| Literature DB >> 34430891 |
Blake M Bodendorfer1, Steven F DeFroda1, Henry T Shu2, Derrick M Knapik1, Daniel S Yang3, Nikhil N Verma1.
Abstract
PURPOSE: To examine trends in the incidence of pectoralis major (PM) injuries over the last 22 National Football League (NFL) seasons and identify risk factors for injuries requiring operative management.Entities:
Year: 2021 PMID: 34430891 PMCID: PMC8365205 DOI: 10.1016/j.asmr.2021.03.019
Source DB: PubMed Journal: Arthrosc Sports Med Rehabil ISSN: 2666-061X
Distribution of Pectoralis Major Injuries based on Tear Degree
| Tear Degree | Number of Injuries (%) | Incidence |
|---|---|---|
| Strain (Grade I) | 90 (34.9) | 0.210 |
| Partial tear (Grade II) | 33 (12.8) | 0.077 |
| Complete tear (Grade III) | 132 (51.2) | 0.309 |
| Unknown | 3 (1.2) | N/A |
Table 1 shows the number and incidence of pectoralis major injuries by tear degree. Incidence is reported per 10,000 athlete-exposures. N/A, not applicable.
Injury Distribution by Player Positions
| Position | Number of Pectoralis Major Injuries (%) |
|---|---|
| Defense | |
| Defensive lineman | 50 (29.9) |
| Linebacker | 73 (43.7) |
| Defensive back/secondary | 44 (26.3) |
| Offense | |
| Offensive lineman | 54 (60.0) |
| Running back | 12 (13.3) |
| Wide receiver | 7 (7.8) |
| Tight end | 9 (10.0) |
| Quarterback | 8 (8.9) |
| Special teams |
Table 2 shows the number of pectoralis major injuries that occurred within each player position.
Fig. 1Incidence of pectoralis major injury in the National Football League per year with linear regression performed. Incidence is reported as rate of injury per 10,000 athlete-exposures.
Management Type Based on Athlete Demographics and Position
| Mean ± SD Where Applicable [Range] | |
|---|---|
| Conservative Management | 116 (45.0%) |
| Age | 27.4 ± 3.3 years [21.0-37.0] |
| BMI | 32.7 ± 4.0 [24.9-41.9] |
| Defensive athletes | 56 (48.3%) |
| Defensive lineman | 21 (37.5%) |
| Linebacker | 24 (42.9%) |
| Defensive back/secondary | 15(26.8%) |
| Offensive athletes | 60 (51.2%) |
| Offensive lineman | 30 (50.0%) |
| Running back | 7 (11.7%) |
| Wide receiver | 6 (10.0%) |
| Tight end | 8 (13.3%) |
| Quarterback | 5 (8.3%) |
| Operative management | 126 (48.8%) |
| Age | 26.8 ± 3.3 years [22.0-37.0] |
| BMI | 32.5 ± 4.0 [25.3-43.1] |
| Defensive athletes | 98 (77.8%) |
| Defensive lineman | 26 (26.5%) |
| Linebacker | 46 (46.9%) |
| Defensive back/secondary | 26 (26.5%) |
| Offensive athletes | 27 (21.4%) |
| Offensive lineman | 18 (66.7%) |
| Running back | 5 (18.5%) |
| Wide receiver | 0 (0.0%) |
| Tight end | 1 (3.7%) |
| Quarterback | 3 (11.1%) |
Table 3 shows the player demographics in nonoperatively versus operatively treated players. BMI, body mass index; SD, standard deviation.
Risk Factors for Operative Pectoralis Major Tendon Injury
| Variables | OR (95% CI) | |
|---|---|---|
| Year of Injury | 1.11 (1.05-1.17) | |
| Position | ||
| Defensive line | 3.78 (1.42-10.60) | |
| Defensive backs | 12.20 (2.13-76.60) | |
| Linebacker | 8.98 (2.58-33.60) | |
| Quarterback | 2.85 (.32-24.30) | .337 |
| Running back | 2.10 (.30-13.00) | .432 |
| Special teams | NA | .994 |
| Tight end | .67 (.03-5.92) | .745 |
| Wide receiver | NA | .987 |
| Practice or game injury | 1.65 (.62-4.52) | .319 |
| BMI | 1.13 (.98-1.32) | .106 |
| Age at injury | 1.24 (.97-1.63) | .099 |
| Years of experience before injury | .77 (.59-.99) |
Table 4 demonstrated risk factors for pectoralis major injuries requiring operative treatment as determined by multivariate logistic regression.
BMI, body mass index; CI, confidence interval; OR, odds ratio. Bolded P values indicates statistical significance (P < .05).
, with reference to offensive linemen;
, referenced to practice setting.