Pablo Rodriguez-Merlos, Jose Luis Cabrera-Alarcón, Virginia Ruiz-Esquide, Chafik Alejandro Chacur, Raimon Sanmartí, Eugenio De Miguel-Mendieta, Jose María Álvaro-Gracia, Alejandro Balsa, Chamaida Plasencia-Rodríguez, Marta Novella-Navarro
{"title":"早发难治性类风湿关节炎:数据驱动预测因子和时间阈值的建议","authors":"Pablo Rodriguez-Merlos, Jose Luis Cabrera-Alarcón, Virginia Ruiz-Esquide, Chafik Alejandro Chacur, Raimon Sanmartí, Eugenio De Miguel-Mendieta, Jose María Álvaro-Gracia, Alejandro Balsa, Chamaida Plasencia-Rodríguez, Marta Novella-Navarro","doi":"10.1186/s13075-025-03621-9","DOIUrl":null,"url":null,"abstract":"While risk factors for difficult-to-treat rheumatoid arthritis (D2TRA) have been studied in recent years, no studies have determined if there are differences between early and late developers of D2TRA. This study investigates whether patients can be classified by time to D2TRA development and examines risk factors for earlier onset. Observational study involving D2TRA patients whose reason for switching b/tsDMARD therapy was inefficacy (D2TRA-Inneficacy). Demographic data, comorbidities and disease characteristics, acute phase reactants and Disease Activity Score-28 [DAS28-ESR]) at baseline and 6 months after initiation of the first b/tsDMARD, and duration of each treatment were recorded. Using LASSO (Least Absolute Shrinkage and Selection Operator) Cox-regression feature-selection strategy, we identified those factors influencing the time to D2TRA-Inneficacy. DBSCAN clustering was conducted to identify subgroups based on time to D2TRA. Finally, we used ROC and Precision-Recall curves in tandem with the Youden index to establish a cutoff point for differentiating early and late-D2TRA. Of the 131 patients with D2TRA, 96 (72.7%) were classified as D2TRA-inefficacy. The variables presence of anxiety-depressive syndrome (ADS) at first b/tsDMARD, CRP at 6 months after starting the first b/tsDMARD and age at disease diagnosis were selected based on their contracted scores from the LASSO Cox-regression model, following the criterion of minimizing the cross-validated error. DBSCAN clustering based on selected variables identified three clusters. These clusters, differentiated by time to D2TRA, classified patients into early and late D2TRA groups. Finally, an optimal cut-off point of 44.5 months was determined using the Youden index to distinguish between the two groups. In our cohort, the cut-off time for defining early developers of D2TRA-inefficacy was 44.5 months. The presence of ADS diagnosis, a higher CRP 6 months after the first b/tsDMARD, and being older at diagnosis were predictors of early development of D2TRA.","PeriodicalId":8419,"journal":{"name":"Arthritis Research & Therapy","volume":"109 1","pages":"153"},"PeriodicalIF":4.6000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Early-onset difficult-to-treat rheumatoid arthritis: proposal of data-driven predictors and temporal threshold\",\"authors\":\"Pablo Rodriguez-Merlos, Jose Luis Cabrera-Alarcón, Virginia Ruiz-Esquide, Chafik Alejandro Chacur, Raimon Sanmartí, Eugenio De Miguel-Mendieta, Jose María Álvaro-Gracia, Alejandro Balsa, Chamaida Plasencia-Rodríguez, Marta Novella-Navarro\",\"doi\":\"10.1186/s13075-025-03621-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While risk factors for difficult-to-treat rheumatoid arthritis (D2TRA) have been studied in recent years, no studies have determined if there are differences between early and late developers of D2TRA. This study investigates whether patients can be classified by time to D2TRA development and examines risk factors for earlier onset. Observational study involving D2TRA patients whose reason for switching b/tsDMARD therapy was inefficacy (D2TRA-Inneficacy). Demographic data, comorbidities and disease characteristics, acute phase reactants and Disease Activity Score-28 [DAS28-ESR]) at baseline and 6 months after initiation of the first b/tsDMARD, and duration of each treatment were recorded. Using LASSO (Least Absolute Shrinkage and Selection Operator) Cox-regression feature-selection strategy, we identified those factors influencing the time to D2TRA-Inneficacy. DBSCAN clustering was conducted to identify subgroups based on time to D2TRA. Finally, we used ROC and Precision-Recall curves in tandem with the Youden index to establish a cutoff point for differentiating early and late-D2TRA. Of the 131 patients with D2TRA, 96 (72.7%) were classified as D2TRA-inefficacy. The variables presence of anxiety-depressive syndrome (ADS) at first b/tsDMARD, CRP at 6 months after starting the first b/tsDMARD and age at disease diagnosis were selected based on their contracted scores from the LASSO Cox-regression model, following the criterion of minimizing the cross-validated error. DBSCAN clustering based on selected variables identified three clusters. These clusters, differentiated by time to D2TRA, classified patients into early and late D2TRA groups. Finally, an optimal cut-off point of 44.5 months was determined using the Youden index to distinguish between the two groups. In our cohort, the cut-off time for defining early developers of D2TRA-inefficacy was 44.5 months. The presence of ADS diagnosis, a higher CRP 6 months after the first b/tsDMARD, and being older at diagnosis were predictors of early development of D2TRA.\",\"PeriodicalId\":8419,\"journal\":{\"name\":\"Arthritis Research & Therapy\",\"volume\":\"109 1\",\"pages\":\"153\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arthritis Research & Therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s13075-025-03621-9\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arthritis Research & Therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13075-025-03621-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
Early-onset difficult-to-treat rheumatoid arthritis: proposal of data-driven predictors and temporal threshold
While risk factors for difficult-to-treat rheumatoid arthritis (D2TRA) have been studied in recent years, no studies have determined if there are differences between early and late developers of D2TRA. This study investigates whether patients can be classified by time to D2TRA development and examines risk factors for earlier onset. Observational study involving D2TRA patients whose reason for switching b/tsDMARD therapy was inefficacy (D2TRA-Inneficacy). Demographic data, comorbidities and disease characteristics, acute phase reactants and Disease Activity Score-28 [DAS28-ESR]) at baseline and 6 months after initiation of the first b/tsDMARD, and duration of each treatment were recorded. Using LASSO (Least Absolute Shrinkage and Selection Operator) Cox-regression feature-selection strategy, we identified those factors influencing the time to D2TRA-Inneficacy. DBSCAN clustering was conducted to identify subgroups based on time to D2TRA. Finally, we used ROC and Precision-Recall curves in tandem with the Youden index to establish a cutoff point for differentiating early and late-D2TRA. Of the 131 patients with D2TRA, 96 (72.7%) were classified as D2TRA-inefficacy. The variables presence of anxiety-depressive syndrome (ADS) at first b/tsDMARD, CRP at 6 months after starting the first b/tsDMARD and age at disease diagnosis were selected based on their contracted scores from the LASSO Cox-regression model, following the criterion of minimizing the cross-validated error. DBSCAN clustering based on selected variables identified three clusters. These clusters, differentiated by time to D2TRA, classified patients into early and late D2TRA groups. Finally, an optimal cut-off point of 44.5 months was determined using the Youden index to distinguish between the two groups. In our cohort, the cut-off time for defining early developers of D2TRA-inefficacy was 44.5 months. The presence of ADS diagnosis, a higher CRP 6 months after the first b/tsDMARD, and being older at diagnosis were predictors of early development of D2TRA.
期刊介绍:
Established in 1999, Arthritis Research and Therapy is an international, open access, peer-reviewed journal, publishing original articles in the area of musculoskeletal research and therapy as well as, reviews, commentaries and reports. A major focus of the journal is on the immunologic processes leading to inflammation, damage and repair as they relate to autoimmune rheumatic and musculoskeletal conditions, and which inform the translation of this knowledge into advances in clinical care. Original basic, translational and clinical research is considered for publication along with results of early and late phase therapeutic trials, especially as they pertain to the underpinning science that informs clinical observations in interventional studies.