Literature DB >> 33134987

Performance and Return to Sport After Hand, Wrist, and Forearm Fractures in the National Hockey League.

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.
METHODS: NHL players with finger, thumb, hand, wrist, and forearm fractures between the 1995-1996 and 2014-2015 seasons were identified through team injury reports and archives on public record. Player demographics, RTS rate, games played per season, and performance score for each player were recorded and compared between the preinjury season and one season following injury.
RESULTS: A total of 247 total NHL players with hand, wrist, and forearm fractures were identified, consisting of 30.8% finger, 38.5% hand, 13.8% thumb, 14.6% wrist, and 2.4% forearm fractures. Defenseman comprised the majority of players (40.1%). The overall RTS rate was 98.0%, with no significant difference between players with surgery or between injury location groups. In total, 52 players (21.1%) underwent surgery with no significant correlation of surgery rates based on fracture location. The mean number of missed games was 13.8 ± 9.9, with players sustaining wrist and forearm fractures missing the largest number of games (21.6 ± 17.7and 22.8 ± 7.5 games missed, respectively). There was no significant change in games played or performance scores 1 year after injury for players with any of the fracture types compared with baseline preoperative games played and performance.
CONCLUSIONS: NHL players have a high RTS rate following hand, wrist, and forearm fractures. Players were able to return to preinjury performance within 1 year, regardless of treatment or type of fracture. LEVEL OF EVIDENCE: Level IV, case series.
© 2020 by the Arthroscopy Association of North America. Published by Elsevier Inc.

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


Professional hockey is a high-speed collision sport with a reported injury rate of 14.2 to 78.4 injuries per 1000 player game hours., Players ice skate at speed up to 30 mph and propel pucks at speeds up to 100 mph. Improvements in helmets and facemasks have significantly diminished the incidence of facial, eye, and dental injuries; however, blunt trauma, specifically collision with opponents, remains the most common cause of injury. Of the athletes registered in the 2010 Olympics, the risk for sustaining injury was greatest for ice hockey. To that note, North American Hockey is considered more physical and aggressive compared with that in Europe. National Hockey League (NHL) players commonly miss games due to injury, which portends significant financial implications in lost salary costs. Many hockey injuries are well reported in the literature, including concussions, knee ligament ruptures, shoulder separations, femoroacetabular impingement, lumbar disc herniations, and high ankle sprains.,7, 8, 9 However, there is a paucity of literature on hand, wrist, and forearm injuries in professional hockey. Makhni et al. performed a comprehensive review of sports reporting in the medical literature and found that in articles addressing NHL injuries, the greatest proportion of studies addressed the hip/pelvis/upper leg. The hand, wrist, and forearm are commons site of ice hockey–related injury, with reported rates in the literature from 8% to 34.4%.,, Deits et al. found that 36% of ice hockey injuries presenting to U.S. emergency departments were related to upper-extremity injuries. There is currently no reported incidence of upper-extremity fractures in the NHL. Ice hockey players, unlike other sportsmen, have a unique desire to return to sports, even after injuries that sideline other athletes for long periods of time. With the NHL’s increasing popularity and high incidence of injury, further research is needed to understand the injuries associated with the sport and to develop performance based outcome measure to guide safe return to play. The purpose of this study is to examine finger, thumb, hand, wrist, and forearm fractures in the 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. We hypothesized that NHL players would demonstrate high RTS rates regardless of fracture type and would be able to perform at preinjury level. We also predicted that operative or conservative treatment would not affect RTS or performance.

Methods

Data Source

By using a previous published methodology, we identified NHL players treated either surgically or conservatively for forearm (radius and/or ulnar shaft), wrist, hand, thumb, and finger fractures between the 1995-1996 and 2014-2015 seasons through team injury reports, player profiles, and press releases.,16, 17, 18, 19 Inclusion criteria included those players who were placed on the injured list, confirmed by team transaction reports, cross-checked from official NHL team websites, and corroborated by at least 2 independent public sources. Of note, players with concomitant injuries requiring surgery (to minimize confounding variables) and players who did not have RTS (and hence did not have postinjury season statistics) were excluded from performance variable analyses but were still included in RTS analyses. We chose to exclude fracture of the upper extremity proximal to the forearm due to the lack of detailed reporting of these injury types in the available sources.

Player and Performance Variables

Player variables included body mass index, player position, and shooting hand. Fracture location (forearm, wrist, hand, thumb, and finger) as well as surgical versus nonoperative intervention also was recorded. Performance variables included games played, number of RTS, defined as a return to the active roster for at least 1 professional regular-season game, and a performance score modified for hockey as previously published (Table 1).
Table 1

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)]/Games Played
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)]/Games Played
Goalie[(0.7 × wins) + (0.2 × ties plus overtime losses) + shutouts + (0.17 × saves) – (0.25 × losses) – (1.23 × goals against)[/Games Played

NOTE. These are the equations used to calculate the performance score for specific positions.

Performance Score Formula for a Given Position NOTE. These are the equations used to calculate the performance score for specific positions.

Statistical Analysis

IBM SPSS, Version 23 (IBM Corp., Armonk, NY) was used to perform all descriptive and comparative analyses. RTS rates between operative and nonoperative intervention were compared by using the Fisher exact test. Mean missed games were compared through independent t tests and the Levene test of equality. Postinjury season and preinjury season games played and performance scores were compared using paired t tests. For all analyses, a P value of less than or equal to .05 was deemed statistically significant.

Results

A total of 247 total NHL players with hand, wrist, and forearm were identified, consisting of 30.8% finger, 38.5% hand, 13.8% thumb, 14.6% wrist, and 2.4% forearm fractures (Table 2). Defenseman comprised the majority of players (40.1%) (Table 2). The overall RTS rate was 98.0%, with no significant difference between players with surgery or between injury location groups. The players who did not experience RTS and the characteristics of their injuries are listed in Table 3. In total, 52 players (21.1%) underwent surgery with no significant correlation of surgery rates based on fracture location. The mean number of missed games was 13.8 ± 9.9, with players sustaining wrist and forearm fractures missing the largest number of games (21.6 ± 17.7 and 22.8 ± 7.5 games missed, respectively) (Table 4). Other than hand fractures, all other fracture locations resulted in a statistically greater mean number of games missed with surgery compared with nonoperative treatment (Table 5). Of note, due to the few number of forearm fractures, missed games were unable to be statistically compared. There was no significant change in games played or performance scores 1 year after injury for players with any of the fracture types compared with baseline preoperative games played and performance (Figs 1 and 2).
Table 2

Demographics of Players

Player/Injury Characteristicn%
BMI26.7 ± 1.4
Shoots with left hand15060.7%
Center4919.8%
Defenseman9940.1%
Wing9036.4%
Goalies93.6%
Finger fracture7630.8%
Thumb fracture3413.8%
Hand fracture9538.5%
Wrist fracture3614.6%
Forearm fracture62.4%

NOTE. The table contains demographic data relating to player and injury characteristics.

BMI, body mass index.

Table 3

Players Who Did Not Return to Sport

PlayersInjury TypePositionSurgery Required
1Hand fractureCenterYes
2Hand fractureDefensemanNo
3Hand fractureGoalieNo
4Index finger fractureRight wingNo
5Thumb fractureRight wingNo

NOTE. Characteristics of injuries in those who did not return to sport are shown.

Table 4

Mean Number of Missed Games by Injury

Fracture LocationMean Number of Missed Games
Finger10.2 ± 5.7
Hand14.1 ± 6.9
Thumb10.4 ± 6.4
Wrist21.6 ± 17.7
Forearm22.8 ± 7.5
Total13.8 ± 9.9

NOTE. The mean number of games missed are listed for different fracture locations.

Table 5

Mean Missed Games Based on Injury and Treatment

Fracture LocationInterventionnP Value
FingerOperative14.0 ± 5.20.017
Nonoperative9.6 ± 5.3
HandOperative16.2 ± 6.60.064
Nonoperative12.9 ± 6.7
ThumbOperative17.8 ± 6.10.023
Nonoperative8.6 ± 5.1
WristOperative35.4 ± 24.40.002
Nonoperative15.7 ± 8.7
ForearmOperativeN/AN/A
NonoperativeN/AN/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 1

Change 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 2

Change 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.

Demographics of Players NOTE. The table contains demographic data relating to player and injury characteristics. BMI, body mass index. Players Who Did Not Return to Sport NOTE. Characteristics of injuries in those who did not return to sport are shown. Mean Number of Missed Games by Injury NOTE. The mean number of games missed are listed for different fracture locations. Mean Missed Games Based on Injury and Treatment 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). Change 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. Change 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.

Discussion

Our results demonstrated that the RTS rate after sustaining a hand, wrist, or forearm fracture is extremely high. The RTS rate did not differ between fracture location or between players who had surgery versus those who were treated conservatively. We also found that players were able to return to preinjury performance after sustaining any hand, wrist, or forearm fracture within 1 year. As previously mentioned, the authors could find no studies to date that have looked at the RTS or the performance after RTS in the NHL after hand, wrist, and forearm fractures. However, when compared with studies looking at hand, wrist, and forearm fractures in other professional sports, hockey players miss fewer games and have RTS at greater rates. Morse et al. looked at metacarpal and phalangeal fracture in National Basketball (NBA) players. Compared with NHL players, NBA players with metacarpal and phalangeal fractures missed on average more games (16.3 games vs 14.2 games, and 11.4 games vs 10.2 games, respectively.) Both the NHL and NBA average about 3 games per week during their regular season; therefore, the data are comparable. Our study parallels other research that has determined high RTS and maintenance of preinjury performance after hand, wrist, and forearm fractures. Sochacki et al. found a high rate of RTS and maintained postoperative performance following forearm open reduction and internal fixation in NHL players. Guss et al. found no significant change in performance and high RTS in NBA players who sustained metacarpal fractures. Our study also found that hand fractures were the most common. Previous reports have shown that the majority of injuries are caused by collision with an opponent or with the boards; however, the implications of the high rate of hand fractures imply less common methods of injury, such as being struck by the puck or hockey stick, as well as fist fights. Defenseman were the most commonly injured position (40.1%), which is consistent with the reported rate of overall orthopaedic injuries in defensemen in previous studies. Goalies were the least likely to sustain hand, wrist, or forearm fracture, presumably due to their massive upper-extremity protective gear. Furthermore, RTS rates were high, with no significant impact of surgery or type of fracture. However, players who were treated operatively missed more games on average than those players who were treated conservatively. This may be secondary to more complex fractures requiring surgical intervention and less severe fractures being amenable to nonoperative management. Unfortunately, the radiographs, operative reports, or details about fracture severity were not available, so recommendations about specific fracture management cannot be deduced. Treatment decisions should be based on individual fracture characteristics and should not be influenced by sooner return to play seen in the nonoperative group. In addition, players with wrist and forearm injuries missed the most games, regardless of operative versus conservative management. This study sheds light on the impact of hand, wrist, or forearm fractures in NHL players, and suggests that players can predictably experience RTS at a high-performance level.

Limitations

This study is not without its limitations. Players were identified using publicly available internet sources, which is subject to observer bias. Some injuries may have been missed due to minimal media coverage of lesser-profile players or anticipated media and/or public scrutiny. Nevertheless, this method of subject selection has been used in multiple high-evidence level studies in sports medicine journals.,16, 17, 18, 19 Concomitant injuries can impact performance scores and games played. We excluded players who had reported concomitant injuries requiring surgery during the time period in our study. However, we included players with concomitant injuries that did not require surgery. This could influence our performance analysis and should be considered when looking at our reported results on performance. In addition, severity of fracture and management strategies were not known and presumably not consistent among all players. No patient-reported or clinician-reported outcomes were available. Players were excluded from the study if they were transferred to the minor leagues or if they were a rookie during their injury. These missed players could have had potential to alter our RTS and performance data. Furthermore, elbow, humeral shaft, and proximal humerus fractures were not included in this analysis because reporting of these injuries in the sources available were lacking significant detail. Fractures above the elbow were commonly reported as “arm fracture” or “upper arm injury.” In addition, only fractures that resulted in missed games that were publicly reported were included, and there may be fractures that resulted in no games missed. Lastly, intangibles such as coach and front office decision making, teammate motivation, and team leadership cannot be assessed.

Conclusions

NHL players have a high RTS rate following hand, wrist, and forearm fractures. Players were able to return to preinjury performance within 1 year, regardless of treatment or type of fracture.
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