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Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN)
Background: Symptomatic lumbar spinal stenosis (SLSS) is a condition in which narrowing of the spinal canal results in entrapment and compression of neurovascular structures. Decompressive surgery, with or without spinal fusion, is recommended for those with severe symptoms for whom conservative man...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942767/ https://www.ncbi.nlm.nih.gov/pubmed/33987516 http://dx.doi.org/10.1080/24740527.2020.1734918 |
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author | Rowe, Erynne Hassan, Elizabeth Carlesso, Lisa Astephen Wilson, Janie Gross, Douglas P. Fisher, Charles Hall, Hamilton Manson, Neil Thomas, Ken McIntosh, Greg Drew, Brian Rampersaud, Raja Macedo, Luciana |
author_facet | Rowe, Erynne Hassan, Elizabeth Carlesso, Lisa Astephen Wilson, Janie Gross, Douglas P. Fisher, Charles Hall, Hamilton Manson, Neil Thomas, Ken McIntosh, Greg Drew, Brian Rampersaud, Raja Macedo, Luciana |
author_sort | Rowe, Erynne |
collection | PubMed |
description | Background: Symptomatic lumbar spinal stenosis (SLSS) is a condition in which narrowing of the spinal canal results in entrapment and compression of neurovascular structures. Decompressive surgery, with or without spinal fusion, is recommended for those with severe symptoms for whom conservative management has failed. However, significant persistent pain, functional limitations, and narcotic use can affect up to one third of patients postsurgery. Aims: The aim of this study will be to identify predictors of outcomes 1-year post SLSS surgery with a focus on modifiable predictors. Methods: The Canadian Spine Outcomes Research Network (CSORN) is a large database of prospectively collected data on pre- and postsurgical outcomes among surgical patients. We include participants with a primary diagnosis of SLSS undergoing their first spine surgery. Outcomes are measured at 12 months after surgery and include back and leg pain, disability (Oswestry Disability Index, ODI), walking capacity (ODI item 4), health-related quality of life, and an overall recovery composite outcome (clinically important changes in pain, disability, and quality of life). Predictors include demographics (education level, work status, marital status, age, sex, body mass index), physical activity level, smoking status, previous conservative treatments, medication intake, depression, patient expectations, and other comorbidities. A multivariate partial least squares model is used to identify predictors of outcomes. Conclusion: Study results will inform targeted SLSS interventions, either for the selection of best candidates for surgery or the identification of targets for presurgical rehabilitation programs. |
format | Online Article Text |
id | pubmed-7942767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-79427672021-05-12 Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN) Rowe, Erynne Hassan, Elizabeth Carlesso, Lisa Astephen Wilson, Janie Gross, Douglas P. Fisher, Charles Hall, Hamilton Manson, Neil Thomas, Ken McIntosh, Greg Drew, Brian Rampersaud, Raja Macedo, Luciana Can J Pain Original Articles Background: Symptomatic lumbar spinal stenosis (SLSS) is a condition in which narrowing of the spinal canal results in entrapment and compression of neurovascular structures. Decompressive surgery, with or without spinal fusion, is recommended for those with severe symptoms for whom conservative management has failed. However, significant persistent pain, functional limitations, and narcotic use can affect up to one third of patients postsurgery. Aims: The aim of this study will be to identify predictors of outcomes 1-year post SLSS surgery with a focus on modifiable predictors. Methods: The Canadian Spine Outcomes Research Network (CSORN) is a large database of prospectively collected data on pre- and postsurgical outcomes among surgical patients. We include participants with a primary diagnosis of SLSS undergoing their first spine surgery. Outcomes are measured at 12 months after surgery and include back and leg pain, disability (Oswestry Disability Index, ODI), walking capacity (ODI item 4), health-related quality of life, and an overall recovery composite outcome (clinically important changes in pain, disability, and quality of life). Predictors include demographics (education level, work status, marital status, age, sex, body mass index), physical activity level, smoking status, previous conservative treatments, medication intake, depression, patient expectations, and other comorbidities. A multivariate partial least squares model is used to identify predictors of outcomes. Conclusion: Study results will inform targeted SLSS interventions, either for the selection of best candidates for surgery or the identification of targets for presurgical rehabilitation programs. Taylor & Francis 2020-12-30 /pmc/articles/PMC7942767/ /pubmed/33987516 http://dx.doi.org/10.1080/24740527.2020.1734918 Text en © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Rowe, Erynne Hassan, Elizabeth Carlesso, Lisa Astephen Wilson, Janie Gross, Douglas P. Fisher, Charles Hall, Hamilton Manson, Neil Thomas, Ken McIntosh, Greg Drew, Brian Rampersaud, Raja Macedo, Luciana Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN) |
title | Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN) |
title_full | Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN) |
title_fullStr | Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN) |
title_full_unstemmed | Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN) |
title_short | Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN) |
title_sort | predicting recovery after lumbar spinal stenosis surgery: a protocol for a historical cohort study using data from the canadian spine outcomes research network (csorn) |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942767/ https://www.ncbi.nlm.nih.gov/pubmed/33987516 http://dx.doi.org/10.1080/24740527.2020.1734918 |
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