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      Journal of Pain Research (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on reporting of high-quality laboratory and clinical findings in all fields of pain research and the prevention and management of pain. Sign up for email alerts here.

      52,235 Monthly downloads/views I 2.832 Impact Factor I 4.5 CiteScore I 1.2 Source Normalized Impact per Paper (SNIP) I 0.655 Scimago Journal & Country Rank (SJR)

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      Is Open Access

      Pain Severity and Interference in Different Parkinson’s Disease Cognitive Phenotypes

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          Abstract

          Introduction

          Chronic pain is prevalent in idiopathic Parkinson’s disease (PD) with many individuals also experiencing cognitive deficits negatively impacting everyday life.

          Methods

          In this study, we examine differences in pain severity and interference between 113 nondemented individuals with idiopathic PD who were statistically classified as having low executive function (n=24), low memory function (n=35), no cognitive deficits (n=54). The individuals with PD were also compared to matched non-PD controls (n=64).

          Results

          PD participants with low executive function reported significantly higher pain interference (p<0.05), despite reporting similar pain severity levels compared to other phenotypes. These differences remained statistically significant, even after accounting for important confounders such as anxiety and depression (p<0.05).

          Discussion

          Pain interference in those with lower executive function may represent a target for psychosocial interventions for individuals with pain and PD.

          Most cited references45

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          Parallel organization of functionally segregated circuits linking basal ganglia and cortex.

          G E Alexander, M R DeLong, P L Strick (1986)
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            Parkinsonism: onset, progression, and mortality

            M Hoehn, M Yahr (1967)
            Neurology, 17(5), 427-427
            Article 0 comments Cited 919 times – based on 0 reviews     Review now
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              A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

              P Pompei, M Charlson, Tippi MacKenzie … (1986)
              The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
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                Author and article information

                Journal
                Journal ID (nlm-ta): J Pain Res
                Journal ID (iso-abbrev): J Pain Res
                Journal ID (publisher-id): jpr
                Journal ID (pmc): jpainres
                Title: Journal of Pain Research
                Publisher: Dove
                ISSN (Electronic): 1178-7090
                Publication date (Electronic): 29 December 2020
                Publication date Collection: 2020
                Volume: 13
                Pages: 3493-3497
                Affiliations
                [1 ]Pain Research & Intervention Center of Excellence, University of Florida , Gainesville, FL, USA
                [2 ]Department of Clinical and Health Psychology, University of Florida , Gainesville, FL, USA
                [3 ]Norman Fixel Institute for Neurological Diseases, University of Florida , Gainesville, FL, USA
                Author notes
                Correspondence: Catherine C Price ABPP/Cn Tel +1 352-273-5929 Email cep23@phhp.ufl.edu
                Author information
                http://orcid.org/0000-0002-0065-0236
                Article
                Publisher ID: 270669
                DOI: 10.2147/JPR.S270669
                PMC ID: 7778379
                SO-VID: 4eb94c36-86a0-4fa4-a422-4ed51a4aca44
                Copyright © © 2020 Cruz-Almeida et al.
                License:

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                Date received : 04 July 2020
                Date accepted : 29 October 2020
                Page count
                Figures: 1, References: 45, Pages: 5
                Categories
                Subject: Original Research

                ScienceOpen disciplines: Anesthesiology & Pain management
                Keywords: parkinson’s disease,pain,cognitive function,profiles,phenotypes
                Data availability:
                ScienceOpen disciplines: Anesthesiology & Pain management
                Keywords: parkinson’s disease, pain, cognitive function, profiles, phenotypes

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