POS0230 DISAGREEMENT BETWEEN PATIENT AND PHYSICIAN GLOBAL ASSESSMENT OVER TIME IN PSORIATIC ARTHRITIS: INSIGHT INTO TREATMENT PRIORITIES

医学 内科学 逻辑回归 银屑病性关节炎 强直性脊柱炎 类风湿性关节炎
作者
P. Rahman,Laura C. Coates,Peter Nash,Atul Deodhar,F. Nantel,Emmanouil Rampakakis,Louis Bessette,M. Marrache,F. Lavie,M. Shawi,William Tillett
出处
期刊:Annals of the Rheumatic Diseases [BMJ]
卷期号:82: 345-346
标识
DOI:10.1136/annrheumdis-2023-eular.464
摘要

Background

The PsA core domain set developed by the Outcome Measures in Rheumatology working group includes musculoskeletal disease, fatigue, physical function, and structural damage, of which arthritis activity, pain, and fatigue were identified as essential by both patients (Pts) and physicians (Phs).[1-2] Assessing agreement between Pt and Ph global assessments (GA) may provide valuable insight into differential importance of specific PsA manifestations to Pts vs Phs. Although previous studies have assessed Pt/Ph disagreement, they have not evaluated potential variation over time.[3]

Objectives

To assess agreement of PtGA and PhGA through week (W) 24 and identify factors driving disagreement between PtGA and PhGA using pooled data (N=1120) from the phase 3 DISCOVER (D)-1 & -2 studies of the fully human IL-23p19 subunit inhibitor (i), guselkumab (GUS).

Methods

Pts with active PsA despite standard therapies (D1: ≥3 swollen/tender joint counts [SJC/TJC], CRP ≥0.3 mg/dL, ~30% with prior TNFi; D2: ≥5 SJC/TJC, CRP ≥0.6 mg/dL, biologic-naïve) were randomized 1:1:1 to GUS 100 mg every 4 weeks (Q4W); GUS 100 mg at W0, W4, Q8W; or placebo. Pt/Ph agreement was defined as a difference of -15<PhGA-PtGA<15. Determinants of PhGA exceeding PtGA by ≥15 (PhGA>PtGA) and PtGA exceeding PhGA by ≥15 (PtGA>PhGA) among pts with PtGA/PhGA disagreement were assessed with the same logistic regression model considering pt demographics, disease characteristics, and pt-reported outcomes (PROs). The effect of GUS on disease parameters identified as determinants of PtGA vs. PhGA disagreement was assessed with repeated measures mixed models adjusting for treatment group, baseline (BL) levels, prior TNFi use, and BL DMARD use.

Results

At BL, mean (SD) SJC=11.5 (7.4), TJC=20.6 (13.3), FACIT-Fatigue score=29.9 (10.0), PtGA=66.9 (19.9), and PhGA=64.8 (15.9) were consistent with moderate to high disease activity. Agreement between PtGA and PhGA was seen in most instances (61.2%); 23.2% of cases were characterized by PtGA>PhGA and 15.7% by PhGA>PtGA. The proportion of pts with PtGA>PhGA increased to 39.1% at W24, while that with PhGA>PtGA decreased to 11.2%. The main determinant of PtGA>PhGA was higher Pt Pain (all time points); additional factors included worse physical health-related quality of life at BL and worse fatigue at W24 (Table 1). Conversely, Phs emphasized objective disease measures, namely higher SJC (all time points) and TJC (W8 to W24), and elevated CRP (BL to W16). GUS treatment was associated with prompt and sustained significant improvements in all identified determinants, including those driving PtGA>PhGA (Figure 1).

Conclusion

PtGA and PhGA were aligned in most encounters. PtGA>PhGA disagreement was driven by pain, fatigue, and physical health being weighed more by Pts than Phs. These findings have important implications in shared decision making and highlight the need to prioritize treatments addressing the full spectrum of PsA symptoms, including PROs.

References

[1]Leung YY, et al. J Rheum. 2020 (Suppl);96:46 [2]Mease PJ, et al. Ann Rheum Dis. 2022;81:879 [3]Desthieux C, et al. Arthritis Care Res. 2017;69:1606

Acknowledgements:

NIL.

Disclosure of Interests

Proton Rahman Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Grant/research support from: Janssen and Novartis, Laura Coates Speakers bureau: AbbVie, Amgen, Biogen, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Medac, Novartis, Pfizer and UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Gilead, Galapagos, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Peter Nash Grant/research support from: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, Pfizer, Novartis, Roche, Sandoz, and Sun Pharmaceutical Industries, Atul Deodhar Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Aurinia, Bristol Myers Squibb, Celgene, Eli Lilly, GlaxoSmithKline, Janssen, MoonLake, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, GlaxoSmithKline, Novartis, Pfizer, and UCB, Francois Nantel Shareholder of: Johnson & Johnson, Consultant of: Janssen, Emmanouil Rampakakis Consultant of: Janssen, Employee of: JSS Medical Research, Louis Bessette Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Fresenius Kabi, Janssen, MSD, Novartis, Pfizer, Sandoz, Sanofi, Teva, and UCB, Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Fresenius Kabi, Gilead, Janssen, MSD, Novartis, Pfizer, Sandoz, Sanofi, Teva, and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Sanofi, and UCBA, Marilise Marrache Shareholder of: Johnson & Johnson, Employee of: Janssen Inc., Toronto, Canada, Frederic Lavie Shareholder of: Johnson & Johnson, Employee of: Immunology Global Medical Affairs, Janssen Pharmaceutical Companies of Johnson & Johnson, May Shawi Shareholder of: Johnson & Johnson, Employee of: Immunology Global Medical Affairs, Janssen Pharmaceutical Companies of Johnson & Johnson, William Tillett Speakers bureau: AbbVie, Amgen, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Amgen, Eli Lilly, Janssen, and UCB.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科目三应助落去归来采纳,获得10
刚刚
oneoldcd完成签到,获得积分10
刚刚
HH发布了新的文献求助10
2秒前
Pdnnnnn完成签到,获得积分20
2秒前
MAVS完成签到,获得积分10
3秒前
绵羊小姐应助干净的琦采纳,获得50
3秒前
朴素凝冬发布了新的文献求助10
5秒前
不会学术的羊完成签到,获得积分10
5秒前
abcd_1067发布了新的文献求助10
6秒前
12秒前
15秒前
如意伟诚发布了新的文献求助10
15秒前
深情安青应助HH采纳,获得10
16秒前
科研路上的干饭桶完成签到,获得积分10
16秒前
雪白冷风完成签到 ,获得积分10
17秒前
17秒前
缥缈的背包完成签到,获得积分10
18秒前
Plumo完成签到 ,获得积分10
19秒前
yusuiwq发布了新的文献求助20
19秒前
20秒前
旺旺发布了新的文献求助30
21秒前
乐观海燕完成签到,获得积分10
22秒前
22秒前
hjh完成签到,获得积分10
22秒前
sherry发布了新的文献求助10
22秒前
23秒前
冷静冷风完成签到 ,获得积分10
23秒前
怡然的如冰完成签到 ,获得积分10
23秒前
24秒前
24秒前
李慧莹发布了新的文献求助10
24秒前
做好自己发布了新的文献求助10
26秒前
仁爱听露完成签到 ,获得积分10
27秒前
卡卡西发布了新的文献求助10
28秒前
1633发布了新的文献求助10
28秒前
小李叭叭发布了新的文献求助10
28秒前
机智的紫丝完成签到,获得积分10
29秒前
30秒前
含蓄平蓝完成签到 ,获得积分10
32秒前
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359465
求助须知:如何正确求助?哪些是违规求助? 8173434
关于积分的说明 17214429
捐赠科研通 5414555
什么是DOI,文献DOI怎么找? 2865497
邀请新用户注册赠送积分活动 1842839
关于科研通互助平台的介绍 1691052