scholarly journals Risk factor for elbow symptom manifestation in young baseball players with asymptomatic medial elbow abnormalities: a prospective cohort study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hitoshi Shitara ◽  
Tsuyoshi Tajika ◽  
Takuro Kuboi ◽  
Tsuyoshi Ichinose ◽  
Tsuyoshi Sasaki ◽  
...  
Keyword(s):  
Risk Factor ◽  
Internal Rotation ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Asymptomatic Group ◽  
Baseball Players ◽  
Significant Independent Risk Factor ◽  
Rotation Strength ◽  
Univariate Analyses ◽  
Symptom Manifestation

AbstractAsymptomatic elbow abnormalities are relatively common in young baseball players, but the factors responsible are unclear. To prospectively identify risk factors related to symptom manifestation in asymptomatic elbow abnormalities, we recruited 573 baseball players (age: 7–14 years) at a pre-participation medical/physical examination in the preseason who were right-handed and had asymptomatic medial elbow abnormalities on ultrasound (US). Baseline preseason and postseason participant characteristics were assessed. A “symptomatic” elbow was defined as an elbow with medial elbow joint problems that prevented ball throwing for ≥ 8 days. After exclusions, 82 players were enrolled, of whom 22 (26.8%) developed a symptomatic elbow. In univariate analyses, the external and internal rotation strengths of the dominant shoulder were significantly greater in the symptomatic group than in the asymptomatic group (P = 0.021). Multivariate logistic regression analysis showed that the internal rotation strength of the dominant shoulder was a significant independent risk factor (odds ratio = 1.091, P = 0.027) for developing a symptomatic elbow. In young asymptomatic baseball players with abnormalities in the medial elbow region of the dominant arm on US, stronger preseason internal rotation strength of the dominant shoulder was a significant independent risk factor for the development of a “symptomatic” elbow.

scholarly journals A Prospective Injury Surveillance Study on Ski Touring

2019 ◽  
Vol 7 (9) ◽  
pp. 232596711986767 ◽  
Author(s):  
Taina Mueller ◽  
Gerhard Ruedl ◽  
Matthaeus Ernstbrunner ◽  
Fabian Plachel ◽  
Stefan Fröhlich ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Soft Tissue ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Injury Rate ◽  
Injury Surveillance ◽  
Surveillance Study ◽  
Injury Rates ◽  
Significant Independent Risk Factor

Background: Ski touring is an outdoor sport with growing popularity in alpine countries. Information about injuries in ski touring is limited. Purpose: To determine injury rates, mechanisms, causes, and risk factors in ski touring. Study Design: Descriptive epidemiology study. Methods: Between November 2015 and May 2016, a total of 191 participants from the Alps region were prospectively tracked via personalized online questionnaires. Injury rates were calculated per 1000 hours of sports exposure. Risk factors were assessed per multivariate logistic regression analysis. Results: A total of 3900 ski tours were performed, with 10,955 hours and 4,108,503 m in height ascension (uphill) recorded. The overall injury rate was 2.5 injuries per 1000 hours of ski touring. A total of 27 injury-events were reported, of which 18 (67%) were classified as mild, 7 (26%) as moderate, and 2 (7%) as severe. Hands (28%) and knees (16%) were the most commonly involved anatomic regions. Most injuries were limited to the soft tissue, such as bruises (31%) and abrasions (18%). Significantly more injuries happened during the descent (n = 17; 63%) than during the ascent (n = 6; 22%) (odds ratio, 5.96; P = .004), while poor weather conditions, icy surface, and inattentiveness were the most often reported reasons for injury. Sidecountry ski touring was identified as the only significant independent risk factor for injury ( P < .001). Conclusion: In this prospective injury surveillance study, the majority of ski touring injuries were mild and limited to the soft tissue. Ski touring injuries were more likely to happen during the descent of a tour, and sidecountry ski touring was the only significant independent risk factor for injury. Bad weather, icy surface, and inattentiveness were found to be the leading causes for an injury-event in this study.

Risk Factors for Aortic Valve Calcification in Patients on Regular Hemodialysis

2009 ◽  
Vol 32 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Dejan Petrović ◽  
Radmila Obrenović ◽  
Biljana Stojimirović
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Valve ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Aortic Valve Calcification ◽  
Valve Calcification ◽  
Regular Hemodialysis

Introduction Aortic valve calcification (AVC) accelerates development of aortic valve stenosis and cardiovascular complications. Hyperphosphatemia is one of the key risk factors for aortic valve calcification. Aim The aim of this study was to evaluate the prevalence of AVC in patients on regular hemodialysis and to assess the impact of different factors on its appearance. Method: The study investigated a total of 115 patients treated in the Hemodialysis Department of the Urology and Nephrology Clinic at the Kragujevac Clinical Center in Serbia. The variables investigated were: serum albumin, C-reactive protein (CRP), homocysteine, total cholesterol, LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), triglycerides (TG), Apolipoprotein A-I (Apo A-I), Apolipoprotein B (Apo B) and lipoprotein (a), calcium, phosphate and parathormone, and calcium-phosphorus product (Ca × P). Patients were evaluated by echocardiography for AVC. Statistical analysis included univariate and multivariate logistic regression analysis. Results Univariate regression analysis showed that serum phosphate levels and Ca × P are the most important risk factors for AVC (p<0.001). Multivariate logistic regression analysis revealed that hyperphosphatemia is an independent risk factor for AVC (p<0.001). Conclusion Hyperphosphatemia is an independent risk factor for aortic valve calcification.

Plasma Retinol Binding Protein 4 as a Biomarker for Detecting Progressive Stroke and Prediction of Early Prognosis in Patients with Acute Ischemic Stroke

2021 ◽  
Vol 18 ◽  
Author(s):  
Shuqiong Liu ◽  
Jiande Li ◽  
Xiaoming Rong ◽  
Yingmei Wei ◽  
Ying Peng ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Independent Risk Factor ◽  
Binding Protein ◽  
Multivariate Logistic Regression Analysis ◽  
Retinol Binding Protein ◽  
Retinol Binding Protein 4 ◽  
Treatment Measures ◽  
Plasma Retinol

Aim and purpose: Progressive stroke (PS) lacks effective treatment measures and leads to serious disability or death. Retinol binding protein 4 (RBP4) could be closely associated with acute ischemic stroke(AIS). We aimed to explore plasma RBP4 as a biomarker for detecting the progression in patients with AIS. Methods: Participants of this retrospective study were 234 patients with AIS within the 48 h onset of disease. The primary endpoint was to ascertain if there was PS through the National Institute of Health stroke scale (NIHSS), early prognosis was confirmed through the modified Rankin scale score (mRS) at discharge or 14 days after the onset of stroke, and determine the significance of demographic characteristics and clinical data . Results: In this study, 43 of 234 patients demonstrated PS. . The level of plasma RBP4 in patients with progressive stroke was significantly lower (29 mg/L, 22.60－40.38 mg/L) than that without progression (38.70 mg/L, 27.28－46.40 mg/L, P = 0.003). In patients with lower plasma RBP4, he proportion of patients with progression (c2 = 9.63, P = 0.008) and with mRS scores ≥2 (c2 = 6.73, P = 0.035) were significantly higher Multivariate logistic regression analysis showed that a lower RBP4 level on admission was an independent risk factor for progressive stroke during hospitalization with an OR value of 2.70 (P = 0.03, 95% CI: 1.12－6.52). Conclusion: A low plasma RBP4 level on admission could be an independent risk factor of PS during hospitalization.

scholarly journals The Predictive Role of Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio on Intensive Care Unit Admission and Mortality of COVID-19 Patients in Iran

2021 ◽  
Author(s):  
Peiman Foroughi ◽  
Mojtaba Varshochi ◽  
Mehdi Hassanpour ◽  
Meisam Amini ◽  
Behnam Amini ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Risk Factor ◽  
Intensive Care ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Neutrophil To Lymphocyte Ratio ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Icu Admission ◽  
Inflammatory Index

Abstract Since the outbreak of COVID-19 several studies conducted to identify predictive factors which are associated with prognosis of COVID-19. In this study we aimed to determine whether the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) could help the clinicians to predict intensive care unit (ICU) admission and mortality of COVID-19 patients. This retrospective cohort study involved examining the medical records of 311 Iranian COVID-19 patients from 22 July 2020 to 22 August 2020. All characteristic data and laboratory results were recorded. The receiver operating characteristic (ROC) curve was used to identify the predictive value of studied parameters for ICU admission and death. Comparison of data revealed that some factors were jointly higher in non-survivors and ICU admitted patients than survivors and non-ICU admitted patients, such as: age, hemoglobin (HB), NLR, derived neutrophil-to-lymphocyte ratio (dNLR), PLR, systemic inflammatory index (SII), lactate dehydrogenase (LDH), Respiratory diseases, ischemic heart disease (IHD). Multivariate logistic regression analysis showed that only hypertension (OR 3.18, P=0.02) is an independent risk factor of death in COVID-19 patients, and also PLR (OR 1.02, P=0.05), hypertension (OR 4.00, P=0.002) and IHD (OR 5.15, P=0.008) were independent risk factor of ICU admission in COVID-19 patients. This study revealed that the NLR, PLR, platelet-to-white blood Cell ratio (PWR), dNLR and SII are valuable factors for predicting ICU admission and mortality of COVID-19 patients.

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