Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Objective To elucidate the impact of chronic kidney disease(CKD)on the clinical outcomes of patients with left main coronary artery disease(LMCAD)undergoing intravascular ultrasound(IVUS)-guided percutaneous coronary intervention(PCI).Methods This retrospective study enrolled consecutive patients with LMCAD who underwent IVUS-guided PCI at Wuhan Asia Heart Hospital between January 2017 and December 2020.Patients were stratified into CKD and non-CKD groups according to the presence of CKD.Clinical data were systematically retrieved from the electronic health record system.Demographic,clinical,and angiographic characteristics were compared between groups.The primary endpoint was major adverse cardiovascular events(MACE),defined as a composite of all-cause mortality,myocardial infarction,and ischemic stroke.Results A total of 325 LMCAD patients[mean age(62.56±9.86)years;73.54％male]were included,with 31 patients(9.54％)in the CKD group.During a median follow-up of 5 years,CKD patients exhibited significantly older age[(70.13±9.77)years vs.(61.77±9.54)years,P＜0.001],higher prevalence of three-vessel disease(64.52％vs.38.10％;P=0.040)and left main bifurcation lesion(45.16％vs.37.76％,P=0.011),greater IVUS-detected calcification burden(P=0.029),and higher median SYNTAXⅡ scores[(34.10(30.30,39.25)vs.26.75(22.42,31.58),P＜0.001)].The cumulative incidence of MACE was significantly higher in the CKD group compared to the non-CKD group(32.26％vs.9.18％,P＜0.001).Univariate Cox regression analysis and Kaplan-Meier survival curves confirmed a 5.877-fold increased risk of MACE in CKD patients(95％CI 2.765-12.494).After adjusting for age and cardiac function,CKD remained an independent predictor of MACE(HR 3.611,95％CI 1.634-7.978).Conclusions LMCAD patients with concomitant CKD present with advanced age,impaired cardiac function,more extensive coronary disease,and severe calcification.The presence of CKD is associated with a significantly worse long-term prognosis.

Pancreatic cancer is highly aggressive and often diagnosed at an advanced stage,leaving most patients ineligible for radical resection.This study retrospectively analyzed four patients with locally advanced or advanced pancreatic cancer to evaluate the clinical efficacy and safety of high-intensity focused ultrasound(HIFU)ablation combined with chemotherapy as a neoadjuvant and conversion therapy.All cases were reviewed and individualized treatment plans were formulated through a multidisciplinary team evaluation.All patients received HIFU plus gemcitabine and nab-paclitaxel chemotherapy,with assessments of tumor volume,vascular involvement,surgical conversion,symptom relief,and adverse events.Three patients achieved marked tumor shrinkage and reduction of vascular invasion,enabling successful R0 resection without recurrence during follow-up.The remaining patient achieved disease stability,significant pain relief,and maintained good quality of life under repeated HIFU therapy.All treatments were well tolerated,and no severe adverse reactions occurred.The combination of HIFU and chemotherapy demonstrated synergistic local and systemic effects,effectively achieving tumor downstaging,improving resectability,and alleviating symptoms.As a safe,noninvasive,and repeatable therapeutic approach,this strategy offers a promising option for patients with advanced pancreatic cancer.Further large-scale prospective studies are warranted to validate its long-term efficacy and elucidate underlying mechanisms.

Aim To investigate the effect of Huangqi injection(HI)and Huangqi oral solution(HO)on cisplatin-induced nephrotoxicity(CIN)based on un-targeted metabolomics technology and the underlying mechanisms.Methods Sprague Dawley(SD)rats were randomly divided into the blank group,cisplatin(CDDP)model group,HI treatment group,and HO treatment group,then the CIN model was built with low dose multiple intraperitoneal injections of CDDP.Pre-liminary evaluation of the renal protective efficacy of HI and HO was performed by measuring serum creatinine(Scr),blood urea nitrogen(BUN),and organ indi-ces.Further screening and identification of potential biomarkers(PBs)related to CIN and HI/HO pharma-cological effects were attained through metabolomics studies of renal tissues,and pathway enrichment analy-sis was conducted.Results HI and HO significantly restored the abnormal increase in renal function indica-tors and abnormal decrease in organ indices caused by CDDP,as well as significantly improved the abnormal renal metabolic profile induced by CDDP,indicating that both HI and HO had good alleviating effects on CIN.HI significantly reversed 47 out of 54 CIN related PBs,mainly involving metabolic pathways such as glycerophospholipid metabolism,tryptophan metabo-lism,pantothenate and CoA biosynthesis;HO signifi-cantly reversed 18 out of 54 CIN related PBs,mainly involving metabolic pathways such as taurine and hypo-taurine metabolism,ascorbate and aldarate metabo-lism,pentose and glucuronate interconversions.Con-clusions Both HI and HO have significant alleviating effects on CIN.In the short term,HI salleviating effect is superior to that of HO.Overall,the mechanisms by which both alleviate CIN are mainly related to regula-ting lipid metabolism,amino acid metabolism.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To evaluate the levels and source of cadmium exposure by dietary pathway among middle-aged and elderly people ≥40 in cadmium-contaminated areas of China.Methods:A total of 7 193 people aged 40-89 years from four typical cadmium-contaminated areas in China were selected as the study subjects. Food Frequency Questionnaire (FFQ), Total Diet Study (TDS) and a 3-day-24-hour dietary recall survey were conducted. Dietary cadmium intake and food sources through dietary pathways were assessed based on cadmium content in foods, consumption amounts and intake frequencies.Results:The mean age of the participants was 63.39±12.21 years, with 50.05% being males. The average monthly dietary cadmium intake was 7.39 μg/(kg·BW). Staple foods and vegetables were the primary sources of dietary cadmium intake, accounting for 57.51% and 32.48%, respectively. The monthly dietary cadmium intake in all surveyed regions did not exceed the Provisional Tolerable Monthly Intake (PTMI) recommended by the Joint FAO/WHO Expert Committee on Food Additives (JECFA).Conclusion:The monthly dietary cadmium intake among middle-aged and elderly people in cadmium-contaminated areas of China is relatively low, with the risk remaining at an acceptable level. Staple foods and vegetables are the most significant contributors to dietary cadmium intake.

Respiratory syncytial virus (RSV) is the most common respiratory pathogen in infants and young children, which can lead to severe pneumonia and even death. Early diagnosis and intervention are crucial for reducing complications and sequelae and improving prognosis. This study presents the complete diagonsis and treatment process of a typical severe RSV pneumonia patient. For high-risk children, the condition can progress rapidly after RSV infection, and may present with respiratory failure and multiple extrapulmonary complications, such as heart failure, liver and kidney function impairment, coagulation dysfunction. After active symptomatic and supportive treatment, the prognosis is generally good. RSV infection will not lead to long-lasting immunity, but as the child grows older and their immune function gradually improves, the condition of a secondary infection is generally relatively mild. Currently, there are no specific antiviral drugs or safe and effective vaccines for RSV. Long-acting monoclonal antibodies are one of the effective means to prevent RSV infection in infants and young children and have been approved for use in China.

The application of artificial intelligence(AI)technology in healthcare-associated infection prevention and control deepens continuously.It demonstrates a potential for achieving precise prevention and control of infec-tion through data integration,model construction,and dynamic analysis,and provides scientific support for optimi-zation of decision-making in relevant departments.However,the application of related technologies still faces multi-ple challenges,such as data quality,system compatibility,and adaptation to actual scenarios,which limits its com-prehensive promotion in clinical settings.Based on this,this study systematically summarizes the research progress of AI application in infection prediction,diagnosis support,behavior optimization,and resource management in re-cent years,deeply analyzes its key technical advantages and limitations,and proposes improvement strategies for existing problems and future development directions,with a view to providing theoretical support and practical refe-rences for the intelligent transformation of infection prevention and control in hospitals in China.

Objective To investigate the application of targeted next-generation sequencing test(tNGS)in detecting patho-gens and drug resistance genes in the diagnosis and treatment of Mycoplasma pneumoniae pneumonia(MPP)in chil-dren.Methods The clinical data of children diagnosed with MPP and hospitalized in Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology from July 2022 to December 2023 were analyzed.The differences of MP se-quence detected by tNGS in children of different gender,age,course,and clinical features were compared.The performance of tNGS in detecting macrolides resistance genes was assessed.The optimal prediction cut-off value of MP resistance gene was ex-plored by ROC.Results A total of 497 cases were included,including 257(51.7％)male and 240(48.3％)female.The age dis-tribution was from 3 months to 13 years old[(6.08±2.68)years old in average],and the average durations of fever and cough were(6.04±3.42)and(7.46±5.54)days,respectively.MP was detected in all patients by tNGS method.There was no signifi-cant difference in different gender or age groups.The MP sequence count in patients with positive nucleic acid was significantly higher than that in patients with negative nucleic acid.The MP sequence count in lower respiratory specimens was significantly higher than that in upper respiratory specimens.MP sequence count in severe cases was significantly higher than that in non-se-vere cases,but there was no significant difference between patients with or without pulmonary complications and refractory or non-refractory cases.The overall diagnostic sensitivity of tNGS for detecting MP drug-resistant genes was 92.8％,specificity was 27.8％,PPV was 48.3％,NPV was 84.2％,and the mutation site was 23S rRNA:A2063G.The ratio of MP pathogenic se-quence to drug-resistant gene sequence was 6.83,which was the best cut-off value for predicting drug resistance.The negative predictive value was higher when the MP pathogenic sequence ratio was greater than 6.83.Conclusion tNGS has the value in early diagnosis of MPP.The MP sequence counts may have a guiding value in predicting disease severity.The negative predictive value is higher in drug-resistant gene detection.

Objectives:The aim of this study was to investigate the value of assessing Selvester QRS score in evaluating myocardial fibrosis in hypertrophic cardiomyopathy(HCM)patients.Methods:A total of consecutive 149 patients with HCM,who were admitted in Fuwai Hospital from October 2008 to September 2013,were enrolled in this study.Qualitative and quantitative analyses of myocardial fibrosis were conducted based on late gadolinium enhancement(LGE)derived from enhanced cardiac magnetic resonance imaging(CMR).According to the qualitative analysis of myocardial fibrosis by CMR-LGE,the patients were divided into the LGE-negative group(n=46)and the LGE-positive group(n=103).Standard 12-lead electrocardiogram examination was performed and the Selvester QRS score was calculated.Multivariate binary Logistic regression analysis was used to analyze the predictive factors of positive LGE,and the correlation analysis between the Selvester QRS score and the LGE score was also performed.Results:Compared with the LGE-negative group,the proportion of patients with a family history of HCM(12.8%vs.28.2%),the proportion of patients with a positive Selvester QRS score(65.2%vs.83.5%)and the Selvester QRS score([1.65±1.81]points vs.[5.71±3.80]points)were higher,the maximum thickness of the left ventricular wall([20.5±3.2]mm vs.[24.5±5.0]mm)and the percentage of left ventricular myocardial scar area([5.0±5.5]%vs.[17.1±11.4]%)were larger in the LGE-positive group(all P<0.05).Multivariate binary logistic regression analysis showed that the Selvester QRS score(OR=1.429,95%CI:1.128-1.802,P=0.003)and the maximum left ventricular wall thickness(OR=1.257,95%CI:1.029-1.537,P=0.025)were independent predictors of positive LGE.Pearson correlation analysis showed that in all HCM patients,the Selvester QRS score was positively correlated with the LGE score(r=0.682,P<0.001),and the percentage of left ventricular myocardial scar area was positively correlated with the percentage of enhanced area to the total mass of left ventricular myocardium(LGE%)(r=0.682,P<0.001);In the LGE positive group,the Selvester QRS score was positively correlated with the LGE score(r=0.569,P<0.001).Receiver operating characteristic(ROC)curve analysis showed that the optimal cut-off values of Selvester QRS score and maximum left ventricular wall thickness for predicting positive LGE were≥3.5 points and≥21 mm,respectively.Conclusions:In HCM patients,the Selvester QRS score is significantly associated with myocardial fibrosis,and the total score≥3.5 serves as a good predictive cutoffvalue for identifying the presence of LGE.