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Personalized Medicine for Rheumatic Diseases
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Personalized Medicine for Rheumatic Diseases

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".

Deadline for manuscript submissions: 25 December 2024 | Viewed by 1041

Special Issue Editors

Dr. Rossella De Angelis

E-Mail Website
Guest Editor
Department of Clinical and Molecular Sciences, Polytechnic University of Marche, 60035 Jesi (AN), Italy
Interests: systemic sclerosis; nailfold capillaroscopy; microcirculation in rheumatic diseases
Prof. Dr. Marco Di Carlo

E-Mail Website
Guest Editor
Department of Clinical and Molecular Sciences, Polytechnic University of Marche, 60035 Jesi (AN), Italy
Interests: clinimetrics; patient-reported outcome measures in rheumatic diseases
Special Issues, Collections and Topics in MDPI journals
Dr. Emilio Filippucci

E-Mail Website
Guest Editor
Department of Clinical and Molecular Sciences, Polytechnic University of Marche, 60035 Jesi, Italy
Interests: ultrasound in rheumatic and musculo-skeletal diseases
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue highlights and discusses the recent findings on rheumatic diseases, including the methodologies and tools used to detect, diagnose and manage the clinical counterpart of these diseases. The contributions reveal the importance of multidisciplinary teams that utilise the expertises of laboratory, clinical, imaging and clinimetry researchers while trying to fill the gaps in the knowledge about this topic, promising a great and exciting future in this field.

We strongly encourage researchers to contribute to this Special Issue and share novel approaches to the diagnosis and treatment of rheumatic diseases.

Dr. Rossella De Angelis
Prof. Dr. Marco Di Carlo
Dr. Emilio Filippucci
Guest Editors

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 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

  • chronic arthritis
  • rheumatoid arthritis
  • seronegative arthritis
  • crystal arthropathies
  • connective tissue diseases
  • autoimmunity
  • laboratory medicine
  • ultrasound
  • nailfold capillaroscopy
  • clinimetric tools

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

Published Papers (1 paper)

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Research

15 pages, 1426 KiB  
Article
Low-Carbon Monoxide Diffusing Capacity, Patient-Reported Measures and Reduced Nailfold Capillary Density Are Associated with Interstitial Lung Disease in Systemic Sclerosis
by Rossella De Angelis, Edoardo Cipolletta, Francesca Francioso, Marina Carotti, Sonia Farah, Andrea Giovagnoni and Fausto Salaffi
J. Pers. Med. 2024, 14(6), 635; https://doi.org/10.3390/jpm14060635 - 14 Jun 2024
Viewed by 729
Abstract
The aim of this paper is to identify factors associated with interstitial lung disease (ILD) in patients with systemic sclerosis (SSc) and build an algorithm to better define this association for a personalised application in clinical practice. Methods. A total of 78 SSc [...] Read more.
The aim of this paper is to identify factors associated with interstitial lung disease (ILD) in patients with systemic sclerosis (SSc) and build an algorithm to better define this association for a personalised application in clinical practice. Methods. A total of 78 SSc patients underwent HRCT to assess ILD. Demographic, clinical and laboratory variables were collected, focusing on those associated either directly or indirectly with lung involvement. The discriminant value of each variable was determined using the operating characteristic curves (ROC) and included in a model to estimate the strength of ILD association in SSc. Results. Thirty-three (42.31%) patients showed ILD on HRCT. DLco, M-Borg, GERD-Q and capillary density were significantly associated with the presence of ILD-SSc. A model including these variables had a coefficient of determination (R2) of 0.697. DLco had an AUC of 0.861 (p < 0.001) with a cut-off of ≤72.3% (sensitivity 78.8%, specificity 91.1%, +LR 8.86). The m-Borg Scale showed an AUC of 0.883 (p < 0.001) with a cut-off >2 (sensitivity 84.8%, specificity 82.2%, +LR 4.77), GERD-Q had an AUC of 0.815 (p < 0.001) with a cut-off >7 (sensitivity 72.7%, specificity 86.7%, +LR 5.45). The capillary density showed an AUC of 0.815 (p < 0.001) with a cut-off of ≤4.78 (sensitivity 87.9%, specificity 68.9%, +LR 2.82). Based on the pre-test probability values, these four variables were applied to Fagan’s nomogram to calculate the post-test probability of this association. Conclusions. Our study identified four associated clinical factors of ILD in SSc patients. Moreover, their inclusion in an algorithm for the post-test probability, tailored to the specific patients’ characteristics, significantly increases the ability to find out the presence of SSc-ILD. Full article
(This article belongs to the Special Issue Personalized Medicine for Rheumatic Diseases)
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