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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: Pediatr Transplant. 2021 Mar 23;25(4):e14012. doi: 10.1111/petr.14012

Reducing the Wait: Total Cardiac Volume Can Expand the Donor Pool for Heart Transplant Candidates

Nicholas A Szugye 1, Ryan A Moore 1,2, Alia Dani 1, Angela Lorts 1,2, Farhan Zafar 1,2, David LS Morales 1,2
PMCID: PMC8141014  NIHMSID: NIHMS1684350  PMID: 33755282

Abstract

A 16-year-old with new-onset dilated cardiomyopathy underwent VAD placement, later complicated by low flow from outflow graft kinking. To expedite heart transplantation, total cardiac volume was calculated and compared with 141 normal patients pinpointing the upper weight threshold. He was transplanted 2 days later within the expanded weight range with no post-transplant complications.

Keywords: Pediatric, Heart Transplantation, Computed Tomography, Pediatric Heart Transplantation, Total Cardiac Volume, Size Matching

Case Presentation

A 16-year-old previously healthy male presented to an outside hospital in cardiogenic shock and was found to have new-onset dilated cardiomyopathy. Echocardiography showed severe LV chamber dilation and dysfunction with an ejection fraction of 10%. He was started on inotropic support and transferred to our center’s cardiac intensive care unit. A cardiac catheterization showed increased LV end-diastolic pressure of 30 mmHg with estimated pulmonary vascular resistance of 0.8 indexed Wood’s units.

The decision was made to undergo left ventricular assist device (VAD) placement as a bridge-to-transplantation. A virtual fit was performed and the HeartMate III (HM3; Abbott) was determined to be best for this patient. The patient underwent HM3 placement without complication. Following VAD placement, the patient was discharged home for cardiac and nutritional rehabilitation before listing for transplant.

Eight weeks following VAD implant, he presented with low flow, palpitations and chest pain. HM3 device interrogation revealed increased intermittent low flow and pulsatility index events that were only responsive to fluid therapy. A cardiac computed tomography (CT) showed the HM3 outflow cannula had shifted rightward creating a sharp turn over the right chest which confirmed the mechanism for VAD flow restriction. It was decided to list him for transplant with the hope that his VAD could be managed to donor acceptance. He was listed status 1a at a dry weight of 64 kg (height 177 cm, BSA 1.79 m2) with an accepted donor weight range of 60 to 80 kg, equivalent to a donor recipient weight ratio (DRWR) between 0.9 and 1.3. Given his worsening clinical status, the team sought to expand the donor weight range to potentiate offers. A total cardiac volume (TCV) was calculated at 1164 cm3 (Figure 1) from the cardiac CT, using Mimics 3D modeling software (Materialise, Belgium)1,2. TCV is a 3D estimation of the myocardial and chamber volumes obtained by segmenting the intracardiac blood pool, atrial myocardial borders, ventricular myocardial borders, and the borders of the typical heart transplant anastomotic sites (systemic veins, pulmonary veins, pulmonary artery, and aorta). The recipient TCV was then compared to a virtual TCV donor pool of 146 normal subjects from our center (Figure 2B). Based on the patient’s recipient TCV, the upper limit of donor weight was increased from 80 kg to 100 kg. Within 2 days of increasing the listed weight, a suitable donor heart was offered in a patient weighing 92 kg (height 182 cm, BSA 2.13 m2)(Figure 2). The DRWR was 1.43. There were no intraoperative or postoperative complications related to oversizing. He was extubated on post-operative day (POD) 1 and transferred from the CICU on POD 8. He was discharged home on POD 12. At follow-up 7 months later, the patient continues to do clinically well.

Figure 1:

Figure 1:

The TCV segmentation is shown in the axial plane (A), coronal plane (B), and 3-dimensional reconstruction (C). TCV mass is in Red and HMIII is in green. Abbreviations: TCV; Total Cardiac Volume, HMIII; Heartmate III.

Figure 2:

Figure 2:

The recipient TCV segmentation (red) overlaid with predicted donor heart TCV (yellow) is shown in multiple planes (A), and in a 3D reconstruction. Other structures are the implanted HM3 device (green), superior vena cava (blue), pulmonary arteries in purple. (B) A best fit line of weight vs. TCV in the normal population (black dots) with the 95% confidence interval (dotted line). The measured recipient TCV (red diamond) is larger than all normal TCVs and the predicted donor TCV (yellow square).

Discussion

Weight-based size matching in pediatric heart transplantation is the current standard, however weight-based organ matching has not consistently been shown to impact outcomes3-7. There are no guidelines for weight ranges and therefore significant practice variation exists in transplant listing, indicating a need for guidance on size matching to enable optimal utilization of the available organs for transplant3. Furthermore, the most recent guidelines by the International Society of Heart and Lung Transplantation offer no specific guidance for constraining weight range8. In adult heart transplantation, weight ratio has long been the standard of care though the adult heart transplant field has been moving toward use of predicted heart mass (PHM)9. PHM is a predictive model of right and left ventricular myocardial mass calculated from sex, age, weight, and height10.

Lacking a heart size measure like PHM in children, TCV-based size matching has recently emerged as a method for more precise organ matching, and has demonstrated on numerous occasions the potential to expand the donor pool for listed patients1,2,6,11,12. This type of targeted size matching allows avoidance of complications related to oversizing, such as bronchial compression, delayed chest closure, and prolonged length of stay13,14.

Searching the United Network for Organ Sharing (UNOS) database reveals that it is uncommon for adult-sized patients to undergo heart transplantation when the DRWR is greater than 1.4. The UNOS database (1987-2020) contains 55,816 unique heart transplants with recipient’s age 16 years or older and over 60 kg. For these transplants, the mean DRWR was 0.98 and only 4.2% (n= 2,458) had a DRWR greater than 1.4.

This case exemplifies the benefit of using TCV to inform listed weight ranges for heart transplant candidates. As demonstrated, the wait-time for a donor was likely reduced by increasing the acceptable weight range by 20 kg. Comparing the patient’s actual TCV to our virtual TCV donor pool assured our team that the patient had lower risk for complications related to graft oversizing. While our center has historically been conservative on DRWR, some transplant centers select a less restrictive DRWR of >2 for pediatric patients6. However, the actual transplanted DRWR average is 1.64 for these patients and not significantly higher than those with a lower listing DRWR. Our center is cognizant of our conservative DRWR approach, and thus, have recently begun using CT-derived TCV to inform listing behaviors with this case being the first example.

Inclusion of height, age, sex, and Chest X-ray heart diameter has been shown to improve the prediction of donor TCV12. Further study is needed regarding supplemental imaging, such as echocardiography, to improve TCV prediction. The integration of patient imaging and anthropometrics can enable the field to move toward a more accurate system of TCV-based size matching. Advanced 3D modeling of patient-specific imaging can allow for targeted weight ranges that expand the donor pool and reduce waitlist time, all while providing a data-driven and informed approach for safe size matching practices.

To decrease the time and labor burden of these measurements, future studies may aim to use deep learning convolutional neural networks (DL-CNN) to perform automatic TCV calculation. There has been some progress in the development of DL-CNN autosegmentation algorithms using cardiac CT and magnetic resonance imaging (MRI); however, this is specific to intracardiac blood pool segmentation only and not transplant-focused TCV segmentation as described above.15. Additionally, future investigation may determine whether TCV methods are beneficial in adult heart transplantation.

In conclusion, size matching in pediatric heart transplantation listing is predominantly determined by comparing donor and recipient weights; yet, there is insufficient evidence to guide the acceptable upper and lower limits of donor weight. Total cardiac volume-based size matching holds potential for more precise organ matching in pediatric heart transplantation.

Supplementary Material

VIDEO S1
Download video file (60.9MB, mp4)

Acknowledgments

Funding Statement

Dr. Zafar’s and Dr. Morales’ time was supported by National Institute of Health grant 1R01HL147957-02 (National Institute of Health, NIH, Bethesda, Maryland, U.S.A.). There was no funding support for the other authors toward this work.

Abbreviations

CT

Computed Tomography

DRWR

Donor recipient weight ratio

HM3

Heartmate 3

POD

Post-operative day

TCV

Total Cardiac Volume

UNOS

United Network for Organ Sharing

VAD

Ventricular Assist Device

Footnotes

Disclosure Statement

Dr. Lorts reports grants from Berlin, grants and personal fees from Abbott, grants and personal fees from Medtronic, personal fees from Syncardia, and personal fees from Abiomed, all outside the submitted work. Dr. Morales reports consultant fee from Cormatrix, Inc., personal fees from Syncardia, Inc., personal fees and consultant fee from Abbott Medical Inc., personal fees and consultant fee from Xeltis, Inc., consultant fee from Berlin Heart, Inc., all outside the submitted work. The remaining authors have nothing to disclose.

Data Availability Statement:

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

REFERENCES

  • 1.Shugh SB, Szugye NA, Zafar F, et al. Expanding the donor pool for congenital heart disease transplant candidates by implementing 3D imaging-derived total cardiac volumes. Pediatr Transplant. 2020;24(1):e13639. [DOI] [PubMed] [Google Scholar]
  • 2.Szugye NA, Lorts A, Zafar F, Taylor M, Morales DLS, Moore RA. Can virtual heart transplantation via 3-dimensional imaging increase the maximum acceptable donor size? J Heart Lung Transplant. 2019;38(3):331–333. [DOI] [PubMed] [Google Scholar]
  • 3.Riggs KW, Giannini CM, Szugye N, et al. Time for evidence-based, standardized donor size matching for pediatric heart transplantation. J Thorac Cardiovasc Surg. 2019;158(6):1652–1660 e1654. [DOI] [PubMed] [Google Scholar]
  • 4.Dewey FE, Rosenthal D, Murphy DJ Jr., Froelicher VF, Ashley EA. Does size matter? Clinical applications of scaling cardiac size and function for body size. Circulation. 2008;117(17):2279–2287. [DOI] [PubMed] [Google Scholar]
  • 5.Patel ND, Weiss ES, Nwakanma LU, et al. Impact of donor-to-recipient weight ratio on survival after heart transplantation: analysis of the United Network for Organ Sharing Database. Circulation. 2008;118(14 Suppl):S83–88. [DOI] [PubMed] [Google Scholar]
  • 6.Ploutz MS, Plasencia JD, Mirea L, Pophal SG, Velez DA, Zangwill SD. Volumetrics and fit assessments for donor to recipient size matching in pediatric heart transplantation: Is it time for a new paradigm? Clin Transplant. 2020;34(5):e13843. [DOI] [PubMed] [Google Scholar]
  • 7.Razzouk AJ, Johnston JK, Larsen RL, Chinnock RE, Fitts JA, Bailey LL. Effect of oversizing cardiac allografts on survival in pediatric patients with congenital heart disease. J Heart Lung Transpl. 2005;24(2):195–199. [DOI] [PubMed] [Google Scholar]
  • 8.Kirk R, Dipchand AI, Davies RR, et al. ISHLT consensus statement on donor organ acceptability and management in pediatric heart transplantation. J Heart Lung Transplant. 2020;39(4):331–341. [DOI] [PubMed] [Google Scholar]
  • 9.Kransdorf EP, Kittleson MM, Benck LR, et al. Predicted heart mass is the optimal metric for size match in heart transplantation. J Heart Lung Transpl. 2019;38(2):156–165. [DOI] [PubMed] [Google Scholar]
  • 10.Gong TA, Joseph SM, Lima B, et al. Donor predicted heart mass as predictor of primary graft dysfunction. J Heart Lung Transplant. 2018;37(7):826–835. [DOI] [PubMed] [Google Scholar]
  • 11.Plasencia JD, Kamarianakis Y, Ryan JR, et al. Alternative methods for virtual heart transplant-Size matching for pediatric heart transplantation with and without donor medical images available. Pediatr Transplant. 2018;22(8):e13290. [DOI] [PubMed] [Google Scholar]
  • 12.Szugye NA, Zafar F, Ollberding NJ, et al. A novel method of donorrecipient size matching in pediatric heart transplantation: A total cardiac volumepredictive model. J Heart Lung Transplant. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Holzhauser L, Imamura T, Bassi N, et al. Increasing heart transplant donor pool by liberalization of size matching. J Heart Lung Transplant. 2019;38(11):1197–1205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Thomas B, Flet JG, Shyam R, Kirk RC, Gennery AR, Spencer DA. Chronic respiratory complications in pediatric heart transplant recipients. J Heart Lung Transplant. 2007;26(3):236–240. [DOI] [PubMed] [Google Scholar]
  • 15.Zhuang X, Shen J. Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI. Med Image Anal. 2016;31:77–87. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

VIDEO S1
Download video file (60.9MB, mp4)

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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