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Clinically important changes in individual and composite measures of rheumatoid arthritis activity: thresholds applicable in clinical trials.

ABSTRACT: OBJECTIVE:Thresholds of minimal clinically important improvement (MCII) are needed to plan and interpret clinical trials. We estimated MCIIs for the rheumatoid arthritis (RA) activity measures of patient global assessment, pain score, Health Assessment Questionnaire Disability Index (HAQ), Disease Activity Score-28 (DAS28), Simplified Disease Activity Index (SDAI), and Clinical Disease Activity Index (CDAI). METHODS:In this prospective longitudinal study, we studied 250 patients who had active RA. Disease activity measures were collected before and either 1?month (for patients treated with prednisone) or 4?months (for patients treated with disease modifying medications or biologics) after treatment escalation. Patient judgments of improvement in arthritis status were related to prospectively assessed changes in the measures. MCIIs were changes that had a specificity of 0.80 for improvement based on receiver operating characteristic curve analysis. We used bootstrapping to provide estimates with predictive validity. RESULTS:At baseline, the mean (±SD) DAS28-ESR (erythrocyte sedimentation rate) was 6.16±1.2 and mean SDAI was 38.6±14.8. Improvement in overall arthritis status was reported by 167 patients (66.8%). Patients were consistent in their ratings of improvement versus no change or worsening, with receiver operating characteristic curve areas ?0.74. MCIIs with a specificity for improvement of 0.80 were: patient global assessment -18, pain score -20, HAQ -0.375, DAS28-ESR -1.2, DAS28-CRP (C-reactive protein) -1.0, SDAI -13, and CDAI -12. CONCLUSIONS:MCIIs for individual core set measures were larger than previous estimates. Reporting the proportion of patients who meet these MCII thresholds can improve the interpretation of clinical trials in RA.

SUBMITTER: Ward MM

PROVIDER: S-EPMC4216638 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Clinically important changes in individual and composite measures of rheumatoid arthritis activity: thresholds applicable in clinical trials.

Ward Michael M MM Guthrie Lori C LC Alba Maria I MI

Annals of the rheumatic diseases 20140501 9

<h4>Objective</h4>Thresholds of minimal clinically important improvement (MCII) are needed to plan and interpret clinical trials. We estimated MCIIs for the rheumatoid arthritis (RA) activity measures of patient global assessment, pain score, Health Assessment Questionnaire Disability Index (HAQ), Disease Activity Score-28 (DAS28), Simplified Disease Activity Index (SDAI), and Clinical Disease Activity Index (CDAI).<h4>Methods</h4>In this prospective longitudinal study, we studied 250 patients w ...[more]

PMID: 24794149

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Project description:BackgroundRapid advances in the past decade have shown that dysbiosis of the gut microbiome is a key hallmark of rheumatoid arthritis (RA). Yet, the relationship between the gut microbiome and clinical improvement in RA disease activity remains unclear. In this study, we explored the gut microbiome of patients with RA to identify features that are associated with, as well as predictive of, minimum clinically important improvement (MCII) in disease activity.MethodsWe conducted a retrospective, observational cohort study on patients diagnosed with RA between 1988 and 2014. Whole metagenome shotgun sequencing was performed on 64 stool samples, which were collected from 32 patients with RA at two separate time-points approximately 6-12 months apart. The Clinical Disease Activity Index (CDAI) of each patient was measured at both time-points to assess achievement of MCII; depending on this clinical status, patients were distinguished into two groups: MCII+ (who achieved MCII; n = 12) and MCII- (who did not achieve MCII; n = 20). Multiple linear regression models were used to identify microbial taxa and biochemical pathways associated with MCII while controlling for potentially confounding factors. Lastly, a deep-learning neural network was trained upon gut microbiome, clinical, and demographic data at baseline to classify patients according to MCII status, thereby enabling the prediction of whether a patient will achieve MCII at follow-up.ResultsWe found age to be the largest determinant of the overall compositional variance in the gut microbiome (R2 = 7.7%, P = 0.001, PERMANOVA). Interestingly, the next factor identified to explain the most variance in the gut microbiome was MCII status (R2 = 3.8%, P = 0.005). Additionally, by looking at patients' baseline gut microbiome profiles, we observed significantly different microbiome traits between patients who eventually showed MCII and those who did not. Taxonomic features include alpha- and beta-diversity measures, as well as several microbial taxa, such as Coprococcus, Bilophila sp. 4_1_30, and Eubacterium sp. 3_1_31. Notably, patients who achieved clinical improvement had higher alpha-diversity in their gut microbiomes at both baseline and follow-up visits. Functional profiling identified fifteen biochemical pathways, most of which were involved in the biosynthesis of L-arginine, L-methionine, and tetrahydrofolate, to be differentially abundant between the MCII patient groups. Moreover, MCII+ and MCII- groups showed significantly different fold-changes (from baseline to follow-up) in eight microbial taxa and in seven biochemical pathways. These results could suggest that, depending on the clinical course, gut microbiomes not only start at different ecological states, but also are on separate trajectories. Finally, the neural network proved to be highly effective in predicting which patients will achieve MCII (balanced accuracy = 90.0%, leave-one-out cross-validation), demonstrating potential clinical utility of gut microbiome profiles.ConclusionsOur findings confirm the presence of taxonomic and functional signatures of the gut microbiome associated with MCII in RA patients. Ultimately, modifying the gut microbiome to enhance clinical outcome may hold promise as a future treatment for RA.

Project description:BackgroundThe primary aim of rheumatoid arthritis (RA) treatment is to induce remission, the absence of disease activity. The objective of this study was to explore the association between clinical endpoints used to gauge RA treatment efficacy and patient-reported outcomes of health-related quality of life, fatigue, and physical function in RA patients treated with secukinumab in a phase 2 randomized controlled trial (RCT).MethodAdult RA patients (n?=?237) with incomplete responses to methotrexate were randomized equally to receive monthly s.c. injections of secukinumab 25 mg, 75 mg, 150 mg, 300 mg or placebo. Clinical endpoints used in this study included the ACR response criteria and its components and simplified disease activity score. Patient-reported outcomes (PRO) included Health Assessment Questionnaire-Disability Index (HAQ-DI), Medical Outcomes Study Short Form-36 [SF-36] Survey, and Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue). Patients were categorized into mutually exclusive groups according to the magnitude and direction of change from baseline to week 16 in each clinical endpoint. Definitions of minimal important differences [MID] in each clinical endpoint were used to categorize patients, as well as thresholds beyond MID. Mean changes from baseline to week 16 were computed for each PRO and analyses of variance to test the differences in PRO changes observed across groups of patients that differed in each clinical endpoint. Analyses were limited to patients randomized to secukinumab treatment. All dose groups were combined (n?=?187).ResultsMean changes from baseline in each PRO differed significantly across groups of patients in the expected direction. With few exceptions, there was considerable agreement between clinical endpoints and PROs concerning the magnitude of change defined as clinically meaningful. More importantly, results demonstrated that greater improvements in clinical endpoints were associated with incrementally better improvements in HRQoL, fatigue, and physical function.ConclusionResults of this study show considerable agreement between minimal thresholds of improvement established for PROs and clinical outcome measures used in RA treatment studies and provide thresholds to be considered in gauging the importance of a treatment effect that goes beyond what is considered as minimally important for PRO measures.

Project description:OBJECTIVE:To evaluate rheumatoid arthritis (RA) disease activity and risk of RA-associated interstitial lung disease (RA-ILD). METHODS:We investigated disease activity and risk of RA-ILD using the Brigham RA Sequential Study (BRASS, 2003-2016). All patients were diagnosed as having RA according to accepted criteria. Disease Activity Scores in 28 joints (DAS28) and covariate data were measured prospectively at annual study visits. Diagnosis of RA-ILD was determined by review of images from clinically indicated chest computed tomography scans. We analyzed patients without RA-ILD at baseline. We used Cox regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for RA-ILD, using annually updated DAS28 data, with adjustment for known RA-ILD risk factors (age, sex, smoking status, RA duration, and serologic status). We performed alternative analyses that did not censor at the time of missing DAS28 data and included adjustment for use of methotrexate, use of glucocorticoids, presence of bone erosions, and presence of rheumatoid nodules. RESULTS:Among 1,419 participants, the mean ± SD age was 55.8 ± 14.2 years, and 68.6% were seropositive for either cyclic citrullinated peptide or rheumatoid factor. We identified 85 incident cases of RA-ILD during a mean ± SD follow-up duration of 8.9 ± 4.2 years per patient. The moderate/high disease activity group had a multivariable HR of 2.22 (95% CI 1.28-3.82) for RA-ILD compared to the remission/low disease activity group. Risk of RA-ILD increased across disease activity categories: multivariable HR 1.00 (reference) for remission, 1.41 (95% CI 0.61-3.28) for low disease activity, 2.08 (95% CI 1.06-4.05) for moderate disease activity, and 3.48 (95% CI 1.64-7.38) for high disease activity (P for trend = 0.001). For each unit increase in the DAS28, the risk of RA-ILD increased by 35% (95% CI 14-60%). Results were similar in analyses that included follow-up for missing DAS28 data and with adjustment for use of methotrexate, use of glucocorticoids, presence of bone erosions, or presence of rheumatoid nodules. CONCLUSION:Active articular RA was associated with an increased risk of developing RA-ILD. These results suggest that decreasing systemic inflammation may alter the natural history of RA-ILD development.

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Clinically important changes in individual and composite measures of rheumatoid arthritis activity: thresholds applicable in clinical trials.

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Clinically important changes in individual and composite measures of rheumatoid arthritis activity: thresholds applicable in clinical trials.

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