| Literature DB >> 32490410 |
Jonas S Nordin1, Ola Olsson1, Karl Lunsjö1.
Abstract
BACKGROUND: Acromioclavicular joint (ACJ) dislocations are common but evidence regarding the epidemiology of these injuries is incomplete. This study aims to describe the incidence, injury mechanisms, distribution of classifications, risk factors, and patient characteristics for ACJ dislocations in a general population.Entities:
Keywords: Acromioclavicular joint; classification; dislocation; epidemiology; incidence; separation
Year: 2020 PMID: 32490410 PMCID: PMC7256880 DOI: 10.1016/j.jseint.2020.01.009
Source DB: PubMed Journal: JSES Int ISSN: 2666-6383
Definition of Rockwood classification
| Rockwood type | AC ligaments | CC ligaments | Deltotrapezoidal fascia | Radiographs | Clinical examination of ACJ |
|---|---|---|---|---|---|
| 1 | Intact or partial injury | Intact | Intact | Normal | Stable |
| 2 | Torn | Intact or partial injury | Intact | Normal or widening of ACJ and/or slight increase in CC distance | Horizontal instability |
| 3 | Torn | Torn | Lateral avulsion | 25%-100% increase in CC distance | Horizontal and vertical instability |
| 4 | Torn | Torn | Dorsal injury | Increased or normal CC distance. Possibly visible on lateral or axillary view | Large horizontal instability |
| 5 | Torn | Torn | Torn | >100% increased CC distance | Horizontal and large vertical instability |
| 6 | Torn | Torn | Torn | Inferior dislocation of clavicle | High risk of neurovascular insult |
AC, acromioclavicular; CC, coracoclavicular; ACJ, acromioclavicular joint.
Figure 1Flow chart describing inclusion of patients.
Overall incidence per gender and age group
| Variables | Cases, n | Person-years at risk, 103 | Incidence (95% CI) |
|---|---|---|---|
| Total | 157 | 781 | 2.0 (1.7, 2.4) |
| Injury type | |||
| Low grade | 72 | 781 | 0.92 (0.73, 1.2) |
| High grade | 85 | 781 | 1.1 (0.88, 1.3) |
| Gender | |||
| Female | 18 | 390 | 0.46 (0.29, 0.73) |
| Male | 139 | 391 | 3.6 (3.0, 4.2) |
| Age group | |||
| 18-39 y | 82 | 290 | 2.8 (2.3, 3.5) |
| 40-59 y | 61 | 288 | 2.1 (1.6, 2.7) |
| 60-75 y | 14 | 203 | 0.69 (0.41, 1.2) |
| Gender and age group | |||
| Female | |||
| 18-39 y | 5 | 142 | 0.35 (0.15, 0.84) |
| 40-59 y | 10 | 144 | 0.70 (0.38, 1.3) |
| 60-75 y | 3 | 103 | 0.29 (0.09, 0.90) |
| Male | |||
| 18-39 y | 77 | 147 | 5.2 (4.2, 6.5) |
| 40-59 y | 51 | 144 | 3.5 (2.7, 4.7) |
| 60-75 y | 11 | 100 | 1.1 (0.61, 2.0) |
CI, confidence interval.
Person-years at risk is the sum of population in our catchment area. Incidence was calculated as cases per 10,000 person-years.
Incidence rate ratios (IRRs) for subgroup comparisons
| Variable | Comparison | IRR (95% CI) |
|---|---|---|
| Gender | Male vs. female | 7.6 (4.7, 12.6) |
| Age group, y | 18-39 vs. 40-59 | 1.3 (0.95, 1.8) |
| 18-39 vs. 60-75 | 4.0 (2.3, 7.0) | |
| 40-59 vs. 60-75 | 3.0 (1.7, 5.4) |
CI, confidence interval.
Calculations using adjusted poisson regression.
Odds ratios (ORs) for high-grade ACJ dislocation
| Subgroup | Comparison | OR (95% CI) |
|---|---|---|
| Age group, y | 40-59 vs. 18-39 | 2.6 (1.2, 5.4) |
| 60-75 vs. 18-39 | 3.6 (0.89, 14.1) | |
| Gender | Male vs. female | 1.3 (0.43, 3.8) |
| Type of trauma | Traffic accident vs. fall | 3.8 (1.5, 10) |
| Traffic accident vs. sport | 2.3 (1.1, 5.3) | |
| Traffic accident vs. miscellaneous | 7.7 (0.74, 100) |
ACJ, acromioclavicular joint; CI, confidence interval.
Calculations using adjusted logistic regression model including all subgroups.
Trauma mechanisms and the distribution of low-/high-grade dislocations
| Type of trauma | Total, % | Low-grade injury, % | High-grade injury, % |
|---|---|---|---|
| Activities | |||
| Total | 157 | 72 (46) | 85 (54) |
| Soccer | 19 (12) | 11 (15) | 8 (9) |
| Martial arts | 11 (7) | 8 (11) | 3 (4) |
| Skiing | 9 (6) | 3 (4) | 6 (7) |
| Bicycle sport | 8 (5) | 4 (6) | 4 (5) |
| Ice hockey | 6 (4) | 4 (6) | 2 (2) |
| Floorball | 4 (3) | 2 (3) | 2 (2) |
| Horseback riding | 5 (3) | 1 (1) | 4 (5) |
| Rugby/American football | 3 (2) | 1 (1) | 2 (2) |
| Parkour | 1 (1) | 1 (1) | 0 |
| Bicycle transport | 29 (19) | 5 (7) | 24 (28) |
| Motorcycle/moped | 16 (10) | 5 (7) | 11 (13) |
| Car | 4 (3) | 2 (3) | 2 (2) |
| Other traffic accident | 5 (3) | 3 (4) | 2 (2) |
| Falls | 32 (20) | 18 (25) | 14 (17) |
| Miscellaneous | 5 (3) | 4 (6) | 1 (1) |
| Type of trauma subgroups | |||
| Sports | 66 (42) | 35 (49) | 31 (37) |
| Traffic accidents | 54 (34) | 15 (21) | 39 (46) |
| Falls | 32 (20) | 18 (25) | 14 (17) |
| Miscellaneous | 5 (3) | 4 (6) | 1 (1) |
Values are number of cases in each group. Other traffic accidents include segway, kickbike, and longboard. Miscellaneous includes, for example, getting hit by door caught by wind and failing to stand on one's hands.
Type of trauma per age group
| Age group | Sports, % | Traffic accidents, % | Falls, % | Miscellaneous, % |
|---|---|---|---|---|
| 18-39 (n = 82) | 45 (55) | 22 (27) | 11 (13) | 4 (5) |
| 40-59 (n = 61) | 20 (33) | 25 (41) | 15 (25) | 1 (2) |
| 60-75 (n = 14) | 1 (7) | 7 (50) | 6 (43) | 0 |
Values are total number of cases in each subgroup.