| Literature DB >> 34148120 |
R Elwood1,2, O El-Hakeem1,2, Y Singh1,2, H Shoman3, O Weiss3, V Khanduja4,5.
Abstract
BACKGROUND: The tremendous physical demands of elite performance increase the risk of elite athletes sustaining various orthopaedic injuries. Hip pain is common in high-level athletes representing up to 6% of all athletic injuries. Expedient diagnosis and effective treatment are paramount for their future sporting careers and to prevent subsequent joint degeneration.Entities:
Keywords: Athletes; Elite; Hip arthroscopy; Outcomes; Professional sports; Return to play
Mesh:
Year: 2021 PMID: 34148120 PMCID: PMC8514359 DOI: 10.1007/s00264-021-05077-3
Source DB: PubMed Journal: Int Orthop ISSN: 0341-2695 Impact factor: 3.075
Quality assurance of included studies
| Author | Year | MINORS score (risk of bias) | ROBINS-I score |
|---|---|---|---|
| Jack et al. [ | 2020 | High risk | Moderate |
| Jack et al. [ | 2019 | High risk | Moderate |
| Sochacki et al. [ | 2019 | High risk | Moderate |
| Sochacki et al. [ | 2019 | High risk | Moderate |
| Lubbe et al. [ | 2018 | High risk | Moderate |
| Barastegui et al. [ | 2018 | High risk | Serious |
| Begly et al. [ | 2018 | High risk | Moderate |
| Frangiamore et al. [ | 2018 | High risk | Moderate |
| Locks et al. [ | 2018 | High risk | Moderate |
| Nwachukwu et al. [ | 2018 | High risk | Moderate |
| Schallmo et al. [ | 2018 | Low risk | Low |
| Menge et al. [ | 2017 | High risk | Moderate |
| Menge et al. [ | 2016 | High risk | Moderate |
| Newman et al. [ | 2016 | High risk | Moderate |
| Amenabar et al. [ | 2013 | High risk | Moderate |
| Boykin et al. [ | 2013 | High risk | Moderate |
| McDonald et al. [ | 2013 | Low risk | Low |
| Hammoud et al. [ | 2012 | High risk | Serious |
| Philippon et al. [ | 2010 | High risk | Low |
| Philippon et al. [ | 2009 | High risk | Low |
| Philippon et al. [ | 2007 | High risk | Moderate |
| Saw et al. [ | 2004 | High risk | Low |
Fig. 1PRISMA flowchart
Included studies examining outcomes of hip arthroscopy in elite athletes
| Enrolment | |||||||
|---|---|---|---|---|---|---|---|
| Author | Year | Location | Patients (% of total cohort) | Hips (% of total cohort) | Male (%) | Mean age (y) | Sports type |
| Jack et al. [ | 2020 | USA | 23 (2.3%) | 24 (2.1%) | 100% | 27.5 | Basketball |
| Jack et al. [ | 2019 | USA | 50 (5.0%) | 57 (5.0%) | 100% | 30.4 | Baseball |
| Sochacki et al. [ | 2019 | USA | 71 (7.1%) | 77 (6.7%) | 100% | 29.4 | Ice hockey |
| Sochacki et al. [ | 2019 | USA | 55 (5.5%) | 63 (5.5%) | 100% | 27.5 | American football |
| Lubbe et al. [ | 2018 | USA | 64 (6.4%) | 64 (5.6%) | 100% | 30.3 | Ice hockey |
| Barastegui et al. [ | 2018 | Spain | 21 (2.1%) | 21 (1.8%) | 100% | 26.5 | Soccer |
| Begly et al. [ | 2018 | USA | 18 (1.8%) | 24 (2.1%) | 77.7% | 25.6 | Basketball |
| Frangiamore et al. [ | 2018 | USA | 44 (4.4%) | 51 (4.5%) | 100% | 26.6 | Baseball |
| Locks et al. [ | 2018 | USA | 24 (2.4%) | 26 (2.3%) | 100% | 25 | Soccer |
| Nwachukwu et al. [ | 2018 | USA | 40 (4.0%) | 48 (4.2%) | 100% | 25.6 | American football |
| Schallmo et al. [ | 2018 | USA | 180 (17.9%) | 227 (19.8%) | 100% | 28.9 | Mixed |
| Menge et al. [ | 2017 | USA | 51 (5.1%) | 60 (5.2%) | 100% | 27 | American football |
| Menge et al. [ | 2016 | USA | 60 (6.0%) | 69 (6.0%) | 100% | 27 | Ice hockey |
| Newman et al. [ | 2016 | USA | 20 (2.0%) | 27 (2.4%) | 100% | 38 | Golf |
| Amenabar et al. [ | 2013 | Australia | 26 (2.6%) | 34 (3.0%) | 100% | 21.8 | Australian Rules football |
| Boykin, et al. [ | 2013 | USA | 21 (2.1%) | 23 (2.0%) | 100% | 28 | Mixed |
| McDonald et al. [ | 2013 | USA | 120 (12.0%) | 133 (11.6%) | 100% | 29.1 | Mixed |
| Hammoud et al. [ | 2012 | USA | 38 (3.8%) | 38 (3.3%) | 100% | 31 | Mixed |
| Philippon et al. [ | 2010 | USA | 28 (2.8%) | 28 (2.4%) | 100% | 27 | Ice hockey |
| Philippon et al. [ | 2009 | USA | 1 (0.1%) | 1 (0.09%) | 100% | 25 | American football |
| Philippon et al. [ | 2007 | USA | 45 (4.5%) | 45 (3.9%) | 93.3% | 31 | Mixed |
| Saw et al. [ | 2004 | UK | 6 (0.6%) | 6 (0.5%) | 100% | – | Soccer |
Types of sports played by the study participants
| Sport | Number of participants (%) | Number of studies (%) |
|---|---|---|
| Ice hockey | 368 (36.6%) | 9 (40.9%) |
| American football | 248 (24.7%) | 9 (40.9%) |
| Baseball | 172 (17.1%) | 7 (31.8%) |
| Soccer | 72 (7.2%) | 7 (31.8%) |
| Basketball | 68 (6.8%) | 5 (22.7%) |
| Golf | 39 (3.9%) | 3 (13.6%) |
| Australian rules football | 26 (2.6%) | 1 (4.5%) |
| Tennis | 5 (0.5%) | 2 (9.1%) |
| Skiing | 2 (0.2%) | 1 (4.5%) |
| Ice skating | 2 (0.2%) | 2 (9.1%) |
| Dance | 2 (0.2%) | 2 (9.1%) |
| Martial arts | 1 (0.1%) | 1 (4.5%) |
| Jockey | 1 (0.1%) | 1 (4.5%) |
Patient-reported outcome measures of the included studies
| Pre-Op | Post-Op | % improvement | |
|---|---|---|---|
| mHHS | 74.206 | 92.34717 | 24.4% |
| NAHS | 85.3 | 97.1 | 13.8% |
| HOS-SPORT | 47.2 | 81.62 | 72.9% |
| ADL HOS | 72.56 | 90.584 | 24.8% |
| SF-12 (physical) | 44 | 51 | 15.9% |
| SF-12 (mental) | 49 | 54 | 10.2% |
| VAS | 7.4 | 2.3 | − 68.9% |
Fig. 2Patient-reported outcome measures of the included studies
Fig. 3Individual study proportions and pooled estimate rates of return to sport
Career lengths and return to play of athletes
| Author | Year | Patients (n) | Mean follow-up time (months) | RTP (% of players) | RTP time (months) | % retired at the end of last follow-up | % patients that required further intervention | Av. career length after hip arthroscopy at end of follow-up |
|---|---|---|---|---|---|---|---|---|
| Jack et al | 2020 | 23 | – | 86.9* | 5.7 | – | – | 4.4 seasons |
| Jack et al | 2019 | 50 | – | 82.5* | 8.3 | 4.0 | – | 3.3 years |
| Sochacki et al | 2019 | 71 | – | 90.9* | 6.8 | 15.6 | – | 3.3 years |
| Sochacki et al | 2019 | 55 | – | 84.1* | 6.7 | 20.6 | 5.4 | 3.5 years |
| Barastegui et al. [ | 2018 | 21 | 45.4 | 100* | 10.8 | 47.6 | – | 2.1 seasons |
| Begly et al. [ | 2018 | 18 | – | 100* | 7.1 | – | – | 4 seasons |
| Frangiamore et al. [ | 2018 | 44 | – | 95.5* | – | – | – | 3.6 seasons |
| Locks et al. [ | 2018 | 24 | – | 96* | 9.2 | 66.7 | 4.2 | 4.3 years |
| Lubbe et al | 2018 | 64 | – | 92.6* | – | 7.4 | – | 3.1 seasons |
| Nwachukwu et al. [ | 2018 | 40 | – | 92.5* | 6 | – | – | 3.1 seasons |
| Schallmo et al. [ | 2018 | 180 | – | 84.6^* | 6.9 | – | – | 2.7 years |
| Menge et al. [ | 2017 | 51 | – | 86.3 | – | – | 8.3 | 3.2 seasons |
| Menge et al. [ | 2016 | 60 | – | 100* | – | 33.3 | – | 5.9 years |
| Newman et al. [ | 2016 | 20 | – | 100 | 4.7 | – | 10 | 5.72 years |
| Amenabar et al. [ | 2013 | 26 | 49.3 | 96 | – | 38 | 19.2 | 4.38 years |
| Boykin, et al. [ | 2013 | 21 | 41.4 | 85.7 | – | – | 19 | 3.6 seasons |
| McDonald et al. [ | 2013 | 120 | – | 90.8 | – | – | – | 2.9 seasons |
| Hammoud et al. [ | 2012 | 38 | – | 94.7 | 5.9 | – | – | – |
| Philippon et al. [ | 2010 | 28 | 24 | 100 | 3.8 | – | 7.1 | – |
| Philippon et al. [ | 2009 | 1 | - | 100 | 3.7 | – | – | – |
| Philippon et al. [ | 2007 | 45 | 19.2 | 93.3* | – | 22.2 | 11.1 | – |
| Saw et al. [ | 2004 | 6 | – | 83.3 | 2.7 | – | 16.7 | – |
*These papers specified their RTP time as the time until the same level of competition as pre-surgery.
^This is the % of hips that returned to play since the paper did not report the % RTP of athletes.