A JAK Inhibitor for Treatment of Rheumatoid Arthritis: The Baricitinib Experience
Abstract
:1. Introduction
1.1. Pharmacodynamic and Pharmacokinetic Properties of Baricitinib
1.2. Dose Flexibility
2. Efficacy across RA Populations in Randomised Controlled Trials (RCTs)
2.1. RA Populations
2.2. Clinical Outcomes
2.3. Radiographic Outcomes
2.4. Patient-Reported Outcomes: Pain and Physical Function
2.5. Temporary Treatment Interruption and Tapering
3. Baricitinib in Real-World Settings
3.1. Characteristics of Baricitinib-Treated Patients in Real-World Settings
3.2. Treatment Outcomes for Baricitinib in Real-Life Settings
3.2.1. Factors Affecting Treatment Outcomes—Drug Discontinuation, Drug Survival and Effectiveness
3.2.2. Effectiveness of Baricitinib Monotherapy in RWE Settings
3.2.3. Effect of Baricitinib on Glucocorticoid Tapering
3.2.4. Effect of Baricitinib on Ultrasound-Assessed Inflammation
3.2.5. RWE Effectiveness and Drug Survival of Baricitinib Compared to TNFi and Other Mode of Action bDMARDs
3.2.6. To Cycle or to Switch?
3.3. Safety
3.3.1. Baricitinib Safety in RCTs
3.3.2. New EULAR Recommendations for Risk Management Regarding JAKi Safety
3.3.3. Baricitinib Safety from RWE
3.3.4. Baricitinib vs. TNFi Safety from RWE
3.3.5. JAKi Safety from RWE
3.3.6. Risk Assessment for Personalised Medicine for Patients with RA
4. Future Directions
Supplementary Materials
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Baricitinib | Tofacitinib | Upadacitinib | Filgotinib | Peficitinib | |
---|---|---|---|---|---|
[4,9,10,15] | [16,17,18] | [19,20,21] | [22,23,24] | [25,26] | |
Chemical structure | |||||
Dose | 2 or 4 mg QD | 5 mg BID | 15 mg XR QD | 200 mg QD | 150 mg QD (100 mg QD a) |
(5 mg QD a) | |||||
(100 mg QD a) | |||||
11 mg XR QD | |||||
JAK selectivity (in vitro), IC50, nM | JAK1: 5.9, | JAK1: 3.2, | JAK1: 47, | JAK1: 10, | JAK1: 3.9, |
JAK2: 5.7, | JAK2: 4.1, | JAK2: 120, | JAK2: 28, | JAK2: 5.0, | |
JAK3: 560, | JAK3: 1.6, | JAK3: 2304, | JAK3: 810, | JAK3: 0.7, | |
TYK2: 53 | TYK2: 34 | TYK2: 4690 | TYK2: 116 | TYK2: 4.8 | |
Half-life (hours) | 12.5 | ~3 | 8–14 | 7 b | 10–18 |
Excretion | Parent and metabolites: 75% renal, 20% faeces | Unchanged parent: 70% hepatic, 30% renal | Parent and metabolites: 24% urine, 38% faeces | Parent and metabolites: 87% urine, 15% faeces | Parent and metabolites: ~37% urine, 57% faeces |
Drug–drug interactions | Strong (OAT3) inhibitors | Strong CYP3A4 inhibitors or inducers, moderate CYP3A4 inhibitors with strong CYP2C19 inhibitors, immunosuppressants | Strong CYP3A4 inhibitors or inducers | CES2 inhibitors, CYP1A2 or P-gp or BCRP substrates | P-gp inhibitor verapamil |
BIO-1 (Bio-naïve) [61] | SCQM-RA [62] | RA-BE-REAL [77] | ARTIS [65] | DANBIO [66] | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Patients, n | BARI | TNFi | BARI a | TNFi | BARI | b/tsDMARD b | BARI | TNFi | BARI | ETN | ADA |
63 | 33 | 273 | 408 | 509 | 565 | 1420 | 6036 | 275 | 1830 | 1332 | |
Age (years) | 60 | 56 c | 59 | 52 ** | 59 | 57 * | 61 | 58 d | 59 | 57 d | 57 d |
Disease duration (years) | 8 e | 7 d,e | 13 | 8 ** | 10 | 9 * | 13 | 8 d | 14 | 10 d | 10 d |
Disease activity (CDAI) | NR | NR d | 15 | 14 c | 24 | 24 c | 20 | 18 d | 4.35 f | 3.75 d,f | 3.65 d,f |
Smokers (%) | NR | NR d | NR | NR d | NR | NR d | 11 | 12 d | 17 | 22 d | 23 d |
Bio-naïve (%) | 100 | 100 d | 17 | 48 **,g | 48 | 61 d | Mostly d,h | 3 | 42 d | 55 d | |
≥2 DMARDs (%) | NR | NR d | 63 | 29 **,d,g | 39 | 29 d | Mostly d,h | 86 | 26 d | 22 d | |
Comorbidities (%) | NR | NR d | NR | NR d | NR | NRd | 3 (VTE) | 2 (VTE) d | NR e | NR d | NR d |
Real-World Study | Effectiveness | Survival (Kaplan–Meier) | Survival (Adjusted HR) | |||
---|---|---|---|---|---|---|
or % Discontinuation (Crude) | ||||||
CDAI | DAS28-ESR | Overall | Bio-Naïve | Overall | Bio-Naïve | |
ARTIS [65] | BARI >> TNFi | BARI > TNFi | BARI = TNFi | NR | BARI >> TNFi | NR |
at 3 and | at 3 mo | |||||
12 mo | ||||||
SCQM-RA [62] | BARI = TNFi at 12 mo | NR | BARI > TNFi | BARI > TNFi | BARI >> TNFi | BARI >> TNFi |
DANBIO [66] | NR | NR | BARI = TNFi | NR a | BARI >> TNFi b | NR a |
RA-BE-REAL [77] | BARI > b/tsDMARD c at 6 mo d | NR | BARI > b/tsDMARD c at 6 mo d | BARI > b/tsDMARD c at 6 mo d | NR | NR |
BIO-1 (Bio-naïve) [61] | NR | NR | NR | BARI > TNFi e | NR | BARI >> TNFi |
SNDS (Hoisnard et al., 2023) [97] | SNDS (Salinas et al., 2022) [33] | ARTIS (Salinas et al., 2022) [33] | ARTIS (Frisell et al., 2023; [79] Molander et al., 2023 [80]) | |
---|---|---|---|---|
Study design | Cohort study comparing new users of JAKis (tofacitinib or baricitinib) and TNFi (adalimumab) | Focused analysis on data from SNDS: reanalysis of data from the SNDS cohort study comparing new users of baricitinib and TNFi | Focused analysis on data from ARTIS: reanalysis of data from the ARTIS cohort study comparing new users of baricitinib and TNFi | Nationwide register-based cohort study comparing individual b/tsDMARDs (baricitinib vs. individual TNFi) |
Study population | Eligible patients included in the SNDS data between 1 Jul 2017 and 31 May 2021 | Eligible patients included in the SNDS data between 1 September 2017 and 31 December 2019 | Eligible patients were identified between February 2017 and December 2020 | All patients with RA in Sweden who started any b/tsDMARD between 1 January 2010 and 31 December 2020 |
Patients, n | 8481 JAKi recipients (5065 baricitinib); 7354 TNFi recipients | 2859 baricitinib recipients’ propensity score matched with TNFi recipients | 1685 baricitinib recipients’ propensity score matched with TNFi patients | 1837 baricitinib recipients; 20,117 b/tsDMARD recipients in total (MACE); 1825 baricitinib recipients; 19,950 TNFi recipients (VTE) |
Exposure | JAKi median follow-up b 1.2 years in SNDS | Baricitinib median exposure 0.47 years in SNDS | Baricitinib mean exposure 1.38 years in ARTIS | Baricitinib mean exposure 1.9 years in ARTIS (MACE); NR (VTE) |
Statistical analysis | Analysis results based on propensity score weighted (IPTW) Cox regression | Analysis based on propensity score matched cohorts evaluated with modified Poisson regression | Analysis based on propensity score matched cohorts evaluated with modified Poisson regression | Crude and adjusted incidence rates and Cox regressions (VTE) adjusted with stabilised IPTW (MACE) |
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Taylor, P.C.; Laedermann, C.; Alten, R.; Feist, E.; Choy, E.; Haladyj, E.; De La Torre, I.; Richette, P.; Finckh, A.; Tanaka, Y. A JAK Inhibitor for Treatment of Rheumatoid Arthritis: The Baricitinib Experience. J. Clin. Med. 2023, 12, 4527. https://doi.org/10.3390/jcm12134527
Taylor PC, Laedermann C, Alten R, Feist E, Choy E, Haladyj E, De La Torre I, Richette P, Finckh A, Tanaka Y. A JAK Inhibitor for Treatment of Rheumatoid Arthritis: The Baricitinib Experience. Journal of Clinical Medicine. 2023; 12(13):4527. https://doi.org/10.3390/jcm12134527
Chicago/Turabian StyleTaylor, Peter C., Cedric Laedermann, Rieke Alten, Eugen Feist, Ernest Choy, Ewa Haladyj, Inmaculada De La Torre, Pascal Richette, Axel Finckh, and Yoshiya Tanaka. 2023. "A JAK Inhibitor for Treatment of Rheumatoid Arthritis: The Baricitinib Experience" Journal of Clinical Medicine 12, no. 13: 4527. https://doi.org/10.3390/jcm12134527
APA StyleTaylor, P. C., Laedermann, C., Alten, R., Feist, E., Choy, E., Haladyj, E., De La Torre, I., Richette, P., Finckh, A., & Tanaka, Y. (2023). A JAK Inhibitor for Treatment of Rheumatoid Arthritis: The Baricitinib Experience. Journal of Clinical Medicine, 12(13), 4527. https://doi.org/10.3390/jcm12134527