2020 American College of Rheumatology Guideline for the Management of Gout

OBJECTIVE

To provide guidance for the management of gout, including indications for and optimal use of urate-lowering therapy (ULT), treatment of gout flares, and lifestyle and other medication recommendations.

METHODS

Fifty-seven population, intervention, comparator, and outcomes questions were developed, followed by a systematic literature review, including network meta-analyses with ratings of the available evidence according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology, and patient input. A group consensus process was used to compose the final recommendations and grade their strength as strong or conditional.

RESULTS

Forty-two recommendations (including 16 strong recommendations) were generated. Strong recommendations included initiation of ULT for all patients with tophaceous gout, radiographic damage due to gout, or frequent gout flares; allopurinol as the preferred first-line ULT, including for those with moderate-to-severe chronic kidney disease (CKD; stage >3); using a low starting dose of allopurinol (≤100 mg/day, and lower in CKD) or febuxostat (<40 mg/day); and a treat-to-target management strategy with ULT dose titration guided by serial serum urate (SU) measurements, with an SU target of <6 mg/dl. When initiating ULT, concomitant antiinflammatory prophylaxis therapy for a duration of at least 3-6 months was strongly recommended. For management of gout flares, colchicine, nonsteroidal antiinflammatory drugs, or glucocorticoids (oral, intraarticular, or intramuscular) were strongly recommended.

CONCLUSION

Using GRADE methodology and informed by a consensus process based on evidence from the current literature and patient preferences, this guideline provides direction for clinicians and patients making decisions on the management of gout.

REL, encoding a member of the NF-kappaB family of transcription factors, is a newly defined risk locus for rheumatoid arthritis

We conducted a genome-wide association study of rheumatoid arthritis in 2,418 cases and 4,504 controls from North America and identified an association at the REL locus, encoding c-Rel, on chromosome 2p13 (rs13031237, P = 6.01 x 10(-10)). Replication in independent case-control datasets comprising 2,604 cases and 2,882 controls confirmed this association, yielding an allelic OR = 1.25 (P = 3.08 x 10(-14)) for marker rs13031237 and an allelic OR = 1.21 (P = 2.60 x 10(-11)) for marker rs13017599 in the combined dataset. The combined dataset also provides definitive support for associations at both CTLA4 (rs231735; OR = 0.85; P = 6.25 x 10(-9)) and BLK (rs2736340; OR = 1.19; P = 5.69 x 10(-9)). c-Rel is an NF-kappaB family member with distinct functional properties in hematopoietic cells, and its association with rheumatoid arthritis suggests disease pathways that involve other recently identified rheumatoid arthritis susceptibility genes including CD40, TRAF1, TNFAIP3 and PRKCQ.

2020 American College of Rheumatology Guideline for the Management of Gout

OBJECTIVE

To provide guidance for the management of gout, including indications for and optimal use of urate-lowering therapy (ULT), treatment of gout flares, and lifestyle and other medication recommendations.

METHODS

Fifty-seven population, intervention, comparator, and outcomes questions were developed, followed by a systematic literature review, including network meta-analyses with ratings of the available evidence according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology, and patient input. A group consensus process was used to compose the final recommendations and grade their strength as strong or conditional.

RESULTS

Forty-two recommendations (including 16 strong recommendations) were generated. Strong recommendations included initiation of ULT for all patients with tophaceous gout, radiographic damage due to gout, or frequent gout flares; allopurinol as the preferred first-line ULT, including for those with moderate-to-severe chronic kidney disease (CKD; stage >3); using a low starting dose of allopurinol (≤100 mg/day, and lower in CKD) or febuxostat (<40 mg/day); and a treat-to-target management strategy with ULT dose titration guided by serial serum urate (SU) measurements, with an SU target of <6 mg/dl. When initiating ULT, concomitant antiinflammatory prophylaxis therapy for a duration of at least 3-6 months was strongly recommended. For management of gout flares, colchicine, nonsteroidal antiinflammatory drugs, or glucocorticoids (oral, intraarticular, or intramuscular) were strongly recommended.

CONCLUSION

Using GRADE methodology and informed by a consensus process based on evidence from the current literature and patient preferences, this guideline provides direction for clinicians and patients making decisions on the management of gout.

A comparison of patient characteristics and outcomes in selected European and U.S. rheumatoid arthritis registries

PURPOSE

Randomized controlled trials (RCTs) have demonstrated the efficacy of biologic agents in the treatment of rheumatic diseases. However, results from RCTs may not be generalizable to clinical practice because of their strict inclusion and exclusion criteria. Assessment of safety using RCT data also is limited by short duration of follow-up and relatively small sample sizes, which generally preclude analysis of longer term outcomes and rare adverse events. In rheumatology, various observational cohorts and registries have been created to complement information obtained from RCTs, some with the primary purpose of monitoring effectiveness and safety of biologic agents. Most registries are either drug based or disease based. These registries include patients with a variety of rheumatic diseases including RA.

METHODS

To provide a qualitative comparison of selected U.S. and European rheumatoid arthritis (RA) biologics registries and cohorts including ARTIS, BIOBADASER, BSRBR, BRASS, CLEAR, CORRONA, NDB, RABBIT, SCQM, and VARA.

RESULTS

A careful comparison of these registries, as provided in this article, can provide a basis for understanding the many similarities and differences inherent in their design, as well as societal context and content, all of which can significantly impact their results and comparisons across registers.

SUMMARY

The increasing use of biologic agents for treatment of rheumatic diseases has raised important questions about cost, safety, and effectiveness of these agents. The unique and variable features of patient populations and registry designs in Europe and the U.S. provide valuable and complementary data on comparative effectiveness and safety of biologic agents to what can be derived from RCTs.

Serious infection risk in rheumatoid arthritis compared with non-inflammatory rheumatic and musculoskeletal diseases: a US national cohort study

Objectives

To identify serious infection (SI) risk by aetiology and site in patients with rheumatoid arthritis (RA) compared with those with non-inflammatory rheumatic and musculoskeletal diseases (NIRMD).

Methods

Patients participating in FORWARD from 2001 to 2016 were assessed for SIs; defined by infections requiring hospitalisation, intravenous antibiotics or followed by death. SIs were categorised by aetiology and site. SI risk was assessed through Cox proportional hazards models. Best models were selected using machine learning Least Absolute Shrinkage and Selection Operator (LASSO) methodology.

Results

Among 20 361 patients with RA and 6176 patients with NIRMD, 1600 and 276 first SIs were identified, respectively. Incidence of SIs was higher in RA compared with NIRMD (IRR = 1.5; 95% CI 1.2 to 1.5). The risk persisted after adjusting using the LASSO model (HR 1.7; 95% CI 1.5 to 1.8), but attenuated when additionally adjusted for glucocorticoid use (HR 1.3; 95% CI 1.2 to 1.5). SI risk was significantly higher in RA versus NIRMD for bacterial infections as well as for respiratory, skin, bone, joint, bloodstream infections and sepsis irrespective of glucocorticoid use. Compared with NIRMD, SI risk was significantly increased in patients with RA who were in moderate and high disease activity but was similar to those in low disease activity/remission (p trend < 0.001).

Conclusions

The risk of all SIs, particularly bacterial, respiratory, bloodstream, sepsis, skin, bone and joint infections are significantly increased in patients with RA compared with patients with NIRMD. This infection risk appears to be greatest in those with higher RA disease activity.

2017 American College of Rheumatology/American Association of Hip and Knee Surgeons Guideline for the Perioperative Management of Antirheumatic Medication in Patients With Rheumatic Diseases Undergoing Elective Total Hip or Total Knee Arthroplasty

OBJECTIVE

This collaboration between the American College of Rheumatology and the American Association of Hip and Knee Surgeons developed an evidence-based guideline for the perioperative management of antirheumatic drug therapy for adults with rheumatoid arthritis (RA), spondyloarthritis (SpA) including ankylosing spondylitis and psoriatic arthritis, juvenile idiopathic arthritis (JIA), or systemic lupus erythematosus (SLE) undergoing elective total hip (THA) or total knee arthroplasty (TKA).

METHODS

A panel of rheumatologists, orthopedic surgeons specializing in hip and knee arthroplasty, and methodologists was convened to construct the key clinical questions to be answered in the guideline. A multi-step systematic literature review was then conducted, from which evidence was synthesized for continuing versus withholding antirheumatic drug therapy and for optimal glucocorticoid management in the perioperative period. A Patient Panel was convened to determine patient values and preferences, and the Grading of Recommendations Assessment, Development and Evaluation methodology was used to rate the quality of evidence and the strength of recommendations, using a group consensus process through a convened Voting Panel of rheumatologists and orthopedic surgeons. The strength of the recommendation reflects the degree of certainty that benefits outweigh harms of the intervention, or vice versa, considering the quality of available evidence and the variability in patient values and preferences.

RESULTS

The guideline addresses the perioperative use of antirheumatic drug therapy including traditional disease-modifying antirheumatic drugs, biologic agents, tofacitinib, and glucocorticoids in adults with RA, SpA, JIA, or SLE who are undergoing elective THA or TKA. It provides recommendations regarding when to continue, when to withhold, and when to restart these medications, and the optimal perioperative dosing of glucocorticoids. The guideline includes 7 recommendations, all of which are conditional and based on low- or moderate-quality evidence.

CONCLUSION

This guideline should help decision-making by clinicians and patients regarding perioperative antirheumatic medication management at the time of elective THA or TKA. These conditional recommendations reflect the paucity of high-quality direct randomized controlled trial data.

2017 American College of Rheumatology/American Association of Hip and Knee Surgeons Guideline for the Perioperative Management of Antirheumatic Medication in Patients With Rheumatic Diseases Undergoing Elective Total Hip or Total Knee Arthroplasty

OBJECTIVE

This collaboration between the American College of Rheumatology and the American Association of Hip and Knee Surgeons developed an evidence-based guideline for the perioperative management of antirheumatic drug therapy for adults with rheumatoid arthritis (RA), spondyloarthritis (SpA) including ankylosing spondylitis and psoriatic arthritis, juvenile idiopathic arthritis (JIA), or systemic lupus erythematosus (SLE) undergoing elective total hip (THA) or total knee arthroplasty (TKA).

METHODS

A panel of rheumatologists, orthopedic surgeons specializing in hip and knee arthroplasty, and methodologists was convened to construct the key clinical questions to be answered in the guideline. A multi-step systematic literature review was then conducted, from which evidence was synthesized for continuing versus withholding antirheumatic drug therapy and for optimal glucocorticoid management in the perioperative period. A Patient Panel was convened to determine patient values and preferences, and the Grading of Recommendations Assessment, Development and Evaluation methodology was used to rate the quality of evidence and the strength of recommendations, using a group consensus process through a convened Voting Panel of rheumatologists and orthopedic surgeons. The strength of the recommendation reflects the degree of certainty that benefits outweigh harms of the intervention, or vice versa, considering the quality of available evidence and the variability in patient values and preferences.

RESULTS

The guideline addresses the perioperative use of antirheumatic drug therapy including traditional disease-modifying antirheumatic drugs, biologic agents, tofacitinib, and glucocorticoids in adults with RA, SpA, JIA, or SLE who are undergoing elective THA or TKA. It provides recommendations regarding when to continue, when to withhold, and when to restart these medications, and the optimal perioperative dosing of glucocorticoids. The guideline includes 7 recommendations, all of which are conditional and based on low- or moderate-quality evidence.

CONCLUSION

This guideline should help decision-making by clinicians and patients regarding perioperative antirheumatic medication management at the time of elective THA or TKA. These conditional recommendations reflect the paucity of high-quality direct randomized controlled trial data.

Associations of hydroxychloroquine use with lipid profiles in rheumatoid arthritis: pharmacologic implications

OBJECTIVE

To evaluate the association of hydroxychloroquine (HCQ) use with lipid profiles in a Veterans Affairs Rheumatoid Arthritis (VARA) cohort.

METHODS

Lipid profiles in HCQ users were compared with HCQ nonusers, adjusting for potential confounders (age, sex, race, disease activity, prednisone, disease-modifying antirheumatic drugs, diabetes mellitus, and statin use). Applying current National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) guidelines for reduction of cardiovascular disease (CVD) events risk, the frequency of target lipid profiles with HCQ status was evaluated. Varied periods of HCQ exposure were compared to ascertain pharmacologic associations with lipid values. CVDs were compared between HCQ users and nonusers.

RESULTS

In an elderly, predominantly male VARA cohort, 1,011 patients had lipid profiles; 787 patients (77.8%) were white. Statin use was recorded in 11.6% of patients, diabetes mellitus in 33.5%, and CVD in 31.2%. HCQ users (n = 150) were older, had longer rheumatoid arthritis (RA) disease duration, and had lower disease activity. Optimum lipid profiles, including total cholesterol:high-density lipoprotein (HDL) and HDL:low-density lipoprotein ratios (P ≤ 0.001), were more frequent in HCQ users, with the exception of HDL (P = 0.165), and persisted in multivariate analyses. Similarly, more HCQ users had NCEP-ATP III target levels. Varied periods of HCQ exposure suggested lipid changes to occur early, but lost within a year of drug discontinuation. HCQ users had less prevalent CVD.

CONCLUSION

In RA patients, HCQ use of at least 3 months' duration was associated with better lipid profiles irrespective of disease activity or statin use. Given the increased CVD risks in RA and the relative low cost and toxicity of HCQ, continued use, regardless of treatment regimen, should be considered.

Plasma 25,OH vitamin D concentrations are not associated with rheumatoid arthritis (RA)-related autoantibodies in individuals at elevated risk for RA

OBJECTIVE

To evaluate the association between rheumatoid arthritis (RA)-related autoantibodies and plasma 25,OH vitamin D in subjects at risk for RA.

METHODS

In 1210 subjects without RA, 76 were positive for anti-cyclic citrullinated peptide antibodies or for at least 2 rheumatoid factors (RF; by nephelometry: RF-IgM, RF-IgG, RF-IgA). 25,OH vitamin D was measured in these cases and 154 autoantibody-negative controls from this cohort.

RESULTS

25,OH vitamin D levels did not differ between cases and controls (adjusted OR 1.23, 95% CI 0.93-1.63).

CONCLUSION

Vitamin D concentrations are not associated with RA-related autoimmunity in unaffected subjects at increased risk for RA.

POS0519 RELATIONSHIP BETWEEN DISEASE ACTIVITY AND MAJOR ADVERSE EVENTS IN PATIENTS WITH RHEUMATOID ARTHRITIS ON TOFACITINIB OR TNF INHIBITORS: A POST HOC ANALYSIS OF ORAL SURVEILLANCE

Background

Uncontrolled rheumatoid arthritis (RA) activity and acute disease flares are associated with higher risk of adverse outcomes such as cardiovascular (CV) disease, venous thromboembolism (VTE), malignancy and infection.1-4

Objectives

To evaluate associations of acute and cumulative Clinical Disease Activity Index (CDAI) measurements with major CV, malignancy, or infectious adverse events (AEs) of special interest in ORAL Surveillance.

Methods

ORAL Surveillance (NCT02092467) was a post-authorisation safety study of tofacitinib vs TNF inhibitors (TNFi) in patients (pts) aged ≥50 yrs with active RA despite methotrexate (MTX), and ≥1 additional CV risk factor. Pts were randomised 1:1:1 to tofacitinib 5 or 10 mg twice daily (BID) or subcutaneous TNFi. Two post hoc analyses were performed: (1) a time-varying multivariate Cox model examined risks of major AEs when pts were in CDAI-defined low (>2.8–≤10; LDA), moderate (>10–≤22; MDA) or high (>22; HDA) disease activity vs remission (≤2.8). The Cox model also included pt demographics, medical history, RA characteristics, prior treatments, baseline (BL) medications and treatment arm, pre-selected using backward selection; (2) area under the curve (AUC) per yr for CDAI prior to event or to study end (pts without event) was calculated and compared using an analysis of variance model with treatment arm, event status and interaction (supportive). Nominal p values <0.10 were considered evidence of associations.

Results

4362 pts were included. Mean RA duration at BL was approximately 10 yrs. All pts were on MTX at BL, and 28% had previously been on one other synthetic disease-modifying antirheumatic drug (DMARD). Overall, 10% of pts had been on one biologic DMARD. Hazard ratios suggested that when pts had LDA, MDA or HDA vs remission, they were potentially at higher risk of developing major adverse CV events (MACE), VTE and non-serious infections (NSIs) excluding herpes zoster (HZ), but not malignancies, serious infections or HZ (Figure 1). Similarly, mean CDAI AUC trended higher for MACE, VTE and NSIs (Table 1).

Table 1.

Cumulative CDAI (from BL to event) for pts with vs without events (AUC/yr)

Major AEPts with eventsPts without eventsLS mean difference in pts with vs without eventsp valueTreatmentnLS mean AUC/yrnLS mean AUC/yrMACETofacitinib 5 mg BID426275.413364607.31668.10.0018*Tofacitinib 10 mg BID505237.413064482.6754.80.1253TNFi365234.513124851.5383.00.5069VTETofacitinib 5 mg BID156546.713634614.41932.30.0293*Tofacitinib 10 mg BID316688.213234458.52229.70.0003*TNFi86423.613394839.41584.10.1907Malignancy excl. NMSCTofacitinib 5 mg BID595249.313194618.9630.40.1655Tofacitinib 10 mg BID554793.713014482.2311.50.5077TNFi395561.413084826.3735.10.1854Serious infectionsTofacitinib 5 mg BID1275710.212424577.51132.70.0004*Tofacitinib 10 mg BID1505425.211974476.4948.80.0013*TNFi1056058.412404807.71250.70.0003*HZTofacitinib 5 mg BID1755184.511994738.1446.40.1101Tofacitinib 10 mg BID1635549.111864481.31067.80.0002*TNFi565667.212914875.5791.80.0930*NSIs excl. HZTofacitinib 5 mg BID7606608.34635122.51485.8<0.0001*Tofacitinib 10 mg BID7506587.84265009.61578.2<0.0001*TNFi7226737.65215217.51520.1<0.0001*

*p<0.10. Data collected after pts who were randomised to tofacitinib 10 mg BID had their dose reduced to 5 mg BID were included in the tofacitinib 10 mg BID group LS, least squares; n, number of pts in analysis of variance model

Conclusion

In ORAL Surveillance, the risk of MACE, VTE and NSIs excluding HZ appeared higher when pts had active disease than when in remission. Greater cumulative RA disease activity was seen in pts who suffered these AEs vs those who did not. Our findings support treat-to-target recommendations for RA.

References

[1]Molander et al. Ann Rheum Dis 2021; 80: 169-175.

[2]Maradit-Kremers et al. Arthritis Rheum 2005; 52: 722-732.

[3]Au et al. Ann Rheum Dis 2011; 70: 785-791.

[4]Baecklund et al. Arthritis Rheum 2006; 54: 692-701.

Acknowledgements

Study sponsored by Pfizer Inc. Medical writing support was provided by Karen Thompson, PhD, CMC Connect, and funded by Pfizer Inc.

Disclosure of Interests

George Karpouzas Speakers bureau: Sanofi-Genzyme-Regeneron, Consultant of: Janssen and Sanofi-Genzyme-Regeneron, Grant/research support from: Pfizer Inc, Zoltán Szekanecz Speakers bureau: AbbVie, Eli Lilly, Novartis, Pfizer Inc, Roche and Sanofi, Paid instructor for: AbbVie, Eli Lilly, Gedeon Richter, Novartis, Pfizer Inc and Roche, Consultant of: AbbVie, Eli Lilly, Novartis, Pfizer Inc, Roche and Sanofi, Eva Baecklund: None declared, Ted Mikuls Paid instructor for: Pfizer Inc, Consultant of: Gilead Sciences, Horizon and Sanofi, Grant/research support from: Bristol-Myers Squibb and Horizon, Deepak L Bhatt Grant/research support from: Abbott, Afimmune, Amarin, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Cardax, Chiesi, CSL Behring, Eisai, Eli Lilly, Ethicon, Ferring Pharmaceuticals, Forest Laboratories, Fractyl, HLS Therapeutics, Idorsia, Ironwood, Ischemix, Janssen, Lexicon, Medtronic, MyoKardia, Novo Nordisk, Owkin, Pfizer Inc, PhaseBio, PLx Pharma, Regeneron, Roche, Sanofi, Synaptic and The Medicines Company, Harry Shi Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Cunshan Wang Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Gosford Sawyerr Consultant of: Pfizer Inc, Employee of: Syneos Health Inc, Yan Chen Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Sujatha Menon Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Carol A. Connell Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Steven R. Ytterberg Consultant of: Corbus Pharmaceuticals, Kezar Life Sciences and Pfizer Inc, Mahta Mortezavi Shareholder of: Pfizer Inc, Employee of: Pfizer Inc.

POS0506 DIFFERENT BIOACTIVE LIPID PROFILES PREDICT RESPONSE TO TNF OR IL6 INHIBITORS IN RHEUMATOID ARTHRITIS: RESULT OF THE CorEvitas CERTAIN COMPARATIVE EFFECTIVENESS STUDY

Background

Circulating bioactive lipids can provide information about the pathogenesis of specific diseases and potentially help predict therapeutic response. Choosing the right biological therapy earlier in the course of rheumatoid arthritis (RA) could help reach the goal of remission.

Objectives

We hypothesized that circulating bioactive lipids at baseline would identify specific metabolic profiles that predict patient response to therapy and define elements of metabolic pathobiology in arthritis.

Methods

Bioactive lipids were measured in plasma from two cohorts of RA patients from the CorEvitas (formerly known as Corrona) CERTAIN registry (1) at baseline prior to treatment with TNF inhibitors (all biologic naïve, N=102) or anti-IL6 (all previously exposed to biologics, N=114). Response to treatment was categorized by minimal clinically important difference (MCID) in Clinical Disease Activity Index (CDAI) (2) at 6 months after treatment initiation. Patients had to have a 6 month follow up visit and plasma available at both the baseline and the f/u time points. Liquid chromatography (LC) system coupled with high resolution QExactive orbitrap mass spectrometer (LC/MS) was used for bioactive lipids profiling. Around 300 spectral features were identified as potential oxylipins by searching against an in-house MS/MS library. Logistic regression analyses adjusted for gender, age and BMI was perfomed using R software.

Results

102 patients (average age 54, standard deviation [SD] 12.6, 82% female [83], average BMI 29.7, SD 6.7, average CDAI 27.1, SD 13.7) starting anti-TNF therapy and 114 patients (average age 57, SD 13, 90% female [102], average BMI 30.5, SD 7.4, average CDAI 28.7, SD 13.8) starting tocilizumab were analyzed. Twenty-five bioactive metabolites discriminated between RA patients classified as anti-TNF responders (R, n = 74) and non-responders (NR, n = 28). Among these, the anti-inflammatory oxylipin maresin 2 was higher in R while the pro-inflammatory oxylipins 15d PGJ2 and 5,6-diHETE were higher in NR. Twenty different metabolites discriminated anti-IL6 R (n=73) and NR (n=41) as shown in Figure 1. The anti-inflammatory oxylipin 14-15EET was higher in R while the pro-inflammatory oxylipins 16-HETE and 5S-HpETE were higher in NR.

Figure 1.

Volcano plots visualizing baseline metabolites associated with responders vs. non responders in a) anti-TNF and b) anti IL-6 therapy groups. Results are derived from multivariate logistic regression analysis of baseline metabolites and response to treatment categorized by MCID. Data plotted as the metabolite against its statistical significance, respectively reported as odds ratio (OR) and -log10(pvalue).

Conclusion

Circulating bioactive lipid analysis using LC/MS provided a rapid analysis of a wide range of metabolites and can be used to describe metabolic signatures that predict response to therapies. These results lay the groundwork for more deliberate investigations novel metabolic-based interventions to predict response to therapy and reduce arthritis morbidity.

References

[1]Pappas DA, Kremer JM, Reed G, Greenberg JD, Curtis JR. Design characteristics of the CORRONA CERTAIN study: a comparative effectiveness study of biologic agents for rheumatoid arthritis patients. BMC Musculoskeletal Disord 2014; 15: 113

[2]Curtis JR, Yang S, Chen L, Pope JE, Keystone EC, Haraoui B, Boire G, Thorne JC, Tin D, Hitchon CA, Bingham CO 3rd, Bykerk VP. Determining the Minimally Important Difference in the Clinical Disease Activity Index for Improvement and Worsening in Early Rheumatoid Arthritis Patients. Arthritis Care Res (Hoboken). 2015 Oct;67(10):1345-53. doi: 10.1002/acr.22606. PMID: 25988705; PMCID: PMC4580563.

Disclosure of Interests

Mona Alotaibi: None declared, Roxana Coras: None declared, Dimitrios A Pappas Speakers bureau: Sanofi, Novartis, Paid instructor for: Novartis, Consultant of: Roche, Sanofi, Joel M Kremer Speakers bureau: Pfizer, Consultant of: BMS, Geoffrey Thiele: None declared, Ted Mikuls Consultant of: Pfizer, Gilead, BMS, Sanofi, Mohit Jain Employee of: Sapient Bio, Monica Guma Grant/research support from: Pfizer, Novartis.

OP0039 HOSPITALIZATION AND MORTALITY OUTCOMES IN RHEUMATOID ARTHRITIS PATIENTS WITH LUNG DISEASE

Background:

Pulmonary manifestations such as interstitial lung disease (ILD) and chronic obstructive pulmonary disease (COPD) are frequent extra-articular features that carry a poor prognosis in rheumatoid arthritis (RA). Prior studies have demonstrated that respiratory-related mortality is the most overrepresented cause of death in RA.

Objectives:

To assess the risk of all-cause and respiratory-related hospitalization and mortality in RA patients with comorbid lung disease (LD) in comparison to those without and the differential risks associated with DMARD treatments.

Methods:

Eligible RA patients included those enrolled in the Forward Databank with ≥1 year observation after 2000 and had initiated a DMARD. Forward is a large longitudinal rheumatic disease registry in the US. RA patients’ diagnoses were rheumatologist-confirmed, and every 6 months participants completed comprehensive questionnaires regarding symptoms, disease outcomes, medications, and clinical events. LD was defined as one of the following: emphysema, asthma, bronchitis, COPD, pleural effusion, fibrosis of the lung, “RA lung“, or ILD (England 2019). DMARDs were categorized hierarchically into four groups: csDMARDs, TNFi and NTNFi (bDMARDs), and tsDMARDs. Patients were followed from DMARD initiation until event (death and/or hospitalization) or end of follow-up, whatever came first. Events were validated using medical records and the US National Death Index. Respiratory hospitalizations and deaths were identified with ICD9 (460-519). Events were analyzed using incidence rates (IR) and Cox regression models. Models were adjusted for LD, DMARDs, age, sex, education, HAQ disability, Rheumatic Disease comorbidity index, smoking, pain, glucocorticoids, year of entry, prior bDMARDs and csDMARDs counts and MRC breath scale.

Results:

Of the 21,525 eligible RA patients, 13.8% had LD at the time of DMARD initiation. Patients had 59 years old in both groups and 15% were male for LD+ vs 21% for LD-. Patients with LD+ showed worse disease outcomes (HAQ: 1.3 (0.7) vs 1.0 (0.7)) and comorbidities (2.9 (1.9) vs 1.5 (1.4)) overall and for all treatment groups, especially for NTNFi and tsDMARDi. The overall IR of any all-cause or respiratory-related events were higher in LD+ than LD- RA patients and across any DMARD treatments, with NTNFi having higher IR (Figure). In survival analyses, LD+ was associated with an increased risk for all-cause hospitalizations/deaths (HR 1.3; 95% CI 1.1-1.4) and a 3.95-fold increased risk of respiratory-related events (HR 4.0; 3.2-4.9) (Table). These risks did not differ significantly across DMARD treatment groups. Increased age, HAQ disability, comorbidities, glucocorticoids, prior bDMARDs and worse MRC breath scales were associated with an increased risk in both outcomes and smoking in respiratory-specific events.

Conclusion:

An increased risk of hospitalizations and/or deaths was demonstrated for RA patients with lung disease, most notably a 4-fold increased risk for respiratory-related events. No differences were found between incident DMARD groups. Additional studies accounting for channeling of treatments by baseline health status are needed.

References:

[1]England BR, et alArth Care Res. doi:10.1002/acr.24043.

Figure.

 IR (95% CI): all-cause and respiratory-related events by LD+/LD- and DMARDs

Table.

HR (95% CI) for Cox models.

VariablesAll causeAll respiratory specificLD+ vs LD-1.34.0(1.1 - 1.4)(3.2 - 4.9)Tnf vs csDMARD1.01.1(0.8 - 1.1)(0.8 - 1.5)NTNF vs csDMARD1.00.9(0.8 - 1.2)(0.6 - 1.5)tsDMARD vs csDMARD0.81.8(0.4 - 1.4)(0.7 - 4.7)

Disclosure of Interests:

Sofia Pedro: None declared, Ted Mikuls Grant/research support from: Horizon Therapeutics, BMS, Consultant of: Pfizer, Joe Zhuo Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Kaleb Michaud Grant/research support from: Janssen

Sustained xanthine oxidase inhibitor treat to target urate lowering therapy rewires a tight inflammation serum protein interactome

Background

Effective xanthine oxidoreductase inhibition (XOI) urate-lowering treatment (ULT) to target significantly reduces gout flare burden and synovitis between 1-2 years therapy, without clearing all monosodium urate crystal deposits. Paradoxically, treat to target ULT is associated with increased flare activity for at least 1 year in duration on average, before gout flare burden decreases. Since XOI has anti-inflammatory effects, we tested for biomarkers of sustained, effective ULT that alters gouty inflammation.

Methods

We characterized the proteome of febuxostat-treated murine bone marrow macrophages. Blood samples (baseline and 48 weeks ULT) were analyzed by unbiased proteomics in febuxostat and allopurinol ULT responders from two, independent, racially and ethnically distinct comparative effectiveness trial cohorts (n=19, n=30). STRING-db and multivariate analyses supplemented determinations of significantly altered proteins via Wilcoxon matched pairs signed rank testing.

Results

The proteome of cultured IL-1b-stimulated macrophages revealed febuxostat-induced anti-inflammatory changes, including for classical and alternative pathway complement activation pathways. At 48 weeks ULT, with altered purine metabolism confirmed by serum metabolomics, serum urate dropped >30%, to normal (<6.8 mg/dL) in all the studied patients. Overall, flares declined from baseline. Treated gout patient sera and peripheral blood mononuclear cells (PBMCs) showed significantly altered proteins (p<0.05) in clustering and proteome networks. CRP was not a useful therapy response biomarker. By comparison, significant serum proteome changes included decreased complement C8 heterotrimer C8A and C8G chains essential for C5b-9 membrane attack complex assembly and function; increase in the NLRP3 inflammasome activation promoter vimentin; increased urate crystal phagocytosis inhibitor sCD44; increased gouty inflammation pro-resolving mediator TGFB1; decreased phagocyte-recruiting chemokine PPBP/CXCL7, and increased monocyte/macrophage-expressed keratin-related proteins (KRT9,14,16) further validated by PBMC proteomics. STRING-db analyses of significantly altered serum proteins from both cohorts revealed a tight interactome network including central mediators of gouty inflammation (eg, IL-1B, CXCL8, IL6, C5).

Conclusions

Rewiring of inflammation mediators in a tight serum protein interactome was a biomarker of sustained XOI-based ULT that effectively reduced serum urate and gout flares. Monitoring of the serum and PBMC proteome, including for changes in the complement pathway could help determine onset and targets of anti-inflammatory changes in response to effective, sustained XOI-based ULT.Trial Registration: ClinicalTrials.gov Identifier: NCT02579096.