Notes

Community Fatality rate As a result of Breathing Syncytial Virus in Argentina: Population-based Monitoring Examine.
Abnormalities of lymphocyte subsets and cytokine profiles have been observed in most patients with coronavirus disease (COVID-19). Here, we explore the role of lymphocyte subsets and cytokines on hospital admission in predicting the severity of COVID-19.

This study included 214 patients with COVID-19 who were treated at Chongqing University Three Gorges Hospitalfrom January 19, 2020 to April 30, 2020. Any mutants were not detected in the studied patients. Patients were divided into non-intensive care unit (ICU) (mild/moderate) group and ICU (severe/critical) group, according to the severity of the disease. Clinical and laboratory data, including peripheral lymphocyte subsets and cytokines, were analyzed and compared. Logistic regression was used to analyze the predictive factors for ICU admission. 1-Methylnicotinamide Receiver operating characteristic (ROC) curves were drawn to evaluate the predictive value of selected indicators for the severity of COVID-19.

Of the 214 patients enrolled, 161 were non-ICU patients and 53 weital admission may serve as predictive factors for identifying patients with wild-type virus infection who will have severe disease.
Established prediction models of Diabetic kidney disease (DKD) are limited to the analysis of clinical research data or general population data and do not consider hospital visits. Construct a 3-year diabetic kidney disease risk prediction model in patients with type 2 diabetes mellitus (T2DM) using machine learning, based on electronic medical records (EMR).

Data from 816 patients (585 males) with T2DM and 3years of follow-up at the PLA General Hospital. 46 medical characteristics that are readily available from EMR were used to develop prediction models based on seven machine learning algorithms (light gradient boosting machine [LightGBM], eXtreme gradient boosting, adaptive boosting, artificial neural network, decision tree, support vector machine, logistic regression). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC). Shapley additive explanation (SHAP) was used to interpret the results of the best performing model.

The LightGBM model had the highest AUC (0.815, 95% CI 0.747-0.882). Recursive feature elimination with random forest and SHAP plot based on LightGBM showed that older patients with T2DM with high homocysteine (Hcy), poor glycemic control, low serum albumin (ALB), low estimated glomerular filtration rate (eGFR), and high bicarbonate had an increased risk of developing DKD over the next 3years.

This study constructed a 3-year DKD risk prediction model in patients with T2DM and normo-albuminuria using machine learning and EMR. The LightGBM model is a tool with potential to facilitate population management strategies for T2DM care in the EMR era.
This study constructed a 3-year DKD risk prediction model in patients with T2DM and normo-albuminuria using machine learning and EMR. The LightGBM model is a tool with potential to facilitate population management strategies for T2DM care in the EMR era.The term embodiment has become omnipresent within prosthetics research and is often used as a metric of the progress made in prosthetic technologies, as well as a hallmark for user acceptance. However, despite the frequent use of the term, the concept of prosthetic embodiment is often left undefined or described incongruently, sometimes even within the same article. This terminological ambiguity complicates the comparison of studies using embodiment as a metric of success, which in turn hinders the advancement of prosthetics research. To resolve these terminological ambiguities, we systematically reviewed the used definitions of embodiment in the prosthetics literature. We performed a thematic analysis of the definitions and found that embodiment is often conceptualized in either of two frameworks based on body representations or experimental phenomenology. We concluded that treating prosthetic embodiment within an experimental phenomenological framework as the combination of ownership and agency allows for embodiment to be a quantifiable metric for use in translational research. To provide a common reference and guidance on how to best assess ownership and agency, we conducted a second systematic review, analyzing experiments and measures involving ownership and agency. Together, we highlight a pragmatic definition of prosthetic embodiment as the combination of ownership and agency, and in an accompanying article, we provide a perspective on a multi-dimensional framework for prosthetic embodiment. Here, we concluded by providing recommendations on metrics that allow for outcome comparisons between studies, thereby creating a common reference for further discussions within prosthetics research.
There is no comprehensive guideline for respectful maternity care (RMC) promotion in Iran. This study aimed to design a RMC guideline based on a multiphase study.

In this multiphase mixed-methods study, recommendations were made for RMC promotion through the data obtained from Phase I (i.e., the quantitative section with a cross-sectional design), Phase II (i.e., the qualitative section with a content analysis method), and Phase III (i.e., focus group discussions with birth attendants as well as opinions of the specialized panel through the Delphi technique). The composed recommendations were then analyzed and finalized by relevant specialists in terms of execution capacity, approvability, and cost-effectiveness within the current context of Iran. Eventually, the resultant guideline were evaluated and approved by two members of the research team specializing in the research area in accordance with the Appraisal of Guideline for Research and Evaluation (AGREE).

The results of this multiphase study led toinancial, psychological, and legal needs.
This study explores the relationship between in vivo 4D flow cardiovascular magnetic resonance (CMR) derived blood flow energetics in the total cavopulmonary connection (TCPC), exercise capacity and CMR-derived liver fibrosis/congestion.

The Fontan circulation, in which both caval veins are directly connected with the pulmonary arteries (i.e. the TCPC) is the palliative approach for single ventricle patients. Blood flow efficiency in the TCPC has been associated with exercise capacity and liver fibrosis using computational fluid dynamic modelling. 4D flow CMR allows for assessment of in vivo blood flow energetics, including kinetic energy (KE) and viscous energy loss rate (EL).

Fontan patients were prospectively evaluated between 2018 and 2021 using a comprehensive cardiovascular and liver CMR protocol, including 4D flow imaging of the TCPC. Peak oxygen consumption (VO
) was determined using cardiopulmonary exercise testing (CPET). Iron-corrected whole liver T1 (cT1)mapping was performed as a marker oftion of patients with adverse TCPC flow efficiency.
Adverse 4D flow CMR derived KE and EL in the TCPC correlate with decreased exercise capacity and increased levels of liver fibrosis/congestion. 4D flow CMR is promising as a non-invasive screening tool for identification of patients with adverse TCPC flow efficiency.
Early first antenatal care visit is a critical health care service for the well-being of women and newborn babies. However, many women in Ethiopia still start their first antenatal care visit late. We aimed to examine the trend in delayed first antenatal care visit and identify the contributing factors for the trend change in delayed first antenatal care visits in Ethiopia over the study period 2000-2016.

We analyzed the data on reproductive-aged women from the four consecutive Ethiopian Demographic and Health Surveys to determine the magnitude and trend of delayed first antenatal care visit. A weighted sample of 2146 in 2000, 2051 in 2005, 3368 in 2011, and 4740 women in 2016 EDHS were involved in this study. All statistical analysis was undertaken using STATA 14. Multivariate logistic decomposition analysis was used to analyze the trends of delayed first antenatal care visit over time and the contributing factors to the change in delayed first antenatal care visit.

The prevalence of delayed first antetenatal care visit.
The prevalence of delayed first antenatal care visit in Ethiopia among women decreased significantly over time. More than halves (61%) decline in delayed first antenatal care visits was due to women's behavioral changes. Public health interventions targeting rural residents, poor household economic status and improving awareness about pregnancy-related complications would help to reduce the prevalence of delayed first antenatal care visit.
Cyclic GMP-AMP synthase (cGAS) is a crucial DNA sensor and plays an important role in host antiviral innate immune responses. During hepatitis B virus (HBV) infection, the cGAS signaling pathway can suppress HBV replication. As an important regulatory protein of HBV, hepatitis B virus X protein (HBx) may serve as an antagonistic character to the cGAS/STING signaling pathway. In this study, we aim to investigate the functional role of HBx in the cGAS/STING signaling pathway.

The effects of HBx on IFN-β promoter activity were measured by Dual-luciferase reporter assays. Ubiquitination and autophagy were analyzed by Western-blot and Co-immunoprecipitation assays.

Our results show that HBx down-regulates IFN-I production by directly promoting ubiquitination and autophagy degradation of cGAS.

HBV can antagonize host cGAS DNA sensing to promote HBV replication and provide novel insights to develop novel approaches against HBV infection.
HBV can antagonize host cGAS DNA sensing to promote HBV replication and provide novel insights to develop novel approaches against HBV infection.
Literature shows that women's sexual autonomy, which refers to women's capacity to refuse sexand ask a partner to use condom, has significant implications on the sexual and reproductive health outcomes and sexual-and-gender based violence. Nevertheless, there is scarcity of empirical evidence to support the association between women's sexual autonomy and intimate partner violence(IPV) in sub-Saharan Africa.

Data for the study were extracted from the recentDemographic and Health Surveys in 24 countries in sub-Saharan Africa between 2010 and 2019. Bivariable and multivariable binary logistic regression analyses were performed to examine the association between sexual autonomy and IPV in all the studied countries. Statistical significance was set at p < 0.05.

Thepooled prevalence of IPV and sexual autonomy in the 24 countries were 38.5% and 73.0% respectively. Overall, the odds of exposure toIPV were higher among women with sexual autonomy, compared to those without sexual autonomy even after controllino be passed and implemented, with law enforcement agencies provided with the necessary resources to reduce intimate partner violence among women with sexual autonomy.
Medication adherence plays a pivotal role in achieving the desired treatment outcomes. The proportion of HIV patients on second-line antiretroviral therapy is becoming a growing public health concern. However, to date, little attention has been given to second-line antiretroviral medication adherence. Moreover, the association between health facility characteristics and medication adherence has yet not been tested. Thus, this research was conducted to determine the magnitude of medication adherence and examine the role of facility-level determinants among HIV patients on second-line ART.

A cross-sectional study was conducted on 714 HIV patients on second-line therapy who were selected via systematic random sampling in twenty public health facilities. Medication adherence was measured using the six-item Simplified Medication Adherence Questionnaire (SMAQ) tool. Data were collected in a personal interview as well as document reviews. A multi-level binary logistic regression was used to uncover individual and facility-level determinants.
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