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.

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.

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.

Pancreatic surgery remains one of the most challenging fields in general surgery due to its complex anatomy and high risk of complications.In recent years,the integration of digital intelligent technologies-such as three-dimensional(3D)reconstruction,fluorescence navigation,augmented/mixed reality(AR/MR),and artificial intelligence(AI)-has provided new strategies for achieving precision,safety,and intelligence in pancreatic surgery.This review summarizes the innovations and clinical applications of these technologies throughout the full perioperative process,including preoperative planning,intraoperative navigation,and postoperative monitoring.Preoperatively,the deep learning-based nnU-Net framework enables high-precision 3D reconstruction of peripancreatic vessels and pancreaticobiliary ducts for individualized surgical planning.Intraoperatively,multimodal image fusion combining indocyanine green fluorescence imaging with AR/MR navigation allows real-time visualization and spatial localization of key anatomical structures,enhancing surgical accuracy and safety.Postoperatively,AI-driven models integrated with wearable sensors and multimodal data support intelligent risk prediction and early intervention for complications.The systematic application of digital intelligence is reshaping the paradigm of pancreatic surgery,driving the transition from experience-based to data-driven and from surgeon-dependent to intelligent decision-making.With continuous algorithmic refinement and accumulation of clinical evidence,digital empowerment will further advance pancreatic surgery toward personalization,precision,and intelligence.

Objective To explore the prognostic value of serum glutathione reductase(GR),superoxide dismutase(SOD),cystatin C(Cys-C),homocysteine(Hcy)and lipoprotein a[Lp(a)]levels in patients with cerebral ischemic stroke(CIS),and to provide a reference for improving the prognosis of CIS patients.Methods 126 patients with CIS admitted to the 980th Hospital of Joint Logistics Support Force from June 2022 to April 2023 were selected as the observation group,another 126 healthy individuals were selected as the control group at a ratio of 1:1.The expression levels of GR,SOD,Cys-C,Hcy and Lp(a)in the two groups were detected and compared after admission and during physical examination.The degree of neurological deficit in patients with CIS was classified into mild(NIHSS:2～4 points,n=35),moderate(NIHSS:5～15 points,n=47),moderate-severe(NIHSS:16～20 points,n=26)and severe(NIHSS:21～42 points,n=18)according to the National Institutes of Health Stroke Scale(NIHSS).The expression of serum GR,SOD,Cys-C,Hcy and Lp(a)in patients with different degrees of neurological deficit was compared,and the correlation between each indicator and the degree of neurological deficit was analyzed.The observation group received intravenous thrombolytic therapy after admission and was re-examined one day after thrombolysis.After treatment,follow-up visits were conducted for 28 days.According to the patient's condition(modified Rankin scale),patients were divided into good prognosis(n=94)and poor prognosis groups(n=32).The levels of each indicator in patients with different prognoses were compared,and the predictive value of GR,SOD,Cys-C,Hcy and Lp(a)expression for poor prognosis and early warning were analyzed.Results The expression levels of serum GR(48.54±3.07U/L)and SOD(157.17±25.47U/ml)in the observation group were lower than those in the control group(61.68±3.15U/L,203.63±18.31U/ml),while the expression levels of Cys-C(1.24±0.28mg/L),Hcy(15.21±1.62μmol/L)and Lp(a)(386.53±52.16mg/L)were higher than those in the control group(0.82±0.23mg/L,9.58±0.60μmol/L,257.83±45.34mg/L),with statistically significant differences(t=13.011～36.582,all P<0.05).As the disease progressed,the expression levels of GR and SOD gradually decreased,while the expression levels of Cys-C,Hcy and Lp(a)gradually increased,with statistically significant differences(F=14.685～197.041,all P<0.05).Spearman analysis,GR and SOD were negatively correlated with the degree of neurological deficit in patients with CIS(r=-0.814,-0.753,all P<0.05),while Cys-C,Hcy and Lp(a)were positively correlated with the degree of neurological deficit in patients with CIS(r=0.647,0.782,0.724,all P<0.05).The expression of GR and SOD in patients with good prognosis at admission and 1 day after thrombolysis was higher than that in patients with poor prognosis(t=9.109,6.338;2.934,4.358,all P<0.05),while the expression of Cys-C,Hcy and Lp(a)was lower than that in patients with poor prognosis(t=5.246,5.118,8.561;4.636,5.298,7.461,all P<0.05).The AUC(95%CI)of combined prediction of GR,SOD,Cys-C,Hcy and Lp(a)at admission was 0.898(0.832～0.945),and the AUC(95%CI)of combined prediction of GR,SOD,Cys-C,Hcy and Lp(a)at 1 day after thrombolysis was 0.931(0.871～0.968).The RR(95%CI)values caused by the expression of GR,SOD,Cys-C,Hcy and Lp(a)at 1 day after thrombolysis were 2.868(1.594～5.161),3.194(1.807～5.645),0.155(0.082～0.291),0.150(0.071～0.319)and 0.227(0.119～0.435).Conclusion Abnormal changes in the levels of GR,SOD,Cys-C,Hcy and Lp(a)are closely related to the degree of neurological deficit and prognosis in patients with CIS.Early combined detection of GR,SOD,Cys-C,Hcy and Lp(a)levels has high predictive value and early warning for evaluating the poor prognosis of patients with CIS.

Objective To observe the value of ultrasound combined with hematologic tests for diagnosing acute complicated appendicitis.Methods Data of 225 patients with acute appendicitis confirmed by surgery and postoperative pathology were retrospectively analyzed.The patients were divided into acute complicated appendicitis group(complicated group,n=33)and acute uncomplicated appendicitis group(uncomplicated group,n=192)based on operational and post operation pathological findings.Clinical data,hematologic test results and ultrasound findings before operation were compared between groups.Multivariate logistic regression was used to construct a combination model for diagnosing acute complicated appendicitis.Receiver operating characteristic(ROC)curve and area under the curve(AUC)were used to evaluate the diagnostic value of predictive factor alone and their combination for diagnosing acute complicated appendicitis,which were then compared with DeLong test.Results Compared with uncomplicated group,patients in complicated group were older,with higher proportion of fever and vomiting,higher level of C reactive protein(CRP)and of neutrophil-to-lymphocyte ratio(NLR),larger external diameters of appendix,also higher proportion of appendiceal intracavitary fecalith and periappendiceal abscess(all P＜0.05).Multivariate logistic regression analysis showed that elevated serum CRP and NLR,increased external diameter of appendix and periappendiceal abscess were all predictive factors of acute complicated appendicitis(all P＜0.05).The diagnostic efficiency of logistic regression model constructed based on the above factors(AUC=0.854)was higher than that of each single predictive factor alone(Z=2.548-4.527,all P＜0.05).Conclusion Ultrasound combined with hematologic tests had high value for diagnosing acute complicated appendicitis.

Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.

Objective:To analyze the characteristics of BRCA gene mutations in patients with ovarian epithelial carcinoma and fallopian tube carcinoma, and to investigate the impact of mutations in the functional domains of the BRCA genes on the prognosis of patients.Methods:This research collected a total of 273 patients diagnosed with primary ovarian epithelial carcinoma or fallopian tube carcinoma by pathological examination at the First Affiliated Hospital of Nanjing Medical University between January 2009 and December 2023.Data on their BRCA gene mutation status, clinicopathological data, and follow-up information were collected. A retrospective analysis was conducted to evaluate the association between BRCA gene mutations and patients' prognosis, including progression free survival (PFS) and overall survival (OS) time.Results:Among the 273 patients with ovarian or fallopian tube carcinoma, 101 cases (37.0%, 101/273) were positive for BRCA gene mutations (BRCA-positive group), while 172 cases (63.0%, 172/273) were negative for BRCA gene mutations (BRCA-negative group). (1) Clinicopathological characteristics: compared with the BRCA-negative group, the BRCA-positive group had a younger age at diagnosis, lower proportion of postmenopausal status, and lower recurrence rate (all P<0.05). Additionally, the BRCA-positive group showed a higher prevalence of family history of gynecological malignancies and a higher rate of no visible residual disease (R0) resection, all with statistical significance (all P<0.05). (2) Characteristics of BRCA gene mutations: among the 101 BRCA-positive patients, 74 cases (27.1%, 74/273) had BRCA1 gene mutations, 26 cases (9.5%, 26/273) had BRCA2 gene mutations, and 1 case (0.4%, 1/273) had indeterminate mutation records. According to the American College of Medical Genetics and Genomics (ACMG) 2015 guideline, mutations of uncertain significance accounted for 22.8% (23/101), likely pathogenic mutations accounted for 10.9% (11/101), and pathogenic mutations accounted for 59.4% (60/101), with 5.9% (6/101) unclassifiable. BRCA1 and BRCA2 genes have three (RING, DBD, BRCT) and two (RAD51-BD, DBD) major functional domains, respectively. Among the 89 BRCA-positive patients with detailed domain mutation data, the overall domain mutation rate was 40.4% (36/89), distributed as follows: DBD 14.6% (13/89), BRCT 12.4% (11/89), RING 4.5% (4/89), and RAD51-BD 9.0% (8/89). (3) Association between BRCA gene functional domain mutations and prognosis: among 77 patients with advanced stage (Ⅲ-Ⅳ) ovarian epithelial carcinoma in the BRCA-positive group with functional domain mutation data, the median PFS time was significantly longer in the 31 patients with domain mutations compared to the 46 patients with non-domain mutations (not reached during the follow-up period, vs 26.0 months; P=0.035). However, there was no significant difference in median OS time between the two groups (not reached during the follow-up period, vs 67.0 months; P=0.513). Median PFS time was longer in 13 patients with mutations in the DBD functional domain than that in 64 patients with mutations outside the DBD functional domain (not reached during the follow-up period, vs 28.0 months; P=0.042), whereas there was no significant difference in the comparison of median OS time between the two groups (not reached during the follow-up period, vs 67.0 months; P=0.321). (4) Association between BRCA gene functional domain mutations and efficacy of poly adenosine diphosphate ribose polymerase inhibitor (PARPi) maintenance therapy: among 51 advanced stage ovarian epithelial carcinoma patients who received PARPi maintenance therapy in the BRCA-positive group, 20 patients with domain mutations demonstrated significantly longer median PFS time compared to 31 patients with non-domain mutations (not reached during the follow-up period, vs 31.0 months; P=0.039). However, no significant difference was observed in median OS time between the two groups (not reached during the follow-up period, vs 53.0 months; P=0.178). PARPi maintenance therapy was more effective in the 9 patients with mutations in the DBD functional domain than that in the 42 patients with mutations located outside the DBD structural domain, with significant differences observed in both median PFS time (both not reached during the follow-up period; P=0.007) and median OS time (both not reached during the follow-up period; P=0.037). In contrast, patients with mutations in the BRCT or RAD51-BD domains showed no significant differences in either median PFS or OS time compared to patients with mutations outside these domains (all P>0.05). Conclusions:Patients with ovarian epithelial carcinoma and fallopian tube carcinoma who harbor BRCA functional domain mutations exhibit significantly longer median PFS time compared to those with non-domain mutations. Moreover, among patients received PARPi maintenance therapy, those with mutations in the DBD domain have a better median PFS and OS time benefit.

Pancreatic surgery remains one of the most challenging fields in general surgery due to its complex anatomy and high risk of complications.In recent years,the integration of digital intelligent technologies-such as three-dimensional(3D)reconstruction,fluorescence navigation,augmented/mixed reality(AR/MR),and artificial intelligence(AI)-has provided new strategies for achieving precision,safety,and intelligence in pancreatic surgery.This review summarizes the innovations and clinical applications of these technologies throughout the full perioperative process,including preoperative planning,intraoperative navigation,and postoperative monitoring.Preoperatively,the deep learning-based nnU-Net framework enables high-precision 3D reconstruction of peripancreatic vessels and pancreaticobiliary ducts for individualized surgical planning.Intraoperatively,multimodal image fusion combining indocyanine green fluorescence imaging with AR/MR navigation allows real-time visualization and spatial localization of key anatomical structures,enhancing surgical accuracy and safety.Postoperatively,AI-driven models integrated with wearable sensors and multimodal data support intelligent risk prediction and early intervention for complications.The systematic application of digital intelligence is reshaping the paradigm of pancreatic surgery,driving the transition from experience-based to data-driven and from surgeon-dependent to intelligent decision-making.With continuous algorithmic refinement and accumulation of clinical evidence,digital empowerment will further advance pancreatic surgery toward personalization,precision,and intelligence.

Objective:To investigate the clinicopathological features,treatment and prognosis of endometrial carcinoma arising in endometrial polyps(EPs).Methods:Thirty-eight cases of endometrial carcinoma arising in EPs were collected in the First Affiliated Hospital of Nanjing Medical University from January 2010 to December 2021.The clinical data,pathological characteristics,and follow-up information were retrospectively analyzed from three dimensions:tumor histological type,the menopausal status of the patients and the scope of malignant le-sions.Results:①In terms of tumor histological type,uterine endometrioid carcinoma 33 cases(86.8%)and uter-ine serous carcinoma 50 cases(13.2%),the mean age of patients with endometrioid carcinoma arising from EPs was significantly lower than that of patients with serous carcinoma arising from EPs(53.3±10.0 years vs.63.4±10.3 years,P=0.043).②In terms of menopausal status,endometrioid carcinoma progressed from atypical poly-poid adenomyoma(APA)accounted for 55.6%(10/18)and 5.0%(1/20)in the pre-and post-menopausal group,respectively(P=0.001).The rate of adjuvant therapy was significantly lower in premenopausal patients than in postmenopausal patients(16.7%vs.50.0%,P=0.043).③There were no significant differences in pa-tients age,menopausal status,BMI,comorbidities,abnormal uterine bleeding,maximum diameter of EP,tumor stage,grade,treatment or recurrence rate between cases with tumors confined and unconfined to EPs.Conclu-sions:Endometrioid and serous carcinomas progressed from EPs were more common in perimenopausal and postmenopausal patients,respectively.Malignancies derived from APA contributed to almost half of EP-arising carcinomas in premenopausal women,with a higher degree of differentiation and a low rate of postoperative adju-vant therapy.