Budd-Chiari syndrome （BCS） is a clinical syndrome of portal vein and/or inferior vena cava （IVC） hypertension caused by obstruction of the hepatic veins and/or the IVC proximal to its opening. Previous studies have shown that there are significant differences in the etiology， clinical classification， and therapeutic strategy of BCS across different regions. In Western countries， BCS is often secondary to thrombotic disorders， especially myeloproliferative neoplasms， with hepatic vein obstruction as the main lesion； the treatment of BCS mainly follows a stepwise strategy of anticoagulation， recanalization， shunting， and liver transplantation， with relatively early timing for transjugular intrahepatic portosystemic shunt. In contrast， BCS in China mainly involves membranous obstruction of the retrohepatic IVC and mixed-type obstruction， and percutaneous transluminal angioplasty is the core treatment method for BCS. These differences may be associated with various factors such as genetic background， environmental exposure， and healthcare practice patterns， with a significant impact on clinical decision-making and prognostic assessment. This article systematically summarizes the geographic heterogeneity of BCS through a literature review， so as to provide a cross-regional diagnostic and therapeutic reference for clinicians， as well as clues and directions for international collaborative research on the regional differences of BCS in the future.

Hemoglobin (Hb) concentration is a key clinical biomarker for diagnosing and managing anemia, ischemic stroke, perioperative blood loss, and chronic diseases such as renal failure. Traditional venous blood sampling remains the gold standard due to its high accuracy, but its invasive nature limits frequent testing, real time monitoring, and large scale screening. This has driven growing interest in non-invasive Hb detection technologies over the past decade. Among these, optical methods are the most promising because of their safety, potential for continuous monitoring, and compatibility with portable or wearable devices. This paper systematically reviews major advances in optical non invasive Hb detection from the last ten years. We focus on near-infrared spectroscopy branches—photoplethysmography (PPG) and dynamic spectrum (DS)—and also cover color analysis/RGB imaging, Raman spectroscopy, and photoacoustic spectroscopy. For each technology, we explain its detection principles, analyze advantages and limitations, and summarize optimization strategies reported in recent literature. PPG, based on pulsatile blood volume changes, underpins many commercial continuous monitors. However, its accuracy is constrained by motion artifacts, individual physiological variations (e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.

Objective To construct and evaluate a prognostic model for clear cell renal cell carcinoma(ccRCC)based on preoperative lipid ratios, cM0(i+)staging, and other clinical characteristics, so as to provide a precise tool for clinical prognosis assessment. Methods A retrospective analysis was conducted on the clinical data of 215 ccRCC patients treated in our hospital during May 2014 and May 2023. Lipid ratios were calculated using preoperative lipid data, and patients were divided into cM0(i+)stage or cM0 stage according to postoperative circulating tumor cells(CTCs)test results. The optimal lipid ratio and cutoff value were selected using receiver operating characteristic(ROC)curves and the X-tile method. Patients were subdivided into three groups based on the level of the low-density lipoprotein cholesterol to non-low-density lipoprotein cholesterol ratio(LNLR)and cM0(i+)staging:Group A [LNLR＞1.68 and diagnosed with cM0(i+)], Group B [LNLR＞1.68 or diagnosed with cM0(i+)], and Group C(LNLR ≤1.68 and diagnosed with cM0). Kaplan-Meier survival analysis was used to plot survival curves for patients in different groups. The log-rank test was employed to compare differences in recurrence-free survival(RFS)among the subgroups. Multivariate Cox regression analysis was conducted to identify the independent risk factors influencing RFS, and a nomogram prediction model was constructed based on these results. The predictive performance of the model was validated using ROC curves, calibration curves, and decision curves. Results ROC curves were plotted for lipid markers, and LNLR was identified as the most predictive for RFS. Its optimal cutoff point was 1. 68. Patients in Group A experienced a significantly shorter postoperative RFS. Multivariate Cox regression analysis identified preoperative LNLR, cM0(i+)staging, pathological grade, and stage as independent risk factors for RFS. A nomogram model was constructed based on these risk factors. The area under the ROC curve(AUC)for 1-, 3-, and 5-year RFS was 0.896(95% CI:0.8121-0.9627), 0.890(95%CI:0.7879-0.9641), and 0.870(95%CI:0.7697-0.9526), indicating good discriminatory ability and predictive performance. Calibration plots demonstrated good agreement between predicted and actual outcomes. Clinical decision curve analysis showed high clinical net benefit. Conclusion Preoperative LNLR level is an independent risk factor for RFS in ccRCC patients. The prognostic prediction model based on LNLR, cM0(i+)staging, patient pathological grade, and staging demonstrates good predictive performance for RFS and holds potential clinical application value.

Objective:To explore the effects of essential tremor(ET)on the mitochondrial morphology of GABAer-gic and glutamatergic neurons in the inferior olive(IO).Methods:The ET mouse model was established via intraper-itoneal injection of harmaline.Twelve 8-week-old male C57BL/6J mice were randomly divided into saline control group and harmaline treatment group(HA).Behavioral tests,including open field test,rotarod test,balance beam test,and tremor scoring,were conducted to assess the behavior of mice.Using genetic engineering technology and the CRISPR/Cas9 system,we designed and generated 6 male GAD2-Mito-GFP mice and 6 male VGLUT2-Mito-GFP mice,all being 8-week-old.The mice of each transgenic line were randomly divided into Control and HA group.Immunofluorescence staining was used to analyze the expression of c-FOS positive cells in the IO of both the Control and HA groups,and to classify different types of neurons.Mitochondrial network analysis(MiNA)was performed to quantitatively analyze the area,mean aspect ratio,branch length,and other of mitochondria in different types of neurons in the IO under ET con-ditions.Results:Compared to the Control group,the HA group exhibited motor abnormalities and significant tremors.Immunofluorescence results showed a significant increase in the number of c-FOS positive cells in the IO,primarily in GABAergic neurons.MiNA results revealed that the mitochondria of GABAergic neurons showed increased area,branch length diameter,demonstrating irregular morphology.Conclusion:ET induces activation of GABAergic neurons in the IO and leads to more prominent mitochondrial morphological changes.This provides a new perspective for further inves-tigation of the pathogenesis of essential tremor and its relationship with mitochondrial.

Objective This study focuses on a tertiary public hospital in Ningxia to explore the practical application of discipline-specific research performance evaluation.To establish a performance evaluation index system tailored to the characteris-tics of tertiary public hospitals in underdeveloped regions and propose strategies for improving research performance evaluation through empirical research,thereby promoting high-quality hospital development.Methods Guided by the performance evalua-tion indicators for tertiary public hospitals and the accreditation standards for tertiary hospitals,and aligned with the hospital's o-verall work plan,a multi-dimensional and multi-level evaluation method was adopted.Following the SMART principles(Specific,Measurable,Achievable,Relevant,Time-bound)and differentiated scoring principles,research performance evaluation indica-tors were summarized,screened,and weighted.An empirical analysis of the research status of 20 disciplines from 2021 to 2024 was conducted to establish and continuously optimize a research performance evaluation index system suited to the hospital's needs.Results A research performance evaluation index system for public hospital disciplines was finalized,comprising 5 first-level indicators,14 second-level indicators,and 40 third-level indicators(22 quantitative and 18 qualitative).This system standardized the management of discipline-specific research and effectively promoted steady growth,structural adjustment,and development in hospital research.Conclusion Constructing a scientific,standardized,and operable research performance eval-uation index system is of significant importance for enhancing the research level of disciplines in public hospitals and strengthening discipline construction.

Excessive fat accumulation,viral infections and sustained inflammatory responses caused by non-alcoholic and alcoholic factors can contribute to liver inflammation,fibrosis and carcinogenesis,promoting the development of chronic liver disease.Gaining an in-depth understanding of the etiologic factors and underlying mechanisms that lead to chronic liver disease can help identify potential therapeutic targets for targeted therapy.Lactate,as an important substance in hepatic metabolism,has been found to be involved in the process of chronic liver disease through various pathways,and this review will provide a useful reference for the prevention and treatment of chronic liver disease.

Objective To analyze the application value of multimodal CT imaging parameters in the differentiation of TOAST classification for cerebral infarction.Methods According to the TOAST classification,the selected 103 patients with cerebral infarction were categorized into large-artery atherosclerosis(LAA)group,cardioembolic(CE)group,small-artery occlusion(SAO)group,other determined etiologies(SOD)group,and undetermined etiologies(SUE)group.All patients underwent non-contrast CT scanning and CT angiography.Cerebral angiography was adopted as the gold standard.Results For the LAA,CE,SAO,SOD,and SUE groups,the diagnostic performance of multimodal CT imaging was as followed:true positive rates were 73.17%,45.45%,75.00%,40.00%,and 72.00%;sensitivities were 90.10%,85.71%,92.30%,85.71%,and 90.00%;specificities were 75.00%,75.00%,66.67%,66.67%,and 80.00%;miss rates were 9.09%,28.57%,7.69%,14.28%,and 10.00%;misdiagnosis rates were 25.00%,25.00%,33.33%,33.33%,and 20.00%;positive predictive rates were 93.75%,83.33%,92.31%,85.71%,and 94.74%;and negative predictive rates were 66.67%,60.00%,66.67%,66.67%,and 66.67%,respectively.Kappa test results showed that the multimodal CT imaging findings were highly consistent with the gold standard(Kappa>0.75,P<0.05).Conclusion Multimodal CT imaging technology can effectively assist in the differentiation of TOAST classification for cerebral infarction,thereby improving the accuracy of clinical diagnosis.

Objective:To evaluate the clinical rehabilitation effect of external counterpulsation(ECP)on patients with coronary heart disease(CHD)by meta-analysis.Methods:We searched the databases of CNKI,WanFang,VIP,CBM,PubMed,Web of Science,Cochrane Library and Embase for randomized controlled trials(RCTs)and prospective cohort studies upon rehabilitative effect of ECP on CHD patients before May 2024.And meta-analysis was conducted to calculate the pooled MD and 95％CI using the random(P＜0.5 or I2≥50％)or fixed effect models(other situations).Results:13 eligible literatures were finally included in the meta-analysis.Compared with participants in control group,those in trial group had significant higher left ventricular ejection fraction(MD=4.15,95％CI 2.55～5.76,P＜0.001),stroke volume(MD=9.11,95％CI 7.59～10.64,P＜0.001),peak oxygen uptake(MD=5.42,95％CI 2.53～8.32,P＜0.001),6-min walking distance(MD=31.14,95％CI 24.89～37.40,P＜0.001),metabolic equiv-alent(MD=0.58,95％CI 0.45～0.71,P＜0.001),exercise duration time(SMD=0.77,95％CI 0.55～0.99,P＜0.001),oxygen pulse(MD=0.88,95％CI 0.68～1.09,P＜0.001),and significant lower left ventricular end-diastolic diameter(MD=-3.19,95％CI-5.20～-2.61,P＜0.001).Conclusion:This study showed that ECP could effectively improve heart function,exercise capacity and tolerance of CHD patients.

Objective:To explore the effects of essential tremor(ET)on the mitochondrial morphology of GABAer-gic and glutamatergic neurons in the inferior olive(IO).Methods:The ET mouse model was established via intraper-itoneal injection of harmaline.Twelve 8-week-old male C57BL/6J mice were randomly divided into saline control group and harmaline treatment group(HA).Behavioral tests,including open field test,rotarod test,balance beam test,and tremor scoring,were conducted to assess the behavior of mice.Using genetic engineering technology and the CRISPR/Cas9 system,we designed and generated 6 male GAD2-Mito-GFP mice and 6 male VGLUT2-Mito-GFP mice,all being 8-week-old.The mice of each transgenic line were randomly divided into Control and HA group.Immunofluorescence staining was used to analyze the expression of c-FOS positive cells in the IO of both the Control and HA groups,and to classify different types of neurons.Mitochondrial network analysis(MiNA)was performed to quantitatively analyze the area,mean aspect ratio,branch length,and other of mitochondria in different types of neurons in the IO under ET con-ditions.Results:Compared to the Control group,the HA group exhibited motor abnormalities and significant tremors.Immunofluorescence results showed a significant increase in the number of c-FOS positive cells in the IO,primarily in GABAergic neurons.MiNA results revealed that the mitochondria of GABAergic neurons showed increased area,branch length diameter,demonstrating irregular morphology.Conclusion:ET induces activation of GABAergic neurons in the IO and leads to more prominent mitochondrial morphological changes.This provides a new perspective for further inves-tigation of the pathogenesis of essential tremor and its relationship with mitochondrial.

Intraoperative neural monitoring (IONM) combines electrophysiology with anatomy to monitor nerve function during thyroid surgery,and has become an important auxiliary technology for neuroprotection. After more than ten years of development,the technology has been widely applied and popularized in China,promoting the development of a number of new technologies in the industry. Combined with the questionnaire survey data of the Chinese Neural Monitoring Study Group,this paper aims to summarize the clinical effect of IONM technology, the application status and existing problems at home and abroad, and propose the possible future development direction.