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dc.date.accessioned2021-03-24T21:13:21Z
dc.date.available2021-03-24T21:13:21Z
dc.date.created2020-04-28T16:13:19Z
dc.date.issued2020
dc.identifier.citationMeisingset, Ingebrigt Vasseljen, Ottar Vøllestad, Nina Køpke Robinson, Hilde Stendal Woodhouse, Astrid Engebretsen, Kaia Beck Glette, Mari Øverås, Cecilie Krage Nordstoga, Anne Lovise Evensen, Kari Anne Indredavik Skarpsno, Eivind S. . Novel approach towards musculoskeletal phenotypes. European Journal of Pain. 2020
dc.identifier.urihttp://hdl.handle.net/10852/84739
dc.description.abstractBackground The multidimensional array of clinical features and prognostic factors makes it difficult to optimize management within the heterogeneity of patients with common musculoskeletal pain. This study aimed to identify phenotypes across prognostic factors and musculoskeletal complaints. Concurrent and external validity were assessed against an established instrument and a new sample, respectively, and treatment outcome was described. Methods We conducted a longitudinal observational study of 435 patients (aged 18–67 years) seeking treatment for nonspecific complaints in the neck, shoulder, low back or multisite/complex pain in primary health care physiotherapy in Norway. Latent class analysis was used to identify phenotypes based on 11 common prognostic factors within four biopsychosocial domains; pain, beliefs and thoughts, psychological and activity and lifestyle. Results Five distinct phenotypes were identified. Phenotype 1 (n = 77, 17.7%) and 2 (n = 142, 32.6%) were characterized by the lowest scores across all biopsychosocial domains. Phenotype 2 showed somewhat higher levels of symptoms across the biopsychosocial domains. Phenotype 3 (n = 89, 20.5%) and 4 (n = 78, 17.9%) were more affected across all domains, but phenotype 3 and 4 had opposite patterns in the psychological and pain domains. Phenotype 5 (n = 49, 11.3%) were characterized by worse symptoms across all domains, indicating a complex phenotype. The identified phenotypes had good external and concurrent validity, also differentiating for the phenotypes in function and health‐related quality of life outcome at 3‐month follow‐up. Conclusion The phenotypes may inform the development of targeted interventions aimed at improving the treatment efficiency in patients with common musculoskeletal disorders. Significance This observational prospective study identified five distinct and clinically meaningful phenotypes based on biopsychosocial prognostic factors across common musculoskeletal pain. These phenotypes were independent of primary pain location, showed good external validity, and clear variation in treatment outcome. The findings are particularly valuable as they describe the heterogeneity of patients with musculoskeletal pain and points to a need for more targeted interventions in common musculoskeletal disorders to improve treatment outcome.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleNovel approach towards musculoskeletal phenotypes
dc.typeJournal article
dc.creator.authorMeisingset, Ingebrigt
dc.creator.authorVasseljen, Ottar
dc.creator.authorVøllestad, Nina Køpke
dc.creator.authorRobinson, Hilde Stendal
dc.creator.authorWoodhouse, Astrid
dc.creator.authorEngebretsen, Kaia Beck
dc.creator.authorGlette, Mari
dc.creator.authorØverås, Cecilie Krage
dc.creator.authorNordstoga, Anne Lovise
dc.creator.authorEvensen, Kari Anne Indredavik
dc.creator.authorSkarpsno, Eivind S.
cristin.unitcode185,52,10,0
cristin.unitnameAvdeling for tverrfaglig helsevitenskap
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1808509
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European Journal of Pain&rft.volume=&rft.spage=&rft.date=2020
dc.identifier.jtitleEuropean Journal of Pain
dc.identifier.volume24
dc.identifier.issue5
dc.identifier.startpage921
dc.identifier.endpage932
dc.identifier.doihttps://doi.org/10.1002/ejp.1541
dc.identifier.urnURN:NBN:no-87471
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1090-3801
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/84739/1/Meisingset_2020_MusculoskeletalPhenotypes_LCA.pdf
dc.type.versionPublishedVersion


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