Original Article

Associations Between Safety of Certolizumab Pegol, Disease Activity, and Patient Characteristics, Including Corticosteroid Use and Body Mass Index

First published: 01 July 2021https://doi.org/10.1002/acr2.11259
Supported by UCB Pharma. Prof. Jeffrey R. Curtis has received grant/research support from Abbvie, Amgen, Bristol-Myers Squibb, Corrona, Crescendo, Genentech, Janssen, Pfizer, Roche, and UCB Pharma. Dr. Xavier Mariette is supported by Biogen, Pfizer, and UCB Pharma. Dr. Boulos Haraoui has received grant/research support from Abbott, Amgen, Bristol-Myers Squibb, Janssen, Pfizer, Roche, and UCB Pharma.

Abstract

Objective

To examine relationships between knee osteoarthritis (KOA) and obesity, diabetes mellitus (DM), and cardiovascular disease (CVD).

Methods

Associations of time-dependent obesity, DM, and CVD with KOA transition states over approximately 18 years were examined among 4093 participants from a community-based cohort. Transition states were 1) no knee symptoms and no radiographic KOA (rKOA; Kellgren-Lawrence grade ≥2 in at least one knee), 2) asymptomatic rKOA, 3) knee symptoms only, 4) symptomatic rKOA (sxKOA; rKOA and symptoms in same knee). Markov multistate models estimated adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for associations between comorbid conditions and transitions across states, adjusting for baseline age, sex, race, education, enrollment cohort, birth year, and time-dependent knee injury history.

Results

At baseline, 40% of participants had obesity, 13% had DM, and 22% had CVD (mean age = 61 years; 34% Black; 37% male). Compared with those without obesity, those with obesity had a higher hazard of worsening from no rKOA/no symptoms to asymptomatic rKOA (aHR = 1.7; 95% CI = 1.3-2.2) and from knee symptoms to sxKOA (aHR = 1.7; 95% CI = 1.3-2.3), as well as a lower hazard of symptom resolution from sxKOA to asymptomatic rKOA (aHR = 0.5 [95% = CI 0.4-0.7]). Compared with those without CVD, those with CVD had a higher hazard of worsening from no rKOA/symptoms to knee symptoms (aHR = 1.5; 95% CI = 1.1-2.1). DM was not associated with transitions of rKOA.

Conclusion

Prevention of obesity and CVD may limit the development or worsening of rKOA and symptoms.

Introduction

Abstract Objective To investigate the impact of baseline and time-varying factors on the risk of serious adverse events (SAEs) in patients during long-term certolizumab pegol (CZP) treatment. Methods Safety data were pooled across 34 CZP clinical trials in rheumatoid arthritis (RA), axial spondyloarthritis (axSpA), psoriatic arthritis (PsA), and plaque psoriasis (PSO). Cox proportional hazards modeling was used to investigate the association of baseline patient characteristics with risk of serious infectious events (SIEs), malignancies, and major adverse cardiac events (MACEs). Cox modeling for recurrent events assessed the impact of time-varying body mass index (BMI), systemic corticosteroid (CS) use, and disease activity on SIE risk in RA and SAE risk in PSO. Results Data were pooled from 8747 CZP-treated patients across indications. Cox models reported a 44% increase in SIE risk associated with a baseline BMI of 35 kg/m2 or more versus a baseline BMI of 18.5 kg/m2 to less than 25 kg/m2. Baseline systemic CS use, age of 65 years or more, and disease duration of 10 years or longer also increased SIE risk. Older age was the only identified risk factor for malignancies. The risk of MACEs increased 107% for BMI of 35 kg/m2 or more versus BMI of 18.5 kg/m2 to less than 25 kg/m2 and increased 51% for men versus women. Higher disease activity, older age, systemic CS use, BMI of 35 kg/m2 or more, and baseline comorbidities were SIE risk factors in RA. Age and systemic CS use were risk factors for SAEs in PSO. Conclusion Age, BMI, systemic CS use, and disease activity were identified as SIE risk factors in CZP-treated patients. Risk of malignancies was greater in older patients, whereas obesity and male sex were MACE risk factors.

1. Pink J, Thomson A, Wylie B: Inventory management in Sydney Public Hospital Blood Banks. Transfus Med 1994; 4: 237 – 242

2. Pink J, Thomson A, Wylie B: Inventory management in Sydney Public Hospital Blood Banks. Transfus Med 1994; 4: 237 – 242

4. Pink J, Thomson A, Wylie B: Inventory management in Sydney Public Hospital Blood Banks. Transfus Med 1994; 4: 237 – 242

4. Pink J, Thomson A, Wylie B: Inventory management in Sydney Public Hospital Blood Banks. Transfus Med 1994; 4: 237 – 242

Volume 3, Issue 11

November 2021

Pages 765-770

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