Literature DB >> 31233655

The central sensitization inventory predict pain-related disability for musculoskeletal disorders in the primary care setting.

Katsuyoshi Tanaka1,2, Shunsuke Murata1,3,4, Tomohiko Nishigami5, Akira Mibu5, Masahiro Manfuku6, Yoshikazu Shinohara2, Akihito Tanabe2, Rei Ono1.   

Abstract

BACKGROUND: Central sensitization (CS) is found in patients with musculoskeletal disorders and is related to clinical symptoms, including pain-related disability. The Central Sensitization Inventory (CSI) has been developed for patients who are at risk of symptoms related to CS, and CSI severity levels are suggested for clinical interpretation of the CSI score. However, the longitudinal relationship between CSI severity and pain-related disability is unclear in primary care. In this study, we investigated the association between CSI severity levels and the profiles of patients with musculoskeletal disorders as well as the longitudinal relationship between CSI severity levels and pain-related disability in primary care settings.
METHODS: A total of 553 patients were assessed using CSI, EuroQol-5 dimension (EQ5D), and Brief Pain Inventory (BPI). Of the 553 patients, 150 patients were reassessed at the 3-month follow-up. Patients were grouped into three severity levels according to baseline CSI score: subclinical, mild, and moderate to higher level.
RESULTS: As the CSI severity levels increased, the clinical symptoms tended to worsen on cross-sectional analysis (p < 0.05). Pain-related disability at the 3-month follow-up was significantly higher for patients with moderate to high baseline CSI severity levels than for patients with subclinical baseline CSI levels (p < 0.001). Furthermore, pain-related disability increased according to the CSI severity level, with a medium to large effect size. However, there were no differences in pain duration across the CSI severity levels.
CONCLUSIONS: CSI has clinical utility as a prediction tool regardless of pain duration in patients with musculoskeletal disorders in primary care settings. SIGNIFICANCE: Higher CSI severity levels predicted higher pain-related disability for patients with musculoskeletal disorders in a primary care setting. CSI is a clinically useful prediction tool in patients with musculoskeletal disorders.
© 2019 European Pain Federation - EFIC®.

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Year:  2019        PMID: 31233655     DOI: 10.1002/ejp.1443

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.931


  10 in total

1.  Adaptive body awareness predicts fewer central sensitization-related symptoms and explains relationship between central sensitization-related symptoms and pain intensity: A cross-sectional study among individuals with chronic pain.

Authors:  Dana Dharmakaya Colgan; Ashley Eddy; Kaylie Green; Barry Oken
Journal:  Pain Pract       Date:  2021-11-11       Impact factor: 3.183

2.  Predictors of pain persistence and disability in high-school students with chronic neck pain at 6-month follow-up.

Authors:  Rosa Andias; Anabela G Silva
Journal:  Qual Life Res       Date:  2021-09-06       Impact factor: 4.147

3.  Somatosensory Profiles Differentiate Pain and Psychophysiological Symptoms Among Young Adults With Irritable Bowel Syndrome: A Cluster Analysis.

Authors:  Jie Chen; Yiming Zhang; Zahra A Barandouzi; Wanli Xu; Bin Feng; Ki Chon; Melissa Santos; Angela Starkweather; Xiaomei Cong
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4.  Early response to JAK inhibitors on central sensitization and pain catastrophizing in patients with active rheumatoid arthritis.

Authors:  Fausto Salaffi; Marina Carotti; Sonia Farah; Luca Ceccarelli; Andrea Giovagnoni; Marco Di Carlo
Journal:  Inflammopharmacology       Date:  2022-05-03       Impact factor: 5.093

5.  Use of the painDETECT to discriminate musculoskeletal pain phenotypes.

Authors:  Juliana Valentim Bittencourt; Márcia Cliton Bezerra; Mônica Rotondo Pina; Felipe José Jandre Reis; Arthur de Sá Ferreira; Leandro Alberto Calazans Nogueira
Journal:  Arch Physiother       Date:  2022-02-17

6.  Characteristics of clusters with contrasting relationships between central sensitization-related symptoms and pain.

Authors:  Masayuki Koga; Hayato Shigetoh; Yoichi Tanaka; Shu Morioka
Journal:  Sci Rep       Date:  2022-02-16       Impact factor: 4.379

7.  Determinants of Pain-Induced Disability in German Women with Endometriosis during the COVID-19 Pandemic.

Authors:  Roxana Schwab; Kathrin Stewen; Tanja Kottmann; Susanne Theis; Tania Elger; Bashar Haj Hamoud; Mona W Schmidt; Katharina Anic; Walburgis Brenner; Annette Hasenburg
Journal:  Int J Environ Res Public Health       Date:  2022-07-06       Impact factor: 4.614

8.  Central Sensitisation and functioning in patients with chronic low back pain: protocol for a cross-sectional and cohort study.

Authors:  Jone Ansuategui Echeita; Henrica R Schiphorst Preuper; Rienk Dekker; Ilse Stuive; Hans Timmerman; Andre P Wolff; Michiel F Reneman
Journal:  BMJ Open       Date:  2020-03-08       Impact factor: 2.692

9.  Central Sensitivity Is Associated with Poor Recovery of Pain: Prediction, Cluster, and Decision Tree Analyses.

Authors:  Hayato Shigetoh; Masayuki Koga; Yoichi Tanaka; Shu Morioka
Journal:  Pain Res Manag       Date:  2020-10-30       Impact factor: 3.037

10.  Exploring multidimensional characteristics in cervicogenic headache: Relations between pain processing, lifestyle, and psychosocial factors.

Authors:  Sarah Mingels; Wim Dankaerts; Ludo van Etten; Liesbeth Bruckers; Marita Granitzer
Journal:  Brain Behav       Date:  2021-09-02       Impact factor: 2.708

  10 in total

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