| Literature DB >> 34223404 |
Eric Laboute1, Raoul Hoffmann1, Alexia Bealu1, Olivier Ucay1, Emmanuel Verhaeghe1.
Abstract
BACKGROUND: Surgeons differ in their preferences concerning the best surgical technique for treating shoulder instability in sportspeople. The purpose was to evaluate the risk of recurrence and the likelihood of return to sport for the 2 principal shoulder stabilization techniques used to treat shoulder instability in sportspeople.Entities:
Keywords: Bankart; Factors; Latarjet; Progression; Recurrence; Shoulder; Sport
Year: 2021 PMID: 34223404 PMCID: PMC8245985 DOI: 10.1016/j.jseint.2021.04.007
Source DB: PubMed Journal: JSES Int ISSN: 2666-6383
Classification of dislocation risk level, by sport, according to Huget.
| Grade | Risk level | Classification | Sports |
|---|---|---|---|
| 1 | No risk | No risk | Rowing, archery |
| 2 | Risk of falls, collisions, without arm rotation | Contact/impact | Football, motorcycle racing, BMX racing, skiing, rugby, snowboarding, surfing, bodyboarding |
| 3 | Sport involves arm rotation with no risk of falls or impact | Sport involves arm rotation | Climbing, canoeing, swimming, pelote, tennis |
| 4 | Sport involves arm rotation + risk of falls or impact | Boxing, windsurfing, basketball, handball, ice hockey, judo, American football |
Figure 1Flowchart summarizing the study design.
Characteristics (sex, age, sport, sporting level, surgery) for the total population analyzed (80 sportspeople undergoing Latarjet interventions, and 39 undergoing Bankart interventions = 119), and for the population of patients presenting recurrences (9).
| Variable | Total | Patients with recurrences | Latarjet | Bankart | |
|---|---|---|---|---|---|
| Number | |||||
| | 119 | 9 | 80 | 39 | |
| Sex | |||||
| M | 108 (90.8%) | 9 (100.0%) | 73 (91.3%) | 35 (89.7%) | .7487 |
| F | 11 (9.2%) | 7 (8.8%) | 4 (10.3%) | ||
| Age at time of surgery (years) | |||||
| Mean (standard deviation) | 23.3 (3.8) | 21.0 (3.9) | 22.9 (3.6) | 24.3 (4.0) | .0488 |
| Min; Max | 18; 35 | 18; 29 | 18; 35 | 18; 33 | |
| Age as a categorical variable (years) | |||||
| > 20 | 89 (74.8%) | 3 (33.3%) | 56 (70.0%) | 33 (84.6%) | |
| ≤ 20 | 30 (25.2%) | 6 (66.7%) | 24 (30.0%) | 6 (15.4%) | |
| Time from surgery to completion of the questionnaire (months) | |||||
| Mean (standard deviation) | 26.7 (9.8) | 24.3 (7.2) | 25.8 (9.6) | 28.4 (10.0) | .37 |
| Min; Max | 12; 56 | 16; 36 | 12; 56 | 14; 48 | |
| Time between the first luxation and surgery (months) | |||||
| Mean (standard deviation) | 13.8 (12.9 ) | 13.8 (13.3) | 13.7(12) | .78 | |
| Min; Max | 0.2; 57.7 | 0.2; 57.7 | 0.4; 52 | ||
| Sporting level | |||||
| | 118 (1) | 9 | 79 (1) | 39 | |
| National | 57 (48.3%) | 5 (55.6%) | 48 (60.8%) | 9 (23.1%) | .0007 |
| Regional | 45 (38.1%) | 4 (44.4%) | 22 (27.8%) | 23 (59.0%) | |
| Recreational sportsperson | 11 (9.3%) | 6 (7.6%) | 5 (12.8%) | ||
| International | 5 (4.2%) | 3 (3.8%) | 2 (5.1%) | ||
| Sport | |||||
| | 118 (1) | 9 | |||
| Rowing | 1 (0.8%) | 1 (1.3%) | |||
| Basketball | 1 (0.8%) | 1 (1.3%) | |||
| Bmx Racing | 1 (0.8%) | 1 (1.3%) | |||
| Bodyboarding | 1 (0.8%) | 1 (1.3%) | |||
| Boxing | 1 (0.8%) | 1 (2.6%) | |||
| Canöening | 5 (4.2%) | 1 (11.1%) | 5 (6.3%) | ||
| Climbing | 3 (2.5%) | 1 (1.3%) | 2 (5.3%) | ||
| Soccer | 9 (7.5%) | 5 (6.3%) | 4 (10.5%) | ||
| Football (American) | 2 (1.7%) | 2 (2.5%) | |||
| Handball | 3 (2.5%) | 3 (3.8%) | 3 (7.9%) | ||
| Ice Hockey | 2 (1.7%) | 2 (2.5%) | |||
| Judo | 4 (3.4%) | 4 (5.0%) | |||
| Motorcycle racing | 1 (0.8%) | 1 (2.6%) | |||
| Swimming | 1 (0.8%) | 1 (1.3%) | |||
| Pelote | 2 (1.7%) | 2 (2.5%) | |||
| Rugby league | 1 (0.8%) | 1 (1.3%) | |||
| Rugby union | 67 (56.8%) | 8 (88.9%) | 44 (55.0%) | 23 (60.5%) | |
| Skiing | 2 (1.7%) | 2 (2.5%) | 2 (5.3%) | ||
| Snowboarding | 1 (0.8%) | 1 (1.3%) | |||
| Surfing | 1 (0.8%) | 1 (1.3%) | |||
| Tennis | 2 (1.7%) | 2 (2.5%) | |||
| Archery | 1 (0.8%) | 1 (2.6%) | |||
| Sailing | 1 (0.8%) | 1 (2.6%) | |||
| Type of sport | |||||
| | 118 (1) | 9 | 80 | 38 (1) | |
| With contact | 87 (73.7%) | 8 (88.9%) | 57 (71.3%) | 30 (78.9%) | .4267 |
| Pivot | 29 (24.6%) | 1 (11.1%) | 22 (27.5%) | 7 (18.4%) | |
| Without risk | 2 (1.7%) | 1 (1.3%) | 1 (2.6%) | . |
p = P value for a Fisher’s exact test for qualitative variables.
p = P value of a Student’s t test for quantitative variables.
Frequencies of recurrence, return to training, and return to competition.
| Variable | Total | Latarjet | Bankart |
|---|---|---|---|
| Recurrence | |||
| | 119 | 80 | 39 |
| No | 110 (92.4%) | 78 (97.5%) | 32 (82.1%) |
| Yes | 9 (7.6%) | 2 (2.5%) | 7 (17.9%) |
| Return to training | |||
| | 108 | 74 | 34 |
| No | 6 (5.6%) | 2 (2.7%) | 4 (11.8%) |
| Yes | 102 (94.4%) | 72 (97.3%) | 30 (88.2%) |
| Return to competition | |||
| | 106 | 72 | 34 |
| No | 8 (7.5%) | 3 (4.2%) | 5 (14.7%) |
| Yes | 98 (92.5%) | 69 (95.8%) | 29 (85.3%) |
The two patients practicing sports considered to be without risk were not considered in this analysis. We also excluded sportspeople not participating in competition from this analysis.
Description of time to recurrence and time to return to sport.
| Variable | Both types of surgery | Latarjet | Bankart |
|---|---|---|---|
| Time to recurrence (month) | |||
| | 9 | 2 | 7 |
| Mean (standard deviation) | 14.0 (8.6) | 12.5 (9.2) | 14.4 (9.1) |
| Median (Q1; Q3) | 12 (7; 19) | 13 (6; 19) | 12 (7; 24) |
| Min; Max | 6; 30 | 6; 19 | 6; 30 |
| Time to return to training (months) | |||
| | 109 | 76 | 33 |
| Mean (standard deviation) | 5.5 (2.4) | 5.1 (2.4) | 6.4 (2.3) |
| Median (Q1; Q3) | 5 (4; 7) | 5 (4; 6) | 6 (5; 8) |
| Min; Max | 2; 12 | 2; 12 | 3; 12 |
| Time to return to competition (months) | |||
| | 104 | 74 | 30 |
| Mean (standard deviation) | 6.5 (2.5) | 6.2 (2.5) | 7.3 (2.5) |
| Median (Q1; Q3) | 6 (5; 9) | 6 (5; 8) | 7 (5; 9) |
| Min; Max | 3; 12 | 3; 12 | 3; 12 |
Multivariate analysis of the factors potentially associated with recurrence: Cox model.
| Variable | Comparison | Hazard ratio (HR) ( | 95% CI of the HR | |
|---|---|---|---|---|
| Surgery | <.001 | |||
| Bankart vs. Latarjet | 12.404 | [2.7, 97.605] | ||
| Age group | .007 | |||
| ≤ 20 vs. >20 years | 14.259 | [2.539, 112.529] | ||
| Type of sport | .985 | |||
| Sporting level | 1.000 | |||
| Sex | 1.000 |
The 2 patients practicing a sport considered to be without risk were not considered in this analysis. We also excluded those not engaged in competition from this analysis.
Multivariate model for the frequencies of return to training and return to competition: Cox model.
| Variable | Comparison | Training multivariable HR 95% CI ( | Competition multivariable OR 95% CI ( | ||
|---|---|---|---|---|---|
| Surgery | Bankart vs. Latarjet | .031 | 0.597 [0.369, 0.944] | .038 | 0.600 [0.365, 0.961] |
| Age group | Age > 20 vs. age ≤ 20 years | .734 | .217 | ||
| Sporting level | .171 | .493 | |||
| Sex | F vs. M | .840 | .254 | ||
| Type of sport | .893 | .117 |
Significant (P < .05).
Adjusted multivariate analysis of the time to return to training, and time to return to competition: analysis of variance.
| Variable | Comparison | Training | Competition | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Adjusted mean (standard error) | Adjusted difference of means (standard error) | Two-tailed 95% CI | Adjusted mean (standard error) | Adjusted difference of means (standard error) | Two-tailed 95% CI | ||||
| Surgery | Latarjet | .034 | 5.339 (0.506) | 1.16 (0.54) | [0.088; 2.233] | .057 | 6.347 (0.526) | 1.097 (0.57) | [−0.035; 2.229] |
| Age group | Age ≤ 20 | .644 | 5.796 (0.619) | 0.245 (0.527) | [−0.802; 1.291] | .416 | 6.671 (0.644) | 0.45 (0.551) | [−0.644; 1.544] |
| Sex | M | .513 | 5.611 (0.352) | 0.616 (0.938) | [−1.247; 2.48] | .692 | 6.7 (0.381) | 0.392 (0.988) | [−1.57; 2.355] |
| Sporting level | International or national | .05 | 5.416 (0.502) | 1.005 (0.507) | [−0.002; 2.011] | .431 | 6.685 (0.523) | <0.423 (0.534) | [−0.639; 1.484] |
| Type of sport | With contact | .753 | 6.014(0.545) | −0.19 (0.601) | [−1.384; 1.004] | .787 | 6.807 (0.572) | 0.177 (0.656) | [−1.126; 1.48] |
Significant (P < .05).