Effectiveness of TNF inhibitors in patients with very early axial spondyloarthritis, defined as duration of ≤1 year of back pain: longitudinal observational data from the SCQM registry
Mauro Bachmann, Andrea Götschi, Annik Steimer, Jonas Brändli, Kristina Bürki, Michael Andor, Claudia Lourenço Rodrigues, Simon Grosswiler, Martin Wendiggensen, Diego Kyburz, Michael J Nissen, Burkhard Möller, Sabine Adler, Diana Dan, Frauke Förger, Oliver Distler, Sofia Ramiro

TL;DR
This study found that TNF inhibitors are equally effective in patients with very early axial spondyloarthritis as in those with established disease.
Contribution
The study is the first to evaluate TNFi effectiveness in 'very early' axial spondyloarthritis using longitudinal observational data.
Findings
No significant difference in achieving low disease activity with TNFi in very early versus established axSpA.
TNFi retention rates were similar between very early and established axSpA patients.
Objective signs of inflammation were more common in very early axSpA.
Abstract
To characterise patients with ‘very early’ axial spondyloarthritis (axSpA), defined as a duration ≤1 year of back pain and to determine the effectiveness of a first tumour necrosis factor inhibitor (TNFi) in very early versus established axSpA in a large observational registry. We included a total of 3324 patients with axSpA from the Swiss Clinical Quality Management in Rheumatic Diseases registry with available data on duration of back pain (≤1 year=very early axSpA, n=441; >1 year and ≤2 years=early axSpA, n=218; >2 years=established axSpA, n=2575). A first TNFi was started in 31%, 38% and 36% of patients with very early, early and established axSpA. Adjusted logistic regression models were used to compare the probability of achieving low disease activity status according to the Axial Spondyloarthritis Disease Activity Score (ASDAS <2.1) at 1 year. Drug survival was analysed with…
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| Parameter | N | Very early axSpA | N | Early axSpA | N | Established axSpA | P value |
|---|---|---|---|---|---|---|---|
| Male sex, n (%) | 441 | 244 (55) | 218 | 97 (46) | 2575 | 1333 (52) | 0.03 |
| Age, years | 441 | 37.5 (12.6) | 218 | 38.0 (12.5) | 2575 | 43.3 (12.7) | <0.001 |
| Symptom duration, years, median (IQR) | 434 | 0.8 (0.6; 5.0) | 216 | 1.5 (1.2; 1.8) | 2551 | 10.5 (5.6; 19.2) | <0.001 |
| Axial symptoms duration, years, median (IQR) | 441 | 0.4 (0.1; 0.7) | 218 | 1.4 (1.2; 1.7) | 2575 | 10.1 (5.4; 18.8) | <0.001 |
| Time since diagnosis, years, median (IQR) | 434 | 0.3 (0.1; 0.6) | 218 | 0.5 (0.2; 1.0) | 2544 | 3.0 (0.6; 8.6) | <0.001 |
| HLA-B27, n (%) | 380 | 253 (67) | 200 | 117 (54) | 2302 | 1386 (54) | 0.001 |
| Family history of axSpA, n (%) | 395 | 83 (21) | 191 | 30 (16) | 2269 | 529 (23) | 0.04 |
| Body mass index | 392 | 24.7 (4.3) | 190 | 25.9 (4.8) | 2230 | 25.8 (4.7) | <0.001 |
| Education | 358 | 166 | 1939 | 0.02 | |||
| Compulsory | 47 (13) | 18 (11) | 347 (18) | ||||
| Vocational | 211 (59) | 97 (52) | 1002 (52) | ||||
| Academic | 100 (28) | 51 (31) | 590 (30) | ||||
| Recruiting rheumatologist | 441 | 218 | 2575 | <0.001 | |||
| Private practice | 252 (57) | 117 (54) | 1386 (54) | ||||
| Non-academic hospital | 120 (27) | 61 (28) | 548 (21) | ||||
| Academic hospital | 69 (16) | 40 (18) | 641 (25) | ||||
| ASAS 2009 classification criteria, n (%) | 367 | 287 (78) | 177 | 130 (73) | 1922 | 1649 (86) | <0.001 |
| Radiographic axSpA, n (%) | 181 | 113 (62) | 64 | 27 (42) | 865 | 661 (76) | <0.001 |
| IBP (ASAS definition) (ever), n (%) | 397 | 245 (62) | 187 | 120 (64) | 2123 | 1637 (77) | <0.001 |
| Sacroiliitis on MRI (inflammation) | 434 | 238 (55) | 211 | 133 (63) | 2462 | 1044 (42) | <0.001 |
| Peripheral arthritis (ever), n (%) | 441 | 188 (43) | 214 | 69 (32) | 2527 | 1097 (43) | 0.01 |
| Enthesitis (ever), n (%) | 441 | 302 (69) | 217 | 128 (59) | 2550 | 1674 (66) | 0.054 |
| Uveitis (ever), n (%) | 341 | 41 (12) | 163 | 8 (5) | 1943 | 344 (18) | <0.001 |
| Psoriasis (ever), n (%) | 343 | 30 (9) | 167 | 16 (10) | 1973 | 106 (10) | 0.61 |
| Inflammatory bowel disease (ever), n (%) | 327 | 33 (10) | 160 | 12 (8) | 1918 | 184 (10) | 0.64 |
| Fibromyalgia, n (%) | 215 | 1 (1) | 97 | 2 (2) | 1573 | 50 (4) | 0.02 |
| Depression and/or anxiety, n (%) | 245 | 11 (5) | 127 | 14 (11) | 1953 | 210 (11) | 0.003 |
| Physician global disease activity | 425 | 4.1 (2.3) | 212 | 3.4 (2.2) | 2431 | 3.4 (2.2) | <0.001 |
| Patient global disease activity | 358 | 5.0 (2.8) | 177 | 4.9 (2.7) | 2038 | 4.8 (2.8) | 0.38 |
| BASDAI | 344 | 4.6 (2.2) | 163 | 4.3 (2.2) | 1915 | 4.5 (2.3) | 0.33 |
| ASDAS | 311 | 2.9 (1.0) | 149 | 2.6 (1.0) | 1693 | 2.7 (1.0) | 0.003 |
| Elevated CRP*, n (%) | 403 | 169 (42) | 199 | 46 (23) | 2265 | 665 (29) | <0.001 |
| CRP (mg/L), median (IQR) | 406 | 5.9 (2.0; 12.7) | 201 | 3.0 (1.0; 7.2) | 2267 | 3.1 (1.0; 8.0) | <0.001 |
| BASFI | 345 | 3.0 (2.5) | 162 | 2.5 (2.3) | 1896 | 2.9 (2.5) | 0.09 |
| BASMI | 406 | 1.5 (1.5) | 191 | 1.2 (1.2) | 2240 | 1.9 (1.8) | <0.001 |
| SF-12, physical component summary score | 326 | 38.0 (10.4) | 155 | 40.5 (10.5) | 1797 | 39.5 (10.3) | 0.02 |
| SF-12, mental component summary score | 326 | 43.8 (11.1) | 155 | 44.6 (10.6) | 1797 | 43.7 (11.4) | 0.77 |
| Non-steroidal anti-inflammatory drugs, n (%) | 400 | 371 (93) | 194 | 174 (90) | 2248 | 1921 (86) | <0.001 |
| Conventional synthetic DMARDs, n (%) | 441 | 57 (13) | 218 | 24 (11) | 2573 | 297 (12) | 0.08 |
| Tumour necrosis factor inhibitors, n (%) | 441 | 134 (30) | 218 | 98 (45) | 2575 | 1254 (49) | <0.001 |
| Interleukin-17 inhibitors, n (%) | 441 | 4 (1) | 218 | 4 (2) | 2575 | 68 (3) | 0.07 |
| Parameter | N | Very early axSpA | N | Early axSpA | N | Established axSpA | P value |
|---|---|---|---|---|---|---|---|
| Male sex, n (%) | 138 | 76 (55) | 83 | 38 (46) | 928 | 485 (52) | 0.40 |
| Age, years | 138 | 37.9 (13.1) | 83 | 40.3 (13.1) | 928 | 43.4 (12.3) | <0.001 |
| Symptom duration, years, median (IQR) | 138 | 0.9 (0.6; 5.6) | 81 | 1.4 (1.3; 1.8) | 921 | 10.9 (5.9; 19.7) | <0.001 |
| Axial symptoms duration, years, median (IQR) | 138 | 0.5 (0.3; 0.7) | 83 | 1.4 (1.1; 1.6) | 928 | 10.2 (5.3; 18.9) | <0.001 |
| HLA-B27, n (%) | 123 | 71 (58) | 74 | 39 (53) | 855 | 569 (67) | 0.01 |
| Body mass index | 127 | 24.5 (4.2) | 73 | 25.5 (4.9) | 854 | 25.8 (4.6) | 0.01 |
| Education | 114 | 65 | 751 | 0.04 | |||
| Compulsory, n (%) | 17 (15) | 4 (6) | 127 (17) | ||||
| Vocational, n (%) | 75 (66) | 44 (68) | 415 (55) | ||||
| Academic, n (%) | 22 (19) | 17 (26) | 209 (28) | ||||
| ASAS 2009 classification criteria, n (%) | 116 | 87 (75) | 65 | 48 (74) | 711 | 622 (88) | <0.001 |
| Radiographic axSpA, n (%) | 54 | 34 (63) | 28 | 10 (36) | 364 | 281 (77) | <0.001 |
| IBP (ASAS definition) (ever), n (%) | 122 | 79 (65) | 70 | 46 (66) | 718 | 579 (81) | <0.001 |
| Sacroiliitis on MRI (inflammation) | 130 | 75 (58) | 72 | 45 (63) | 803 | 365 (46) | 0.001 |
| Peripheral arthritis (ever), n (%) | 134 | 65 (49) | 77 | 31 (40) | 856 | 364 (43) | 0.37 |
| Enthesitis (ever), n (%) | 234 | 91 (68) | 77 | 49 (64) | 844 | 589 (70) | 0.51 |
| Uveitis (ever), n (%) | 103 | 6 (6) | 62 | 6 (10) | 656 | 107 (16) | 0.01 |
| Psoriasis (ever), n (%) | 103 | 12 (12) | 66 | 8 (12) | 668 | 76 (11) | 0.98 |
| Inflammatory bowel disease (ever), n (%) | 101 | 8 (8) | 60 | 5 (8) | 656 | 54 (8) | 0.99 |
| Fibromyalgia, n (%) | 66 | 0 (0) | 37 | 0 (0) | 597 | 24 (4) | 0.07 |
| Depression and/or anxiety, n (%) | 80 | 3 (4) | 53 | 4 (8) | 725 | 65 (9) | 0.19 |
| Physician global disease activity | 123 | 5.3 (1.9) | 67 | 4.6 (2.0) | 763 | 4.7 (1.8) | 0.01 |
| Patient global disease activity | 106 | 6.4 (2.3) | 63 | 5.6 (2.1) | 670 | 6.0 (2.5) | 0.07 |
| BASDAI | 105 | 5.7 (1.9) | 56 | 5.1 (1.9) | 653 | 5.3 (2.0) | 0.04 |
| ASDAS | 96 | 3.4 (0.9) | 48 | 3.0 (0.9) | 592 | 3.2 (0.9) | 0.01 |
| Elevated CRP*, n (%) | 119 | 60 (50) | 66 | 27 (41) | 734 | 328 (45) | 0.39 |
| CRP (mg/L), median (IQR) | 120 | 6.8 (3.0; 16.0) | 66 | 4.7 (1.1; 9.9) | 735 | 6.0 (2.0; 13.0) | 0.04 |
| BASFI | 104 | 3.9 (2.4) | 54 | 3.1 (2.0) | 632 | 3.6 (2.4) | 0.15 |
| BASMI | 113 | 1.5 (1.4) | 58 | 1.1 (1.0) | 684 | 2.1 (1.9) | <0.001 |
| SF-12, physical component summary score | 95 | 34.9 (9.3) | 48 | 37.8 (9.1) | 572 | 36.3 (9.1) | 0.13 |
| SF-12, mental component summary score | 95 | 40.5 (10.0) | 48 | 42.4 (9.5) | 572 | 42.2 (11.2) | 0.37 |
| Non-steroidal anti-inflammatory drugs, n (%) | 90 | 87 (97) | 45 | 43 (96) | 537 | 509 (95) | 0.74 |
| Conventional synthetic DMARDs, n (%) | 138 | 21 (15) | 83 | 11 (13) | 927 | 115 (12) | 0.65 |
| Start period of first TNFi | 138 | 83 | 928 | 0.02 | |||
| 2004–2014 | 90 (65) | 39 (47) | 510 (55) | ||||
| 2015–2025 | 48 (35) | 44 (53) | 418 (45) |
| Outcome | N | Very early axSpA | Early axSpA | Established axSpA | Comparison | OR | 95% CI | P value |
|---|---|---|---|---|---|---|---|---|
| ASDAS <2.1 | 648 | 38 (45) | 22 (46) | 219 (42) | Very early versus established axSpA | 1.12 | 0.70 to 1.78 | 0.63 |
| Early versus established axSpA | 1.15 | 0.63 to 2.08 | 0.65 | |||||
| ASDAS <1.3 | 648 | 17 (20) | 8 (17) | 105 (20) | Very early versus established axSpA | 0.99 | 0.54 to 1.73 | 0.98 |
| Early versus established axSpA | 0.78 | 0.33 to 1.64 | 0.54 | |||||
| ASDAS-CII | 488 | 33 (50) | 12 (39) | 158 (40) | Very early versus established axSpA | 1.48 | 0.87 to 2.49 | 0.15 |
| Early versus established axSpA | 0.93 | 0.43 to 1.95 | 0.85 | |||||
| ASDAS-MI | 488 | 18 (27) | 6 (19) | 71 (18) | Very early versus established axSpA | 1.69 | 0.91 to 3.04 | 0.09 |
| Early versus established axSpA | 1.08 | 0.39 to 2.57 | 0.87 |
| Model 1 | ASDAS <2.1 | ASDAS <1.3 | ASDAS-CII | ASDAS-MI | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | OR | 95% CI | P value | OR | 95% CI | P value | OR | 95% CI | P value | OR | 95% CI | P value |
| Very early versus established disease | 1.06 | 0.69 to 1.63 | 0.79 | 0.97 | 0.56 to 1.70 | 0.92 | 1.30 | 0.84 to 2.00 | 0.24 | 1.47 | 0.86 to 2.50 | 0.15 |
| Early versus established disease | 1.10 | 0.63 to 1.93 | 0.73 | 0.78 | 0.37 to 1.66 | 0.53 | 0.98 | 0.56 to 1.73 | 0.95 | 0.99 | 0.47 to 2.08 | 0.98 |
| Age | 0.98 | 0.97 to 0.99 | 0.003 | 0.98 | 0.96 to 0.99 | 0.003 | 0.99 | 0.98 to 1.00 | 0.052 | 0.99 | 0.97 to 1.01 | 0.18 |
| Female sex | 0.44 | 0.33 to 0.59 | <0.001 | 0.44 | 0.30 to 0.66 | <0.001 | 0.49 | 0.36 to 0.66 | <0.001 | 0.46 | 0.30 to 0.70 | <0.001 |
| HLA-B27 negativity | 0.39 | 0.28 to 0.53 | <0.001 | 0.41 | 0.25 to 0.68 | <0.001 | 0.40 | 0.28 to 0.58 | <0.001 | 0.41 | 0.25 to 0.68 | <0.001 |
| Education vocational versus compulsory | 2.07 | 1.27 to 3.39 | 0.004 | 2.00 | 1.01 to 3.97 | 0.047 | 1.17 | 0.74 to 1.85 | 0.51 | 0.92 | 0.51 to 1.68 | 0.79 |
| Education academic versus compulsory | 3.18 | 1.89 to 5.35 | <0.001 | 2.82 | 1.39 to 5.72 | 0.004 | 1.28 | 0.75 to 2.15 | 0.36 | 1.09 | 0.58 to 2.04 | 0.78 |
| Model 2 | ASDAS <2.1 | ASDAS <1.3 | ASDAS-CII | ASDAS-MI | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | OR | 95% CI | P value | OR | 95% CI | P value | OR | 95% CI | P value | OR | 95% CI | P value |
| Very early versus established disease | 1.08 | 0.70 to 1.68 | 0.73 | 0.85 | 0.48 to 1.52 | 0.59 | 0.99 | 0.62 to 1.58 | 0.96 | 0.96 | 0.51 to 1.81 | 0.89 |
| Early versus established disease | 1.04 | 0.59 to 1.84 | 0.90 | 0.73 | 0.34 to 1.56 | 0.41 | 1.10 | 0.59 to 2.04 | 0.76 | 1.17 | 0.50 to 2.76 | 0.71 |
| Age | 0.99 | 0.97 to 1.00 | 0.03 | 0.99 | 0.97 to 1.00 | 0.06 | 0.99 | 0.97 to 1.00 | 0.10 | 0.99 | 0.97 to 1.01 | 0.32 |
| Female sex | 0.41 | 0.30 to 0.55 | <0.001 | 0.40 | 0.26 to 0.60 | <0.001 | 0.42 | 0.30 to 0.58 | <0.001 | 0.36 | 0.22 to 0.60 | <0.001 |
| HLA-B27 negativity | 0.37 | 0.27 to 0.52 | <0.001 | 0.43 | 0.26 to 0.71 | <0.001 | 0.37 | 0.26 to 0.54 | <0.001 | 0.37 | 0.21 to 0.66 | <0.001 |
| Education vocational versus compulsory | 1.84 | 1.10 to 3.08 | 0.02 | 1.99 | 0.98 to 4.04 | 0.056 | 1.77 | 1.07 to 2.94 | 0.03 | 1.77 | 0.86 to 3.63 | 0.12 |
| Education academic versus compulsory | 2.64 | 1.52 to 4.57 | <0.001 | 2.53 | 1.22 to 5.25 | 0.01 | 2.30 | 1.27 to 4.14 | 0.01 | 2.78 | 1.29 to 5.95 | 0.01 |
| Body mass index | 0.96 | 0.93 to 1.00 | 0.03 | 0.92 | 0.87 to 0.97 | 0.001 | 0.96 | 0.92 to 1.00 | 0.04 | 0.93 | 0.88 to 0.98 | 0.01 |
| Current smoking | 0.85 | 0.62 to 1.18 | 0.34 | 0.62 | 0.41 to 0.93 | 0.02 | 0.84 | 0.60 to 1.19 | 0.34 | 0.81 | 0.52 to 1.28 | 0.37 |
| ASDAS | 0.77 | 0.64 to 0.93 | 0.01 | 1.85 | 1.25 to 2.73 | 0.002 | 2.97 | 2.39 to 3.69 | <0.001 | 6.26 | 4.56 to 8.59 | <0.001 |
| Sacroiliitis on MRI (inflammation) | 1.24 | 0.89 to 1.72 | 0.21 | 1.33 | 0.90 to 1.97 | 0.15 | 1.12 | 0.78 to 1.61 | 0.55 | 1.25 | 0.78 to 2.00 | 0.35 |
| Variable | Unadjusted analysis | Adjusted model 1 | Adjusted model 2 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| HR | 95% CI | P value | HR | 95% CI | P value | HR | 95% CI | P value | |
| Very early versus established disease | 1.08 | 0.87 to 1.34 | 0.47 | 1.00 | 0.80 to 1.25 | 0.99 | 1.05 | 0.84 to 1.31 | 0.68 |
| Early versus established disease | 1.19 | 0.90 to 1.56 | 0.22 | 1.14 | 0.87 to 1.51 | 0.34 | 1.14 | 0.86 to 1.51 | 0.36 |
| Age | 1.00 | 0.99 to 1.00 | 0.59 | 1.00 | 0.99 to 1.00 | 0.57 | |||
| Female sex | 1.55 | 1.33 to 1.80 | <0.001 | 1.60 | 1.37 to 1.86 | <0.001 | |||
| HLA-B27 negativity | 1.48 | 1.26 to 1.75 | <0.001 | 1.48 | 1.26 to 1.75 | <0.001 | |||
| Education vocational versus compulsory | 0.97 | 0.78 to 1.20 | 0.76 | 0.94 | 0.75 to 1.18 | 0.59 | |||
| Education academic versus compulsory | 0.88 | 0.69 to 1.12 | 0.30 | 0.86 | 0.67 to 1.12 | 0.26 | |||
| Body mass index | 1.01 | 0.99 to 1.03 | 0.31 | ||||||
| Current smoking | 1.16 | 0.98 to 1.38 | 0.09 | ||||||
| ASDAS | 0.91 | 0.82 to 1.00 | 0.045 | ||||||
| Sacroiliitis on MRI (inflammation) | 0.92 | 0.78 to 1.08 | 0.31 | ||||||
- —USZ Foundation
- —MLR Foundation
- —http://dx.doi.org/10.13039/100006483AbbVie
- —http://dx.doi.org/10.13039/100004336Novartis
- —Swiss Society of Rheumatology
- —http://dx.doi.org/10.13039/100011110UCB
- —Lilly
- —iQone
- —Zurich Rheumatism Foundation
- —http://dx.doi.org/10.13039/100011218Sandoz
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Taxonomy
TopicsSpondyloarthritis Studies and Treatments · Rheumatoid Arthritis Research and Therapies · Spine and Intervertebral Disc Pathology
Introduction
Whether a ‘window of opportunity’ exists in axial spondyloarthritis (axSpA) remains a subject of debate.1 2 This concept proposes that initiating treatment early may lead to improved clinical outcomes and potentially reduce long-term structural damage. However, since various definitions of ‘early disease’ have been used in previous clinical trials in axSpA,3 the members of the Assessment of SpondyloArthritis international Society (ASAS) have reached a consensus to define ‘early axSpA’ as a duration of ≤2 years of axial symptoms.4 This definition was considered optimistic, as the current global mean diagnostic delay for axSpA remains substantial (5.6 years).5
The new ASAS definition for early axSpA has already been used to assess the short-term clinical outcome in a few studies. In a Swiss observational study, the initiation of a first tumour necrosis factor inhibitor (TNFi) during the early axSpA phase was not found to be associated with better drug retention or higher response rates compared with starting treatment later.6 Comparable response rates in both early and established disease were also observed in post hoc analyses of randomised controlled trials of upadacitinib and bimekizumab in axSpA.7 8 Furthermore, a meta-analysis of 11 trials found no significant differences in the efficacy of biological disease-modifying antirheumatic drugs (bDMARDs) across thresholds ranging from 2 to 5 years of symptom duration.9 A shorter cut-off for early disease could not be analysed in this meta-analysis due to the low number of patients who started a bDMARD within 1 year of axial symptom onset in the majority of axSpA trials included.
Given the lack of available data on treatment outcomes in early disease using even shorter symptom duration thresholds, we thought to analyse the effectiveness of a first TNFi in patients with ‘very early axSpA’, defined as a duration ≤1 year of back pain, compared with those with longer symptom duration, using the Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) patient registry.10
Methods
Study population
Patients diagnosed with axSpA by their treating rheumatologist and registered in the SCQM axSpA cohort9 between 1 January 2004 and 1 April 2025 were included in this study, provided that information on the onset of axial symptoms was available. The treating rheumatologists record the date of the first symptoms in the online database on the patient’s inclusion in the SCQM registry. They are then prompted to indicate whether the patient has experienced back pain lasting ≥3 months (yes or no) based on the interpretation of the patient’s medical history. If the answer is ‘yes’, the rheumatologist is asked to select various items from a checklist to assess whether the back pain meets the criteria for inflammatory back pain according to ASAS, followed by the starting date of back pain. The onset date of axial symptoms, as recorded in the SCQM registry, refers solely to back pain (not morning stiffness).6 Assessments of patients at inclusion and subsequent visits are performed in accordance with ASAS recommendations.11 C reactive protein (CRP) levels were collected together with information on the threshold at which the respective laboratory considered the value to be elevated.
Disease stages were determined at two time points: (1) at inclusion in the SCQM registry for comparison of patient characteristics and (2) at initiation of first TNFi therapy for analyses of treatment effectiveness. At each time point, patients were categorised as having either (a) very early disease (≤1 year of back pain duration at the corresponding reference date), (b) early disease (duration of back pain >1 year and ≤2 years) or (c) established disease (>2 years of back pain duration). Onset dates recorded as 1 January or 1 June were interpreted as approximate placeholders indicating that the exact onset date was unknown. These cases were therefore treated as interval-censored, assuming symptom onset occurred at an unspecified time within that calendar year. Patients for whom disease stage could not be determined unambiguously—because the 1-year threshold overlapped with the reference date—were excluded from the analysis.
Effectiveness of treatment with a first TNF inhibitor in very early versus established axSpA and early versus established axSpA
Data on the use of TNFi are entered by the rheumatologist with start and discontinuation dates. In a first exploratory analysis, we analysed changes in CRP levels over time in patients with very early, early and established axSpA using a log-linear regression model. CRP values were log-transformed prior to the analysis to account for their skewed distribution. This approach estimates the relative difference in CRP at 1 year (±6 months) between the groups while adjusting for baseline CRP.
The primary outcome of our analysis of treatment effectiveness was the achievement of at least a low disease activity status (Axial Spondyloarthritis Disease Activity Score (ASDAS) <2.1) at 1 year (±6 months) after treatment initiation. Patients who had discontinued their first TNFi before this time point for reasons other than remission were considered non-responders (response/tolerance analysis).12 Additional response criteria assessed included achievement of remission (ASDAS inactive disease status corresponding to ASDAS <1.3), achievement of a clinically important improvement in ASDAS (ASDAS-CII) and achievement of a major improvement in ASDAS (ASDAS-MI). Drug survival was chosen as a secondary outcome. The hazard of treatment discontinuation was estimated for patients in the three groups with established axSpA serving as reference group. Observations were censored either at the last visit in the SCQM registry or the patient’s last confirmation of the use of the respective TNFi agent via the mySCQM application.
Statistical analyses
R statistical software (V.4.4.2) was used for all statistical analyses.13 Baseline characteristics of patients with very early, early and established axSpA were compared using the Kruskal-Wallis rank-sum test for continuous variables and the χ^2^ test for categorical variables. All tests were two-sided, with a significance level of 0.05.
Logistic regression was applied to estimate unadjusted and adjusted ORs for treatment response in patients with very early versus established disease and in patients with early disease versus established disease. Model 1 was adjusted for potential confounders such as age, sex (female vs male), human leucocyte antigen-B27 (HLA-B27) status (negative vs positive) and education (vocational vs compulsory and academic vs compulsory). Model 2 included additional adjustments for ASDAS, inflammatory changes on MRI of the sacroiliac joints (yes vs no), body mass index (BMI) and smoking status (current vs former/never) all at baseline. Crude time to discontinuation of the first TNFi was compared between groups with log-rank tests. Multiple adjusted Cox proportional hazards models were used to estimate HRs for drug discontinuation in patients with very early axSpA versus established axSpA and in early axSpA versus established axSpA. The adjusted models included the same covariates as the response analyses. As drug survival might also depend on the number of therapeutic options, we conducted a sensitivity analysis by adding a time-period variable to model 2 (start of treatment 2015–2025 vs 2004–2014 as the reference).
We anticipated that proportions of patients starting TNFi in the different symptom duration groups might differ across distinct time periods following the availability of additional therapeutic options after 2015; therefore, we conducted an additional sensitivity analysis.
Missing data were handled under the missing-at-random assumption using multiple imputation by chained equations (MICE package V.3.17.0). Sensitivity analyses were performed on patients without missing data (complete case analyses). In the imputation model for the response analyses, all covariates and all components of the outcomes were included.14 For the retention analyses, covariates were imputed based on all covariates, the time-to-event variable transformed using the cumulative hazard function and the event indicator. For derived variables (eg, BMI, ASDAS), only their components were included in the models. Composite variables (ASDAS improvements), BMI and elevated CRP were passively imputed. Auxiliary variables (Physician Global Assessment, Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) at treatment start and follow-up for the response analyses, swollen joint count 28 and time from back pain onset to diagnosis) were incorporated in both models to improve imputation quality.
Based on the maximum number of patients with at least one missing value, we generated 65 imputations with 50 iterations, using predictive mean matching (five donors) for continuous variables, logistic regression for binary variables and proportional-odds models for ordered variables. Imputation quality was assessed using trace plots and by comparing the distributions of observed and imputed values. Sensitivity analyses using alternative imputation specifications yielded similar results. Estimates were pooled using Rubin’s rules.15
Results
Characterisation of patients with very early axSpA at inclusion in the SCQM registry
A total of 3234 patients with axSpA had available information on the date of onset of back pain, out of 5609 patients with a confirmed diagnosis of axSpA during follow-up (online supplemental figure S1). According to our definition of ‘very early’ axSpA (≤1 year of back pain duration), 441 patients met this criterion. An additional 218 patients were classified as having early axSpA (>1 year and ≤2 years of back pain) and 2575 as having established disease (>2 years of back pain). The proportion of patients with very early axSpA remained stable across calendar periods: 11% in 2011–2015, 11% in 2016–2020, 10% in 2021–2025. Demographic and clinical characteristics of the three groups are presented in table 1. The median (IQR) duration of back pain was 0.4 (0.1; 0.7) years in the very early axSpA group, 1.4 (1.2; 1.7) years in the early axSpA group and 10.1 (5.4; 18.8) years in the established axSpA group. Patients with very early axSpA were more frequently male and HLA-B27 positive. Objective signs of inflammation, such as elevated CRP and sacroiliac inflammation on MRI, were also more common in this group. No significant differences were observed between groups in the BASDAI and the Bath Ankylosing Spondylitis Functional Index. As expected, reflecting their substantially longer symptom duration, patients with established axSpA showed more impairment of spinal mobility, as assessed by the Bath Ankylosing Spondylitis Mobility Index. A higher proportion of patients with established axSpA was already receiving bDMARD therapy at inclusion in the SCQM registry.
Characterisation of patients starting a first TNFi after inclusion in the SCQM registry
A total of 138 patients with very early axSpA, 83 patients with early axSpA and 928 patients with established axSpA initiated treatment with a first TNFi after being included in the SCQM cohort (online supplemental figure S1). The demographic and clinical characteristics of these patients are shown in table 2. Since these patients were bio-naïve, a higher proportion exhibited objective signs of inflammation, such as elevated CRP levels and active sacroiliitis on MRI, along with a higher BASDAI and ASDAS. With the exception of a higher prevalence of uveitis among patients with established axSpA, other extra-musculoskeletal and musculoskeletal manifestations were similarly distributed across the three groups. Some differences were observed between the groups regarding the proportion of patients starting TNFi between 2004 and 2014 and between 2015 and 2025 (table 2).
Treatment response analyses
Slightly higher crude response rates were observed in patients with very early axSpA compared with those with established axSpA after 1 year of treatment for the majority of analysed outcomes (table 3): 45% vs 42% for ASDAS <2.1 (OR 1.12, 95% CI 0.70 to 1.78), 20% vs 20% for ASDAS <1.3 (OR 0.99, 95% CI 0.54 to 1.73), 50% vs 40% for ASDAS-CII (OR 1.48, 95% CI 0.87 to 2.49) and 27% vs 18% for ASDAS-MI (OR 1.69, 95% CI 0.91 to 3.04). Statistical models, adjusted for potential confounders and disease activity variables after multiple imputation of missing covariates, are presented in tables45. The OR for achieving an ASDAS <2.1 in very early versus established axSpA was 1.06 (95% CI 0.69 to 1.63) after adjustment for age, sex, HLA-B27 and education (table 4). The OR remained similar after adjustment for baseline ASDAS, BMI, smoking and sacroiliac inflammation (OR 1.08, 95% CI 0.70 to 1.68; table 5). Additional adjustment for the time period of initiation of the first TNFi (from 2004 to 2014 vs 2015 to 2025) only marginally affected the estimates in our model (online supplemental table S2). A comparison between the results of this model using multiple imputation and a complete case analysis is shown in the online supplemental figure S2. The response rates for additional response outcomes (ASDAS <1.3, ASDAS-CII and ASDAS-MI) were also comparable between patients with very early and established disease and likewise between patients with early and established disease in these analyses (tables35). Male sex, HLA-B27 positivity and higher baseline ASDAS levels were consistently associated with significantly better response rates across nearly all outcomes (tables45). Higher educational levels and lower BMI levels were additionally associated with better treatment responses in the models that included adjustment for baseline ASDAS (table 5).
With regard to the CRP response, the relative difference in CRP at 1 year (±6 months), adjusted for baseline CRP, was comparable between very early and established axSpA and between early and established axSpA (online supplemental table S1).
TNFi discontinuation analyses
The median maintenance duration of the first TNFi was comparable across the three groups: 2.3 years (95% CI 1.5 to 2.9) in very early axSpA, 1.6 years (95% CI 0.9 to 3.2) in early axSpA and 2.3 years (95% CI 2.1 to 2.8) in established axSpA (log-rank test p=0.40; online supplemental figure S3). The reasons for TNFi discontinuation (adverse events, remission, patient’s preference, pregnancy, surgery and other factors) were similarly distributed across groups (p=0.96). The estimated unadjusted hazards of discontinuing the first TNFi were also comparable: 1.08, 95% CI 0.87 to 1.34 for very early versus established axSpA and 1.19, 95% CI 0.90 to 1.56 for early versus established axSpA (table 6).
No significant difference in drug discontinuation rates was observed between very early and established axSpA, or between early and established axSpA, in the adjusted analyses after accounting for potential confounders and baseline disease activity (adjusted models 1 and 2 in table 6). Additional adjustment for the time-period of treatment initiation (2004–2014 vs 2015–2025) had no impact on the hazard of TNFi discontinuation in very early versus established axSpA and in early versus established axSpA (online supplemental table S3). A comparison between the analysis using multiple imputation of missing data in model 2 and a complete case analysis is shown in the online supplemental figure S4. Female sex and HLA-B27 negativity were associated with a significantly higher risk of TNFi discontinuation, whereas a higher ASDAS at baseline was associated with a significantly lower risk (table 6).
Discussion
Recent studies in axSpA, including a meta-analysis of 11 randomised controlled trials of bDMARDs, have not demonstrated an effect of symptom duration—particularly when early disease is defined as ≤2 years of axial symptoms—on short-term treatment outcomes.58 The choice of a 2-year threshold in the ASAS consensus4 was not based on specific research evidence; rather, it was defined by consensus, among expert opinion and it was influenced by the persistently long diagnostic delay in axSpA.5 It also aligned with the initial concept of a 2-year therapeutic window of opportunity in rheumatoid arthritis, during which achieving remission is believed to prevent irreversible structural damage.16 Therefore, we investigated whether initiating TNFi within a shorter period after the onset of axial symptoms (a disease stage we refer to as ‘very early axSpA’, to distinguish it from the ASAS definition) might influence treatment effectiveness.
We could not demonstrate that treatment response was different between patients with very early disease and patients with established axSpA (symptom duration of at least 2 years). It remains unclear whether earlier expectations may have been based on inaccurate assumptions. Previous studies suggesting a potential benefit of early treatment may have been affected by methodological shortcomings.1719 Although these studies included patients with short symptom duration, active treatment was not directly compared with placebo in both early and established disease populations.20 This issue was addressed in the referenced meta-analysis,9 which did not confirm a short-term advantage of early treatment.
As there is no specific referral strategy within the SCQM registry, other factors may have contributed to the relatively rapid initiation of a bDMARD within 1 year of the onset of back pain in the SCQM registry. First, patients with very early axSpA who initiate a bDMARD have significantly higher subjective and objective disease activity and are therefore more easily identified. We have partially addressed the ensuing potential bias by indication through adjusting the analyses for the presence of MRI inflammation and for ASDAS at baseline. Second, the ASAS criteria for early axSpA only consider the onset of back pain, not the potential presence of other musculoskeletal or extra-musculoskeletal manifestations at an earlier time point. In a relevant proportion of cases, patients may have already been identified based on other inflammatory symptoms, with the additional onset of back pain triggering the decision to initiate a bDMARD. The IQR of the overall symptom duration in very early axSpA is considerably broader than that of axial symptom duration: 0.6–5 years versus 0.1–0.7 years, respectively. Finally, patients who are eligible for bDMARD treatment are preferentially enrolled in the SCQM registry, as Swiss regulatory authorities require ongoing monitoring of all patients receiving costly biologic therapies under the SCQM framework. Additionally, rheumatologists can offset the costs of biologic drugs used for patients enrolled in the SCQM registry against their overall treatment expenditures.
Our study indicates that, in real-world clinical practice,21 rheumatologists appropriately select patients for bDMARD therapy even at a very early disease stage. Since the publication of the ASAS classification criteria in 2009,22 the diagnostic delay in axSpA has steadily decreased.23 However, the proportion of patients with symptom duration ≤1 year included in the SCQM registry has not increased over the past 20 years. This likely reflects the fact that the proportion of patients with very high disease activity, who are most easily identifiable, has remained constant. It also highlights the challenging balance between achieving an early diagnosis and avoiding misdiagnosis.24
Some limitations of our analyses must be acknowledged. In addition to the observational design of our study, potential recall bias regarding the onset of symptoms is inherent to the nature of the research question. Because MRIs are not collected systematically in the SCQM registry, no central reading was available to confirm the presence of inflammatory sacroiliac changes at baseline. Furthermore, MRIs are not recommended for routine use to assess treatment response in real-world clinical practice, and as such, were unavailable for evaluating response using this imaging modality. Finally, and perhaps most importantly, the concept of ‘early disease’ is inherently complex and depends on several factors that are difficult or impossible to measure accurately. This makes it unlikely that our analyses could fully adjust for all relevant confounders. Moreover, although our sample size was larger than in previous studies, the CIs indicate that a substantial difference between the groups is unlikely, but cannot be ruled out.
The current analysis only informs us about short-term clinical outcomes. Whether initiating treatment early and maintaining it affects long-term clinical outcomes remains to be determined. A longitudinal association between early axSpA and lower disease activity over 10 years of follow-up has been reported in the German Spondyloarthritis Inception Cohort (GESPIC).25 However, these findings require confirmation, as the distinction between early and established disease should ideally be made at the time of diagnosis or treatment start rather than at the more arbitrary time point of inclusion in an observational cohort. Although GESPIC represents an inception cohort, a proportion of patients were already receiving TNFi at inclusion.
The prospect of a ‘window of opportunity’ in axSpA relates to disease modification, such as reducing the long-term structural damage.17 Several observational studies have consistently suggested that TNFi may have the potential to limit the accumulation of osteoproliferative changes in the spine.2631 The impact of non-steroidal anti-inflammatory drugs or non-pharmacological interventions, such as physical exercise or lifestyle factors, on radiographic progression remains controversial.3234 Demonstrating that early diagnosis can reduce radiographic progression will be critical. Although a recent longitudinal analysis attempted to address this issue, classification of early versus late disease was based on the first available radiograph rather than at diagnosis, limiting meaningful conclusions about disease modification.35
In conclusion, our study does not indicate higher TNFi effectiveness in patients who initiate treatment within 1 year of symptom onset compared with those who start therapy later.
Supplementary material
10.1136/rmdopen-2025-006647online supplemental appendix 1
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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