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PainDETECT as a potential tool for personalized medicine: predicting outcome one year after knee arthroplasty

PainDETECT as a potential tool for personalized medicine: predicting outcome one year after knee arthroplasty
PainDETECT as a potential tool for personalized medicine: predicting outcome one year after knee arthroplasty

Objective: to investigate whether neuropathic-like pain, identified using the PainDETECT questionnaire, predicts postoperative symptoms, using data from 2 independent, prospective cohort studies. 

Patients and Methods: data were collected from patients undergoing primary knee arthroplasty for primary osteoarthritis recruited to the Evaluation of perioperative Pain in Osteoarthritis of the kNEe (EPIONE) Study n=120, from October 1, 2011, to May 30, 2014, and the Clinical Outcomes in Arthroplasty Study (COASt) n=404, from January 1, 2010, to December 31, 2018). The PainDETECT questionnaire score was used to divide patients into nociceptive (<13), unclear (13-18), and neuropathic pain (>18) groups preoperatively using validated cutoffs. As the neuropathic group also captures nociplastic pain, we used neuropathic-like to represent this combination. Surgical outcome was compared between groups using the Oxford Knee Score (OKS) and the presence of moderate to severe pain 12 months after arthroplasty. 

Results: total of 296 (56%) reported nociceptive, 144 (27%) unclear, and 84 (16%) neuropathic-like pain preoperatively. Patients in the neuropathic-like pain group had significantly worse OKS postoperatively, compared with the nociceptive group (34 [12] vs 40 [8], P<.05), independent of baseline OKS, age, sex, and body mass index. Moderate to severe pain 12 months after arthroplasty was statistically significantly higher in the unclear (OR 2.19 [95% CI, 1.36-3.53]) and neuropathic-like (OR, 2.83 [95% CI, 1.58-5.09]) pain groups when compared with the nociceptive group. 

Conclusion: patients classified presurgery as having unclear and neuropathic pain by the modified PainDETECT have considerably worse outcomes after surgery. Neuropathic pain categorized by this tool commonly has centralized pain features and is a potential predictor of ongoing postsurgical pain. Knowledge of this may aid informed decision-making with respect to surgical intervention for those with knee osteoarthritis.

2542-4548
Wall, Amanda J.W.
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Leyland, Kirsten M.
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Kiran, Amit
4b4006e4-c155-408b-ac66-6342c7b3d0ee
Arden, Nigel K.
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Cooper, Cyrus
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Wanigasekera, Vishvarani
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Javaid, M. Kassim
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Price, Andrew J.
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Tracey, Irene M.C.
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Irani, Anushka
7ebcdf03-c19c-42ec-9e80-9df65d30e61f
Wall, Amanda J.W.
aab33d85-d6c7-4126-bbb8-cf9afa9e6357
Leyland, Kirsten M.
1fa50316-86aa-43f9-b37e-d9d0111de19c
Kiran, Amit
4b4006e4-c155-408b-ac66-6342c7b3d0ee
Arden, Nigel K.
23af958d-835c-4d79-be54-4bbe4c68077f
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Wanigasekera, Vishvarani
c8dc05a8-bab8-4c4d-9528-b29a5dddaa4f
Javaid, M. Kassim
68b6dcd1-dacf-4891-96ee-c64e9c3d6f90
Price, Andrew J.
3e1f1c5b-12d0-4173-995e-d9bba77b5562
Tracey, Irene M.C.
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Irani, Anushka
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Wall, Amanda J.W., Leyland, Kirsten M., Kiran, Amit, Arden, Nigel K., Cooper, Cyrus, Wanigasekera, Vishvarani, Javaid, M. Kassim, Price, Andrew J., Tracey, Irene M.C. and Irani, Anushka (2025) PainDETECT as a potential tool for personalized medicine: predicting outcome one year after knee arthroplasty. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 9 (5), [100649]. (doi:10.1016/j.mayocpiqo.2025.100649).

Record type: Article

Abstract

Objective: to investigate whether neuropathic-like pain, identified using the PainDETECT questionnaire, predicts postoperative symptoms, using data from 2 independent, prospective cohort studies. 

Patients and Methods: data were collected from patients undergoing primary knee arthroplasty for primary osteoarthritis recruited to the Evaluation of perioperative Pain in Osteoarthritis of the kNEe (EPIONE) Study n=120, from October 1, 2011, to May 30, 2014, and the Clinical Outcomes in Arthroplasty Study (COASt) n=404, from January 1, 2010, to December 31, 2018). The PainDETECT questionnaire score was used to divide patients into nociceptive (<13), unclear (13-18), and neuropathic pain (>18) groups preoperatively using validated cutoffs. As the neuropathic group also captures nociplastic pain, we used neuropathic-like to represent this combination. Surgical outcome was compared between groups using the Oxford Knee Score (OKS) and the presence of moderate to severe pain 12 months after arthroplasty. 

Results: total of 296 (56%) reported nociceptive, 144 (27%) unclear, and 84 (16%) neuropathic-like pain preoperatively. Patients in the neuropathic-like pain group had significantly worse OKS postoperatively, compared with the nociceptive group (34 [12] vs 40 [8], P<.05), independent of baseline OKS, age, sex, and body mass index. Moderate to severe pain 12 months after arthroplasty was statistically significantly higher in the unclear (OR 2.19 [95% CI, 1.36-3.53]) and neuropathic-like (OR, 2.83 [95% CI, 1.58-5.09]) pain groups when compared with the nociceptive group. 

Conclusion: patients classified presurgery as having unclear and neuropathic pain by the modified PainDETECT have considerably worse outcomes after surgery. Neuropathic pain categorized by this tool commonly has centralized pain features and is a potential predictor of ongoing postsurgical pain. Knowledge of this may aid informed decision-making with respect to surgical intervention for those with knee osteoarthritis.

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Accepted/In Press date: 1 August 2025
e-pub ahead of print date: 4 August 2025
Published date: October 2025

Identifiers

Local EPrints ID: 505567
URI: http://eprints.soton.ac.uk/id/eprint/505567
ISSN: 2542-4548
PURE UUID: b9bd10c4-1b19-4226-bfdf-e27b425d4d97
ORCID for Cyrus Cooper: ORCID iD orcid.org/0000-0003-3510-0709

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Date deposited: 14 Oct 2025 16:35
Last modified: 15 Oct 2025 01:36

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Contributors

Author: Amanda J.W. Wall
Author: Kirsten M. Leyland
Author: Amit Kiran
Author: Nigel K. Arden
Author: Cyrus Cooper ORCID iD
Author: Vishvarani Wanigasekera
Author: M. Kassim Javaid
Author: Andrew J. Price
Author: Irene M.C. Tracey
Author: Anushka Irani

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