Background: There are currently no well-established criteria to guide return to sports (RTS) after anterior cruciate ligament reconstruction (ACLR). In this study, a new test battery consisting of subjective and objective tests, especially multiplanar knee kinematics assessment, was developed to aid RTS decision making after ACLR.Methods: This study was conducted with 30 patients who were assessed a mean of 9.2 ± 0.5 months after ACLR. All patients underwent complete evaluations of both lower limbs with four objective assessments [isokinetic, hop, knee laxity, and 6-degree of freedom (6DOF, angle: flexion-extension, varus-valgus, internal-external rotation; translation: anteroposterior, proximodistal, mediolateral) knee kinematics tests] and two subjective assessments [International Knee Documentation Committee (IKDC) and Anterior Cruciate Ligament Return to Sport after Injury (ACL-RSI) questionnaires]. Limb symmetry indices (LSIs) of knee strength, hop distance, and range of motion (ROM) of knee kinematics were calculated. LSI ≥90%, IKDC scale score within the 15th percentile for healthy adults, and ACL-RSI score >56 were defined as RTS criteria.Results: Significant differences between affected and contralateral knees were observed in the quadriceps strength (p < 0.001), hamstring strength (p = 0.001), single hop distance (p < 0.001), triple hop distance (p < 0.001), and rotational ROM (p = 0.01). Only four patients fulfilled the overall RTS criteria. The percentages of patients fulfilling individual criteria were:
Purpose The aim of this study is to comprehensively analyze the publications of anterior cruciate ligament reconstruction (ACLR) research and display the current research status in this field. Methods Articles regarding ACLR research published before October 7, 2021, were downloaded from the Web of Science Core Collection. Excel 2016 and Bibliometric website were used to analyze the annual article trends and international cooperation network. CiteSpace V and VOSviewer were used to perform co-occurrence and citation analyses for journals, institutions, authors, cocitation authors and keywords. Burst keyword detection was also performed with CiteSpace V. Results A total of 12 223 ACLR articles were identified. The American Journal of Sports Medicine (1636 publications, 92,310 citations), the Pennsylvania Commonwealth System of Higher Education (624 publications, 25,304 citations) and Freddie H. Fu (321 publications, 15,245 citations) were journals, institutions and authors with the most publications and citations, respectively. Patellar tendon was the keyword with the most occurrences (1618 times) and return to sport was the keyword with the most burst strength (burst strength: 46.99). Conclusion ACLR-related publications showed a rapid increasing trend since 1990. A large number of articles have been published by authors from different institutions and countries, some of which have gained great academic influence. Based on keyword analysis, patellar tendon is identified as the research hotspot and return to sport is identified as the current research frontier.
Introduction: The return to sports (RTS) is a primary goal after anterior cruciate ligament reconstruction (ACLR) for most elite and non-elite athletes. The predictors and kinematic factors associated with the RTS are unclear. This study aimed to explore the predictors of RTS and the difference of knee kinematics between the RTS and non-RTS (nRTS) group in non-elite athletes. Methods This study was conducted with 41 non-elite athletes who underwent ACLR. The isokinetic test, single and triple hop tests, three-dimensional knee kinematics and the administration of two questionnaires [International Knee Documentation Committee (IKDC) and ACL-Return to Sport after Injury scale (ACL-RSI)] were conducted 6months after surgery. One year post-operatively, an interview and Tegner score were used to assign patients to RTS and nRTS groups. Multivariate logistic regression and receiver operating characteristic curve analyses were performed to identify the independent predictors of the RTS. Results Thirty (73%) patients were allocated to the RTS group and 11 (27%) were allocated to the nRTS group. Multivariate logistic regression showed that significant predictors of RTS (odds ratio/10-unit increase, P, cut-off value, sensitivity, specificity) were the single hop LSI (1.714, P = 0.004; 84.4%, 0.867, 0.818), IKDC (1.486, P = 0.015; 84.5, 0.867, 0.727), ACL-RSI (1.262, P = 0.016; 53.8, 0.833, 0.818) and quadriceps LSI (1.137, P = 0.012; 90.4%, 0.700, 0.818). Compared with the uninvolved limbs, the involved limbs in the nRTS group had larger external rotation angles at initial contact (IC; P = 0.019) and maximum (P < 0.001), smaller flexion angle at IC (P = 0.01) and greater anteroposterior translation (P = 0.05) in stance phase. In the RTS group, only the flexion-extension range of motion differed significantly between limbs (P < 0.001). Conclusions Single hop test LSI, IKDC score, ACL-RSI score and quadricep strength at 6 months after ACLR were related to a greater likelihood of nRTS at 1 year after surgery in non-elite athletes. The nRTS group also displayed more asymmetrical gait behavior.
Background Measurement of knee laxity after anterior cruciate ligament (ACL) injury is crucial for appropriate treatment and rehabilitation decision-making. This study examined the potential of a new digital arthrometer (Ligs, Innomotion, Shanghai, China) to quantify anterior tibial translation (ATT) in patients with ACL injuries and in healthy subjects. Methods A total of 60 participants included 30 subjects with single-leg ACL injuries and 30 healthy subjects included as controls. The lower leg was immobilized and a thrust under a dynamic load of 0–150 N was gradually applied posteriorly, with continuous displacement recorded. ATT and side-to-side differences (SSD) between the control and ACL injury groups were compared. Receiver operating characteristic (ROC) curves were analyzed, and the area under the curve (AUC) was calculated to determine the diagnostic accuracy of the Ligs. Results The interrater ICC was 0.909 and the intrarater ICC was 0.943. Significant differences in the SSD were observed between the control and ACL injury groups (for all P < 0.05), with the largest effect size (ES = 1.12) at 80 N. When comparing ATT at different loads between injured and healthy sides in the ACL injury group, displacement was statistically significant at different loads. At a load of 150 N, the AUC was the maximum (0.857) and the sensitivity and specificity were 0.87 and 0.73, respectively. Conclusions A digital arthrometer can be used as a quantitative instrument to quantify knee laxity. Quantitative measurement of ATT and SSD under controlled loading can be an objective and effective tool for clinical practice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.