ObjectiveTo investigate the effects of modified Xiaoyaosan （JJXYS） on behavioral abnormalities and hippocampal mitochondrial quality control （MQC） in the rat model of post-myocardial infarction depression （PMD） and preliminarily explore its potential mechanism. MethodsA rat model of PMD was established by left anterior descending coronary artery ligation combined with chronic unpredictable mild stress （CUMS）. Rats were randomized into a control group， a model group， a fluoxetine （FLX， 10 mg·kg^-1） group， and low-， medium-， and high-dose JJXYS （JJXYS-L/M/H， 1.12， 2.24， 4.48 g·kg^-1， respectively） groups. Depressive-like behaviors were evaluated by body weight monitoring， sucrose preference test， open field test， and forced swimming test. Hematoxylin-eosin staining and Nissl staining were used to observe hippocampal histomorphology and neuronal changes. Enzyme-linked immunosorbent assay was conducted to determine the serum levels of 5-hydroxytryptamine （5-HT）， dopamine （DA）， interleukin-1 beta （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α）. The mRNA levels of MQC-related genes including peroxisome proliferator-activated receptor-gamma coactivator-1 alpha （PGC-1α）， nuclear respiratory factor 1 （Nrf1）， and transcription factor A， mitochondrial （TFAM） in the hippocampal tissue were measured by real-time PCR. The expression of proteins related to the dynamin-related protein 1 （Drp1）/PTEN-induced putative kinase 1 （PINK1）/Parkin signaling pathway was determined by Western blot. ResultsCompared with the control group， the model group showed restricted body weight gain， aggravated depressive-like behaviors， declined serum 5-HT and DA levels， evident hippocampal neuronal damage and reduced Nissl bodies， as well as downregulated expression of MQC-related genes and proteins （P<0.05）. Compared with the model group， both FLX and JJXYS alleviated the above changes to varying degrees. Moreover， the JJXYS-M and JJXYS-H groups showed more pronounced effects， improving behavioral performance， restoring 5-HT and DA levels， alleviating hippocampal pathological injury， and upregulating the expression of PGC-1α/Nrf1/TFAM mRNA and Drp1/PINK1/Parkin signaling pathway-related proteins （P<0.05）. ConclusionJJXYS can significantly alleviate depressive-like behaviors and neurotransmitter imbalance in the rat model of PMD by regulating hippocampal MQC and upregulating the Drp1/PINK1/Parkin-related pathway. This study provides experimental evidence for the intervention of PMD with JJXYS.

Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: To construct and validate a prognostic prediction model for children with sepsis using the Phoenix sepsis score (PSS). METHODS: A retrospective case series study was conducted to collect clinical data of children with sepsis admitted to the pediatric intensive care unit (PICU) of the Affiliated Hospital of Guizhou Medical University from January 2022 to April 2024. The data included general information, the worst values of laboratory indicators within the first 24 hours of PICU admission, PSS score, pediatric critical illness score (PCIS), and the survival status of the children within 30 days of admission. The statistically significant indicators in univariate Logistic regression analysis were included in multivariate Logistic regression analysis to screen the risk factors affecting the prognosis of children with sepsis and construct a nomogram model. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive performance of the model. The Bootstrap method was used to perform 1 000 repeated sampling internal verification and draw the calibration curve of the model. RESULTS: A total of 199 children with sepsis were included, of which 32 died and 167 survived 30 days after admission. In the univariate Logistic regression analysis, shock, white blood cell count (WBC), international normalized ratio (INR), lactic acid (Lac), PSS score, and PCIS score were identified as statistically significant predictors. These variables were then included in the multivariate Logistic regression analysis, which demonstrated that shock [odds ratio (OR) = 4.258, 95% confidence interval (95%CI) was 1.049-17.288], WBC (OR = 1.124, 95%CI was 1.052-1.210), and PSS score (OR = 1.977, 95%CI was 1.298-3.012) were independent risk factors for mortality in pediatric patients with sepsis (all P < 0.05). A nomogram model was constructed based on these three risk factors, with the model equation as follows: -4.809+1.449×shock+0.682×PSS score+0.117×WBC. The calibration curve results showed that the model's predictions were highly consistent with the actual observations. The ROC curve showed that when the Youden index of the prediction model was 0.792, the sensitivity and specificity were 90.6% and 88.6%, respectively, and the area under the curve (AUC) was 0.957 (95%CI was 0.930-0.984), which was higher than the AUC of shock, WBC, and PSS score alone (0.808, 0.667, 0.908, respectively). CONCLUSIONS Shock, WBC, and PSS score have demonstrated certain predictive value for mortality in children with sepsis. The nomogram model based on the above indicators has important clinical significance for evaluating the prognosis and guiding treatment of children with sepsis.
Humans ; Sepsis/diagnosis* ; Prognosis ; Retrospective Studies ; Logistic Models ; Intensive Care Units, Pediatric ; Nomograms ; Child ; ROC Curve ; Risk Factors ; Male ; Female ; Child, Preschool ; Infant

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

Post-stroke affective disorders (PSTD) are common complications, which significantly affect neurological function recovery and quality of life in stroke patients. Common PSTD includes post-stroke depression, post-stroke anxiety or post-stroke depression-anxiety co-morbidity, post-stroke apathy, post-stroke mania, and post-stroke anger proneness, with post-stroke depression being the most commonly concerned. PSTD is not easily recognized and intervened clinically due to its hidden nature. At present, clinical identification mainly relies on clinical assessment and psychological scale tests; PTSD intervention mainly includes drug treatment, psychological treatment and physical treatment. This review summarizes the recent advances in these 5 major PSTD subtypes, encompassing their pathophysiological mechanisms, clinical identification criteria, diagnostic approaches, and evidence-based intervention strategies, aiming to provide practical references for optimizing clinical management of PSTD.

Objective:To explore the clinical features of Brucellar myelitis and diagnosis and treatment of secondary neuromyelitis optica spectrum disorder (NMOSD), and enhance the awareness of clinicians about this disease.Methods:A retrospective study was performed; 13 patients with Brucellar myelitis admitted to Department of Neurology, Inner Mongolia Autonomous Region People's Hospital from January 2020 to December 2024 were chosen. Clinical data were collected, and MRI images and serological changes during the infection period were observed. Serum and cerebrospinal fluid demyelinating antibody markers and cerebrospinal fluid oligoclonal bands (OCBs) in the suspected secondary inflammatory demyelinating diseases of the central nervous system patients were detected. All patients received standard antibiotic treatment and/or individualized immunotherapy depending on disease severity. The patients were followed up for 24 (12, 42) months. At the last follow-up, the neurological outcomes were evaluated using modified Rankin scale (mRS, scores of 0-2: good prognosis; scores of 3-6: poor prognosis).Results:(1) Among the 13 patients, 12 had motor disorder, 9 had bladder/bowel dysfunction, 7 had sensory abnormality, and 4 had other symptoms such as dizziness, behavioral changes, or unsteady gait. (2) MRI results showed that 8 patients had spinal cord abnormalities, including 2 with long-segment intramedullary high signal at T2-weighted image and 6 with short-segment local intramedullary high signal at T2-weighted image. Enhanced MRI was performed in 11 patients, with 2 showing lesion enhancement, 3 showing meningeal enhancement, and 6 showing no enhancement. (3) Four patients had elevated cerebrospinal fluid pressure (>180 mmH 2O); 9 patients had elevated cerebrospinal fluid protein level (>0.45 g/L). Brucella-specific DNA was detected in the cerebrospinal fluid of 6 patients. One patient was positive for OCB type II. One patient was positive for aquaporin 4 antibody (AQP4-IgG) in both serum and cerebrospinal fluid, and one patient was double positive for myelin oligodendrocyte glycoprotein antibody (MOG-IgG) and AQP4-IgG in serum. (4) All 13 patients received standard antibiotic treatment; 12 patients received immunotherapy. (5) Among the 4 patients with poor prognosis, 3 died and the remaining 9 had a good prognosis. The mRS score decreasing from 4 (3, 4) at admission to 2 (2, 3) at the last follow-up, showing an overall improvement in neurological function. (6) Among the 13 patients, 2 were diagnosed as having Brucellar myelitis secondary NMOSD. On the basis of antibiotic treatment, one AQP4-IgG positive patient was treated with high-dose glucocorticoids only and later died; one MOG-IgG and AQP4-IgG double positive patient was treated with intravenous immunoglobulin combined with high-dose glucocorticoids and sequential rituximab, with mRS score decreasing from 5 at admission to 2 at the last follow-up and good neurological function recovery. Conclusions:The clinical manifestations of Brucellar myelitis are diverse and overlap with the clinical features of NMOSD. For patients with suspected Brucellar myelitis secondary NMOSD, combination of immunosuppressant (such as rituximab) with antibiotics may be an effective individualized treatment.

Clinical pharmacist training is an important way to strengthen the clinical pharmacist team's construction and improve their pharmaceutical service capabilities and levels.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-1:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Training was based on the relevant requirements of the current clinical pharmacist training system of the Chinese Hospital Association,and formulated by sor-ting out relevant materials,such as standards,policies and regulations,technical specifications,literature,the current situation of clinical pharmacist training in China,and expert opinions.A total of 15 key elements of clinical pharmacist training were selected and divided into three aspects(base management,training process and assessment,and the quality management,evaluation and improvement).This article mainly introduced the construction method and content of the clinical pharmacist training standard,to deepen the understanding of the standard for relevant units and to promote the implementation of the standard.

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.

Lipoatrophic diabetes(LD) is a rare and distinct form of diabetes characterized by notable clinical heterogeneity. It is often considered one of the manifestations of lipodystrophy syndrome(LDS). In clinical practice, LD is frequently misdiagnosed as type 2 diabetes; however, its management protocols and prognostic outcomes differ significantly from those of other diabetes subtypes. Therefore, timely and accurate diagnosis is of great clinical importance. This paper presents two detailed case reports of female patients with LD. Through an in-depth analysis of their clinical features, it also provides an comprehensive review of the key clinical manifestations of LDS, potential pathogenic mechanisms, and current approaches to genetic diagnosis. The aim is to enhance clinicans′ awareness of LDS and improve corresponding diagnostic and therapeutic strategies.