中度稳定期慢性阻塞性肺疾病疲劳与多维度指标的关系

目的 探讨中度稳定期慢性阻塞性肺疾病(慢阻肺)患者疲劳与营养指标、生活质量指标、炎症指标、精神情绪指标的关系。方法 采用前瞻性研究,根据一般疲劳定义,从慢阻肺患者中随机选取中度稳定期慢阻肺疲劳患者30例(疲劳组)与中度稳定期慢阻肺非疲劳患者26例(非疲劳组)。收集两组一般资料、营养指标、生活质量指标、炎症指标、精神情绪指标,并进行比较。结果 两组性别、年龄、吸烟指数等方面差异无统计学意义(均P>0.05);与非疲劳组相比,疲劳组白蛋白、血红蛋白、体重指数、第1秒用力呼气容积占预计值的百分比(percent predicted forced expiratory volume in one-second, FEV1%)、6 min步行距离(6-minute walk distance, 6MWD)均显著降低(P<0.05),慢性阻塞性肺疾病评估测试(chronic obstructive pulmonary disease assessment test, CAT)评分、C反应蛋白(C-reactive protein, CRP)、降钙素原(procalcitonin, PCT)、白细胞(WBC)计数、贝克抑郁和焦虑量表评分, 心理身体紧张松弛测试量表(PSTR)评分均较高(P<0.05)。 结论 疲劳与中度稳定期慢阻肺患者营养、生活质量、炎症、精神情绪有关,是建立慢阻肺患者多维度疲劳测量的重要部分。     

Comparing Radiomics features of tumour and healthy liver tissue in a limited CT dataset: A machine learning study

IntroductionLiver cancer lesions on Computed Tomography (CT) withholds a great amount of data, which is not visible to the radiologists and radiographer. Radiomics features can be extracted from the lesions and used to train Machine Learning (ML) algorithms to predict between tumour and liver tissue. The purpose of this study was to investigate and classify Radiomics features extracted from liver tumours and normal liver tissue in a limited CT dataset.MethodsThe Liver Tumour Segmentation Benchmark (LiTS) dataset consisting of 131 CT scans of the liver with segmentations of tumour tissue and healthy liver was used to extract Radiomic features. Extracted Radiomic features included size, shape, and location extracted with morphological and statistical techniques according to the International Symposium on Biomedical Imaging manual. Relevant features was selected with chi2 correlation and principal component analysis (PCA) with tumour and healthy liver tissue as outcome according to a consensus between three experienced radiologists. Logistic regression, random forest and support vector machine was used to train and validate the dataset with a 10-fold cross-validation method and the Grid Search as hyper-parameter tuning. Performance was evaluated with sensitivity, specificity and accuracy.ResultsThe performance of the ML algorithms achieved sensitivities, specificities and accuracy ranging from 96.30% (95% CI: 81.03%–99.91%) to 100.00% (95% CI: 86.77%–100.00%), 91.30% (95% CI: 71.96%–98.93%) to 100.00% (95% CI: 83.89%–100.00%)and 94.00% (95% CI: 83.45%–98.75%) to 100.00% (95% CI: 92.45%–100.00%), respectively.ConclusionML algorithms classifies Radiomics features extracted from healthy liver and tumour tissue with perfect accuracy. The Radiomics signature allows for a prognostic biomarker for hepatic tumour screening on liver CT.Implications for practiceDifferentiation between tumour and liver tissue with Radiomics ML algorithms have the potential to increase the diagnostic accuracy, assist in the decision-making of supplementary multiphasic enhanced medical imaging, as well as for developing novel prognostic biomarkers for liver cancer patients.     

A case of sudden cardiac death due to mitochondrial disease

A 25-year-old, emaciated man without medical treatment was found to have died suddenly at home by his mother. At autopsy, there were no injuries to his body, but significant circulatory insufficiency was observed. Electron microscopy revealed abnormal mitochondria in cells of the cardiac conduction system. The conduction system was filled with mitochondrial size abnormalities and mitochondrial cristae abnormalities. No notable abnormal findings were observed in other organs. Genetic examination of the blood revealed the mitochondrial pathogenetic variant m.3243A>G. Epileptic seizures, diabetic ketoacidosis, and hyperosmolar hyperglycemic state were unlikely to be the cause of sudden death. The cause of death was diagnosed as arrhythmia possibly induced by the failure of the cardiac conduction system due to mitochondrial disease. This is a rare case of sudden death caused by an accumulation of abnormal mitochondria in the cardiac conduction system.     

基于CiteSpace国内婴儿哭声研究领域的知识图谱分析

目的 分析国内婴儿哭声研究领域的现状,探索该领域国内研究热点,旨在为婴儿哭声领域科研工作提供一定思路和依据。方法 检索CNKI建库至2021年12月期间所收录的婴儿哭声相关研究文献,运用CiteSpace软件对纳入文献从发文量、作者、机构、关键词、突现5个方面进行可视化分析。结果 共纳入190篇文献,1980—2021年间该领域发文量整体呈上升趋势;研究作者较少,作者间合作网络尚未形成;研究机构之间交互性差,发文量最多的是杭州医学院及其附属医院;“护理干预”、“哭声信息识别”、“深度学习”为该领域研究热点;“护理”、“新生儿”、“婴儿哭声”、“深度学习”为该领域研究前沿;研究趋势由新生儿病理性哭声研究转向婴儿哭声针对性干预、深度学习。结论 国内婴儿哭声领域受到更多重视,未来应强化作者和机构间的合作交流,融合多学科发展,扩大研究范围,可从婴儿情感需求分析、智能医学与监护、新型护理干预方法等方面着手,加速国内婴儿哭声研究进程。     

Patient-important outcomes to inform shared decision making and goal setting for diabetes treatment

ObjectiveDespite well-established treatment guidelines, diabetes is difficult to manage for many individuals. The importance of using shared decision making to optimize diabetes treatment is recognized, yet what matters most to individuals with diabetes is not well established. Our goal was to identify patients’ goals and priorities for diabetes management.MethodsWe engaged 141 participants through interviews and group concept mapping to identify patient-important outcomes (PIOs) for diabetes care. We generated a master list of PIOs by aggregating interview data coded to “goals” and ideas brainstormed during concept mapping, and then a patient advisory board sorted the PIOs into higher-level domains.ResultsWe identified 41 PIOs sorted into 7 broad domains: optimize daily self-care, optimize long term health, learn about diabetes, achieve measurable goals, manage medications, manage diet and best utilize medical / professional services.ConclusionsMost (4/7) of PIO domains focused on personal and life goals, not medically-oriented goals. Use of these PIOs and domains may facilitate more effective SDM discussions for patients with diabetes.Practice implicationsUse of PIOs from this work can enable the empowerment of patients to voice their priorities during SDM conversations, thus facilitating development of truly individualized diabetes treatment plans.     

Abnormal femur rotation in patients with recurrent patellar dislocation: A study on upright standing three-dimensionally reconstructed EOS images

BackgroundThe measurements of lower extremity rotational deformities in patients with recurrent patellar dislocation (RPD) in the standing position are available with the application of the EOS imaging system. The aim of our case–control study was to identify the differences on the femur rotation between the supine and standing positions, and to investigate the differences of anatomical and functional femur rotation between RPD patients and controls.MethodsThirty-five lower extremities affected by RPD from 30 patients and 27 intact lower extremities from 27 controls with acute meniscus tear or anterior cruciate ligament injury were recruited. Anatomical femoral anteversion (AFA), functional femoral anteversion (FFA), femorotibial rotation (FTR) and distal femoral torsion (DFT) of all subjects were measured with the EOS imaging system. Computed tomography scans were carried out to analyze the AFA and FFA in the supine position in PRD patients. The differences in FFA between supine and standing position and in AFA, FTR and DFT between RPD and controls were analyzed. The predictor importance of each variable on RPD was observed after cluster analysis.ResultsThe EOS images were available in all subjects. The FFA was significantly smaller in the standing position than in the supine position (P < 0.05) in RPD patients. When comparing with the controls, RPD patients showed higher AFA, FTR and DFT (P < 0.05) but comparable FFA (P < 0.05). The cluster model prompted that FTR and DFT had higher predictor importance than AFA.ConclusionLarger AFA but comparable FFA in patients with RPD than the controls in an upright standing position suggested more internally rotated distal femur in the RPD patients. AFA may be inadequate and FFA should also be considered while planning the treatment for RPD. DFT and FTR should be taken into consideration when evaluating the abnormalities in femur rotation in RPD patients.     

The immune-neuroendocrine system in COVID-19, advanced age and rheumatic diseases

• •The immune-neuroendocrine system is essential to maintain homeostasis specially during stress situations. COVID-19 infection, produce stress, and activates the immune–neuroendocrine system. During the COVID-19 pandemic, multiple studies indicate that the most vulnerable populations are older adults and patients with comorbidities including autoimmune rheumatic diseases. These patients suffer from extremely important situation that favors the inflammatory hyper response due to an inadequate reaction of the immune-neuroendocrine system. This review aims to analyze the findings of the effect of COVID-19 on the hypothalamic–pituitary–adrenal, hypothalamic–pituitary–gonadal, hypothalamic–pituitary–thyroid, hypothalamic–pituitary–prolactin axes, and central nervous system, as well as the response to this viral infection in older adults and patients with rheumatic diseases and perspectives about this subject.

     

The emerging role of the sympathetic nervous system in skeletal muscle motor innervation and sarcopenia

Examining neural etiologic factors’role in the decline of neuromuscular function with aging is essential to our understanding of the mechanisms underlying sarcopenia, the age-dependent decline in muscle mass, force and power. Innervation of the skeletal muscle by both motor and sympathetic axons has been established, igniting interest in determining how the sympathetic nervous system (SNS) affect skeletal muscle composition and function throughout the lifetime. Selective expression of the heart and neural crest derivative 2 gene in peripheral SNs increases muscle mass and force regulating skeletal muscle sympathetic and motor innervation; improving acetylcholine receptor stability and NMJ transmission; preventing inflammation and myofibrillar protein degradation; increasing autophagy; and probably enhancing protein synthesis. Elucidating the role of central SNs will help to define the coordinated response of the visceral and neuromuscular system to physiological and pathological challenges across ages.This review discusses the following questions: (1) Does the SNS regulate skeletal muscle motor innervation? (2) Does the SNS regulate presynaptic and postsynaptic neuromuscular junction (NMJ) structure and function? (3) Does sympathetic neuron (SN) regulation of NMJ transmission decline with aging? (4) Does maintenance of SNs attenuate aging sarcopenia? and (5) Do central SN group relays influence sympathetic and motor muscle innervation?