| Literature DB >> 35047646 |
Ophelie Z Lavoie-Gagne1, Avinaash Korrapati2, Julia Retzky3, David N Bernstein1, Connor C Diaz2, Elyse J Berlinberg2, Enrico M Forlenza2, Matthew S Fury1, Nabil Mehta2, Evan A O'Donnell1, Brian Forsythe2.
Abstract
BACKGROUND: Meniscal injuries are extremely common in soccer athletes, and little is known about postrecovery performance.Entities:
Keywords: case-control; football (soccer); general sports trauma; meniscal tear; performance outcomes
Year: 2022 PMID: 35047646 PMCID: PMC8761888 DOI: 10.1177/23259671211059541
Source DB: PubMed Journal: Orthop J Sports Med ISSN: 2325-9671
Figure 1.STROBE (Strengthening The Reporting of Observational Studies in Epidemiology) diagram for study enrollment.
Player Characteristics Between Injured and Control Players
| Control | Meniscal Tear |
| |
|---|---|---|---|
| Case-control match | |||
| Player position, n | .84 | ||
| Attacker | 104 | 52 | |
| Midfielder | 164 | 82 | |
| Defender | 166 | 83 | |
| Goalkeeper | 66 | 33 | |
| Season of play | 2011 ± 5.7 | 2011 ± 3.3 | .09 |
| Total years played in league | 4.9 ± 3.6 | 6.29 ± 4.3 | >.99 |
| Height, m | 1.8 ± 0.1 | 1.83 ± 0.1 | >.99 |
| Age during season | 24.7 ± 4.4 | 25.2 ± 4.5 | .13 |
| Baseline metrics | |||
| Games played | 12.5 ± 13.2 | 14.4 ± 12.9 | .06 |
| Total time played | 926.1 ± 1067.7 | 1077.8 ± 1074.5 | .07 |
| Goals scored | 0.2 ± 0.2 | 0.2 ± 0.1 | .80 |
| Assists recorded | 0.2 ± 0.1 | 0.2 ± 0.1 | .35 |
Metrics 1 season before the index time point.
Injury Characteristics in the Meniscal Tear Group (n = 250)
| Characteristic | Value |
|---|---|
| Primary injury | |
| Surgical management | 106 (42) |
| Days missed | 57.5 [35-92] |
| Games missed | 7 [4-12] |
| RTP | |
| At any time point | 176 (70) |
| By 1 season postinjury | 154 (62) |
| By 2 seasons postinjury | 164 (66) |
| By 3 seasons postinjury | 172 (69) |
| By 4 seasons postinjury | 176 (70) |
| Secondary injury | |
| Meniscal retear, n (%) | 12 (5) |
| Time to meniscal retear (years) | 2 [1-3] |
| Days missed* | 45.5 [40-56] |
| Games missed** | 6 [5-7] |
Data are reported as n (%) or median [IQR]. IQR, interquartile range; RTP, return to play.
*P value compared with primary injury = .33.
**P value compared with primary injury = .45.
Multivariable Regression of RTP Within 2 Seasons of Injury
| OR (95% CI) |
| |
|---|---|---|
| Age, years | ||
| <21 | Reference | |
| 26-30 | 1.00 (0.81-1.24) | .98 |
| >30 | 0.62 (0.46-0.83) |
|
| Player position | ||
| Attacker | Reference | |
| Midfielder | 1.12 (0.83-1.49) | .46 |
| Defender | 1.33 (0.93-1.88) | .12 |
| Type of management | ||
| Nonsurgical | Reference | |
| Surgical | 1.38 (1.14-1.68) |
|
| Games played | ||
| <10 | Reference | |
| 10-19 | 0.87 (0.40-1.87) | .72 |
| 20-29 | 1.10 (0.51-2.37) | .81 |
| ≥30 | 1.05 (0.50-2.24) | .89 |
| Goals per game | 2.80 (1.07-7.34) |
|
| Assists per game | 0.53 (0.20-1.43) | .22 |
RTP at same league level. OR, odds ratio; RTP, return-to-play.Bold values indicate statistically significant comparisons.
Overall metrics for 1 season before the index time point.
Figure 2.Player retention in the leagues by injury status during the study follow-up period.
Figure 3.Overall athlete (A) field time and (B) performance metrics. Significance values: *P < .05, **P < .01, ***P < .001.
Figure 4.Field time by position. Significance values: *P < .05, **P < .01, ***P < .001.
Figure 5.Performance metrics by position. Significance values: *P < .05, **P < .01, ***P < .001.