Objective To describe the incidence of injuries and illnesses sustained during the XXIII Olympic Winter Games, hosted by PyeongChang on 9–25 February 2018. Methods We recorded the daily number of athlete injuries and illnesses (1) through the reporting of all National Olympic Committee (NOC) medical teams and (2) in the polyclinic and medical venues by the PyeongChang 2018 medical staff. Results In total, 2914 athletes (1210 women, 42%; 1704 men, 58%) from 92 NOCs were observed for occurrence of injury and illness. NOC and PyeongChang 2018 medical staff reported 376 injuries and 279 illnesses, equalling 12.6 injuries and 9.4 illnesses per 100 athletes over the 17-day period. Altogether, 12% of the athletes incurred at least one injury and 9% at least one illness. The injury incidence was highest in ski halfpipe (28%), snowboard cross (26%), ski cross (25%), snowboard slopestyle (21%) and aerials (20%), and lowest in Nordic combined, biathlon, snowboard slalom, moguls and cross-country skiing (2%–6%). Of the 376 injuries recorded, 33% and 13% were estimated to lead to ≥1 day and >7 days of absence from sport, respectively. The highest incidences of illness were recorded in biathlon (15%), curling (14%), bobsleigh (14%) and snowboard slalom (13%). Thirty per cent of the illnesses were expected to result in time loss, and 70% affected the respiratory system. Women suffered 61% more illnesses than men. Conclusion Overall, 12% of the athletes incurred at least one injury during the Games and 9% an illness, incidences that are similar to the Olympic Winter Games of 2010 and 2014.
13 August 2010 in The American Journal of Sports Medicine
Background: Many authors have reported the presence of intra-articular lesions after primary dislocation of the shoulder joint. However, few studies have focused on their prevalence or the differences in accompanying lesions between primary and recurrent dislocations of the shoulder joint. Purpose: This study was undertaken to investigate and analyze accompanying lesions, including types of anteroinferior labrum injuries, using diagnostic arthroscopy and magnetic resonance arthrography (MRA) in 144 patients with traumatic anterior dislocation of the shoulder joint. Study Design: Cohort study; Level of evidence, 3. Methods: There were 33 patients with 33 dislocations in the primary dislocation group and 111 patients with 111 dislocations in the recurrent dislocation group. Preoperative magnetic resonance arthrography and diagnostic arthroscopy were performed on all patients. Results: In the primary dislocation group, 8 Bankart lesions, 9 free anterior labrum periosteal sleeve avulsion (ALPSA) lesions, 4 bony Bankart lesions, and 1 adhesive ALPSA lesion were observed. In the recurrent dislocation group, 68 Bankart lesions, 11 free ALPSA lesions, 13 bony Bankart lesions, 16 adhesive ALPSA lesions, and 1 glenoid articular rim disruption lesion were found. There were 22 (66.6%) and 109 (98.1%) patients with lesions in the anteroinferior labrum in the primary and recurrent groups, respectively. There was a statistically significant difference between the 2 groups (P = .002). Also, there was a significant difference between the 2 groups in the prevalence of the Hill-Sachs lesion and inverted pear-shaped glenoid lesion (P = .008/P = .047). Inverted pear-shaped glenoids were observed in 15 patients in the recurrent group. In 139 of 144 patients, surgical findings of accompanying lesions coincided with magnetic resonance arthrography findings (96.5%). Conclusion: Various forms of anteroinferior labral lesions were seen in patients with traumatic anterior dislocation of shoulder. The recurrent dislocation group showed a significantly higher prevalence of anteroinferior labral lesions and bony lesions in comparison with the primary group. In our study, magnetic resonance arthrography was an accurate method to assess accompanying lesions in first-time and recurrent anterior dislocation of the shoulder, suggesting that this may be a useful tool for determining a treatment method.
In this study, we developed machine learning-based prediction models for early childhood caries and compared their performances with the traditional regression model. We analyzed the data of 4195 children aged 1–5 years from the Korea National Health and Nutrition Examination Survey data (2007–2018). Moreover, we developed prediction models using the XGBoost (version 1.3.1), random forest, and LightGBM (version 3.1.1) algorithms in addition to logistic regression. Two different methods were applied for variable selection, including a regression-based backward elimination and a random forest-based permutation importance classifier. We compared the area under the receiver operating characteristic (AUROC) values and misclassification rates of the different models and observed that all four prediction models had AUROC values ranging between 0.774 and 0.785. Furthermore, no significant difference was observed between the AUROC values of the four models. Based on the results, we can confirm that both traditional logistic regression and ML-based models can show favorable performance and can be used to predict early childhood caries, identify ECC high-risk groups, and implement active preventive treatments. However, further research is essential to improving the performance of the prediction model using recent methods, such as deep learning.
1 November 2012 in Journal of Shoulder and Elbow Surgery
The purpose of this study was to compare clinical outcomes between a primary dislocation group (group P) and a recurrent dislocation group (group R) with combined lesion of Bankart and type II SLAP lesions (type V SLAP lesion) and to evaluate incidence of type V SLAP lesion. In addition, the authors evaluated clinical outcomes of these patients by dividing two groups according to the sequence for Bankart and SLAP lesion suture. From May 2000 to May 2005, 310 patients who gave informed consent, underwent the diagnostic arthroscopy and magnetic resonance arthrography (MRA). One hundred and ten patients met the following criteria: (1) post-traumatic primary or recurrent anterior shoulder instability, (2) a normal contralateral shoulder, (3) a type V SLAP lesion, and (4) minimum follow-up of two years. Group P included 42 patients, and group R, 68 patients. Among all patients, 58 patients who had Bankart lesions sutured first were included in group B, and 52 who had their SLAP lesions sutured beforehand, group S. Visual analogue scale, range of motion, Rowe and Constant score were used to compare results between group P and group R, also group B and group S. The incidence rates of type V SLAP lesion were 42.8% in group P and 32.0% in group R. The overall treatment results in our study were good. Even if the difference between the two groups was statistically insignificant, group P showed greater recovery of range of motion than group R in external rotation. No significant difference was found between the two different operative methods according to suture sequence. The incidence rates of type V SLAP lesion were 42.8% in the primary dislocation group and 32.0% in the recurrent dislocation group. The overall treatment results in our study were good. Although there was no statistical significance in surgical time between the two groups, when both SLAP and Bankart lesions are present, the Bankart lesion must be sutured first to reduce surgical time.