Publications by authors named "Christian Lechtenboehmer"
Objective: Automated machine learning (autoML) platforms allow health care professionals to play an active role in the development of machine learning (ML) algorithms according to scientific or clinical needs. The aim of this study was to develop and evaluate such a model for automated detection and grading of distal hand osteoarthritis (OA).
Methods: A total of 13,690 hand radiographs from 2,863 patients within the Swiss Cohort of Quality Management (SCQM) and an external control data set of 346 non-SCQM patients were collected and scored for distal interphalangeal OA (DIP-OA) using the modified Kellgren/Lawrence (K/L) score.
Objective: Distal interphalangeal (DIP) joints are commonly considered to be unaffected by rheumatoid arthritis (RA). Despite synovitis and bone marrow edema being associated with radiographic progression in hand osteoarthritis (OA) and hand RA, radiographic courses differ substantially. This study was undertaken to analyze incidence and progression of radiographically evident DIP joint OA in RA patients, in relation to RA activity and patient characteristics.
View Article and Find Full Text PDFObjective: The aim of this study was to examine the prevalence of nutritional risk and its association with multiple adverse clinical outcomes in a large cohort of acutely ill medical inpatients from a Swiss tertiary care hospital.
Methods: We prospectively followed consecutive adult medical inpatients for 30 d. Multivariate regression models were used to investigate the association of the initial Nutritional Risk Score (NRS 2002) with mortality, impairment in activities of daily living (Barthel Index <95 points), hospital length of stay, hospital readmission rates, and quality of life (QoL; adapted from EQ5 D); all parameters were measured at 30 d.