scholarly journals What are the key elements of youth sports orthopaedics examination?

2019 ◽  
Vol 67 (3) ◽  
Keyword(s):  
At Risk ◽  
Risk Factor ◽  
Range Of Motion ◽  
Youth Sports ◽  
Growth Plates ◽  
Competitive Athletes ◽  
Hormone Influence

Young competitive athletes are particularly at risk during puberty. Growth plates and apophyses are reduced in their stability by hormone influence. Epiphyses can slip, apophyses can tear out. Therefore, a regular examination of those athletes is important. The examination should focus on muscular asymmetries, or reduced range of motion of a joint. Shortened muscles have to be recon as a risk factor for apophysitis. Dysbalances of the musculature are mainly found in the trunk area. Training plans should be adapted to the increased vulnerability.

Runners With Anterior Knee Pain Use a Greater Percentage of Their Available Pronation Range of Motion

2013 ◽  
Vol 29 (2) ◽  
pp. 141-146 ◽  
Author(s):  
Pedro Rodrigues ◽  
Trampas TenBroek ◽  
Joseph Hamill
Keyword(s):  
At Risk ◽  
Risk Factor ◽  
Range Of Motion ◽  
Motion Capture ◽  
Knee Pain ◽  
Anterior Knee Pain ◽  
System Dynamic ◽  
Motion Capture System ◽  
Alternative Method ◽  
Anterior Knee

“Excessive” pronation is often implicated as a risk factor for anterior knee pain (AKP). The amount deemed excessive is typically calculated using the means and standard deviations reported in the literature. However, when using this method, few studies find an association between pronation and AKP. An alternative method of defining excessive pronation is to use the joints’ available range of motion (ROM). The purposes of this study were to (1) evaluate pronation in the context of the joints’ ROM and (2) compare this method to traditional pronation variables in healthy and injured runners. Thirty-six runners (19 healthy, 17 AKP) had their passive pronation ROM measured using a custom-built device and a motion capture system. Dynamic pronation angles during running were captured and compared with the available ROM. In addition, traditional pronation variables were evaluated. No significant differences in traditional pronation variables were noted between healthy and injured runners. In contrast, injured runners used significantly more of their available ROM, maintaining a 4.21° eversion buffer, whereas healthy runners maintained a 7.25° buffer (P= .03, ES = 0.77). Defining excessive pronation in the context of the joints’ available ROM may be a better method of defining excessive pronation and distinguishing those at risk for injury.

scholarly journals Informing the public health response to COVID-19: a systematic review of risk factors for disease, severity, and mortality

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Flook ◽  
C. Jackson ◽  
E. Vasileiou ◽  
C. R. Simpson ◽  
M. D. Muckian ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Systematic Review ◽  
At Risk ◽  
Risk Factor ◽  
Disease Severity ◽  
Severe Disease ◽  
Public Health Response ◽  
Wide Range ◽  
Multivariable Analyses

Abstract Background Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2) has challenged public health agencies globally. In order to effectively target government responses, it is critical to identify the individuals most at risk of coronavirus disease-19 (COVID-19), developing severe clinical signs, and mortality. We undertook a systematic review of the literature to present the current status of scientific knowledge in these areas and describe the need for unified global approaches, moving forwards, as well as lessons learnt for future pandemics. Methods Medline, Embase and Global Health were searched to the end of April 2020, as well as the Web of Science. Search terms were specific to the SARS-CoV-2 virus and COVID-19. Comparative studies of risk factors from any setting, population group and in any language were included. Titles, abstracts and full texts were screened by two reviewers and extracted in duplicate into a standardised form. Data were extracted on risk factors for COVID-19 disease, severe disease, or death and were narratively and descriptively synthesised. Results One thousand two hundred and thirty-eight papers were identified post-deduplication. Thirty-three met our inclusion criteria, of which 26 were from China. Six assessed the risk of contracting the disease, 20 the risk of having severe disease and ten the risk of dying. Age, gender and co-morbidities were commonly assessed as risk factors. The weight of evidence showed increasing age to be associated with severe disease and mortality, and general comorbidities with mortality. Only seven studies presented multivariable analyses and power was generally limited. A wide range of definitions were used for disease severity. Conclusions The volume of literature generated in the short time since the appearance of SARS-CoV-2 has been considerable. Many studies have sought to document the risk factors for COVID-19 disease, disease severity and mortality; age was the only risk factor based on robust studies and with a consistent body of evidence. Mechanistic studies are required to understand why age is such an important risk factor. At the start of pandemics, large, standardised, studies that use multivariable analyses are urgently needed so that the populations most at risk can be rapidly protected. Registration This review was registered on PROSPERO as CRD42020177714.

Risk factors for glaucoma: what do they really mean?

2011 ◽  
Vol 17 (3) ◽  
pp. 233 ◽  
Author(s):  
Anthea Worley ◽  
Karen Grimmer-Somers
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Risk Factor ◽  
Health Care Providers ◽  
Management Strategies ◽  
Care Providers ◽  
Reference Guide ◽  
Future Assessment ◽  
Primary Health Care Providers ◽  
Patient’S History

Glaucoma is an insidious eye disease, potentially putting 4% of older Australians at risk of blindness, unless detected sufficiently early for initiation of effective treatment. This paper reports on the strengths of evidence and glaucoma risk factors that can be identified by primary health care providers from a patient’s history. A comprehensive search of peer-reviewed databases identified relevant secondary evidence published between 2002 and 2007. Risk factors that could be determined from a patient’s history were identified. A novel glaucoma risk factor reference guide was constructed according to evidence strength and level of concern regarding risk of developing glaucoma. The evidence is strong and consistent regarding the risk of developing glaucoma, and elevated intraocular pressure, advancing age, non-Caucasian ethnicity and family history of glaucoma. There is moderate evidence of association with glaucoma, and migraine, eye injury, myopia and long-term use of corticosteroids. There is conflicting evidence for living in a rural location, high blood pressure, diabetes and smoking. Early detection of people at risk of developing glaucoma can be initiated using our risk factor guide coupled with a comprehensive patient history. Timely future assessment and subsequent management strategies for at-risk individuals can then be effectively and efficiently actioned.

scholarly journals Low Body Mass Index Can Identify Majority of Osteoporotic Inflammatory Bowel Disease Patients Missed by Current Guidelines

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Ashish Atreja ◽  
Ashish Aggarwal ◽  
Angelo A. Licata ◽  
Bret A. Lashner
Keyword(s):  
Risk Factors ◽  
Inflammatory Bowel Disease ◽  
At Risk ◽  
Risk Factor ◽  
Risk Group ◽  
Low Bmi ◽  
Inflammatory Bowel ◽  
Provider Adherence ◽  
Not At Risk ◽  
Current Guidelines

Background. Patients with inflammatory bowel disease (IBD) are at high risk of developing osteoporosis. Our objective was to determine the usefulness of IBD guidelines in identifying patients at risk for developing osteoporosis.Methods. We utilized institutional repository to identify patients seen in IBD center and extracted data on demographics, disease history, conventional, and nonconventional risk factors for osteoporosis and Dual Energy X-ray Absorptiometry (DXA) findings.Results. 59% of patients (1004/1703) in our IBD cohort had at least one risk factor for osteoporosis screening. DXA was documented in 263 patients with indication of screening (provider adherence, 26.2%), and of these, 196 patients had DXA completed (“at-risk” group). Ninety-five patients not meeting guidelines-based risk factors also had DXA completed (“not at-risk” group). 139 (70.9%) patients in “at-risk” group had low BMD, while 51 (53.7%) of “not-at-risk” patients had low BMD. Majority of the patients with osteoporosis (83.3%) missed by the current guidelines had low BMI. Multivariate logistic regression analysis showed that low BMI was the strongest risk factor for osteoporosis (OR 3.07; 95% CI, 1.47–6.42;P=0.003).Conclusions. Provider adherence to current guidelines is suboptimal. Low BMI can identify majority of the patients with osteoporosis that are missed by current guidelines.

scholarly journals ESTIMATING VALUE-AT-RISK BASED ON NON-NORMAL DISTRIBUTIONS

2015 ◽  
Vol 3 ◽  
pp. 188-195 ◽  
Author(s):  
Mária Bohdalová ◽  
Michal Greguš
Keyword(s):  
At Risk ◽  
Risk Factor ◽  
Value At Risk ◽  
Likelihood Method ◽  
Normal Distributions ◽  
Confidence Levels ◽  
Portfolio Returns ◽  
Distribution Parameters ◽  
Financial Portfolios ◽  
Daily Changes

The article presents a comparative study of parametric linear value-at-risk (VaR) models used for estimating the risk of financial portfolios. We illustrate how to adjust VaR for auto-correlation in portfolio returns. The article presents static and dynamic methodology to compute VaR, based on the assumption that daily changes are independent and identically distributed (normal or non-normal) or auto-correlated in terms of the risk factor dynamics. We estimate the parametric linear VaR over a risk horizon of 1 day and 10 days at 99% and 95% confidence levels for the same data. We compare the parametric VaR and a VaR obtained using Monte Carlo simulations with historical simulations and use the maximum likelihood method to calibrate the distribution parameters of our risk factors. The study investigated whether the parametric linear VaR applies to contemporary risk factor analysis and pertained to selected foreign rates.

Differences Between APOE Carriers and Non-APOE Carriers on Neurocognitive Tests: Jensen Effects?

2018 ◽  
Vol 33 (6) ◽  
pp. 353-361 ◽  
Author(s):  
Jan te Nijenhuis ◽  
Kyu Yeong Choi ◽  
Yu Yong Choi ◽  
Jang Jae Lee ◽  
Eun Hyun Seo ◽  
...  
Keyword(s):  
Older Adults ◽  
At Risk ◽  
Risk Factor ◽  
Apolipoprotein E ◽  
Test Scores ◽  
General Intelligence ◽  
Apoe Ε4 ◽  
Neurocognitive Tests ◽  
Ε4 Allele ◽  
The Difference

Background: Being a carrier of the apolipoprotein E (APOE) ε4 allele is a clear risk factor for development of Alzheimer’s disease (AD). On some neurocognitive tests, there are smaller differences between carriers and noncarriers, while other tests show larger differences. Aims: We explore whether the size of the difference between carriers and noncarriers is a function of how well the tests measure general intelligence, so whether there are Jensen effects. Methods: We used the method of correlated vectors on 441 Korean older adults at risk for AD and 44 with AD. Results: Correlations between APOE carriership and test scores ranged from −.05 to .11 (normal), and −.23 to .54 (AD). The differences between carriers and noncarriers were Jensen effects: r = .31 and r = .54, respectively. Conclusion: A composite neurocognitive score may show a clearer contrast between APOE carriers and noncarriers than a large number of scores of single neurocognitive tests.

Evaluation of Predictive Factors in Patients with Nonalcoholic Fatty Liver Disease after Pancreaticoduodenectomy

2014 ◽  
Vol 80 (5) ◽  
pp. 500-504 ◽  
Author(s):  
Yasuhiro Ito ◽  
Takeshi Kenmochi ◽  
Shintaro Shibutani ◽  
Tomohisa Egawa ◽  
Shinobu Hayashi ◽  
...  
Keyword(s):  
At Risk ◽  
Risk Factor ◽  
Liver Disease ◽  
Blood Loss ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Pancreatic Head ◽  
Nonalcoholic Fatty Liver ◽  
Endocrine Insufficiency

Patients who undergo pancreaticoduodenectomy (PD) are at risk of steatosis because resection of the pancreatic head causes pancreatic exocrine and endocrine insufficiency. We investigated the clinicopathological features and the risk factors of nonalcoholic fatty liver disease (NAFLD) after PD. This was a retrospective study of 100 patients who underwent PD between April 2007 and December 2012 in our institution. Preoperative demographic and clinical data, surgical procedures, pathological diagnosis, postoperative course findings, and complication details were collected prospectively. The patients were divided into the following two groups: Group A consisted of 12 patients who developed postoperative NAFLD, and Group B consisted of 88 patients who did not develop postoperative NAFLD. Pancreatic carcinoma and pancreatic texture showed similar findings. Additionally, we found that blood loss significantly correlated with the incidence of nonalcoholic steatohepatitis after PD. In multivariate analysis, only blood loss was identified as the most influential risk factor for NAFLD (hazard ratio, 1.0001; P = 0.016). Blood loss was identified as an independent risk factor for the development of NAFLD after PD. Further prospective studies are needed to identify factors that put patients at risk for NAFLD after PD. Continuing efforts should be made to improve patient outcomes and understand the pathogenesis of postpancreatectomy NASH.

Sign in / Sign up

Export Citation Format

Share Document