膝关节镜术后结合活血祛瘀汤内服对膝关节炎患者骨代谢指标及炎性指标的影响

目的:研究膝关节镜术后结合活血祛瘀汤内服对膝关节炎患者骨代谢指标及炎性指标的影响。方法:选取2013年6月至2016年5月抚顺市中医院骨科住院部收治的进行关节镜清理术的膝骨关节炎患者68例进行回顾性分析,按照术后治疗方法的不同分为观察组和对照组,每组34例。观察组内服活血祛瘀汤(58膝),对照组行单纯关节镜清理术(62膝)。将2组患者术后6个月随访疗效结果进行比较。结果:6个月治疗结束后,观察组总有效率81. 02%,显著高于对照组的48. 55%,差异有统计学意义(P 0. 05),观察组治疗后夜间卧床休息时疼痛、晨僵或起床后疼痛加重、绞锁、肿胀以及跛行优于对照组,差异有统计学意义(P 0. 05)。观察组治疗后TNF-α、IL-6改善显著,与对照组比较,差异有统计学意义(P 0. 05),观察组与对照组治疗后COMP、CTX-Ⅱ、CTX-Ⅰ、MMP-3治疗后效果显著,且观察组优于对照组,差异有统计学意义(P 0. 05)。结论:活血祛瘀汤可明显降低膝关节术后患者炎性反应递质水平,患者COMP,CTX-Ⅱ,CTX-Ⅰ和MMP-3指标亦有显著改善,患者综合治疗疗效优于患者单纯使用关节镜下清理术疗效。     

Anatomic vs. reverse shoulder arthroplasty for glenohumeral osteoarthritis with intact rotator cuff: a retrospective comparison of patient-reported outcomes using the systems outcomes database with up to 5-year follow-up

BackgroundThe growing enthusiasm for the use of reverse shoulder arthroplasty (RSA) in the treatment of primary glenohumeral osteoarthritis (GHOA) with an intact rotator cuff is based on data derived from single-center studies with limited generalizability and follow-up. This study compared patient-reported outcomes (PROs) between RSA and total shoulder arthroplasty (TSA) for the treatment of primary GHOA with up to 5-year follow-up and examined temporal trends in the treatment of GHOA between 2012 and 2021.MethodsA retrospective review was performed on patients with primary GHOA undergoing primary arthroplasty surgery from the Surgical Outcomes System global registry between 2012 and 2021. PROs including the American Shoulder and Elbow Surgeons (ASES) score, Single Assessment Numeric Evaluation (SANE) score, and visual analog scale (VAS) for pain were compared between RSA and TSA at 1, 2, and 5 years postoperatively.ResultsA total of 4451 patients were included, with 2693 (60.5%) undergoing TSA and 1758 (39.5%) undergoing RSA. Both RSA and TSA provided clinically excellent outcomes at 1 year postoperatively (ASES: 80.8 ± 17.9 vs. 85.9 ± 15.2, respectively; SANE: 74.8 ± 24.7 vs. 79.5 ± 22.9; VAS pain: 1.3 ± 2.0 vs. 1.1 ± 1.7; all P < .05) that were maintained at 2 years (ASES: 81.3 ± 19.3 vs. 87.3 ± 14.9; SANE: 74.8 ± 26.2 vs. 79.7 ± 24.7; VAS pain: 1.3 ± 2.1 vs. 1.0 ± 1.6; all P < .05) and 5 years (ASES: 81.7 ± 16.5 vs. 86.9 ± 15.3; SANE: 71.6 ± 28.5 vs. 78.2 ± 25.9; VAS pain: 1.0 ± 1.7 vs. 1.0 ± 1.7; all P < .05), with statistical significance favoring TSA. After controlling for age and sex, there was an adjusted difference of 4.5 units in the ASES score favoring TSA (P = .005) at 5 years postoperatively but no differences in adjusted SANE (P = .745) and VAS pain (P = .332) scores. The use of RSA for GHOA grew considerably over time, from representing only 17% of all replacements performed for GHOA in 2012 to nearly half (47%) in 2021 (P < .001).ConclusionRSA as a treatment for GHOA with an intact rotator cuff seems to yield PROs that are largely clinically equivalent to TSA extending to 5 years postoperatively. The observed statistical significance favoring TSA appears to be of marginal clinical benefit based on established minimal clinically important differences and may be a result of the large sample size. Further research using more granular clinical data and examining differences in range of motion and complications is warranted as it may change the value analysis.     

Adopting Review,Reflect and Re-focus [Triple R] sessions to support pre-registration therapeutic radiography students post clinical placement

IntroductionEducation and training strategies in Therapeutic Radiography are challenged in recruiting and retaining students in the profession. Clinical oncology centres are often viewed as stressful environments for students due to rapid advances in technology and reported bullying and harassment. Educators continue to work with clinical partners in developing strategies to promote resilience and reduce negative attitudes. The overall aim of this project was to explore the use of Triple R sessions as a new method of student reflection.MethodsThe Review, Reflect and Re-focus (Triple R) sessions were designed to enable students to learn from their clinical experiences and; apply their understanding and positivity when they return to clinical placement. Eleven sessions were completed across 7 student cohorts in one academic year. Qualitative data was collected from feedback forms, as well as academic field notes, and analysed thematically.ResultsTwo main themes focused on: (1) staff interactions and (2) student expectations. Results showed that Triple R sessions were helpful in drawing out the experiences of students in a positive way to reflect on their own development. The sessions enabled critical self-analysis and improved problem-solving skills, particularly evident during peer discussions.ConclusionTriple R sessions explored the influence of a positive approach on students' perceptions of their overall placement. Evaluation of the data indicated that, following academic and peer discussion, students' perceptions tended to be a more positive overall view of their placement.Implications for practiceTriple R sessions can be used in academic and clinical environments to enable positive student interactions.     

Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters

BackgroundParkinson’s disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stage, the gold standard for diagnosis and symptoms monitoring of PD is still mainly based on clinical evaluation, which includes several subjective factors. The use of machine learning (ML) algorithms in spatial-temporal gait parameters is an interesting advance with easy interpretation and objective factors that may assist in PD diagnostic and follow up.Research questionThis article studies ML algorithms for: i) distinguish people with PD vs. matched-healthy individuals; and ii) to discriminate PD stages, based on selected spatial-temporal parameters, including variability and asymmetry.MethodsGait data acquired from 63 people with PD with different levels of PD motor symptoms severity, and 63 matched-control group individuals, during self-selected walking speed, was study in the experiments.ResultsIn the PD diagnosis, a classification accuracy of 84.6 %, with a precision of 0.923 and a recall of 0.800, was achieved by the Naïve Bayes algorithm. We found four significant gait features in PD diagnosis: step length, velocity and width, and step width variability. As to the PD stage identification, the Random Forest outperformed the other studied ML algorithms, by reaching an Area Under the ROC curve of 0.786. We found two relevant gait features in identifying the PD stage: stride width variability and step double support time variability.SignificanceThe results showed that the studied ML algorithms have potential both to PD diagnosis and stage identification by analysing gait parameters.     

Development of a trail running injury screening instrument: A multiple methods approach

ObjectiveTo develop a trail running injury screening instrument (TRISI) for utilisation as clinical decision aid in determining if a trail runner is at an increased risk for injury.DesignMultiple methods approach.MethodsThe study utilised five phases 1) identification of injury risk factors 2) determining the relevance of each identified risk factor in a trail running context, 3) creating the content of the Likert scale points from 0 to 4, 4) rescaling the Likert scale points to determine numerical values for the content of each Likert scale point, and 5) determining a weighted score for each injury risk factor that contributes to the overall combined composite score.ResultsOf the 77 identified injury risk factors, 26 were deemed relevant in trail running. The weighted score for each injury risk factor ranged from 2.21 to 5.53 with the highest calculated score being 5.53. The final TRISI includes risk categories of training, running equipment, demographics, previous injury, behavioural, psychological, nutrition, chronic disease, physiological, and biomechanical factors.ConclusionThe developed TRISI aims to assist the clinician during pre-race injury screening or during a training season to identify meaningful areas to target in designing injury risk management strategies and/or continuous health education.     

刘中勇从“气血瘀滞”论治不寐的临证经验

不寐,现代医学称睡眠障碍,是一种临床常见病和多发病,本病发病原因尚不明确,通常不伴明显器质性病变,病人自觉症状重,西医尚无明确的治愈方法。祖国医学很早就认识到本病,积累了丰富的经验。刘中勇教授在古人的基础上提出从"气血瘀滞"的角度论治不寐,临床取得较好疗效,本文将从病因病机、理论探析、辨证论治三个方面介绍其相关经验,供同行参考。     

基于医院信息系统的乳腺癌临床特征及中西医用药特征分析

目的 解析真实世界中乳腺恶性肿瘤患者的人群特征、诊断特征、中西医用药特征，为乳腺癌的临床防治提供参考。方法 采集2002年2月至2015年5月全国60家三级甲等医 院信息系统（Hospital Information System，HIS）中，出院诊断为“乳腺癌”的患者用药信息，采用SAS9.3统计软件，对人口学信息、诊断信息、医嘱用药信息等进行描述性分析。结果 39798例乳腺癌患者，平均年龄（50.93者，平均年龄）岁；多以门诊入院，入院病情以“一般”为主;合并疾病主要为高血压，骨肿瘤，联用西药以抑制肿瘤细胞增殖、治疗并发症、缓解放化疗不良反应为主；中医辨证以痰瘀互结证，气阴两虚证，肝气淤滞证，脾气亏虚证型最为常见，临床清热解毒剂、益气扶正剂，活血化瘀剂应用较多。结论 乳腺癌中西医结合治疗，联用药物广泛，临床治疗基本符合临床指南。