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Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus
BACKGROUND: Presently, for patients presenting with suspected Normal Pressure Hydrocephalus (NPH) who undergo temporary drainage of cerebrospinal fluid (CSF) there is no defined model to differentiate chance improvement form clinical significance change at the individual patient level. To address th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164303/ https://www.ncbi.nlm.nih.gov/pubmed/32299370 http://dx.doi.org/10.1186/s12883-020-01719-y |
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author | Davis, Alexander Yasar, Sevil Emerman, Iris Gulyani, Seema Khingelova, Kristina Rao, Aruna Manthripragada, Lacie Luciano, Mark Moghekar, Abhay |
author_facet | Davis, Alexander Yasar, Sevil Emerman, Iris Gulyani, Seema Khingelova, Kristina Rao, Aruna Manthripragada, Lacie Luciano, Mark Moghekar, Abhay |
author_sort | Davis, Alexander |
collection | PubMed |
description | BACKGROUND: Presently, for patients presenting with suspected Normal Pressure Hydrocephalus (NPH) who undergo temporary drainage of cerebrospinal fluid (CSF) there is no defined model to differentiate chance improvement form clinical significance change at the individual patient level. To address this lack of information we computed standard regression based clinical change models for the 10 Meter Walk Test, Timed Up & Go, Dual Timed Up & Go, 6-Minute Walk Test, Mini-Balance Evaluation Systems Test, Montreal Cognitive Assessment, and Symbol Digit Modalities using data from patients with suspected NPH that underwent temporary drainage of CSF. These clinically significant change modes can classify clinically significant improvement following temporary drainage of CSF at the individual patient level. This allows for physicians to differentiate a clinically significant improvement in symptoms from chance improvement. METHODS: Data was collected from 323 patients, over the age of 60, with suspected NPH that underwent temporary drainage of CSF with corresponding gait and cognitive testing. McSweeney Standardized Regression Based Clinical Change Models were computed for standard gait and cognitive measures: Timed Up & Go, Dual Timed Up & Go, 10 Meter Walk Test, MiniBESTest, 6-Minute Walk Test, Montreal Cognitive Assessment, and Symbol Digit Modalities Test. To assess the discriminate validity of the measures we used correlations, Chi(2), and regression analyses. RESULTS: The clinical change models explained 69–91.8% of the variability in post-drain performance (p < 0.001). As patient scores became more impaired, the percent change required for improvement to be clinically significant increased for all measures. We found that the measures were not discriminate, the Timed Up & Go was highly related to the 10 Meter Walk Test (r = 0.85, R(2) = 0.769–0.738, p < 0.001), MiniBESTest (r = − 0.67, R(2) = 0.589–0.734, p < 0.001), and 6 Minute Walk Test (r = − 0.77, R(2) = 0.71–0.734, p < 0.001). CONCLUSION: Standardized Regression Based Clinically Significant Change Models allow for physicians to use an evidence-based approach to differentiate clinically significant change from chance improvement at the individual patient level. The Timed Up & Go was shown to be predictive of detailed measures of gait velocity, balance, and endurance. |
format | Online Article Text |
id | pubmed-7164303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71643032020-04-22 Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus Davis, Alexander Yasar, Sevil Emerman, Iris Gulyani, Seema Khingelova, Kristina Rao, Aruna Manthripragada, Lacie Luciano, Mark Moghekar, Abhay BMC Neurol Research Article BACKGROUND: Presently, for patients presenting with suspected Normal Pressure Hydrocephalus (NPH) who undergo temporary drainage of cerebrospinal fluid (CSF) there is no defined model to differentiate chance improvement form clinical significance change at the individual patient level. To address this lack of information we computed standard regression based clinical change models for the 10 Meter Walk Test, Timed Up & Go, Dual Timed Up & Go, 6-Minute Walk Test, Mini-Balance Evaluation Systems Test, Montreal Cognitive Assessment, and Symbol Digit Modalities using data from patients with suspected NPH that underwent temporary drainage of CSF. These clinically significant change modes can classify clinically significant improvement following temporary drainage of CSF at the individual patient level. This allows for physicians to differentiate a clinically significant improvement in symptoms from chance improvement. METHODS: Data was collected from 323 patients, over the age of 60, with suspected NPH that underwent temporary drainage of CSF with corresponding gait and cognitive testing. McSweeney Standardized Regression Based Clinical Change Models were computed for standard gait and cognitive measures: Timed Up & Go, Dual Timed Up & Go, 10 Meter Walk Test, MiniBESTest, 6-Minute Walk Test, Montreal Cognitive Assessment, and Symbol Digit Modalities Test. To assess the discriminate validity of the measures we used correlations, Chi(2), and regression analyses. RESULTS: The clinical change models explained 69–91.8% of the variability in post-drain performance (p < 0.001). As patient scores became more impaired, the percent change required for improvement to be clinically significant increased for all measures. We found that the measures were not discriminate, the Timed Up & Go was highly related to the 10 Meter Walk Test (r = 0.85, R(2) = 0.769–0.738, p < 0.001), MiniBESTest (r = − 0.67, R(2) = 0.589–0.734, p < 0.001), and 6 Minute Walk Test (r = − 0.77, R(2) = 0.71–0.734, p < 0.001). CONCLUSION: Standardized Regression Based Clinically Significant Change Models allow for physicians to use an evidence-based approach to differentiate clinically significant change from chance improvement at the individual patient level. The Timed Up & Go was shown to be predictive of detailed measures of gait velocity, balance, and endurance. BioMed Central 2020-04-16 /pmc/articles/PMC7164303/ /pubmed/32299370 http://dx.doi.org/10.1186/s12883-020-01719-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Davis, Alexander Yasar, Sevil Emerman, Iris Gulyani, Seema Khingelova, Kristina Rao, Aruna Manthripragada, Lacie Luciano, Mark Moghekar, Abhay Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus |
title | Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus |
title_full | Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus |
title_fullStr | Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus |
title_full_unstemmed | Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus |
title_short | Standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus |
title_sort | standardized regression-based clinical change score cutoffs for normal pressure hydrocephalus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164303/ https://www.ncbi.nlm.nih.gov/pubmed/32299370 http://dx.doi.org/10.1186/s12883-020-01719-y |
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