Practical Guideline for Fatigue Management in Inflammatory Bowel Disease

During active inflammatory bowel disease (IBD) fatigue is a common symptom, which seems related to active gut inflammation. However, even in remission many patients suffer from fatigue that negatively affects quality of life and work productivity. Currently, robust knowledge on the pathogenesis and treatment of IBD-related fatigue is lacking. In order to alleviate the burden of IBD-related fatigue, a systematic approach is mandatory. We propose a fatigue attention cycle to enhance identification, evaluation and management of fatigued IBD patients. The benefits of the cycle are twofold. Firstly, it allows the systematic and uniform identification of patients with severe fatigue, in turn allowing tailored non-pharmacological and pharmacological interventions. Secondly, uniform identification of such patients creates a well-defined patient base to investigate the underlying pathogenesis of fatigue, resulting in a greater understanding of this debilitating phenomenon and possibly resulting in the discovery of predictive factors and new treatment interventions.

Adalimumab in Crohn's disease patients: pharmacokinetics in the first 6 months of treatment

BACKGROUND

Adalimumab is an effective therapy for Crohn's disease patients. However, there is limited knowledge on the pharmacokinetic properties of adalilumab in patients with Crohn's disease.

AIM

To assess the pharmacokinetic properties of adalilumab in a retrospective clinical cohort of patients with Crohn's disease, naïve to anti-tumour necrosis factor alpha therapy (anti-TNF).

METHODS

In a single tertiary centre, a clinical retrospective cohort was formed out of 76 patients with Crohn's disease who started adalilumab treatment (160/80/40EOW) between July 2007 and September 2010. We serially evaluated adalilumab serum levels at week 0, 12 and 28.

RESULTS

Patients were followed for a median time of 201 days (range 120-244) and received a median of 14 adalilumab injections (range 6-25). Adalilumab levels, although divergent between patients, were stable between week 12 and week 28. There was no correlation between adalilumab level and time since last administration (r = -0.061). In a multivariable regression analysis of patient factors influencing week 28 adalilumab levels, the regression model containing CRP at week 28 and BMI at baseline weakly but significantly predicted week 28 adalilumab levels (R(2) = 0.193, P = 0.004). Concomitant use of immunosuppressives was not a significant predictor (P = 0.304).

CONCLUSIONS

Intra-individual adalilumab levels seem very stable during the first 28 weeks of treatment, whereas inter-individual levels vary. Adalilumab levels appear stable over a 2-week period, as the time since last adalilumab administration did not affect the adalilumab level. CRP and BMI weakly predict week 28 adalilumab levels, whereas the use of immunosuppressives does not.