Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

Objective To summarize the clinical efficacy of modified Morrow surgery in the treatment of hypertrophic obstructive cardiomyopathy. Methods A retrospective analysis was conducted on the clinical data of patients with hypertrophic obstructive cardiomyopathy treated with modified Morrow surgery at Zhongshan Hospital Affiliated to Fudan University from 2020 to 2023. Results A total of 318 patients were enrolled, including 156 males and 162 females, with an average age of (55.6±13.1) years. Preoperative echocardiography showed a mean interventricular septal thickness of (18.1±3.8) mm, peak left ventricular outflow tract pressure difference of (86.4±24.9) mm Hg. The surgery time was (162.3±51.0) min, extracorporeal circulation time was (80.9±31.0) min, and aortic occlusion time was (44.8±20.8) min. After the surgery, transesophageal echocardiography showed that the interventricular septal thickness was (11.0±1.8) mm and left ventricular outflow tract peak pressure difference was (9.4±5.1) mm Hg. The incidence rate of postoperative complete left bundle branch block was 45.3%, Ⅲ° atrioventricular block was 3.8%, and postoperative newly developed atrial fibrillation was 3.1%. The postoperative hospital stay was (6.6±4.9) days, and one perioperative death occurred, with a mortality rate of 0.3%. The follow-up time was (10.3±9.4) months, during which the transthoracic echocardiography revealed a ventricular septal thickness of (12.9±2.9) mm and a peak left ventricular outflow tract pressure difference of (13.9±10.0) mm Hg. Conclusion The modified Morrow procedure for the treatment of hypertrophic obstructive cardiomyopathy is safe and effective, with good results in the short and medium term.

ObjectiveTo investigate the therapeutic effect of Astragali Radix-mediated changes in gut microbiota on treating type 2 diabetes （T2DM）. MethodsA 12-week randomized， placebo-controlled clinical trial enrolled eighty patients with newly diagnosed type 2 diabetes and poor glycemic control in the Qi deficiency type. All patients received insulin therapy. The observation group （40 cases） was administered with Astragali Radix Granules， while the control group （40 cases） received a placebo. Both treamtents were taken orally twice daily. Changes in gut microbiota were assessed by 16s rDNA sequencing. Serum glucagon-like peptide-1 （GLP-1） levels were measured using enzyme-linked immunosorbent assay （ELISA）. Glucose metabolism indicators including fasting blood glucose （FPG）， 2-hour postprandial blood glucose （2 h PG），glycated albumin（GA）， and glycated hemoglobin （HbA1c） were evaluated. Pancreatic function was evaluated using fasting C-peptide （FCP）， 2-hour postprandial C-peptide （2 h CP）， and C-peptide area under the curve （AUC_cp）. Traditional Chinese medicine （TCM） syndrome scores， clinical efficacy， and safety indicators were also observed. ResultsIn terms of glucose metabolism indicators， compared with the baseline， both groups exhibited significantly lower FPG， 2 h PG， GA and HbA1C （P<0.01），while FCP， 2 h CP and AUC_cp were significantly higher （P<0.01）. Compared with the control group after the treatment， the observation group showed significantly lower FPG， 2 h PG， GA and HbA1C（P<0.05， P<0.01），and significantly higher FCP， 2 h CP and AUC_cp （P<0.05， P<0.01）， indicating that Astragali Radix can improve glucose metabolism. In terms of the diversity of gut microbiota， no significant differences were detected in the Chao1， Shannon and Simpson indexes of the two groups compared with their respective baselines. However， compared with the post-treatment control group， the observation group demonstrated significant increases in the Chao1， Shannon and Simpson indexes （P<0.05， P<0.01）. The β-diversity analysis showed significant separation in gut microbiota composition before and after treatment in both groups， indicating that Astragali Radix can significantly alter the structure and improve the diversity of gut microbiota. At the phylum level， compared with the baseline， both groups showed a significant increase in the relative abundance of Bacteroidota（P<0.01）. The relative abundance of the potentially harmful phylum Proteobacteria was significantly lower in the observation Group after treatment （P<0.01）. Compared with the post-treatment control group， the observation group had a significantly higher relative abundance of Bacteroidota（P<0.01）. No significant difference was found in Firmicutes/Bacteroidota （F/B） ratio between the two groups after treatment， and other phyla showed no significant differences. At the genus level， compared with the baseline， the observation group exhibited a significant increase in Bacteroides （P<0.01） and a significant decrease in Escherichia-Shigella （P<0.01）， whereas no significant difference was seen in the control group . Compared with the control group after treatment， the observation group after treatment had a significantly higher relative abundance of Bacteroides （P<0.01）. No significant differences were seen in other genera. Linear discriminant analysis （LDA） identified potential characteristics taxa： in the observation group， Bacteroidota at the phylum level and Bacteroides and Dubosiella at the genus level， in the control group， Proteobacteria at the phylum level as well as Barnesiella and Staphylococcus at the genus level. Correlation analysis based on a heatmap revealed that GLP-1 levels were positively correlated with Firmicutes， F/B ratio and Fusobacterium， and negatively correlated with Bacteroidota， Proteobacteria， Bacteroides and Escherichia-Shigella. In terms of clinical efficacy， compared with the control group， the total effective rate of the observation group was significantly higher （P<0.05）. Compared with the baseline， the scores for shortness of breath， fatigue， weakness， spontaneous sweating and reluctance to speak significantly decreased in both groups （P<0.01）. Compared with the control group after treatment， the score for weakness was significantly lower in the observation group （P<0.01），indicating that Astragali Radix could improve clinical symptoms and alleviate weakness symptoms. In terms of safety， compared with the baseline， alanine aminotransferase （ALT） levels significantly decreased in both groups （P<0.05，P<0.01），indicating that Astragali Radix did not induce any significant abnormalities in liver and kidney functions. ConclusionAstragali Radix demonstrates the potential to significantly improve the gut microbiota environment in patients of newly diagnosed type 2 diabetes with Qi deficiency. The therapeutic effect may contribute to glycemic control， possibly mediated by an elevation in GLP-1 level. These findings may support its further clinical investigations and potential applications.

Intracranial atherosclerosis （ICAS） is an important etiology of ischemic stroke and has a complex pathogenesis. Iron is an essential trace element for maintaining normal physiological functions of the human body， and the regulation of iron homeostasis is of great significance for ensuring proper physiological activities. Studies in recent years have shown that iron metabolism disorder plays a pivotal role in the development and progression of intracranial atherosclerotic cerebral infarction， involving various pathological processes such as inflammatory response， cell death， lipid metabolism， and blood-brain barrier dysfunction. This article systematically elaborates on the mechanisms through which iron overload promotes ICAS， including oxidative stress， inflammatory response， and lipid peroxidation，with a focus on the key role of related molecular mechanisms （including glutathione depletion， inhibition of GPX4 activity， and lipid peroxide accumulation）in intracranial atherosclerotic cerebral infarction， in order to provide new ideas for the prevention and treatment of intracranial atherosclerotic disease.

Objective To observe the clinical efficacy of Shuxin Jieyu Decoction(composed of Chuangxiong Rhizoma,Angelicae Sinensis Radix,Bupleuri Radix,Paeoniae Radix Alba,Paeoniae Radix Rubra,Curcumae Radix,Ziziphi Spinosae Semen,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Platycladi Semen,Polygoni Multiflori Caulis,Polygalae Radix,Toosendan Fructus,Corydalis Rhizoma,and Albiziae Cortex)in treating coronary heart disease(CHD)with angina pectoris complicated by anxiety disorder in patients with qi stagnation and blood stasis syndrome.Methods Sixty patients diagnosed with qi stagnation and blood stasis syndrome type of CHD with angina pectoris and anxiety disorder were enrolled from the outpatient and inpatient departments of Taihe Hospital of Traditional Chinese Medicine Affiliated to Anhui University of Chinese Medicine between January 2024 and January 2025.Patients were randomly divided into an observation group(n=30)and a control group(n=30)using a random number table method.The control group received conventional CHD treatment and anxiolytic therapy(Flupentixol and Melitracen Tablets),while the observation group additionally received Shuxin Jieyu Decoction.Both groups were treated for 4 weeks.Changes in traditional Chinese medicine(TCM)syndrome scores and Hamilton Anxiety Rating Scale(HAMA)scores were evaluated before and after treatment.The therapeutic effects of angina pectoris,nitroglycerin reduction/cessation rates,and total adverse event rates were compared between the two groups.Results(1)After 4 weeks of treatment,the total effective rate in the observation group was 93.33％(28/30),compared to 73.33％(22/30)in the control group.The intergroup comparison(by Fisher's precision probability test)showed that the observation group's efficacy was significantly superior to that of the control group(P＜0.05).(2)After treatment,both groups showed significant reductions in TCM syndrome scores(P＜0.05)for symptoms including chest tightness and pain,costal distension,anxiety,palpitations,excessive sighing,irritability,and insomnia.The observation group's reduction was significantly greater than that of the control group(P＜0.05).(3)After 4 weeks,the total reduction/discontinuation rate of nitroglycerin was 90.00％(27/30)in the observation group versus 66.67％(20/30)in the control group.The intergroup comparison(by Fisher's precision probability test)showed that the observation group's reduction rate was significantly higher than that of the control group(P＜0.05,Fisher's precision probability test).(4)After treatment,both groups exhibited reduced Hamilton Anxiety Rating Scale(HAMA)scores(P＜0.05),with the observation group showing a significantly greater improvement(P＜0.05).(5)The total incidence of adverse reactions was 20.00％(6/30)in the observation group and 23.33％(7/30)in the control group,with no statistically significant difference between groups(P＞0.05).Conclusion The combination of Shuxin Jieyu Decoction with conventional western medicine treatment demonstrates superior clinical efficacy compared to conventional western medicine alone in patients with qi stagnation and blood stasis syndrome type of CHD with angina pectoris and anxiety disorder.It effectively alleviates angina symptoms and anxiety disorder,reduces nitroglycerin usage,without increasing adverse effects.

Objective To investigate the clinical efficacy of the Lower Limb Detumescence Formula(derived from Taohong Siwu Decoction)in treating lower limb swelling in patients with qi stagnation and blood stasis syndrome after total knee arthroplasty(TKA),and to analyze the changes in traditional Chinese medicine(TCM)syndrome types before and after surgery.Methods A total of 60 patients diagnosed with knee osteoarthritis and lower limb swelling with qi stagnation and blood stasis syndrome after TKA,hospitalized in the Department of Artificial Joints and Knee Surgery,The First Affiliated Hospital of Guangzhou University of Chinese Medicine between November 2024 and January 2025,were selected.Based on patients' preferences and postoperative medication,the patients were divided into three groups:the Chinese medicine Group(25 cases),the Lishang Group(15 cases),and the Aescuven Forte Group(20 cases).Changes in limb circumference on the affected side were used to describe knee volume changes,and were measured preoperatively and on postoperative days 1,3,and 30.Results(1)Regarding lower limb swelling,the calf and thigh circumferences of the affected side in all three groups showed a trend of early exacerbation(on postoperative days 1 and 3)followed by later relief(on postoperative day 30).Peak swelling occurred on postoperative day 3,with statistically significant differences compared to preoperative measurements(P＜0.05).Subsequently,swelling gradually alleviated,and the calf and thigh circumferences of the affected side progressively decreased,the circum ferences on postoperative day 30 differed from those on postoperative days 1 and 3(P＜0.05).However,there were no statistically significant differences in improving calf and thigh circumferences among the three groups(P＞0.05).(2)In terms of adverse reactions,the Lishang Group and the Aescuven Forte Group each reported two adverse events,including postoperative wound bleeding,subcutaneous ecchymosis,pulmonary infection,and constipation.The Chinese medicine group reported no gastrointestinal adverse events,and patient treatment compliance was better than that in the Lishang Group and the Aescuven Forte Group.(3)Regarding TCM syndrome differentiation,each patient received four assessments at different time points(preoperatively and on postoperative days 1,3,and 30),resulting in 240 valid data entries.Among these,qi stagnation and blood stasis syndrome was the most common(170 cases,70.83％),followed by liver and kidney deficiency syndrome(64 cases,26.67％),and qi and blood deficiency syndrome was the least common(6 cases,2.50％).(4)Comparison of the relationship between different groups and syndrome types revealed no significant association between group distribution and syndrome type(P＞0.05).Further generalized estimating equation analysis showed that grouping had no significant effect on TCM syndrome differentiation(P＞0.05).(5)Comparison of the relationship between different time points and syndrome types revealed that preoperative syndromes predominantly consisted of liver and kidney deficiency(96.67％),while on postoperative days 1 and 3,all cases were classified as qi stagnation and blood stasis syndrome(100.00％).On postoperative day 30,qi stagnation and blood stasis syndrome remained the most common(80.00％).There was a significant association between time points and syndrome distribution(P＜0.05).Further generalized estimating equation analysis indicated that time points significantly influenced TCM syndrome differentiation(P＜0.001).Conclusion The Lower Limb Detumescence Formula demonstrates efficacy comparable to Lishang Xiaozhong Oral Liquid and Aescuven Forte Tablets in improving lower limb swelling in patients with qi stagnation and blood stasis syndrome after TKA.By promoting blood circulation,resolving stasis,strengthening the spleen,and eliminating accumulation,this formula reduces the incidence of adverse reactions such as postoperative wound bleeding,subcutaneous ecchymosis,and constipation.It provides a new pharmacological option for treating lower limb swelling after TKA,and is particularly suitable for patients with qi stagnation and blood stasis syndrome accompanied by spleen deficiency.

Objective To observe the therapeutic efficacy of Jisheng Shenqi Pills combined with endocrine therapy in alleviating lower urinary tract obstruction symptoms of patients with advanced prostatecancer(PCa).Methods A total of 68 patients with advanced PCa complicated by lower uri-nary tract obstruction symptoms were randomly divided into observation group and control group,with 34 cases in each group.The control group received endocrine therapy alone,while the observation group received Jisheng Shenqi Pills on the basis of the control group.Both groups underwent a course of 3-month treatment.The total therapeutic effectiveness rate,traditional Chinese medicine(TCM)syndrome scores,maximum urinary flow rate(Qmax),residual urinary volume(RUV),International Prostate Symptom Score(IPSS),prostate-specific antigen(PSA)levels,and Quality of Life(QOL)Scale scores were compared between the two groups.Results The total therapeutic effectiveness rate in the observation group was 94.12％,which was significantly higher than 82.35％in the control group(P＜0.05).After treatment,TCM syndrome scores decreased in both groups,with the obser-vation group had significantly lower scores than the control group(P＜0.05).Both groups exhibited an increase in Qmax and a decrease in RUV after treatment,with the observation group had significant-ly higher Qmax and lower RUV compared to the control group(P＜0.05).PSA level decreased signif-icantly in both groups after treatment(P＜0.05),but no significant difference was observed between the two groups(P＞0.05).IPSS score was decreased while QOL score was increased in both groups after treatment,with the observation group had significantly lower IPSS score and higher QOL score compared to the control group(P＜0.05).Conclusion Jisheng Shenqi Pills combined with endo-crine therapy effectively alleviates urinary obstruction symptoms,improves TCM syndromes,and en-hances quality of life in patients with advanced PCa.

OBJECTIVE: To carry out genetic testing and clinical phenotypic characterization on a four-generation Chinese pedigree affected with Stickler syndrome type I and explore its genotype-phenotype correlation. METHODS: A child presented at the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine in February 2023 for micrognathia, glossoptosis and cleft palate and his family members were selected as the study subjects. Clinical data were collected from the affected members, and peripheral blood samples were obtained from 17 participants (including 4 patients and 13 asymptomatic individuals). Whole exome sequencing (WES) was carried out. Candidate variant was verified by Sanger sequencing. Genotype-phenotype correlation was analyzed by integrating the sequencing data with evidence from existing literature. This study has bee granted by the Ethics Committee of Guangdong Provincial Hospital of Traditional Chinese Medicine and Guangzhou Women and Children's Medical Center (Ethics No.: 2022-406B00). RESULTS: The four-generation pedigree has comprised 19 members. In addition to the proband, 5 affected individuals had manifested with high myopia, congenital cataracts, and progressive vision loss. Two deceased members reportedly exhibited similar ocular manifestations. Among the four living patients, two had developed retinal detachment, while two others presented with chronic joint pain onset between 35 ~ 40 years of age. One patient required hip replacement surgery at age 42 secondary to femoral head necrosis. The proband, the youngest affected member, exhibited characteristic phenotypes including congenital micrognathia and cleft palate, consistent with Pierre-Robin syndrome. Genetic analysis revealed a heterozygous nonsense mutation in COL2A1 (NM_001844.5: c.2668C>T; p.Gln890Ter) segregating with the disease in all four symptomatic patients. This variant was absent in asymptomatic family members and unaffected controls. While the mutation is listed in ClinVar, no clinical case report has associated it with this phenotypic spectrum. It was not recorded in population databases (gnomAD v4.1.0, 1000 Genomes Project, or ExAC), supporting its potential pathogenicity. CONCLUSION This study has diagnosed a four-generation Chinese pedigree with Stickler syndrome type I attributed to the pathogenic COL2A1 variant c.2668C>T (p.Gln890Ter), which is a rare nonsense mutation associated with ocular predominance and variable skeletal involvement. Notably, this family exhibited marked clinical heterogeneity despite sharing the identical genotype, which highlighted the challenges in phenotype-genotype correlation. The autosomal dominant transmission pattern observed in this pedigree has provided critical insights into COL2A1-related collagenopathies and underscored the necessity of ultrasonographic monitoring for ocular anomalies during prenatal diagnosis. Above findings have advanced our understanding of the pleiotropic effects in type Ⅱ collagen disorders and laid the foundation for precision-based genetic counseling, enabling targeted cascade screening and implementation of tertiary prevention strategies against congenital disabilities for high-risk families.
Adolescent ; Adult ; Child ; Child, Preschool ; Female ; Humans ; Male ; Middle Aged ; Arthritis/genetics* ; Collagen Type II/genetics* ; Connective Tissue Diseases/genetics* ; Exome Sequencing ; Genetic Association Studies ; Genotype ; Hearing Loss, Sensorineural/genetics* ; Mutation ; Pedigree ; Phenotype ; Retinal Detachment/genetics* ; East Asian People/genetics*

Objective:To develop and validate machine learning-based radiomics models using preoperative CT images for individualized prediction of mitotic index (MI) in patients with gastrointestinal stromal tumors (GIST).Methods:The study was a case-control study. The data of 348 GIST patients confirmed by pathology were retrospectively collected from two independent medical centers: the Affiliated Hospital of Qingdao University (center 1) and Shandong Provincial Hospital Affiliated to Shandong First Medical University (center 2), covering the period from January 2013 to June 2018. Patients from center 1 were divided into a training cohort (176 cases) and an internal validation cohort (75 cases) at a ratio of 7∶3 using random sampling. Patients from center 2 served as an independent external validation cohort (97 cases). The primary endpoint was MI, categorized into high MI (145 cases) and low MI (203 cases) groups. Radiomic features were extracted from the portal venous phase images of preoperative contrast-enhanced CT scans. Five machine learning algorithms, including logistic regression, support vector machine, random forest, decision tree, and extreme gradient boosting (XGBoost),were employed to construct MI prediction models. The optimal model was identified using receiver operating characteristic curves. An individualized prediction model was developed by integrating the the optimal machine learning model combined with selected independent clinical factors, and the importance of features was visualized using Shapley Additive Explanation (SHAP) analysis. Patients were followed up, and Kaplan-Meier curves along with log-rank tests were used to evaluate recurrence-free survival (RFS) differences between the predicted high MI and low MI groups.Results:Among the five constructed machine learning models, the XGBoost model demonstrated the best predictive performance, with area under the curve (AUC) of 0.809 (95% CI 0.738-0.872), 0.693 (95% CI 0.571-0.809), and 0.718 (95% CI 0.605-0.822) in the training cohort, internal validation cohort, and external validation cohort, respectively. An individualized prediction model combining the XGBoost model with independent clinical factors (tumor location and tumor size) was developed. The model achieved AUC of 0.843 (95% CI 0.785-0.899), 0.791 (95% CI 0.680-0.894), and 0.777 (95% CI 0.678-0.861) in the training cohort, internal validation cohort, and external validation cohort, respectively. SHAP analysis indicated that radiomic features had the highest predictive impact. In both the training cohort and internal validation cohort, the RFS of patients predicted to be in the high MI group was lower than that of the low MI group, with statistically significant differences ( χ2=14.58, 9.52, both P<0.001). However, there was no statistically significant difference in RFS in the external validation set ( χ2=6.18, P=0.080). Conclusions:The optimal XGBoost model based on radiomic features extracted from preoperative portal venous phase CT images, when combined with clinical factors, can effectively predict the MI of GIST patients.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.