Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale.
ALS is a progressive neurodegenerative disease. The stage of disease reached can be described using a simple system based on the number of central nervous system regions involved. Historically, datasets have not attempted to record clinical stage, but being able to re-analyse the data by stage would...
| Main Authors: | , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2014
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| _version_ | 1797066720794378240 |
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| author | Balendra, R Jones, A Jivraj, N Knights, C Ellis, C Burman, R Turner, M Leigh, P Shaw, C Al-Chalabi, A |
| author_facet | Balendra, R Jones, A Jivraj, N Knights, C Ellis, C Burman, R Turner, M Leigh, P Shaw, C Al-Chalabi, A |
| author_sort | Balendra, R |
| collection | OXFORD |
| description | ALS is a progressive neurodegenerative disease. The stage of disease reached can be described using a simple system based on the number of central nervous system regions involved. Historically, datasets have not attempted to record clinical stage, but being able to re-analyse the data by stage would have several advantages. We therefore explored the possibility of using an algorithm based on the revised ALS Functional Rating Scale (ALSFRS-R), which is commonly used in clinical practice, to estimate clinical stage. We devised an algorithm to convert ALSFRS-R score into clinical stage. ALSFRS-R domains were mapped to equivalent CNS regions. Stage 4 is reached when gastrostomy or non- invasive ventilation is needed, but as a proxy we used provision. We collected ALSFRS-R from clinic visits, and compared the estimation of clinical stage from the ALSFRS-R with the actual stage. Results showed that the agreement between staging by the two methods was excellent with an intraclass correlation coefficient of 0.92 (95% confidence interval 0.88-0.94). There was no systematic bias towards over-staging or under-staging using the algorithm. In conclusion, we have shown that clinical stage in ALS can be reliably estimated using the ALSFRS-R in historical data and in current data where stage has not been recorded. |
| first_indexed | 2024-03-06T21:46:02Z |
| format | Journal article |
| id | oxford-uuid:49a1d342-4f9c-44ff-b571-b362b40ad94d |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:46:02Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | oxford-uuid:49a1d342-4f9c-44ff-b571-b362b40ad94d2022-03-26T15:32:43ZEstimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:49a1d342-4f9c-44ff-b571-b362b40ad94dEnglishSymplectic Elements at Oxford2014Balendra, RJones, AJivraj, NKnights, CEllis, CBurman, RTurner, MLeigh, PShaw, CAl-Chalabi, AALS is a progressive neurodegenerative disease. The stage of disease reached can be described using a simple system based on the number of central nervous system regions involved. Historically, datasets have not attempted to record clinical stage, but being able to re-analyse the data by stage would have several advantages. We therefore explored the possibility of using an algorithm based on the revised ALS Functional Rating Scale (ALSFRS-R), which is commonly used in clinical practice, to estimate clinical stage. We devised an algorithm to convert ALSFRS-R score into clinical stage. ALSFRS-R domains were mapped to equivalent CNS regions. Stage 4 is reached when gastrostomy or non- invasive ventilation is needed, but as a proxy we used provision. We collected ALSFRS-R from clinic visits, and compared the estimation of clinical stage from the ALSFRS-R with the actual stage. Results showed that the agreement between staging by the two methods was excellent with an intraclass correlation coefficient of 0.92 (95% confidence interval 0.88-0.94). There was no systematic bias towards over-staging or under-staging using the algorithm. In conclusion, we have shown that clinical stage in ALS can be reliably estimated using the ALSFRS-R in historical data and in current data where stage has not been recorded. |
| spellingShingle | Balendra, R Jones, A Jivraj, N Knights, C Ellis, C Burman, R Turner, M Leigh, P Shaw, C Al-Chalabi, A Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. |
| title | Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. |
| title_full | Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. |
| title_fullStr | Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. |
| title_full_unstemmed | Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. |
| title_short | Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. |
| title_sort | estimating clinical stage of amyotrophic lateral sclerosis from the als functional rating scale |
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