J Rheum Dis 2020; 27(3): 159-167
Published online July 1, 2020
© Korean College of Rheumatology
Correspondence to : Seung-Geun Lee http://orcid.org/0000-0002-5205-3978
Division of Rheumatology, Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, 179 Gudeok-ro, Seo-gu, Busan 49241, Korea. E-mail:sglee@pusan.ac.kr
This is an Open Access article, which permits unrestricted non-commerical use, distribution, and reproduction in any medium, provided the original work is properly cited.
Objective. To investigate the impact of the amendment of the Korean National Health Insurance (KNHI) reimbursement criteria for anti-tumor necrosis factor-α (TNF-α) agents based on from conventional clinical and laboratory measurements to disease activity score of 28 joints (DAS28) on treatment pattern, clinical response, and persistence rate in patients with rheumatoid arthritis (RA). Methods. This multicenter retrospective cohort study evaluated 148 RA patients eligible for the initiation of anti- TNF-α agents as the first-line biologics by either the past (n=95) or current (n=53) KNHI reimbursement criteria. Persistence was defined as the duration between the initiation and discontinuation of anti-TNFα agents. Results. In total, 106 (71.6%), 35 (23.6%), and 7 (4.7%) RA patients started treatment with adalimumab, etanercept, and infliximab, respectively. RA patients who received anti-TNF-α agents under the current reimbursement criteria had a significantly lower mean DAS28-erythrocyte sedimentation rate (ESR) (6.02 vs. 6.95, p<0.001) and daily prednisolone-equivalent glucocorticoid dose (4.51 vs. 6.17 mg, p<0.001) than those who received anti-TNF-α agents under the past reimbursement criteria. No significant differences in the 1-year remission rate defined by DAS28-ESR<2.6 (17.9% vs. 30.2%, p=0.085) and the persistence rate (p=0.703) between the past and current reimbursement criteria was observed. Conclusion. Our data suggest that less active RA patients can receive reimbursement for anti-TNF-α agents under the current criteria, and the amendment of the KNHI reimbursement criteria may improve access to anti-TNF-α agents without affecting the treatment response and persistence rate.
Keywords Rheumatoid arthritis, Tumor necrosis factor-alpha, Health insurance, Health care costs, Treatment outcome
Anti-tumor necrosis factor-
To overcome this issue, most countries worldwide have their own health insurance reimbursement criteria for anti-TNF-
This is a retrospective cohort study performed at three university-affiliated rheumatology centers in South Korea. We evaluated 148 RA patients aged between 20 and 85 years who were newly initiated anti-TNF-
The following demographic and clinical data at the index date were collected: age, sex, disease duration, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), rheumatoid factor (RF), anti-cyclic citrullinated peptide (CCP) antibody, DAS28-ESR, DAS28-CRP, type of anti-TNF-
At the 1-year follow-up, data regarding DAS28-ESR, DAS28-CRP, remission rate, and treatment response were obtained. Remission was defined as DAS28-ESR <2.6. Treatment response to anti-TNF-
Persistence was defined as the duration from the index date to the first discontinuation of anti-TNF-
The past and current KNHI reimburse criteria for the initiation and maintenance of anti-TNF-
Table 1 . Detailed information regarding the past and current Korean National Health Insurance (KNHI) reimbursement criteria
Items | Past KNHI criteria | Current KNHI criteria |
---|---|---|
Requirement to start anti-TNF- | Met the 1987 to the 1987 American Society of Rheumatology diagnostic criteria | Met the 2010 American College of Rheumatology/European League against Rheumatism classification criteria |
ESR>28 mm/hr or CRP>2.0 mg/dL | DAS-28 >5.1 or 3.2≤ DAS-28 ≤5.1 with radiographic progression | |
Morning stiffness ≥45 min | cDMARDs ≥2 including MTX and 3 months/each cDMARD | |
Active joint count ≥20 or ≥6 including ≥4 large joints in case of ≥4 large joints involved | ||
cDMARDs ≥2 including MTX and 3 months/each cDMARD | ||
Criteria to maintain anti-TNF- | ESR (≤28 mm/hr or improvement ≥20%) or CRP (≤2.0 mg/dL or improvement ≥20%) after 3 months | |
Active joint count (tender & swollen) ≤50% after 3 months | Improvement of DAS-28 ≥1.2 after 6 months |
TNF-
All values are expressed as mean±standard deviation or median (interquartile range) for continuous variables as appropriate, and as numbers (percentages) for categorical variables. Clinical data of the study population were compared using the Student t-test or Mann-Whitney U-test for continuous variables and the chi-square test for categorical variables, as appropriate. The drug persistence to anti-TNF-
The baseline clinical characteristics of the 148 patients with RA who started anti-TNF-
Table 2 . Comparisons of baseline clinical characteristics according to the past and current Korean National Health Insurance (KNHI) reimbursement criteria for anti-TNF-
Variable | RA patients (n=148) | Past KNHI criteria (n=95) | Current KNHI criteria (n=53) | p-value |
---|---|---|---|---|
Age (yr) | 47.9±12.0 | 47.1±12.4 | 49.5±11.2 | 0.252 |
Sex, female | 132 (89.2) | 85 (89.5) | 47 (88.7) | 0.881 |
Disease duration (mo) | 13 (4∼39) | 11 (5.5∼35.75) | 17 (4∼40.5) | 0.271 |
Seropositive RA* | 146 (98.6) | 90 (96.8) | 50 (94.3) | 0.668 |
GCs user | 140 (95.9) | 90 (95.7) | 50 (96.2) | 0.905 |
Daily GCs dose (mg) | 5.57±2.73 | 6.17±2.76 | 4.51±2.35 | <0.001 |
Number of previous cDMARDs | 2 (2∼3) | 2 (2∼3) | 2 (2∼3) | 0.096 |
Concurrent cDMARDs | ||||
MTX | 136 (91.9) | 90 (94.7) | 46 (86.8) | 0.09 |
HCQ | 8 (5.4) | 5 (5.3) | 3 (5.7) | 0.918 |
SSZ | 12 (8.1) | 5 (5.3) | 7 (13.2) | 0.09 |
LEF | 2 (1.4) | 1 (1.1) | 1 (1.9) | 0.673 |
TAC | 1 (0.7) | 1 (1.1) | 0 (0) | 1 |
Anti-TNF- | ||||
Adalimumab | 106 (71.6) | 70 (73.7) | 36 (67.9) | 0.75 |
Etanercept | 35 (23.6) | 21 (22.3) | 14 (25.9) | |
Infliximab | 7 (4.7) | 4 (4.3) | 3 (4.7) | |
DAS28-ESR | 6.61±0.99 | 6.95±0.98 | 6.02±0.71 | <0.001 |
DAS28-CRP | 5.86±1 | 6.15±1.05 | 5.34±0.66 | <0.001 |
TJC | 12 (7∼18) | 16 (9.8∼20) | 8 (6∼10.5) | <0.001 |
SJC | 6 (10∼18) | 16 (9.5∼19.3) | 7 (4∼8.5) | <0.001 |
ESR (mm/hr) | 54 (34∼74) | 58 (37∼78) | 44 (28∼74) | 0.078 |
CRP (mg/dL) | 1.95 (0.72∼4.11) | 1.97 (0.88∼4) | 1.92 (0.64∼4.23) | 0.437 |
Values are presented as mean±standard deviation, number (%), or median (interquartile range). TNF-
The flow diagram of the current study is presented in Figure 1. Data regarding the 1-year treatment response to anti-TNF-
Table 3 . Comparisons of 1-year clinical outcome in patients with rheumatoid arthritis receiving for anti-TNF-
Variable | RA patients (n=148) | Past KNHI criteria (n=95) | Current KNHI criteria (n=53) | p-value |
---|---|---|---|---|
RA patients with 1-year treatment response data | 86 (58.1) | 51 (53.7) | 35 (66) | 0.167 |
Remission* | 33 (22.3) | 17 (17.9) | 16 (30.2) | 0.085 |
EULAR response | ||||
Moderate to good response | 84 (56.8) | 49 (51.6) | 35 (66) | 0.119 |
No response | 2 (1.4) | 2 (2.1) | 0 (0) | |
DAS28-ESR | 2.89±0.96 | 2.97±1.09 | 2.77±0.72 | 0.348 |
DAS28-CRP | 2.31±0.87 | 2.36±1.04 | 2.23±0.54 | 0.44 |
TJC | 1 (0∼2) | 1 (0∼2) | 0 (0∼1) | 0.243 |
SJC | 1 (0∼2) | 1 (0∼2) | 1 (0∼2) | 0.514 |
ESR (mm/hr) | 21 (11∼35) | 22 (11.25∼37.5) | 17 (9∼30) | 0.092 |
CRP (mg/dL) | 0.14 (0.04∼0.66) | 0.24 (0.05∼1.03) | 0.09 (0.03∼0.4) | 0.046 |
Values are presented as number (%), mean±standard deviation, or median (interquartile range). TNF-
During the study period, 87 (58.8%) patients with RA discontinued anti-TNF-
Table 4 . Comparisons of cause of discontinuation in patients with rheumatoid arthritis receiving for anti-TNF-
Variable | RA patients (n=87) | Past criteria (n=62) | Current criteria (n=25) | p-value |
---|---|---|---|---|
Lack of efficacy | 57 (65.5) | 41 (66.1) | 16 (64) | 0.913 |
Adverse events | 12 (13.8) | 9 (14.5) | 3 (12) | |
Poor health literacy | 6 (6.9) | 4 (6.5) | 2 (8) | |
Pregnancy | 4 (4.6) | 2 (3.2) | 2 (8) | |
Patient’s want | 2 (2.3) | 1 (1.6) | 1 (4) | |
Cost | 1 (1.1) | 1 (1.6) | 0 (0) | |
Unknown | 5 (5.7) | 4 (6.5) | 1 (4) |
Values are presented as number (%). TNF-
To the best of our knowledge, this is the first study to investigate the impact of the amendment of the KNHI reimbursement criteria for anti-TNF-
It is utmost important to establish appropriate reimbursement policies for the access to anti-TNF-
Treatment to target (T2T) and adjusting therapy according to the validated composite measure of disease activity, such as the DAS and EULAR response criteria, are recognized as a standard strategy in RA management to reach optimal clinical outcomes [25]. Regarding the initiation and maintenance of anti-TNF-
Drug persistence can be interpreted as surrogate markers for long-term efficacy, safety, and tolerability and should be considered in real-world decision making [26-28], because lifelong treatment with DMARDs is required for patients with RA [2,3]. Thus, identifying associated factors for and promoting drug persistence are crucial for optimal care of RA patients. Given that lack of efficacy has been proposed as a major cause for discontinuation of anti-TNF-
The potential limitations in the present study should be discussed. First, although this is a multicenter study, the RA patients evaluated in the current study may not be representative of all patients in Korea, and the sample size was small. To overcome this limitation, the analysis of the national claim database or large-scale registry data can be an alternative approach to investigate the clinical impact of the amendment of the national reimbursement criteria. Second, owing to its retrospective nature, some missing data were encountered during data collection in our study, which may have influenced the study results. Third, because the majority of RA patents (71.6%) was treated with adalimumab and only 4.7% of patients received infliximab, we could not analyze the study results according to each anti-TNF-
In conclusion, although treatment response and drug persistence did not differ significantly between the past and current KNHI reimbursement criteria, the baseline disease activities in RA patients treated with anti-TNF-
Supplementary data can be found with this article online at https://doi.org/10.4078/jrd.2020.27.3.159.
We specially thank the late Professor Sung-Il Kim who devoted himself to education, research, and patient care in Division of Rheumatology, Department of Internal Medicine, Pusan National University School of Medicine (1963 to 2011). This work was supported by clinical research grant from Pusan National University Hospital in 2020.
No potential conflict of interest relevant to this article was reported.
Y.K.: study design, data collection and analysis and writing manuscript, G.T.K.: data interpretation and revision of manuscript, Y.S.S.: data collection and interpretation, H.O.K.: data interpretation and revision of manuscript, H.N.L.: data collection, S.G.L.: study design, data analysis and interpretation, writing manuscript and coordination of entire study.
J Rheum Dis 2020; 27(3): 159-167
Published online July 1, 2020 https://doi.org/10.4078/jrd.2020.27.3.159
Copyright © Korean College of Rheumatology.
Yunkyung Kim, M.D.1, Geun-Tae Kim, M.D., Ph.D.1, Young Sun Suh, M.D., Ph.D.2, Hyun-Ok Kim, M.D., Ph.D.2, Han-Na Lee, M.D.3,4, Seung-Geun Lee, M.D., Ph.D.3,4
1Division of Rheumatology, Department of Internal Medicine, Kosin University College of Medicine, Busan, 2Division of Rheumatology, Department of Internal Medicine, Gyeongsang National University School of Medicine, Gyeongsang National University Changwon Hospital, Changwon, 3Division of Rheumatology, Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, 4Biomedical Research Institute, Pusan National University Hospital, Busan, Korea
Correspondence to:Seung-Geun Lee http://orcid.org/0000-0002-5205-3978
Division of Rheumatology, Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, 179 Gudeok-ro, Seo-gu, Busan 49241, Korea. E-mail:sglee@pusan.ac.kr
This is an Open Access article, which permits unrestricted non-commerical use, distribution, and reproduction in any medium, provided the original work is properly cited.
Objective. To investigate the impact of the amendment of the Korean National Health Insurance (KNHI) reimbursement criteria for anti-tumor necrosis factor-α (TNF-α) agents based on from conventional clinical and laboratory measurements to disease activity score of 28 joints (DAS28) on treatment pattern, clinical response, and persistence rate in patients with rheumatoid arthritis (RA). Methods. This multicenter retrospective cohort study evaluated 148 RA patients eligible for the initiation of anti- TNF-α agents as the first-line biologics by either the past (n=95) or current (n=53) KNHI reimbursement criteria. Persistence was defined as the duration between the initiation and discontinuation of anti-TNFα agents. Results. In total, 106 (71.6%), 35 (23.6%), and 7 (4.7%) RA patients started treatment with adalimumab, etanercept, and infliximab, respectively. RA patients who received anti-TNF-α agents under the current reimbursement criteria had a significantly lower mean DAS28-erythrocyte sedimentation rate (ESR) (6.02 vs. 6.95, p<0.001) and daily prednisolone-equivalent glucocorticoid dose (4.51 vs. 6.17 mg, p<0.001) than those who received anti-TNF-α agents under the past reimbursement criteria. No significant differences in the 1-year remission rate defined by DAS28-ESR<2.6 (17.9% vs. 30.2%, p=0.085) and the persistence rate (p=0.703) between the past and current reimbursement criteria was observed. Conclusion. Our data suggest that less active RA patients can receive reimbursement for anti-TNF-α agents under the current criteria, and the amendment of the KNHI reimbursement criteria may improve access to anti-TNF-α agents without affecting the treatment response and persistence rate.
Keywords: Rheumatoid arthritis, Tumor necrosis factor-alpha, Health insurance, Health care costs, Treatment outcome
Anti-tumor necrosis factor-
To overcome this issue, most countries worldwide have their own health insurance reimbursement criteria for anti-TNF-
This is a retrospective cohort study performed at three university-affiliated rheumatology centers in South Korea. We evaluated 148 RA patients aged between 20 and 85 years who were newly initiated anti-TNF-
The following demographic and clinical data at the index date were collected: age, sex, disease duration, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), rheumatoid factor (RF), anti-cyclic citrullinated peptide (CCP) antibody, DAS28-ESR, DAS28-CRP, type of anti-TNF-
At the 1-year follow-up, data regarding DAS28-ESR, DAS28-CRP, remission rate, and treatment response were obtained. Remission was defined as DAS28-ESR <2.6. Treatment response to anti-TNF-
Persistence was defined as the duration from the index date to the first discontinuation of anti-TNF-
The past and current KNHI reimburse criteria for the initiation and maintenance of anti-TNF-
Table 1 . Detailed information regarding the past and current Korean National Health Insurance (KNHI) reimbursement criteria.
Items | Past KNHI criteria | Current KNHI criteria |
---|---|---|
Requirement to start anti-TNF- | Met the 1987 to the 1987 American Society of Rheumatology diagnostic criteria | Met the 2010 American College of Rheumatology/European League against Rheumatism classification criteria |
ESR>28 mm/hr or CRP>2.0 mg/dL | DAS-28 >5.1 or 3.2≤ DAS-28 ≤5.1 with radiographic progression | |
Morning stiffness ≥45 min | cDMARDs ≥2 including MTX and 3 months/each cDMARD | |
Active joint count ≥20 or ≥6 including ≥4 large joints in case of ≥4 large joints involved | ||
cDMARDs ≥2 including MTX and 3 months/each cDMARD | ||
Criteria to maintain anti-TNF- | ESR (≤28 mm/hr or improvement ≥20%) or CRP (≤2.0 mg/dL or improvement ≥20%) after 3 months | |
Active joint count (tender & swollen) ≤50% after 3 months | Improvement of DAS-28 ≥1.2 after 6 months |
TNF-
All values are expressed as mean±standard deviation or median (interquartile range) for continuous variables as appropriate, and as numbers (percentages) for categorical variables. Clinical data of the study population were compared using the Student t-test or Mann-Whitney U-test for continuous variables and the chi-square test for categorical variables, as appropriate. The drug persistence to anti-TNF-
The baseline clinical characteristics of the 148 patients with RA who started anti-TNF-
Table 2 . Comparisons of baseline clinical characteristics according to the past and current Korean National Health Insurance (KNHI) reimbursement criteria for anti-TNF-
Variable | RA patients (n=148) | Past KNHI criteria (n=95) | Current KNHI criteria (n=53) | p-value |
---|---|---|---|---|
Age (yr) | 47.9±12.0 | 47.1±12.4 | 49.5±11.2 | 0.252 |
Sex, female | 132 (89.2) | 85 (89.5) | 47 (88.7) | 0.881 |
Disease duration (mo) | 13 (4∼39) | 11 (5.5∼35.75) | 17 (4∼40.5) | 0.271 |
Seropositive RA* | 146 (98.6) | 90 (96.8) | 50 (94.3) | 0.668 |
GCs user | 140 (95.9) | 90 (95.7) | 50 (96.2) | 0.905 |
Daily GCs dose (mg) | 5.57±2.73 | 6.17±2.76 | 4.51±2.35 | <0.001 |
Number of previous cDMARDs | 2 (2∼3) | 2 (2∼3) | 2 (2∼3) | 0.096 |
Concurrent cDMARDs | ||||
MTX | 136 (91.9) | 90 (94.7) | 46 (86.8) | 0.09 |
HCQ | 8 (5.4) | 5 (5.3) | 3 (5.7) | 0.918 |
SSZ | 12 (8.1) | 5 (5.3) | 7 (13.2) | 0.09 |
LEF | 2 (1.4) | 1 (1.1) | 1 (1.9) | 0.673 |
TAC | 1 (0.7) | 1 (1.1) | 0 (0) | 1 |
Anti-TNF- | ||||
Adalimumab | 106 (71.6) | 70 (73.7) | 36 (67.9) | 0.75 |
Etanercept | 35 (23.6) | 21 (22.3) | 14 (25.9) | |
Infliximab | 7 (4.7) | 4 (4.3) | 3 (4.7) | |
DAS28-ESR | 6.61±0.99 | 6.95±0.98 | 6.02±0.71 | <0.001 |
DAS28-CRP | 5.86±1 | 6.15±1.05 | 5.34±0.66 | <0.001 |
TJC | 12 (7∼18) | 16 (9.8∼20) | 8 (6∼10.5) | <0.001 |
SJC | 6 (10∼18) | 16 (9.5∼19.3) | 7 (4∼8.5) | <0.001 |
ESR (mm/hr) | 54 (34∼74) | 58 (37∼78) | 44 (28∼74) | 0.078 |
CRP (mg/dL) | 1.95 (0.72∼4.11) | 1.97 (0.88∼4) | 1.92 (0.64∼4.23) | 0.437 |
Values are presented as mean±standard deviation, number (%), or median (interquartile range). TNF-
The flow diagram of the current study is presented in Figure 1. Data regarding the 1-year treatment response to anti-TNF-
Table 3 . Comparisons of 1-year clinical outcome in patients with rheumatoid arthritis receiving for anti-TNF-
Variable | RA patients (n=148) | Past KNHI criteria (n=95) | Current KNHI criteria (n=53) | p-value |
---|---|---|---|---|
RA patients with 1-year treatment response data | 86 (58.1) | 51 (53.7) | 35 (66) | 0.167 |
Remission* | 33 (22.3) | 17 (17.9) | 16 (30.2) | 0.085 |
EULAR response | ||||
Moderate to good response | 84 (56.8) | 49 (51.6) | 35 (66) | 0.119 |
No response | 2 (1.4) | 2 (2.1) | 0 (0) | |
DAS28-ESR | 2.89±0.96 | 2.97±1.09 | 2.77±0.72 | 0.348 |
DAS28-CRP | 2.31±0.87 | 2.36±1.04 | 2.23±0.54 | 0.44 |
TJC | 1 (0∼2) | 1 (0∼2) | 0 (0∼1) | 0.243 |
SJC | 1 (0∼2) | 1 (0∼2) | 1 (0∼2) | 0.514 |
ESR (mm/hr) | 21 (11∼35) | 22 (11.25∼37.5) | 17 (9∼30) | 0.092 |
CRP (mg/dL) | 0.14 (0.04∼0.66) | 0.24 (0.05∼1.03) | 0.09 (0.03∼0.4) | 0.046 |
Values are presented as number (%), mean±standard deviation, or median (interquartile range). TNF-
During the study period, 87 (58.8%) patients with RA discontinued anti-TNF-
Table 4 . Comparisons of cause of discontinuation in patients with rheumatoid arthritis receiving for anti-TNF-
Variable | RA patients (n=87) | Past criteria (n=62) | Current criteria (n=25) | p-value |
---|---|---|---|---|
Lack of efficacy | 57 (65.5) | 41 (66.1) | 16 (64) | 0.913 |
Adverse events | 12 (13.8) | 9 (14.5) | 3 (12) | |
Poor health literacy | 6 (6.9) | 4 (6.5) | 2 (8) | |
Pregnancy | 4 (4.6) | 2 (3.2) | 2 (8) | |
Patient’s want | 2 (2.3) | 1 (1.6) | 1 (4) | |
Cost | 1 (1.1) | 1 (1.6) | 0 (0) | |
Unknown | 5 (5.7) | 4 (6.5) | 1 (4) |
Values are presented as number (%). TNF-
To the best of our knowledge, this is the first study to investigate the impact of the amendment of the KNHI reimbursement criteria for anti-TNF-
It is utmost important to establish appropriate reimbursement policies for the access to anti-TNF-
Treatment to target (T2T) and adjusting therapy according to the validated composite measure of disease activity, such as the DAS and EULAR response criteria, are recognized as a standard strategy in RA management to reach optimal clinical outcomes [25]. Regarding the initiation and maintenance of anti-TNF-
Drug persistence can be interpreted as surrogate markers for long-term efficacy, safety, and tolerability and should be considered in real-world decision making [26-28], because lifelong treatment with DMARDs is required for patients with RA [2,3]. Thus, identifying associated factors for and promoting drug persistence are crucial for optimal care of RA patients. Given that lack of efficacy has been proposed as a major cause for discontinuation of anti-TNF-
The potential limitations in the present study should be discussed. First, although this is a multicenter study, the RA patients evaluated in the current study may not be representative of all patients in Korea, and the sample size was small. To overcome this limitation, the analysis of the national claim database or large-scale registry data can be an alternative approach to investigate the clinical impact of the amendment of the national reimbursement criteria. Second, owing to its retrospective nature, some missing data were encountered during data collection in our study, which may have influenced the study results. Third, because the majority of RA patents (71.6%) was treated with adalimumab and only 4.7% of patients received infliximab, we could not analyze the study results according to each anti-TNF-
In conclusion, although treatment response and drug persistence did not differ significantly between the past and current KNHI reimbursement criteria, the baseline disease activities in RA patients treated with anti-TNF-
Supplementary data can be found with this article online at https://doi.org/10.4078/jrd.2020.27.3.159.
We specially thank the late Professor Sung-Il Kim who devoted himself to education, research, and patient care in Division of Rheumatology, Department of Internal Medicine, Pusan National University School of Medicine (1963 to 2011). This work was supported by clinical research grant from Pusan National University Hospital in 2020.
No potential conflict of interest relevant to this article was reported.
Y.K.: study design, data collection and analysis and writing manuscript, G.T.K.: data interpretation and revision of manuscript, Y.S.S.: data collection and interpretation, H.O.K.: data interpretation and revision of manuscript, H.N.L.: data collection, S.G.L.: study design, data analysis and interpretation, writing manuscript and coordination of entire study.
Table 1 . Detailed information regarding the past and current Korean National Health Insurance (KNHI) reimbursement criteria.
Items | Past KNHI criteria | Current KNHI criteria |
---|---|---|
Requirement to start anti-TNF- | Met the 1987 to the 1987 American Society of Rheumatology diagnostic criteria | Met the 2010 American College of Rheumatology/European League against Rheumatism classification criteria |
ESR>28 mm/hr or CRP>2.0 mg/dL | DAS-28 >5.1 or 3.2≤ DAS-28 ≤5.1 with radiographic progression | |
Morning stiffness ≥45 min | cDMARDs ≥2 including MTX and 3 months/each cDMARD | |
Active joint count ≥20 or ≥6 including ≥4 large joints in case of ≥4 large joints involved | ||
cDMARDs ≥2 including MTX and 3 months/each cDMARD | ||
Criteria to maintain anti-TNF- | ESR (≤28 mm/hr or improvement ≥20%) or CRP (≤2.0 mg/dL or improvement ≥20%) after 3 months | |
Active joint count (tender & swollen) ≤50% after 3 months | Improvement of DAS-28 ≥1.2 after 6 months |
TNF-
Table 2 . Comparisons of baseline clinical characteristics according to the past and current Korean National Health Insurance (KNHI) reimbursement criteria for anti-TNF-
Variable | RA patients (n=148) | Past KNHI criteria (n=95) | Current KNHI criteria (n=53) | p-value |
---|---|---|---|---|
Age (yr) | 47.9±12.0 | 47.1±12.4 | 49.5±11.2 | 0.252 |
Sex, female | 132 (89.2) | 85 (89.5) | 47 (88.7) | 0.881 |
Disease duration (mo) | 13 (4∼39) | 11 (5.5∼35.75) | 17 (4∼40.5) | 0.271 |
Seropositive RA* | 146 (98.6) | 90 (96.8) | 50 (94.3) | 0.668 |
GCs user | 140 (95.9) | 90 (95.7) | 50 (96.2) | 0.905 |
Daily GCs dose (mg) | 5.57±2.73 | 6.17±2.76 | 4.51±2.35 | <0.001 |
Number of previous cDMARDs | 2 (2∼3) | 2 (2∼3) | 2 (2∼3) | 0.096 |
Concurrent cDMARDs | ||||
MTX | 136 (91.9) | 90 (94.7) | 46 (86.8) | 0.09 |
HCQ | 8 (5.4) | 5 (5.3) | 3 (5.7) | 0.918 |
SSZ | 12 (8.1) | 5 (5.3) | 7 (13.2) | 0.09 |
LEF | 2 (1.4) | 1 (1.1) | 1 (1.9) | 0.673 |
TAC | 1 (0.7) | 1 (1.1) | 0 (0) | 1 |
Anti-TNF- | ||||
Adalimumab | 106 (71.6) | 70 (73.7) | 36 (67.9) | 0.75 |
Etanercept | 35 (23.6) | 21 (22.3) | 14 (25.9) | |
Infliximab | 7 (4.7) | 4 (4.3) | 3 (4.7) | |
DAS28-ESR | 6.61±0.99 | 6.95±0.98 | 6.02±0.71 | <0.001 |
DAS28-CRP | 5.86±1 | 6.15±1.05 | 5.34±0.66 | <0.001 |
TJC | 12 (7∼18) | 16 (9.8∼20) | 8 (6∼10.5) | <0.001 |
SJC | 6 (10∼18) | 16 (9.5∼19.3) | 7 (4∼8.5) | <0.001 |
ESR (mm/hr) | 54 (34∼74) | 58 (37∼78) | 44 (28∼74) | 0.078 |
CRP (mg/dL) | 1.95 (0.72∼4.11) | 1.97 (0.88∼4) | 1.92 (0.64∼4.23) | 0.437 |
Values are presented as mean±standard deviation, number (%), or median (interquartile range). TNF-
Table 3 . Comparisons of 1-year clinical outcome in patients with rheumatoid arthritis receiving for anti-TNF-
Variable | RA patients (n=148) | Past KNHI criteria (n=95) | Current KNHI criteria (n=53) | p-value |
---|---|---|---|---|
RA patients with 1-year treatment response data | 86 (58.1) | 51 (53.7) | 35 (66) | 0.167 |
Remission* | 33 (22.3) | 17 (17.9) | 16 (30.2) | 0.085 |
EULAR response | ||||
Moderate to good response | 84 (56.8) | 49 (51.6) | 35 (66) | 0.119 |
No response | 2 (1.4) | 2 (2.1) | 0 (0) | |
DAS28-ESR | 2.89±0.96 | 2.97±1.09 | 2.77±0.72 | 0.348 |
DAS28-CRP | 2.31±0.87 | 2.36±1.04 | 2.23±0.54 | 0.44 |
TJC | 1 (0∼2) | 1 (0∼2) | 0 (0∼1) | 0.243 |
SJC | 1 (0∼2) | 1 (0∼2) | 1 (0∼2) | 0.514 |
ESR (mm/hr) | 21 (11∼35) | 22 (11.25∼37.5) | 17 (9∼30) | 0.092 |
CRP (mg/dL) | 0.14 (0.04∼0.66) | 0.24 (0.05∼1.03) | 0.09 (0.03∼0.4) | 0.046 |
Values are presented as number (%), mean±standard deviation, or median (interquartile range). TNF-
Table 4 . Comparisons of cause of discontinuation in patients with rheumatoid arthritis receiving for anti-TNF-
Variable | RA patients (n=87) | Past criteria (n=62) | Current criteria (n=25) | p-value |
---|---|---|---|---|
Lack of efficacy | 57 (65.5) | 41 (66.1) | 16 (64) | 0.913 |
Adverse events | 12 (13.8) | 9 (14.5) | 3 (12) | |
Poor health literacy | 6 (6.9) | 4 (6.5) | 2 (8) | |
Pregnancy | 4 (4.6) | 2 (3.2) | 2 (8) | |
Patient’s want | 2 (2.3) | 1 (1.6) | 1 (4) | |
Cost | 1 (1.1) | 1 (1.6) | 0 (0) | |
Unknown | 5 (5.7) | 4 (6.5) | 1 (4) |
Values are presented as number (%). TNF-
Yoon-Jeong Oh, Bumhee Park, Ki Won Moon
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