Transarterial chemoembolization with 125I seed insertion for multifocal hepatocellular carcinoma

Background

A common treatment strategy for individuals with multifocal hepatocellular carcinoma (HCC) who are not candidates for surgical resection is transarterial chemoembolization (TACE). Combining TACE with 125I seed insertion (ISI) may offer a means of enhancing therapeutic efficacy. The purpose of this study was to compare the therapeutic efficacy of TACE administered with and without ISI for the treatment of multifocal HCC.

Methods

The data from the two centers were analyzed retrospectively. The present study involved 85 consecutive patients with multifocal HCC who underwent TACE between January 2018 and December 2021. Of these patients, 43 were in the combined group, receiving TACE with ISI, and 42 were in the TACE-only group, receiving TACE without ISI. Comparisons of treatment outcomes were made between these groups.

Results

No significant differences in baseline data were observed between these groups of patients. Higher rates of complete (60.5% vs. 33.3%, P = 0.016) and total (93.0% vs. 61.9%, P = 0.001) responses were evident in the combined group compared to the TACE-only group. Median progression-free survival (PFS, 13 vs. 10 months, P = 0.014) and overall survival (OS, 22 vs. 17 months, P = 0.035) were also significantly longer in the combined group than in the TACE-only group. Using a Cox regression analysis, risk variables associated with shorter PFS and OS included Child-Pugh B status (P = 0.027 and 0.004) and only TACE treatment (P = 0.011 and 0.022).

Conclusion

In summary, these findings suggest that, as compared to TACE alone, combining TACE and ISI can enhance HCC patients' treatment outcomes and survival.

[Best evidence summary for awake prone positioning in treating hypoxemic due to COVID-19 infection]

Objective: To retrieve, evaluate, and summarize the best evidence for the treatment of hypoxemia in patients with COVID-19 infection using the awake prone positioning, with the aim of guiding healthcare professionals in the standardized implementation of this therapy. Methods: A systematic search was conducted in databases including UpToDate, BMJ Best Practice, JBI Evidence-Based Healthcare Center, American Association of Critical-Care Nurses, Intensive Care Society, European Respiratory Society, World Health Organization website, Cochrane Library, PubMed, China National Knowledge Infrastructure (CNKI), and Wanfang. The retrieved literature was subjected to quality assessment and evidence extraction. Results: A total of ten publications were included, consisting of one thematic evidence summary, one guideline, two systematic reviews, three randomized controlled trials, and three expert consensus statements. This summary synthesizes thirty key pieces of evidence in five categories: organizational management and training, risk assessment, preparatory operations, implementation key points, and risk control. Conclusions: Awake prone positioning is beneficial for improving hypoxemia in patients with COVID-19 and is easy to implement. Medical institutions should develop nursing management systems, operational standards, and best practices for awake prone positioning based on evidence-based evidence in order to improve the quality of care management for such patients.

Genetically Predicted Apolipoprotein E Levels with the Risk of Panvascular Diseases: A Mendelian Randomization Study

The aim of this study was to comprehensively assess the causal relationship between the overall genetic effect of circulating ApoE levels and panvascular lesions using newer genome-wide association data and two-sample bidirectional Mendelian randomization (MR) analysis. Two-way MR using single-nucleotide polymorphisms of circulating ApoE as instrumental variables was performed using the highest-priority Genome-wide association study (GWAS) data, with factor-adjusted and data-corrected statistics, to estimate causal associations between circulating ApoE levels and 10 pan-vascular diseases in > 500,000 UK Biobank participants, > 400,000 participants of Finnish ancestry, and numerous participants in a consortium of predominantly European ancestry. Meta-analysis was conducted to assess positive results. After correcting for statistical results, elevated circulating ApoE levels were shown to have a significant protective effect against Cerebral ischemia (CI) [IVW odds ratio (OR) 0.888, 95% Confidence Interval (CI): 0.823-0.958, p = 2.3 × 10-3], Coronary heart disease [IVW OR 0.950,95% CI: 0.924-0.976, p = 2.0 × 10-4] had a significant protective effect and potentially suggestive protective causality against Angina pectoris [IVW odds ratio (OR) 0.961, 95%CI: 0.931-0.991, p = 1.1 × 10-2]. There was a potential causal effect for increased risk of Heart failure (HF) [IVW ratio (OR) 1.040, 95%CI: 1.006-1.060, p = 1.8 × 10-2]. (Bonferroni threshold p < 0.0026, PFDR < 0.05) Reverse MR analysis did not reveal significant evidence of a causal effect of PVD on changes in circulating ApoE levels. Meta-analysis increases reliability of results. Elevated circulating ApoE levels were particularly associated with an increased risk of heart failure. Elevated ApoE levels reduce the risk of cerebral ischemia, coronary heart disease, and angina pectoris, reflecting a protective effect. The possible pathophysiological role of circulating ApoE levels in the development of panvascular disease is emphasized.

Effects of Solitaire AB stent thrombectomy with tirofiban and butylphthalide on neurological function and inflammatory factors in acute cerebral infarction patients

BACKGROUND

Acute cerebral infarction profoundly affects patients' neurological function and quality of life. This study explores the impact of Solitaire AB stent thrombectomy, combined with tirofiban and butylphthalide, on neurological function and inflammatory factors in patients with acute cerebral infarction.

METHODS

Seventy-three eligible patients treated between 2021 and 2023 were divided into a control group (Solitaire AB stent thrombectomy) and a treatment group (Solitaire AB stent thrombectomy with tirofiban and butylphthalide). Postoperative neurological function scores and inflammatory factor levels were analyzed.

RESULTS

The treatment group demonstrated a higher clinical effective rate, lower National Institutes of Health Stroke Scale scores at one day and seven days and higher Mini-Mental State Examination and Montreal Cognitive Assessment scores post-treatment. Inflammatory factor levels (Neuron Specific Enolase (NSE), S100-β, TNF-α and IL-6) were lower in the treatment group. No significant differences in adverse outcomes were observed.

CONCLUSION

Solitaire AB stent thrombectomy with tirofiban and butylphthalide shows superior efficacy, improving neurological function and inflammatory factors without increasing adverse outcomes. This offers valuable insights for clinical treatment of acute cerebral infarction.

A Planar Multi-Inertial Navigation Strategy for Autonomous Systems for Signal-Variable Environments

The challenge of precise dynamic positioning for mobile robots is addressed through the development of a multi-inertial navigation system (M-INSs). The inherent cumulative sensor errors prevalent in traditional single inertial navigation systems (INSs) under dynamic conditions are mitigated by a novel algorithm, integrating multiple INS units in a predefined planar configuration, utilizing fixed distances between the units as invariant constraints. An extended Kalman filter (EKF) is employed to significantly enhance the positioning accuracy. Dynamic experimental validation of the proposed 3INS EKF algorithm reveals a marked improvement over individual INS units, with the positioning errors reduced and stability increased, resulting in an average accuracy enhancement rate exceeding 60%. This advancement is particularly critical for mobile robot applications that demand high precision, such as autonomous driving and disaster search and rescue. The findings from this study not only demonstrate the potential of M-INSs to improve dynamic positioning accuracy but also to provide a new research direction for future advancements in robotic navigation systems.

Transarterial chemoembolization with insertion of radioactive seeds for hepatocellular carcinoma

Introduction

For patients diagnosed with hepatocellular carcinoma (HCC) not eligible for surgical tumor resection, transarterial chemoembolization (TACE) is commonly employed as a therapeutic strategy. After TACE is complete, a variety of other therapeutic approaches can be employed to improve patient overall survival (OS) and progression-free survival (PFS).

Aim

This study was developed with the goal of comparing the relative clinical efficacy and long-term outcomes observed in HCC patients who underwent combination TACE and radioactive seed insertion (RSI) treatment to those of patients who only underwent TACE treatment.

Material and methods

This retrospective analysis included a total of 80 patients with HCC who underwent treatment via TACE with (n = 39) or without (n = 41) RSI. Treatment responses and long-term outcomes in these two groups were compared with one another.

Results

The baseline characteristics of both groups were comparable. None of the patients experienced adverse complications related to treatment. Individuals in the combination treatment group experienced complete response (59.0% vs. 22.0%, p = 0.001) and total response (92.3% vs. 58.5%, p = 0.001) rates that were significantly better than those of patients that underwent TACE alone. Combination treatment was also associated with significant prolongation of patient PFS (13 vs. 7 months, p = 0.019) and OS (23 vs. 15 months, p = 0.005), with Cox regression analyses identifying combination treatment as a predictor of prolonged PFS and OS.

Conclusions

These data suggest that a combination of TACE and RSI can contribute to significant improvements in HCC patient therapeutic response rates, OS, and PFS relative to TACE alone.

TFP5, a Peptide Derived from Cdk5 Activator p35, Protects Pancreatic β Cells from Glucose Toxicity

We studied the effect of TFP5 on MIN6 cells (cultured mouse islet β cells) treated with different concentrations of glucose (5 or 25 mM). The results were verified in C57BL/6J mice (control; n=12) and db/db mice with type 2 diabetes mellitus (n=12). To synthesize TFP5, peptide p5 (a derivative of p35 protein, activator of cyclin-dependent kinase 5, Cdk5) was conjugated with a FITC tag at the N-terminus and an 11-amino acid TAT protein transduction domain at the C-terminus. TFP5 was employed to inhibit Cdk5 activity and then to evaluate its efficiency in treating experimental type 2 diabetes mellitus. TFP5 effectively inhibited the pathological hyperactivity of Cdk5, enhanced insulin secretion, and protected pancreatic β cells from apoptosis in vitro and in vivo. In addition, TFP5 inhibited inflammation in pancreatic islets by reducing the expression of inflammatory cytokines TGF-β1, TNFα, and IL-1β. These novel data indicates that TFP5 is a promising candidate for treatment of type 2 diabetes mellitus.

[Comparison of the predictive value of Padua and the IMPEDE assessment scores for venous thromboembolism in patients with newly diagnosed multiple myeloma: A single institution experience]

Objective: To compare the predictive efficacy of the two thrombosis risk assessment scores (Padua and IMPEDE scores) in venous thromboembolism (VTE) within 6 months in patients with newly diagnosed multiple myeloma (NDMM) in China. Methods: This study reviewed the clinical data of 421 patients with NDMM hospitalized in Beijing Jishuitan Hospital from April 2014 to February 2022. The sensitivity, specificity, accuracy, and Youden index of the two scores were calculated to quantify the thrombus risk assessment of VTE by the Padua and IMPEDE scores. The receiver operating characteristics curves of the two evaluation scores were drawn. Results: The incidence of VTE was 14.73%. The sensitivity, specificity, accuracy, and Youden index of the Padua score were 100%, 0%, 14.7%, and 0% and that of the IMPEDE score was 79%, 44%, 49.2%, and 23%, respectively. The areas under the curve of Padua and IMPEDE risk assessment scores were 0.591 and 0.722, respectively. Conclusion: IMPEDE score is suitable for predicting VTE within 6 months in patients with NDMM.

Probabilistic HIV recency classification-a logistic regression without labeled individual level training data

Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to those at greatest risk of new infection, and evaluating existing programs of prevention and treatment. Starting from 2015, the Population-based HIV Impact Assessment (PHIA) individual-level surveys are implemented in the most-affected countries in sub-Saharan Africa. PHIA is a nationally-representative HIV-focused survey that combines household visits with key questions and cutting-edge technologies such as biomarker tests for HIV antibody and HIV viral load which offer the unique opportunity of distinguishing between recent infection and long-term infection, and providing relevant HIV information by age, gender, and location. In this article, we propose a semi-supervised logistic regression model for estimating individual level HIV recency status. It incorporates information from multiple data sources - the PHIA survey where the true HIV recency status is unknown, and the cohort studies provided in the literature where the relationship between HIV recency status and the covariates are presented in the form of a contingency table. It also utilizes the national level HIV incidence estimates from the epidemiology model. Applying the proposed model to Malawi PHIA data, we demonstrate that our approach is more accurate for the individual level estimation and more appropriate for estimating HIV recency rates at aggregated levels than the current practice - the binary classification tree (BCT).

MRI presentations of Müllerian duct anomalies in association with unilateral renal agenesis

AIM

To evaluate the presentations of Müllerian duct anomalies (MDAs) associated with unilateral renal agenesis (URA) on magnetic resonance imaging (MRI).

MATERIALS AND METHODS

From 2014 to 2021, 92 patients with MDAs coexisting with URA who had undergone MRI were reviewed, and imaging patterns were analysed.

RESULTS

Based on the different imaging patterns, there were 74 cases of Herlyn-Werner-Wunderlich (HWW) syndrome (80.4%), nine cases of unicornuate uterus (10.9%), and nine cases of Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome (8.7%). In HWW syndrome, URA was ipsilateral to the vaginal or cervical obstruction. All the nine cases of unicornuate uterus were obstructive, and the most common subtype was unicornuate uterus with a non-communicating functioning rudimentary horn. The other two cases of unicornuate uterus with no rudimentary horn were obstructed due to cervical os obliteration, one of which was complicated with contralateral absent ovary. URA was contralateral to the unicornuate uterus in all cases. In MRKH syndrome, seven patients had bilateral rudiments and ovaries, all of which were unilaterally or bilaterally located above the pelvic brim, and URA was ipsilateral to the ectopic ovary in all cases. The other two patients had unilateral absent rudiment, ovary, and ipsilateral URA.

CONCLUSIONS

MRI presentations of URA-associated MDAs are diverse, with HWW syndrome being the most common form, followed by different patterns of unicornuate uterus and MRKH syndrome. An ectopic or absent ovary might be associated with URA in MRKH syndrome and unicornuate uterus.

A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations

Aggregated relational data (ARD), formed from "How many X's do you know?" questions, is a powerful tool for learning important network characteristics with incomplete network data. Compared to traditional survey methods, ARD is attractive as it does not require a sample from the target population and does not ask respondents to self-reveal their own status. This is helpful for studying hard-to-reach populations like female sex workers who may be hesitant to reveal their status. From December 2008 to February 2009, the Kiev International Institute of Sociology (KIIS) collected ARD from 10,866 respondents to estimate the size of HIV-related groups in Ukraine. To analyze this data, we propose a new ARD model which incorporates respondent and group covariates in a regression framework and includes a bias term that is correlated between groups. We also introduce a new scaling procedure utilizing the correlation structure to further reduce biases. The resulting size estimates of those most-at-risk of HIV infection can improve the HIV response efficiency in Ukraine. Additionally, the proposed model allows us to better understand two network features without the full network data: 1. What characteristics affect who respondents know, and 2. How is knowing someone from one group related to knowing people from other groups. These features can allow researchers to better recruit marginalized individuals into the prevention and treatment programs. Our proposed model and several existing NSUM models are implemented in the networkscaleup R package.

Mapping the number of female sex workers in countries across sub-Saharan Africa

Female sex workers (FSW) are affected by individual, network, and structural risks, making them vulnerable to poor health and well-being. HIV prevention strategies and local community-based programs can rely on estimates of the number of FSW to plan and implement differentiated HIV prevention and treatment services. However, there are limited systematic assessments of the number of FSW in countries across sub-Saharan Africa to facilitate the identification of prevention and treatment gaps. Here we provide estimated population sizes of FSW and the corresponding uncertainties for almost all sub-national areas in sub-Saharan Africa. We first performed a literature review of FSW size estimates and then developed a Bayesian hierarchical model to synthesize these size estimates, resolving competing size estimates in the same area and producing estimates in areas without any data. We estimated that there are 2.5 million (95% uncertainty interval 1.9 to 3.1) FSW aged 15 to 49 in sub-Saharan Africa. This represents a proportion as percent of all women of childbearing age of 1.1% (95% uncertainty interval 0.8 to 1.3%). The analyses further revealed substantial differences between the proportions of FSW among adult females at the sub-national level and studied the relationship between these heterogeneities and many predictors. Ultimately, achieving the vision of no new HIV infections by 2030 necessitates dramatic improvements in our delivery of evidence-based services for sex workers across sub-Saharan Africa.

A Unified Approach for Outliers and Influential Data Detection - The Value of Information in Retrospect

Identifying influential and outlying data is important as it would guide the effective collection of future data and the proper use of existing information. We develop a unified approach for outlier detection and influence analysis. Our proposed method is grounded in the intuitive value of information concepts and has a distinct advantage in interpretability and flexibility when compared to existing methods: it decomposes the data influence into the leverage effect (expected to be influential) and the outlying effect (surprisingly more influential than being expected); and it applies to all decision problems such as estimation, prediction, and hypothesis testing. We study the theoretical properties of three value of information quantities, establish the relationship between the proposed measures and classic measures in the linear regression setting, and provide real data analysis examples of how to apply the new value of information approach in the cases of linear regression, generalized linear mixed model, and hypothesis testing.

Effects of Laser Forming on the Mechanical Properties and Microstructure of DP980 Steel

Due to its high strength and good plasticity, dual-phase (DP) steel is widely used for manufacturing the structural and reinforcement components of automobiles. Therefore, it is urgent to investigate the mechanical properties and microstructure variation in DP steel after deformation, especially those subjected to hot-forming processes. In this study, the mechanical properties and microstructure of laser-formed DP980 steel plates under different laser parameters were investigated by means of monotonic tensile tests, microhardness tests, and metallographic tests. The results showed that both yield strength and tensile strength increased with increasing laser line energy in the range of 5~19 J/mm due to the increasing volume content of martensite laths. Elongation was slightly improved after the laser-forming process due to the existence of residual austenite. The average microhardness of the heat-affected zone also increased with an increase in laser line energy and reached a maximum of 412.8 HV_0.2-an improvement of 23.5% compared to that of the parent material.

A Bayesian hierarchical model for combining multiple data sources in population size estimation

To combat the HIV/AIDS pandemic effectively, targeted interventions among certain key populations play a critical role. Examples of such key populations include sex workers, people who inject drugs, and men who have sex with men. While having accurate estimates for the size of these key populations is important, any attempt to directly contact or count members of these populations is difficult. As a result, indirect methods are used to produce size estimates. Multiple approaches for estimating the size of such populations have been suggested but often give conflicting results. It is, therefore, necessary to have a principled way to combine and reconcile these estimates. To this end, we present a Bayesian hierarchical model for estimating the size of key populations that combines multiple estimates from different sources of information. The proposed model makes use of multiple years of data and explicitly models the systematic error in the data sources used. We use the model to estimate the size of people who inject drugs in Ukraine. We evaluate the appropriateness of the model and compare the contribution of each data source to the final estimates.

Automating document classification with distant supervision to increase the efficiency of systematic reviews: A case study on identifying studies with HIV impacts on female sex workers

There remains a limited understanding of the HIV prevention and treatment needs among female sex workers in many parts of the world. Systematic reviews of existing literature can help fill this gap; however, well-done systematic reviews are time-demanding and labor-intensive. Here, we propose an automatic document classification approach to a systematic review to significantly reduce the effort in reviewing documents and optimizing empiric decision making. We first describe a manual document classification procedure that is used to curate a pertinent training dataset and then propose three classifiers: a keyword-guided method, a cluster analysis-based method, and a random forest approach that utilizes a large set of feature tokens. This approach is used to identify documents studying female sex workers that contain content relevant to either HIV or experienced violence. We compare the performance of the three classifiers by cross-validation in terms of area under the curve of the receiver operating characteristic and precision and recall plot, and found random forest approach reduces the amount of manual reading for our example by 80%; in sensitivity analysis, we found that even trained with only 10% of data, the classifier can still avoid reading 75% of future documents (68% of total) while retaining 80% of relevant documents. In sum, the automated procedure of document classification presented here could improve both the precision and efficiency of systematic reviews and facilitate live reviews, where reviews are updated regularly. We expect to obtain a reasonable classifier by taking 20% of retrieved documents as training samples. The proposed classifier could also be used for more meaningfully assembling literature in other research areas and for rapid documents screening with a tight schedule, such as COVID-related work during the crisis.

Causal Structural Learning on MPHIA Individual Dataset

The Population-based HIV Impact Assessment (PHIA) is an ongoing project that conducts nationally representative HIV-focused surveys for measuring national and regional progress toward UNAIDS' 90-90-90 targets, the primary strategy to end the HIV epidemic. We believe the PHIA survey offers a unique opportunity to better understand the key factors that drive the HIV epidemics in the most affected countries in sub-Saharan Africa. In this article, we propose a novel causal structural learning algorithm to discover important covariates and potential causal pathways for 90-90-90 targets. Existing constrained-based causal structural learning algorithms are quite aggressive in edge removal. The proposed algorithm preserves more information about important features and potential causal pathways. It is applied to the Malawi PHIA (MPHIA) data set and leads to interesting results. For example, it discovers age and condom usage to be important for female HIV awareness; the number of sexual partners to be important for male HIV awareness; and knowing the travel time to HIV care facilities leads to a higher chance of being treated for both females and males. We further compare and validate the proposed algorithm using BIC and using Monte Carlo simulations, and show that the proposed algorithm achieves improvement in true positive rates in important feature discovery over existing algorithms.

Modeling the Marked Presence-only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi

Certain subpopulations like female sex workers (FSW), men who have sex with men (MSM), and people who inject drugs (PWID) often have higher prevalence of HIV/AIDS and are difficult to map directly due to stigma, discrimination, and criminalization. Fine-scale mapping of those populations contributes to the progress towards reducing the inequalities and ending the AIDS epidemic. In 2016 and 2017, the PLACE surveys were conducted at 3,290 venues in 20 out of the total 28 districts in Malawi to estimate the FSW sizes. These venues represent a presence-only data set where, instead of knowing both where people live and do not live (presence-absence data), only information about visited locations is available. In this study, we develop a Bayesian model for presence-only data and utilize the PLACE data to estimate the FSW size and uncertainty interval at a 1.5 × 1.5-km resolution for all of Malawi. The estimates can also be aggregated to any desirable level (city/district/region) for implementing targeted HIV prevention and treatment programs in FSW communities, which have been successful in lowering the incidence of HIV and other sexually transmitted infections.

Evolution of MET and NRAS gene amplification as acquired resistance mechanisms in EGFR mutant NSCLC

EGFR mutant non-small cell lung cancer patients' disease demonstrates remarkable responses to EGFR-targeted therapy, but inevitably they succumb to acquired resistance, which can be complex and difficult to treat. Analyzing acquired resistance through broad molecular testing is crucial to understanding the resistance mechanisms and developing new treatment options. We performed diverse clinical testing on a patient with successive stages of acquired resistance, first to an EGFR inhibitor with MET gene amplification and then subsequently to a combination EGFR and MET targeted therapies. A patient-derived cell line obtained at the time of disease progression was used to identify NRAS gene amplification as an additional driver of drug resistance to combination EGFR/MET therapies. Analysis of downstream signaling revealed extracellular signal-related kinase activation that could only be eliminated by trametinib treatment, while Akt activation could be modulated by various combinations of MET, EGFR, and PI3K inhibitors. The combination of an EGFR inhibitor with a MEK inhibitor was identified as a possible treatment option to overcome drug resistance related to NRAS gene amplification.

Thirty Years of The Network Scale-up Method

Estimating the size of hard-to-reach populations is an important problem for many fields. The Network Scale-up Method (NSUM) is a relatively new approach to estimate the size of these hard-to-reach populations by asking respondents the question, "How many X's do you know," where X is the population of interest (e.g. "How many female sex workers do you know?"). The answers to these questions form Aggregated Relational Data (ARD). The NSUM has been used to estimate the size of a variety of subpopulations, including female sex workers, drug users, and even children who have been hospitalized for choking. Within the Network Scale-up methodology, there are a multitude of estimators for the size of the hidden population, including direct estimators, maximum likelihood estimators, and Bayesian estimators. In this article, we first provide an in-depth analysis of ARD properties and the techniques to collect the data. Then, we comprehensively review different estimation methods in terms of the assumptions behind each model, the relationships between the estimators, and the practical considerations of implementing the methods. We apply many of the models discussed in the review to one canonical data set and compare their performance and unique features, presented in the supplementary materials. Finally, we provide a summary of the dominant methods and an extensive list of the applications, and discuss the open problems and potential research directions in this area.

Alcohol Consumption and Risk of Rheumatoid Arthritis among Chinese Adults: A Prospective Study

Alcohol consumption may be associated with the risk of rheumatoid arthritis (RA), but potential sex-related differences in this association have not been explored. Thus, we utilized 87,118 participants in the Kailuan Study, a prospective cohort initiated in 2006 to study the risk factors of cardiovascular disease in a Chinese population. We included those that did not have RA at baseline (2006), and performed cox proportional hazard modeling to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) of RA according to the levels of alcohol consumption (never or past, light or moderate (<1 serving/day for women, <2 servings/day for men), and heavy (>1 serving/day for women, >2 servings/day for men), adjusting for age, sex, body mass index, and smoking. Diagnoses of RA were confirmed via medical record review by rheumatologists. From 2006 to 2018, we identified 87 incident RA cases. After adjusting for potential confounders, the HR of RA was 1.26 (95% CI: 0.62, 2.56) for participants with light or moderate alcohol consumption and 1.98 (95% CI: 0.93, 4.22) for participants with heavy alcohol consumption) versus non-drinkers. The HR of each 10 g increase in alcohol consumption was 1.11 (95% CI: 0.98, 1.26) (p-trend = 0.09). A significant association between alcohol consumption and RA risk was observed in women, but not in men (p for interaction = 0.06). Among women, each 10 g increase in alcohol consumption was significantly associated with a high risk of RA (HR: 1.56; 95% CI: 1.06, 2.29). In contrast, each 10 g increase in alcohol consumption was not significantly associated with the risk of RA in men (HR: 1.10; 95% CI: 0.97, 1.25). Excluding past drinkers generated similar results. In this prospective Chinese cohort, increasing alcohol consumption was associated with an elevated risk of RA among women, but not in men. These findings highlight the importance of incorporating analysis of sex differences into future studies of alcohol consumption and RA risk.

The risk of ischemic stroke and hemorrhagic stroke in Chinese adults with low-density lipoprotein cholesterol concentrations < 70 mg/dL

BACKGROUND

The risk of stroke in individuals with very low low-density lipoprotein cholesterol (LDL-C) concentrations remains high. We sought to prioritize predictive risk factors for stroke in Chinese participants with LDL-C concentrations < 70 mg/dL using a survival conditional inference tree, a machine learning method.

METHODS

The training dataset included 9327 individuals with LDL-C concentrations < 70 mg/dL who were free of cardiovascular diseases and did not use lipid-modifying drugs from the Kailuan I study (N = 101,510). We examined the validity of this algorithm in a second Chinese cohort of 1753 participants with LDL-C concentrations < 70 mg/dL from the Kailuan II study (N = 35,856).

RESULTS

During a mean 8.5-9.0-year follow-up period, we identified 388 ischemic stroke cases and 145 hemorrhagic stroke cases in the training dataset and 20 ischemic stroke cases and 8 hemorrhagic stroke cases in the validation dataset. Of 15 examined predictors, poorly controlled blood pressure and very low LDL-C concentrations (≤ 40 mg/dL) were the top hierarchical predictors of both ischemic stroke risk and hemorrhagic stroke risk. The groups, characterized by the presence of 2-3 of aforementioned risk factors, were associated with a higher risk of ischemic stroke (hazard ratio (HR) 7.03; 95% confidence interval (CI) 5.01-9.85 in the training dataset; HR 4.68, 95%CI 1.58-13.9 in the validation dataset) and hemorrhagic stroke (HR 3.94, 95%CI 2.54-6.11 in the training dataset; HR 4.73, 95%CI 0.81-27.6 in the validation dataset), relative to the lowest risk groups (presence of 0-1 of these factors). There was a linear association between cumulative average LDL-C concentrations and stroke risk. LDL-C concentrations ≤ 40 mg/dL was significantly associated with increased risk of ischemic stroke (HR 2.07, 95%CI 1.53, 2.80) and hemorrhagic stroke (HR 2.70, 95%CI 1.70, 4.30) compared to LDL-C concentrations of 55-70 mg/dL, after adjustment for age, hypertension status, and other covariates.

CONCLUSION

Individuals with extremely low LDL-C concentrations without previous lipid-modifying treatment could still be at high stroke risk.

TRIAL REGISTRATION

Chinese Clinical Trial Register, ChiCTR-TNRC-11001489 . Registered on 24-08-2011.

Using factor analyses to estimate the number of female sex workers across Malawi from multiple regional sources

PURPOSE

Human immunodeficiency virus (HIV) risks are heterogeneous in nature even in generalized epidemics. However, data are often missing for those at highest risk of HIV, including female sex workers. Statistical models may be used to address data gaps where direct, empiric estimates do not exist.

METHODS

We proposed a new size estimation method that combines multiple data sources (the Malawi Biological and Behavioral Surveillance Survey, the Priorities for Local AIDS Control Efforts study, and the Malawi Demographic Household Survey). We used factor analysis to extract information from auxiliary variables and constructed a linear mixed effects model for predicting population size for all districts of Malawi.

RESULTS

On average, the predicted proportion of female sex workers among women of reproductive age across all districts was about 0.58%. The estimated proportions seemed reasonable in comparing with a recent study Priorities for Local AIDS Control Efforts II (PLACE II). Compared with using a single data source, we observed increased precision and better geographic coverage.

CONCLUSIONS

We illustrate how size estimates from different data sources may be combined for prediction. Applying this approach to other subpopulations in Malawi and to countries where size estimate data are lacking can ultimately inform national modeling processes and estimate the distribution of risks and priorities for HIV prevention and treatment programs.

Evaluating the relative contribution of data sources in a Bayesian analysis with the application of estimating the size of hard to reach populations

When using multiple data sources in an analysis, it is important to understand the influence of each data source on the analysis and the consistency of the data sources with each other and the model. We suggest the use of a retrospective value of information framework in order to address such concerns. Value of information methods can be computationally difficult. We illustrate the use of computational methods that allow these methods to be applied even in relatively complicated settings. In illustrating the proposed methods, we focus on an application in estimating the size of hard to reach populations. Specifically, we consider estimating the number of injection drug users in Ukraine by combining all available data sources spanning over half a decade and numerous sub-national areas in the Ukraine. This application is of interest to public health researchers as this hard to reach population that plays a large role in the spread of HIV. We apply a Bayesian hierarchical model and evaluate the contribution of each data source in terms of absolute influence, expected influence, and level of surprise. Finally we apply value of information methods to inform suggestions on future data collection.

What Can We Learn from the Travelers Data in Detecting Disease Outbreaks -- A Case Study of the COVID-19 Epidemic

BACKGROUND

Travel is a potent force in the emergence of disease. We discussed how the traveler case reports could aid in a timely detection of a disease outbreak.

METHODS

Using the traveler data, we estimated a few indicators of the epidemic that affected decision making and policy, including the exponential growth rate, the doubling time, and the probability of severe cases exceeding the hospital capacity, in the initial phase of the COVID-19 epidemic in multiple countries. We imputed the arrival dates when they were missing. We compared the estimates from the traveler data to the ones from domestic data. We quantitatively evaluated the influence of each case report and knowing the arrival date on the estimation.

FINDINGS

We estimated the travel origin's daily exponential growth rate and examined the date from which the growth rate was consistently above 0.1 (equivalent to doubling time < 7 days). We found those dates were very close to the dates that critical decisions were made such as city lock-downs and national emergency announcement. Using only the traveler data, if the assumed epidemic start date was relatively accurate and the traveler sample was representative of the general population, the growth rate estimated from the traveler data was consistent with the domestic data. We also discussed situations that the traveler data could lead to biased estimates. From the data influence study, we found more recent travel cases had a larger influence on each day's estimate, and the influence of each case report got smaller as more cases became available. We provided the minimum number of exported cases needed to determine whether the local epidemic growth rate was above a certain level, and developed a user-friendly Shiny App to accommodate various scenarios.

Comparison of HIV prevalence among antenatal clinic attendees estimated from routine testing and unlinked anonymous testing

In 2015, WHO and UNAIDS released new guidance recommending that countries transition from conducting antenatal clinic (ANC) unlinked anonymous testing (ANC-UAT) for tracking HIV prevalence trends among pregnant women to using ANC routine testing (ANC-RT) data, which are more consistent and economic to collect. This transition could pose challenges for distinguishing whether changes in observed prevalence are due to a change in underlying population prevalence or due to a change in the testing approach. We compared the HIV prevalence measured from ANC-UAT and ANCRT in 15 countries that had both data sources in overlapping years. We used linear mixed-e effects model (LMM) to estimate the RT-to-UAT calibration parameter as well as other unobserved quantities. We summarized the results at different levels of aggregation (e.g., country, urban, rural, and province). Based on our analysis, the HIV prevalence measured by ANC-UAT and ANC-RT data are consistent in most countries. Therefore, if large discrepancy is observed between ANC-UAT and ANC-RT at the same location, we recommend that people should be cautious and investigate the reason. For countries that lack information to estimate the calibration parameter, we propose an informative prior distribution of mean 0 and standard deviation 0.2 for the RT-to-UAT calibration parameter.

Size distribution of particulate matter in runoff from different leaf surfaces during controlled rainfall processes

The presence of plant leaves has been shown to lower the risks of health problems by reducing atmospheric particulate matter (PM). Leaf PM accumulation capacity will saturate in the absence of runoff. Rainfall is an effective way for PM to "wash off" into the soil and renew leaf PM accumulation. However, little is known about how PM wash-off varies with PM size and health problems caused by particulate pollution vary with PM size. This study thus used artificial rainfall with six plant species to find out how size-fractioned PM are washed off during rain processes. Total wash-off masses in fine, coarse and large fractions were 0.6-10.3 μg/cm², 1.0-18.8 μg/cm² and 4.5-60.1 μg/cm² respectively. P. orientalis (cypress) and E. japonicus (evergreen broadleaved shrub) had the largest wash-off masses in each fraction during rainfall. P. cerasifera (deciduous broadleaved shrub) had the largest cumulative wash-off rates in each fraction. Rainfall intensity had more influence on wash-off masses and rates of large particles for six species and for small particles in evergreen species, but limited effect on wash-off proportions. Wash-off proportions decreased in large particles and increased in small particles along with rainfall. The results provide information for PM accumulation renewal of plants used for urban greening.

Cyclic hydrostatic compress force regulates apoptosis of meniscus fibrochondrocytes via integrin α5β1

Meniscus is a semilunar fibrocartilaginous tissue, serving important roles in load buffering, stability, lubrication, proprioception, and nutrition of the knee joint. The degeneration and damage of meniscus has been proved to be a risk factor of knee osteoarthritis. Mechanical stimulus is a critical factor of the development, maintenance and repair of the meniscus fibrochondrocytes. However, the mechanism of the mechano-transduction process remains elusive. Here we reported that cyclic hydrostatic compress force (CHCF) treatment promotes proliferation and inhibits apoptosis of the isolated primary meniscus fibrochondrocytes (PMFs), via upregulating the expression level of integrin α5β1. Consequently, increased phosphorylated-ERK1/2 and phosphorylated-PI3K, and decreased caspase-3 were detected. These effects of CHCF treatment can be abolished by integrin α5β1 inhibitor or specific siRNA transfection. These data indicate that CHCF regulates apoptosis of PMFs via integrin α5β1-FAK-PI3K/ERK pathway, which may be an important candidate approach during meniscus degeneration.

[Clinical research of minimally invasive spine surgery with Vesselplasty]

Objective: To evaluate the efficacy and safety of Vesselplasty in the treatment of osteoporotic vertebral fractures and vertebral metastases. Methods: From June 2010 to December 2016, data of 81 patients with spinal diseases treated with Vesselplasty in Department of Spinal Surgery, Beijing Friendship hospital, Capital Medical University were retrospectively analyzed. There are 49 cases of vertebral fractures with age (70.2±8.2) years. Among them, 16 cases have posterior vertebral wall breakage, but no symptoms of nerve injury. Clinical result were evaluated with Visual Analogue Scale(VAS) , the kyphotic angle(Cobb's angle) and Oswestry disability index(ODI) was measured preoperatively, postoperatively and follow-up. At the same time, the operation time and cement leakage were recorded. There were 32 patients with vertebral metastases, with age of (69.6±11.1) years old. The posterior wall of the vertebral body was damaged in 22 cases. The VAS scores were recorded and compared preoperatively and postoperatively. The operation time was recorded also. Results: All patients were completed the operation safely and with no complications. Compared with preoperative VAS, postoperative VAS was significantly decreased in all subjects(P<0.05). The average operation time of each vertebral body was 16.2±4.6 min, and the postoperative VAS score significantly decreased (P<0.05), Cobb 's angle from preoperative (13.9±6.0) ° to( 5.2±4.0) ° (P<0.05) in 49 cases of vertebral fracture(58 vertebrae). The clinical results were still satisfied in follow-up . In 32 cases of vertebral metastases(38 vertebrae), the average operation time was (17.6±5.4) min. The postoperative VAS score was obviously decreased also(P<0.05). A small amount of bone cement leakage occurred in 4 cases of 4 vertebrae. The rate of bone cement leakage was 4.2%, but there were no clinical symptoms in these cases. Conclusion: Vesselplasty is a safe and effective treatment of osteoporotic vertebral fractures and vertebral metastases. It can lead to satisfactory clinical effect, partial recovery of vertebral height. Besides, the bone filling mesh can reduce the risk of bone cement leakage, which can provide a new choice for minimally invasive treatment of vertebral fracture and metastases.

Ursolic acid promotes the apoptosis of cervical cancer cells by regulating endoplasmic reticulum stress

AIM

Ursolic acid is a triterpenoid common in plants and exhibits anti-carcinogenic activity. This study aimed to reveal the role of endoplasmic reticulum stress in cervical cancer cell apoptosis promoted by ursolic acid.

METHODS

HeLa cells were treated with ursolic acid or/and 4-phenylbutyric acid. The viability and apoptosis of HeLa cells were evaluated by MTT assay and flow cytometry, respectively.

RESULTS

Ursolic acid decreased HeLa cell viability in a time- and dose- dependent manner, and induced HeLa cell apoptosis in a dose-dependent manner. Moreover, ursolic acid increased the expression of C/EBP homologous protein and glucose-regulated protein 78 at protein levels, while 4-phenylbutyric acid antagonized the apoptosis of HeLa cells induced by ursolic acid.

CONCLUSION

Ursolic acid inhibits the viability and promotes the apoptosis of HeLa cells. Endoplasmic reticulum stress may mediate the apoptosis of cervical cancer cells stimulated by ursolic acid.

Bayesian Estimation of MSM Population Size in Côte d'Ivoire

Côte d'Ivoire has among the most generalized HIV epidemics in West Africa with an estimated half million people living with HIV. Across West Africa, key populations, including gay men and other men who have sex with men (MSM), are often disproportionately burdened with HIV due to specific acquisition and transmission risks. Quantifying population sizes of MSM at the subnational level is critical to ensuring evidence-based decisions regarding the scale and content of HIV prevention interventions. While survey-based direct estimates of MSM numbers are available in a few urban centers across Côte d'Ivoire, no data on MSM population size exists in other areas without any community group infrastructure to facilitate sufficient access to communities of MSM. The data are used in a Bayesian regression setup to produce estimates of the numbers of MSM in areas of Côte d'Ivoire prioritized in the HIV response. Our hierarchical model imputes missing covariates using geo-spatial information and allows for proper uncertainty quantification leading to confidence bounds for predicted MSM population size estimates. This process provided population size estimates where there are no empirical data, to guide the prioritization of further collection of empirical data on MSM and inform evidence-based scaling of HIV prevention and treatment programs for MSM across Côte d'Ivoire.

A FUS-LATS1/2 Axis Inhibits Hepatocellular Carcinoma Progression via Activating Hippo Pathway

BACKGROUND/AIMS

The roles and related mechanisms of RNA binding protein FUS (fused in sarcoma/translocated in liposarcoma) are unclear in numerous cancers, including hepatocellular carcinoma (HCC).

METHODS

Quantitative reverse transcription PCR (qRT-PCR), western blot, cell viability, transwell migration and invasion, tumor spheres formation and in vivo tumor formation assays were used to examine the effects of FUS on HCC progression in HuH7 and MHCC97 cells. Additionally, transcriptome analysis based on RNA-sequencing data, qRT-PCR, western blots, luciferase reporter and RNA binding protein immunoprecipitation (RIP) assays were used to explore the LATS1/2 (large tumor suppressor kinases 1/2)-related mechanisms contributing to FUS functions. Finally, qRT-PCR and western blot analysis were used to detect the levels of FUS and LATS1/2 in HCC and adjacent normal tissues, and the correlation between them in HCC tissues.

RESULTS

Overexpression of FUS decreased cell viability, migration, invasion and stemness. Moreover, FUS interacted and stabilized LATS1/2 stability, and thus promoted LATS1/2 expression and activated Hippo pathway. Finally, FUS and LAST1/2 levels were positively correlated and significantly down-regulated in HCC tissues.

CONCLUSION

We demonstrate that FUS/LATS1/2 axis inhibits HCC progression via activating Hippo pathway.

Tea Consumption and Longitudinal Change in High-Density Lipoprotein Cholesterol Concentration in Chinese Adults

Background

The relation between tea consumption and age‐related changes in high‐density lipoprotein cholesterol (HDL‐C) concentrations remains unclear, and longitudinal human data are limited. The aim of current study was to examine the relation between tea intake and longitudinal change in HDL‐C concentrations.

Methods and Results

Baseline (2006) tea consumption was assessed via a questionnaire, and plasma HDL‐C concentrations were measured in 2006, 2008, 2010, and 2012 among 80 182 individuals (49±12 years of age) who did not have cardiovascular diseases or cancer, or did not use cholesterol‐lowering agents both at baseline (2006) and during the follow‐up period (2006–2012). The associations between baseline tea consumption and rate of change in HDL‐C concentrations were examined using generalized estimating equation models. Tea consumption was inversely associated with a decreased rate of HDL‐C concentrations (P‐trend <0.0001) in the fully adjusted model. The adjusted mean difference in the HDL‐C decreased rate was 0.010 (95% confidence interval, 0.008, 0.012) mmol/L per year for tea consumers versus nonconsumers (never or less than once/month group). Interactions between tea consumption and age, sex, lifestyle scores, and metabolic syndrome (all P‐interaction <0.0001) were identified. The associations between greater tea consumption and slower decrease in HDL‐C concentrations were more pronounced in men, individuals aged 60 or older, individuals with a lower lifestyle score, and individuals with metabolic syndrome (all P‐trend <0.0001).

Conclusions

Tea consumption was associated with slower age‐related decreases in HDL‐C concentrations during 6 years of follow‐up.

Clinical Trial Registration

URL: http://www.chictr.org. Unique identifier: ChiCTR‐TNRC‐11001489.

[Professor B. Jigmed's conception on the division of stages of history of Mongolian medicine]

The division of stages on the formation and development of Mongolian medicine is a major issue on the history of Mongolian medicine. Based on Mongolian social, economic and cultural development and the characteristics of Mongolian medicine itself, Professor B. Jigmed creatively puts forward the three stages of development of ancient and modern times of Mongolian medicine. He also reasonably sorts out historical materials to comprehensively and systematically display the general picture of its development. This approach exerts great effect on restructuring the body of Mongolian medicine itself, unveils its rule of development, and promotes its disciplinary construction.

Cauliflower-like Neoplasm of Duodenal Papilla in a Liver Transplant Recipient: What Should We Think and Do? A Case Report

BACKGROUND

With the continuous improvement of liver transplantation technology, the survival rate of liver transplantation has been improved, but recurrent or de novo malignancy remains one of the major factors affecting the long-term survival of liver transplant recipients.

CASE REPORT

A 45-year-old Chinese man had a plastic biliary stent placed on account of biliary anastomotic stenosis after 3 years of piggyback liver transplantation. He came to our hospital because of recurrent fever and jaundice for 2 weeks, and his carcinoembryonic antigen-199 had increased. The patient's duodenal papillary was cauliflower-like at endoscopic retrograde cholangiopancreatography to replace the biliary stent. He was initially suspected of having duodenal papillary carcinoma after liver transplantation. However, the pathology from endoscopic retrograde cholangiopancreatography and endoscopic ultrasound-guided biopsy showed inflammation. While awaiting the result of biopsy, his CA-199 decreased significantly after anti-infection and symptomatic treatment. The patient was diagnosed with biliary anastomotic stenosis and duodenal papillitis. He was discharged uneventfully; to date, there is no evidence of malignant tumor.

CONCLUSIONS

We report this case to provide helpful information to clinicians about the management of the duodenal papilla cauliflower-like neoplasm after liver transplantation, which should be considered as inflammatory first. Perhaps our view can avoid the risk of bringing an excessive medical treatment and unnecessary economic burden to patients and their families.

Influence of rainfall duration and intensity on particulate matter removal from plant leaves

Rainfall influences removal of airborne particulate matter (PM) from leaf surfaces through a process called wash off resulting in throughfall that carries PM to the ground. The present study examined the effects of rainfall characteristics on PM wash-off mass and rate from the foliage of four broadleaf species, to investigate retention of PM pollution. In a controlled rainfall simulation experiment, rainfall intensity was set to 15, 30, and 50mmh^-1, and sampling intervals for the three rainfall intensities were divided into 10, 5, and 3min, respectively. Of the plants examined, the evergreen shrub Euonymus japonicus had the greatest surface PM accumulation before rainfall (165μgcm^-2), maximum wash-off during the first 2.5mm of rain (30μgcm^-2), and maximum surface PM retention after rainfall (24μgcm^-2). Fitting observations with the Box Lucas regression model, cumulative PM wash-off rates increased with cumulative rainfall amount, until the curves tended to become steady after rain exceeded 12.5mm. Wash off removed 51 to 70% of surface PM accumulation. As rainfall intensity increased, the duration of PM wash-off decreased, and wash-off rates were highest during the first rainfall interval. However, there was no significant difference between PM wash-off rates for rainfall intensities of 30 and 50mmh^-1 in each rainfall interval. In addition, rain did not remove all PM completely, and PM retention following rainfall differed with rainfall intensity, except for Populus tomentosa.

Conditional Inference Tree for Multiple Gene-Environment Interactions on Myocardial Infarction

BACKGROUND AND AIMS

Identifying gene-environment interaction in the context of multiple environmental factors has been a challenging task. We aimed to use conditional inference tree (CTREE) to strata myocardial infarction (MI) risk synthesizing information from both genetic and environmental factors.

METHODS

We conducted a case-control study including 1440 Chinese men (730 MI patients and 710 controls). We first calculated a weighted genetic risk score (GRS) by combining 25 single nucleotide polymorphisms (SNPs) that had been identified to be associated with coronary artery diseases in previous genome wide association studies. We then developed a CTREE model to interpret the gene-environment interaction network in predicting MI.

RESULTS

We detected high-order interactions between dyslipidemia, GRS, smoking status, age and diabetes. Of all the variables examined, high density lipoprotein cholesterol (HDL-C) of 1.25 mmlo/L was identified as the key discriminator. The subsequent splits of MI were low density lipoprotein cholesterol (LDL-C) of 4.01 mmol/L and GRS of 20.9. We found that individuals with HDL-C ≤1.25 mmol/L, GRS >20.9 and lipoprotein (a) > 0.09 g/L had a higher risk of MI than those who at the lowest risk group (OR: 5.89, 95% CI: 3.99-8.69). This magnitude of MI risk was similar to the combination of HDL-C ≤1.25 mmol/L, GRS ≤20.9, smoking and lipoprotein (a) > 0.15 g/L (OR: 5.49, 95% CI: 3.51-8.58).

CONCLUSIONS

The multiple interactions between genetic and environmental factors can be visually present via the CTREE approach. The tree diagram also simplifies the decision making procedure by answering a sequence of questions along the branches.