Cluster Analysis of a Database of Surgically Managed Adult Spine Deformity (ASD) Patients
Different clustering algorithms applied to the same database allowed for the obtaining of similar clusters of ASD patients. However, the obtained MCIDs for the evaluated HRQoL parameters were different, highlighting the relevance of the choice of variables for the investigation of these parameters. The results suggest that clinically driven clusters should be used when investigating clinical outcomes, as they allow for a smaller error rate.
Authors
- Daniel Larrieu (ORCID: https://orcid.org/0000-0002-9123-1466)
- Alice Baroncini (ORCID: https://orcid.org/0000-0002-4383-3470)
- Ferrán Pellisé (ORCID: https://orcid.org/0000-0002-0644-7757)
- Ahmet Alanay (ORCID: https://orcid.org/0000-0003-2252-6647)
- Cécile Roscop (ORCID: https://orcid.org/0000-0001-9248-3502)
- Javier Pizones (ORCID: https://orcid.org/0000-0001-7394-9637)
- Louis Boissière (ORCID: https://orcid.org/0000-0002-8146-5891)
- Ibrahim Obeid (ORCID: https://orcid.org/0000-0002-5602-0508)
- Anouar Bourghli (ORCID: https://orcid.org/0000-0002-2852-0230)
- Yann Philippe Charles (ORCID: https://orcid.org/0000-0002-0606-211X)
- Frank Kleinstueck
Institutions
- Humanitas University (IT)
- Hospital Universitario La Paz (ES)
- King Faisal Specialist Hospital & Research Centre (SA)
- Acıbadem University (TR)
- Schulthess-Klinik (CH)
- Hôpital Pellegrin (FR)
- Vall d'Hebron Hospital Universitari (ES)
- Istanbul University (TR)
- Université de Strasbourg (FR)
Publication Details
- Journal
- Spine
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1097/brs.0000000000005453
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00