基于家庭的心理治疗对强迫障碍治疗的研究进展

强迫障碍(obsessive-compulsive disorder,OCD)是常见的难治性精神疾病,经过心理治疗和药物治疗仅有40%~60%患者获得缓解,患者残留各种症状和功能障碍。心理治疗是OCD治疗的重要组成部分,家庭因素在疾病的发生、维持和预后中起重要作用,以家庭为基础的心理治疗越来越受到重视。文章就对OCD采用基于家庭的心理治疗的必要性和进展进行综述,研究显示患者家属的精神心理状态和家庭顺应性等因素与OCD治疗效果密切相关,而家庭成员高度参与,针对家庭因素干预的基于家庭的心理治疗策略可以增强治疗效果,改善患者家庭功能。文章为强迫障碍的临床优化治疗提供了实践依据。     

Exploration and validation of the effects of robust co-expressed immune-related genes on immune infiltration patterns and prognosis in laryngeal cancer

ObjectivesLaryngeal cancer is a common malignant tumor that originates from the larynx, yet its molecular mechanisms have not been thoroughly explored. The purpose of this study was to identify and evaluate immune-related genes in laryngeal cancer through gene co-expression networks, which may serve as biomarkers for its immunotherapy.MethodsWe applied ESTIMATE to evaluate the immune-infiltration landscape of tumor microenvironment. The co-expression networks were constructed by weighted gene co expression network analysis (WGCNA) and compared with the existing human immune related genes (IRGs) to determine the co-expressed IRGs. GSVA combined with CIBERSORT and ssGSEA illustrated the correlation of hub genes and immune infiltration patterns. TIDE algorithm and Subclass mapping evaluated the function of hub genes in predicting immune function and immunotherapeutic sensitivity. The pRRophetic was employed in the sensitivity prediction of chemotherapeutic drugs.ResultsA total of 23 co-expressed IRGs were identified and showed robust expression characteristics. These genes were significantly related to immune infiltration patterns, immune function and sensitivity prediction of immunotherapy and chemotherapeutic drugs for laryngeal cancer patients. Genetic alteration in somatic mutation level and related pathways were also revealed.ConclusionThe 23 co-expressed IRGs may act as immunotherapeutic biomarkers and potential therapeutic targets for laryngeal cancer with certain expression robustness. The molecular mechanisms deserve further investigation, which will guide clinical treatment in the future.     

Management of major trauma

Trauma is one of the leading cause of deaths in those <35 years old in the UK. It also has a significant morbidity burden with a subsequent economic impact. There is also a realisation that trauma is having an increasing impact in the elderly population. In the last two decades there have been changes in both the structure of trauma care across the UK, and also in clinical aspects from pre-hospital care to rehabilitation. This article will review the changes that have occurred, including the reasons, and give a broad overview of the immediate management of the critically ill trauma patient.     

Convergence and attractivity of memristor-based cellular neural networks with time delays

This paper presents theoretical results on the convergence and attractivity of memristor-based cellular neural networks (MCNNs) with time delays. Based on a realistic memristor model, an MCNN is modeled using a differential inclusion. The essential boundedness of its global solutions is proven. The state of MCNNs is further proven to be convergent to a critical-point set located in saturated region of the activation function, when the initial state locates in a saturated region. It is shown that the state convergence time period is finite and can be quantitatively estimated using given parameters. Furthermore, the positive invariance and attractivity of state in non-saturated regions are also proven. The simulation results of several numerical examples are provided to substantiate the results.     

认知行为干预在冠心病患者护理中的应用效果

目的观察认知行为干预在冠心病患者护理中的应用效果。方法选取本院2016年12月～2018年2月期间收治的53例冠心病患者,根据住院号奇偶性情况将其随机分为观察组(n=27)和对照组(n=26),对照组予以常规护理,观察组予以认知行为干预。比较两组患者控制态度评分、心理状况评分、生活质量改善情况及依从性。结果观察组控制态度评分、心理状况评分、生活质量改善情况及依从性与对照组比较,差异有统计学意义(P0.05)。结论在冠心病患者护理中给予认知行为干预应用效果极佳,可作为临床干预首选措施。     

Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast

IntroductionWe previously developed a convolutional neural networks (CNN)-based algorithm to distinguish atypical ductal hyperplasia (ADH) from ductal carcinoma in situ (DCIS) using a mammographic dataset. The purpose of this study is to further validate our CNN algorithm by prospectively analyzing an unseen new dataset to evaluate the diagnostic performance of our algorithm.Materials and MethodsIn this institutional review board-approved study, a new dataset composed of 280 unique mammographic images from 140 patients was used to test our CNN algorithm. All patients underwent stereotactic-guided biopsy of calcifications and underwent surgical excision with available final pathology. The ADH group consisted of 122 images from 61 patients with the highest pathology diagnosis of ADH. The DCIS group consisted of 158 images from 79 patients with the highest pathology diagnosis of DCIS. Two standard mammographic magnification views (craniocaudal and mediolateral/lateromedial) of the calcifications were used for analysis. Calcifications were segmented using an open source software platform 3D slicer and resized to fit a 128 × 128 pixel bounding box. Our previously developed CNN algorithm was used. Briefly, a 15 hidden layer topology was used. The network architecture contained 5 residual layers and dropout of 0.25 after each convolution. Diagnostic performance metrics were analyzed including sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve. The “positive class” was defined as the pure ADH group in this study and thus specificity represents minimizing the amount of falsely labeled pure ADH cases.ResultsArea under the receiver operating characteristic curve was 0.90 (95% confidence interval, ± 0.04). Diagnostic accuracy, sensitivity, and specificity was 80.7%, 63.9%, and 93.7%, respectively.ConclusionProspectively tested on new unseen data, our CNN algorithm distinguished pure ADH from DCIS using mammographic images with high specificity.     

Challenges in the Practice of Sexual Medicine in the Time of COVID-19 in China

BackgroundIn March 2020, the World Health Organization declared coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a pandemic. Currently, data on changes in sexual behavior during the COVID-19 outbreak are limited.AimThe present study aimed to obtain a preliminary understanding of the changes in people's sexual behavior, as a result of the pandemic, and explore the context in which they manifest.MethodsA convenience sample of 270 men and 189 women who completed an online survey consisting of 12 items plus an additional question were included in the study.OutcomesThe study outcomes were obtained using a study-specific questionnaire to assess the changes in people's sexual behavior.ResultsWhile there was a wide range of individual responses, our results showed that 44% of participants reported a decrease in the number of sexual partners and about 37% of participants reported a decrease in sexual frequency. Multiple regression analysis showed that age, partner relationship, and sexual desire were closely related to sexual frequency. In addition, we found that most individuals with risky sexual experiences had a rapid reduction in risky sexual behavior.Clinical ImplicationsThe current findings contribute to identifying another potential health implication associated with the COVID-19 pandemic and report preliminary evidence of the need to provide potential interventions for the population.Strength & LimitationsThis study is the first to perform a preliminary exploration of sexual behavior during the COVID-19 outbreak. The generalizability of the results is limited, given that only a small convenience sample was used.ConclusionDuring the height of the COVID-19 outbreak, overall sexual activity, frequency, and risky behaviors declined significantly among young men and women in China.Li W, Li G, Xin C, et al. Challenges in the Practice of Sexual Medicine in the Time of COVID-19 in China. J Sex Med 2020;17:1225–1228.     

A schema-focused approach to group psychotherapy for outpatients with borderline personality disorder: A randomized controlled trial

This study tests the effectiveness of adding an eight-month, thirty-session schema-focused therapy (SFT) group to treatment-as-usual (TAU) individual psychotherapy for borderline personality disorder (BPD). Patients (N = 32) were randomly assigned to SFT-TAU and TAU alone. Dropout was 0% SFT, 25% TAU. Significant reductions in BPD symptoms and global severity of psychiatric symptoms, and improved global functioning with large treatment effect sizes were found in the SFT-TAU group. At the end of treatment, 94% of SFT-TAU compared to 16% of TAU no longer met BPD diagnosis criteria (p < .001). This study supports group SFT as an effective treatment for BPD that leads to recovery and improved overall functioning.