Socioeconomic and behavioral associations with biologic therapy outcomes in rheumatoid arthritis: a prospective cohort study

Abstract Objective To evaluate whether socioeconomic factors, psychological distress, and medication adherence are independently associated with 12‑month remission and biologic persistence in RA patients receiving biologic therapy. Methods This prospective cohort study enrolled 135 patients with moderate‑to‑severe RA (84.4% female; mean age 47.2 years) initiating or continuing biologic therapy. Baseline assessments included socioeconomic status (residence, income, and education); clinical measures (DAS28-CRP, HAQ-DI, and CRP); psychological status (PHQ-9 and PSS-10); medication adherence (MMAS-8); smoking; and physical activity. Treatment status at baseline (new initiation vs. continuation) was recorded as a covariate. The primary outcome was 12‑month DAS28‑CRP remission (< 2.6); the secondary outcome was biologic drug survival at 12 months, defined as the continued use of any biologic agent without treatment discontinuation, allowing switches between different biologic agents. Multivariable logistic regression and Kaplan‑Meier analyses were performed. Results At 12 months, 57.8% ( n = 78) achieved remission, and 83.7% ( n = 113) demonstrated biologic drug survival (71.9% continued initial therapy; 11.9% switched; 16.3% discontinued). In multivariable analysis adjusted for disease activity and treatment type, higher baseline adherence was independently associated with remission (OR 2.44 per MMAS point; 95% CI 1.71–3.48; p < 0.001), alongside urban residence (OR 4.14; 95% CI 1.49–11.51; p = 0.006). Conversely, current/former smoking (OR 0.16; 95% CI 0.05–0.52; p = 0.002), higher baseline DAS28 (OR 0.22; 95% CI 0.09–0.56; p = 0.002), and depressive symptoms (OR 0.76 per PHQ‑9 point; 95% CI 0.65–0.89; p < 0.001) were associated with significantly lower remission odds. Drug survival was 98.0% in high adherers versus 62.0% in low adherers (log‑rank p < 0.001). Conclusion In this RA cohort, socioeconomic deprivation, poor baseline adherence, smoking, and depression were independently associated with poor biologic outcomes, with effect sizes comparable to those of traditional clinical markers. Biologic drug survival was substantially superior among patients with good adherence compared with those with poor adherence.

Authors

Institutions

Publication Details

Journal
Egyptian Rheumatology and Rehabilitation
Published
2026-10-05
DOI
https://doi.org/10.1186/s43166-026-00457-2
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Socioeconomic and behavioral associations with biologic therapy outcomes in rheumatoid arthritis: a prospective cohort study

Абдимуталиб Мамасаидов, Kyiazbek Sakibaev, Salieva Rana Sherbaevna, G. Kulchinova et al.
Egyptian Rheumatology and Rehabilitation
Rheumatoid Arthritis Research and Therapies
article

Socioeconomic and behavioral associations with biologic therapy outcomes in rheumatoid arthritis: a prospective cohort study

Абдимуталиб Мамасаидов, Kyiazbek Sakibaev, Salieva Rana Sherbaevna, G. Kulchinova, Nair Amegha, Taalaibek Kyzy Gulburak, Symbat Zhumabaeva, Ulanbek Isakov, Askar Irisov
article en

Abstract

Abstract Objective To evaluate whether socioeconomic factors, psychological distress, and medication adherence are independently associated with 12‑month remission and biologic persistence in RA patients receiving biologic therapy. Methods This prospective cohort study enrolled 135 patients with moderate‑to‑severe RA (84.4% female; mean age 47.2 years) initiating or continuing biologic therapy. Baseline assessments included socioeconomic status (residence, income, and education); clinical measures (DAS28-CRP, HAQ-DI, and CRP); psychological status (PHQ-9 and PSS-10); medication adherence (MMAS-8); smoking; and physical activity. Treatment status at baseline (new initiation vs. continuation) was recorded as a covariate. The primary outcome was 12‑month DAS28‑CRP remission (< 2.6); the secondary outcome was biologic drug survival at 12 months, defined as the continued use of any biologic agent without treatment discontinuation, allowing switches between different biologic agents. Multivariable logistic regression and Kaplan‑Meier analyses were performed. Results At 12 months, 57.8% ( n = 78) achieved remission, and 83.7% ( n = 113) demonstrated biologic drug survival (71.9% continued initial therapy; 11.9% switched; 16.3% discontinued). In multivariable analysis adjusted for disease activity and treatment type, higher baseline adherence was independently associated with remission (OR 2.44 per MMAS point; 95% CI 1.71–3.48; p < 0.001), alongside urban residence (OR 4.14; 95% CI 1.49–11.51; p = 0.006). Conversely, current/former smoking (OR 0.16; 95% CI 0.05–0.52; p = 0.002), higher baseline DAS28 (OR 0.22; 95% CI 0.09–0.56; p = 0.002), and depressive symptoms (OR 0.76 per PHQ‑9 point; 95% CI 0.65–0.89; p < 0.001) were associated with significantly lower remission odds. Drug survival was 98.0% in high adherers versus 62.0% in low adherers (log‑rank p < 0.001). Conclusion In this RA cohort, socioeconomic deprivation, poor baseline adherence, smoking, and depression were independently associated with poor biologic outcomes, with effect sizes comparable to those of traditional clinical markers. Biologic drug survival was substantially superior among patients with good adherence compared with those with poor adherence.

Egyptian Rheumatology and RehabilitationVol. 53(1)
Kyrgyz State Medical Academy (KG), Osh State University (KG)
Openalex Percentile: Top 11%
Rheumatoid Arthritis Research and Therapies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.