounding the escalation to ECMO support, such as patients who begin ECMO support in the setting of cardiopulmonary arrest. Fifth, non-status 1 candidates were included to represent the entirety of the candidate pool, with analyses then restricted to status 1 candidates, because of the sample size of the current analysis.

      Conclusions

      Although candidates supported with ECMO are listed at status 1 in the new donor heart allocation system, a substantial portion are waitlisted for ≥8 days. Those who do not undergo HTx within the first week after listing are at increased risk of subsequent waitlist demise but show adequate post-HTx survival. Further investigation into optimal bridging strategies of candidates who cannot immediately undergo HTx is warranted.

      Webcast

      You can watch a Webcast of this AATS meeting presentation by going to: https://www.aats.org/resources/1329.
      Figure thumbnail fx3

      Conflict of Interest Statement

      The authors reported no conflicts of interest.
      The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest.

      Appendix E1

      Table E1Candidate characteristics, status 1 only
      ≤7 Days (n = 162)≥8 Days (n = 48)P value
      Age, y53 (38-60)49 (32-58).18
      Female sex44 (27.2)16 (33.3).41
      BMI27.4 (24.1-31.7)30.0 (24.5-33.3).15
      Blood type O59 (36.4)27 (56.3).01
      Ethnicity.74
       White117 (72.2)32 (66.7)
       Black21 (13.0)8 (16.7)
       Other24 (14.8)8 (16.7)
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      .12
       Northeast54 (33.3)10 (20.8)
       Southeast40 (24.7)17 (35.4)
       Midwest36 (22.2)15 (31.3)
       West32 (19.8)6 (12.5)
      Private insurance100 (61.7)33 (68.8).38
      Heart failure etiology.34
       Nonischemic110 (67.9)29 (60.4)
       Ischemic52 (32.1)18 (39.6)
      Medical history
       Diabetes31 (19.3)11 (22.9).58
       CVA10 (6.3)4 (8.3).62
       ICD53 (32.7)16 (33.3).94
       Smoking34 (21.0)17 (35.4).04
       Previous cardiac surgery37 (22.8)12 (25.0).76
      Inotrope-dependent89 (54.9)24 (50.0).55
      Ventilator-dependent55 (34.0)13 (27.1).37
      Creatinine ≥1.5 mg/dL33 (20.4)16 (33.3).06
      Concurrent MCS
       IABP31 (19.1)3 (6.3).03
       Microaxial LVAD25 (15.4)5 (10.4).44
       Durable LVAD1 (0.6)01.00
      Variables are presented as percent.
      Statistical significant P-values were shown in bold.
      BMI, Body mass index; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      Table E2Risk factors for prolonged waitlist time (≥8 days), status 1 only
      UnivariableMultivariable
      OR (95% CI)P valueOR (95% CI)P value
      Age, y0.98 (0.96-1.01).160.98 (0.95-0.999).049
      Female sex1.34 (0.67-2.68).411.51 (0.71-3.22).28
      Obese2.02 (1.05-3.89).042.04 (1.00-4.17).049
      Blood type O2.24 (1.17-4.32).022.42 (1.19-4.90).01
      White ethnicity0.77 (0.39-1.54).46
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
       NortheastReferentReferent
       Southeast2.29 (0.95-5.54).072.24 (0.87-5.75).09
       Midwest2.25 (0.91-5.56).082.01 (0.76-5.30).16
       West1.01 (0.34-3.05).980.98 (0.31-3.13).98
      Private insurance1.36 (0.69-2.71).38
      Ischemic HF etiology1.39 (0.71-2.70).34
      Medical history
       Diabetes1.25 (0.57-2.72).58
       CVA1.35 (0.41-4.53).62
       ICD1.03 (0.52-2.04).94
       Smoking2.06 (1.02-4.17).04
       Previous cardiac surgery1.13 (0.53-2.38).76
      Inotrope-dependent0.82 (0.43-1.56).55
      Ventilator-dependent0.72 (0.35-1.48).37
      Creatinine ≥1.5 mg/dL1.95 (0.96-3.98).07
      Concurrent MCS
       IABP0.28 (0.08-0.97).040.37 (0.10-1.32).13
       Microaxial LVAD0.65 (0.24-1.81).41
       Durable LVAD
      Statistical significant P-values were shown in bold.
      OR, Odds ratio; CI, confidence intervals; HF, heart failure; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      Table E3Relationship between waitlist ≥8 days and postlisting death or deterioration, landmarked at 8 days, status 1 only
      UnivariableMultivariable
      HR (95% CI)P valueHR (95% CI)P value
      Waitlist ≥8 d5.48 (2.46-12.2)<.015.49 (2.39-12.6)<.01
      Age, y1.03 (0.99-1.06).071.04 (1.01-1.07).02
      Female sex1.15 (0.50-2.66).75
      Obese3.34 (1.48-7.57)<.012.41 (1.05-5.52).04
      Blood type O2.19 (0.99-4.88).054
      White ethnicity0.50 (0.22-1.10).09
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
       NortheastReferent
       Southeast3.68 (1.17-11.6).03
       Midwest1.95 (0.55-6.93).30
       West1.79 (0.45-7.15).41
      Private insurance0.67 (0.30-1.47).32
      Ischemic HF etiology1.71 (0.78-3.77).18
      Medical history
       Diabetes2.31 (0.998-5.36).051
       CVA3.34 (1.14-9.77).03
       ICD1.37 (0.62-3.06).44
       Smoking2.15 (0.97-4.80).06
       Previous cardiac surgery1.89 (0.84-4.28).14
      Inotrope-dependent0.69 (0.32-1.53).37
      Ventilator-dependent1.28 (0.56-2.89).561.44 (0.63-3.27).39
      Creatinine ≥1.5 mg/dL2.47 (1.11-5.50).031.69 (0.75-3.81).21
      Concurrent MCS
       IABP0.44 (0.10-1.87).27
       Microaxial LVAD1.72 (0.65-4.59).28
       Durable LVAD
      Statistical significant P-values were shown in bold.
      HR, Hazard ratio; CI, confidence intervals; HF, heart failure; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      Table E4Characteristics of HTx recipients and donors, and operative characteristics stratified according to waitlist time
      ≤7 Days (n = 162)≥8 Days (n = 41)P value
      Recipient
       Age, y53 (38-60)44 (31-57).04
       Female sex44 (27.2)10 (24.4).72
       BMI27.3 (24.2-31.0)27.3 (22.3-31.3).56
       Blood type O57 (35.2)22 (53.7).03
       Ethnicity.17
      White119 (73.5)24 (58.5)
      Black21 (13.0)8 (19.5)
      Other22 (13.6)9 (22.0)
       Medical history
      Diabetes27 (16.7)7 (17.1).96
      Smoking36 (22.2)12 (29.3).34
      CVA10 (6.3)1 (2.4).47
       Region.12
      Northeast54 (33.3)10 (24.4)
      Southeast39 (24.1)16 (39.0)
      Midwest36 (22.2)11 (26.8)
      West33 (20.4)4 (9.8)
       Private insurance102 (63.0)25 (61.0).81
       Ischemic HF etiology48 (29.6)8 (19.5).20
       MCS at time of HTx
      IABP32 (19.8)6 (14.6).45
      ECMO155 (95.7)26 (63.4)<.01
      Durable LVAD1 (0.6)5 (12.2)<.01
      Microaxial LVAD24 (14.8)6 (14.6).98
       Creatinine ≥1.5 mg/dL35 (21.6)10 (24.4).70
       Inotrope-dependent85 (52.5)21 (51.2).89
       Ventilator-dependent47 (29.0)3 (7.3)<.01
       HTx status<.01
      1159 (98.2)32 (78.1)
      23 (1.9)6 (14.6)
      303 (7.3)
      400
      600
      Donor
       Age, y32 (25-39)29 (21-38).12
       Female sex29 (17.9)9 (22.0).55
       Blood type O112 (69.1)27 (65.9).69
       BMI26.6 (23.5-31.2)26.8 (24.6-32.2).56
       Ethnicity.85
      White107 (66.1)29 (70.7)
      Black27 (16.7)6 (14.6)
      Other28 (17.3)6 (14.6)
       Medical history
      Smoking18 (11.3)1 (2.4).09
      Hypertension21 (13.0)7 (17.1).51
      Cocaine use45 (28.0)9 (23.1).54
      Alcohol use32 (20.0)13 (32.5).09
      HCV-positive14 (8.6)2 (2.4).18
      CMV-positive85 (52.5)22 (53.7).89
       Trauma COD73 (45.1)21 (51.2).48
       Creatinine ≥1.5 mg/dL49 (30.3)17 (41.5).17
       LVEF, %60 (56-65)60 (60-65).43
      Operative characteristics
       Ischemic time ≥4 h36 (22.4)8 (19.5).69
       Distance, nautical miles256 (91-414)302 (138-416).32
      Continuous variables are presented as median (interquartile range) and categorical variables are presented as n (%).
      Statistical significant P-values were shown in bold.
      BMI, Body mass index; CVA, cerebrovascular accident; HF, heart failure; MCS, mechanical circulatory support; HTx, heart transplant; IABP, intra-aortic balloon pump; ECMO, extracorporeal membrane oxygenation; LVAD, left ventricular assist device; HCV, hepatitis C virus; CMV, cytomegalovirus; COD, cause of death; LVEF, left ventricular ejection fraction.
      Table E5Characteristics of HTx recipients and donors, and operative characteristics stratified according to waitlist time, status 1 listing only
      ≤7 d (n = 152)≥8 d (n = 27)P value
      Recipient
       Age, y53 (38-60)39 (28-56).04
       Female sex43 (28.3)8 (29.6).89
       BMI27.3 (24.2-30.7)28.0 (20.5-31.3).74
       Blood type O55 (36.2)14 (51.9).12
       Ethnicity.41
      White114 (75.0)17 (63.0)
      Black17 (11.2)5 (18.5)
      Other21 (13.8)5 (18.5)
       Medical history
      Diabetes25 (16.6)5 (18.5).80
      Smoking32 (21.1)8 (29.6).32
      CVA9 (6.0)1 (3.7).63
       Region.14
      Northeast52 (34.2)8 (29.6)
      Southeast34 (22.4)6 (22.2)
      Midwest34 (22.4)11 (40.7)
      West32 (21.1)2 (7.4)
       Private insurance96 (63.2)21 (77.8).14
       Ischemic HF etiology46 (30.3)7 (25.9).65
       MCS at time of HTx
      IABP31 (20.4)5 (18.5).82
      ECMO147 (96.7)19 (70.4)<.01
      Durable LVAD02 (7.4).02
      Microaxial LVAD22 (14.5)2 (7.4).32
       Creatinine ≥1.5 mg/dL30 (19.7)7 (25.9).46
       Inotrope-dependent80 (52.6)15 (55.6).78
       Ventilator-dependent45 (29.6)2 (7.4).02
       HTx status<.01
      1152 (100)24 (88.9)
      202 (7.1)
      301 (3.7)
      400
      600
      Donor
       Age, y32 (26-38)31 (19-38).25
       Female sex28 (18.4)9 (33.3).08
       Blood type O108 (71.1)18 (66.7).65
       BMI26.7 (23.5-31.3)28.2 (23.8-34.6).62
       Ethnicity.92
      White100 (65.8)18 (66.7)
      Black25 (16.5)5 (18.5)
      Other27 (17.8)4 (14.8)
       Medical history
      Smoking18 (12.0)1 (3.7).20
      Hypertension19 (12.6)6 (22.2).18
      Cocaine use43 (28.5)6 (24.0).64
      Alcohol use30 (20.0)7 (25.9).49
      HCV-positive14 (9.2)1 (3.7).34
      CMV-positive79 (52.0)15 (55.6).73
       Trauma COD65 (42.8)16 (59.3).11
       Creatinine ≥1.5 mg/dL47 (30.9)11 (40.7).32
       LVEF, %60 (57-65)60 (60-65).92
      Operative characteristics
       Ischemic time ≥4 h32 (21.1)5 (18.5).76
       Distance, nautical miles251 (95-412)302 (138-447).24
      Continuous variables are presented as median (interquartile range) and categorical variables are presented as n (%).
      Statistical significant P-values were shown in bold.
      BMI, Body mass index; CVA, cerebrovascular accident; HF, heart failure; MCS, mechanical circulatory support; HTx, heart transplant; IABP, intra-aortic balloon pump; ECMO, extracorporeal membrane oxygenation; LVAD, left ventricular assist device; HCV, hepatitis C virus; CMV, cytomegalovirus; COD, cause of death; LVEF, left ventricular ejection fraction.
      Table E6Demographic characteristics of candidates waitlisted ≥8 days stratified according to waitlist outcome
      HTx (n = 41)Death/deterioration (n = 21)P value
      Age, y44 (31-57)58 (49-64)<.01
      Female sex10 (24.4)8 (38.1).26
      BMI27.2 (22.9-32.8)28.6 (25.8-32.3).34
      Blood type O22 (53.7)14 (66.7).33
      Ethnicity.88
       White24 (58.5)13 (61.9)
       Black8 (19.5)3 (14.3)
       Other9 (22.0)5 (23.8)
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      .38
       Northeast10 (24.3)4 (19.1)
       Southeast16 (39.0)9 (42.9)
       Midwest11 (26.8)3 (14.3)
       West4 (9.8)5 (23.8)
      Private insurance26 (63.4)10 (47.6).23
      Heart failure etiology<.01
       Nonischemic33 (80.5)9 (42.9)
       Ischemic8 (19.5)12 (57.1)
      Medical history
       Diabetes7 (17.1)10 (47.6).01
       CVA1 (2.4)5 (23.8).01
       ICD16 (39.0)8 (38.1).94
       Smoking12 (29.3)8 (38.1).48
       Previous cardiac surgery9 (22.0)7 (33.3).33
      Inotrope-dependent21 (51.2)12 (57.1).66
      Ventilator-dependent9 (22.0)6 (28.6).57
      Creatinine ≥1.5 mg/dL14 (34.2)9 (42.9).50
      Concurrent MCS
       IABP3 (7.3)2 (9.5).76
       Microaxial LVAD3 (7.3)4 (19.1).17
       Durable LVAD3 (7.3)0.20
      Listing status.97
       127 (65.9)14 (66.7)
       23 (7.3)2 (9.5)
       33 (7.3)1 (4.8)
       42 (4.8)2 (9.5)
       63 (7.3)1 (4.8)
       73 (7.3)1 (4.8)
      Statistical significant P-values were shown in bold.
      HTx, Heart transplant; BMI, body mass index; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      Table E7Demographic characteristics of candidates waitlisted ≥8 days stratified according to waitlist outcome, status 1 only
      HTx (n = 27)Death/deterioration (n = 14)P value
      Age, y39 (28-56)54 (39-63).18
      Female sex8 (29.6)5 (35.7).69
      BMI28.0 (21.1-32.8)30 (26.7-33.5).15
      Blood type O14 (51.9)9 (64.3).45
      Ethnicity.93
       White17 (63.0)9 (64.3)
       Black5 (18.5)2 (14.3)
       Other5 (18.5)3 (21.4)
      Region
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      .03
       Northeast8 (29.6)2 (14.3)
       Southeast6 (22.2)8 (57.1)
       Midwest11 (40.7)1 (7.1)
       West2 (7.4)3 (21.4)
      Private insurance21 (77.8)8 (57.1).17
      Heart failure etiology
       Nonischemic20 (74.1)6 (42.9).049
       Ischemic7 (25.9)8 (57.1)
      Medical history
       Diabetes5 (18.5)6 (42.9).10
       CVA1 (3.7)3 (21.4).07
       ICD10 (37.0)5 (35.7).93
       Smoking8 (29.6)5 (35.7).69
       Previous cardiac surgery5 (18.5)5 (35.7).22
      Inotrope-dependent14 (51.9)8 (57.1).75
      Ventilator-dependent6 (22.2)5 (35.7).36
      Creatinine ≥1.5 mg/dL8 (29.6)6 (42.9).40
      Concurrent MCS
       IABP2 (7.4)1 (7.1).98
       Microaxial LVAD2 (7.4)3 (21.4).19
       Durable LVAD00
      Statistical significant P-values were shown in bold.
      HTx, Heart transplant; BMI, body mass index; CVA, cerebrovascular accident; ICD, implantable cardioverter-defibrillator; MCS, mechanical circulatory support; IABP, intra-aortic balloon pump; LVAD, left ventricular assist device.
      Northeast: UNOS regions 1, 2, and 9; Southeast: UNOS regions 3, 4, and 11; Midwest: UNOS regions 7, 8, and 10; and West: UNOS regions 5 and 6.
      Figure thumbnail fx4
      Figure E1Bar charts showing reasons for waitlist removal as days on the waitlist increase. A, One versus ≥2 days; (B) ≤2 versus ≥3 days; (C) ≤3 versus ≥4 days; (D) ≤4 versus ≥5 days; (E) ≤5 versus ≥6 days; and (F) ≤6 versus ≥7 days. HTx, Heart transplantation.
      Figure thumbnail fx5
      Figure E2Kaplan–Meier curves showing post-HTx survival stratified according to listing time (A) cohortwide (adjusted HR, 1.13; 95% CI, 0.32-4.05) and (B) among candidates listed at status 1 (adjusted HR, 1.08; 95% CI, 0.24-4.87). CI, Confidence intervals.

      References

        • OPTN/UNOS Thoracic Organ Transplantation Committee
        Proposal to modify the adult heart allocation system.
        • Wever-Pinzon O.
        • Drakos S.G.
        • Kfoury A.G.
        • Nativi J.N.
        • Gilbert E.M.
        • Everitt M.
        • et al.
        Morbidity and mortality in heart transplant candidates supported with mechanical circulatory support is reappraisal of the current United Network for Organ Sharing thoracic organ allocation policy justified?.
        Circulation. 2013; 127: 452-462https://doi.org/10.1161/CIRCULATIONAHA.112.100123
        • Gonzalez M.H.
        • Acharya D.
        • Lee S.
        • Leacche M.
        • Boeve T.
        • Manandhar-Shrestha N.
        • et al.
        Improved survival after heart transplantation in patients bridged with extracorporeal membrane oxygenation in the new allocation system.
        J Heart Lung Transplant. 2021; 40: 149-157https://doi.org/10.1016/J.HEALUN.2020.11.004
        • Nordan T.
        • Critsinelis A.C.
        • Mahrokhian S.H.
        • Kapur N.K.
        • Thayer K.L.
        • Chen F.Y.
        • et al.
        Bridging with extracorporeal membrane oxygenation under the new heart allocation system: a United Network for Organ Sharing Database analysis.
        Circ Heart Fail. 2021; 14: e007966https://doi.org/10.1161/CIRCHEARTFAILURE.120.007966
        • Goff R.R.
        • Uccellini K.
        • Lindblad K.
        • Hall S.
        • Davies R.
        • Farr M.
        • et al.
        A change of heart: preliminary results of the US 2018 adult heart allocation revision.
        Am J Transplant. 2020; 20: 2781-2790https://doi.org/10.1111/AJT.16010
        • Eckman P.M.
        • Katz J.N.
        • el Banayosy A.
        • Bohula E.A.
        • Sun B.
        • van Diepen S.
        Veno-arterial extracorporeal membrane oxygenation for cardiogenic shock: an introduction for the busy clinician.
        Circulation. 2019; 140: 2019-2037https://doi.org/10.1161/CIRCULATIONAHA.119.034512
        • Vanderpluym C.
        • Graham D.A.
        • Almond C.S.
        • Blume E.D.
        • Milliren C.E.
        • Singh T.P.
        Survival in patients removed from the heart transplant waiting list before receiving a transplant.
        J Heart Lung Transplant. 2014; 33: 261-269https://doi.org/10.1016/J.HEALUN.2013.12.010
        • Ivey-Miranda J.B.
        • Maulion C.
        • Farrero-Torres M.
        • Griffin M.
        • Posada-Martinez E.L.
        • Testani J.M.
        • et al.
        Risk stratification of patients listed for heart transplantation while supported with extracorporeal membrane oxygenation.
        J Thorac Cardiovasc Surg. Published online May 29, 2021; ([Epub ahead of print]. https://doi.org/10.1016/J.JTCVS.2021.05.032)
        • Fukuhara S.
        • Takeda K.
        • Kurlansky P.A.
        • Naka Y.
        • Takayama H.
        Extracorporeal membrane oxygenation as a direct bridge to heart transplantation in adults.
        J Thorac Cardiovasc Surg. 2018; 155: 1607-1618.e6https://doi.org/10.1016/j.jtcvs.2017.10.152
        • Singh T.P.
        • Milliren C.E.
        • Almond C.S.
        • Graham D.
        Survival benefit from transplantation in patients listed for heart transplantation in the United States.
        J Am Coll Cardiol. 2014; 63: 1169-1178https://doi.org/10.1016/J.JACC.2013.11.045
        • DeFilippis E.M.
        • Clerkin K.
        • Truby L.K.
        • Francke M.
        • Fried J.
        • Masoumi A.
        • et al.
        ECMO as a bridge to left ventricular assist device or heart transplantation.
        JACC Heart Fail. 2021; 9: 281-289https://doi.org/10.1016/J.JCHF.2020.12.012
        • Topkara V.K.
        • Sayer G.T.
        • Clerkin K.J.
        • Wever-Pinzon O.
        • Takeda K.
        • Takayama H.
        • et al.
        Recovery with temporary mechanical circulatory support while waitlisted for heart transplantation.
        J Am Coll Cardiol. 2022; 79: 900-913https://doi.org/10.1016/j.jacc.2021.12.022
        • Nordan T.
        • Critsinelis A.C.
        • Ortoleva J.
        • Kiernan M.S.
        • Vest A.
        • DeNofrio D.
        • et al.
        Durable left ventricular assist device as a bridge to heart transplantation under the new donor heart allocation system.
        ASAIO J. 2022; 68: 890-898https://doi.org/10.1097/MAT.0000000000001599
        • Ando M.
        • Takeda K.
        • Kurlansky P.A.
        • Garan A.R.
        • Topkara V.K.
        • Yuzefpolskaya M.
        • et al.
        Association between recipient blood type and heart transplantation outcomes in the United States.
        J Heart Lung Transplant. 2020; 39: 363-370https://doi.org/10.1016/J.HEALUN.2019.12.006
        • OPTN
        OPTN policies effective as of April 11, 2022 [COVID19].
        • Goldstein B.A.
        • Thomas L.
        • Zaroff J.G.
        • Nguyen J.
        • Menza R.
        • Khush K.K.
        Assessment of heart transplant waitlist time and pre- and post-transplant failure: a mixed methods approach.
        Epidemiology. 2016; 27: 469-476https://doi.org/10.1097/EDE.0000000000000472
        • He M.
        • Wolpin B.
        • Rexrode K.
        • Manson J.E.
        • Rimm E.
        • Hu F.B.
        • et al.
        ABO blood group and risk of coronary heart disease in two prospective cohort studies.
        Arterioscler Thromb Vasc Biol. 2012; 32: 2314-2320https://doi.org/10.1161/ATVBAHA.112.248757
        • Nishi T.
        • Ishii M.
        • Tsujita K.
        • Okamoto H.
        • Koto S.
        • Nakai M.
        • et al.
        Outcomes of venoarterial extracorporeal membrane oxygenation plus intra-aortic balloon pumping for treatment of acute myocardial infarction complicated by cardiogenic shock.
        J Am Heart Assoc. 2022; 11: e023713https://doi.org/10.1161/JAHA.121.023713
        • Chouairi F.
        • Milner A.
        • Sen S.
        • Guha A.
        • Stewart J.
        • Jastreboff A.M.
        • et al.
        Impact of obesity on heart transplantation outcomes.
        J Am Heart Assoc. 2021; 10: e021346https://doi.org/10.1161/JAHA.121.021346
        • Blackstone E.H.
        • Rajeswaran J.
        • Cruz V.B.
        • Hsich E.M.
        • Koprivanac M.
        • Smedira N.G.
        • et al.
        Continuously updated estimation of heart transplant waitlist mortality.
        J Am Coll Cardiol. 2018; 72: 650-659https://doi.org/10.1016/J.JACC.2018.05.045