Related Experiment Video
Updated: Jan 12, 2026

Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems
Published on: August 2, 2024
When Bad Things Happen to Good Hearts: Prediction and Management of Primary Graft Dysfunction
Nitish K Dhingra1, Farid Foroutan1, Lauren K Truby2
1Ted Rogers Centre for Heart Research, University of Toronto, Toronto, Canada.
Abstract:
Primary graft dysfunction (PGD) occurs in nearly 8%-10% of heart transplant recipients, and is the most consequential early complication with an associated reduction in 1-year survival from 95% to 75%. The biological mechanisms underpinning PGD are the subject of ongoing investigations, and thus recognizing, preventing, and treating PGD remain elusive goals. The present expert review summarizes salient developments in the prediction and management of PGD. The International Society for Heart & Lung Transplantation (ISHLT) consensus definition and its severity was developed more than a decade ago. Since then, a significant volume of literature has attempted to elucidate risk factors for PGD at the donor, recipient, and procedural level. Importantly, updated international consensus guidelines, currently in press, have revisited and modernized the definitions and grading of PGD to reflect contemporary practice. Although previously validated prediction tools have performed poorly in contemporary data sets, more updated and clinically relevant models have been developed by leveraging multinational data and machine learning algorithms. Translational research has identified several donor and recipient biomarkers that promise to revolutionize current prediction paradigms. With respect to the prevention of PGD, novel preservation systems have yielded encouraging early data for expanding the potential donor pool while reducing risk of PGD, but vigorous assessment through randomized trials is still lacking. Finally, although the mainstay of PGD management remains the use of vasoactive medications and mechanical circulatory support, there have been recent publications on pharmacological and nonpharmacological treatments for PGD that might reduce the clinical effects of this deadly complication. Although there remains a significant need to reduce the burden of PGD after heart transplantation, evolving literature suggests that with enough validated data, PGD might be a predictable phenomenon, the burden of which can be mitigated by targeted interventions at discrete time points. Performance of multicentre, prospective, and when possible randomized trials will be crucial to ensuring that future clinical practice is guided by robust evidence.
Insights
Primary graft dysfunction (PGD) after heart transplantation is a major complication impacting survival. Recent advancements in prediction models and novel interventions show promise for mitigating PGD
Area of Science:
- Cardiology
- Transplantation immunology
- Medical technology
Background:
- Primary graft dysfunction (PGD) affects 8%-10% of heart transplant recipients, significantly reducing 1-year survival.
- Understanding the biological mechanisms of PGD is crucial for effective recognition, prevention, and treatment.
- Existing PGD definitions and prediction tools require modernization to align with current clinical practices.
Purpose of the Study:
- To review recent advancements in the prediction and management of primary graft dysfunction after heart transplantation.
- To highlight updated consensus guidelines and novel predictive models for PGD.
- To discuss emerging strategies for PGD prevention and treatment.
Main Methods:
- Expert review of current literature on PGD in heart transplantation.
- Analysis of updated international consensus guidelines for PGD definition and grading.
- Evaluation of novel prediction models utilizing multinational data and machine learning.
- Assessment of emerging donor/recipient biomarkers and preservation techniques.
- Review of current and novel pharmacological and non-pharmacological PGD management strategies.
Main Results:
- Updated international consensus guidelines have modernized PGD definitions and grading.
- Machine learning algorithms and multinational data have improved PGD prediction models.
- Novel preservation systems show early promise for expanding the donor pool and reducing PGD risk.
- Emerging biomarkers offer potential for revolutionizing PGD prediction paradigms.
- New pharmacological and non-pharmacological treatments are being investigated for PGD management.
Conclusions:
- PGD remains a significant challenge in heart transplantation, necessitating continued research.
- Advancements in prediction and management strategies offer hope for reducing PGD's clinical impact.
- Multicenter, prospective, and randomized trials are essential to validate new interventions and guide clinical practice.
Related Concept Videos
Peripheral Artery Disease V: Postoperative Nursing Management
Kidney Transplant III: Nursing Management
Kidney Transplant II: Surgical Procedure

