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.

artificial intelligence electronic medical record (EMR) inflammatory arthritis psoriatic arthritis rheumatology

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2023
Historique:
received: 03 03 2023
accepted: 15 05 2023
medline: 30 6 2023
pubmed: 30 6 2023
entrez: 30 6 2023
Statut: epublish

Résumé

The 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. We 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. We 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; Patients with RA, PsA, or psoriasis undergoing multiple evaluations are more likely to receive innovative treatments or glucocorticoids, possibly reflecting more complex cases.

Sections du résumé

Background UNASSIGNED
The 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.
Methods UNASSIGNED
We 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.
Results UNASSIGNED
We 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;
Conclusion UNASSIGNED
Patients with RA, PsA, or psoriasis undergoing multiple evaluations are more likely to receive innovative treatments or glucocorticoids, possibly reflecting more complex cases.

Identifiants

pubmed: 37387783
doi: 10.3389/fmed.2023.1179240
pmc: PMC10301822
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1179240

Informations de copyright

Copyright © 2023 Motta, Morandini, Maffia, Vecellio, Tonutti, De Santis, Costanzo, Puggioni, Savevski and Selmi.

Déclaration de conflit d'intérêts

FP received reimbursements for lectures, presentations, speakers bureaus, and manuscript writing or educational events from AstraZeneca, Mundipharma, Menarini, Almirall, Chiesi, Valeas, Malesci Guidotti, Boehringer Ingelheim, Sanofi, GSK, Novartis, Stallergenes-Greer. CS received fees for consulting/speakers (AbbVie, Amgen, Alfa-Sigma, Biogen, Eli-Lilly, Galapagos, Janssen, Novartis, Pfizer, SOBI) and Research support (AbbVie, Amgen, Pfizer). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Ann Rheum Dis. 2021 Jan;80(1):31-35
pubmed: 33004335
Rheumatol Int. 2016 Nov;36(11):1525-1534
pubmed: 27538838
J Eur Acad Dermatol Venereol. 2021 Feb;35(2):281-317
pubmed: 33547728
Rheumatol Int. 2015 Nov;35(11):1851-5
pubmed: 26238094
Adv Ther. 2019 Apr;36(4):806-816
pubmed: 30805821
Aust J Gen Pract. 2019 Apr;48(4):188-192
pubmed: 31256487
Lancet. 2016 Oct 22;388(10055):2023-2038
pubmed: 27156434
Knowl Inf Syst. 2023;65(2):463-516
pubmed: 36405956
NPJ Digit Med. 2022 Apr 8;5(1):46
pubmed: 35396451
Rheumatology (Oxford). 2020 Jul 1;59(7):1767-1769
pubmed: 31990342
Front Immunol. 2022 Mar 10;13:847312
pubmed: 35359924
JAMIA Open. 2023 Apr 18;6(2):ooad024
pubmed: 37081945
Nat Rev Rheumatol. 2020 Sep;16(9):525-535
pubmed: 32709998
J Eur Acad Dermatol Venereol. 2020 Nov;34(11):2461-2498
pubmed: 33349983
Ann Rheum Dis. 2011 Jun;70(6):891-5
pubmed: 21478190
Rheumatol Int. 2016 Feb;36(2):221-9
pubmed: 26438388
Lancet. 2017 Jun 10;389(10086):2338-2348
pubmed: 28612748
Rheumatol Int. 2016 Mar;36(3):311-24
pubmed: 26563338
Ann Rheum Dis. 2023 Jan;82(1):3-18
pubmed: 36357155
NPJ Digit Med. 2020 May 14;3:69
pubmed: 32435697
N Engl J Med. 2017 Mar 9;376(10):957-970
pubmed: 28273019
Heliyon. 2023 Mar 24;9(4):e14793
pubmed: 37025805
Clin Transl Allergy. 2022 Jun 08;12(6):e12144
pubmed: 35702725
Rheumatol Ther. 2022 Oct;9(5):1249-1304
pubmed: 35849321
Cells. 2021 Oct 23;10(11):
pubmed: 34831081
Arthritis Rheumatol. 2016 May;68(5):1060-71
pubmed: 26749174
Rheumatology (Oxford). 2019 Nov 1;58(11):1894-1895
pubmed: 31168589
Lancet. 2015 Dec 19;386(10012):2489-98
pubmed: 26433318
Nat Rev Rheumatol. 2022 Jun;18(6):311-325
pubmed: 35513599
Ann Rheum Dis. 2020 Jun;79(6):685-699
pubmed: 31969328
J Am Acad Dermatol. 2020 Jun;82(6):1445-1486
pubmed: 32119894
Nat Rev Rheumatol. 2021 Dec;17(12):710-730
pubmed: 34728818
Arthritis Care Res (Hoboken). 2023 Feb;75(2):220-230
pubmed: 35588095
Ann Rheum Dis. 2020 Jun;79(6):700-712
pubmed: 32434812

Auteurs

Francesca Motta (F)

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Pierandrea Morandini (P)

Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Fiore Maffia (F)

Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Matteo Vecellio (M)

Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
Centro Ricerche Fondazione Italiana Ricerca Sull'Artrite (FIRA), Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme (Pisa), Milan, Italy.

Antonio Tonutti (A)

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Maria De Santis (M)

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Antonio Costanzo (A)

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Division of Dermatology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Francesca Puggioni (F)

Division of Asthma, Allergy and Personalized Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Victor Savevski (V)

Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Carlo Selmi (C)

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.

Classifications MeSH