Quadriceps Strength Recovery Trajectories Associate with Pre-Operative Predictors but not Clinical Outcomes Following ACL Reconstruction

PURPOSE: Quadriceps weakness following anterior cruciate ligament reconstruction (ACLR) is common, however distinct longitudinal strength trajectories not have been examined. This study aimed to i) identify strength trajectories measured pre-operatively to 12 months post-ACLR, and determine associations with ii) pre-operative demographics, patient-reported outcomes (PROs: Knee Injury and Osteoarthritis Outcome Score [KOOS], Tegner, Marx) and ACLR concomitant surgeries, and iii) clinical outcomes post-ACLR including cartilage compositional changes (via magnetic resonance imaging [MRI] T1ρ relaxation times) and 12-month KOOS. METHODS: Isometric quadriceps strength was measured bilaterally pre-operatively and at 4, 6, and 12 months. Group trajectory modeling characterized longitudinal strength recovery in ACLR and uninvolved limbs, which were combined to define dual-limb recovery patterns. Tibiofemoral and patellofemoral cartilage composition was measured pre-operatively and at 12 months post-ACLR. Dirichlet regressions examined associations between trajectories and demographics, surgeries, PROs, and cartilage changes. RESULTS: 59 participants were included (58% female; age, 21.9 ± 4.7y; BMI, 24.55 ± 3.7kg/m 2). Three combined trajectories were identified: bilaterally weak (51%), which demonstrated uninvolved limb strength declines and failure to recover ACLR limb pre-operative strength; bilaterally strong (38%), which demonstrated minimal uninvolved limb declines and ACLR limb pre-operative strength recovery; and weak uninvolved, strong ACLR limb (12%). Lower pre-injury Tegner scores associated with bilaterally weak membership (p = 0.01), where probability increased from 0.27 (score of 10) to 0.61 (score of 0). Medial meniscectomy associated most with bilaterally weak membership (p<.001, 0.86 probability). No associations were found between trajectories and clinical outcomes. CONCLUSIONS: While individuals who failed to restore ACLR limb strength demonstrated bilateral quadriceps weakness pre-operatively, persons who demonstrated greater pre-operative bilateral strength recovered ACLR limb strength. Medial meniscectomy associated with an inability to restore quadriceps strength.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2026-10-13
DOI
https://doi.org/10.1249/mss.0000000000004187
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quadriceps Strength Recovery Trajectories Associate with Pre-Operative Predictors but not Clinical Outcomes Following ACL Reconstruction

Robert Alexander Creighton, Madison Franek, Natália Favoreto, Christopher D. Ingersoll et al.
Medicine & Science in Sports & Exercise
Knee injuries and reconstruction techniques
article

Quadriceps Strength Recovery Trajectories Associate with Pre-Operative Predictors but not Clinical Outcomes Following ACL Reconstruction

Robert Alexander Creighton, Madison Franek, Natália Favoreto, Christopher D. Ingersoll, Jeffrey T. Spang, Richard Lartey, Christin Büttner, Brian Pietrosimone, G. Kamath, Ahmet Hakan Ok, Hyunwook Lee, Joe M. Hart, Xiaojuan Li, Xinxin Wang, Liubov Arbeeva, J. Troy Blackburn, Mingrui Yang, Caroline Lisee
article en

Abstract

PURPOSE: Quadriceps weakness following anterior cruciate ligament reconstruction (ACLR) is common, however distinct longitudinal strength trajectories not have been examined. This study aimed to i) identify strength trajectories measured pre-operatively to 12 months post-ACLR, and determine associations with ii) pre-operative demographics, patient-reported outcomes (PROs: Knee Injury and Osteoarthritis Outcome Score [KOOS], Tegner, Marx) and ACLR concomitant surgeries, and iii) clinical outcomes post-ACLR including cartilage compositional changes (via magnetic resonance imaging [MRI] T1ρ relaxation times) and 12-month KOOS. METHODS: Isometric quadriceps strength was measured bilaterally pre-operatively and at 4, 6, and 12 months. Group trajectory modeling characterized longitudinal strength recovery in ACLR and uninvolved limbs, which were combined to define dual-limb recovery patterns. Tibiofemoral and patellofemoral cartilage composition was measured pre-operatively and at 12 months post-ACLR. Dirichlet regressions examined associations between trajectories and demographics, surgeries, PROs, and cartilage changes. RESULTS: 59 participants were included (58% female; age, 21.9 ± 4.7y; BMI, 24.55 ± 3.7kg/m 2). Three combined trajectories were identified: bilaterally weak (51%), which demonstrated uninvolved limb strength declines and failure to recover ACLR limb pre-operative strength; bilaterally strong (38%), which demonstrated minimal uninvolved limb declines and ACLR limb pre-operative strength recovery; and weak uninvolved, strong ACLR limb (12%). Lower pre-injury Tegner scores associated with bilaterally weak membership (p = 0.01), where probability increased from 0.27 (score of 10) to 0.61 (score of 0). Medial meniscectomy associated most with bilaterally weak membership (p<.001, 0.86 probability). No associations were found between trajectories and clinical outcomes. CONCLUSIONS: While individuals who failed to restore ACLR limb strength demonstrated bilateral quadriceps weakness pre-operatively, persons who demonstrated greater pre-operative bilateral strength recovered ACLR limb strength. Medial meniscectomy associated with an inability to restore quadriceps strength.

Medicine & Science in Sports & Exercise
Kookmin University (KR), University of North Carolina at Chapel Hill (US), University of Georgia (US), Chemnitz University of Technology (DE), Cleveland Clinic Lerner College of Medicine (US), Wake Forest University (US)
Openalex Percentile: Top 10%
Knee injuries and reconstruction techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.