4.3 Article

Factors predicting quadriceps femoris muscle atrophy during the first 12 weeks following anterior cruciate ligament reconstruction

期刊

KNEE
卷 24, 期 2, 页码 319-328

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.knee.2016.11.003

关键词

Quadriceps muscle atrophy; Muscle endurance; Semitendinosus-gracilis autograft; Joint swelling; Knee extension ROM; Volitional muscle activation

资金

  1. Slovenian Research Agency [L3-5509]
  2. UKC-LJ Institutional [20140161]
  3. European Social Fund Operative fund for development of human sources [112]

向作者/读者索取更多资源

Background: Factors predicting quadriceps femoris muscle (QF) atrophy during the early period after arthroscopic ACL reconstruction have not been extensively studied. It is also yet to be confirmed whether muscle atrophy is a key determinant of postoperative QF weakness. Methods: Mean changes in QF volume, MVIC torque and isometric endurance time were analysed in 25 patients prior to and at four and 12 weeks after surgery. A multivariable regression model of change in QF volume was made from combination of several parameters of preoperative QF size and strength and postoperative joint recovery. The impact of QF atrophy on muscle weakness was evaluated with univariate regression and MVIC torque to volume ratio at postoperative week only. Results: The model of QF volume change was significant (P < 0.01) only at postoperative week 4, explaining 57% of its variation, where isometric endurance time had a negative and knee extension ROM deficit a positive weight. Change in QF volume explained (P < 0.05) 46% of the MVIC torque variation at postoperative week 12. A significant change (P < 0.05) in QF MVIC torque to volume ratio was observed at postoperative week 12. Conclusions: Good prediction of QF atrophy in the first postoperative month can be made from studied variables, with isometric endurance and knee extension ROM deficit being the most significant contributors. The atrophy explained a large part of QF muscle weakness, whereas factors contributing to the remaining portion need further research. (C) 2016 Elsevier B.V. All rights reserved.

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