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Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease
BACKGROUND: Identifying predictors of incident cognitive impairment (CI), one of the most problematic long‐term outcomes, in Parkinson's disease (PD) is highly relevant for personalized medicine and prognostic counseling. The Nonmotor Symptoms Scale (NMSS) provides a global clinical assessment...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119808/ https://www.ncbi.nlm.nih.gov/pubmed/33645912 http://dx.doi.org/10.1002/brb3.2086 |
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author | Oikonomou, Panteleimon van Wamelen, Daniel J. Weintraub, Daniel Aarsland, Dag Ffytche, Dominic Martinez‐Martin, Pablo Rodriguez‐Blazquez, Carmen Leta, Valentina Borley, Corinne Sportelli, Carolina Trivedi, Dhaval Podlewska, Aleksandra M. Rukavina, Katarina Rizos, Alexandra Lazcano‐Ocampo, Claudia Ray Chaudhuri, Kallol |
author_facet | Oikonomou, Panteleimon van Wamelen, Daniel J. Weintraub, Daniel Aarsland, Dag Ffytche, Dominic Martinez‐Martin, Pablo Rodriguez‐Blazquez, Carmen Leta, Valentina Borley, Corinne Sportelli, Carolina Trivedi, Dhaval Podlewska, Aleksandra M. Rukavina, Katarina Rizos, Alexandra Lazcano‐Ocampo, Claudia Ray Chaudhuri, Kallol |
author_sort | Oikonomou, Panteleimon |
collection | PubMed |
description | BACKGROUND: Identifying predictors of incident cognitive impairment (CI), one of the most problematic long‐term outcomes, in Parkinson's disease (PD) is highly relevant for personalized medicine and prognostic counseling. The Nonmotor Symptoms Scale (NMSS) provides a global clinical assessment of a range of NMS, reflecting NMS burden (NMSB), and thus may assist in the identification of an “at‐risk” CI group based on overall NMSB cutoff scores. METHODS: To investigate whether specific patterns of PD NMS profiles predict incident CI, we performed a retrospective longitudinal study on a convenience sample of 541 nondemented PD patients taking part in the Nonmotor Longitudinal International Study (NILS) cohort, with Mini‐Mental State Examination (MMSE), NMSS, and Scales for Outcomes in PD Motor Scale (SCOPA Motor) scores at baseline and last follow‐up (mean 3.2 years) being available. RESULTS: PD patients with incident CI (i.e., MMSE score ≤ 25) at last follow‐up (n = 107) had severe overall NMSB level, significantly worse NMSS hallucinations/perceptual problems and higher NMSS attention/memory scores at baseline. Patients with CI also were older and with more advanced disease, but with no differences in disease duration, dopamine replacement therapy, sex, and comorbid depression, anxiety, and sleep disorders. CONCLUSIONS: Our findings suggest that a comprehensive baseline measure of NMS and in particular hallucinations and perceptual problems assessed with a validated single instrument can be used to predict incident CI in PD. This approach provides a simple, holistic strategy to predict future CI in this population. |
format | Online Article Text |
id | pubmed-8119808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81198082021-05-20 Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease Oikonomou, Panteleimon van Wamelen, Daniel J. Weintraub, Daniel Aarsland, Dag Ffytche, Dominic Martinez‐Martin, Pablo Rodriguez‐Blazquez, Carmen Leta, Valentina Borley, Corinne Sportelli, Carolina Trivedi, Dhaval Podlewska, Aleksandra M. Rukavina, Katarina Rizos, Alexandra Lazcano‐Ocampo, Claudia Ray Chaudhuri, Kallol Brain Behav Original Research BACKGROUND: Identifying predictors of incident cognitive impairment (CI), one of the most problematic long‐term outcomes, in Parkinson's disease (PD) is highly relevant for personalized medicine and prognostic counseling. The Nonmotor Symptoms Scale (NMSS) provides a global clinical assessment of a range of NMS, reflecting NMS burden (NMSB), and thus may assist in the identification of an “at‐risk” CI group based on overall NMSB cutoff scores. METHODS: To investigate whether specific patterns of PD NMS profiles predict incident CI, we performed a retrospective longitudinal study on a convenience sample of 541 nondemented PD patients taking part in the Nonmotor Longitudinal International Study (NILS) cohort, with Mini‐Mental State Examination (MMSE), NMSS, and Scales for Outcomes in PD Motor Scale (SCOPA Motor) scores at baseline and last follow‐up (mean 3.2 years) being available. RESULTS: PD patients with incident CI (i.e., MMSE score ≤ 25) at last follow‐up (n = 107) had severe overall NMSB level, significantly worse NMSS hallucinations/perceptual problems and higher NMSS attention/memory scores at baseline. Patients with CI also were older and with more advanced disease, but with no differences in disease duration, dopamine replacement therapy, sex, and comorbid depression, anxiety, and sleep disorders. CONCLUSIONS: Our findings suggest that a comprehensive baseline measure of NMS and in particular hallucinations and perceptual problems assessed with a validated single instrument can be used to predict incident CI in PD. This approach provides a simple, holistic strategy to predict future CI in this population. John Wiley and Sons Inc. 2021-03-01 /pmc/articles/PMC8119808/ /pubmed/33645912 http://dx.doi.org/10.1002/brb3.2086 Text en © 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Oikonomou, Panteleimon van Wamelen, Daniel J. Weintraub, Daniel Aarsland, Dag Ffytche, Dominic Martinez‐Martin, Pablo Rodriguez‐Blazquez, Carmen Leta, Valentina Borley, Corinne Sportelli, Carolina Trivedi, Dhaval Podlewska, Aleksandra M. Rukavina, Katarina Rizos, Alexandra Lazcano‐Ocampo, Claudia Ray Chaudhuri, Kallol Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease |
title | Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease |
title_full | Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease |
title_fullStr | Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease |
title_full_unstemmed | Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease |
title_short | Nonmotor symptom burden grading as predictor of cognitive impairment in Parkinson’s disease |
title_sort | nonmotor symptom burden grading as predictor of cognitive impairment in parkinson’s disease |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119808/ https://www.ncbi.nlm.nih.gov/pubmed/33645912 http://dx.doi.org/10.1002/brb3.2086 |
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