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Current Trends and Future Perspectives in Mechanical Circulatory Support and...
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Current Trends and Future Perspectives in Mechanical Circulatory Support and Heart Transplantation

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Cardiology".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 620

Special Issue Editor

Prof. Dr. Nandini Nair

E-Mail Website
Guest Editor
Division of Cardiology, Department of Medicine, Milton S Hershey Medical Center, 500 University Drive, Hershey, PA 17033, USA
Interests: heart transplantation; heart failure; mechanical circulatory support

Special Issue Information

Dear Colleagues,

Advanced heart failure therapies such as mechanical circulatory support and cardiac transplantation have evolved considerably in the last 50 years and become the standard of care for end-stage heart failure. The advancements in the development of anti-rejection drugs and therapies have led to the establishment of heart transplantation as a treatment for advanced heart failure. This has also led to better outcomes and a prolonged survival of the allografts.

Mechanical circulatory support and the concept of the “artificial heart” have been around since the 1960s and, in time, steady progress has been made and these have evolved as the mainstay of therapy in heart failure. “Mechanical hearts” rose to prominence in the setting of organ shortage. Today the 2- year survival of patients on a mechanical heart is similar to that of cardiac allograft recipients. Additionally, the use of newer advancements such as artificial-intelligence-driven technologies may improve the identification of risk factors with the goal of improving patient selection and outcomes. For this Special Issue, we encourage the submission of papers that address the current and future advancements in the field of advanced heart failure, mechanical support and cardiac transplantation.

Prof. Dr. Nandini Nair
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heart transplantation
  • heart failure
  • mechanical circulatory support
  • immunosuppression
  • cardiovascular

Published Papers (1 paper)

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Review

18 pages, 573 KiB  
Review
Artificial Intelligence Approaches for Predicting the Risks of Durable Mechanical Circulatory Support Therapy and Cardiac Transplantation
by Chloe Grzyb, Dongping Du and Nandini Nair
J. Clin. Med. 2024, 13(7), 2076; https://doi.org/10.3390/jcm13072076 - 03 Apr 2024
Viewed by 419
Abstract
Background: The use of AI-driven technologies in probing big data to generate better risk prediction models has been an ongoing and expanding area of investigation. The AI-driven models may perform better as compared to linear models; however, more investigations are needed in this [...] Read more.
Background: The use of AI-driven technologies in probing big data to generate better risk prediction models has been an ongoing and expanding area of investigation. The AI-driven models may perform better as compared to linear models; however, more investigations are needed in this area to refine their predictability and applicability to the field of durable MCS and cardiac transplantation. Methods: A literature review was carried out using Google Scholar/PubMed from 2000 to 2023. Results: This review defines the knowledge gaps and describes different AI-driven approaches that may be used to further our understanding. Conclusions: The limitations of current models are due to missing data, data imbalances, and the uneven distribution of variables in the datasets from which the models are derived. There is an urgent need for predictive models that can integrate a large number of clinical variables from multicenter data to account for the variability in patient characteristics that influence patient selection, outcomes, and survival for both durable MCS and HT; this may be fulfilled by AI-driven risk prediction models. Full article
(This article belongs to the Special Issue Current Trends and Future Perspectives in Mechanical Circulatory Support and Heart Transplantation)
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