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Record W2802762110 · doi:10.2215/cjn.03300318

Antimalarial Drugs for the Prevention of Chronic Kidney Disease in Patients with Rheumatoid Arthritis

2018· letter· en· W2802762110 on OpenAlexaff
Jennifer C. Rodrigues, Joanne M. Bargman

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2018
Typeletter
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineRheumatoid arthritisImmunologyKidney diseaseNephropathyAA amyloidosisArthritisRheumatoid factorInternal medicineDiabetes mellitusDiseaseEndocrinology

Abstract

fetched live from OpenAlex

The pathogenesis of rheumatoid arthritis is a complex interplay between genetic predisposition and immunologic dysregulation. Altered immune response to cigarette smoke and gut microbiota have been implicated in the pathogenesis of the disease. Synovial tissue is an active immunologic site, with multidirectional interactions among fibroblasts, T cells, B cells, and dendritic cells. Dendritic cells produce cytokines that induce the differentiation of inflammatory Th1 and Th17 T cells. Fibroblasts function as antigen-presenting cells and induce the expression of inflammatory cytokines by T cells. B cells produce autoantibodies against a variety of antigens (cyclic-citrillunated proteins, rheumatoid factor), which trigger cytokine expression and participate in bone homeostasis (reviewed in ref. 1). Rheumatoid arthritis and its treatment have been recognized to be associated with kidney dysfunction. A kidney biopsy series showed that patients with ≥1 g/d of proteinuria had membranous nephropathy or amyloidosis, whereas in those with creatinine ≥1.5 mg/dl, amyloidosis was the most common finding (2). An analysis of United States Renal Data System (USRDS) data, however, showed that the most frequent causes of ESKD in patients with rheumatoid arthritis are still diabetes (33.5%) and hypertension (30.6%), with amyloidosis (0.5%), vasculitis (7.4%), and analgesic nephropathy (0.5%) being relatively uncommon (3). Whether this reflects the inherent limitations of USRDS data compared with kidney biopsy (4) or that associated comorbidities in patients with rheumatoid arthritis are more likely to lead to ESKD is unclear. Treatment of rheumatoid arthritis consists of anti-inflammatory medications (nonsteroidal anti-inflammatory drugs [NSAIDs] and glucocorticoids [GCs]) in addition to both nonbiologic (hydroxychloroquine, leflunomide, methotrexate, and 5-aminosalicylic acid) and biologic (TNF-α, non–TNF-α inhibitors, and Janus kinase inhibitors) disease-modifying antirheumatic drugs (5). NSAIDs have been associated with higher risk of AKI, acute interstitial nephritis, membranous nephropathy, and chronic kidney dysfunction (reviewed in ref. 6). Penicillamine and gold, older medications used to treat rheumatoid arthritis, have been reported to be a cause of membranous nephropathy (reviewed in ref. 7). NSAIDs, gold, and penicillamine have also been associated with secondary minimal change disease (reviewed in ref. 8); 5-aminosalicylic acid has been linked with acute interstitial nephritis, minimal change disease, and long-term effects on kidney function with some degree of reversibility (reviewed in ref. 9). Biologic therapies include the TNF-α inhibitors etanercept, infliximab, adalimumab, golimumab, and certolizumab (with varying chemical formulations and affinity for TNF-α, non–TNF-α biologics, such as abatacept [T cell costimulatory molecule inhibitor], rituximab, and tofacitinib [an oral Janus kinase inhibitor]) (5). Kidney side effects, including membranous nephropathy, IgA nephropathy, and lupus nephritis, have all been associated with the TNF-α inhibitors (reviewed in ref. 10). A large cohort study of 4617 patients suggested that patients with rheumatoid arthritis and an eGFR>60 ml/min per 1.73 m2 had a lower incidence of CKD when treated with biologic agents (hazard ratio, 0.71; 95% confidence interval, 0.53 to 0.94) (11), which may be related to improvement of the chronic inflammatory state. Antimalarials, including hydroxychloroquine, exert their effects on the immune system through selective suppression of autoantigen presentation on macrophages, inhibition of toll-like receptor signaling, and cytokine expression (reviewed in ref. 12). In patients with rheumatoid arthritis, antimalarials have recently been shown to have cardioprotective effects; a large systematic review and meta-analysis of 35,213 patients in both randomized, controlled trials and cohort studies showed improvement in lipid profiles in users compared with nonusers in addition to a lower incidence of diabetes and cardiovascular disease (13). In this issue of the Clinical Journal of the American Society of Nephrology, the authors (14) report on an observational cohort of 2619 patients with rheumatoid arthritis and no history of CKD, in whom 1212 were receiving hydroxychloroquine. Using International Classification of Diseases (ICD-9) codes, they found that, in those receiving hydroxychloroquine, the incidence of CKD was lower (10.3 versus 13.8 per 1000 person-years; P=0.03) in addition to a lower cumulative risk of CKD. Using a Cox proportional hazards model adjusted for demographics, clinic visits, comorbidities, and medications and reporting a subhazard ratio adjusting for the higher mortality of patients with rheumatoid arthritis and CKD, the lower incidence of CKD persisted in the patients receiving hydroxychloroquine (adjusted hazard ratio, 0.64; 95% confidence interval, 0.45 to 0.90; P=0.01). The authors explored their conclusions using propensity matching as well as sensitivity analyses with various definitions of treatment with hydroxychloroquine, diagnosis of rheumatoid arthritis, and inclusion of patients with concomitant SLE and psoriasis and without informative censoring in those who discontinued hydroxychloroquine. There was both a time-dependent effect and a dose-dependent effect of hydroxychloroquine on incident CKD. In their multivariable model, the authors (14) adjusted for the baseline differences in those receiving hydroxychloroquine (increased clinic visits, GC use, and exposure to TNF-α inhibitors). Within the limitations of an observational cohort, it is interesting to speculate as to whether the associated better adherence to therapy and higher GC use may play a role in hindering the development of incident CKD in this patient population. There is an interesting parallel to a study of carotid intimal-medial thickness in patients with lupus, where the use of hydroxychloroquine and higher (not lower) mean daily GC dose were associated with improved vascular geometry by univariate analysis (15). It is possible that dampening of the chronic inflammatory state mitigates accrual of progressive vascular damage and subsequent kidney impairment. Although the mechanism underlying the kidney protection associated with antimalarial therapy in people with rheumatoid arthritis is only speculative, it may be mediated through improved microvascular function, including that of the kidneys, as a result of dampening of the chronic inflammatory state. This study highlights the importance of these agents in the rheumatic diseases and underscores the importance of controlling chronic inflammation (14). Disclosures J.C.R. is funded by a Vasculitis Clinical Research Consortium - Vasculitis Foundation Clinical Research Fellowship.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.319
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2018
Admission routes1
Has abstractyes

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