Frailty and risk of serious infections in patients with rheumatoid arthritis treated with biologic or targeted-synthetic DMARDs.


Journal

Arthritis care & research
ISSN: 2151-4658
Titre abrégé: Arthritis Care Res (Hoboken)
Pays: United States
ID NLM: 101518086

Informations de publication

Date de publication:
20 Dec 2023
Historique:
revised: 24 10 2023
received: 30 06 2023
accepted: 20 11 2023
medline: 20 12 2023
pubmed: 20 12 2023
entrez: 20 12 2023
Statut: aheadofprint

Résumé

It remains unknown whether frailty status portends an increased risk of adverse outcomes in patients with rheumatoid arthritis (RA) initiating biologic (b) or targeted synthetic disease modifying anti-rheumatic drugs (tsDMARDs). Using MarketScan data, we identified new users of tumor necrosis factor inhibitors (TNFi), non-TNFi bDMARDs, or Janus Kinase inhibitors (JAKi) between 2008-2019, 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 (aHRs) and 95% confidence intervals (95% CI) and assessed the significance of interaction terms between frailty status and drug class. A total of 57,980 patients, mean (±SD) age 48.1 ± 10.1 were included; 48,139 (83%) started TNFi, 8111 (14%) non-TNFi biologics, and 1730 (3%) JAKi. Among these, 3560 (6%) were categorized as frail. Frailty was associated with a 50% increased risk of serious infections (aHR (95% CI): 1.5, 1.2-1.9) and 40% higher risk of inpatient admissions 1.4 (95% CI, 1.3-1.6) compared to non-frail patients among those who initiated TNFi. Frailty was also associated with a higher risk of any infection relative to non-frail patients among those on TNFi (1.2, 95% CI 1.1-1.3) or non-TNFi (1.2, 95% CI 1.0-1.4) or JAKi (95% CI 1.4, 1.0-2.0). Frailty is an important predictor for the risk of adverse outcomes among patients with RA treated with b- or tsDMARDs. This article is protected by copyright. All rights reserved.

Sections du résumé

BACKGROUND BACKGROUND
It remains unknown whether frailty status portends an increased risk of adverse outcomes in patients with rheumatoid arthritis (RA) initiating biologic (b) or targeted synthetic disease modifying anti-rheumatic drugs (tsDMARDs).
METHODS METHODS
Using MarketScan data, we identified new users of tumor necrosis factor inhibitors (TNFi), non-TNFi bDMARDs, or Janus Kinase inhibitors (JAKi) between 2008-2019, 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 (aHRs) and 95% confidence intervals (95% CI) and assessed the significance of interaction terms between frailty status and drug class.
RESULTS RESULTS
A total of 57,980 patients, mean (±SD) age 48.1 ± 10.1 were included; 48,139 (83%) started TNFi, 8111 (14%) non-TNFi biologics, and 1730 (3%) JAKi. Among these, 3560 (6%) were categorized as frail. Frailty was associated with a 50% increased risk of serious infections (aHR (95% CI): 1.5, 1.2-1.9) and 40% higher risk of inpatient admissions 1.4 (95% CI, 1.3-1.6) compared to non-frail patients among those who initiated TNFi. Frailty was also associated with a higher risk of any infection relative to non-frail patients among those on TNFi (1.2, 95% CI 1.1-1.3) or non-TNFi (1.2, 95% CI 1.0-1.4) or JAKi (95% CI 1.4, 1.0-2.0).
CONCLUSION CONCLUSIONS
Frailty is an important predictor for the risk of adverse outcomes among patients with RA treated with b- or tsDMARDs. This article is protected by copyright. All rights reserved.

Identifiants

pubmed: 38116680
doi: 10.1002/acr.25282
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 American College of Rheumatology.

Auteurs

Namrata Singh (N)

Division of Rheumatology, University of Washington, Seattle, WA.
VA Puget Sound Health Care System, Seattle, WA.

Laura S Gold (LS)

Department of Radiology, University of Washington, Seattle, WA.

Jiha Lee (J)

University of Michigan, Ann Arbor, MI.

Katherine D Wysham (KD)

Division of Rheumatology, University of Washington, Seattle, WA.
VA Puget Sound Health Care System, Seattle, WA.
Department of Radiology, University of Washington, Seattle, WA.

James S Andrews (JS)

Division of Rheumatology, University of Washington, Seattle, WA.

Una E Makris (UE)

Division of Rheumatic Diseases, UT Southwestern Medical Center, Dallas, TX.

Bryant R England (BR)

University of Nebraska Medical Center & VA Nebraska-Western Iowa Healthcare System, Omaha, NE.

Michael D George (MD)

Division of Rheumatology, Hospital of the University of Pennsylvania, Philadelphia, PA.

Joshua F Baker (JF)

Division of Rheumatology, Hospital of the University of Pennsylvania, Philadelphia, PA.
Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.

Jeffrey Jarvik (J)

Department of Radiology, University of Washington, Seattle, WA.

Patrick J Heagerty (PJ)

Department of Radiology, University of Washington, Seattle, WA.
Department of Biostatistics, University of Washington.

Siddharth Singh (S)

Division of Gastroenterology, University of California at San Diego, San Diego, CA.

Classifications MeSH