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Clinical Improvements as Predictors of Improvements in Patient-Reported Outcomes: Post Hoc Analysis of a Randomized, Open-Label Study of Etanercept in Latin American Patients with Rheumatoid Arthritis

Authors Guerra Bautista G , Xavier RM , de la Vega M, Simón-Campos JA, Solano G, Pedersen RD, Vlahos B, Borlenghi C

Received 28 August 2019

Accepted for publication 13 November 2019

Published 12 December 2019 Volume 2019:11 Pages 275—281

DOI https://doi.org/10.2147/OARRR.S228866

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Chuan-Ju Liu



Generoso Guerra Bautista,1 Ricardo Machado Xavier,2 Maria de la Vega,3 J Abraham Simón-Campos,4 Gastón Solano,5 Ronald D Pedersen,6 Bonnie Vlahos,6 Cecilia Borlenghi7

1Centro de Investigación Marbella, Paitilla Panamá, Panamá; 2Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; 3CEIM Investigaciones Medicas, Buenos Aires, Argentina; 4Köhler & Milstein Research, Mérida, México; 5Pfizer, San José, Costa Rica; 6Pfizer, Collegeville, PA, USA; 7Pfizer, Buenos Aires, Argentina

Correspondence: Generoso Guerra Bautista
Consultorios Royal Center, Calle 53 Marbella, Panamá, República de Panamá
Tel +507-263-3283
Email [email protected]

Background: In rheumatoid arthritis (RA), little is known about clinical responses to treatment as predictors of patient-reported outcome (PRO) changes. In this post hoc analysis, we examined the relationship between clinical outcomes at week 12 and PRO changes at week 24 in patients with RA.
Methods: In an open-label study, Latin American patients with moderate-to-severe RA and an inadequate response to methotrexate (MTX) were randomized to receive etanercept 50 mg/week plus MTX (ETN+MTX; n=281) or an additional conventional disease-modifying anti-rheumatic drug (DMARD) plus MTX (DMARD+MTX; n=142) for 24 weeks. The PROs included Health Assessment Questionnaire Disability Index (HAQ-DI), 36-item Short Form (SF-36), Physician and Patient Global Assessment scores (PGA, PtGA), Physician and Patient Satisfaction, and an activity impairment assessment. PRO changes at week 24 were calculated by week-12 improvements using the American College of Rheumatology criteria (ACR <20, ≥20 to <50, ≥50 to <70, and ≥70) and the 28-joint Disease Activity Scores (DAS28 ≥3.2, ≥2.6 to <3.2, and <2.6). Observed-cases data were analyzed using an ANCOVA model with linear contrast, adjusted for baseline PRO and ACR/DAS28 values.
Results: For both ETN+MTX- and DMARD+MTX-treated patients, there was a significant linear trend between week-12 changes in ACR and DAS28 responses and week-24 changes in HAQ-DI (P<0.001 for all), with numerical improvements generally favoring ETN+MTX. Similar relationships were observed for SF-36, PGA, PtGA, Physician Satisfaction, Patient Satisfaction, and activity impairment.
Conclusions: In patients with RA, clinical response after 12 weeks of treatment with ETN+MTX or DMARD+MTX could be a predictor of week-24 response for several PROs.
Trial registration: ClinicalTrials.gov, NCT00848354.

Keywords: etanercept, rheumatoid arthritis, clinical outcome, patient-reported outcome, predictor

Background

Patient-reported outcomes (PROs) in rheumatoid arthritis (RA) are used both in clinical trials1 and in clinical practice.2 In trials, clinical improvements have been shown to correlate with concurrent improvements in various PROs.38 However, less is known about clinical responses as predictors of PRO changes.

Since patients’ subjective assessment is an important factor in RA management, including treatment adherence9 and disease remission,10,11 it is important to understand what kind of PRO response can be expected from a certain level of clinical response. In addition, it is of interest to assess predictive relationship between clinical and PRO improvements within a relatively short time: patients are keen to experience improvements as soon as possible, and 6 months are usually considered the maximum time for changing therapies that patients consider to be ineffective.

In a randomized, open-label trial in Latin American patients with moderate-to-severe RA and an inadequate response to methotrexate (MTX) (NCT00848354), adding etanercept (ETN) to MTX was more effective than adding another conventional disease-modifying anti-rheumatic drug (DMARD), for both clinical outcomes and PROs.12,13 In this post hoc analysis, we used data from that trial to examine whether changes from baseline in clinical outcomes at week 12 were predictive of PRO changes at week 24.

Methods

Study Design

All study participants provided written informed consent. In addition, institutional approval was obtained from each center in which the study was conducted (see Table S1). Details of the 24-week, randomized phase of that study were published previously.13 Briefly, patients from Argentina, Chile, Colombia, Mexico, and Panama with moderate-to-severe RA and an inadequate response to MTX were randomized to receive open-label ETN 50 mg/week plus MTX (n=281) or an additional conventional DMARD (hydroxychloroquine or sulfasalazine) plus MTX (n=142) for 24 weeks. Main inclusion criterion was active RA despite MTX monotherapy (≥7.5 and ≤25 mg/week) for at least 3 months, as indicated by ≥6 swollen joints, ≥8 tender joints, and erythrocyte sedimentation rate of ≥28 mm/hr. Main exclusion criteria were previous treatment with ETN or other biologics, treatment with a concurrent DMARD (other than MTX) within 3 months from baseline, and treatment with >1 NSAID at screening. Clinical endpoints were assessed at baseline and at weeks 2, 4, 8, 12, 16, 20, and 24, and included the proportions of patients who achieved the American College of Rheumatology (ACR) improvement criteria (ACR20, ACR50, and ACR70) and the 28-joint Disease Activity Scores (DAS28) consistent with remission (<2.6) and low disease activity (<3.2). The 24-week PROs included Health Assessment Questionnaire Disability Index (HAQ-DI), 36-item Short Form, Physical Component Summary (SF-36 PCS), Hospital Anxiety and Depression Scale subscales for anxiety (HADS-A) and depression (HADS-D), Physician and Patient Global Assessment scores (PGA, PtGA), Physician and Patient Satisfaction, Work Productivity and Activity Impairment: RA (WPAI:RA), and resource utilization.

Data Analysis

Baseline-to-week-24 PRO changes were calculated by week-12 responses on the ACR (<20, ≥20 to <50, ≥50 to <70, and ≥70) and on the DAS28 (≥3.2, ≥2.6 to <3.2, and <2.6). Observed-cases data for ETN+MTX and DMARD+MTX groups were analyzed using ANCOVA with linear contrast, adjusted for baseline PRO and ACR/DAS28 values.

Results

Baseline Characteristics

Baseline characteristics were published previously.13 Most of the 423 randomized patients were women (376; 89%); the average disease duration was 8.3 years (Table 1).

Table 1 Baseline Characteristics

Disability and Physical Component-Related Quality of Life

There was a significant linear trend for improvement in HAQ-DI and SF-36 PCS at week 24 with an increasing level of ACR response or reduction in DAS28 scores at week 12, regardless of the choice of add-on treatment (Figure 1). Consistent with the published, prospectively defined analyses,13 the PRO improvement generally favored ETN over DMARD.

Figure 1 (AD) Relationship between HAQ-DI and SF-36 PCS and clinical response. Notes: Numerals in each column denote the numbers of participants. P-values are from ANCOVA linear trend contrast within each treatment.Abbreviations: ACR, American College of Rheumatology (response criteria); ANCOVA, analysis of covariance; CI, confidence interval; DAS28, 28-joint Disease Activity Scale (response criteria); DMARD, disease-modifying anti-rheumatic drug; ETN, etanercept; HAQ-DI, Health Assessment Questionnaire Disability Index; SF-36 PCS, Short Form 36, Physical Component Summary.

Anxiety and Depression

Overall, patients with a greater ACR or DAS28 response at week 12 also tended to experience a greater reduction in anxiety or depression at week 24, with the linear trends being significant for most depresion-related assessments (Figure 2C-D). There was no significant linear trend in anxiety improvement by DAS28 response for any treatment (Figure 2B).

Figure 2 (AD) Relationship between HADS subscales and clinical response. Notes: Numerals in each column denote the numbers of participants. P-values are from ANCOVA linear trend contrast within each treatment.Abbreviations: ACR, American College of Rheumatology (response criteria); ANCOVA, analysis of covariance; CI, confidence interval; DAS28, 28-joint Disease Activity Scale (response criteria); DMARD, disease-modifying anti-rheumatic drug; ETN, etanercept; HADS-A, Hospital Anxiety and Depression Scales subscale for anxiety; HADS-A, Hospital Anxiety and Depression Scales subscale for anxiety.

Global Assessments and Treatment Satisfaction

At week 24, there was an overall significant linear trend for improvement in patients’ global assessment (PGA or PtGA) with an increasing level of week-12 clinical response, regardless of the add-on treatment (ETN or DMARD) (Figure 3). The PRO improvement generally favored ETN over DMARD, consistent with protocol-specified analyses.13 Similar observations were made for patients’ and physicians’ satisfaction with treatment (Figure 4).

Figure 3 (AD) Relationship between PGA/PtGA and clinical response. Notes: Numerals in each column denote the numbers of participants. P-values are from ANCOVA linear trend contrast within each treatment.Abbreviations: ACR, American College of Rheumatology (response criteria); ANCOVA, analysis of covariance; CI, confidence interval; DAS28, 28-joint Disease Activity Scale (response criteria); DMARD, disease-modifying anti-rheumatic drug; ETN, etanercept; PGA, Physician Global Assessment; PtGA, Patient Global Assessment.

Figure 4 (AD) Satisfaction with treatment and clinical response. Note: Numerals in each column denote the numbers of participants. P-values are from ANCOVA linear trend contrast within each treatment.Abbreviations: ACR, American College of Rheumatology (response criteria); ANCOVA, analysis of covariance; CI, confidence interval; DAS28, 28-joint Disease Activity Scale (response criteria); DMARD, disease-modifying anti-rheumatic drug; ETN, etanercept; PGA, Physician Global Assessment; PtGA, Patient Global Assessment.

WPAI and Resource Utilization

There were significant linear trends for improvement in WPAI:RA subscales by ACR or DAS28 response for ETN treatment, but a low number of patients with available data precluded trend analysis for the DMARD group (Figure S1). The week-24 linear trends were less clear in regard to resource utilization: the trends were significant for ETN-treated patients in terms of reduced visits to rheumatologists, other physicians, or RA-related emergency room visits by ACR, but not by DAS28 response, but there were no significant trends for DMARD treatment (Figure S2).

Discussion

These data suggest that, in patients with moderate-to-severe RA and an inadequate response to MTX, PRO improvement at week 24 was proportional to clinical response at week 12. To the best of our knowledge, this is the first study that evaluated clinical outcomes as predictors of PRO response in RA. Since the treatment groups were similar in terms of baseline characteristics, and since our statistical model was adjusted for baseline PRO and ACR/DAS28 values, the significant linear trends observed are not likely to be baseline-related artifacts.

The fact that significant linear trends in PRO improvement were associated with 2 measures of clinical improvement supports the robustness of our findings. In addition, for certain PROs, significant linear trends were observed in both ETN+MTX- and DMARD+MTX-treated patients, which suggests a predictive relationship independent of the type of treatment or the novelty factor (biologic vs. conventional DMARD). In general, improvements in ETN-treated patients exceeded those in patients receiving DMARD, which is consistent with the prespecified analyses of these data,13 but a trend of greater PRO improvements in patients who had experienced a greater clinical response was observed in both treatment groups.

Limitations of this analysis include its post hoc nature; an open-label design, which typically limits interpretation of PRO data (patients or physicians may be more inclined to be satisfied with a novel treatment); a small number of patients available for certain outcomes (most notably WPAI:RA subscales); and the fact that PtGA is a component of DAS28,14 so the significant linear trend observed for PtGA by DAS28 response was not surprising.

Conclusions

In conclusion, clinical improvements could serve as predictors of certain future PRO improvements, which may be of use in clinical practice, particularly in setting treatment expectations. These findings would need to be corroborated in prospectively designed studies.

Ethics Approval and Consent to Participate

This study was conducted in accordance with the principles of the Declaration of Helsinki and the International Conference on Harmonisation - Good Clinical Practice guidelines, while following all local regulatory requirements, as stated in the primary report on the trial.13

Consent for Publication

This manuscript does not contain any individual person’s data.

Availability of Data and Materials

Upon request, and subject to certain criteria, conditions and exceptions (see https://www.pfizer.com/science/clinical-trials/trial-data-and-results for more information), Pfizer will provide access to individual de-identified participant data from Pfizer-sponsored global interventional clinical studies conducted for medicines, vaccines and medical devices 1) for indications that have been approved in the US and/or EU or 2) in programs that have been terminated (i.e., development for all indications has been discontinued). Pfizer will also consider requests for the protocol, data dictionary, and statistical analysis plan. Data may be requested from Pfizer trials 24 months after study completion. The de-identified participant data will be made available to researchers whose proposals meet the research criteria and other conditions, and for which an exception does not apply, via a secure portal. To gain access, data requestors must enter into a data access agreement with Pfizer.

Acknowledgment

Medical writing assistance was provided by Vojislav Pejović, PhD, of Engage Medical Affairs, and was sponsored by Pfizer.

Disclosure

GGB: Consultant for Janssen. Speaker for Janssen, Pfizer, and Roche. RMX: Consultant for AbbVie, Janssen, Lilly, and Pfizer. Speaker for AbbVie, BMS, Janssen, Lilly, Novartis, Pfizer, and Roche. RMX also reports personal fees from Abbvie, Pfizer, UCB, Lilly, and Roche, outside the submitted work. MdlV: Consultant and speaker for Pfizer, Sanofi, and Raffo. Speaker for Abbvie, BMS, Janssen, and Lilly. Participant in educational programs supported by Roche. JASC: Received sponsorship from Roche to attend an educational event. GS, CB, and BV are Pfizer employees and may own company stock. RDP was a Pfizer employee during the development of the manuscript and may own company stock. The authors report no other conflicts of interest in this work.

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