European expert consensus on improving patient selection for the management of disabling spasticity with intrathecal baclofen and/or botulinum toxin type A
| Autor: | Bo Biering-Soerensen, Valerie Stevenson, Djamel Bensmail, Klemen Grabljevec, Mercedes Martínez Moreno, Elke Pucks-Faes, Joerg Wissel, Mauro Zampolini |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal of Rehabilitation Medicine, Vol 53 (2021) |
| Druh dokumentu: | article |
| ISSN: | 16501977 1651-2081 |
| DOI: | 10.2340/16501977-2877 |
| Popis: | Objective: To develop an algorithm for the selection of adults with disabling spasticity for treatment with intrathecal baclofen (ITB) and/or botulinum toxin type A (BoNT A). Methods: A European Advisory Board of 4 neurologists and 4 rehabilitation specialists performed a literature review on ITB and BoNT A treatment for disabling spasticity. An online survey was sent to 125 physicians and 13 non-physician spasticity experts. Information on their current clinical practice and level of agreement on proposed selection criteria was used to inform algorithm design. Consensus was considered reached when ≥75% of respondents agreed or were neutral. Results: A total of 79 experts from 17 countries completed the on-line survey (57%). Agreement was reached that patients with multi-segmental or generalized disabling spasticity refractory to oral drugs are the best candidates for ITB (96.1% consensus), while those with focal/segmental disabling spasticity are ideal candidates for BoNT A (98.7% consensus). In addition the following are good candidates for ITB (% consensus): bilateral disabling spasticity affecting lower limbs only (97.4%), bilateral (100%) or unilateral (90.9%) disabling spasticity affecting lower limbs and trunk, and unilateral or bilateral disabling spasticity affecting upper and lower extremities (96.1%). Conclusion: This algorithm will support the management of adult patients with disabling spasticity by aiding patient selection for ITB and/or BoNT A treatments. |
| Databáze: | Directory of Open Access Journals |
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