title: Factors associated with fatigue in early arthritis: results from a multicenter national French cohort study.
abstract: OBJECTIVE
  Fatigue frequently occurs in patients with early arthritis (EA). Determinants of its severity are unknown. We aimed to identify the factors associated with fatigue in EA and changes in fatigue after 1 year of followup.
  
  
  METHODS
  The Evaluation et Suivi de Polyarthrites Indifférenciées Récentes (Assessment and Followup of Early Undifferentiated Arthritis) cohort study is a multicenter, prospective, national cohort of patients with EA. At baseline and every 6 months up to 1 year, we recorded sociodemographic, clinical, and treatment characteristics, Arthritis Impact Measurement Scales 2 Short Form (AIMS2-SF) and Short Form 36 (SF-36) scores for health-related quality of life (HRQOL), and fatigue severity by a visual analog scale (f-VAS) and the SF-36 vitality score (fatigue_SF36).
  
  
  RESULTS
  We included 813 patients (77% women, mean ± SD age 48 ± 13 years). At baseline, fatigue as assessed by the f-VAS or fatigue_SF36 was independently associated with young age, female sex, low education level, smoking, increased Disease Activity Score in 28 joints (DAS28), waking up at night, Sjögren's syndrome, and worse AIMS2-SF physical, affect, and symptom scores. At 1-year followup, a favorable change in fatigue scores was associated with increased baseline AIMS2-SF physical and affect scores (better quality of life), high baseline fatigue scores, and improved 1-year AIMS2-SF affect scores. Age, sex, and change in AIMS2-SF physical score, DAS28, and hemoglobin or C-reactive protein level were inconsistently associated with change in fatigue scores. The AIMS2-SF affect score explained most of the variance in baseline fatigue score and was an important factor in 1-year change in fatigue score.
  
  
  CONCLUSIONS
  Fatigue in EA is multifactorial. Its level and its course are strongly associated with HRQOL, notably the affect dimension. These results should help professionals inform patients about fatigue, explore its causes, and develop tailored interventions.
authors.affiliation: Nancy-Université, Université Paul Verlaine Metz, Université Paris Descartes, EA 4360 Apemac, INSERM, CIC-EC CIE6, CHU Nancy, Nancy, France. ac.rat@chu-nancy.fr
authors.forename: Anne-Christine
authors.initials: AC
authors.lastname: Rat
authors.forename: Jacques
authors.initials: J
authors.lastname: Pouchot
authors.forename: Bruno
authors.initials: B
authors.lastname: Fautrel
authors.forename: Patrick
authors.initials: P
authors.lastname: Boumier
authors.forename: Philippe
authors.initials: P
authors.lastname: Goupille
authors.forename: Francis
authors.initials: F
authors.lastname: Guillemin
mesh_terms: D000328:Adult; D001168:Arthritis / Q000097:blood / Q000453:epidemiology* / Q000523:psychology; D002097:C-Reactive Protein / Q000378:metabolism; D015331:Cohort Studies; D015897:Comorbidity; D004522:Educational Status; D005221:Fatigue / Q000097:blood / Q000453:epidemiology* / Q000523:psychology; D005260:Female; D005500:Follow-Up Studies; D006454:Hemoglobins / Q000378:metabolism; D006801:Humans; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D011788:Quality of Life / Q000523:psychology; D012720:Severity of Illness Index; D018434:Sickness Impact Profile; D012907:Smoking
chemical_list: D006454:Hemoglobins; D002097:C-Reactive Protein