To determine how therapeutic strategies for giant cell arteritis (GCA), especially glucocorticoid (GC) management, evolved between 2014 and 2020. Consecutive GCA patients followed for at least 24 months in a single tertiary center were enrolled and separated into two groups: those diagnosed from 2014 to 2017 and those diagnosed from 2018 to 2020. GC doses (mg/kg/day) were analyzed at onset, at Month 3 (M3) and, if continued, at M6, M12, M18 and M24.
View Article and Find Full Text PDFObjectives: To describe the impact of cumulative glucocorticoid (GC) doses on related adverse events (AEs) in giant cell arteritis (GCA) in a real-life setting.
Methods: The medical charts of the last 139 consecutive GCA patients followed in a tertiary centre were retrospectively analysed. The cumulative GC doses were calculated, and the main GC-related AEs were collected during the follow-up.
Objective: To assess patients' self-reported glucocorticoid (GC)-related adverse events (AEs) in a GCA population.
Methods: A questionnaire was sent to the 100 patients most recently diagnosed with GCA in a tertiary centre. This questionnaire included open- and close-ended questions on the disease and GC effects.
Little is known about the impact of giant cell arteritis (GCA) and its treatment on patient-reported physical, mental, and psychic quality of life (QoL). In this monocentric study, a questionnaire was sent to the 100 last patients diagnosed with GCA and followed-up in a single tertiary center. Their physical, mental and psychic status were self-assessed via close-ended questions, the 12-item short form survey (SF-12) and the 15-item geriatric depression scale (GDS).
View Article and Find Full Text PDFObjectives: To describe, in a real-life setting, the direct causes of death in a cohort of consecutive patients with GCA.
Methods: We retrospectively analysed the deaths that occurred in a cohort of 470 consecutive GCA patients from a centre of expertise between January 2000 and December 2019. Among the 120 patients who died, we retrieved data from the medical files of 101 patients.