The associations between finger length pattern, osteoarthritis, and knee injury: Data from the Framingham community cohort

Knee trauma can lead to poor health-related quality of life (HRQoL) and osteoarthritis. We aimed to assess HRQoL 3–12 years following youth sport-related knee injury considering HRQoL and osteoarthritis determinants. Generic (EQ-5D-5L index, EQ-VAS) and condition-specific (Knee injury and Osteoarthritis Outcome Score quality of life subscale, KOOS QOL) HRQoL were assessed in 124 individuals 3–12 years following youth sport-related knee injury and 129 uninjured controls of similar age, sex, and sport. Linear regression examined differences in HRQoL outcomes by injury group. Multivariable linear regression explored the influence of sex, time-since-injury, injury type, body mass index, knee muscle strength, Intermittent and Constant Osteoarthritis Pain (ICOAP) score, and Godin Leisure-Time Exercise Questionnaire (GLTEQ) moderate-to-strenuous physical activity. Participant median (range) age was 23 years (14–29) and 55% were female. Injury history was associated with poorer KOOS QOL (−8.41; 95%CI −10.76, −6.06) but not EQ-5D-5L (−0.0074; −0.0238, 0.0089) or EQ-VAS (−3.82; −8.77, 1.14). Injury history (−5.14; −6.90, −3.38), worse ICOAP score (−0.40; −0.45, −0.36), and anterior cruciate ligament tear (−1.41; −2.77, −0.06) contributed to poorer KOOS QOL. Worse ICOAP score contributed to poorer EQ-5D-5L (−0.0024; −0.0034, −0.0015) and higher GLTEQ moderate-to-strenuous physical activity to better EQ-VAS (0.10; 0.03, 0.17). Knee trauma is associated with poorer condition-specific but not generic HRQoL 3–12 years post-injury.

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Battery-Related Injuries in Children and Adults

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641405 ◽

2020 ◽

Vol 64 (1) ◽

pp. 1665-1670

Author(s):

Jacqueline Zimmermann ◽

Danielle King ◽

Caroline Crump

Keyword(s):

Emergency Room ◽

Surveillance System ◽

Rechargeable Batteries ◽

Injury Surveillance ◽

Consumer Product ◽

Age Group ◽

Injury Surveillance System ◽

Probability Sample ◽

Injury Data ◽

Button Cell

The aim of the current study was to analyze the circumstances behind battery injuries, including the mode of injuries experienced (e.g., a shock or consumption), as well as the battery types and products most frequently involved in battery injuries. The National Electronic Injury Surveillance System (NEISS), a probability sample of US hospitals that collects information from emergency room (ER) visits related to a consumer product, was utilized. Injury data from the NEISS database was coded to identify a) the accident mode that led to the injury, b) the battery type involved, and c) the product that was powered by the battery or charger, if available. The data revealed that battery-related injuries were most often associated with (1) children consuming button cell batteries associated with toys and other household objects, and (2) adults becoming burned when handling vehicle batteries. Surprisingly, injuries associated with rechargeable batteries were the least frequent; however, when burns occurred, they were predominantly related to e- cigarettes, as well as vehicles. Results are discussed in terms of general exposure to specific battery types and products analyzing these battery types within each age group.

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An Investigation of Knee Injury Profiles among Iranian Elite Karatekas: Observations from a Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18136888 ◽

2021 ◽

Vol 18 (13) ◽

pp. 6888

Author(s):

Hamidreza Naserpour ◽

Julien S. Baker ◽

Amir Letafatkar ◽

Giacomo Rossettini ◽

Frédéric Dutheil

Keyword(s):

Knee Injury ◽

Cruciate Ligament ◽

Knee Injuries ◽

Cross Sectional Study ◽

Lower Extremity Injury ◽

Sectional Study ◽

Positive Health ◽

Sports Activity ◽

Cross Sectional ◽

National Team

Karate training, despite the many positive health benefits, carries a risk of injury for participants. The current cross-sectional study aimed to investigate knee injury profiles among Iranian elite karatekas. Participants who attended the national team qualifiers, which included 390 male Kumite karatekas (age 24 ± 3 years old and weight 63 ± 12 kg), participated in this study. Information on knee injuries (injury history, type of injury mechanisms, and effects of knee symptoms on the ability to perform daily activities and recreational activities) were obtained using the Knee Outcome Survey (KOS). Using Pearson’s correlation coefficient, the study examined the relationships between different variables, including KOS subscales and levels of self-reported knee joint function. Our findings indicated that 287 karatekas (73.6%) experienced knee injuries. The anterior cruciate ligament (ACL) rupture (6.9%), articular cartilage (5.4%), and meniscus damage (3.8%) were the main typology of injury. In addition, there were no differences in knee injuries between the non-dominant and dominant legs. Most injuries occurred during the preparatory period (n = 162, 50%), especially during training periods. The KOS subscales scores (Mean ± Sd) for activities of daily living (ADL) and sports activity (SAS) were, respectively, 89 ± 11 and 91 ± 9. The self-reported scores for both the ADL and SAS subscales were, respectively, 89 ± 11 and 90 ± 10. Pearson coefficients of ADL and SAS subscales with their self-reported score were r = 0.761 (p < 0.0001) and r = 0.782 and (p < 0.0001), respectively. The profile of knee injuries in the current investigation is similar to previous surveys that reported lower extremity injury patterns. The findings of this study could be adopted to inform practice aimed at planning interventions for the reduction and prevention of knee injuries among karatekas.

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Distal posterolateral corner injury in the setting of multiligament knee injury increases risk of common peroneal palsy

Knee Surgery Sports Traumatology Arthroscopy ◽

10.1007/s00167-021-06469-z ◽

2021 ◽

Author(s):

Anthony A. Essilfie ◽

Erin F. Alaia ◽

David A. Bloom ◽

Eoghan T. Hurley ◽

Michael Doran ◽

...

Keyword(s):

Knee Injury ◽

Posterolateral Corner ◽

Peroneal Palsy ◽

Multiligament Knee Injury ◽

Posterolateral Corner Injury

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Knee Injury Diagnostic Device

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) ◽

10.1109/uemcon51285.2020.9298081 ◽

2020 ◽

Author(s):

Julie E. McKenna ◽

Tyler R. Hopkins ◽

Lucas T. Lavallee ◽

Douglas E. Dow

Keyword(s):

Knee Injury ◽

Diagnostic Device

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Mapping EQ-5D-3L from the Knee Injury and Osteoarthritis Outcome Score (KOOS)

Quality of Life Research ◽

10.1007/s11136-019-02303-9 ◽

2019 ◽

Vol 29 (1) ◽

pp. 265-274

Author(s):

Ali Kiadaliri ◽

Monica Hernández Alava ◽

Ewa M. Roos ◽

Martin Englund

Keyword(s):

Disease Severity ◽

Knee Injury ◽

Cruciate Ligament ◽

Simulated Data ◽

Probit Model ◽

Original Data ◽

Cost Utility ◽

Superior Performance ◽

Outcome Score ◽

Mapping Models

Abstract Purpose To develop a mapping model to estimate EQ-5D-3L from the Knee Injury and Osteoarthritis Outcome Score (KOOS). Methods The responses to EQ-5D-3L and KOOS questionnaires (n = 40,459 observations) were obtained from the Swedish National anterior cruciate ligament (ACL) Register for patients ≥ 18 years with the knee ACL injury. We used linear regression (LR) and beta-mixture (BM) for direct mapping and the generalized ordered probit model for response mapping (RM). We compared the distribution of the original data to the distributions of the data generated using the estimated models. Results Models with individual KOOS subscales performed better than those with the average of KOOS subscale scores (KOOS5, KOOS4). LR had the poorest performance overall and across the range of disease severity particularly at the extremes of the distribution of severity. Compared with the RM, the BM performed better across the entire range of disease severity except the most severe range (KOOS5 < 25). Moving from the most to the least disease severity was associated with 0.785 gain in the observed EQ-5D-3L. The corresponding value was 0.743, 0.772 and 0.782 for LR, BM and RM, respectively. LR generated simulated EQ-5D-3L values outside the feasible range. The distribution of simulated data generated from the BM model was almost identical to the original data. Conclusions We developed mapping models to estimate EQ-5D-3L from KOOS facilitating application of KOOS in cost-utility analyses. The BM showed superior performance for estimating EQ-5D-3L from KOOS. Further validation of the estimated models in different independent samples is warranted.

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