Updates in Infective Endocarditis—2nd Edition

A special issue of Pathogens (ISSN 2076-0817). This special issue belongs to the section "Bacterial Pathogens".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 557

Special Issue Editors


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Guest Editor
Division of Public Health, Infectious Diseases and Occupational Medicine, Mayo Clinic, Rochester, MN, USA
Interests: cardiovascular infections; orthopedic infections; hardware-associated infections; antimicrobial resistance; mycobacterial infections
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Guest Editor
Division of Public Health, Infectious Diseases and Occupational Medicine, Mayo Clinic, Rochester, MN, USA
Interests: cardiovascular infections; fungal infections; immunocompromised host

Special Issue Information

Dear Colleagues,

Infective endocarditis (IE) is an uncommon yet debilitating condition that has received considerable attention in the medical field over the past century. The crude incidence of IE is anywhere between 2 and 10 cases per 100,000 people. The epidemiology of IE is dynamic and has changed over the last few decades owing to changes in the epidemiology of rheumatic heart disease and to the increased use of cardiovascular devices. What was once a disease of young adults now predominantly affects patients above the age of 50 years, particularly in the industrialized world. Moreover, IE has shifted from its commonly subacute form caused by viridans group Streptococci to a largely acute infection caused by Staphylococcus aureus and other virulent Gram-positive pathogens. Therefore, IE remains an aggressive disease with marked morbidity and mortality. The 1-year mortality from IE can reach up to 30%-40% overall and may even be higher when caused by S. aureus

The early diagnosis and treatment of IE provides the best chance for reduced morbidity and mortality. Despite the scientific advances made in understanding IE, it remains a challenging infection to diagnose. In fact, as little as 20% of clinically diagnosed cases were classified as definite IE in some studies. Many uncertainties also remain about the optimal therapeutic approach to IE. This includes both surgical, novel percutaneous interventions, and antimicrobial therapies. Physicians in the field require updates on contemporary advances in IE management. The most recent scientific statements from the American Heart Association and the Infectious Diseases Society of America date back to 2015, as do the relevant guidelines from the European Society of Cardiology. Since then, important developments in IE research have occurred that warrant discussion. This Special Issue will serve the purpose of updating clinicians on the epidemiology, diagnosis, and management of IE in the current era. 

The focus of this Special Issue will be on advances made in the following areas of research, though research in other areas within the field of IE is also welcome. 

  • Trends in the epidemiology of IE;
  • Pathogen-specific risks for IE;
  • Culture-negative IE;
  • Risk scores for echocardiography;
  • Diagnostic imaging in IE;
  • Microbiologic diagnosis of IE;
  • Dogma and uncertainties in antimicrobial therapy for IE;
  • Surgical management of IE;
  • AngioVac for IE;
  • Phage therapy for IE;
  • Antibiotic prophylaxis for dental procedures;
  • IE in people who inject drugs;
  • IE complicating transcutaneous aortic valve replacement (TAVR).

Dr. Hussam Tabaja
Dr. Jack McHugh
Guest Editors

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Keywords

  • infective endocarditis
  • cardiovascular infection
  • echocardiography
  • nuclear scan
  • positron-emission tomography
  • AngioVac
  • phage therapy
  • transcutaneous aortic valve replacement
  • TAVR

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Published Papers (1 paper)

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Review

13 pages, 442 KiB  
Review
Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?
by Jack W. McHugh, Douglas W. Challener and Hussam Tabaja
Pathogens 2025, 14(4), 371; https://doi.org/10.3390/pathogens14040371 - 9 Apr 2025
Viewed by 339
Abstract
Artificial intelligence (AI) has emerged as a promising adjunct in the diagnosis and management of infective endocarditis (IE), a disease characterized by diagnostic complexity and significant morbidity. Machine learning (ML) models such as SABIER and SYSUPMIE have demonstrated strong predictive accuracy for early [...] Read more.
Artificial intelligence (AI) has emerged as a promising adjunct in the diagnosis and management of infective endocarditis (IE), a disease characterized by diagnostic complexity and significant morbidity. Machine learning (ML) models such as SABIER and SYSUPMIE have demonstrated strong predictive accuracy for early IE diagnosis, embolic risk stratification, and postoperative mortality, surpassing traditional clinical scoring systems. In imaging, AI-enhanced echocardiography and advanced modalities like FDG-PET/CT offer improved sensitivity, specificity, and reduced inter-observer variability, potentially transforming clinical decision making. Additionally, AI-powered microbiological techniques, including MALDI-TOF mass spectrometry combined with ML and neural network-based metagenomic classifiers, show promise in rapidly identifying pathogens and predicting antimicrobial resistance. Despite encouraging early results, widespread adoption faces barriers, including data limitations, interpretability issues, ethical concerns, and the need for robust validation. Future directions include leveraging generative AI as clinical consultative tools, provided their capabilities and limitations are carefully managed. Ultimately, collaborative efforts addressing these challenges could transform IE care, enhancing diagnostic accuracy, clinical outcomes, and patient safety. Full article
(This article belongs to the Special Issue Updates in Infective Endocarditis—2nd Edition)
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