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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.
Motta, Francesca; Morandini, Pierandrea; Maffia, Fiore; Vecellio, Matteo; Tonutti, Antonio; De Santis, Maria; Costanzo, Antonio; Puggioni, Francesca; Savevski, Victor; Selmi, Carlo.
Afiliación
  • Motta F; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
  • Morandini P; Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
  • Maffia F; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
  • Vecellio M; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
  • Tonutti A; Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
  • De Santis M; Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
  • Costanzo A; Centro Ricerche Fondazione Italiana Ricerca Sull'Artrite (FIRA), Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme (Pisa), Milan, Italy.
  • Puggioni F; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
  • Savevski V; Division of Rheumatology and Clinical Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
  • Selmi C; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Front Med (Lausanne) ; 10: 1179240, 2023.
Article en En | MEDLINE | ID: mdl-37387783
Background: 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: 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: 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; 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. Conclusion: Patients 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Med (Lausanne) Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Med (Lausanne) Año: 2023 Tipo del documento: Article País de afiliación: Italia