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Special Issues
Arthroplasty and Personalized Medicine: Updates and Challenges
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Arthroplasty and Personalized Medicine: Updates and Challenges

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: 1 March 2027 | Viewed by 5298

Editors

Dr. Eugenio Jannelli

E-Mail Website
Guest Editor
1. Orthopedics and Traumatology Clinic, IRCCS Policlinico San Matteo Foundation, 27100 Pavia, Italy
2. Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
Interests: arthroplasty; orthopaedics; fracture; traumatology
Special Issues, Collections and Topics in MDPI journals
Dr. Michela Saracco

E-Mail
Guest Editor Assistant
Department of Orthopaedics, University of Naples “Federico II”, 80131, Naples, Italy
Interests: arthroplasty; orthopaedics; fracture; traumatology; orthoplastic; limbs’ reconstructive microsurgery

Special Issue Information

Dear Colleagues,

This Special Issue aims to delve into the new topic of personalized medicine applied to orthopedic surgery, especially arthroplasty and orthobiology.

Personalized, or precision, medicine is an emerging branch of the medicine. Its scope is to provide prevention and treatment strategies based on specific phenotypes and genotypes characteristics. It could be seen as an evolution of medicine, which offers the possibility to offer the most effective and safe treatment for our patients.

In particular, research areas will include the following:

  • Personalized medicine and orthopedic surgery;
  • How personalized medicine can be applied to prosthetic surgery;
  • “Custom-made” prosthesis in primary and revision implants;
  • How personalized medicine has changed orthopedic surgery in recent years;
  • Precision-medicine approach applied to orthobiology and joint replacements;
  • Personalized medicine and tissue regeneration in orthopedics and orthoplastic.

Both original research and systematic reviews are welcome.

Dr. Eugenio Jannelli
Guest Editor

Dr. Michela Saracco
Guest Editor Assistant

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 Personalized Medicine is an international peer-reviewed open access monthly 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

  • personalized medicine
  • personalized orthopedic surgery
  • primary and revision arthroplasties
  • personalized orthoplastic approach
  • personalized orthobiology

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

Published Papers (3 papers)

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12 pages, 1143 KB  
Article
Identifying Risk Groups in 401,846 Osteoarthritis Patients Undergoing Total Hip Arthroplasty: A Machine Learning Clustering Analysis
by Alishah Ahmadi, Anthony J. Kaywood, Areeb Ansari, Alejandra Chavarria, Oserekpamen Favour Omobhude, Adam Kiss, Mateusz Faltyn and Jason S. Hoellwarth
J. Pers. Med. 2026, 16(6), 280; https://doi.org/10.3390/jpm16060280 - 24 May 2026
Viewed by 407
Abstract
Background/Objective: Osteoarthritis (OA) is the most common indication for total hip arthroplasty (THA), yet postoperative utilization and discharge outcomes vary substantially due to heterogeneous comorbidity burdens. This study applied unsupervised machine learning clustering to identify distinct comorbidity profiles among OA patients undergoing [...] Read more.
Background/Objective: Osteoarthritis (OA) is the most common indication for total hip arthroplasty (THA), yet postoperative utilization and discharge outcomes vary substantially due to heterogeneous comorbidity burdens. This study applied unsupervised machine learning clustering to identify distinct comorbidity profiles among OA patients undergoing THA and to evaluate their association with non-routine discharge (NRD) and length of stay (LOS). Methods: The 2015–2021 National Inpatient Sample was queried using ICD-10 CM/PCS codes to identify patients with OA undergoing THA. Forty-nine comorbidities, complications, and in-hospital clinical covariates were incorporated into a k-modes clustering analysis. The Davies–Bouldin and Calinski–Harabasz indices were used to determine the optimal number of clusters. Multivariable logistic regression assessed adjusted odds of NRD across clusters, and Kruskal–Wallis H testing evaluated differences in LOS. Results: A total of 401,846 patients were included, and five distinct clusters were identified, ranging from 777 to 331,755 patients. Clusters with higher prevalence of renal dysfunction, cardiovascular disease, anemia, and heart failure demonstrated significantly increased risk of NRD (adjusted odds ratios up to 3.01, p < 0.001) and prolonged hospitalization, with median LOS up to 4 days. Lower-risk clusters exhibited shorter hospitalizations with median LOS of 2 days and higher rates of routine discharge. Kruskal–Wallis testing confirmed significant LOS differences across all clusters (p < 0.001). Conclusions: Machine learning clustering of OA patients undergoing THA identified clinically distinct subgroups with graded differences in postoperative hospital utilization. Patients with greater comorbidity burden experienced disproportionately higher risk of NRD and prolonged LOS. This data-driven framework highlights heterogeneity within the OA population and may inform future strategies for perioperative risk stratification and resource planning. Full article
(This article belongs to the Special Issue Arthroplasty and Personalized Medicine: Updates and Challenges)
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15 pages, 2933 KB  
Article
Does Intraoperative Navigation Improve K-Wire Positioning in Reverse Shoulder Arthroplasty?—A New Approach
by Timo Blaszczyk, Georg Gosheger, Jonathan Wohlmuth and Vincent Hofbauer
J. Pers. Med. 2025, 15(11), 509; https://doi.org/10.3390/jpm15110509 - 29 Oct 2025
Viewed by 875
Abstract
Background/Objectives: In reverse shoulder arthroplasty (RSA), precise K-wire positioning of the glenoid component is critical to prevent complications such as glenoid loosening or instability as well as premature implant failure. Optimal component placement must adhere to individualized preoperative plans to account for patient-specific [...] Read more.
Background/Objectives: In reverse shoulder arthroplasty (RSA), precise K-wire positioning of the glenoid component is critical to prevent complications such as glenoid loosening or instability as well as premature implant failure. Optimal component placement must adhere to individualized preoperative plans to account for patient-specific anatomical conditions. Conventional methods often fail to achieve this level of accuracy, undermining the need for personalized medicine. Intraoperative navigation systems are growing in use to improve accuracy in orthopedic surgery. This study aimed to compare the accuracy of K-wire positioning in a 3D-printed model of the scapula using conventional versus navigated methods. Methods: We recruited 20 participants: 10 experienced surgeons and 10 inexperienced medical students. Each participant performed four K-wire drillings—two with conventional instruments and two with an intraoperative navigation system. A novel target system, BoneTrack3D, was used to measure accuracy. We assessed the absolute deviation of the entry and exit points as well as the three-dimensional drilling angle. Results: The navigated method was significantly more accurate for all measured parameters at a family-wise significance level of α = 0.05. The median absolute deviation for the entry point was 1.6 mm with navigation versus 3.0 mm with the conventional method (p < 0.001). Similarly, the exit point deviation was 1.8 mm with navigation versus 6.7 mm conventionally (p < 0.001). The drilling angle deviation also showed significant improvement with navigation, at 2.6° compared to 8.9° conventionally (p < 0.001). However, the navigated method took longer, with a median drilling time of 100.0 s compared to 55.0 s for the conventional method (p < 0.001). The navigated method provided consistent and superior results regardless of a participant’s surgical experience. Conclusions: Navigated techniques for K-wire positioning in RSA demonstrate enhanced accuracy in a 3D-printed model, effectively executing a precise, patient-specific preoperative plan. This could be a direct contribution to personalized medicine, ensuring the final implant alignment is tailored to the individual’s anatomy. Furthermore, intraoperative navigation may contribute to a flatter learning curve, thereby increasing accessibility for surgeons with varying levels of experience. Although navigation introduces additional costs and longer initial procedure times, these drawbacks could be offset by improved technical outcomes and a reduced risk of complications. Future studies, including randomized clinical trials and cost-effectiveness analyses, should seek to validate these results in clinical settings with longer follow-up periods and larger patient cohorts to define long-term value and utility of navigation systems in reverse shoulder arthroplasty. Full article
(This article belongs to the Special Issue Arthroplasty and Personalized Medicine: Updates and Challenges)
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15 pages, 755 KB  
Systematic Review
Prosthetic Joint Infections in Trapeziometacarpal Arthroplasty: A Comprehensive Systematic Review
by Guido Bocchino, Silvia Pietramala, Stella La Rocca, Giulia Di Pietro, Alessandro El Motassime, Giacomo Capece, Domenico De Mauro, Camillo Fulchignoni, Giulio Maccauro and Raffaele Vitiello
J. Pers. Med. 2026, 16(1), 35; https://doi.org/10.3390/jpm16010035 - 5 Jan 2026
Viewed by 1221
Abstract
Background: Osteoarthritisof the first trapeziometacarpal (TMC) joint (rhizarthrosis) is a degenerative condition causing pain, reduced mobility, and functional limitations, particularly in older adults and postmenopausal women. Though conservative treatments offer symptomatic relief, advanced cases often require trapeziectomy or total joint replacement. The choice [...] Read more.
Background: Osteoarthritisof the first trapeziometacarpal (TMC) joint (rhizarthrosis) is a degenerative condition causing pain, reduced mobility, and functional limitations, particularly in older adults and postmenopausal women. Though conservative treatments offer symptomatic relief, advanced cases often require trapeziectomy or total joint replacement. The choice of prosthesis is tailored to patient-specific factors such as age, functional demands, and comorbidities. Despite the benefits of TMC joint replacements, prosthetic infections remain underexplored. Materials and Methods: This systematic review (covering 2000–2024) adhered to PRISMA guidelines, searching Medline, Cochrane, and Google Scholar for randomized controlled trials and case series. Data on demographics, prosthesis types, infection rates, and management strategies were extracted and analyzed. Results: Among 4165 TMC joint procedures reported in 63 studies, 15 cases (0.36%) involved superficial or deep infections, with Staphylococcus aureus identified in two instances. Management ranged from antibiotic therapy and debridement to prosthesis removal with or without reimplantation. Conclusions: Variability in diagnostic criteria and reporting limited uniform conclusions. Although infections are infrequent, they pose significant management challenges due to inconsistent diagnostic criteria and treatments. Early identification and tailored interventions remain critical. This review underscores the need for standardized protocols and highlights gaps in current research. Future studies should focus on multicenter trials and robust methodologies to improve outcomes and advance infection management in TMC prosthesis surgery. Full article
(This article belongs to the Special Issue Arthroplasty and Personalized Medicine: Updates and Challenges)
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