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

被引:2
作者
Motta, Francesca [1 ,2 ]
Morandini, Pierandrea [3 ]
Maffia, Fiore [3 ]
Vecellio, Matteo [2 ,4 ,5 ]
Tonutti, Antonio [1 ,2 ]
De Santis, Maria [1 ,2 ]
Costanzo, Antonio [1 ,6 ]
Puggioni, Francesca [7 ]
Savevski, Victor [3 ]
Selmi, Carlo [1 ,2 ]
机构
[1] Humanitas Univ, Dept Biomed Sci, Milan, Italy
[2] IRCCS Humanitas Res Hosp, Div Rheumatol & Clin Immunol, Milan, Italy
[3] IRCCS Humanitas Res Hosp, Artificial Intelligence Ctr, Milan, Italy
[4] Univ Oxford, Wellcome Ctr Human Genet, Oxford, England
[5] Fdn Pisana Sci ONLUS, Ctr Ric Fdn Italiana Ric Artrite FIRA, Milan, Italy
[6] IRCCS Humanitas Res Hosp, Div Dermatol, Milan, Italy
[7] IRCCS Humanitas Res Hosp, Div Asthma Allergy & Personalized Med, Milan, Italy
关键词
artificial intelligence; rheumatology; inflammatory arthritis; electronic medical record (EMR); psoriatic arthritis; ARTIFICIAL-INTELLIGENCE; EUROGUIDERM GUIDELINE; SYSTEMIC TREATMENT; MANAGEMENT; RECOMMENDATIONS; VULGARIS; CARE;
D O I
10.3389/fmed.2023.1179240
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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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页数:9
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