title: Remission in psoriatic arthritis: is it possible and how can it be predicted?
abstract: BACKGROUND
  Since remission is now possible in psoriatic arthritis (PsA) we wished to examine remission rates in PsA patients following anti tumour necrosis factor alpha (TNFalpha) therapy and to examine possible predictors of response.
  
  
  METHODS
  Analysis of a prospective patient cohort attending a biologic clinic, between November 2004 and March 2008, was performed prior to commencing therapy and at regular intervals. Baseline clinical characteristics including demographics, previous disease-modifying antirheumatic drug (DMARD) response, tender and swollen joint counts, early morning stiffness, pain visual analogue score, patient global assessment, C reactive protein (CRP) and health assessment questionnaire (HAQ) were collected.
  
  
  RESULTS
  A total of 473 patients (152 PsA; 321 rheumatoid arthritis (RA)) were analyzed. At 12 months remission, defined according to the disease activity score using 28 joint count and CRP (DAS28-CRP), was achieved in 58% of PsA patients compared to 44% of RA patients, significant improvement in outcome measures were noted in both groups (P<0.05). Analysis of a subgroup of PsA and RA patients matched for DAS28-CRP at baseline also showed higher numbers of PsA patients achieving remission. Linear regression analysis identified the HAQ at baseline as the best predictor of remission in PsA patients (P<0.001).
  
  
  CONCLUSIONS
  DAS28 remission is possible in PsA patients at one year following anti-TNF therapy, at higher rates than in RA patients and is predicted by baseline HAQ.
authors.affiliation: Department of Rheumatology, Dublin Academic Medical Centre, St Vincent's University Hospital, and The Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Elm Park, Dublin 4, Ireland.
authors.forename: Tajvur P
authors.initials: TP
authors.lastname: Saber
authors.forename: C T
authors.initials: CT
authors.lastname: Ng
authors.forename: Guillaume
authors.initials: G
authors.lastname: Renard
authors.forename: Bernadette M
authors.initials: BM
authors.lastname: Lynch
authors.forename: Eliza
authors.initials: E
authors.lastname: Pontifex
authors.forename: Ceara A E
authors.initials: CA
authors.lastname: Walsh
authors.forename: Alexia
authors.initials: A
authors.lastname: Grier
authors.forename: Marian
authors.initials: M
authors.lastname: Molloy
authors.forename: Barry
authors.initials: B
authors.lastname: Bresnihan
authors.forename: Oliver
authors.initials: O
authors.lastname: Fitzgerald
authors.forename: Ursula
authors.initials: U
authors.lastname: Fearon
authors.forename: Douglas J
authors.initials: DJ
authors.lastname: Veale
mesh_terms: D000068879:Adalimumab; D000293:Adolescent; D000328:Adult; D000368:Aged; D000911:Antibodies, Monoclonal / Q000627:therapeutic use*; D061067:Antibodies, Monoclonal, Humanized; D015535:Arthritis, Psoriatic / Q000188:drug therapy* / Q000378:metabolism*; D001172:Arthritis, Rheumatoid / Q000188:drug therapy / Q000378:metabolism; D002097:C-Reactive Protein / Q000378:metabolism; D015331:Cohort Studies; D018450:Disease Progression; D000068800:Etanercept; D005260:Female; D006306:Health Surveys; D006801:Humans; D007074:Immunoglobulin G / Q000627:therapeutic use*; D000069285:Infliximab; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D011237:Predictive Value of Tests; D011446:Prospective Studies; D018124:Receptors, Tumor Necrosis Factor / Q000627:therapeutic use*; D012074:Remission Induction; D012189:Retrospective Studies; D014409:Tumor Necrosis Factor-alpha / Q000037:antagonists & inhibitors*; D055815:Young Adult
chemical_list: D000911:Antibodies, Monoclonal; D061067:Antibodies, Monoclonal, Humanized; D007074:Immunoglobulin G; D018124:Receptors, Tumor Necrosis Factor; D014409:Tumor Necrosis Factor-alpha; D002097:C-Reactive Protein; D000069285:Infliximab; D000068879:Adalimumab; D000068800:Etanercept