<p>In systemic lupus erythematosus (SLE), treatment decisions are guided by clinical judgment based on disease manifestations and safety profiles rather than standardized protocols, particularly for extra-renal involvement. In this study of 356 SLE patients, 190 receiving non-biologic immunosuppressants and 166 receiving biologics, we investigated the association of clinical phenotypes with treatment initiation and the impact of damage (SLICC-DI), comorbidities, and hospitalization history on these choices. Dominant clinical phenotypes were defined qualitatively using BILAG and SLEDAI domains. Logistic regression models with Simes-Hochberg correction revealed that renal phenotypes were strongly associated with mycophenolate initiation (OR = 4.09, <i>p</i> &lt; 0.001), musculoskeletal phenotypes with methotrexate (OR = 4.86, <i>p</i> &lt; 0.001). Belimumab was preferentially initiated in patients with musculoskeletal involvement and high SLEDAI scores (OR = 1.84, <i>p</i> = 0.03; OR = 2.03, <i>p</i> = 0.03, respectively). Notably, the association between mycophenolate and the renal phenotype persisted in the presence of comorbidities but was not observed in patients with SLICC-DI &gt; 0 or more than one hospitalization in the previous year. Similarly, methotrexate and belimumab associations were diminished in patients with a Charlson comorbidity index &gt; 1 or damage (SLICC-DI &gt; 0). This study offers novel insights into the clinical determinants of immunosuppressive therapy selection in SLE and underscore the potential for tailoring treatment strategies to individual patient profiles.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Factors influencing the choice of non-biologic versus biologic immunosuppressive therapy in systemic lupus erythematosus

  • Alessandra Bortoluzzi,
  • Antonio Marangoni,
  • Ettore Silvagni,
  • Davide Rozza,
  • Elena Bartoloni,
  • Jelena Blagojevic,
  • Francesca Bobbio Pallavicini,
  • Enrica Bozzolo,
  • Valentina Canti,
  • Lorenzo Cavagna,
  • Ilaria Cavazzana,
  • Laura Coladonato,
  • Paola Conigliaro,
  • Francesca Crisafulli,
  • Maria Chiara Ditto,
  • Giacomo Emmi,
  • Sara Ferrigno,
  • Franco Franceschini,
  • Micol Frassi,
  • Carlo Garaffoni,
  • Maria Gerosa,
  • Marcello Govoni,
  • Serena Guiducci,
  • Luca Iaccarino,
  • Angelo Manfredi,
  • Silvia Mancuso,
  • Marta Mosca,
  • Caterina Naclerio,
  • Valeria Orefice,
  • Simone Parisi,
  • Giulia Pazzola,
  • Giorgio Pettiti,
  • Immacolata Prevete,
  • Giuseppe Alvise Ramirez,
  • Chiara Scirocco,
  • Francesca Romana Spinelli,
  • Margherita Zen,
  • Greta Carrara,
  • Carlo Alberto Scirè,
  • Fabrizio Conti,
  • Andrea Doria,
  • Gian Domenico Sebastiani

摘要

In systemic lupus erythematosus (SLE), treatment decisions are guided by clinical judgment based on disease manifestations and safety profiles rather than standardized protocols, particularly for extra-renal involvement. In this study of 356 SLE patients, 190 receiving non-biologic immunosuppressants and 166 receiving biologics, we investigated the association of clinical phenotypes with treatment initiation and the impact of damage (SLICC-DI), comorbidities, and hospitalization history on these choices. Dominant clinical phenotypes were defined qualitatively using BILAG and SLEDAI domains. Logistic regression models with Simes-Hochberg correction revealed that renal phenotypes were strongly associated with mycophenolate initiation (OR = 4.09, p < 0.001), musculoskeletal phenotypes with methotrexate (OR = 4.86, p < 0.001). Belimumab was preferentially initiated in patients with musculoskeletal involvement and high SLEDAI scores (OR = 1.84, p = 0.03; OR = 2.03, p = 0.03, respectively). Notably, the association between mycophenolate and the renal phenotype persisted in the presence of comorbidities but was not observed in patients with SLICC-DI > 0 or more than one hospitalization in the previous year. Similarly, methotrexate and belimumab associations were diminished in patients with a Charlson comorbidity index > 1 or damage (SLICC-DI > 0). This study offers novel insights into the clinical determinants of immunosuppressive therapy selection in SLE and underscore the potential for tailoring treatment strategies to individual patient profiles.