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Enregistrement W2802762110 · doi:10.2215/cjn.03300318

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

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

Notice bibliographique

RevueClinical Journal of the American Society of Nephrology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueRheumatoid Arthritis Research and Therapies
Établissements canadiensUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineRheumatoid arthritisImmunologyKidney diseaseNephropathyAA amyloidosisArthritisRheumatoid factorInternal medicineDiabetes mellitusDiseaseEndocrinology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,020

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,319
Écart entre enseignants0,302 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2018
Routes d'admission1
Résumé présentoui

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Même revueClinical Journal of the American Society of Nephrology→Même sujetRheumatoid Arthritis Research and Therapies→Travaux en français237 207→