We have located links that may give you full text access.
Phenotyping the shoulder patient based on ultrasound-detected pathologies: a cross-sectional study in general practice.
Family Practice 2021 June 18
BACKGROUND: Shoulder complaints arise from a single pathology or a combination of different underlying pathologies that are hard to differentiate in general practice. Subgroups of pathologies have been identified on the basis of ultrasound imaging that might affect treatment outcomes.
OBJECTIVE: Our aim was to validate the existence of different subgroups of patients with shoulder complaints, based on ultrasound-detected pathology, and compare clinical features among them. Profiling shoulder patients into distinct shoulder pathology phenotypes could help designing tailored treatment trials.
METHODS: This was a cross-sectional study in general practice. Data were extracted from 840 first visit patient records at a single diagnostic centre in the Netherlands. Exclusion criteria were age <18 years and previous shoulder surgery. Latent class analysis was used to uncover cross-combinations of ultrasound detected pathologies, yielding subgroups of shoulder patients. The uncovered subgroups were compared for demographic and clinical characteristics.
RESULTS: We uncovered four distinct subgroups of patients with shoulder complaints: (i) Frozen shoulder group (11%), (ii) Limited pathology group (44%), (iii) Degenerative pathology group (31%) and (iv) Calcifying tendinopathy group (15%). Group comparisons showed significant differences in demographic and clinical characteristics among subgroups, consistent with the literature.
CONCLUSION: In a general practice population, we uncovered four different phenotypes of shoulder patients on the basis of ultrasound detected pathology. These phenotypes can be used designing tailored treatment trials in patients with shoulder complaints.
OBJECTIVE: Our aim was to validate the existence of different subgroups of patients with shoulder complaints, based on ultrasound-detected pathology, and compare clinical features among them. Profiling shoulder patients into distinct shoulder pathology phenotypes could help designing tailored treatment trials.
METHODS: This was a cross-sectional study in general practice. Data were extracted from 840 first visit patient records at a single diagnostic centre in the Netherlands. Exclusion criteria were age <18 years and previous shoulder surgery. Latent class analysis was used to uncover cross-combinations of ultrasound detected pathologies, yielding subgroups of shoulder patients. The uncovered subgroups were compared for demographic and clinical characteristics.
RESULTS: We uncovered four distinct subgroups of patients with shoulder complaints: (i) Frozen shoulder group (11%), (ii) Limited pathology group (44%), (iii) Degenerative pathology group (31%) and (iv) Calcifying tendinopathy group (15%). Group comparisons showed significant differences in demographic and clinical characteristics among subgroups, consistent with the literature.
CONCLUSION: In a general practice population, we uncovered four different phenotypes of shoulder patients on the basis of ultrasound detected pathology. These phenotypes can be used designing tailored treatment trials in patients with shoulder complaints.
Full text links
Related Resources
Trending Papers
Heart failure with preserved ejection fraction: diagnosis, risk assessment, and treatment.Clinical Research in Cardiology : Official Journal of the German Cardiac Society 2024 April 12
Proximal versus distal diuretics in congestive heart failure.Nephrology, Dialysis, Transplantation 2024 Februrary 30
Efficacy and safety of pharmacotherapy in chronic insomnia: A review of clinical guidelines and case reports.Mental Health Clinician 2023 October
World Health Organization and International Consensus Classification of eosinophilic disorders: 2024 update on diagnosis, risk stratification, and management.American Journal of Hematology 2024 March 30
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app