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Abstract Number: 1471

Flare Incidence and Predictive Factors in a Population of Patients with Rheumatoid Arthritis Under Optimised Treatment with Adalimumab and Infliximab

Amara Pieren1, Dora Pascual-Salcedo2, Pilar Aguado3, Gema Bonilla4, Eugenio De Miguel5, Irene Monjo6, Laura Nuño3, Diana Peiteado3, Alejandro Villalba3, Enrique Moral Coro4, C. Tornero7, Patricia Bogas4, Alejandro Balsa3 and Chamaida Plasencia-Rodriguez4, 1Rheumatologyº, Hospital La Paz, Madrid, Spain, 2Immuno-Rheumatology Research group, La Paz University Hospital, Madrid, Spain, 3Rheumatology, La Paz University Hospital, Madrid, Spain, 4Hospital Universitario La Paz, Madrid, Spain, 5Rheumatology, University Hospital La Paz, IdiPaz, Madrid, Spain, 6Internal Medicine, Hospital Universitario La Paz, MADRID, Spain, 7Rheumatology, Rheumatology. La Paz University Hospital, Spain., Madrid, Spain

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Adalimumab, Biologic agents, infliximab and rheumatoid arthritis (RA)

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Session Information

Date: Monday, November 6, 2017

Session Title: Rheumatoid Arthritis – Small Molecules, Biologics and Gene Therapy Poster II: Prognostic Factors, Imaging and Miscellaneous Reports

Session Type: ACR Poster Session B

Session Time: 9:00AM-11:00AM

Background/Purpose:Anti-TNF has drastically changed the prognostic of the RA,carrying an important healthcare expense.This is why,optimisation seems a successful strategy that should not be linked to a worse become of our patientsÕ clinical evolution.

Methods: Observational study of the prospective cohort RA-Paz. Aim of the study:describe a population of patients with RA under optimised treatment with Adalimumab(Ada) or Infliximab(Ifx).Study the incidence of flares and establish predictive factors of flares at baseline and pre-optimization.All the patients diagnosed of RA under treatment with Ifx or Ada between Jan.2000 and Dec.2016 of the day-care unit,were included.Demographic data,clinical activity and blood sample results were collected at baseline,pre-optimization(pre-op)and at 3,6,9,12,18 and 24 months.Drug serum trough levels were measured under ELISA in each visit.Optimal range for Ifx was described as drug concentration between 1000- 4000 ng/ml and 1500- 5000 ng/ml for Ada.Optimisation was defined as drug use below standard dose.Flares were collected from the pre-op visit.Flare was described as clinical worsening which led to a therapeutic change or a DAS28>3.2 and DeltaDAS28>0,6.Predictive factors of flare at baseline and pre-op were evaluated with a uni and multivariate analysis.

Results: Of the 271 patients diagnosed of RA, 74 patients were optimised (44 under Ada and 30 under Ifx). During the 24 months after the pre-op visit,55,4%(41)of the patients presented at least one flare,with an average of 1,38 flares[1-5]. 53.7% of the patients,(22/41),were controlled with the adjustment of non biological treatment.Only 39,0%(16) of the patients,had to go back to the previous optimised dose and 7,3%(3)to the standard dose.88%(39/41)were controlled after the dose modification.104 flares were collected,33%(34) happened at the 3rd month and 20%(21) at 24th. In the population who presented flares, we observed a persistent higher DAS Vs the patients who never presented flares(DAS pre-op 3,20±1,16 Vs 2,26±0,59;DAS 24month 3,61±1,13Vs2,10±0,65;p=0,007). A least proportion of patients with flares were in supra-optimal range(13,3% with flares vs 26% without, p=0,007). At baseline, no clinical factors were predictive of flare. Nor were blood sample results. In contrast, a higher disease activity, measured by DAS pre-op(p=0,004),a worst EULAR answer(p=0,027) and not being in supra-optimal range(p=0,032),were statistically correlated with flares development at the univariate analysis. Time to the optimisation tended to the significance(OR=1,152; p=0.08). In the multivariate analysis, only a higher DAS pre-op(OR:2,00,[1,08-3,73])and being in optimal(OR:5,90, [1,38-25,2])and sub-optimal range(OR=6,05[1,28-28,7]), were independently correlated.

Conclusion: We noted a high proportion of flares in our cohort of optimised patietns. However, flares were controlled with dosage readjustment without needing a chanfe of the treatment. Independently correlated predictive factors for flares were a higher disease activity measured by DAS and not being in therapeutic range in the pre-optimisation visit.


Disclosure: A. Pieren, None; D. Pascual-Salcedo, None; P. Aguado, None; G. Bonilla, None; E. De Miguel, None; I. Monjo, None; L. Nuño, None; D. Peiteado, None; A. Villalba, None; E. Moral Coro, None; C. Tornero, Alexion Pharmaceuticals, Inc., 9; P. Bogas, None; A. Balsa, None; C. Plasencia-Rodriguez, None.

To cite this abstract in AMA style:

Pieren A, Pascual-Salcedo D, Aguado P, Bonilla G, De Miguel E, Monjo I, Nuño L, Peiteado D, Villalba A, Moral Coro E, Tornero C, Bogas P, Balsa A, Plasencia-Rodriguez C. Flare Incidence and Predictive Factors in a Population of Patients with Rheumatoid Arthritis Under Optimised Treatment with Adalimumab and Infliximab [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/flare-incidence-and-predictive-factors-in-a-population-of-patients-with-rheumatoid-arthritis-under-optimised-treatment-with-adalimumab-and-infliximab/. Accessed January 27, 2023.
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