Frailty in rheumatoid arthritis: a systematic review and meta-analysis

Explainable machine learning model for pre-frailty risk assessment in community-dwelling older adults

Background

Frailty in older adults is linked to increased risks and lower quality of life. Pre-frailty, a condition preceding frailty, is intervenable, but its determinants and assessment are challenging. This study aims to develop and validate an explainable machine learning model for pre-frailty risk assessment among community-dwelling older adults.

Methods

The study included 3141 adults aged 60 or above from the China Health and Retirement Longitudinal Study. Pre-frailty was characterized by one or two criteria from the physical frailty phenotype scale. We extracted 80 distinct features across seven dimensions to evaluate pre-frailty risk. A model was constructed using recursive feature elimination and a stacking-CatBoost distillation module on 80% of the sample and validated on a separate 20% holdout data set.

Results

The study used data from 2508 community-dwelling older adults (mean age, 67.24 years [range, 60-96]; 1215 [48.44%] females) to develop a pre-frailty risk assessment model. We selected 57 predictive features and built a distilled CatBoost model, which achieved the highest discrimination (AUROC: 0.7560 [95% CI: 0.7169, 0.7928]) on the 20% holdout data set. The living city, BMI, and peak expiratory flow (PEF) were the three most significant contributors to pre-frailty risk. Physical and environmental factors were the top 2 impactful feature dimensions.

Conclusions

An accurate and interpretable pre-frailty risk assessment framework using state-of-the-art machine learning techniques and explanation methods has been developed. Our framework incorporates a wide range of features and determinants, allowing for a comprehensive and nuanced understanding of pre-frailty risk.

Frailty and its association with readmissions in patients with rheumatoid arthritis: A national readmissions database study

It remains unknown whether frailty status confers an increased risk of readmission in patients with rheumatoid arthritis (RA). From the 2018 Nationwide Readmissions Database (NRD), we identified adult patients (age ≥ 18 years) admitted with a diagnosis of RA between January to June 2018. Utilizing validated Hospital Frailty Score, patients' frailty risk score was calculated at the time of index admission and categorized into frail (score ≥ 5) and non-frail (score < 5) groups. Our primary outcomes of interest were (1) 180- day readmission rate (2) inpatient mortality; secondary outcomes included prolonged length of stay, LOS (LOS ≥ 7 days), and costs of hospitalization. Multivariable Cox proportional hazard analysis was performed to evaluate the independent effect of frailty adjusting for confounding variables. 133,187 patients met inclusion criteria, with mean age 67.7 years, of whom 64,131 (48.1%) patients were categorized as frail. The rate of readmission was significantly higher in the frail (56.60%) compared to the non-frail group (30.61%). At index hospitalization, frail patients also had significantly higher inpatient mortality compared to non-frail patients (3.36% vs 0.39%, p < 0.005), longer LOS (26.24% vs 7.82%, p < 0.005). On multivariate analysis frailty was independently associated with a 9% increased risk of readmission (adjusted hazard ratio, 1.09; 95% confidence interval, 1.08 - 1.11). People with RA who are frail have higher rates of readmission than those who are not frail. These findings are crucial in identifying at-risk patients with RA and in discharge planning after hospitalization. Key Points • People with RA who are frail have higher rates of readmission than those who are not frail. • Frail RA patients are also at higher risk of hospitalization-related adverse outcomes, including inpatient mortality and longer hospital stay. • Sepsis is the most common cause for readmission identified in frail patients with RA. • These findings suggest that frailty may be a useful metric in identifying patients with RA at an increased risk of adverse health outcomes.

Frailty and rheumatic diseases: evidence to date and lessons learned

Frailty represents a dynamic multisystem state of reduced physiological reserve that increases vulnerability to adverse health outcomes. Frailty occurs prematurely in adults with immune-mediated rheumatic diseases and is emerging as an important risk factor for adverse outcomes in these conditions. In this Series paper, we present a conceptual overview of frailty and its prevalence among patients with immune-mediated rheumatic diseases. We discuss putative mechanisms of frailty relevant to these diseases, tools for frailty measurement, and potential implications of frailty assessment for clinical care. We also explore the complex inter-relationship between frailty, inflammation, and disease activity in immune-mediated rheumatic diseases. As insight is gained into the epidemiology and mechanisms of frailty among patients with immune-mediated inflammatory rheumatic diseases, the possibility of targeting frailty with an intervention that could complement standard disease-modifying therapies to prevent adverse outcomes and improve health-related quality of life becomes closer to reality.

Frailty assessment in patients with Behçet's syndrome: A cross-sectional monocentric study

AIMS

Evidence evaluating the association between pre-frailty and frailty, and risk of adverse health outcomes in patients with Behçet's syndrome (BS) is limited in the literature. The aim of this study was to characterize the prevalence of frailty and associated factors in a single-centre cohort of patients with BS.

METHODS

Based on the International Study Group's criteria, this was a monocentric cross-sectional study of BS patients. The Fried frailty criteria were used to define frailty. The Turkish version of the Behçet's Disease Current Activity Form was used to measure the disease activity of BS. Damage index was assessed with the Behçet's Syndrome Overall Damage Index.

RESULTS

Forty-four patients were enrolled. According to Fried frailty criteria, patients were classified as 13.6% frail, 59% pre-frail, and 27.2% robust, respectively. Compared to pre-frail and robust patients, frail patients had higher levels of inflammatory markers at the time of diagnosis. CRP levels at time of diagnosis and at the last visit were higher in the frail group than in the pre-frail and robust groups (p=0.039 and p=0.023, respectively). When active drugs for BS were evaluated, systemic glucocorticoid (50%, p=0.030) and cyclophosphamide (33.3%, p=0.006) treatments were higher in the frail group.

CONCLUSIONS

Frailty and pre-frailty are commonly detected even in younger patients with BS. Inflammation can be described as potential determinants of frailty status.

Exploring the causal association between frailty index with the common types of arthritis: a Mendelian randomization analysis

BACKGROUND

Previous observational studies indicated a complex association between frailty and arthritis.

AIMS

To investigate the genetic causal relationship between the frailty index and the risk of common arthritis.

METHODS

We performed a large-scale Mendelian randomization (MR) analysis to assess frailty index associations with the risk of common arthritis in the UK Biobank (UKB), and the FinnGen Biobank. Summary genome-wide association statistics for frailty, as defined by the frailty index, and common arthritis including rheumatoid arthritis (RA), osteoarthritis (OA), psoriatic arthritis (PSA), and ankylosing spondylitis (AS). The inverse-variance weight (IVW) method served as the primary MR analysis. Heterogeneity testing and sensitivity analysis were also conducted.

RESULTS

Our results denoted a genetic association between the frailty index with an increased risk of OA, the odds ratio (OR)IVW in the UKB was 1.03 (95% confidence interval [CI]: 1.01-1.05; P = 0.007), and ORIVW was 1.55 (95% CI: 1.16-2.07; P = 0.003) in the FinnGen. For RA, the ORIVW from UKB and FinnGen were 1.03 (1.01-1.05, P = 0.006) and 4.57 (1.35-96.49; P = 0.025) respectively. For PSA, the frailty index was associated with PSA (ORIVW = 4.22 (1.21-14.67), P = 0.023) in FinnGen, not in UKB (P > 0.05). However, no association was found between frailty index and AS (P > 0.05). These results remained consistent across sensitivity assessments.

CONCLUSION

This study demonstrated a potential causal relationship that genetic predisposition to frailty index was associated with the risk of arthritis, especially RA, OA, and PSA, not but AS. Our findings enrich the existing body of knowledge on the subject matter.

Heart Failure With Preserved Ejection Fraction and Frailty: From Young to Superaged Coexisting HFpEF and Frailty

Being commonly diagnosed in elderly women and associated with comorbidities as well as ageing-related cardio-vascular changes, heart failure with preserved ejection fraction (HFpEF) has been recently considered as a distinct cardiogeriatric syndrome. Frailty is another frequent geriatric syndrome. HFpEF and frailty share common underlying mechanisms, often co-exist, and represent each other's risk factors. A threshold of 65 years old is usually used to screen patients for both frailty and HFpEF in research and clinical settings. However, both HFpEF and frailty are very heterogenous conditions that may develop at younger ages. In this review we aim to provide a broader overview on the coexistence of HFpEF and frailty throughout the lifetime. We hypothesize that HFpEF and frailty patients' profiles (young, elderly, superaged) represent a continuum of the common ageing process modified by cumulative exposure to risk factors resulting to a presentation of HFpEF and frailty at different ages. We believe, that suggested approach might stimulate assessment of frailty in HFpEF assessment and vice versa regardless of age and early implementation of targeted interventions. Future studies of pathophysiology, clinical features, and outcomes of frailty in HFpEF by age are needed.

Causal association of rheumatoid arthritis with frailty and the mediation role of inflammatory cytokines: A Mendelian randomization study

BACKGROUND

Previous observational studies have suggested the association between rheumatoid arthritis (RA) and frailty. However, it remains obscure whether this association is causal. This study aims to investigate the causal association of RA with frailty and the mediation effect of inflammatory cytokines using Mendelian randomization (MR) design.

METHODS

Summary-level data for RA (N = 58,284), frailty index (FI) (N = 175,226), Fried frailty score (FFS) (N = 386,565), and 41 inflammatory cytokines (N = 8,293) were obtained from recent genome-wide association studies. Univariable and multivariable MR analyses were conducted to investigate and verify the causal association of RA with frailty. The potential mediation effects of inflammatory cytokines were estimated using two-step MR.

RESULTS

Univariable inverse variance weighted MR analysis suggested that genetically determined RA was associated with increased FI (beta=0.021; 95 % CI: 0.012, 0.03; p = 2.2 × 10-6) and FFS (beta=0.011; 95 %CI: 0.007, 0.015; p = 8.811 × 10-8). The consistent results were observed in multivariable MR analysis after adjustment for asthma, smoking, BMI, physical activity, telomere length, and depression. Mediation analysis showed evidence of an indirect effect of RA on FI through monokine induced by interferon-gamma (MIG) with a mediated proportion of 9.8 % (95 %CI: 4.76 %, 19.05 %), on FFS via MIG and stromal cell-derived factor-1 alpha with a mediated proportion of 9.6 % (95 %CI: 0 %, 18.18 %) and 8.44 % (95 %CI: 0 %, 18.18 %), respectively.

CONCLUSION

This study provided credible evidence that genetically predicted RA was associated with a higher risk of frailty. Additionally, inflammatory cytokines were involved in the mechanism of RA-induced frailty.

Adaptation of the comprehensive rheumatologic assessment of frailty (CRAF) as a multidimensional frailty screening tool in patients with rheumatoid arthritis in Vietnam

BACKGROUND

In recent times, there has been acknowledgment of the prevalence of frailty and pre-frailty among individuals with rheumatoid arthritis (RA). Comprehensive Rheumatologic Assessment of Frailty (CRAF) stands out as a dependable tool grounded in synthesis and clinical judgment. Despite this, a validated Vietnamese rendition of the CRAF is currently unavailable. This study seeks to assess the reliability and validity of the CRAF in a patient with RA in Vietnam.

METHODS

A cross-sectional investigation was carried out with 402 patients diagnosed with rheumatoid arthritis, encompassing both inpatients and outpatients at the Centre for Rheumatology at Bach Mai Hospital in Hanoi, Vietnam. CRAF was employed to gauge the extent of frailty. To establish convergent validity, the scores from the CRAF were correlated with those from the Fried phenotype. Discriminant validity was ascertained through the utilization of receiver operating characteristic (ROC) curve analysis. Additionally, a multivariate logistic regression model was applied to evaluate the individual determinants' relative impact on the CRAF.

RESULTS

In testing for convergent validity, a significant correlation was found between CRAF and Fried phenotype (p < 0.001). The discriminatory power of CRAF was higher than those of the Fried phenotype (difference between areas under the ROC curves = 0.947 (95% CI: 0.927-0.967). Variables associated with frailty at the multivariate analysis were comorbitidy, medication intake, BMI, DAS28-CRP, and age (all at p < 0.01).

CONCLUSION

CRAF exhibited strong validity and accurate discrimination. Incorporating frailty assessment into regular rheumatological practices could signify a significant advancement in the care of rheumatoid arthritis.

Frailty and Risk of Serious Infections in Patients With Rheumatoid Arthritis Treated With Biologic or Targeted-Synthetic Disease-Modifying Antirheumatic Drugs

OBJECTIVE

It remains unknown whether frailty status portends an increased risk of adverse outcomes in patients with rheumatoid arthritis (RA) initiating biologic or targeted-synthetic (b/ts) disease-modifying antirheumatic drugs (DMARDs). The objective of our study was to evaluate the association between frailty and serious infections in a younger population of patients (<65 years old) with RA who initiated b/tsDMARDs.

METHODS

Using MarketScan data, we identified new users of tumor necrosis factor inhibitors (TNFi), non-TNFi biologic DMARDs, or Janus kinase inhibitors (JAKi) between 2008 and 2019 among those with RA. Patients' baseline frailty risk score was calculated using a Claims-Based Frailty Index (≥0.2 defined as frail) 12 months prior to drug initiation. The primary outcome was time to serious infection; secondarily, we examined time-to-any infection and all-cause hospitalizations. We used Cox proportional hazards to estimate adjusted hazard ratios and 95% confidence intervals (95% CIs) and assessed the significance of interaction terms between frailty status and drug class.

RESULTS

A total of 57,980 patients, mean (±SD) age 48.1 ± 10.1 were included; 48,139 (83%) started TNFi, 8,111 (14%) non-TNFi biologics, and 1,730 (3%) JAKi. Among these, 3,560 (6%) were categorized as frail. Frailty was associated with a 50% increased risk of serious infections (adjusted hazard ratio [95% CI] 1.5, 1.2-1.9) and 40% higher risk of inpatient admissions (1.4 [1.3-1.6]) compared with nonfrail patients among those who initiated TNFi. Frailty was also associated with a higher risk of any infection relative to nonfrail patients among those on TNFi (1.2 [1.1-1.3]) or non-TNFi (1.2 [1.0-1.4]) or JAKi (1.4 [1.0-2.0]).

CONCLUSION

Frailty is an important predictor for the risk of adverse outcomes among patients with RA treated with biologic or targeted-synthetic DMARDs.

Accelerated biological aging as a potential risk factor for rheumatoid arthritis

OBJECTS

Previous studies have suggested a potential correlation between rheumatoid arthritis (RA) and biological aging, but the intricate connections and mechanisms remain elusive.

METHODS

In our study, we focused on two specific measures of biological age (PhenoAge and BioAge), which are derived from clinical biomarkers. The residuals of these measures, when compared to chronological age, are defined as biological age accelerations (BAAs). Utilizing the extensive UK Biobank dataset along with various genetic datasets, we conducted a thorough assessment of the relationship between BAAs and RA at both the individual and aggregate levels.

RESULTS

Our observational studies revealed positive correlations between the two BAAs and the risk of developing both RA and seropositive RA. Furthermore, the genetic risk score (GRS) for PhenoAgeAccel was associated with an increased risk of RA and seropositive RA. Linkage disequilibrium score regression (LDSC) analysis further supported these findings, revealing a positive genetic correlation between PhenoAgeAccel and RA. PLACO analysis identified 38 lead pleiotropic single nucleotide polymorphisms linked to 301 genes, providing valuable insights into the potential mechanisms connecting PhenoAgeAccel and RA.

CONCLUSION

In summary, our study has successfully revealed a positive correlation between accelerated biological aging, as measured by BAAs, and the susceptibility to RA.

Exclusion of older adults from randomized controlled trials in rheumatoid arthritis

OBJECTIVES

To assess eligibility criteria that either explicitly or implicitly exclude older patients from randomized controlled trials (RCTs) in RA.

METHODS

Our analysis included RCTs of pharmacological interventions registered with ClinicalTrials.gov and started between 2013 and 2022. Co-primary outcomes were proportions of trials with an upper age limit and the eligibility criteria indirectly increasing risk of the exclusion of older adults.

RESULTS

A total of 143/290 (49%) trials had an upper age limit of 85 years or less. Multivariable analysis showed that the odds of an upper age limit were significantly lower in trials performed in the USA [adjusted odds ratio (aOR), 0.34; CI, 0.12-0.99; P = 0.04] and intercontinental trials (aOR, 0.4; CI, 0.18-0.87; P = 0.02). In total, 154/290 (53%) trials had at least one eligibility criterion implicitly excluding older adults. These included specific comorbidities (n = 114; 39%), compliance concerns (n = 67; 23%), and broad and vague exclusion criteria (n = 57; 20%); however, we found no significant associations between these criteria and trial characteristics. Overall, 217 (75%) trials either explicitly or implicitly excluded older patients; we also noted a trend towards increasing proportion of these trials over time. Only one trial (0.3%) enrolled solely patients aged 65 and older.

CONCLUSION

Older adults are commonly excluded from RCTs in RA based on both age limits and other eligibility criteria. This seriously limits the evidence base for the treatment of older patients in clinical practice. Given the growing prevalence of RA in older adults, relevant RCTs should be more inclusive to them.

Impact of frailty severity and severe pain on cognitive function for community-dwelling older adults with arthritis: a cross-sectional study in Korea

Pain is a major symptom of arthritis in older adults, often leading to frailty and cognitive decline. However, few studies have investigated the relationship among pain, frailty, and cognitive function in older adults with arthritis. This study aimed to investigate the factors influencing cognitive function and the impact of frailty severity and pain on cognitive function in older adults with arthritis using a Korean population-based dataset. This cross-sectional descriptive study involved the secondary data of 1089 participants from the seventh and eighth waves of the Korean Longitudinal Study on Aging. We examined general characteristics, health behaviors, health conditions (including severe pain and frailty), and cognitive function. Participants were categorized based on the presence or absence of pain severity and frailty status as follows: robust, only severe pain, only prefrail, prefrail with severe pain, only frail, and frail with severe pain. Multiple linear regression analysis was performed to establish correlations between groups and cognitive function. The only-prefrail group was the largest (19.7%) among participants experiencing either pain or frailty. Advanced age, sex, level of education, and visual and hearing impairments were significantly associated with cognitive function. Compared to the robust group, only prefrail (β = -1.54, confidence interval [CI] = - 2.33; - 0.76), prefrail with severe pain (β = - 2.69, CI = - 3.52; - 1.87), only frail (β = - 4.02, CI = - 5.08; - 2.97), and frail with severe pain (β = - 5.03, CI = - 5.99; - 4.08) groups were associated with lower Mini-Mental State Examination scores. The study confirmed that severe pain alone does not significantly impact cognitive function in older adults with arthritis. To prevent cognitive decline in this group, assessment of both pain and frailty severity is essential to predict high-risk groups and provide appropriate interventions, such as transfer to hospitals or primary clinics according to the severity of pain and frailty.

Psychometric Properties of Frailty Instruments in Adults With Rheumatoid Arthritis: A Systematic Review

OBJECTIVE

Examine psychometric properties of frailty instruments used in adults with rheumatoid arthritis (RA) to inform selection of frailty instruments for clinical and research use.

METHODS

A systematic review was registered in PROSPERO. Studies measuring frailty in adults with RA published before May 25, 2022, were searched in six electronic databases. Level of evidence of psychometric properties were synthesized and graded for each frailty instrument using Consensus-Based Standards for the Selection of Health Measurement Instruments methodology.

RESULTS

There were 22 articles included in the review, and psychometric properties of 16 frailty instruments were examined. RA cohorts were predominantly female with moderate RA disease activity, mean age was 60.1 years, and frailty prevalence ranged widely from 10% to 85%. Construct validity was the only psychometric property routinely examined for frailty instruments in RA, and nearly all (14/16) performed favorably in this domain. Frailty correlated most frequently with older age, higher RA disease activity, and worse physical function. Internal consistency, measurement error, and content validity were examined infrequently. Reliability and responsiveness data were not reported. Six frailty instruments were rated highest in adults with RA: three adaptations of Fried's Criteria, 32-Item and 45-Item Frailty Indexes, and the Comprehensive Rheumatologic Assessment of Frailty.

CONCLUSION

Six frailty instruments possessed the highest-rated psychometric properties in RA. These instruments demonstrated construct validity of frailty with important outcomes in RA. Frailty assessment shows promise to inform risk stratification in RA, but studies are needed to evaluate reliability, responsiveness, and validity to support accuracy of frailty measurement in adults with RA who may have disease-related features that differentially impact outcomes.

[Outcome of joint replacement in patients with underlying rheumatoid disease]

BACKGROUND

Artificial joint replacement is a meaningful treatment option for patients with advanced rheumatic degenerative joint diseases. The aim of this study was to investigate the influence of the underlying rheumatic diseases on postoperative complications and patient-reported outcome (PRO) after elective total joint replacement (TJR).

MATERIAL AND METHODS

In a retrospective analysis of 9149 patients with elective total knee or total hip arthroplasty (TKR and THR), complication rates and PRO of patients with and without rheumatic diseases (RD) were compared. Multivariate logistic regression models were used to determine whether the underlying rheumatic disease was an independent risk factor for various complications.

RESULTS

In the univariate analyses the RD patients had an increased risk of medical complications (7.1% vs. 5.2%; p = 0.028) and Clavien-Dindo grade IV complications (2.8% vs. 1.8%; p = 0.048) after TJR. This was confirmed in multivariate statistical analyses (p < 0.034). The rates for operative revisions and surgical complications were comparable (2.5% vs. 2.4%; p = 0.485). Analysis of the PRO showed a higher responder rate in patients with RD after TKR (91.9% vs. 84.5%, p = 0.039). In contrast, the responder rate in patients with RD after THR was comparable (93.4% vs. 93.2%, p = 0.584).

CONCLUSION

Despite increased postoperative complication rates, patients with underlying rheumatic diseases showed a comparable outcome 1 year after TJR. After TKR the RD patients showed even higher responder rates. Although RD patients are a vulnerable patient group, they can still benefit from joint replacement.

Bioactive Molecules against Rheumatoid Arthritis by Suppressing Pyroptosis

Rheumatoid arthritis is an inflammatory disease, and pyroptosis is a form of death associated with an inflammatory response. Pyroptosis, which occurs in synovial and osteoblastic cells, can exacerbate the development of rheumatoid arthritis. The inhibition of pyroptosis of these cells can, therefore, clearly be used as a therapeutic strategy against rheumatoid arthritis. Here, we have summarized the current status of progress in the treatment of rheumatoid arthritis by targeting cellular pyroptosis. We have identified seven compounds, including a cyclic RNA, a microRNA, a peptide, and a cytokine (protein), that may influence the progression of rheumatoid arthritis by regulating the initiation of pyroptosis. All of these compounds have been shown to have anti-rheumatoid effects in vitro and/or in vivo and have the potential to be developed as anti-rheumatoid agents. These findings may help to accelerate the development of anti-rheumatoid arthritis drugs.

Identifying frailty and its associated factors in patients with axial spondyloarthritis

BACKGROUND AND AIM

Frailty is an elderly people phenomenon; however, younger adults with comorbidities may show a higher trajectory of frailty toward older age. The frailty status of middle-aged patients with axial spondyloarthritis (axSpA) remains little researched. We aimed to identify frailty status and to investigate the association of clinical, sociodemographic, and psychosocial factors with frailty.

METHODS

This study included 114 patients aged between 40 and 65 years. The patients were classified as frail, pre-frail, and robust according to Fried's phenotype and the Kihon Checklist (KCL). Physical function, quality of life, depression, anxiety, and disease-related factors were assessed. Between-group comparisons and multinomial logistic regression analysis were performed.

RESULTS

Frailty and pre-frailty prevalences were 20.2% and 49.1% for Fried's phenotype and 36.0% and 33.3% for the KCL. Frail adults had impaired physical function and increased disease activity compared to pre-frail and robust patients. Adjusted multinomial logistic regression analysis revealed that disease activity (odds ratio [OR] = 1.62, 95% CI = 1.12-2.34) and Short Physical Performance Battery (OR = 0.32, 95% CI = 0.18-0.56) were associated with Fried's phenotype-determined frailty. Disease activity (OR = 1.91, 95% CI = 1.11-3.26), Bath Ankylosing Spondylitis Functional Index (OR = 2.70, 95% CI = 1.56-4.67), and depression (OR = 1.55, 95% CI = 1.18-2.02) were associated with the KCL determined frailty.

CONCLUSION

Frailty and pre-frailty are commonly detected in middle-aged individuals with axSpA. Our findings highlight a possible need for frailty screening and preventive programs targeting middle-aged axSpA patients.

Consistency of recommendations for pharmacotherapy of rheumatoid arthritis

Background: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory arthropathy. Recommendations for RA, specifically on pharmacotherapy, are essential in clinical practice. However, the direction and strength of recommendations are controversial across current clinical practice guidelines (CPGs) of RA.

Objective: To systematically analyze the consistency of recommendations regarding pharmacotherapy of RA across CPGs.

Methods: 11 electronic databases and websites were comprehensively searched from inception to 14 March 2022, to identify CPGs for diagnosis, therapy, and management of RA. Unambiguous and discrete specifications of the population-intervention-comparison (PIC) framework were used to classify the recommendations. Based on the PIC framework, consistency analyses across CPGs on pharmacotherapy of RA were performed. Two researchers reached a consensus on coding the direction and strength of each recommendation.

Results: Finally, 26 CPGs were included in this study, and 14 of them, which included pharmacotherapy, were performed consistency analysis. 1) 64 recommendations from 14 CPGs were classified into 18 PICs. 2) Seven PICs (38%) were consistent in direction and strength, 10 PICs (56%) were consistent in direction but inconsistent in strength, and one PIC (6%) was inconsistent in direction (hydroxychloroquine, HCQ). 3) Sensitivity analysis tested the robustness, and the inconsistency remained high.

Conclusion: The direction was highly consistent among the recommendations of pharmacotherapy for RA, but the strength was highly inconsistent. Reasons for the inconsistency need to be further investigated, and consistent recommendations could guide the pharmacotherapy of RA in clinical practice.