基于数据挖掘探讨全国名中医王行宽诊疗胸痹心痛遣方用药规律及学术经验

目的：运用中医传承计算平台V3.0软件,研究王行宽教授治疗胸痹心痛遣方用药规律,传承王行宽教授诊疗胸痹心痛的学术经验。方法：收集整理2017—2020年王行宽教授于湖南中医药大学门诊诊疗冠心病心绞痛患者的原始病历资料,录入中医传承计算平台V3.0,运用软件进行方药规律研究。结果：共收集王行宽教授治疗胸痹心痛处方1 044则,所用药物多为甘、苦药物,归经以肺经为主,其次为心、脾、肝、胃、肾经;所用方剂中使用最多的经方是生脉散,最高的经验方是心痛灵Ⅲ号方;高频数药物主要有麦冬、半夏、丹参、瓜蒌皮、黄连、五味子、柴胡等药物;药物的常用剂量多为3、5、10、15 g;组方规律分析得到常用药组合129个,置信度>0.99的组合有58个,并得到常见证型核心药物;药物聚类得到6个核心药物组合。结论：王行宽教授论治胸痹心痛以益气养营、豁痰化瘀、疏肝利胆为治疗思路,并根据胸痹心痛不同证型予以辨证施治,体现其“多脏调燮、综合治理”的学术思想,其核心处方可供临床从业者参考,但仍需要进一步的临床及实验研究验证其疗效。     

基于数据挖掘的早发性卵巢功能不全动物模型分析

目的：研究早发性卵巢功能不全动物模型的造模特点,为早发性卵巢功能不全动物模型制备的规范化提供参考,为该病发病机制及诊疗研究提供更好的研究基础。方法：通过检索中国知网、万方、维普、中国生物医学文献及PubMed数据库获取近十年早发性卵巢功能不全动物实验文献,归纳实验动物种类、造模方式、给药剂量、给药方案、成模标准及检测指标,应用Excel软件进行频数分析,应用SPSS Modeler 18.0进行关联规则分析并运用Cytoscape 3.6.1对结果进行可视化升级。结果：共纳入文献281篇,建立早发性卵巢功能不全动物模型多选用SD大鼠或BALB/c小鼠,造模方式多选用医源性诱导,造模药物以环磷酰胺为主,成模标准多选用动情周期紊乱,检测指标多选用卵巢组织形态学变化、雌二醇、卵泡刺激素及动情周期以从多方面综合评价模型。结论：早发性卵巢功能不全动物实验多选用SD大鼠,以环磷酰胺首次腹腔注射给药50 mg·kg-1,第2天起以8 mg·kg-1·d-1维持14 d诱导造模,具有简便易行、成模率高且符合疾病发生过程等优点,可为该病基础动物实验研究提供参考。     

Association between Vitamin D and Heart Failure Mortality in 10,974 Hospitalized Individuals

A broad range of chronic conditions, including heart failure (HF), have been associated with vitamin D deficiency. Existing clinical trials involving vitamin D supplementation in chronic HF patients have been inconclusive. We sought to evaluate the outcomes of patients with vitamin D supplementation, compared with a matched cohort using real-world big data of HF hospitalization. This study was based on the Diagnosis Procedure Combination database in the Japanese Registry of All Cardiac and Vascular Datasets (JROAD-DPC). After exclusion criteria, we identified 93,692 patients who were first hospitalized with HF between April 2012 and March 2017 (mean age was 79 ± 12 years, and 52.2% were male). Propensity score (PS) was estimated with logistic regression model, with vitamin D supplementation as the dependent variable and clinically relevant covariates. On PS-matched analysis with 10,974 patients, patients with vitamin D supplementation had lower total in-hospital mortality (6.5 vs. 9.4%, odds ratio: 0.67, p < 0.001) and in-hospital mortality within 7 days and 30 days (0.9 vs. 2.5%, OR, 0.34, and 3.8 vs. 6.5%, OR: 0.56, both p < 0.001). In the sub-group analysis, mortalities in patients with age < 75, diabetes, dyslipidemia, atrial arrhythmia, cancer, renin-angiotensin system blocker, and β-blocker were not affected by vitamin D supplementation. Patients with vitamin D supplementation had a lower in-hospital mortality for HF than patients without vitamin D supplementation in the propensity matched cohort. The identification of specific clinical characteristics in patients benefitting from vitamin D may be useful for determining targets of future randomized control trials.     

Composition of Dietary Fatty Acids and Health Risks in Japanese Youths

In the overall composition of dietary fatty acids (FAs), the quantity of each FA is interrelated with that of others. We examined the associations between dietary FA composition and cardiometabolic risk in Japanese youths. Risk factors (anthropometric characteristics, serum lipid and liver enzyme levels, and blood pressure) were measured in 5485 junior-high-school students. Dietary intake was assessed using a food frequency questionnaire. The mean saturated FA (SFA), monounsaturated FA (MUFA), omega-6 polyunsaturated FAs (PUFAs), and omega-3 PUFAs intake were 9.6%E, 10.3%E, 6.3%E, and 1.1%E, respectively. In compositional regression analysis controlled for confounders, a high intake of omega-6 PUFAs relative to others was associated with low low-density-lipoprotein cholesterol levels (LDL-C; p = 0.003), and relative SFA intake was associated with high levels of gamma-glutamyl transpeptidase (p = 0.019). Relative omega-3 PUFAs intake was associated with low blood pressure (p = 0.005–0.034) but had unfavorable effects on adiposity and alanine transaminase. Substitutional models showed similar results for omega-6 PUFAs on LDL-C, but MUFA had inconsistent effects on risk factors. The results from the compositional data analysis were consistent with previous studies and clinical practice/knowledge. Focusing on increasing omega-6 PUFAs in Japanese youths could have favorable consequences in the long term.     

A Log Ratio-Based Analysis of Individual Changes in the Composition of the Oral Microbiota in Different Dietary Phases

Background: Investigating the influence of nutrition on oral health has a long scientific history. Due to recent technical advances like sequencing techniques for the oral microbiota, this topic has gained scientific interest again. A basic challenge is to understand the influence of nutrition on the oral microbiota and on the interaction between the oral bacteria, which is also statistically challenging. Methods: Log-transformed ratios of two bacteria concentrations are introduced as the basic analytic tool. The framework is illustrated by application in an experimental study exposing eleven participants to different nutrition schemes in five consecutive phases. Results: The method could be sufficiently used to analyse the interrelation between the bacteria and to identify some bacterial groups with the same as well as different reactions to additional dietary components. It was found that the strongest changes in bacterial concentrations were achieved by the additional consumption of dairy products. Conclusion: A log ratio-based analysis offers insights into the relation of different bacteria while taking specific features of compositional data into account. The presented methods allow becoming independent of the behaviour of other bacteria, which is a disadvantage of common analysis methods of compositions. The results indicate that modulations of the oral biofilm microbiota due to nutrition change can be attained.     

Dietary Patterns Derived from UK Supermarket Transaction Data with Nutrient and Socioeconomic Profiles

Poor diet is a leading cause of death in the United Kingdom (UK) and around the world. Methods to collect quality dietary information at scale for population research are time consuming, expensive and biased. Novel data sources offer potential to overcome these challenges and better understand population dietary patterns. In this research we will use 12 months of supermarket sales transaction data, from 2016, for primary shoppers residing in the Yorkshire and Humber region of the UK (n = 299,260), to identify dietary patterns and profile these according to their nutrient composition and the sociodemographic characteristics of the consumer purchasing with these patterns. Results identified seven dietary purchase patterns that we named: Fruity; Meat alternatives; Carnivores; Hydrators; Afternoon tea; Beer and wine lovers; and Sweet tooth. On average the daily energy intake of loyalty card holders -who may buy as an individual or for a household- is less than the adult reference intake, but this varies according to dietary purchase pattern. In general loyalty card holders meet the recommended salt intake, do not purchase enough carbohydrates, and purchase too much fat and protein, but not enough fibre. The dietary purchase pattern containing the highest amount of fibre (as an indicator of healthiness) is bought by the least deprived customers and the pattern with lowest fibre by the most deprived. In conclusion, supermarket sales data offer significant potential for understanding population dietary patterns.     

Stakeholder experiences of using online spatial data visualisation tools for local public health decision support: A qualitative study

The distribution of food outlets within towns and cities and the provision of active travel infrastructure have been associated with health behaviours that can contribute to obesity risk. Decision-makers describe a lack of local data and research evidence as a barrier to policy adoption to improve the public's health. Online spatial data visualisation tools created by researchers can help to bridge this gap. We explored stakeholder experiences of using such tools for decision-support, with a focus on facilitators and barriers to use. We conducted 16 qualitative interviews with Public Health, Planning and Transport Planning professionals, who had used two recently-developed tools. Participants described the importance of tools being open access; their use in “story-telling”, particularly to non-experts; and more broadly their use even when imperfect. They expressed that ‘robustness’ of underpinning data was important, however this was not easily defined. Participants employed personal heuristics, principally based on endorsement and developer credibility, to determine suitability for use. We present key learning points for future developers to maximise engagement and impact.     

The superspreading places of COVID-19 and the associated built-environment and socio-demographic features: A study using a spatial network framework and individual-level activity data

Previous studies observed that most COVID-19 infections were transmitted by a few individuals at a few high-risk places (e.g., bars or social gathering venues). These individuals, often called superspreaders, transmit the virus to an unexpectedly large number of people. Further, a small number of superspreading places (SSPs) where this occurred account for a large number of COVID-19 transmissions. In this study, we propose a spatial network framework for identifying the SSPs that disproportionately spread COVID-19. Using individual-level activity data of the confirmed cases in Hong Kong, we first identify the high-risk places in the first four COVID-19 waves using the space-time kernel density method (STKDE). Then, we identify the SSPs among these high-risk places by constructing spatial networks that integrate the flow intensity of the confirmed cases. We also examine what built-environment and socio-demographic features would make a high-risk place to more likely become an SSP in different waves of COVID-19 by using regression models. The results indicate that some places had very high transmission risk and suffered from repeated COVID-19 outbreaks over the four waves, and some of these high-risk places were SSPs where most (about 80%) of the COVID-19 transmission occurred due to their intense spatial interactions with other places. Further, we find that high-risk places with dense urban renewal buildings and high median monthly household rent-to-income ratio have higher odds of being SSPs. The results also imply that the associations between built-environment and socio-demographic features with the high-risk places and SSPs are dynamic over time. The implications for better policymaking during the COVID-19 pandemic are discussed.     

超声弹性成像联合BI-RADS分类在乳腺微小癌诊断中的临床价值

目的:探讨在乳腺微小癌诊断中联合应用超声弹性成像及数据系统(BI-RADS)分类的临床价值。方法:选择2018年3月~2019年3月本院接收的疑似乳腺微小癌的96例患者作为研究对象。均进行超声弹性成像检查、BI-RADS分类,以病理检查结果为诊断金标准,比较单项检查与联合检查的准确率、灵敏度、特异度。结果:数据显示,在96例疑似乳腺微小癌患者中,共80例患者经病理检查确诊为乳腺微小癌,同时乳腺钼靶联合超声检查的准确性、灵敏度均高于单项检测,数据之间的差异有统计学意义(P<0.05)。此外,单项与联合检测的特异度对比,差异无统计学意义(P>0.05)。结论:在乳腺微小癌诊断中联合应用超声弹性成像及BI-RADS分类检查,可有效提高诊断准确性及灵敏度,对早期疾病诊断、临床治疗具有重要意义。     

The Hospital Frailty Risk Score Identifies Fewer Cases of Frailty in a Community-Based Cohort of Older Men Than the FRAIL Scale and Frailty Index

ObjectivesThe recently developed Hospital Frailty Risk Score (HFRS) allows ascertainment of frailty from administrative data. We aimed to compare the HFRS against the widely used FRAIL Scale and Frailty Index.DesignPopulation-based cohort study linked to Western Australian Hospital Morbidity Data Collection and Death Registrations.Setting and ParticipantsThe Health in Men Study with frailty determined at Wave 2 (2001/2004), mortality in the 1-year period following Wave 2, and disability at Wave 3 (2008). Participants were 4228 community-based men aged ≥75 years, followed until Wave 3.MeasurementsWe used multivariable regression to determine the association between each frailty measure and outcomes of length of stay (LOS), death, and disability. We also determined if the additional cases of frailty identified by one measure over the other was associated with these outcomes.ResultsOf 4228 men studied, the HFRS (n = 689) identified fewer men as frail than the FRAIL Scale (n = 1648) and Frailty Index (n = 1820). In the fully adjusted models, all 3 frailty measures were associated with longer LOS and mortality, whereas only the FRAIL Scale and Frailty Index were significantly associated with disability. The additional cases of frailty identified by the FRAIL Scale and Frailty Index had longer LOS and greater risks of death and disability. The fully adjusted hazard ratio for death among the additional cases of frailty identified by the FRAIL Scale (compared to being not frail on both HFRS and FRAIL Scale) was 2.14 (95% CI 1.48-3.08).Conclusions and ImplicationsThe HFRS is associated with adverse outcomes. However, it identified approximately 60% fewer men who were frail than the FRAIL Scale and Frailty Index, and the additional cases identified were also at high risks of adverse outcomes. Users of the HFRS should be aware of the differences with other frailty measures.