Related factors associated with the prognosis of children undergoing liver transplantation under the enhanced recovery after surgery nursing concept.

This study aimed to investigate factors associated with the clinical outcomes of patients who underwent pediatric liver transplantation (LT) and received enhanced recovery after surgery (ERAS) nursing. A cohort of 104 pediatric patients was studied at our hospital. Data on 8 indicators and 2 clinical outcomes, including length of hospital stay (LOS) and 30-day readmission rates, were collected. Linear and logistic regression analyses were employed to examine the associations of the 8 indicators with hospital-LOS and readmission risks, respectively. The predictive value of these indicators for the outcomes was determined using the receiver operating characteristic (ROC) curve, decision curve analysis, and importance ranking through the XGBoost method. A comprehensive model was developed to evaluate its predictive accuracy. Regression analyses identified donor age, donor gender, and intensive care unit (ICU)-LOS of recipients as significant predictors of hospital LOS (all P < .05), whereas no indicators were significantly associated with readmission risk. Further, ROC analysis revealed that 3 indicators provided superior prediction for 28-day hospital LOS compared to the median LOS of 18 days. ICU-LOS demonstrated the highest clinical net benefit for predicting 28-day hospital-LOS. Multivariable regression analysis confirmed the independent predictive value of donor age and ICU-LOS for the hospital-LOS (all ß > 0, all P < .05). Although the comprehensive model incorporating donor age and ICU-LOS showed stable predictive capability for hospital-LOS, its performance did not significantly exceed that of the individual indicators. In pediatric LT, hospital LOS warrants greater emphasis over readmission rates. Donor age and ICU-LOS emerged as independent risk factors associated with prolonged hospital LOS.

Association between dietary patterns and cardiovascular diseases: A review.

Cardiovascular disease (CVD), especially atherosclerosis, is the primary cause of global deaths. It accounts for millions of deaths annually. Even a small reduction in CVD through preventive treatment can have a substantial impact. Dietary patterns and substances are strongly linked to chronic diseases such as atherosclerosis, hypertension, heart failure, and type 2 diabetes. An unhealthy diet could lead to traditional risk factors such as LDL levels, TG levels, diabetes, and high blood pressure while accelerating atherosclerosis progression. Recent research has shown the potential of dietary interventions to prevent and treat cardiovascular disease, particularly through healthy dietary patterns such as the Mediterranean diet or DASH. In 2016, the World Health Organization (WHO) and the US Centers for Disease Control and Prevention (CDC) launched a new initiative aimed at enhancing the prevention and control of cardiovascular disease (CVD) by improving the management of CVD in primary care, including the optimization of dietary patterns. Here, this review summarizes several large cohort researches about the effects of dietary patterns on atherosclerosis, refines dietary components, and outlines some typical anti-atherosclerosis dietary agents. Finally, this review discusses recent mechanisms by which dietary interventions affect atherosclerosis progression.

A self-powered spiral droplet triboelectric sensor for real-time monitoring of patient infusion in nursing wards.

Monitoring of intravenous infusion together with an alarm system is significant for safety and automation operation in the process of clinical drug delivery for major medical institutions. However, there is still a lack of multifunctional sensors to monitor the whole infusion process, such as flow rate, drip rate, and temperature. Herein, we propose a self-powered droplet triboelectric sensor (SDTS) based on the principle of liquid-solid triboelectrification to monitor both intravenous infusion flow and infusion type. Such SDTS devices use two materials with different electrically charged properties to directly generate an electrical signal without any additional power supply, which is conducive to the formation of a large-scale detection system and for enhancing the convenience of medical treatment. The SDTS placed in a disposable infusion set has high potential application in clinical practice and is low cost and easy to prepare. Specifically, we demonstrate the feasibility of the detection of the current infusion flow rate and identification of the infusion medicine type according to the triboelectric signals, providing a new solution for real-time monitoring of patient infusion in nursing wards.