Impact of Fatigue on Work Productivity, Activity Impairment, and Healthcare Resource Utilization in Inflammatory Bowel Disease.

Objectives: Fatigue is commonly reported in patients with Crohn's disease (CD) and ulcerative colitis (UC), including patients with inactive disease. We explored the impact of fatigue on healthcare utilization (HCU) and work productivity and activity impairment (WPAI).

Methods: Data collected between 2017 and 2022 were analyzed from the CorEvitas IBD Registry.

Scleroderma: oral, maxillofacial and radiographic manifestations for dental practitioners.

Scleroderma is an autoimmune condition of unknown aetiology with a range of manifestations, which can be limited to the skin or can extend to be multisystemic. It is characterised by fibrosis, microangiopathy and dysregulation of the immune system and commonly affects the oral cavity. Frequent oral and maxillofacial features include fibrosis of the face, circumoral furrows and reduced oral aperture.

The Burden of Work Productivity and Activity Impairment in Patients with Psoriasis, Psoriatic Arthritis, Ulcerative Colitis, and Crohn's Disease.

Background: Comparisons among autoimmune diseases enable understanding of the burden and factors associated with work productivity loss and impairment.

Aims: The objective was to compare work productivity and activity and associated factors among patients with inflammatory bowel diseases and other autoimmune conditions.

Methods: This cross-sectional study included employed, adult patients (age 20-64 years) in the CorEvitas Inflammatory Bowel Disease, Psoriasis, and Psoriatic Arthritis/Spondyloarthritis Registries between 5/2017 and 6/2020.

Specialist supportive clinical management for anorexia nervosa: Analysis of therapy content and relation to outcome.

Objective: Psychotherapy for anorexia nervosa (AN) is complex and multifaceted, with little known about likely effective components of treatments. The current study explored the spoken content of specialist supportive clinical management (SSCM) for AN, a treatment with evidence of effectiveness in several randomized clinical trials.

Method: One hundred seventy-eight therapy sessions constituting all ten therapist-patient dyads of those who completed SSCM treatment in the original clinical trial of SSCM, were transcribed verbatim.

Method used to identify adenomyosis and potentially undiagnosed adenomyosis in a large, U.S. electronic health record database.

Background: The prevalence of adenomyosis is underestimated due to lack of a specific diagnostic code and diagnostic delays given most diagnoses occur at hysterectomy.

Objectives: To identify women with adenomyosis using indicators derived from natural language processing (NLP) of clinical notes in the Optum Electronic Health Record database (2014-2018), and to estimate the prevalence of potentially undiagnosed adenomyosis.

Methods: An NLP algorithm identified mentions of adenomyosis in clinical notes that were highly likely to represent a diagnosis.