Literature DB >> 28840155

Incidence of Second Anterior Cruciate Ligament Tears and Identification of Associated Risk Factors From 2001 to 2010 Using a Geographic Database.

Nathan D Schilaty1,2,3, Christopher Nagelli1,2,4, Nathaniel A Bates1,2,3, Thomas L Sanders1, Aaron J Krych1,2, Michael J Stuart1,2, Timothy E Hewett1,2,3,4,5.   

Abstract

BACKGROUND: The reported rate of second anterior cruciate ligament (ACL) injuries (20%-30%), including graft failure and contralateral ACL tears, after ACL reconstruction (ACLR) or nonoperative therapy indicates that multiple factors may predispose patients to subsequent ACL injuries.
PURPOSE: To determine the incidence of second ACL injuries in a population-based cohort over a 10-year observation period (2001-2010) and to identify factors that contribute to the risk of second injuries. STUDY
DESIGN: Descriptive epidemiological study.
METHODS: International Classification of Diseases, 9th Revision (ICD-9) codes relevant to the diagnosis of an ACL tear and the procedure code for ACLR were utilized to search the Rochester Epidemiology Project, a multidisciplinary county database, between the years of 2001 and 2010. The complete medical records for all cases were reviewed to confirm diagnosis and treatment details. A total of 914 unique patients with 1019 acute, isolated ACL tears were identified. These patients were stratified by primary and secondary tears, sex, age, activity level, side of injury, sex × side of injury, and graft type of reconstruction.
RESULTS: Second ACL tears were recorded in 141 (13.8%) of the 914 patients diagnosed with an ACL tear in Olmsted County, Minnesota, USA, from 2001 to 2010; 50.4% of these occurred in the contralateral knee. A noncontact mechanism was responsible for 76.4% of all ACL injuries. A second ACL injury was influenced by factors of sex × age group, treatment type × age group, and treatment type × activity level. Nonparametric analysis of graft disruption × graft type demonstrated that a higher prevalence of second ACL tears occurred with allografts compared with hamstring autografts (P = .0054) and patellar tendon autografts (P = .0001).
CONCLUSION: The incidence of second ACL tears in this population-based cohort was 13.8%, and half occurred to the ACL of the contralateral knee. Statistically, second ACL injuries differed by sex, occurring in female patients younger than 25 years and male patients aged 26 to 45 years. Allografts continued to be associated with a greater risk of second ACL injuries compared with hamstring and patellar tendon autografts. Nonoperative treatment carried more risk of contralateral tears than ACLR.

Entities:  

Keywords:  anterior cruciate ligament (ACL); epidemiology; graft tear; incidence; secondary

Year:  2017        PMID: 28840155      PMCID: PMC5564962          DOI: 10.1177/2325967117724196

Source DB:  PubMed          Journal:  Orthop J Sports Med        ISSN: 2325-9671


Second anterior cruciate ligament (ACL) tears, either ipsilateral (graft failure) or contralateral,[34] continue to devastate patients and the economy. Annual costs for ACL reconstruction (ACLR) and rehabilitation (either after surgery or nonoperative therapy) exceed US$2 billion.[3,11,12,16] ACL tears are associated with serious concomitant injuries, including meniscal lesions,[23] bone bruises, fractures, and sequelae of cartilage degeneration[25] and early-onset osteoarthritis within 10 to 15 years.[6,19] A patient with a second ACL injury may also experience fear upon returning to sports[2,24] or require additional rehabilitation beyond what insurance coverage will allow. The risk of second ACL injuries has been reported to be as high as one-third,[8,9,27,44] which is a high and likely preventable recurrence rate. A reduction in the occurrence of subsequent ACL tears would be ideal, as the long-term consequences of a second ACL injury increase the future economic burden and individual suffering. Previous studies of second ACL injuries have indicated that factors such as patient age,[22,27,50,52] sex,[27] activity level,[5,22,27,52] time delay before ACLR,[45] and graft type[22,27,50] are predictive of future ACL injuries.[28] ACLR continues to be a common orthopaedic procedure, but many controversies exist over prevention, graft selection, and rehabilitation.[5,13,22,37,51,53] Geographically based epidemiological data are lacking to support these outcomes. Studies should examine the geographic, population-based epidemiological trends of second ACL injuries because the number of children engaging in high-level athletics is increasing and older patients are staying more active.[28] As a follow-up to our previous geographic, population-based epidemiological report on second ACL injuries,[41] the purpose of this continuation study was (1) to determine the incidence of second ACL injuries in a population-based cohort over a 10-year time span (2001-2010) and (2) to determine factors associated with a second ACL injury. Our rationale for this continuation study is that knowledge of both the historical and geographically based incidence of second ACL injuries will (1) allow for improved understanding of the epidemiological progression of the disease, especially with advances in technology and technique, and (2) assist in the prevention and rehabilitation of a second ACL injury[8,33,34] and its resultant sequelae.

Methods

The Rochester Epidemiology Project[38] (REP) is a medical record linkage system that provides access to complete medical records for all residents of Olmsted County, Minnesota, USA, regardless of the medical facility in which the care was delivered.[38,46-48] Since its inception, the REP database has included over 6.1 million health records. This unique population-based data infrastructure allows the complete determination and follow-up of all clinically diagnosed cases in a geographically defined community.[38] In addition, the epidemiological data of the REP have demonstrated generalizability to larger populations.[47] The REP database was utilized with inclusion criteria of all occurrences of ACL tears (based on International Classification of Diseases, 9th Revision [ICD-9] billing codes consistent with an ACL injury) from 2001 to 2010. Second ACL injuries, defined as any ACL tear after a primary injury (either ipsilateral or contralateral), were tracked in this same cohort of patients through December 31, 2016. Contralateral ACL injuries were defined as an ACL injury to the opposite knee of the original index injury. Records were searched for evidence of a second ACL injury via orthopaedic examinations, arthroscopic examinations, magnetic resonance imaging (MRI), or surgical records of ACLR. The results yielded 1738 patients in the geographic locale. Three authors (N.D.S., C.N., and N.A.B.) reviewed all medical records individually to confirm the accuracy of the diagnosis and gather relevant data regarding each patient and his or her outcomes. Subsequently, 719 of the 1738 patients were excluded from further analysis because of the confirmation of non-ACL injuries (eg, posterior cruciate ligament tears, meniscal injuries, MRI confirmation of tear absence) or chronic ACL injuries (defined as >2 years from the time of diagnosis). We identified 1019 unique, acute-onset, isolated ACL tears, regardless of the reconstruction status, in 914 unique patients (approximately 1.0% of the total population). Of these patients, 141 sustained a secondary ACL injury. Additionally, 756 (80.4%) of the 914 patients elected to undergo ACLR. Various factors potentially predictive of a second ACL injury were examined, including sex, age, activity level, sex × side of injury, sex × activity level (sedentary, recreational, or competitive), side of tear, and graft type of reconstruction. All allografts were combined for analysis because of the variety of allografts and the limited number of allografts available. All ACL tears were categorized as complete, partial, or unknown by MRI or arthroscopic examinations. If a partial tear was diagnosed, a later diagnosis of a complete tear was not considered as a secondary injury. Institutional review board approval was obtained from both the Mayo Clinic (14-003215) and the Olmsted Medical Center (026-OMC-14), and informed consent was obtained previously from all patients. All statistical analyses were performed using JMP 10 (SAS Institute). The nonparametric Wilcoxon rank test and post hoc Wilcoxon each-pair test were utilized for nonparametric factors. One-way analyses of variance were utilized to calculate means regarding the risk of second ACL injuries. Contingency analyses were performed for graft type selection. Statistical significance was set at P < .05.

Results

The mean (±SD) occurrence of ACL tears from 2001 to 2010 in Olmsted County, Minnesota was 97.9 ± 8.4 per year. This averaged trend of ACL tears was steady over time. A noncontact mechanism was responsible for 76.6% of these injuries. Of the 914 patients (mean age, 29.4 ± 11.7 years; 581 male) (Table 1), a second ACL tear was recorded in 141 (13.8%); these included 65 (46.1%) graft ruptures, 71 (50.4%) contralateral tears, and 5 (3.5%) ruptures of a contralateral graft (ie, contralateral retear). Also, 6.4% of all ACL injuries were graft ruptures, and 7.4% were contralateral tears. Of the second injuries, 74.5% occurred via noncontact mechanisms. Subsequently, 819 (80.4%) of the 1019 recorded ACL injuries underwent ACLR. Moreover, 24.7% of the patients were lost to follow-up, defined as no health record entry after January 1, 2013. The mean follow-up was 8.1 ± 3.7 years. A graft rupture occurred, on average, at 3.7 ± 3.0 years, and a contralateral tear occurred, on average, at 4.7 ± 3.8 years.
TABLE 1

Demographics of Anterior Cruciate Ligament Tears

No. of tears1019
Age, mean ± SD, y29.4 ± 11.7
Sex
 Male581 (57.0)
 Female438 (43.0)
Tear type
 Complete828 (81.3)
 Partial130 (12.7)
 Unknown61 (6.0)
Activity level
 Competitive197 (19.3)
 Recreational673 (66.0)
 Sedentary70 (6.9)
 Unknown79 (7.8)
Tear occurrenceb
 Primary878 (86.2)
 Secondary141 (13.8)
  Graft failure65 (46.1)
  Contralateral tear
   ACL reconstruction73 (51.8)
   Nonoperative therapy3 (2.1)

Values are expressed as n (%) unless otherwise specified.

Of the 914 unique patients, 141 patients sustained additional anterior cruciate ligament (ACL) tears from the time of initial inclusion to 2017, 40 of the secondary injuries included occurred after 2010, and 8 patients sustained multiple second injuries.

Demographics of Anterior Cruciate Ligament Tears Values are expressed as n (%) unless otherwise specified. Of the 914 unique patients, 141 patients sustained additional anterior cruciate ligament (ACL) tears from the time of initial inclusion to 2017, 40 of the secondary injuries included occurred after 2010, and 8 patients sustained multiple second injuries. There were 828 complete tears and 130 partial tears. Of the 130 partial tears, 89 underwent surgical treatment, and 41 were treated nonoperatively. Of the 828 complete tears, 696 underwent surgical treatment, and 132 were treated nonoperatively. There was no statistically significant influence of treatment selection × tear type (partial vs complete) on second ACL injury. Age ≤16 years compared to all other ages was not significant for a second ACL injury (Z 1 = 0.0379; P = .8456). Additionally, sex × age ≤16 years did not demonstrate predictive strength for a second injury (Z 1 = 0.1481; P = .7004). However, there was a higher percentage of primary (69.4%) and secondary (64.7%) injuries in female patients aged ≤16 years compared to their male counterparts (Table 2).
TABLE 2

Anterior Cruciate Ligament Tears by Age Group

MaleFemaleTotal
Primary tears
 ≤16 y34 (30.6)77 (69.4)111 (12.6)
 17-25 y192 (66.7)96 (33.3)288 (32.8)
 26-35 y137 (67.8)65 (32.2)202 (23.0)
 36-45 y94 (53.1)83 (46.9)177 (20.2)
 46-55 y34 (39.5)52 (60.5)86 (9.8)
 >55 y8 (57.1)6 (42.9)14 (1.6)
 All 878 (100.0)
Secondary tears
 ≤16 y6 (35.3)11 (64.7)17 (12.1)
 17-25 y24 (48.0)26 (52.0)50 (35.5)
 26-35 y26 (83.9)5 (16.1)31 (22.0)
 36-45 y20 (66.7)10 (33.3)30 (21.3)
 46-55 y5 (50.0)5 (50.0)10 (7.1)
 >55 y1 (33.3)2 (66.7)3 (2.1)
 All 141 (100.0)

Values are expressed as n (%).

Anterior Cruciate Ligament Tears by Age Group Values are expressed as n (%). The Wilcoxon test demonstrated that patient sex was not predictive of a second ACL injury (Z 1 = 0.0866; P = .7686). After excluding patients who experienced a contralateral second ACL tear, there was no significant influence of injured side (Z 1 = 1.5954; P = .2065), sex × left side (Z 1 = .1057; P = .7451), or sex × right side (Z 1 = 0.4586; P = .4983) on second ACL injury. We stratified all patients into 6 age groups and assessed each according to the probability of a second ACL injury. Most primary and secondary ACL tears of both sexes occurred between the ages of 17 and 35 years (Table 2). In reference to second ACL injuries, female patients were more likely to sustain a second ACL tear compared to age-matched male patients except from ages 26 to 45 years (Table 2). Analysis of sex × age group demonstrated a significant predictive value for second injuries (P = .0101) for female patients aged 17 to 25 years (26/122 female patients [21.3%] and 24/216 male patients [11.1%] experienced a second ACL injury) and a predictive value that approached significance for male patients between the ages of 26 and 35 years (P = .0722). In addition, treatment type (ACLR or nonoperative therapy) × age group demonstrated a high predictive value for second ACL injuries in patients who underwent nonoperative therapy at younger ages: ≤16 years (P = .0060) and 17 to 25 years (P < .0001) (Figure 1). This analysis was performed constraining second injuries for nonoperative therapy only to the contralateral limb, as a second injury to the index limb was not possible.
Figure 1.

Probability of sustaining a second ACL injury by age group and treatment type. A value of 1 indicates a second ACL injury. From adolescence through age 25 years, nonoperative therapy significantly increased the probability of sustaining a second ACL injury. ACL, anterior cruciate ligament; ACLR, ACL reconstruction.

Probability of sustaining a second ACL injury by age group and treatment type. A value of 1 indicates a second ACL injury. From adolescence through age 25 years, nonoperative therapy significantly increased the probability of sustaining a second ACL injury. ACL, anterior cruciate ligament; ACLR, ACL reconstruction. With regard to recorded activity levels and the resultant risk of second ACL injuries, most patients who suffered an ACL tear identified their activity level as recreational (66.0%), with 19.3% at the competitive and 6.9% at the sedentary levels (Table 1). An analysis of second injuries was carried out by activity level according to treatment group. This analysis revealed a significant effect for those who underwent nonoperative therapy with little modification of their activity level (Z 2 = 13.8248; P = .0010) with post hoc comparisons of competitive versus recreational (P = .0002) and competitive versus sedentary (P = .0050). In addition, nonoperative therapy at the competitive level significantly increased the risk of second injuries to those who underwent ACLR (Z 1 = 13.1207; P = .0003) (Figure 2). Overall, if ACLR was elected, allografts were most likely to fail, with a probability of 17.0% (Table 3). Hamstring autografts were 10.7% likely to suffer a second ACL tear, which differed from patellar tendon autografts at 12.4%.[37]
Figure 2.

Probability of sustaining a second ACL injury by activity level and treatment type. A value of 1 indicates a second ACL injury. Nonoperative therapy with continued participation in competitive-level sports significantly increased the probability of sustaining a second ACL injury. ACL, anterior cruciate ligament.

TABLE 3

Statistical Analysis of Observed Epidemiological Factors for the Risk of Second ACL Injuries

FactorMeann P
Sex .7686
 Male0.1411581
 Female0.1347438
Activity level .2020
 Sedentary0.128670
 Recreational0.1382673
 Competitive0.1878197
Sex × sedentaryb .8740
 Male0.120025
 Female0.133345
Sex × recreationalb .1050
 Male0.1546427
 Female0.1098246
Sex × competitiveb .0733
 Male0.133390
 Female0.2336107
Age .4201
 <20 y0.1636269
 ≥20 y0.1429672
Age group .9201
 ≤16 y0.1339127
 17-25 y0.1563320
 26-35 y0.1403221
 36-45 y0.1629178
 46-55 y0.125080
 >55 y0.200015
Age × sedentaryb .7009
 ≤20 y0.00001
 >20 y0.130469
Age × recreationalb .9423
 ≤20 y0.1359103
 >20 y0.1386570
Age × competitiveb .6253
 ≤20 y0.1818165
 >20 y0.218832
Side of injuryb .1860
 Left0.1519540
 Right0.1232479
Sex × left sideb .8903
 Male0.1654272
 Female0.1609230
Sex × right sideb .9244
 Male0.1333270
 Female0.1302169
Sex × age ≤16 y .7182
 Male0.150040
 Female0.126487
Sex × age 17-25 y .0101
 Male0.1171205
 Female0.2261115
Sex × age 26-35 y .0722
 Male0.1677155
 Female0.075866
Sex × age 36-45 y .2693
 Male0.1900100
 Female0.128278
Sex × age 46-55 y .6103
 Male0.147134
 Female0.108746
Sex × age >55 y .4533
 Male0.12508
 Female0.28577
Treatment .3571
 No ACLR0.1531196
 ACLR0.1349823
Graft typeb .1310
 Allograft0.1700253
 Hamstring autograft0.1074149
 Patellar tendon autograft0.1238420

A mean value that approximates 1 indicates an increased risk for second ACL injuries. ACL, anterior cruciate ligament; ACLR, ACL reconstruction. Bolded value represents statistical significance (P < .05). Italicized values represent a value that is approaching statistical significance.

For each category of analysis, the total n value may deviate from 1019, as unknown classifications were removed from analysis.

Probability of sustaining a second ACL injury by activity level and treatment type. A value of 1 indicates a second ACL injury. Nonoperative therapy with continued participation in competitive-level sports significantly increased the probability of sustaining a second ACL injury. ACL, anterior cruciate ligament. Statistical Analysis of Observed Epidemiological Factors for the Risk of Second ACL Injuries A mean value that approximates 1 indicates an increased risk for second ACL injuries. ACL, anterior cruciate ligament; ACLR, ACL reconstruction. Bolded value represents statistical significance (P < .05). Italicized values represent a value that is approaching statistical significance. For each category of analysis, the total n value may deviate from 1019, as unknown classifications were removed from analysis. Contingency analyses were performed for graft type × age group and graft type × activity level. Graft type × age group (χ2 = 357.653; P < .0001) and graft type × activity level (χ2 = 117.565; P < .0001) both demonstrated significance and thus a correlation between the variables. A contingency analysis of activity level × age group (χ2 = 326.463; P < .0001) demonstrated that a correlation between these variables also existed. An analysis of the risk of second injuries by graft type (Z 2 = 4.0658; P = .1310) revealed trends toward significance, with an increased risk for allografts versus hamstring autografts (P = .0873) and patellar tendon autografts (P = .0961). Specifically, for the subset of graft ruptures (retears) that comprised second injuries (Z 2 = 20.0872; P < .0001), allografts carried a significantly greater risk of second injuries versus hamstring autografts (P = .0035) and patellar tendon autografts (P < .0001) (Figure 3). For the subset of contralateral tears (Z 2 = 5.3023; P = .0706), patellar tendon autografts demonstrated a significantly greater risk of second injuries than allografts (P = .0216). Finally, for the subset of contralateral retears (Z 2 = 4.7067; P = .0951) in which the patient experienced a third ACL injury, allografts demonstrated a significantly greater risk of second injuries than patellar tendon autografts (P = .0255; grafts that sustained a contralateral retear were 4 allografts and 1 patellar tendon autograft).
Figure 3.

Probability of sustaining a second anterior cruciate ligament (ACL) injury by graft type. A value of 1 indicates a second ACL injury. All allograft types were combined. Allo, allograft (hamstring or patellar tendon); AutoHam, hamstring autograft; AutoPat, patellar tendon autograft.

Probability of sustaining a second anterior cruciate ligament (ACL) injury by graft type. A value of 1 indicates a second ACL injury. All allograft types were combined. Allo, allograft (hamstring or patellar tendon); AutoHam, hamstring autograft; AutoPat, patellar tendon autograft. Graft type × age group demonstrated significance for predicting second injuries for age ≤16 years (Z 2 = 6.4321; P = .0401) and age 17 to 25 years (Z 2 = 17.1612; P = .0002). In the age group of ≤16 years, post hoc analysis revealed the significance of allografts versus hamstring autografts (P = .0093). In the age group of 17 to 25 years, post hoc analysis revealed the significance of allografts versus hamstring autografts (P = .0067) and patellar tendon autografts (P < .0001).

Discussion

This geographic cohort study provides valuable information with regard to the reported rate of second ACL injuries from a population of patients with acute-onset, isolated ACL tears. There were 76.4% of reported ACL tears that occurred from a noncontact mechanism, consistent with other reports.[4,14] This dataset continues to provide unique insight to the current, published epidemiological literature with regard to second ACL injuries in that it provides a purely geographic analysis that is not exclusive to incidence based on a particular hospital, subscribers to a particular health insurance company, or a community-based registry, as has been reported previously in the literature.[26,27,50] Thus, this dataset allows for improved generalizability of the epidemiological data to larger populations[47] with minimal financial or social bias. With the mean occurrence of ACL tears at 97.9 each year in this geographic cohort and the 2010 population of Olmsted County at 144,500, this equates to 67.8 ACL injuries per 100,000.[40] This number correlates well with that reported previously from the National Hospital Discharge Survey[28] and the reported 200,000 to 250,000 ACL injuries that occur in the United States,[20,35] which would equate to 64.7 to 80.8 ACL injuries per 100,000. This correlation to other datasets demonstrates the inference that this dataset can have to other geographic locales within the United States. The overall incidence of second ACL tears in our cohort of 13.8% does not agree with a study with a high 30% second injury rate,[21] but it does coincide with other previous reports.[39,54] The general consensus in the literature seems to denote rates between 10% and 20%,[36,39,43,54] whereas the report with the 30% second injury rate[21] may have been caused by a sampling error with the small sample size. Female sex by age in this cohort was predictive of a second ACL tear. Female patients aged ≤16 years were at a higher risk of second ACL injuries compared to their male counterparts (Table 2). However, the statistically significant age range for second ACL injuries was 17 to 25 years for female patients (P = .0101). In both sexes, the highest prevalence of second ACL injuries was between the ages of 17 and 25 years (Table 2). Based on the previous literature, the higher incidence of second injuries in young female patients may be based on unmodified risk factors that may have led to their primary ACL injury.[10,16-18,30] Side of injury and sex × side of injury were not predictive of second ACL injuries. Sex × activity level demonstrated a trend toward significance for female athletes versus their male counterparts in competitive-level sports (P = .0733). This is important because of the increased participation of female athletes in competitive- and high-level sports worldwide. Although activity level alone was not a statistically significant factor for the risk of second ACL injuries in this report, it should be noted that competitive-level activity increased the risk by 36% compared to recreational activity. Combined, these 2 aspects of activity level indicate that return-to-play criteria should be an important aspect of clinical evaluations, especially for young female athletes. Patients who were young and elected to not undergo surgical reconstruction were very likely to experience another ACL injury through age 25 years (Figure 1). This is likely because of the high level of activity in this age group, especially at the high school and college competitive level, as age and activity level were correlated. Additionally, the young athlete may not entirely understand the consequences of the primary ACL injury and the increased risk that is possible for a second injury after a primary injury.[34] Graft type selection correlated with both age group and activity level. Both activity level and age group were correlated, meaning that as age increased, patients were less involved at the competitive level and engaged in more sedentary activity. As age increased, there was a higher selection of both nonoperative therapy and allografts. This is expected, as activity level and appropriate activity modification can largely determine whether patients will deem both the cost and therapeutic time of surgical intervention necessary to participate in their desired activities of daily living. Of particular interest is the occurrence of second ACL injuries by graft type. The current data indicated that allografts had a higher failure rate than autografts (Table 3). Although we reported that patellar tendon autografts carried a higher risk of contralateral tears than allografts in the previous section, it should be acknowledged that the older population carried a bias toward allografts and had a lower activity level. Our current data could not clearly distinguish whether hamstring or patellar tendon autografts lowered the risk of second injuries. This dataset is heavily favored toward patellar tendon autografts, which predisposes more failures of patellar tendon autografts and thus may be biased to the incidence of these. However, similar to our previous report (1990-2000), allografts do carry higher failure rates than autografts. The overall probability of second injuries has decreased from our previous report (1990-2000) most likely because of improved surgical techniques with anatomic graft placement. Previous ACLRs were performed with a more “vertical” orientation to the reconstructed ligament. Modern techniques attempt to place the graft anatomically, placing the graft over the original footprint of the native ligament. Future epidemiological studies should continue to assess the outcomes of the various graft types and identify the optimal graft selection for improved patient outcomes. This current epidemiological report has many similarities and some differences to our previous epidemiological report on the incidence of second ACL injuries (1990-2000).[41] Both decades of data demonstrated a higher incidence of age-specific second injuries in a biphasic fashion for young female patients (aged ≤16-25 years) and older female patients (aged 40-60 years) (Figure 4). During the decade of life between 20 and 30 years (Tables 2 and 3), male patients had a trend toward significance for a high incidence of second ACL injuries. Although this trend was noted, we speculate as to whether it occurs because of the life demands of female patients during this particular time frame (ie, pregnancy, work/family balance), which would modify their activity level and lead to a decrease in competitive-level athletics for female patients. These data are critical, as 2 decades of data demonstrate that the incidence of second ACL injuries is highest for young female athletes, who already also have a high risk of primary ACL injuries compared to their male counterparts.[1,17] Even though male participation in sports continues to be higher than female participation, a recent survey demonstrated that the female athletic participation rate continue to increase at nearly double that of male athletic participation each decade.[32] With increasingly more female athletes involved in competitive-level sports, our 2 reports lead to high concern for the medical, financial, and societal burden of second ACL injuries with the debilitating sequelae of multiple ACL injuries, which include early-onset osteoarthritis, quadriceps atrophy, decrease in an active lifestyle, and modification of activities of daily living.[7]
Figure 4.

Age-specific incidence of second anterior cruciate ligament injuries in male and female patients. Data fit with a sixth-order polynomial.

Age-specific incidence of second anterior cruciate ligament injuries in male and female patients. Data fit with a sixth-order polynomial. An important strength of this study is the use of a large geographically defined database, but the data are limited to Olmsted County in southeast Minnesota. We acknowledge that we had a 24.7% loss to follow-up and that these second injury rates are best-case estimates. Additional strengths of the study include the reporting of sex, age, and activity level; chart-based verification; determination of associated injuries; and ability to account for all care provided. It should also be noted that the data reported here are strictly based on athletic trends in the United States. Populations in other countries may have different incidences of second ACL injuries based on their unique exposure to high-risk sports involving cutting, pivoting, and rapid deceleration. Future studies should continue to examine the trends of a second ACL injury over longer and more recent observation periods, as societal trends are likely to change. It is likely that the trends in ACL injuries will continue to change with improved surgical reconstruction techniques and rehabilitation protocols. We continue to promote research efforts that emphasize targeting prevention and outcome measures of high-risk groups, specifically activity modification, improved rehabilitation guidelines,[8,15,31,42] and use of integrative neuromuscular training,[8,29,42,49] to help athletes reduce the risk of second ACL injuries.[8,52] Our future research plans are to continue these analyses of the REP epidemiological data for the years 2011 to 2016 and report the incidence of both primary and secondary ACL injuries in this new cohort of patients. In addition, we will report trends observed in the REP data that follow changes in the approach to ACLR and graft type selection.

Conclusion

This population-based cohort of 1019 ACL injuries identified a 13.8% incidence of second ACL tears over a 10-year period, half of which occurred to the contralateral knee. Statistically, female patients younger than age 25 years and male patients aged 26 to 45 years were most likely to suffer a second ACL tear than the opposite sex. Allografts were associated with a higher risk of second ACL injuries compared to autografts. Nonoperative treatment carried more risk of contralateral second injuries than ACLR.
  52 in total

Review 1.  Anterior cruciate ligament injuries in female athletes: Part 1, mechanisms and risk factors.

Authors:  Timothy E Hewett; Gregory D Myer; Kevin R Ford
Journal:  Am J Sports Med       Date:  2006-02       Impact factor: 6.202

2.  Evaluation of Partial Transection versus Synovial Debridement of the ACL as Novel Canine Models for Management of ACL Injuries.

Authors:  Chantelle C Bozynski; Keiichi Kuroki; James P Stannard; Patrick A Smith; Aaron M Stoker; Cristi R Cook; James L Cook
Journal:  J Knee Surg       Date:  2015-01-30       Impact factor: 2.757

3.  Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Joshua J Pankratz; Scott M Brue; Walter A Rocca
Journal:  Int J Epidemiol       Date:  2012-11-18       Impact factor: 7.196

4.  Incidence and risk factors for graft rupture and contralateral rupture after anterior cruciate ligament reconstruction.

Authors:  Lucy Salmon; Vivianne Russell; Tim Musgrove; Leo Pinczewski; Kathryn Refshauge
Journal:  Arthroscopy       Date:  2005-08       Impact factor: 4.772

Review 5.  Mechanisms of post-traumatic osteoarthritis after ACL injury.

Authors:  David Dare; Scott Rodeo
Journal:  Curr Rheumatol Rep       Date:  2014-10       Impact factor: 4.592

6.  Incidence of Second Anterior Cruciate Ligament Tears (1990-2000) and Associated Factors in a Specific Geographic Locale.

Authors:  Nathan D Schilaty; Nathaniel A Bates; Thomas L Sanders; Aaron J Krych; Michael J Stuart; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2017-03-01       Impact factor: 6.202

7.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

Review 8.  Risk of Secondary Injury in Younger Athletes After Anterior Cruciate Ligament Reconstruction: A Systematic Review and Meta-analysis.

Authors:  Amelia J Wiggins; Ravi K Grandhi; Daniel K Schneider; Denver Stanfield; Kate E Webster; Gregory D Myer
Journal:  Am J Sports Med       Date:  2016-01-15       Impact factor: 6.202

Review 9.  Mechanisms, prediction, and prevention of ACL injuries: Cut risk with three sharpened and validated tools.

Authors:  Timothy E Hewett; Gregory D Myer; Kevin R Ford; Mark V Paterno; Carmen E Quatman
Journal:  J Orthop Res       Date:  2016-09-19       Impact factor: 3.494

10.  Adolescents and female patients are at increased risk for contralateral anterior cruciate ligament reconstruction: a cohort study from the Swedish National Knee Ligament Register based on 17,682 patients.

Authors:  Thorkell Snaebjörnsson; Eric Hamrin Senorski; David Sundemo; Eleonor Svantesson; Olof Westin; Volker Musahl; Eduard Alentorn-Geli; Kristian Samuelsson
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2017-03-15       Impact factor: 4.342

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  38 in total

1.  Sex Differences in Anatomic Features Linked to Anterior Cruciate Ligament Injuries During Skeletal Growth and Maturation.

Authors:  Shayan Hosseinzadeh; Ata M Kiapour
Journal:  Am J Sports Med       Date:  2020-07       Impact factor: 6.202

2.  Sex differences in passive and active stiffness of the knee flexor muscles during dynamic perturbation test: principal component analysis.

Authors:  Ryo Ueno; Takashi Nagai; Nathaniel A Bates; Timothy E Hewett; Nathan D Schilaty
Journal:  Somatosens Mot Res       Date:  2020-09-23       Impact factor: 1.111

Review 3.  Current Progress in Tendon and Ligament Tissue Engineering.

Authors:  Wei Lee Lim; Ling Ling Liau; Min Hwei Ng; Shiplu Roy Chowdhury; Jia Xian Law
Journal:  Tissue Eng Regen Med       Date:  2019-06-26       Impact factor: 4.169

4.  Frontal Plane Loading Characteristics of Medial Collateral Ligament Strain Concurrent With Anterior Cruciate Ligament Failure.

Authors:  Nathan D Schilaty; Nathaniel A Bates; Aaron J Krych; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2019-06-20       Impact factor: 6.202

5.  Linear Discriminant Analysis Successfully Predicts Knee Injury Outcome From Biomechanical Variables.

Authors:  Nathan D Schilaty; Nathaniel A Bates; Sydney Kruisselbrink; Aaron J Krych; Timothy E Hewett
Journal:  Am J Sports Med       Date:  2020-07-21       Impact factor: 6.202

6.  Analysis of Lower Extremity Proprioception for Anterior Cruciate Ligament Injury Prevention: Current Opinion.

Authors:  Takashi Nagai; Nathan D Schilaty; Jeffrey D Strauss; Eric M Crowley; Timothy E Hewett
Journal:  Sports Med       Date:  2018-06       Impact factor: 11.136

7.  Effect of a Concussion on Anterior Cruciate Ligament Injury Risk in a General Population.

Authors:  April L McPherson; Matthew B Shirley; Nathan D Schilaty; Dirk R Larson; Timothy E Hewett
Journal:  Sports Med       Date:  2020-06       Impact factor: 11.136

8.  Relative dearth of 'sex differences' research in sports medicine.

Authors:  Nathan D Schilaty; Nathaniel A Bates; Timothy E Hewett
Journal:  J Sci Med Sport       Date:  2017-11-03       Impact factor: 4.319

9.  Incidence of anterior cruciate ligament injury in a rural tertiary care hospital.

Authors:  Niharika Kochhal; Rahul Thakur; Vasant Gawande
Journal:  J Family Med Prim Care       Date:  2019-12-10

10.  ANALYSIS OF TIMING OF SECONDARY ACL INJURY IN PROFESSIONAL ATHLETES DOES NOT SUPPORT GAME TIMING OR SEASON TIMING AS A CONTRIBUTOR TO INJURY RISK.

Authors:  Jun Zhou; Nathan D Schilaty; Timothy E Hewett; Nathaniel A Bates
Journal:  Int J Sports Phys Ther       Date:  2020-04
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