RT Journal Article
T1 Consensus on early detection of disease progression in patients with multiple sclerosis.
A1 Meca-Lallana, José E
A1 Casanova, Bonaventura
A1 Rodríguez-Antigüedad, Alfredo
A1 Eichau, Sara
A1 Izquierdo, Guillermo
A1 Durán, Carmen
A1 Río, Jordi
A1 Hernández, Miguel Ángel
A1 Calles, Carmen
A1 Prieto-González, José M
A1 Ara, José Ramón
A1 Uría, Dionisio F
A1 Costa-Frossard, Lucienne
A1 García-Merino, Antonio
A1 Oreja-Guevara, Celia
K1 consensus
K1 disease progression
K1 early detection
K1 multiple sclerosis
K1 secondary progressive multiple sclerosis
AB Early identification of the transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive MS (SPMS) can be challenging for clinicians, as diagnostic criteria for SPMS are primarily based on physical disability and a holistic interpretation. To establish a consensus on patient monitoring to identify promptly disease progression and the most useful clinical and paraclinical variables for early identification of disease progression in MS. A RAND/UCLA Appropriateness Method was used to establish the level of agreement among a panel of 15 medical experts in MS. Eighty-three items were circulated to the experts for confidential rating of the grade of agreement and recommendation. Consensus was defined when ≥66% agreement or disagreement was achieved. Consensus was reached in 72 out of 83 items (86.7%). The items addressed frequency of follow-up visits, definition of progression, identification of clinical, cognitive, and radiological assessments as variables of suspected or confirmed SPMS diagnosis, the need for more accurate assessment tools, and the use of promising molecular and imaging biomarkers to predict disease progression and/or diagnose SPMS. Consensus achieved on these topics could guide neurologists to identify earlier disease progression and to plan targeted clinical and therapeutic interventions during the earliest stages of SPMS.
SN 1664-2295
YR 2022
FD 2022-07-28
LK http://hdl.handle.net/10668/20645
UL http://hdl.handle.net/10668/20645
LA en
DS RISalud
RD Apr 12, 2025