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Diagnostics
Special Issues
Advances in Diagnostic and Therapeutic Strategies for Infectious Diseases
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Advances in Diagnostic and Therapeutic Strategies for Infectious Diseases

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Diagnostic Microbiology and Infectious Disease".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 426

Special Issue Editor

Dr. Margherita Sambo

E-Mail Website
Guest Editor
1. Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
2. Infectious and Tropical Diseases Unit, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy
Interests: HIV infection; viral hepatitis; antimicrobial stewardship; multidrug-resistant bacteria; infections in immunocompromised hosts

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the latest advancements in the diagnosis and clinical management of infectious diseases, addressing both emerging and re-emerging pathogens. It highlights innovative diagnostic tools, such as rapid molecular assays, next-generation sequencing, and point-of-care testing, which enable the early and accurate detection of infectious agents. The issue also explores the integration of artificial intelligence and machine learning into diagnostic workflows, offering new insights into personalized treatment strategies. Contributions from leading experts emphasize the importance of antimicrobial stewardship, vaccine development, and alternative therapies in combating infectious diseases, particularly in the context of antimicrobial resistance. By bridging cutting-edge research and clinical practice, this collection aims to improve patient outcomes and address global health challenges. It serves as a comprehensive resource for researchers, clinicians, and policymakers, providing valuable insights into the evolving landscape of infectious disease diagnosis and management.

Dr. Margherita Sambo
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. Diagnostics 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

  • infectious diseases
  • diagnostic advancements
  • therapeutic strategies
  • antimicrobial resistance
  • molecular diagnostics
  • clinical management
  • emerging pathogens
  • precision medicine

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

12 pages, 2092 KiB  
Article
Agreement Analysis Among Hip and Knee Periprosthetic Joint Infections Classifications
by Caterina Rocchi, Marco Di Maio, Alberto Bulgarelli, Katia Chiappetta, Francesco La Camera, Guido Grappiolo and Mattia Loppini
Diagnostics 2025, 15(9), 1172; https://doi.org/10.3390/diagnostics15091172 - 4 May 2025
Viewed by 323
Abstract
Background/Objectives: A missed periprosthetic joint infection (PJI) diagnosis can lead to implant failure. However, to date, no gold standard for PJI diagnosis exists, although several classification scores have been developed in the past years. The primary objective of the study was the [...] Read more.
Background/Objectives: A missed periprosthetic joint infection (PJI) diagnosis can lead to implant failure. However, to date, no gold standard for PJI diagnosis exists, although several classification scores have been developed in the past years. The primary objective of the study was the evaluation of inter-rater reliability between five PJI classification systems when defining a patient who is infected. Two secondary outcomes were further examined: the inter-rater reliability assessed by comparing the classifications in pairs, and the evaluation of each classification system within the subcategories defined by the World Association against Infection in Orthopaedics and Trauma (WAIOT) definition. Methods: Retrospectively collected data on patients with knee and hip PJIs were used to assess the agreement among five PJI scoring systems: the Musculoskeletal Infection Society (MSIS) 2013 definition, the Infection Consensus Group (ICG) 2018 definition, the European Bones and Joints Infection Society (EBJIS) 2018 definition, the WAIOT definition, and the EBJIS 2021 definition. Results: In total, 203 patients with PJI were included in the study, and the agreement among the examined scores was 0.90 (Krippendorff’s alpha = 0.81; p-value < 0.001), with the MSIS 2013 and ICG 2018 classification systems showing the highest agreement (Cohen’s Kappa = 0.91; p-value < 0.001). Conclusions: There is a strong agreement between the major PJI classification systems. However, a subset of patients (n = 11, 5.42%) still falls into a diagnostic grey zone, especially in cases of low-grade infections. This highlights the need for enhanced diagnostic criteria that incorporate tools that are available even with limited resources, and the potential of artificial intelligence-based techniques in improving early detection and management of PJIs. Full article
(This article belongs to the Special Issue Advances in Diagnostic and Therapeutic Strategies for Infectious Diseases)
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