scholarly journals Propensity for conscious control of movement is unrelated to asymptomatic hypermobility or injury-risk scores

2021 ◽  
Vol 5 (1) ◽  
2012 ◽  
Vol 3 (4) ◽  
pp. 278 ◽  
Author(s):  
Xue-zhong Xing ◽  
Hai-jun Wang ◽  
Chu-lin Huang ◽  
Quan-hui Yang ◽  
Shi-ning Qu ◽  
...  

2019 ◽  
Vol 7 (3_suppl) ◽  
pp. 2325967119S0012
Author(s):  
Sean Higinbotham ◽  
Ryan S. Wexler ◽  
Danny Blake ◽  
Carlie Harrison ◽  
Justin Hollenbeck ◽  
...  

Background: Scientific studies have shown female soccer athletes to be 3 times more likely to injure their anterior cruciate ligament (ACL) than their male counterparts and the majority of these injuries are from a non-contact mechanism. The biomechanical factors of this phenomenon have been extensively studied in a laboratory-based setting, but there has been little progress in reducing the incidence of ACL injury in young female athletes. It is plausible, therefore, to suggest that the biomechanical improvements noted in a laboratory-based setting do not directly translate to a field-based setting. Preventive neuromuscular training programs are typically field-based and have been shown to be an effective intervention for reducing ACL injury risk by improving dynamic, frontal-plane knee stability. However, these programs are time consuming and prone to compliance and implementation issues. For these reasons, researchers have attempted to identify the minimum viable training program or wearable device that can be studied in the field using video cameras to determine their influence on movement-related risk factors for ACL injury. Purpose: The aim of this study was to evaluate the effectiveness of a wearable neuromuscular device (WND) with or without the addition of a field-based, preventive neuromuscular training program on jump-landing risk assessment in young female soccer athletes. Methods: Thirty-nine female soccer players (161.0 +/- 6.6 cm; 49.4 kg +/- 5.9; 13.3 +/- 0.5 y) from two different teams in a local soccer club volunteered to participate in this study. Team 1 (n = 25) performed a 6-week, field-based NMT program while wearing a WND. The NMT was instructed by a trained exercise specialist. The NMT program was divided into three, two-week blocks of progressively increasing levels of exercise complexity and intensity focused on improving the strength and activation behavior of the trunk, hip and thigh muscles. Field-based movement testing was performed in the first week before training began (pre-test) and in the seventh week upon completion of the NMT program (post-test). During testing video cameras recorded a jump-landing task in the frontal and sagittal planes. The Landing Error Scoring System (LESS) and a novel version of the LESS (LESS-RMC) was used to asses movement quality related to ACL injury risk. Team 2 (n=14) wore the WND for an equal amount of athletic exposures over 7 weeks but did not perform the NMT program. Four different raters were recruited to visually score all jump landing trials using the two different rating protocols during the pre-test and post-test. For each visual assessment (LESS & LESS-RMC) a repeated measures ANOVA was conducted to explore within group (test) and between group (team) differences. Results: Repeated measure ANOVA results for the LESS score scale indicated a significant within factor difference in pretest and post test scores F(7.398, 27.533) = 8.598, P < 0.05. Pretest scores for team 1 (6.18 +/- 1.68) and team 2 (6.95 +/- 0.94) both saw a significant reduction in ACL risk scores to 5.44 +/- 1.70 and 6.31 +/- 1.75, respectively. ANOVA results for the LESS-RMC scale also indicated a significant within factor difference in pretest and posttests F(6.756, 35.624) = 6.069, p < 0.05. Pretest scores for Team 1 (6.02 +/- 1.99) and Team 2 (6.49 +/- 1.33) both saw a significant reduction in ACL risk scores to 5.10 +/- 1.77 and 6.09 +/- 1.50, respectively. ANOVA results revealed no significant differences between team scores for the LESS (F(0.031,27.533) = 0.036, p > 0.05) or LESS-RMC (F(1.053,35.624) = .946, p > 0.05) scales. Conclusion: The results reveal that the NMT program utilized in this study had no statistically significant additive effect on the visual risk assessment scores for Team 1 compared to Team 2, who had no NMT intervention and only wore the WND. Collectively, these results suggest that simply wearing a WND during 6 weeks of practice may be a less evasive and cheaper alternative to a NMT program.


2020 ◽  
Vol 10 (3) ◽  
pp. 162-174
Author(s):  
Levent Serif ◽  
George Chalikias ◽  
Matthaios Didagelos ◽  
Dimitrios Stakos ◽  
Petros Kikas ◽  
...  

Introduction: Contrast-induced acute kidney injury (CI-AKI) is a frequent complication of percutaneous coronary interventions (PCI). Various groups have developed and validated risk scores for CI-AKI. Although the majority of these risk scores achieve an adequate accuracy, their usability in clinical practice is limited and greatly debated. Objective: With the present study, we aimed to prospectively assess the diagnostic performance of recently published CI-AKI risk scores (up to 2018) in a cohort of patients undergoing PCI. Methods: We enrolled 1,247 consecutive patients (80% men, mean age 62 ± 10 years) treated with elective or urgent PCI. For each patient, we calculated the individual CI-AKI risk score based on 17 different risk models. CI-AKI was defined as an increase of ≥25% (liberal) or ≥0.5 mg/dL (strict) in pre-PCI serum creatinine 48 h after PCI. Results: CI-AKI definition and, therefore, CI-AKI incidence have a significant impact on risk model performance (median negative predictive value increased from 85 to 99%; median c-statistic increased from 0.516 to 0.603 using more strict definition criteria). All of the 17 published models were characterized by a weak-to-moderate discriminating ability mainly based on the identification of “true-negative” cases (median positive predictive value 19% with liberal criterion and 3% with strict criterion). In none of the models, c-statistic was >0.800 with either CI-AKI definition. Novel, different combinations of the >35 independent variables used in the published models either by down- or by up-scaling did not result in significant improvement in predictive performance. Conclusions: The predictive ability of all models was similar and only modest, derived mainly by identifying true-negative cases. A new approach is probably needed by adding novel markers or periprocedural characteristics.


Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 651
Author(s):  
Alice Monzani ◽  
Ilaria Crespi ◽  
Giulia Genoni ◽  
Alberto Edefonti ◽  
Giovanni Montini ◽  
...  

Background: Kidney function in preterm newborns may be impaired by many factors. Methods: 71 newborns with gestational age (GA) < 32 weeks were enrolled. Serum creatinine (sCr), cystatin C (CysC), beta-trace protein (BTP) and urea were measured at T0 (3rd day of life) and T36 (GA 36 weeks), and estimated glomerular filtration rate (eGFR) was calculated according to different formulas at T36. Pre-natal and post-natal kidney injury risk scores were calculated. Results: Newborns with GA ≤ 28 weeks had higher sCr at T0, and lower sCr, BTP and higher urea levels at T36 (p = 0.007, p = 0.005 and p = 0.029, respectively). eGFR values were not different according to GA when calculated by the formulas using only CysC, but were higher in subjects with GA ≤ 28 weeks according to the other formulas. The post-natal score was positively correlated with eGFR according to sCr-based formulas, but the correlations did not persist when adjusted for urea levels and GA. Conclusions: CysC-based eGFR values are not influenced by GA. Post-natal score shows a direct correlation with eGFR according to sCr-based formulas, not persisting after adjustment for GA and urea levels, implying the importance of the nutritional status, since more premature subjects receive a more aggressive nutritional regimen, testified by higher urea levels.


2020 ◽  
Vol 9 (3) ◽  
pp. 678 ◽  
Author(s):  
Joana Gameiro ◽  
Tiago Branco ◽  
José António Lopes

Acute kidney injury (AKI) is a frequent complication in hospitalized patients, which is associated with worse short and long-term outcomes. It is crucial to develop methods to identify patients at risk for AKI and to diagnose subclinical AKI in order to improve patient outcomes. The advances in clinical informatics and the increasing availability of electronic medical records have allowed for the development of artificial intelligence predictive models of risk estimation in AKI. In this review, we discussed the progress of AKI risk prediction from risk scores to electronic alerts to machine learning methods.


1999 ◽  
Vol 4 (5) ◽  
pp. 4-7 ◽  
Author(s):  
Laura Welch

Abstract Functional capacity evaluations (FCEs) have become an important component of disability evaluation during the past 10 years to assess an individual's ability to perform the essential or specific functions of a job, both preplacement and during rehabilitation. Evaluating both job performance and physical ability is a complex assessment, and some practitioners are not yet certain that an FCE can achieve these goals. An FCE is useful only if it predicts job performance, and factors that should be assessed include overall performance; consistency of performance across similar areas of the FCE; consistency between observed behaviors during the FCE and limitations or abilities reported by the worker; objective changes (eg, blood pressure and pulse) that are appropriate relative to performance; external factors (illness, lack of sleep, or medication); and a coefficient of variation that can be measured and assessed. FCEs can identify specific movement patterns or weaknesses; measure improvement during rehabilitation; identify a specific limitation that is amenable to accommodation; and identify a worker who appears to be providing a submaximal effort. FCEs are less reliable at predicting injury risk; they cannot tell us much about endurance over a time period longer than the time required for the FCE; and the FCE may measure simple muscular functions when the job requires more complex ones.


2013 ◽  
Author(s):  
Bryan T. Karazsia ◽  
Keri J. Brown Kirschman

1996 ◽  
Vol 76 (05) ◽  
pp. 682-688 ◽  
Author(s):  
Jos P J Wester ◽  
Harold W de Valk ◽  
Karel H Nieuwenhuis ◽  
Catherine B Brouwer ◽  
Yolanda van der Graaf ◽  
...  

Summary Objective: Identification of risk factors for bleeding and prospective evaluation of two bleeding risk scores in the treatment of acute venous thromboembolism. Design: Secondary analysis of a prospective, randomized, assessor-blind, multicenter clinical trial. Setting: One university and 2 regional teaching hospitals. Patients: 188 patients treated with heparin or danaparoid for acute venous thromboembolism. Measurements: The presenting clinical features, the doses of the drugs, and the anticoagulant responses were analyzed using univariate and multivariate logistic regression analysis in order to evaluate prognostic factors for bleeding. In addition, the recently developed Utrecht bleeding risk score and Landefeld bleeding risk index were evaluated prospectively. Results: Major bleeding occurred in 4 patients (2.1%) and minor bleeding in 101 patients (53.7%). For all (major and minor combined) bleeding, body surface area ≤2 m2 (odds ratio 2.3, 95% Cl 1.2-4.4; p = 0.01), and malignancy (odds ratio 2.4, 95% Cl 1.1-4.9; p = 0.02) were confirmed to be independent risk factors. An increased treatment-related risk of bleeding was observed in patients treated with high doses of heparin, independent of the concomitant activated partial thromboplastin time ratios. Both bleeding risk scores had low diagnostic value for bleeding in this sample of mainly minor bleeders. Conclusions: A small body surface area and malignancy were associated with a higher frequency of bleeding. The bleeding risk scores merely offer the clinician a general estimation of the risk of bleeding. In patients with a small body surface area or in patients with malignancy, it may be of interest to study whether limited dose reduction of the anticoagulant drug may cause less bleeding without affecting efficacy.


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