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  3. Re-thinking the definition of CPSP: composites of patient-reported pain-related outcomes versus pain intensities alone.
 

Re-thinking the definition of CPSP: composites of patient-reported pain-related outcomes versus pain intensities alone.

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BORIS DOI
10.48350/169414
Publisher DOI
10.1097/j.pain.0000000000002653
PubMed ID
35442934
Description
ABSTRACT

Chronic postsurgical pain (CPSP) is defined by pain intensity and pain-related functional interference. This study included measures of function in a composite score of patient-reported outcomes (PROs) to investigate the incidence of CPSP. Registry data were analyzed for PROs one day and 12 months postoperatively. Based on pain intensity and pain-related interference with function, patients were allocated to the groups "CPSPF" (at least moderate pain with interference), "Mixed" (milder symptoms) and "No CPSPF". The incidence of CPSPF was compared to CPSP rates referring to published data. Variables associated with the PRO-12 score (composite PROs at 12 months; NRS 0-10) were analyzed by linear regression analysis. Of 2319 patients, 8.6%, 32.5% and 58.9% were allocated to the groups CPSPF, Mixed and No CPSPF. Exclusion of patients whose pain scores did not increase compared to the preoperative status, resulted in a 3.3% incidence. Of the patients without pre-existing pain, 4.1% had CPSPF. Previously published pain cut-offs of NRS >0, ≥3 or ≥4, used to define CPSP, produced rates of 37.5%, 9.7% and 5.7%. Pre-existing chronic pain, pre-operative opioid medication and type of surgery were associated with the PRO-12 score (all p<0.05). Opioid doses and PROs 24 hours postoperatively improved the fit of the regression model. A more comprehensive assessment of pain and interference resulted in lower CPSP rates than previously reported. Although inclusion of CPSP in the ICD-11 is a welcome step, evaluation of pain characteristics would be helpful in differentiation between CPSPF and continuation of pre-existing chronic pain.
Date of Publication
2022-12-01
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Hofer, Debora M
Lehmann, Thomas
Zaslansky, Ruth
Harnik, Michaelorcid-logo
Universitätsklinik für Anästhesiologie und Schmerztherapie
Meissner, Winfried
Stüber, Frank
Universitätsklinik für Anästhesiologie und Schmerztherapie
Department for BioMedical Research, Forschungsgruppe Anästhesiologie
Stamer, Ulrike
Universitätsklinik für Anästhesiologie und Schmerztherapie
Department for BioMedical Research, Forschungsgruppe Anästhesiologie
Additional Credits
Universitätsklinik für Anästhesiologie und Schmerztherapie
Series
Pain
Publisher
Elsevier
ISSN
0304-3959
Access(Rights)
open.access
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