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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.
Sec. Heart Failure and Transplantation
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1371443

A study on the global patterns in the design and development of ventricular assist devices: a visualization approach

Provisionally accepted
Ajay K Sood Ajay K Sood *A K Prasada Rao A K Prasada Rao
  • School of Engineering and Technology, BML Munjal University, Gurugram, Haryana, India

The final, formatted version of the article will be published soon.

    Introduction: Ventricular assist devices (VADs) are lifesavers for people with advanced heart failure. The design of these devices has undergone drastic changes over time with latest designs being far more efficient, small, lightweight, and more user friendly. The aim of this study is to analyse publications using bibliometric analysis and to see the progress and identify key themes, trends and collaboration networks. Method: Data relevant to this study was obtained from Scopus as well as Web of Science databases from 1990 to 2023. Data analysis was done using Biblioshiny which is an R based software and is part of RStudio and Microsoft Excel to analyse collaboration between countries, authors, keyword analysis, trend topics and evolution of various themes related to this study. Results: 489 published documents were analysed and these documents were from 158 different sources and 1753 authors. The top contributing journals were Artificial Organs and Asaio Journals with 116 and 81 publications respectively. The top contributing authors in terms of total documents were Nose Y (35) and Throckmorton A (30) and in terms of total citations were Pagani F (2005) and Mehra M (1952). Top countries include USA, China and Germany. The trend topics include miniaturization, machine learning, wireless, shear flow, and fibre optic sensors. Discussion: The latest technological advancements in VAD design are making them a more suitable choice for a large number of patients. This bibliometric work will aid in identifying the newest trends and developments in this field, and to highlight the areas where more research is needed. This data is crucial for driving innovation in this field and for improving the lives of patients who depend on VAD devices. The future studies can be conducted to explore the use of artificial intelligence and machine learning that can learn from data about patients and then adapt as per the requirements of the patients.

    Keywords: Ventricular assist device, LVAD, Blood pump design, computational fluid dynamics, Continuous flow pump

    Received: 16 Jan 2024; Accepted: 15 Jan 2025.

    Copyright: © 2025 Sood and Prasada Rao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ajay K Sood, School of Engineering and Technology, BML Munjal University, Gurugram, 123413, Haryana, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.