Skip to main content
The Korean Journal of Internal Medicine logoLink to The Korean Journal of Internal Medicine
. 2019 Jan 28;35(1):231–239. doi: 10.3904/kjim.2018.137

Simplified disease activity changes in real-world practice: a nationwide observational study of seropositive rheumatoid arthritis patients with moderate-to-high disease activity

Kichul Shin 1, Sung Soo Kim 2, Sang-Heon Lee 3, Seung-Jae Hong 4, Sung Jae Choi 5, Jung-Yoon Choe 6, Seung-Geun Lee 7, Hoon-Suk Cha 8, Eun Young Lee 9, Sung-Hwan Park 10, Jin-Wuk Hur 11, Sung Soo Na 12, Chang-Hee Suh 13, Min Wook So 14, Seung Won Choi 15, Dong-Hyuk Sheen 16, Won Park 17, Shin-Seok Lee 18, Wan Hee Ryu 19, Jin Seok Kim 20, Jung Soo Song 21, Hye Soon Lee 22, Seong Ho Kim 23, Dae-Hyun Yoo 24,
PMCID: PMC6960052  PMID: 30685961

Abstract

Background/Aims

The objective of this study was to compare changes in the simplified disease activity index (SDAI) between biologic (b) and conventional (c) disease-modifying antirheumatic drugs (DMARD) users with seropositive rheumatoid arthritis (RA) in daily clinical practice.

Methods

This was a nationwide multicenter observational study. Patients who had three or more active joint counts and abnormal inf lammatory marker in blood test were enrolled. The selection of DMARDs was determined by the attending rheumatologist. Clinical parameters, laboratory findings, and Health Assessment Questionnaire (HAQ) scores were obtained at baseline and at 6 and 12 months. Serial SDAI changes and clinical remission rate at 6 and 12 months were assessed.

Results

A total of 850 patients participated in this study. The mean baseline SDAI score in bDMARD group was higher than that in cDMARD group (32.08 ± 12.98 vs 25.69 ± 10.97, p < 0.0001). Mean change of SDAI at 12 months was –19.0 in the bDMARD group and –12.6 in the cDMARD group (p < 0.0001). Clinical remission rates at 12 months in bDMARD and cDMARD groups were 15.4% and 14.6%, respectively. Patient global assessment and HAQ at 12 months were also significantly improved in both groups. Multivariate logistic regression showed that baseline HAQ score was the most notable factor associated with remission.

Conclusions

There was a significant reduction in SDAI within 12 months after receiving DMARDs in Korean seropositive RA patients irrespective of bDMARD or cDMARD use in real-world practice. Clinical remission was achieved in those with lower baseline HAQ scores.

Keywords: Arthritis, rheumatoid; Antirheumatic agents; Biological therapy

INTRODUCTION

Rheumatoid arthritis (RA) is a chronic progressive inflammatory condition that can lead to significant disability and joint pain [1,2]. In Korea, annual prevalence rate of RA estimated based on insurance claim data was 0.27% in 2009 [3]. The introduction of biologic therapies such as tumor necrosis factor alpha (TNF-α) antagonists has dramatically improved treatment outcomes of severe RA. Biologic therapies now provide opportunities to target precise pathways within the immune system and inflammatory pathway, leading to better quality of life for RA patients in terms of disease activity control with reduced comorbidities and mortality.

Patients diagnosed with RA are first given conventional disease-modifying antirheumatic drugs (cDMARDs). However, the rate of using biologic DMARDs (bDMARDs) is rising rapidly [4,5]. Currently, numerous TNF-α antagonists are licensed for use in RA in Korea: infliximab, infliximab biosimilar, adalimumab, golimumab, TNF-α receptor fusion protein etanercept, and etanercept biosimilar. The efficacy and tolerability of TNF-α antagonists have been studied in randomized controlled clinical trials (RCTs) and observational studies [6-11]. A recent meta-analysis has also reported that these agents are superior to cDMARDs alone in patients with active disease [12]. However, data demonstrating disease activity changes by bDMARDs in parallel to cDMARDs in routine clinical practice are still limited in Korea.

RCTs are generally considered the gold standard for evaluating the efficacy of new therapeutic interventions for defined medical conditions. Standardized trial designs are necessary to ensure that patients randomly allocated to treatment arms are as similar as possible. The setting of RCT could therefore encompasses restrictive inclusion and exclusion criteria, fixed treatment regimens, and rigid follow-up protocol [13,14]. In rheumatology as in many other fields of medicine, clinical trials may not truly reflect the effectiveness of treatments in the real-world setting [15], particularly as most patients with the diagnosis of interest are ineligible for standard clinical trials [16,17]. In other words, the effectiveness of a new agent is also determined by how well it performs in real-world conditions, outside the context of a randomized trial [18]. The aim of this study was to analyze the effectiveness of bDMARDs and cDMARD treatment in daily clinical practice in Korea.

METHODS

Patients

The Korean multicenter observational study of disease activity changes in DMARD users with seropositive RA (KOSDAI) study was an observational study conducted in 24 secondary or tertiary medical institutes nationwide between January 2012 and April 2014. Seropositive patients aged ≥ 18 years were required to meet the criteria of the 2010 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) for RA [19] and the following criteria: tender joint count (TJC) ≥ 3, swollen joint count (SJC) ≥ 2, and C-reactive protein (CRP) ≥ 1 mg/dL or erythrocyte sedimentation rate (ESR) ≥ 28 mm/hr. Patients were screened and enrolled at the time point of their regular visit to the outpatient clinic. Patients enrolled in the study had received a regimen that was deemed appropriate by their treating physician. The study design was in accordance with the ethical standards of the Institutional and/or National Research Committee and the Declaration of Helsinki (as revised in Brazil 2013). The study protocol was reviewed by Institutional Review Board at each site (SMG-SNU Boramae Medical center 20120229/06-2012-42/117, et al.). Informed consent was obtained from all participants in the study.

Clinical and laboratory assessment

Clinical and demographic characteristics were collected on case report forms at the time of enrollment. Clinical features were assessed at baseline and at month 6 and month 12. Simplified disease activity index (SDAI) score was employed to evaluate disease activity and remission. SDAI score was calculated as the sum of TJC, SJC, patient global assessment (PGA; 10 cm visual analogue scale [VAS]), and CRP level. SDAI score of ≤ 3.3 indicated remission while a score of 3.3 to 11, > 11 to ≤ 26, and > 26 indicated low, moderate, and high disease activity, respectively. Physician global assessment (10 cm VAS) and Health Assessment Questionnaire (HAQ) scores were also obtained. To assess clinical remission, the 2011 ACR/EULAR remission criteria were used as the main tool [20]. Data on baseline rheumatoid factor and/or anti-cyclic citrullinated peptide antibody were obtained. CRP and ESR levels were measured at baseline and month 6 and month 12.

Statistical analyses

Patients who initiated a bDMARD on enrollment or who started on a cDMARD but switched to a bDMARD during the 12-month period were included in the bDMARD group. Main analyses were conducted for the full analysis set. Those who were treated with a bDMARD or cDMARD for ≥ 6 months were also analyzed. Statistical analyses were performed using SPSS statistical software version 22.0 (IBM Co., Armonk, NY, USA). SDAI scores were analyzed using Wilcoxon’s rank sum test and Wilcoxon’s signed rank test. Pearson’s chi-square test was used to evaluate disease activity and remission between patients treated with DMARDs. A p < 0.05 was considered statistically significant. Factors affecting remission were analyzed using a multivariate linear regression model with treatment group, sex, age, disease duration, and baseline SDAI score as independent variables and remission as dependent variable.

RESULTS

Patient demographics

Data of 802 seropositive RA patients were analyzed (Fig. 1). A total of 660 patients (82%) completed follow-up for 12 months, including 317 patients in the cDMARD group and 343 patients in the bDMARD group. Patient demographics and clinical parameters at baseline, including SDAI and disease activity score 28 (DAS28) are summarized in Table 1. The mean age was 57.0 years in the cDMARD group and 54.2 years in the bDMARD group. Patients were predominantly women, with a disease duration of 5.9 ± 6.6 and 7.8 ± 7.5 years in cDMARD and bDMARD groups, respectively, showing significant (p < 0.0001) difference between the two groups. Baseline SDAI was higher in the bDMARD group than that in the cDMARD group (32.08 ± 12.98 vs. 25.69 ± 10.90, p < 0.0001). All patients in the bDMARD group were prescribed with cDMARDs for at least 6 months before starting bDMARDs following the Korean National Health Insurance reimbursement guidelines [21]. Biologic DMARDs mainly comprised of TNF-α antagonists (Supplementary Table 1). Sixteen percent of bDMARD users were prescribed more than two different agents. Most patients (97.5%) in the bDMARD group also received a cDMARD during the study period (Supplementary Table 1).

Figure 1.

Figure 1.

Study flow and patient disposition. DMARD, disease-modifying antirheumatic drug.

Table 1.

Baseline demographics and clinical characteristics of patient enrolled in this study

Characteristic Conventional DMARD group (n = 406) Biologic DMARD group (n = 396) p value
Age, yr 57.0 ± 12.2 54.2 ± 12.3 0.0010
Female sex 325 (80.1) 345 (87.1) 0.0069
Disease duration, yr 5.9 ± 6.6 7.8 ± 7.5 < 0.0001
Rheumatoid factor, IU/mL 281.9 ± 687.0 215.2 ± 324.1 0.9845
Anti-CCP, IU/mL 267.6 ± 598.0 262.2 ± 524.6 0.1300
ESR, mm/hr 51.7 ± 26.3 58.6 ± 26.0 0.0002
CRP, mg/dL 2.84 ± 5.51 2.59 ± 3.48 0.4318
SDAI 25.69 ± 10.90 32.08 ± 12.98 < 0.0001
DAS28-ESR 4.70 ± 0.71 5.23 ± 0.80 < 0.0001
TJC, n (0–28) 6.9 ± 4.4 10.2 ± 6.1 < 0.0001
SJC, n (0–28) 5.3 ± 3.5 7.4 ± 5.0 < 0.0001
PGA, cm (0–10) 5.3 ± 2.1 6.0 ± 2.2 < 0.0001
MDGA, cm (0–10) 5.4 ± 2.1 5.9 ± 2.1 0.0020
HAQ 1.00 ± 0.73 1.33 ± 0.75 < 0.0001
Previous DMARD use, %
 Conventional 88.9 100 -
 Biologic 6.7 20.7 -
Corticosteroid use, % 92.1 85.9 -

Values are presented as mean ± SD or number (%).

DMARD, disease-modifying antirheumatic drug; CCP, cyclic citrullinated peptide; ESR, erythrocyte sedimentation rate; CRP, C-reactive protein; SDAI, simplified disease activity index; DAS, disease activity score; TJC, tender joint count; SJC, swollen joint count; PGA, patient global assessment; MDGA, physician global assessment; HAQ, Health Assessment Questionnaire.

Changes in disease activity scores

Follow-up disease activity parameters were measured at 6 and 12 months. Fig. 2 shows changes in SDAI score in each group. SDAI was improved during the follow-up period. The mean SDAI in the bDMARD group was decreased from 32.08 ± 12.98 at baseline to 15.49 ± 11.69 at 6 months and 12.91 ± 12.16 at 12 months while the mean SDAI in the cDMARD group was decreased from 25.69 ± 10.90 to 15.10 ± 23.65 at 6 months and 12.28 ± 13.50 at 12 months. Overall, the mean change in SDAI at 12 months was –19.0 in the bDMARD group and –12.6 in the cDMARD group (both p < 0.0001). Most patients (64.2%) had high SDAI in the bDMARD group while most patients (58.3%, p < 0.0001) had moderate SDAI in the cDMARD group (Fig. 3). Although baseline SDAI scores were higher in the bDMARD group, SDAI scores were rapidly decreased after receiving bDMARD, leading to no significant difference in SADI score between the two groups at 6 or 12 months.

Figure 2.

Figure 2.

Reduction of simplified disease activity index (SDAI) after 6 and 12 months. (A) Total patient population irrespective of treatment period. (B) Patients who received conventional disease-modifying antirheumatic drug (cDMARD) or biologic DMARD (bDMARD) for at least 6 months. Data represent mean ± standard error. ap & 0.0001.

Figure 3.

Figure 3.

Changes in distribution of simplified disease activity index (SDAI) in conventional disease-modifying antirheumatic drug (cDMARD) or biologic DMARD (bDMARD) groups at 6 and 12 months. Depicted numbers are percentages of patients.

Likewise, baseline disease activity parameters including TJC, SJC, PGA, DAS28, HAQ, and ESR were significantly higher in the bDMARD group (Table 2). After 6 months, there were no significant differences in TJC, SJC, or PGA between the two groups. DAS28 also became comparable between the two groups at 12 months.

Table 2.

Changes in clinical and laboratory parameters

Parameter Visit Conventional DMARD group (n = 406) Biologic DMARD group (n = 396) p value
TJC, n (0–28) Baseline 6.9 ± 4.4 10.2 ± 6.1 < 0.0001
6 mon 3.4 ± 4.0 4.2 ± 4.8 0.0589
12 mon 2.6 ± 3.7 2.9 ± 4.1 0.9262
SJC, n (0–28) Baseline 5.3 ± 3.5 7.4 ± 5.0 < 0.0001
6 mon 2.1 ± 2.6 2.5 ± 3.3 0.3655
12 mon 1.6 ± 2.4 2.0 ± 3.0 0.2038
CRP, mg/dL Baseline 2.84 ± 5.51 2.59 ± 3.48 0.2168
6 mon 2.49 ± 22.17 1.36 ± 3.88 0.2189
12 mon 1.65 ± 9.97 1.53 ± 6.95 0.7348
ESR, mm/hr Baseline 51.7 ± 26.3 58.6 ± 26.0 0.0002
6 mon 34.0 ± 23.7 41.3 ± 28.4 0.0002
12 mon 33.2 ± 23.6 39.0 ± 27.4 0.0048
DAS28-ESR Baseline 4.70 ± 0.71 5.23 ± 0.80 < 0.0001
6 mon 3.42 ± 1.09 3.70 ± 1.16 0.0012
12 mon 3.22 ± 1.03 3.38 ± 1.16 0.0609
PGA, cm (0–10) Baseline 5.3 ± 2.1 6.0 ± 2.2 < 0.0001
6 mon 3.6 ± 2.3 3.9 ± 2.4 0.1615
12 mon 3.3 ± 2.2 3.4 ± 2.4 0.7670
HAQ Baseline 1.00 ± 0.73 1.33 ± 0.75 < 0.0001
6 mon 0.66 ± 0.63 0.91 ± 0.70 < 0.0001
12 mon 0.61 ± 0.63 0.85 ± 0.71 < 0.0001

Values are presented as mean ± SD.

DMARD, disease-modifying antirheumatic drug; TJC, tender joint count; SJC, swollen joint count; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; DAS, disease activity score; PGA, patient global assessment; HAQ, Health Assessment Questionnaire.

Factors affecting clinical remission at 12 months

Baseline disease activities were higher in the bDMARD group. Forty-eight patients (13.3%) in the cDMARD group and 32 patients (8.7%, p = 0.0442) in the bDMARD group fulfilled the 2011 ACR/EULAR remission criteria at the 6-month follow-up visit (Table 3). However, at 12 months, the two groups showed no significant difference in remission rate (14.6% vs. 15.4%). The remission rate in the bDMARD group increased notably in the latter 6-month period. Similar results were observed for SDAI values of remission (Fig. 3).

Table 3.

Clinical remission rate according to the 2011 ACR/EULAR remission criteria

Visit Remission Conventional DMARD group Biologic DMARD group p value
6 mon Yes 48 (13.30) 32 (8.65) 0.0442
No 313 (86.70) 338 (91.35)
12 mon Yes 43 (14.58) 50 (15.43) 0.7660
No 252 (85.42) 274 (84.57)

Values are presented as number (%).

ACR, American College of Rheumatology; EULAR, European League against Rheumatism; DMARD, disease-modifying antirheumatic drug.

Results of univariate analysis of baseline variables associated with remission (2011 ACR/EULAR remission criteria at 12 months) are shown in Table 4. Baseline SDAI and HAQ scores were the best predictive factors for remission. However, treatment group, sex, age, or disease duration was not predictive of remission. In multivariate logistic regression analysis, baseline SDAI and HAQ scores were analyzed separately since both factors were markers of disease activities. Baseline HAQ score was the most significant factor associated with remission.

Table 4.

Factors affecting clinical remission in study patients

Variable Univariate analysis
Multivariate analysis
OR (95% CI) p value Estimate SE OR (95% CI) p value
Treatment groupa 1.078 (0.693–1.677) 0.7393
Sexb 1.039 (0.579–1.866) 0.8972
Age 0.988 (0.970–1.006) 0.1756
Disease duration 0.999 (0.996–1.001) 0.3000
SDAI at baseline 0.977 (0.957–0.997) 0.0251c
HAQ score at baseline 0.662 (0.483–0.907) 0.0102c –0.435 0.165 0.648 (0.469–0.894) 0.0083d

OR, odds ratio; CI, confidence interval; SE, standard error; SDAI, simplified disease activity index; HAQ, Health Assessment Questionnaire.

a

0 = conventional disease-modifying antirheumatic drug (DMARD), 1 = biologic DMARD.

b

0 = female, 1 = male.

c

p < 0.05.

d

p < 0.01.

DISCUSSION

The KOSDAI study aimed to investigate ‘real-world’ changes in disease activity of moderate to highly active seropositive Korean RA patients visiting rheumatology clinics, especially those who required bDMARDs. Baseline SDAI score was higher in the bDMARD group. However, after 6 months of treatment, there were steep reductions in SDAI, resulting in no significant difference in SDAI between bDMARD- and cDMARD-treated patients. Similar trends were observed for other clinical and laboratory parameters. Different baseline characteristics such as disease activity, levels of inflammatory markers, and disease duration are somewhat expected in daily clinical practice because patients with greater disease severity would be preferentially prescribed with bDMARDs [22]. In our study, patients who received bDMARDs eventually showed significantly reduced disease activity, particularly those who were receiving bDMARDs for ≥ 6 months (Fig. 2B).

It is noteworthy that patients in the cDMARD group also achieved significant reduction of disease activity in this observational study. This indicates that the aim of lowering disease activity is well pursued based on patient’s clinical status or prognostic factors either using bDMARDs or single/combination use of cDMARDs (Supplementary Table 1). Surprisingly, the clinical remission rate in the cDMARD group at 6 months was greater than that in patients treated with bDMARD. This is in part because of the higher baseline SDAI in the bDMARD group. In addition, 12% of patients in the cDMARD group were DMARD-naïve (Table 1). Nevertheless, at 12 months, the percentage of patients achieving remission in the bDMARD group exceeded that in the cDMARD group.

In our study, baseline HAQ was identified as a key predictor of remission. This corroborates with previous studies of bDMARDs on key factors associated with remission, showing that patients with low HAQ or DASs have better clinical outcomes [23,24]. In contrast, treatment group, sex, age, or disease duration did not affect clinical remission in our study. A study from the British Society for Rheumatology Biologics Register showed that females were less likely to achieve remission [23]. In our study, higher percentage of females in the bDMARD group along with higher SDAI at baseline might have contributed to the observed rate of remission at 6 months.

Characteristics of the bDMARD group were confounded by indication. Age, disease duration, disease activity, and inflammatory marker levels at baseline all reflected clinical status of study patients at enrollment. Thus, there could be a selection bias which limits further comparison of SDAI changes with the cDMARD group. In addition, heterogeneity regarding previous DMARD use, previous or current biologic use, and concomitant DMARD prescriptions in the bDMARD group make it difficult to compare results between treatment groups. Moreover, a higher rate of drop out (21.9%) in the cDMARD group might have resulted in reasonable outcomes seen in our study. Conversely, the lower rate of dropouts in the bDMARD group (13.3%) may indicate improved adherence to bDMARDs over cDMARDs in RA patients with moderate to high disease activity, a finding that has also been reported previously [25]. However, it was impossible to clearly interpret whether dropout rates were due to the lack of effectiveness or specific adverse events in either group in our study.

Despite these potential limitations, this observational study collected clinical data from patients receiving standard RA treatment in daily clinical practice. Observational studies are of great value for obtaining data on effectiveness and prognosis in RA patients [26]. As few published data comparing DMARD use in Korean RA patients are available, we believe that this study has value in that it assesses a large number of RA patients, including analyzing their clinical outcomes after bDMARD use.

In conclusion, Korean seropositive RA patients with moderate to high disease activity irrespective of receiving cDMARDs or bDMARDs are being offered proper standardized care, showing marked decrease in SDAI at 6 months with additional reduction in the following 6 months. Low baseline HAQ was the best predictor for achieving remission at 1 year. Thus, those with higher HAQ at baseline would need further intervention to achieve better outcomes in longer term.

KEY MESSAGE

1. There was a signif icant reduction in simplified disease activity index within 12 months in Korean seropositive rheumatoid arthritis patients irrespective of biologic or conventional disease-modifying antirheumatic drug use in real-word practice.

2. Clinical remission was achieved particularly for those with lower baseline Health Assessment Questionnaire scores.

Acknowledgments

We would like to thank Hee Yeon Kay for providing help for the writing of this manuscript.

Footnotes

This work was supported by Eisai Korea Inc.

Supplementary Materials

Supplementary Table 1.

DMARDs used during the study period

kjim-2018-137-suppl.pdf (39.7KB, pdf)

REFERENCES

  • 1.Scott DL, Symmons DP, Coulton BL, Popert AJ. Longterm outcome of treating rheumatoid arthritis: results after 20 years. Lancet. 1987;1:1108–1111. doi: 10.1016/s0140-6736(87)91672-2. [DOI] [PubMed] [Google Scholar]
  • 2.Isomaki H. Long-term outcome of rheumatoid arthritis. Scand J Rheumatol Suppl. 1992;95:3–8. doi: 10.3109/03009749209101477. [DOI] [PubMed] [Google Scholar]
  • 3.Sung YK, Cho SK, Choi CB, Bae SC. Prevalence and incidence of rheumatoid arthritis in South Korea. Rheumatol Int. 2013;33:1525–1532. doi: 10.1007/s00296-012-2590-2. [DOI] [PubMed] [Google Scholar]
  • 4.Pressman Lovinger S. Use of biologics for rheumatoid arthritis tempered by concerns over safety, cost. JAMA. 2003;289:3229–3230. doi: 10.1001/jama.289.24.3229. [DOI] [PubMed] [Google Scholar]
  • 5.Scott DL, Kingsley GH. Tumor necrosis factor inhibitors for rheumatoid arthritis. N Engl J Med. 2006;355:704–712. doi: 10.1056/NEJMct055183. [DOI] [PubMed] [Google Scholar]
  • 6.Maini RN, Breedveld FC, Kalden JR, et al. Therapeutic efficacy of multiple intravenous infusions of anti-tumor necrosis factor alpha monoclonal antibody combined with low-dose weekly methotrexate in rheumatoid arthritis. Arthritis Rheum. 1998;41:1552–1563. doi: 10.1002/1529-0131(199809)41:9<1552::AID-ART5>3.0.CO;2-W. [DOI] [PubMed] [Google Scholar]
  • 7.Weinblatt ME, Keystone EC, Furst DE, et al. Adalimumab, a fully human anti-tumor necrosis factor alpha monoclonal antibody, for the treatment of rheumatoid arthritis in patients taking concomitant methotrexate: the ARMADA trial. Arthritis Rheum. 2003;48:35–45. doi: 10.1002/art.10697. [DOI] [PubMed] [Google Scholar]
  • 8.Keystone EC, Schiff MH, Kremer JM, et al. Once-weekly administration of 50 mg etanercept in patients with active rheumatoid arthritis: results of a multicenter, randomized, double-blind, placebo-controlled trial. Arthritis Rheum. 2004;50:353–363. doi: 10.1002/art.20019. [DOI] [PubMed] [Google Scholar]
  • 9.Keystone EC, Genovese MC, Klareskog L, et al. Golimumab, a human antibody to tumour necrosis factor {alpha} given by monthly subcutaneous injections, in active rheumatoid arthritis despite methotrexate therapy: the GO-FORWARD Study. Ann Rheum Dis. 2009;68:789–796. doi: 10.1136/ard.2008.099010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Maini R, St Clair EW, Breedveld F, et al. Infliximab (chimeric anti-tumour necrosis factor alpha monoclonal antibody) versus placebo in rheumatoid arthritis patients receiving concomitant methotrexate: a randomised phase III trial. ATTRACT Study Group. Lancet. 1999;354:1932–1939. doi: 10.1016/s0140-6736(99)05246-0. [DOI] [PubMed] [Google Scholar]
  • 11.McKeage K. A review of CT-P13: an infliximab biosimilar. BioDrugs. 2014;28:313–321. doi: 10.1007/s40259-014-0094-1. [DOI] [PubMed] [Google Scholar]
  • 12.Ravindran V, Scott DL, Choy EH. A systematic review and meta-analysis of efficacy and toxicity of disease modifying anti-rheumatic drugs and biological agents for psoriatic arthritis. Ann Rheum Dis. 2008;67:855–859. doi: 10.1136/ard.2007.072652. [DOI] [PubMed] [Google Scholar]
  • 13.Furst DE. Observational cohort studies and well controlled clinical trials: we need them both! J Rheumatol. 2004;31:1476–1477. [PubMed] [Google Scholar]
  • 14.Pincus T, Sokka T. Should contemporary rheumatoid arthritis clinical trials be more like standard patient care and vice versa? Ann Rheum Dis. 2004;63 Suppl 2:ii32–ii39. doi: 10.1136/ard.2004.028415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Krishnan E, Fries JF. Measuring effectiveness of drugs in observational databanks: promises and perils. Arthritis Res Ther. 2004;6:41–44. doi: 10.1186/ar1151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sokka T, Pincus T. Eligibility of patients in routine care for major clinical trials of anti-tumor necrosis factor alpha agents in rheumatoid arthritis. Arthritis Rheum. 2003;48:313–318. doi: 10.1002/art.10817. [DOI] [PubMed] [Google Scholar]
  • 17.Sokka T, Pincus T. Most patients receiving routine care for rheumatoid arthritis in 2001 did not meet inclusion criteria for most recent clinical trials or American College of Rheumatology criteria for remission. J Rheumatol. 2003;30:1138–1146. [PubMed] [Google Scholar]
  • 18.Bombardier C, Maetzel A. Pharmacoeconomic evaluation of new treatments: efficacy versus effectiveness studies? Ann Rheum Dis. 1999;58 Suppl 1:I82–I85. doi: 10.1136/ard.58.2008.i82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62:2569–2581. doi: 10.1002/art.27584. [DOI] [PubMed] [Google Scholar]
  • 20.Felson DT, Smolen JS, Wells G, et al. American College of Rheumatology/European League Against Rheumatism provisional definition of remission in rheumatoid arthritis for clinical trials. Arthritis Rheum. 2011;63:573–586. doi: 10.1002/art.30129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hur JW, Choe JY, Kim DW, et al. Rheumatoid arthritis patients fulfilling Korean National Health Insurance reimbursement guidelines for anti-tumor necrosis factor-α treatment and comparison to other guidelines. Rheumatol Int. 2015;35:1817–1823. doi: 10.1007/s00296-015-3353-7. [DOI] [PubMed] [Google Scholar]
  • 22.Singh JA, Saag KG, Bridges SL, Jr, et al. 2015 American College of Rheumatology guideline for the treatment of rheumatoid arthritis. Arthritis Rheumatol. 2016;68:1–26. doi: 10.1002/art.39480. [DOI] [PubMed] [Google Scholar]
  • 23.Hyrich KL, Watson KD, Silman AJ, Symmons DP; British Society for Rheumatology Biologics Register. Predictors of response to anti-TNF-alpha therapy among patients with rheumatoid arthritis: results from the British Society for Rheumatology Biologics Register. Rheumatology (Oxford) 2006;45:1558–1565. doi: 10.1093/rheumatology/kel149. [DOI] [PubMed] [Google Scholar]
  • 24.Anderson JJ, Wells G, Verhoeven AC, Felson DT. Factors predicting response to treatment in rheumatoid arthritis: the importance of disease duration. Arthritis Rheum. 2000;43:22–29. doi: 10.1002/1529-0131(200001)43:1<22::AID-ANR4>3.0.CO;2-9. [DOI] [PubMed] [Google Scholar]
  • 25.Zink A, Listing J, Kary S, et al. Treatment continuation in patients receiving biological agents or conventional DMARD therapy. Ann Rheum Dis. 2005;64:1274–1279. doi: 10.1136/ard.2004.031476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Hetland ML, Christensen IJ, Tarp U, et al. Direct comparison of treatment responses, remission rates, and drug adherence in patients with rheumatoid arthritis treated with adalimumab, etanercept, or infliximab: results from eight years of surveillance of clinical practice in the nationwide Danish DANBIO registry. Arthritis Rheum. 2010;62:22–32. doi: 10.1002/art.27227. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Table 1.

DMARDs used during the study period

kjim-2018-137-suppl.pdf (39.7KB, pdf)

Articles from The Korean Journal of Internal Medicine are provided here courtesy of Korean Association of Internal Medicine

RESOURCES