Editorial Commentary: Recovery After Anterior Cruciate Ligament Reconstruction Is Optimal About 85% of the Time.
| Autor: | Stegner MA; Stanford University., Gilmer BB; Mammoth Orthopedic Institute. |
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| Jazyk: | angličtina |
| Zdroj: | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association [Arthroscopy] 2022 Aug; Vol. 38 (8), pp. 2491-2492. |
| DOI: | 10.1016/j.arthro.2022.05.001 |
| Abstrakt: | Recovery after anterior cruciate ligament reconstruction is optimal about 85% of the time. Revision surgery, psychiatric history, preoperative chronic knee pain, and subsequent knee injury are associated with suboptimal recovery patterns. Sophisticated growth models can analyze patient recovery trajectories. Growth mixture models (GMM) treat a whole cohort as a single group and characterize that group over time, for example, over the course of knee injury and subsequent recovery after surgical reconstruction. Latent class growth analysis is a subcategory of GMM that sorts the cohort into subgroups and allows analysis regarding groups having, for example, standard, delayed, and suboptimal recoveries. This theoretically allows a physician to anticipate which patients are likely to follow a suboptimal trajectory of recovery, to track that recovery based on the model, and to form a treatment plan accordingly. (Copyright © 2022 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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