An algorithm using clinical data to predict the optimal individual glucocorticoid dosage to treat multiple sclerosis relapses

Autor: Andrew T. Chan, Myriam Briner, Ralf Gold, Judit Gili-Kovács, Maud Bagnoud, Anke Salmen, Robert Hoepner

Publikováno v: Therapeutic Advances in Neurological Disorders, Vol 14 (2021)
Gili-Kovács, Judit; Hoepner, Robert; Salmen, Anke; Bagnoud, Maud; Gold, Ralf; Chan, Andrew; Briner, Myriam (2021). An algorithm using clinical data to predict the optimal individual glucocorticoid dosage to treat multiple sclerosis relapses. Therapeutic advances in neurological disorders, 14, p. 17562864211020074. Sage 10.1177/17562864211020074
Therapeutic Advances in Neurological Disorders

Background: Glucocorticoid (GC) pulse therapy is used for multiple sclerosis (MS) relapse treatment; however, GC resistance is a common problem. Considering that GC dosing is individual with several response-influencing factors, establishing a predic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7daf9a78b5060777b2636dcfc5dba1c
https://doaj.org/article/cd3538369267477a89ffae02d6f23aba