基于移动医疗的妊娠期盆底肌训练对产后尿失禁发生的影响：一项基于随机对照试验设计的探索性研究

背景 孕产妇尿失禁（UI）发病率高，严重影响了女性生活质量。研究表明，盆底肌训练是UI有效的防治手段，本研究前期进行了一项随机对照试验（RCT），结果发现相比于常规宣教，基于移动医疗APP的盆底肌训练并未显现出预防优势，其原因需要进一步深入探讨。 目的 本研究拟对一项基于APP的妊娠期盆底肌训练的干预研究的阴性结果进行探索性分析，旨在探讨产后UI预防效果的影响因素以及获益的亚组人群。 方法 本研究数据来源于前期开展的一项RCT，采用方便抽样法，于2020年6—10月在南方医科大学深圳医院产科门诊招募了126例研究对象，采用随机数字表法分为干预组与对照组，每组各63例。对照组采用常规护理，干预组在此基础上使用"有爱屋"APP进行尿失禁自我管理，干预周期为2个月。产后42 d随访时收集两组产后相关资料，包括产后42 d UI发生情况。以产后是否发生UI为结局指标，将研究对象分为病例组和对照组，采用Logistic回归分析探讨混杂因素及其与干预方式之间的交互作用对产后UI发生的影响。针对Logistic回归分析的结果进行分层分析，探讨是否存在能从APP干预中获益的亚组人群。 结果 病例组和对照组阴道分娩史、入组时存在UI、Broome盆底肌自我效能量表（BPMSES）得分比较，差异均有统计学意义（P<0.05）。Logistic回归分析结果显示，入组时存在UI是产后发生UI的危险因素〔OR=15.897，95%CI（4.724，53.495），P<0.001〕；BPMSES得分与干预方式的交互作用可影响产后UI的发生〔OR=1.034，95%CI（1.017，1.051），P<0.001〕。分层分析结果显示，入组时存在UI症状的孕妇，干预组产后UI发生率低于对照组（χ2=4.18，P=0.041）；入组时不存在UI症状的孕妇，两组产后UI发生率比较，差异无统计学意义（χ2=1.89，P=0.284）。 结论 推荐有UI症状的孕妇使用"有爱屋"APP或许可预防产后UI的发生。而对于妊娠期没有UI症状的人群使用"有爱屋"APP预防产后UI发生的证据尚不充分。另外，不管有无UI症状，盆底肌训练自我效能高的孕妇有望从APP干预中获益。     

MRCS Performance by OMFS trainees: an update and call to action

Completion of the Intercollegiate Membership of the Royal College of Surgeons (MRCS) examination is a prerequisite for completion of specialty surgical training in UK. The aim of this study was to compare MRCS performance of OMFS trainees to trainees in other specialities over the past 13 years. Differential attainment (DA) was noted in MRCS Part A (MCQ) pass rates. There was no statistically significant difference in MRCS Part B pass rates. The reasons for this DA are currently unknown and require further investigation. It has been suggested that this may be due at least in part to competing time, family and financial obligations, which increase over time.     

EEG functional connectivity contributes to outcome prediction of postanoxic coma

ObjectiveTo investigate the additional value of EEG functional connectivity features, in addition to non-coupling EEG features, for outcome prediction of comatose patients after cardiac arrest.MethodsProspective, multicenter cohort study. Coherence, phase locking value, and mutual information were calculated in 19-channel EEGs at 12 h, 24 h and 48 h after cardiac arrest. Three sets of machine learning classification models were trained and validated with functional connectivity, EEG non-coupling features, and a combination of these. Neurological outcome was assessed at six months and categorized as “good” (Cerebral Performance Category [CPC] 1–2) or “poor” (CPC 3–5).ResultsWe included 594 patients (46% good outcome). A sensitivity of 51% (95% CI: 34–56%) at 100% specificity in predicting poor outcome was achieved by the best functional connectivity-based classifier at 12 h after cardiac arrest, while the best non-coupling-based model reached a sensitivity of 32% (0–54%) at 100% specificity using data at 12 h and 48 h. Combination of both sets of features achieved a sensitivity of 73% (50–77%) at 100% specificity.ConclusionFunctional connectivity measures improve EEG based prediction models for poor outcome of postanoxic coma.SignificanceFunctional connectivity features derived from early EEG hold potential to improve outcome prediction of coma after cardiac arrest.     

Dynamic functional connectivity of the EEG in relation to outcome of postanoxic coma

ObjectiveEarly EEG contains reliable information for outcome prediction of comatose patients after cardiac arrest. We introduce dynamic functional connectivity measures and estimate additional predictive values.MethodsWe performed a prospective multicenter cohort study on continuous EEG for outcome prediction of comatose patients after cardiac arrest. We calculated Link Rates (LR) and Link Durations (LD) in the α, δ, and θ band, based on similarity of instantaneous frequencies in five-minute EEG epochs, hourly, during 3 days after cardiac arrest. We studied associations of LR and LD with good (Cerebral Performance Category (CPC) 1–2) or poor outcome (CPC 3–5) with univariate analyses. With random forest classification, we established EEG-based predictive models. We used receiver operating characteristics to estimate additional values of dynamic connectivity measures for outcome prediction.ResultsOf 683 patients, 369 (54%) had poor outcome. Patients with poor outcome had significantly lower LR and longer LD, with largest differences 12 h after cardiac arrest (LR_θ 1.87 vs. 1.95 Hz and LD_α 91 vs. 82 ms). Adding these measures to a model with classical EEG features increased sensitivity for reliable prediction of poor outcome from 34% to 38% at 12 h after cardiac arrest.ConclusionPoor outcome is associated with lower dynamics of connectivity after cardiac arrest.SignificanceDynamic functional connectivity analysis may improve EEG based outcome prediction.     

Therapeutic effectiveness of a single exercise session combined with Walk Aide functional electrical stimulation in post-stroke patients:a crossover design study

A growing body of evidence has suggested that the imbalance of epigenetic markers and oxidative stress appears to be involved in the pathophysiology and progression of stroke. Thus, strategies that modulate these biomarkers might be considered targets for neuroprotection and novel therapeutic opportunities for these patients. Physical exercise has been reported to induce changes in these epigenetic markers and improve clinical outcomes in different populations. However, little is reported on this in post-stroke patients. The purpose of this study was to investigate the effect of a single exercise session with Walk Aide functional electrical stimulation(FES) on cognitive performance, clinical functional parameters, oxidative stress and epigenetic modulation in post-stroke individuals. In this crossover design study, 12 post-stroke individuals aged 54–72 years of either sexes were included and subjected to a single session of exercise(45 minutes) without Walk Aide functional electrical stimulation(EXE alone group), followed by another single session of exercise(45 minutes) with Walk Aide functional electrical stimulation(EXE + FES group). The clinical functional outcome measures, cognitive performance and blood collections for biomarker measurements were assessed pre-and post-intervention. After intervention, higher Berg Balance Scale scores were obtained in the EXE + FES group than in the EXE alone group. There was no significant difference in the Timed Up and Go test results post-intervention between EXE alone and EXE + FES groups. After intervention, a better cognitive performance was found in both groups compared with before the intervention. After intervention, the Timed Up and Go test scores were higher in the EXE + FES group than in the EXE alone group. In addition, the intervention induced lower levels of lipid peroxidation. After intervention, carbonyl level was lower, superoxide dismutase activity and superoxide dismutase/catalase activity ratio were higher in the EXE + FES group, compared with the EXE group alone. In each group, both histone deacetylase(HDAC2) and histone acetyltransferase activities were increased after intervention compared with before the intervention. These findings suggest that a single exercise session with Walk Aide FES is more effective on balance ability and cognitive performance compared with conventional exercise alone in post-stroke patients. This is likely to be related to the regulation of oxidative stress markers. The present study was approved by the Research Ethics Committee of the Methodist University Center-IPA(approval No. 2.423.376) on December 7, 2017 and registered in the Brazilian Registry of Clinical Trials—Re BEC(RBR-9 phj2 q) on February 11, 2019.     

以就业为导向的脊柱相关疾病的推拿教学策略

目的培养脊柱及相关疾病推拿治疗的应用型人才。方法采用编写应用型教材、把教室转移到诊室和示教室、教材-案例“逼真”教学法、创造学生在临床真实环境下的动手操作机会和产-学-研相结合教学法等手段和方法,在内容改革上纳入目前医院和社会机构多使用的规划教材之外的手法技术、现代康复技术和世界各地的脊柱手法技术,拓宽知识面,与临床应用接轨;发挥考试的导向功能,通过改革考试和评价方法,切实培养应用型人才。结果教学效果良好,有效提升了学生临床适应能力和社会生存能力。结论以就业为导向的脊柱及相关疾病的推拿教学模式值得进一步探索。