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  • BMJ  (3)
  • Haibel, H.  (3)
  • Torgutalp, M.  (3)
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  • BMJ  (3)
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  • 1
    In: Annals of the Rheumatic Diseases, BMJ, Vol. 80, No. Suppl 1 ( 2021-06), p. 456.2-457
    Abstract: Therapeutic decisions in RA patients should be based on regular disease activity assessment using scores like the Simplified Disease Activity Index (SDAI) or the Clinical Disease Activity Index (CDAI) [1]. The CDAI has the benefit of being immediately available, while the SDAI encompasses with the C-reactive protein (CRP) an acute phase reactant and therefore is the recommended score for the use in clinical trials. However, CRP determination takes hours to days, thus hindering the treat-to-target concept using the SDAI. Quick quantitative CRP (qCRP) tests allow CRP measurement within a few minutes. Therefore, qCRP based SDAI (SDAI-Q) could combine the advantages of both scores. Objectives: To validate the SDAI-Q in a prospective, multicenter study of RA patients. Methods: The study was conducted in five centers in Berlin, Germany. Consecutive adult (≥ 18 years) RA patients were included. In addition to a rheumatological assessment, including patient reported outcomes, routine CRP was measured in the local labs. Additionally, a qCRP testing with the „QuikRead go instrument“ (Aidian Oy, Finland) was performed locally (measurement range 0.5 - 200 mg/l). Statistical analysis included descriptive statistics, cross tabulation and weighted Cohen´s kappa comparing disease activity categories, Bland-Altman plots and intraclass correlation coefficient (ICC) for CRP, qCRP, SDAI, SDAI-Q and CDAI. Results: In this study 100 RA patients were included (mean age: 60.9 years, mean disease duration: 11.4 years, 73.0% were female, 63.0% RF positive, 57.0% ACPA positive, 49.0% positive and 29% negative for both parameters). 75.0% were treated with csDMARD, 15% with tsDMARDs, 39.0% with bDMARDs and 40% with glucocorticoids (mean prednisolone equivalent: 5.4 mg prednisolone/d). Mean CRP and qCRP-levels were 6.97 and 7.89 mg/l, respectively (ICC 0.992; 95%CI: 0.987; 0.995). Comparing SDAI-Q and SDAI, all patients (100%) achieved the same disease activity status (Table 1A); weighted Cohen´s kappa was 1.000 (95%CI: 1.000; 1.000). ICC for SDAI-Q- and SDAI-values was 1.000 (95%CI: 1.000; 1.000). The agreement of SDAI-Q and SDAI is shown in a Bland-Altman plot (Figure 1). When comparing the CDAI with the SDAI-Q 93 patients (93%) were assigned to the same disease activity category (Table 1B); weighted Cohen´s kappa was 0.929 (95%CI: 0.878; 0.981). ICC for numerical values of SDAI-Q and CDAI was 0.989 (95%CI: 0.978; 0.994). Conclusion: SDAI-Q showed an absolute agreement with SDAI on the assignment to disease activity categories with the important advantage of time. With SDAI-Q, rheumatologists could base their clinical decision-making immediately on an index-based disease activity measurement by using a composite score considering acute phase reactants. Consequently, SDAI-Q can be integrated in clinical routine and clinical trials and could be implemented into the treat-to-target concept in RA patients. References: [1]Smolen JS, et al. Ann Rheum Dis. 2016 Jan; 75(1):3-15. Table 1. A) Disease activity categories by SDAI-Q vs. SDAI; B) Disease activity categories by SDAI-Q vs. CDAI A SDAI-Q (n = 100 ) Remission (≤ 3.3) Low Disease Activity ( 〉 3.3 and ≤ 11) Moderate Disease Activity ( 〉 11 and ≤ 26) High Disease Activity ( 〉 26) SDAI Remission (≤ 3.3) 28 (28.0% ) Low Disease Activity ( 〉 3.3 and ≤ 11) 31 (31.0% ) Moderate Disease Activity ( 〉 11 and ≤ 26) 35 (35.0% ) High Disease Activity ( 〉 26) 6 (6.0% ) B SDAI-Q (n = 100 ) Remission (≤ 3.3) Low Disease Activity ( 〉 3.3 and ≤ 11) Moderate Disease Activity ( 〉 11 and ≤ 26) High Disease Activity ( 〉 26) CDAI Remission (≤ 2.8) 26 (26.0% ) Low Disease Activity ( 〉 2.8 and ≤ 10) 2 (2.0% ) 28 (28.0% ) 2 (2.0% ) Moderate Disease Activity ( 〉 10 and ≤ 22) 3 (3.0% ) 33 (33.0% ) High Disease Activity ( 〉 22) 6 (6.0% ) Fields highlighted in red indicate that disease activity categories do not match. SDAI = Simplified Disease Activity Index; SDAI-Q = SDAI calculated with a quick quantitative CRP assay; CDAI = Clinical Disease Activity Index. Figure 1. Bland-Altman plot for SDAI and SDAI-Q Acknowledgements The authors would like to deeply thank Braun T, Doerwald C, Deter N, Höppner C, Lackinger J, Lorenz C, Lunkwitz K, Mandt B, Sron S and Zernicke J for their practical support and coordinating the study. Funding statement: The AQUA study was supported by an unrestricted research grant from Novartis. Testing kits were provided free of charge from Aidian Oy, Finland. Disclosure of Interests: None declared
    Type of Medium: Online Resource
    ISSN: 0003-4967 , 1468-2060
    RVK:
    Language: English
    Publisher: BMJ
    Publication Date: 2021
    detail.hit.zdb_id: 1481557-6
    Location Call Number Limitation Availability
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  • 2
    In: Annals of the Rheumatic Diseases, BMJ, Vol. 80, No. Suppl 1 ( 2021-06), p. 813-814
    Abstract: Psoriatic arthritis (PsA) is a heterogeneous disease with multiple musculoskeletal and dermatological manifestations. Due to this multifaceted clinical appearance, international guidelines do not provide a clear recommendation for one specific score to assess disease activity in PsA [1]. The Disease Activity Index for Psoriatic Arthritis (DAPSA), a validated, unidimensional score focusing on joint involvement, is one of the recommended options [1] . However, routine determination of C-reactive protein (CRP) to calculate DAPSA values takes hours to days. In contrast, quick quantitative CRP (qCRP) tests require only a few minutes and might facilitate regular assessment of the DAPSA (as Q-DAPSA) in clinical routine. Objectives: To validate the Q-DAPSA in a prospective, multicenter study of PsA patients. Since the Disease Activity Score 28 (DAS28) is not only used in rheumatoid arthritis, but also in PsA patients, the study also investigated the performance of a qCRP based DAS28 (DAS28-qCRP) in a PsA cohort. Methods: The study was conducted in five centers in Berlin, Germany. Consecutive adult (≥ 18 years) PsA patients were included. In addition to a rheumatological assessment, including patient reported outcomes (PROs), routine CRP and erythrocyte sedimentation rate (ESR) were measured in the local labs. Additionally, a qCRP testing with the „QuikRead go instrument“ (Aidian Oy, Finland) was performed locally at the study center (measurement range 0.5 - 200 mg/l for hematocrit concentrations of 40 – 45%). Statistical analysis included descriptive statistics, cross tabulation and weighted Cohen´s kappa comparing disease activity categories, Bland-Altman plots and intraclass correlation coefficient (ICC) for DAPSA, Q-DAPSA, DAS28-CRP and DAS28-qCRP. Results: In this study 104 patients were included between January and October 2020 (mean age: 51.2 years, mean disease duration: 7.1 years, 49 patients (47.1%) were male). 53 patients (51.0%) were treated with a bDMARD and 37 patients (35.6%) with csDMARDs. CRP and qCRP showed mean values of 5.20 and 6.17 mg/l, respectively. With the Q-DAPSA, 103 patients (99.0%) were assigned to the same disease activity category when compared to DAPSA (Table 1). Weighted Cohen´s kappa was 0.990 (95%CI 0.970; 1.000). ICC for numerical values of DAPSA and Q-DAPSA was 1.000 (95%CI 0.999; 1.000). The agreement of Q-DAPSA and DAPSA is shown in a Bland-Altman plot (Figure 1). DAS28-CRP and -qCRP were available for 103 patients; 101 patients (98.1%) showed the same disease activity category in the DAS28-qCRP and weighted Cohen´s kappa was 0.951 (95%CI 0.886; 1.000). Conclusion: The Q-DAPSA and DAPSA showed an almost perfect agreement on the assignment to disease activity categories (99%) with the important advantage of time. With Q-DAPSA, rheumatologists could base their clinical decision-making on a disease activity measurement by using a composite score immediately. Consequently, Q-DAPSA can be integrated in clinical routine and clinical trials and could be implemented into the treat-to-target concept in PsA patients. For rheumatologists who prefer DAS28-CRP for assessing disease activity in PsA patients, DAS28-qCRP may serve as a suitable alternative. References: [1]Smolen JS, et al. Ann Rheum Dis. 2018 Jan; 77(1):3-17. Table 1. Disease activity categories by Q-DAPSA vs. DAPAS Q-DAPSA (n = 104 ) Remission (≤ 4) Low Disease Activity ( 〉 4 and ≤ 14) High Disease Activity ( 〉 14 and ≤ 28) Very high Disease Activity ( 〉 28) DAPSA Remission (≤ 4) 36 (34.6% ) 1 (1.0% ) Low Disease Activity ( 〉 4 and ≤ 14) 39 (37.5% ) High Disease Activity ( 〉 14 and ≤ 28) 22 (21.2% ) Very high Disease Activity ( 〉 28) 6 (5.8% ) The fields highlighted in red indicate that disease activity categories do not match. DAPSA = Disease activity index for Psoriatic Arthritis, Q-DAPSA = DAPSA calculated based on a quick quantitative CRP Figure 1. Bland-Altman plot for Q-DAPSA and DAPSA Acknowledgements: The authors would like to deeply thank Braun T, Doerwald C, Deter N, Höppner C, Lackinger J, Lorenz C, Lunkwitz K, Mandt B, Sron S and Zernicke J for their practical support and coordinating the study. Funding statement: The AQUA study was supported by an unrestricted research grant from Novartis. Testing kits were provided free of charge from Aidian Oy, Finland. Disclosure of Interests: None declared.
    Type of Medium: Online Resource
    ISSN: 0003-4967 , 1468-2060
    RVK:
    Language: English
    Publisher: BMJ
    Publication Date: 2021
    detail.hit.zdb_id: 1481557-6
    Location Call Number Limitation Availability
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  • 3
    In: Annals of the Rheumatic Diseases, BMJ, Vol. 80, No. Suppl 1 ( 2021-06), p. 342.1-342
    Abstract: According to international recommendations, the Ankylosing Spondylitis Disease Activity Score (ASDAS) is the preferred score for assessing disease activity in axial spondyloarthritis (axSpA) [1]. However, routine determination of C-reactive protein (CRP) to calculate ASDAS values takes hours to days. This limits the use of ASDAS in clinical routine and clinical trials and hinders the implementation of treat-to-target approaches in axSpA. Whereas quick quantitative CRP (qCRP) tests allow CRP assessment within a few minutes. In a pilot project the performance of qCRP-based ASDAS assessment (ASDAS-qCRP) was already investigated in a single center study of 50 newly diagnosed, bDMARD-naïve axSpA patients with promising results [2] . Objectives: To validate the ASDAS-qCRP in a prospective, multicenter study of axSpA patients in a typical axSpA cohort with an appropriate sample size. Methods: The study was conducted in five centers in Germany. Consecutive adult (≥ 18 years) axSpA patients were included. In addition to a rheumatological assessment, including patient reported outcomes (PROs), routine CRP and erythrocyte sedimentation rate (ESR) were measured in the local labs. Additionally, a qCRP testing with the „QuikRead go instrument“ (Aidian Oy, Finland) was performed at the study center (measurement range 0.5 - 200 mg/l for hematocrit concentrations of 40 – 45%). Statistical analysis included descriptive statistics, cross tabulation and weighted Cohen´s kappa comparing disease activity categories, Bland-Altman plots and intraclass correlation coefficient (ICC) for ASDAS-CRP and ASDAS-qCRP. Results: In this study 251 axSpA patients were included between January and September 2020 (mean age: 38.4 years; mean disease duration: 6.2 years, 159 patients (63.3%) were male, 211 (84.1%) HLA-B27 positive and 195 (77.7%) were classified as radiographic axSpA). 143 patients (57.0%) were treated with bDMARDs. CRP and qCRP showed mean values of 2.12 and 2.17 mg/l, respectively. With the ASDAS-qCRP, 242 patients (96.4%) were assigned to the same disease activity category as compared to the ASDAS based on the conventional lab CRP measurement (Table 1). Weighted Cohen´s kappa was 0.966 (95%CI: 0.943; 0.988). ICC for ASDAS-CRP- and ASDAS-qCRP-values was 0.997 (95%CI: 0.994; 0.999). The agreement of ASDAS-qCRP and ASDAS-CRP is shown in a Bland-Altman plot (Figure 1). Table 1. Disease activity categories by ASDAS-qCRP vs. ASDAS-CRP ASDAS-qCRP (n = 251) Inactive Disease ( 〈 1.3) Low Disease Activity (1.3 - 〈 2.1) High Disease Activity (2.1 - 3.5) Very high Disease Activity ( 〉 3.5) ASDAS-CRP Inactive Disease ( 〈 1.3) 56 (22.3%) 2 (0.8%) Low Disease Activity (1.3 - 〈 2.1) 62 (24.7%) 7 (2.8%) High Disease Activity (2.1 - 3.5) 97 (38.6%) Very high Disease Activity ( 〉 3.5) 27 (10.8%) The fields highlighted in red indicate that disease activity categories do not match. ASDAS = Ankylosing Spondylitis Disease Activity Score, CRP = C-reactive protein, qCRP = quick quantitative CRP Conclusion: The ASDAS-qCRP and ASDAS-CRP showed an almost perfect agreement on the assignment to disease activity categories (96%) with the important advantage of time. With ASDAS-qCRP, rheumatologists could base their clinical decision-making on a disease activity measurement by using a composite score immediately. ASDAS-qCRP, therefore, can be integrated in clinical routine and clinical trials in the future and may facilitate implementation of the treat-to-target concept in axial SpA. References: [1]Smolen JS, et al. Ann Rheum Dis. 2018 Jan; 77(1):3-17. [2]Proft F, et al. Joint Bone Spine. 2019 Jul 29. Figure 1. Bland-Altman plot for ASDAS-qCRP and ASDAS-CRP Acknowledgements: The authors would like to deeply thank Braun T, Doerwald C, Deter N, Höppner C, Lackinger J, Lorenz C, Lunkwitz K, Mandt B, Sron S and Zernicke J for their practical support and coordinating the study. Funding statement: The AQUA study was supported by an unrestricted research grant from Novartis. Testing kits were provided free of charge from Aidian Oy, Finland. Disclosure of Interests: None declared
    Type of Medium: Online Resource
    ISSN: 0003-4967 , 1468-2060
    RVK:
    Language: English
    Publisher: BMJ
    Publication Date: 2021
    detail.hit.zdb_id: 1481557-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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