Purpose To explore the value of 5.0T MRI arterial spin labeling and morphological indexes for staging chronic kidney disease(CKD).Materials and Methods Ninety-five patients with CKD in Chongqing University Three Gorges Hospital from January to August 2024 were collected prospectively,all of whom underwent 5.0T MRI routine and arterial spin labeling examination with calculation of renal blood flow(RBF)and morphological evaluation.According to the estimated glomerular filtration rate(eGFR),the patients were categorized into early CKD group[eGFR 60-89 ml/(min?1.73 m2)]and intermediate-late CKD group[eGFR<59 ml/(min?1.73 m2)]and were further divided into stage 1-5.The differences in RBF between early and intermediate-late CKD patients were compared,and the differences in morphological indexes among different stages of CKD were also analyzed.Binary Logistic regression analysis was used to screen for independent influences on early or intermediate-late CKD staging.Receiver operating characteristic curve was used to evaluate the diagnostic efficacy of RBF values and morphological indexes for early CKD.RBF in CKD stages 1-5 were compared,with Bonferroni pairwise comparisons.The correlation between RBF values and both clinical and morphological indexes were also assessed.Results Whether in CKD stage 2 or 5,morphological factors affecting CKD staging were renal parenchymal signal,renal corticomedullary demarcation,renal volume and renal envelope(χ2=53.715,73.368,36.488,56.688,35.630,39.499,28.520,32.632,all P<0.001).In CKD stage 2,the independent influences screened by multivariate binary Logistic regression analysis were renal parenchymal signal(P<0.001)and renal corticomedullary demarcation(P=0.021).Both renal RBF values in early CKD were significantly higher than that in intermediate-late CKD(Z=-5.975,-5.885,both P<0.001).The areas under the curve for diagnosing early CKD using mean RBF of both kidneys,morphological indexes,and the combination of mean RBF with renal morphological indexes were 0.854,0.932 and 0.951,respectively.RBF values for both kidneys showed statistically significant differences among the five CKD stages(left:H=48.738;right:H=48.102,both P<0.001)and between non-adjacent stages(all P<0.05).Both kidneys RBF values showed a positive correlation with renal parenchymal signal and renal corticomedullary demarcation(left:r=0.600,0.503;right:r=0.550,0.504,both P<0.001).Conclusion The integration of arterial spin labeling and morphological assessment on 5.0T MRI enables a noninvasive and precise functional and morphological evaluation of early renal damage in CKD patients,providing a foundation for subsequent clinical CKD staging.

Currently,there is a paucity of efficacious treatments for acute kidney injury(AKI),and existing therapeutic ap-proaches primarily aim to mitigate symptoms and enhance patient outcomes.Platelets,a vital element of the circulatory system,are characterized by their abundance and multifaceted functions.Moreover,several studies have documented platelet infiltration within the kidneys during A KI,revealing elevated expression levels of platelet activation markers such as P-selectin,RANTES,and integrin α Ⅱ bβ3.This suggests that platelet activation occurs in A KI and may influence the progression of the disease.Furthermore,preliminary findings from both clinical and animal model studies indicate that antiplatelet therapy could re-duce tissue damage and protect renal function in AKI resulting from various etiologies.This review aims to elucidate the role of platelets in the pathophysiology of AKI by synthesizing current researches,while also investigating the potential of antiplatelet therapy as a novel approach for the management of AKI,thereby offering new diagnostic and therapeutic strategies.

A 2-month-old female infant developed fever for 2 days and diarrhea for 1 day. Laboratory tests showed that white blood cell count was 18.8×10 9/L, neutrophil count was 8.3×10 9/L, C-reactive protein was 88.8 mg/L, procalcitonin was 35.9 μg/L, alanine aminotransferase (ALT) was 150 U/L, and aspartate aminotransferase (AST) was 121 U/L. Infectious fever and diarrhea were diagnosed. After 3 days of treatment with ceftriaxone, the diarrhea was improved, but there was still fever. Ceftriaxone was replaced by meropenem (20 mg/kg by intravenous infusion, once per 8 hours). Three days later, the infant′s ALT, AST and white blood cell count returned to normal, but she still experienced recurrent fever (up to 39.0 ℃) and mental fatigue, which was considered to be intracranial infection. The dose of meropenem was doubled (40 mg/kg by intravenous infusion, once per 8 hours), and 3 days later, the infant′s body temperature was normal, but mild yellowish skin occurred, with ALT 1 442 U/L, AST 2 868 U/L, direct bilirubin 20.0 μmol/L, and total bile acid (TBA) 90 μmol/L. Acute liver injury caused by meropenem was considered, the drug was replaced by ceftazidime, and liver-protective treatments such as glutathione and ademetionine were given. After 9 days, the infant′s ALT was 140 U/L, AST was 116 U/L, TBA was 46.3 μmol/L, and yellowish skin disappeared. Two weeks later, her liver function indexes basically returned to normal.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To construct a debriefing and reflection training program for nursing undergraduate interns, and to provide a basis for implementing such a program and improve the practical clinical skills of the interns.Methods:Based on competency theory, the draft of the debriefing and reflection training program for undergraduate nursing interns was constructed through literature review and expert conference discussion. Delphi expert consultation was conducted from August to October 2024, and the final version of the program was established based on the experts' opinions. The weight of each indicator was determined using the analytic hierarchy process. Excel 2019 was used for data entry, and SPSS 19.0 was used for data analysis.Results:Two rounds of expert consultation were conducted, with a questionnaire recovery rate of 100.00% for both. The experts consulted in the second round had an authority coefficient of 0.861, a coefficient of variation for each index of 0.048 to 0.237, and a Kendall's concordance coefficient of 0.137 ( P<0.05). The final program included 5 primary indicators, 16 secondary indicators, and 73 tertiary indicators. Conclusions:The debriefing and reflection training program for undergraduate nursing interns proposed in this study has high scientifical validity and reliability. It can provide a reference for debriefing and reflection training of nursing undergraduate interns in China, thereby cultivating qualified clinical nursing talents.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

Purpose To explore the value of 5.0T MRI arterial spin labeling and morphological indexes for staging chronic kidney disease(CKD).Materials and Methods Ninety-five patients with CKD in Chongqing University Three Gorges Hospital from January to August 2024 were collected prospectively,all of whom underwent 5.0T MRI routine and arterial spin labeling examination with calculation of renal blood flow(RBF)and morphological evaluation.According to the estimated glomerular filtration rate(eGFR),the patients were categorized into early CKD group[eGFR 60-89 ml/(min?1.73 m2)]and intermediate-late CKD group[eGFR<59 ml/(min?1.73 m2)]and were further divided into stage 1-5.The differences in RBF between early and intermediate-late CKD patients were compared,and the differences in morphological indexes among different stages of CKD were also analyzed.Binary Logistic regression analysis was used to screen for independent influences on early or intermediate-late CKD staging.Receiver operating characteristic curve was used to evaluate the diagnostic efficacy of RBF values and morphological indexes for early CKD.RBF in CKD stages 1-5 were compared,with Bonferroni pairwise comparisons.The correlation between RBF values and both clinical and morphological indexes were also assessed.Results Whether in CKD stage 2 or 5,morphological factors affecting CKD staging were renal parenchymal signal,renal corticomedullary demarcation,renal volume and renal envelope(χ2=53.715,73.368,36.488,56.688,35.630,39.499,28.520,32.632,all P<0.001).In CKD stage 2,the independent influences screened by multivariate binary Logistic regression analysis were renal parenchymal signal(P<0.001)and renal corticomedullary demarcation(P=0.021).Both renal RBF values in early CKD were significantly higher than that in intermediate-late CKD(Z=-5.975,-5.885,both P<0.001).The areas under the curve for diagnosing early CKD using mean RBF of both kidneys,morphological indexes,and the combination of mean RBF with renal morphological indexes were 0.854,0.932 and 0.951,respectively.RBF values for both kidneys showed statistically significant differences among the five CKD stages(left:H=48.738;right:H=48.102,both P<0.001)and between non-adjacent stages(all P<0.05).Both kidneys RBF values showed a positive correlation with renal parenchymal signal and renal corticomedullary demarcation(left:r=0.600,0.503;right:r=0.550,0.504,both P<0.001).Conclusion The integration of arterial spin labeling and morphological assessment on 5.0T MRI enables a noninvasive and precise functional and morphological evaluation of early renal damage in CKD patients,providing a foundation for subsequent clinical CKD staging.

In 2022， Hainan provincial government launched the project for the prevention and control of viral hepatitis with the goals of a hepatitis B screening rate of 90%， a diagnostic rate of 90%， and a treatment rate of 80% among people aged 18 years and above by the year 2025， and the main intervention measures include population-based prevention， case screening， antiviral therapy， and health management. As of December 31， 2024， a total of 6.875 million individuals in the general population had been screened for hepatitis B， with a screening rate of 95.6%. A total of 184 710 individuals with positive HBsAg were identified， among whom 156 772 were diagnosed through serological reexamination， resulting in a diagnostic rate of 84.9%. A total of 50 742 patients with chronic hepatitis B were identified， among whom 42 921 had hepatitis B-specific health records established for health management， with a file establishment rate of 84.6%. A total of 31 553 individuals received antiviral therapy， with a treatment rate of 62.2%. A total of 2.503 million individuals at a high risk of hepatitis C were screened， among whom 4 870 tested positive for HCV antibody and 3 858 underwent HCV RNA testing， resulting in a diagnostic rate of 79.2%， and 1 824 individuals with positive HCV RNA were identified， among whom 1 194 received antiviral therapy， with a treatment rate of 65.5%. In addition， 159 301 individuals with negative HBsAg and anti-HBs and an age of 20 — 40 years were inoculated with hepatitis B vaccine free of charge. Through the implementation of the project for the prevention and control of viral hepatitis， a large number of hepatitis patients have been identified， treated， and managed in the province within a short period of time， which significantly accelerates the efforts to eliminate the crisis of viral hepatitis.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.