MétaCan
Menu
Retour à la cohorte
Enregistrement W4411428628 · doi:10.1016/j.ard.2025.06.593

POS1243 SERUM URATE LEVELS AND RECURRENT GOUT FLARE EVENTS AND GOUT-PRIMARY HOSPITALISATIONS: GENERAL POPULATION-BASED INCEPTION COHORT OF >62,000 NEWLY-DIAGNOSED GOUT PATIENTS

2025· article· en· W4411428628 sur OpenAlexaff
Ran Abuhasira, Itay Hazan, C. Yokose, N. McCormick, Ho-Young Choi

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAbdominal Trauma and Injuries
Établissements canadiensResearch Canada
Organismes subventionnairesnon disponible
Mots-clésMedicineGoutInternal medicineCohortHyperuricemiaUric acidPopulationPediatricsEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Background: Despite EULAR and other rheumatology guidelines' emphasis on treat-to-target-serum-urate levels (<6 or <5 mg/dL, urate crystal sub-saturation points), this pathophysiology-based recommendation is not accepted in primary care practice (where >90% of gout care occurs) or endorsed by the American College of Physicians. A recent investigation of 3,613 UK Biobank participants found that baseline urate levels were strongly associated with the risk of subsequent gout flares and rates of hospitalisation for recurrent gout, in a dose-dependent manner [ JAMA 2024 [1]]. However, as UK Biobank participants tend to be healthier with a better socioeconomic status (SES) than the general population, and that study only included patients with prevalent gout who were treated in primary care, the generalizability of those findings should be confirmed, especially for newly-diagnosed gout cases. Objectives: We evaluated the relation between baseline serum urate measurement and subsequent risk of acute gout flares, in reference to the target-serum-urate levels, in a general population-based inception cohort of 62,213 incident gout patients. Methods: This was a nationwide cohort study using the Clalit Health Services database, which includes electronic medical records data for approximately 5 million Israeli residents. We included people diagnosed with gout over the years 2001-2023, with at least one year of enrollment prior to gout diagnosis, one year of follow-up after gout diagnosis, and one baseline serum urate measurement around the time of the gout diagnosis. As done previously, [1, 2] flares occurring after gout diagnosis were ascertained by (1) hospitalisation or emergency department visit with gout (ICD-10 M10) as primary discharge diagnosis; (2) diagnosis of gout flare in outpatient records; or (3) diagnosis of gout in community clinics. Outpatient records and community clinics were counted only if prescriptions were issued within a week from diagnosis, for corticosteroids, colchicine, or non-steroidal anti-inflammatory drugs (NSAIDs). We also investigated flares requiring hospitalisation. Negative binomial regression was used to assess the relation between prior serum urate levels and rates of recurrent gout flares over 1, 5, and 10 years of follow-up. The multivariable models were adjusted for age, sex, SES, smoking, comorbidities (hypertension, ischemic heart disease, heart failure, chronic kidney disease, and peripheral vascular disease), and diuretic use. Results: We included 62,213 patients newly diagnosed with gout (mean age 61 years, 68% males), among whom we documented 24,663 recurrent gout flares over 465,917 person-years. Mean serum urate at baseline was 7.4 mg/dL. 97% and 99% of flares occurred among those with baseline serum urate ≥6 and ≥5 mg/dL, respectively. Age- and sex-adjusted rate ratios (RR) for flares with urate levels of ≤ 4.9, 5.0-5.9, 6.0-6.9, 7.0-7.9, 8.0-8.9, 9.0-9.9, and ≥10 mg/dL were 1.0, 1.8, 4.4, 8.8, 13.9, 19.1, and 26.9, respectively, during the first ten years of follow-up (Table 1). The associations persisted in the extended adjusted model, with corresponding RRs of 1.0, 1.5, 4.0, 7.9, 12.8, 17.0, and 23.4 (Table 1). Nearly all flares requiring hospitalisation (98%) occurred with baseline urate ≥6 mg/dL. The RR for hospitalised flares with urate levels of ≤ 4.9, 5.0-5.9, 6.0-6.9, 7.0-7.9, 8.0-8.9, 9.0-9.9, and ≥10 mg/dL were 1.0, 0.80, 4.9, 3.6, 9.9, 19.8, and 40.5, respectively. Conclusion: In this nationwide inception cohort of incident gout patients, almost all flares (97% and 99%) occurred among those with baseline urate ≥6 and ≥5 mg/dL, respectively, and higher serum urate levels were strongly associated with recurrent flares, with a striking dose-response relationship. These findings confirm those reported among UK Biobank participants with prevalent gout treated in primary care, but with greater generalizability and precision. Together, these replicated findings support the notion that nearly all cases of gout flares can be prevented by gout patients meeting these target urate levels. REFERENCES: [1] McCormick et al., JAMA 2024. PMID 38319333. [2] Cipolletta et al., JAMA 2022. PMID 35916846. Table 1. Rates and Rate Ratio (RR) for Recurrent Gout Flares According to Serum Urate Level and Follow-Up Time from Gout Diagnosis. Acknowledgements: NIL . Disclosure of Interests: Ran Abuhasira: None declared, Itai Hazan: None declared, Chio Yokose: None declared, Natalie McCormick: None declared, Hyon Choi Ani, Protalix, Horizon, LG Chem, and Shanton, Horizon, LG Chem. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,632

Scores Codex et Gemma par catégorie

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

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 Opus0,020
Tête enseignante GPT0,301
Écart entre enseignants0,281 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAnnals of the Rheumatic DiseasesMême sujetAbdominal Trauma and InjuriesTravaux en français237 207