| Literature DB >> 33134987 |
Matthew J Gotlin1, Shobhit V Minhas1, Daniel B Buchalter1, Oren I Feder1, Michael J Alaia1, Laith M Jazrawi1.
Abstract
PURPOSE: To examine finger, thumb, hand, wrist, and forearm fractures in the National Hockey League (NHL) and determine: (1) basic demographic data, (2) return to sport (RTS) rates, (3) performance after RTS, and (4) the difference in RTS between players treated operatively versus conservatively.Entities:
Year: 2020 PMID: 33134987 PMCID: PMC7588639 DOI: 10.1016/j.asmr.2020.05.013
Source DB: PubMed Journal: Arthrosc Sports Med Rehabil ISSN: 2666-061X
Performance Score Formula for a Given Position
| Center/wing | [(3.0 × even-strength goals) + (2.0 × power play goals) + (4.0 × short-handed goals) + (4.0 × game-winning goals) + (2.0 × assists) + (plus/minus) – (0.25 × penalty in minutes) – (0.33 × shot on goal)]/ |
| Defenseman | [(5.0 × even strength goals) + (4.0 × power play goals) + (6.0 × short-handed goals) + (5.0 × game-winning goals) + (3.0 × assists) + (plus/minus) – (0.25 × penalty in minutes) – (0.33 × shots on goal)]/ |
| Goalie | [(0.7 × wins) + (0.2 × ties plus overtime losses) + shutouts + (0.17 × saves) – (0.25 × losses) – (1.23 × goals against)[/ |
NOTE. These are the equations used to calculate the performance score for specific positions.
Demographics of Players
| Player/Injury Characteristic | n | % |
|---|---|---|
| BMI | 26.7 ± 1.4 | |
| Shoots with left hand | 150 | 60.7% |
| Center | 49 | 19.8% |
| Defenseman | 99 | 40.1% |
| Wing | 90 | 36.4% |
| Goalies | 9 | 3.6% |
| Finger fracture | 76 | 30.8% |
| Thumb fracture | 34 | 13.8% |
| Hand fracture | 95 | 38.5% |
| Wrist fracture | 36 | 14.6% |
| Forearm fracture | 6 | 2.4% |
NOTE. The table contains demographic data relating to player and injury characteristics.
BMI, body mass index.
Players Who Did Not Return to Sport
| Players | Injury Type | Position | Surgery Required |
|---|---|---|---|
| 1 | Hand fracture | Center | Yes |
| 2 | Hand fracture | Defenseman | No |
| 3 | Hand fracture | Goalie | No |
| 4 | Index finger fracture | Right wing | No |
| 5 | Thumb fracture | Right wing | No |
NOTE. Characteristics of injuries in those who did not return to sport are shown.
Mean Number of Missed Games by Injury
| Fracture Location | Mean Number of Missed Games |
|---|---|
| Finger | 10.2 ± 5.7 |
| Hand | 14.1 ± 6.9 |
| Thumb | 10.4 ± 6.4 |
| Wrist | 21.6 ± 17.7 |
| Forearm | 22.8 ± 7.5 |
| Total | 13.8 ± 9.9 |
NOTE. The mean number of games missed are listed for different fracture locations.
Mean Missed Games Based on Injury and Treatment
| Fracture Location | Intervention | n | |
|---|---|---|---|
| Finger | Operative | 14.0 ± 5.2 | 0.017 |
| Nonoperative | 9.6 ± 5.3 | ||
| Hand | Operative | 16.2 ± 6.6 | 0.064 |
| Nonoperative | 12.9 ± 6.7 | ||
| Thumb | Operative | 17.8 ± 6.1 | 0.023 |
| Nonoperative | 8.6 ± 5.1 | ||
| Wrist | Operative | 35.4 ± 24.4 | 0.002 |
| Nonoperative | 15.7 ± 8.7 | ||
| Forearm | Operative | N/A | N/A |
| Nonoperative | N/A | N/A |
NOTE. The number of mean games missed are listed for each fracture location based on whether their fracture was treated operatively or nonoperatively.
N/A, not available.
Represents values that are statistically significant (P < 0.05).
Fig 1Change in games played the season following injury. This figure depicts the change in games played for different fracture locations. Data points below the zero line demonstrate a reduction in games played the season after the injury, whereas data points above the zero line demonstrate an increase in games played the season after injury. None of the data points were statistically significant.
Fig 2Change in performance score the season following injury. This figure depicts the change in performance for different fracture locations. Data points below the zero line demonstrate a reduction in performance the season after the injury, whereas data points above the zero line demonstrate an increase in performance the season after injury. None of the data points were statistically significant.