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<title>Characteristics associated with the perception of high-impact disease (PsAID ≥4) in patients with recent-onset psoriatic arthritis. Machine learning-based model</title>
<creator>Queiro, Rubén</creator>
<creator>Seoane-Mato, Daniel</creator>
<creator>Laiz, Ana</creator>
<creator>Galíndez Agirregoikoa, Eva</creator>
<creator>Montilla Morales, Carlos Alberto</creator>
<creator>Park, Hye-Sang</creator>
<creator>Pinto-Tasende, José A.</creator>
<creator>Baute, Juan J. Bethencourt</creator>
<creator>Ibáñez, Beatriz Joven</creator>
<creator>Toniolo, Elide</creator>
<creator>Ramírez, Julio</creator>
<creator>Serrano García, Ana</creator>
<subject>Arthritis Psoriatic</subject>
<subject>Quality of life</subject>
<subject>Predictive model Machine learning</subject>
<description>[EN]To evaluate which patient and disease characteristics are associated with the perception of high-impact disease (PsAID ≥4) in recent-onset psoriatic arthritis.&#xd;
We performed a multicenter observational prospective study (2-year follow-up, regular annual visits). The study population comprised patients aged ≥18 years who fulfilled the CASPAR criteria and less than 2 years since the onset of symptoms. The dataset was generated using data for each patient at the 3 visits (baseline, first year, and second year of follow-up) matched with the PsAID values at each of the 3 visits. PsAID was categorized into two groups (&lt;4 and ≥4). We trained a logistic regression model and random forest-type and XGBoost machine learning algorithms to analyze the association between the outcome measure and the variables selected in the bivariate analysis. A k-fold cross-validation with k = 5 was performed.&#xd;
The sample comprised 158 patients. Of the patients who attended the clinic, 45.8% scored PsAID ≥4 at baseline; 27.1%, at the first follow-up visit, and in 23.0%, at the second follow-up visit. The variables associated with PsAID ≥4 were, in decreasing order of importance: HAQ, pain, educational level, and physical activity. Higher HAQ (logistic regression coefficient 10.394; IC95% 7.777,13.011), higher pain (5.668; 4.016, 7.320), lower educational level (-2.064; -3.515, -0.613) and high level of physical activity (1.221; 0.158, 2.283) were associated with a higher frequency of PsAID ≥4. The mean values of the measures of validity of the algorithms were all ≥85%.&#xd;
Despite the higher weight given to pain when scoring PsAID, we observed a greater influence of physical function on disease impact.</description>
<date>2025-01-20</date>
<date>2025-01-20</date>
<date>2022-12</date>
<type>info:eu-repo/semantics/article</type>
<identifier>Queiro, R., Seoane-Mato, D., Laiz, A., Agirregoikoa, E. G., Montilla, C., Park, H.-S., Pinto-Tasende, J. A., Baute, J. J. B., Ibáñez, B. J., Toniolo, E., Ramírez, J., &amp; García, A. S. (2022). Characteristics associated with the perception of high-impact disease (PsAID ≥4) in patients with recent-onset psoriatic arthritis. Machine learning-based model. Seminars in Arthritis and Rheumatism, 57. https://doi.org/10.1016/J.SEMARTHRIT.2022.152097</identifier>
<identifier>0049-0172</identifier>
<identifier>http://hdl.handle.net/10366/161978</identifier>
<identifier>10.1016/J.SEMARTHRIT.2022.152097</identifier>
<identifier>36113222</identifier>
<identifier>1532-866X</identifier>
<language>eng</language>
<relation>https://doi.org/10.1016/J.SEMARTHRIT.2022.152097</relation>
<rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</rights>
<publisher>Elsevier</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>