6533b7d9fe1ef96bd126c2ca

RESEARCH PRODUCT

The Valencia consensus-based adaptation of the IASP complex regional pain syndrome diagnostic criteria

Astrid Juhl TerkelsenFlorian BrunnerFrank HuygenCandy MccabeAndreas GoebelFrank BirkleinLorimer MoseleySteven BruehlChristian MaihoefnerJenny LewisNorman HardenIlona ThomassenWalter MagerlJeanne GierthmuehlenLone KnudsenDavid A. Clark

subject

medicine.medical_specialtyConsensusMEDLINEComplex Regional Pain Syndromes/diagnosis610 Medicine & healthWorld Health OrganizationDiagnosis DifferentialPhysical medicine and rehabilitationInternational Classification of DiseasesMedicineHumansIASP diagnostic criteriaAdaptation (computer science)complex regional pain syndrome (CRPS)business.industrymedicine.diseaseAnesthesiology and Pain MedicineComplex regional pain syndrome2728 Neurology (clinical)Neurology2808 NeurologyPerspective10046 Balgrist University Hospital Swiss Spinal Cord Injury CenterNeurology (clinical)2703 Anesthesiology and Pain MedicineChronic PainbusinessComplex Regional Pain Syndromes

description

Refereed/Peer-reviewed The new IASP diagnostic criteria for complex regional pain syndrome (CRPS) (aka “the Budapest Criteria”3; Table 1) have improved the diagnostic specificity for CRPS while maintaining good sensitivity. Internationally, these criteria are now in common use. The IASP CRPS Special Interest Group convened a workshop of CRPS experts in Valencia/Spain in September 2019 to review perceived ambiguities in the diagnostic text and issues identified in applying these criteria in both the research and clinical contexts. After this review, workshop attendees discussed and reached a consensus regarding adaptations to the diagnostic taxonomy text. This process resulted in pragmatic updates to CRPS assessment instructions and the associated text in the IASP taxonomy. The wording of the diagnostic criteria themselves was not altered so as to avoid invalidating the criteria.

10.1097/j.pain.0000000000002245https://pure.au.dk/ws/files/273855659/The_Valencia_consensus_based_adaptation_of_the.5.pdf