Establishing Clinically Distinct Patient Treatment Subgroups Following Anterior Cruciate Ligament Reconstruction: A Machine Learning Clustering Analysis
Two clinically meaningful subgroups were identified from retrospectively collected data and found to experience differential treatment responses after ACL injuries. ACLR decreased the rate of development of PTOA and TKA in both subgroups but was not as effective in preventing secondary meniscal injuries or contralateral ACL injuries in patients who were older, heavier, or had concomitant medial meniscus injuries.
Authors
- Adam J. Tagliero (ORCID: https://orcid.org/0000-0001-9205-3924)
- Aaron John Krych (ORCID: https://orcid.org/0000-0003-3248-8007)
- Yining Lu (ORCID: https://orcid.org/0000-0002-3967-645X)
- Sophia Mavrommatis (ORCID: https://orcid.org/0000-0003-3027-3475)
- Daniël B.F. Saris (ORCID: https://orcid.org/0000-0002-2176-3029)
- Christopher L. Camp (ORCID: https://orcid.org/0000-0003-3058-7327)
- Kelechi R. Okoroha (ORCID: https://orcid.org/0000-0002-2780-3159)
- Louis S. Kang (ORCID: https://orcid.org/0009-0008-9201-734X)
- Mario Hevesi (ORCID: https://orcid.org/0000-0001-6208-878X)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- The American Journal of Sports Medicine
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1177/03635465251360240
- Primary Topic
- Knee injuries and reconstruction techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00