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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Frontiers Media S.A.
2023-06-01
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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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institution | Directory Open Access Journal |
issn | 2296-858X |
language | English |
last_indexed | 2024-03-13T05:37:15Z |
publishDate | 2023-06-01 |
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series | Frontiers in Medicine |
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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