Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis

BackgroundThe impact of a multidisciplinary management of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and psoriasis on systemic glucocorticoids or innovative treatments remains unknown. Rule-based natural language processing and text extraction help to manage large datasets of unstructured...

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Main Authors: Francesca Motta, Pierandrea Morandini, Fiore Maffia, Matteo Vecellio, Antonio Tonutti, Maria De Santis, Antonio Costanzo, Francesca Puggioni, Victor Savevski, Carlo Selmi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1179240/full
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author Francesca Motta
Francesca Motta
Pierandrea Morandini
Fiore Maffia
Matteo Vecellio
Matteo Vecellio
Matteo Vecellio
Antonio Tonutti
Antonio Tonutti
Maria De Santis
Maria De Santis
Antonio Costanzo
Antonio Costanzo
Francesca Puggioni
Victor Savevski
Carlo Selmi
Carlo Selmi
author_facet Francesca Motta
Francesca Motta
Pierandrea Morandini
Fiore Maffia
Matteo Vecellio
Matteo Vecellio
Matteo Vecellio
Antonio Tonutti
Antonio Tonutti
Maria De Santis
Maria De Santis
Antonio Costanzo
Antonio Costanzo
Francesca Puggioni
Victor Savevski
Carlo Selmi
Carlo Selmi
author_sort Francesca Motta
collection DOAJ
description BackgroundThe impact of a multidisciplinary management of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and psoriasis on systemic glucocorticoids or innovative treatments remains unknown. Rule-based natural language processing and text extraction help to manage large datasets of unstructured information and provide insights into the profile of treatment choices.MethodsWe obtained structured information from text data of outpatient visits between 2017 and 2022 using regular expressions (RegEx) to define elastic search patterns and to consider only affirmative citation of diseases or prescribed therapy by detecting negations. Care processes were described by binary flags which express the presence of RA, PsA and psoriasis and the prescription of glucocorticoids and biologics or small molecules in each cases. Logistic regression analyses were used to train the classifier to predict outcomes using the number of visits and the other specialist visits as the main variables.ResultsWe identified 1743 patients with RA, 1359 with PsA and 2,287 with psoriasis, accounting for 5,677, 4,468 and 7,770 outpatient visits, respectively. Among these, 25% of RA, 32% of PsA and 25% of psoriasis cases received biologics or small molecules, while 49% of RA, 28% of PsA, and 40% of psoriasis cases received glucocorticoids. Patients evaluated also by other specialists were treated more frequently with glucocorticoids (70% vs. 49% for RA, 60% vs. 28% for PsA, 51% vs. 40% for psoriasis; p < 0.001) as well as with biologics/small molecules (49% vs. 25% for RA, 64% vs. 32% in PsA; 51% vs. 25% for psoriasis; p < 0.001) compared to cases seen only by the main specialist.ConclusionPatients with RA, PsA, or psoriasis undergoing multiple evaluations are more likely to receive innovative treatments or glucocorticoids, possibly reflecting more complex cases.
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spelling doaj.art-220ba9b614474d0ebea24bbbb20347162023-06-14T05:30:34ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-06-011010.3389/fmed.2023.11792401179240Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasisFrancesca Motta0Francesca Motta1Pierandrea Morandini2Fiore Maffia3Matteo Vecellio4Matteo Vecellio5Matteo Vecellio6Antonio Tonutti7Antonio Tonutti8Maria De Santis9Maria De Santis10Antonio Costanzo11Antonio Costanzo12Francesca Puggioni13Victor Savevski14Carlo Selmi15Carlo Selmi16Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, ItalyDivision of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyArtificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyArtificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyDivision of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyWellcome Centre for Human Genetics, University of Oxford, Oxford, United KingdomCentro Ricerche Fondazione Italiana Ricerca Sull'Artrite (FIRA), Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme (Pisa), Milan, ItalyDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, ItalyDivision of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, ItalyDivision of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, ItalyDivision of Dermatology, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyDivision of Asthma, Allergy and Personalized Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyArtificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, ItalyDivision of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, ItalyBackgroundThe impact of a multidisciplinary management of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and psoriasis on systemic glucocorticoids or innovative treatments remains unknown. Rule-based natural language processing and text extraction help to manage large datasets of unstructured information and provide insights into the profile of treatment choices.MethodsWe obtained structured information from text data of outpatient visits between 2017 and 2022 using regular expressions (RegEx) to define elastic search patterns and to consider only affirmative citation of diseases or prescribed therapy by detecting negations. Care processes were described by binary flags which express the presence of RA, PsA and psoriasis and the prescription of glucocorticoids and biologics or small molecules in each cases. Logistic regression analyses were used to train the classifier to predict outcomes using the number of visits and the other specialist visits as the main variables.ResultsWe identified 1743 patients with RA, 1359 with PsA and 2,287 with psoriasis, accounting for 5,677, 4,468 and 7,770 outpatient visits, respectively. Among these, 25% of RA, 32% of PsA and 25% of psoriasis cases received biologics or small molecules, while 49% of RA, 28% of PsA, and 40% of psoriasis cases received glucocorticoids. Patients evaluated also by other specialists were treated more frequently with glucocorticoids (70% vs. 49% for RA, 60% vs. 28% for PsA, 51% vs. 40% for psoriasis; p < 0.001) as well as with biologics/small molecules (49% vs. 25% for RA, 64% vs. 32% in PsA; 51% vs. 25% for psoriasis; p < 0.001) compared to cases seen only by the main specialist.ConclusionPatients with RA, PsA, or psoriasis undergoing multiple evaluations are more likely to receive innovative treatments or glucocorticoids, possibly reflecting more complex cases.https://www.frontiersin.org/articles/10.3389/fmed.2023.1179240/fullartificial intelligencerheumatologyinflammatory arthritiselectronic medical record (EMR)psoriatic arthritis
spellingShingle Francesca Motta
Francesca Motta
Pierandrea Morandini
Fiore Maffia
Matteo Vecellio
Matteo Vecellio
Matteo Vecellio
Antonio Tonutti
Antonio Tonutti
Maria De Santis
Maria De Santis
Antonio Costanzo
Antonio Costanzo
Francesca Puggioni
Victor Savevski
Carlo Selmi
Carlo Selmi
Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis
Frontiers in Medicine
artificial intelligence
rheumatology
inflammatory arthritis
electronic medical record (EMR)
psoriatic arthritis
title Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis
title_full Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis
title_fullStr Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis
title_full_unstemmed Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis
title_short Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis
title_sort connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule based natural language processing a real world study on patients with rheumatoid arthritis psoriatic arthritis and psoriasis
topic artificial intelligence
rheumatology
inflammatory arthritis
electronic medical record (EMR)
psoriatic arthritis
url https://www.frontiersin.org/articles/10.3389/fmed.2023.1179240/full
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