Literature DB >> 21562413

Are self-reported pain characteristics, classified using the PainDETECT questionnaire, predictive of outcome in people with low back pain and associated leg pain?

Lars Morsø1, Peter M Kent, Hanne B Albert.   

Abstract

OBJECTIVE: This study was designed to investigate whether the PainDETECT Questionnaire (PDQ) classification was predictive of outcomes at 3 and 12 months follow-up in low back pain (LBP) patients with associated leg pain. Identification of clinically important subgroups and targeted treatment is believed to be important in LBP care. The PD-Q is designed to classify whether a person has neuropathic pain, based on their self-reported pain characteristics. However, it is unknown whether this classification is a prognostic factor or predicts treatment response.
METHOD: One hundred forty-five participants were recruited in the secondary care. Inclusion criteria were 3 to 12 months of LBP and related leg pain. Baseline PDQ scores classified participants into 3 groups ("likely" to have neuropathic pain, "uncertain," and "unlikely") but did not affect treatment decisions. The outcome measures were LBP, leg pain, activity limitation, and self-reported general health. Scores were compared between those with "likely" neuropathic pain (neuropathic group) and "unlikely" (non-neuropathic group), using Mann-Whitney, Friedman, and χ tests.
RESULTS: At baseline, the neuropathic group had worse scores on all outcome measures, and analgesic use, sick leave, and sense of coherence (P = 0.000 to 0.044). At 3 months and 12 months, both groups improved (P = 0.001 to 0.032). However, the groups remained different at each time point on all outcome measures (P = 0.000 to 0.033) except LBP (P = 0.054 to 0.214). DISCUSSION AND
CONCLUSIONS: The PDQ classification was a prognostic factor but was not predictive of response to treatment that was not targeted to neuropathic pain. Further studies should investigate whether PD-Q groups are predictive of treatment response when targeted to neuropathic pain.

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Year:  2011        PMID: 21562413     DOI: 10.1097/AJP.0b013e318208c941

Source DB:  PubMed          Journal:  Clin J Pain        ISSN: 0749-8047            Impact factor:   3.442


  10 in total

1.  Prevalence and associations of neuropathic pain in a cohort of multi-ethnic Asian low back pain patients.

Authors:  Yueting Kew; Cheng-Yin Tan; Chong-Jing Ng; Sue-Sien Thang; Leong-Hooi Tan; Yvonne Khaii Khoo; Jun-Ni Lim; Jia-Hui Ng; Chris Yin-Wei Chan; Mun-Keong Kwan; Khean-Jin Goh
Journal:  Rheumatol Int       Date:  2016-12-24       Impact factor: 2.631

2.  Evaluation of quality of life and neuropathic pain in patients with low back pain using the Japanese Orthopedic Association Back Pain Evaluation Questionnaire.

Authors:  Akihiko Hiyama; Masahiko Watanabe; Hiroyuki Katoh; Masato Sato; Daisuke Sakai; Joji Mochida
Journal:  Eur Spine J       Date:  2014-12-14       Impact factor: 3.134

3.  Clinical values of control over pain and pain coping strategies in surgical treatment for patients with lumbar spinal stenosis.

Authors:  Daisuke Higuchi
Journal:  Int J Spine Surg       Date:  2016-05-20

4.  Use of the painDETECT tool in rheumatoid arthritis suggests neuropathic and sensitization components in pain reporting.

Authors:  Saqa Ahmed; Tejal Magan; Mario Vargas; Abiola Harrison; Nidhi Sofat
Journal:  J Pain Res       Date:  2014-10-14       Impact factor: 3.133

5.  Neuropathic pain in patients with rotator cuff tears.

Authors:  Tatsuki Karasugi; Junji Ide; Toshio Kitamura; Nobukazu Okamoto; Takuya Tokunaga; Hiroshi Mizuta
Journal:  BMC Musculoskelet Disord       Date:  2016-11-02       Impact factor: 2.362

Review 6.  Can screening instruments accurately determine poor outcome risk in adults with recent onset low back pain? A systematic review and meta-analysis.

Authors:  Emma L Karran; James H McAuley; Adrian C Traeger; Susan L Hillier; Luzia Grabherr; Leslie N Russek; G Lorimer Moseley
Journal:  BMC Med       Date:  2017-01-19       Impact factor: 8.775

7.  Pharmacological target therapy of neuropathic pain and patient-reported outcomes in patients with chronic low back pain in Korea: Results from the NLBP Outcomes Research.

Authors:  Jae Taek Hong; Jin-Hwan Kim; Keun-Su Kim; Chong-Suh Lee; Hyun-Chul Shin; Woo-Kyung Kim; Joo-Han Kim; Jung-Kil Lee; In-Soo Kim; Yoon Ha; Soo-Bin Im; Sang Woo Kim; In-Ho Han; Jun-Jae Shin; ByeongCheol Rim; Kyung-Soo Suk; Jin-Hyok Kim; Ye-Soo Park; Bong-Soon Chang; Deuk Soo Jun; Young-Hoon Kim; Jung-Hee Lee; Woo-Kie Min; Jung Sub Lee; Si-Young Park; In-Soo Oh; Jae-Young Hong; Bo-Jeong Seo; Young-Joo Kim; Juneyoung Lee
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

8.  The value of pain coping constructs in subcategorising back pain patients according to risk of poor outcome.

Authors:  Nicholas Harland; Cormac Gerard Ryan
Journal:  Biomed Res Int       Date:  2013-10-24       Impact factor: 3.411

9.  Classifying patients with lumbar spinal stenosis using painDETECT: a cross-sectional study.

Authors:  Naoto Takahashi; Osamu Shirado; Kazuki Kobayashi; Ryosuke Mashiko; Shin-Ichi Konno
Journal:  BMC Fam Pract       Date:  2016-07-22       Impact factor: 2.497

Review 10.  Neuropathic low back pain in clinical practice.

Authors:  R Baron; A Binder; N Attal; R Casale; A H Dickenson; R-D Treede
Journal:  Eur J Pain       Date:  2016-03-02       Impact factor: 3.931

  10 in total

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