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Assessing the non-motor symptoms of Parkinson's disease: MDS- UPDRS and NMS Scale.

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Title: Assessing the non-motor symptoms of Parkinson's disease: MDS- UPDRS and NMS Scale.
Authors: Martinez ‐ Martin, P., Chaudhuri, K. R., Rojo ‐ Abuin, J. M., Rodriguez ‐ Blazquez, C., Alvarez ‐ Sanchez, M., Arakaki, T., Bergareche ‐ Yarza, A., Chade, A., Garretto, N., Gershanik, O., Kurtis, M. M., Martinez ‐ Castrillo, J. C., Mendoza ‐ Rodriguez, A., Moore, H. P., Rodriguez ‐ Violante, M., Singer, C., Tilley, B. C., Huang, J., Stebbins, G. T., Goetz, C. G.
Source: European Journal of Neurology. Jan2015, Vol. 22 Issue 1, p37-43. 7p. 3 Charts, 1 Graph.
Subjects: Parkinson's disease, Motor ability, Regression analysis, Equations, Rank correlation (Statistics)
Abstract: Background and purpose Although Parkinson's disease (PD) is characterized by typical motor manifestations, non-motor symptoms (NMS) are an outstanding part of the disease. At present, several specific instruments for assessment of NMS are available. The objective of our study was to determine the performance of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Part I - Non-Motor Aspects of Experiences of Daily Living (nM-EDL) compared with the Non-Motor Symptoms Scale (NMSS). Methods To this purpose, 434 consecutive patients with PD were included in an international, observational, cross-sectional study. The association between scores of both scales was determined by the Spearman rank correlation coefficient. Equations for transformation of total score of a scale to the other were constructed from weighted regression models and both, transformed and observed score, contrasted by means of the Lin's Concordance Correlation Coefficient ( LCCC) and Bland-Altman plot. Results As a whole, the prevalence of the NMS according to each scale was quite similar, and most of the correlations between their corresponding components were high ( rS > 0.60). The total score correlation of the MDS-UPDRS Part I with the NMSS was high ( rS = 0.81). Concerning the transformed scores, estimated scores only partially approach the observed ones (sharing about 60-64% of the variance) because residual variance increased with increasing magnitudes of the scores, i.e. the most severe patients (Bland-Altman plot; LCCC < 0.60 for severe patients). Conclusions (i) MDS-UPDRS Part I ( nM-EDL) and NMSS showed a strong convergent validity; (ii) however, transformed scores using the equations from weighted regression models showed that for patients with the most severe NMS they are not concordant. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Assessing the non-motor symptoms of Parkinson&#39;s disease: MDS- UPDRS and NMS Scale.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Martinez+‐+Martin%2C+P%2E%22&quot;&gt;Martinez ‐ Martin, P.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chaudhuri%2C+K%2E+R%2E%22&quot;&gt;Chaudhuri, K. R.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Rojo+‐+Abuin%2C+J%2E+M%2E%22&quot;&gt;Rojo ‐ Abuin, J. M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Rodriguez+‐+Blazquez%2C+C%2E%22&quot;&gt;Rodriguez ‐ Blazquez, C.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Alvarez+‐+Sanchez%2C+M%2E%22&quot;&gt;Alvarez ‐ Sanchez, M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Arakaki%2C+T%2E%22&quot;&gt;Arakaki, T.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Bergareche+‐+Yarza%2C+A%2E%22&quot;&gt;Bergareche ‐ Yarza, A.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chade%2C+A%2E%22&quot;&gt;Chade, A.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Garretto%2C+N%2E%22&quot;&gt;Garretto, N.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Gershanik%2C+O%2E%22&quot;&gt;Gershanik, O.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kurtis%2C+M%2E+M%2E%22&quot;&gt;Kurtis, M. M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Martinez+‐+Castrillo%2C+J%2E+C%2E%22&quot;&gt;Martinez ‐ Castrillo, J. C.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Mendoza+‐+Rodriguez%2C+A%2E%22&quot;&gt;Mendoza ‐ Rodriguez, A.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Moore%2C+H%2E+P%2E%22&quot;&gt;Moore, H. P.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Rodriguez+‐+Violante%2C+M%2E%22&quot;&gt;Rodriguez ‐ Violante, M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Singer%2C+C%2E%22&quot;&gt;Singer, C.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Tilley%2C+B%2E+C%2E%22&quot;&gt;Tilley, B. C.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Huang%2C+J%2E%22&quot;&gt;Huang, J.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Stebbins%2C+G%2E+T%2E%22&quot;&gt;Stebbins, G. T.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Goetz%2C+C%2E+G%2E%22&quot;&gt;Goetz, C. G.&lt;/searchLink&gt;
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22European+Journal+of+Neurology%22&quot;&gt;European Journal of Neurology&lt;/searchLink&gt;. Jan2015, Vol. 22 Issue 1, p37-43. 7p. 3 Charts, 1 Graph.
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  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Parkinson&#39;s+disease%22&quot;&gt;Parkinson&#39;s disease&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Motor+ability%22&quot;&gt;Motor ability&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Regression+analysis%22&quot;&gt;Regression analysis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Equations%22&quot;&gt;Equations&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Rank+correlation+%28Statistics%29%22&quot;&gt;Rank correlation (Statistics)&lt;/searchLink&gt;
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  Data: Background and purpose Although Parkinson&#39;s disease (PD) is characterized by typical motor manifestations, non-motor symptoms (NMS) are an outstanding part of the disease. At present, several specific instruments for assessment of NMS are available. The objective of our study was to determine the performance of the Movement Disorder Society-Unified Parkinson&#39;s Disease Rating Scale (MDS-UPDRS): Part I - Non-Motor Aspects of Experiences of Daily Living (nM-EDL) compared with the Non-Motor Symptoms Scale (NMSS). Methods To this purpose, 434 consecutive patients with PD were included in an international, observational, cross-sectional study. The association between scores of both scales was determined by the Spearman rank correlation coefficient. Equations for transformation of total score of a scale to the other were constructed from weighted regression models and both, transformed and observed score, contrasted by means of the Lin&#39;s Concordance Correlation Coefficient ( LCCC) and Bland-Altman plot. Results As a whole, the prevalence of the NMS according to each scale was quite similar, and most of the correlations between their corresponding components were high ( rS &gt; 0.60). The total score correlation of the MDS-UPDRS Part I with the NMSS was high ( rS = 0.81). Concerning the transformed scores, estimated scores only partially approach the observed ones (sharing about 60-64% of the variance) because residual variance increased with increasing magnitudes of the scores, i.e. the most severe patients (Bland-Altman plot; LCCC &lt; 0.60 for severe patients). Conclusions (i) MDS-UPDRS Part I ( nM-EDL) and NMSS showed a strong convergent validity; (ii) however, transformed scores using the equations from weighted regression models showed that for patients with the most severe NMS they are not concordant. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=99961467
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