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 explore the effects and potential mechanisms of chemokine-like factor-like MARVEL transmembrane domain-containing Protein 3 (CMTM3) on the proliferation and migration of glioblastoma (GBM) cells.Methods:Using CMTM3 expression data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, we analyzed the differential expression of CMTM3 in GBM tissues and its impact on the prognosis of GBM patients. Immunohistochemical staining and protein content determination of CMTM3 was performed on GBM and adjacent non-cancerous tissue samples from 11 GBM patients who underwent surgical treatment at the Affiliated Hospital of Guizhou Medical University between November 3, 2022 and March 15, 2023. Additionally, the expression of CMTM3 was validated in GBM cell lines U87, U251, LN229, and the human astrocyte (NHA) cell line using real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot analyses. Stable cell lines with silenced and overexpressed CMTM3 (sh-CMTM3 group and OE-CMTM3 group) were constructed using U251 cells. The effect of CMTM3 expression on cell proliferation was assessed using the Cell Counting Kit-8 (CCK-8) assay. Flow cytometry was employed to examine the impact of CMTM3 expression on the cell cycle. Transwell assays were conducted to evaluate the influence of CMTM3 expression on cell migration. Bioinformatics analysis, Western blotting, NF-κB activation-nuclear translocation assays, and the NF-κB pathway inhibitor pyrrolidine dithiocarbamate ammonium (PDTC) were used to validate the effect of CMTM3 on the NF-κB pathway. Finally, a subcutaneous tumorigenesis assay in nude mice was performed to observe the impact of CMTM3 expression on the in vivo growth of U251 cells. Results:Bioinformatics analysis revealed that CMTM3 is highly expressed in GBM tissues. Patients with a high CMTM3 expression had lower overall survival (OS) and disease-free survival (DFS) rates compared with those with a low CMTM3 expression (with P values of 0.010 and 0.032, respectively). Among the 11 GBM pathological specimens, 10 samples exhibited higher CMTM3 protein expression levels in the cancerous tissue compared with the adjacent non-cancerous tissue. The average CMTM3 protein expression in these samples was 0.44±0.09, significantly higher than that in the adjacent non-cancerous tissues (0.12±0.02, P＜0.001). In one sample, the difference in CMTM3 protein expression between the cancerous and adjacent non-cancerous tissues was not statistically significant ( P=0.750).The RT-qPCR results showed that the mRNA expression level of CMTM3 in NHA cells was 1.0±0.1, whereas in GBM cells U87, LN229, and U251, the levels were 2.1±0.3, 3.4±0.5, and 3.7±0.8, respectively, all significantly higher than that in NHA cells (all P＜0.01). Western blot results demonstrated that the protein expression levels of CMTM3 in GBM cells U87, LN229, and U251 were 1.5±0.2, 1.8±0.2, and 1.9±0.1, respectively, also higher than that in NHA cells (0.7±0.2, all P＜0.01), with the highest level observed in U251 cells. The CCK-8 assay, Flow cytometry, and Transwell migration experiments indicated that cell viability was inhibited in the sh-CMTM3 group, with an increase in the proportion of cells in the G 0/G 1 phase ( P＜0.01) and a decrease in the S phase ( P＜0.01), and the number of migrated cells was 233.6±35.5, lower than that in the sh-NC group ( P＜0.001). Conversely, the OE-CMTM3 group showed enhanced cell viability, a reduction in the proportion of cells in the G 0/G 1 phase ( P＜0.01), and an increase in the S phase ( P＜0.01), and the number of migrated cells was 1212.0±20.8, higher than that in the OE-NC group ( P＜0.001). However, in the OE-CMTM3+PDTC group, cell viability, cell cycle distribution (G 1, S, and G 2 phases), and cell migration numbers showed no significant changes (all P＞0.05). Western blot analysis and NF-κB activation-nuclear translocation assay results indicated that in the sh-CMTM3 group, the p-p65/p65 ratio was 0.51±0.04 and the p-IκBα/IκBα ratio was 0.39±0.03, both lower than those in the sh-NC group (both P＜0.01). The cytoplasmic staining rate was (49.29±1.98)%, higher than that in the sh-NC group ( P＜0.01). In the OE-CMTM3 group, the p-p65/p65 ratio was 2.27±0.10 and the p-IκBα/IκBα ratio was 2.14±0.15, both higher than those in the OE-NC group (both P＜0.01). The cytoplasmic staining rate was (18.96±1.44)%, lower than that in the OE-NC group ( P＜0.01). In the OE-CMTM3+PDTC group, there were no significant differences in the p-p65/p65 ratio, p-IκBα/IκBα ratio, and cytoplasmic staining rate compared with the OE-NC group (all P＞0.05). The subcutaneous tumorigenesis assay in nude mice showed that the tumor volume in the sh-CMTM3 group was (408.9±96.2) mm3, smaller than that in the sh-NC group ( P=0.003). The tumor volume in the OE-CMTM3 group was (1 514.5±251.5) mm3, larger than that in the OE-NC group ( P=0.005). Conclusions:In GBM, CMTM3 is highly expressed and negatively correlated with both OS and DFS of patients. CMTM3 regulates the proliferation and migration abilities of U251 cells through the NF-κB signaling pathway.

Objective:To develop CNN-Dinov2, a deep learning-based automatic classification model for Gram-stained images, enabling rapid diagnosis of three prevalent Gram-negative bacilli in bloodstream infections: Escherichia coli ( E.coli), Klebsiella pneumoniae ( K.pneumoniae), and Pseudomonas aeruginosa ( P.aeruginosa). Methods:This evaluation study analyzed 1 425 Gram-stained microscopic images from patients with bloodstream infections at Houjie Hospital, in Dongguan City, collected between January 2023 and January 2024. The images, all positive for blood culture and identified as target strains, were categorized into Escherichia coli (419 images), Klebsiella pneumoniae (411 images), Pseudomonas aeruginosa (413 images), and other Gram-negative bacilli (182 images). They were randomly split into a training set (1 141 images), a validation set (141 images), and a test set (143 images) in an 8∶1∶1 ratio. A hybrid CNN-Dinov2 model was developed by integrating ResNet′s local feature extraction with Dinov2′s global pre-trained features, followed by a fully connected layer. The model was optimized by inputting the preprocessed images and adjusting parameters through loss calculation and backpropagation. AlexNet, Dinov2, and ResNet18 served as control models. The models′ classification performance was assessed using accuracy, precision, weighted F1 score, and recall rate, derived from the confusion matrix. The PR curve and AP value further evaluated each model′s classification capability across the four image categories. Results:The CNN-Dinov2 model achieved a training accuracy of 99.74%, a validation accuracy of 98.12%, and a validation loss of 0.070 6, demonstrating robust generalization without overfitting. Validation metrics revealed superior performance with an accuracy of 98.60%, precision of 98.65%, a weighted F1 score of 98.60%, and a recall rate of 98.60%, outperforming other models. The confusion matrix confirmed its strong classification capability, with the highest sum of diagonal values for identifying four types of bacteria. The macro average precision (AP) values under the precision-recall (PR) curves were all 1, indicating excellent discrimination across all categories. Overall, the CNN-Dinov2 model exhibited the best performance among the four models evaluated.Conclusion:This study successfully developed CNN-Dinov2, an automated classification model for Gram staining images. It offers valuable support for the rapid diagnosis of bloodstream infections caused by Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, demonstrating practical utility.

Objective:To develop CNN-Dinov2, a deep learning-based automatic classification model for Gram-stained images, enabling rapid diagnosis of three prevalent Gram-negative bacilli in bloodstream infections: Escherichia coli ( E.coli), Klebsiella pneumoniae ( K.pneumoniae), and Pseudomonas aeruginosa ( P.aeruginosa). Methods:This evaluation study analyzed 1 425 Gram-stained microscopic images from patients with bloodstream infections at Houjie Hospital, in Dongguan City, collected between January 2023 and January 2024. The images, all positive for blood culture and identified as target strains, were categorized into Escherichia coli (419 images), Klebsiella pneumoniae (411 images), Pseudomonas aeruginosa (413 images), and other Gram-negative bacilli (182 images). They were randomly split into a training set (1 141 images), a validation set (141 images), and a test set (143 images) in an 8∶1∶1 ratio. A hybrid CNN-Dinov2 model was developed by integrating ResNet′s local feature extraction with Dinov2′s global pre-trained features, followed by a fully connected layer. The model was optimized by inputting the preprocessed images and adjusting parameters through loss calculation and backpropagation. AlexNet, Dinov2, and ResNet18 served as control models. The models′ classification performance was assessed using accuracy, precision, weighted F1 score, and recall rate, derived from the confusion matrix. The PR curve and AP value further evaluated each model′s classification capability across the four image categories. Results:The CNN-Dinov2 model achieved a training accuracy of 99.74%, a validation accuracy of 98.12%, and a validation loss of 0.070 6, demonstrating robust generalization without overfitting. Validation metrics revealed superior performance with an accuracy of 98.60%, precision of 98.65%, a weighted F1 score of 98.60%, and a recall rate of 98.60%, outperforming other models. The confusion matrix confirmed its strong classification capability, with the highest sum of diagonal values for identifying four types of bacteria. The macro average precision (AP) values under the precision-recall (PR) curves were all 1, indicating excellent discrimination across all categories. Overall, the CNN-Dinov2 model exhibited the best performance among the four models evaluated.Conclusion:This study successfully developed CNN-Dinov2, an automated classification model for Gram staining images. It offers valuable support for the rapid diagnosis of bloodstream infections caused by Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, demonstrating practical utility.

Objective:To explore the effects and potential mechanisms of chemokine-like factor-like MARVEL transmembrane domain-containing Protein 3 (CMTM3) on the proliferation and migration of glioblastoma (GBM) cells.Methods:Using CMTM3 expression data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, we analyzed the differential expression of CMTM3 in GBM tissues and its impact on the prognosis of GBM patients. Immunohistochemical staining and protein content determination of CMTM3 was performed on GBM and adjacent non-cancerous tissue samples from 11 GBM patients who underwent surgical treatment at the Affiliated Hospital of Guizhou Medical University between November 3, 2022 and March 15, 2023. Additionally, the expression of CMTM3 was validated in GBM cell lines U87, U251, LN229, and the human astrocyte (NHA) cell line using real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot analyses. Stable cell lines with silenced and overexpressed CMTM3 (sh-CMTM3 group and OE-CMTM3 group) were constructed using U251 cells. The effect of CMTM3 expression on cell proliferation was assessed using the Cell Counting Kit-8 (CCK-8) assay. Flow cytometry was employed to examine the impact of CMTM3 expression on the cell cycle. Transwell assays were conducted to evaluate the influence of CMTM3 expression on cell migration. Bioinformatics analysis, Western blotting, NF-κB activation-nuclear translocation assays, and the NF-κB pathway inhibitor pyrrolidine dithiocarbamate ammonium (PDTC) were used to validate the effect of CMTM3 on the NF-κB pathway. Finally, a subcutaneous tumorigenesis assay in nude mice was performed to observe the impact of CMTM3 expression on the in vivo growth of U251 cells. Results:Bioinformatics analysis revealed that CMTM3 is highly expressed in GBM tissues. Patients with a high CMTM3 expression had lower overall survival (OS) and disease-free survival (DFS) rates compared with those with a low CMTM3 expression (with P values of 0.010 and 0.032, respectively). Among the 11 GBM pathological specimens, 10 samples exhibited higher CMTM3 protein expression levels in the cancerous tissue compared with the adjacent non-cancerous tissue. The average CMTM3 protein expression in these samples was 0.44±0.09, significantly higher than that in the adjacent non-cancerous tissues (0.12±0.02, P＜0.001). In one sample, the difference in CMTM3 protein expression between the cancerous and adjacent non-cancerous tissues was not statistically significant ( P=0.750).The RT-qPCR results showed that the mRNA expression level of CMTM3 in NHA cells was 1.0±0.1, whereas in GBM cells U87, LN229, and U251, the levels were 2.1±0.3, 3.4±0.5, and 3.7±0.8, respectively, all significantly higher than that in NHA cells (all P＜0.01). Western blot results demonstrated that the protein expression levels of CMTM3 in GBM cells U87, LN229, and U251 were 1.5±0.2, 1.8±0.2, and 1.9±0.1, respectively, also higher than that in NHA cells (0.7±0.2, all P＜0.01), with the highest level observed in U251 cells. The CCK-8 assay, Flow cytometry, and Transwell migration experiments indicated that cell viability was inhibited in the sh-CMTM3 group, with an increase in the proportion of cells in the G 0/G 1 phase ( P＜0.01) and a decrease in the S phase ( P＜0.01), and the number of migrated cells was 233.6±35.5, lower than that in the sh-NC group ( P＜0.001). Conversely, the OE-CMTM3 group showed enhanced cell viability, a reduction in the proportion of cells in the G 0/G 1 phase ( P＜0.01), and an increase in the S phase ( P＜0.01), and the number of migrated cells was 1212.0±20.8, higher than that in the OE-NC group ( P＜0.001). However, in the OE-CMTM3+PDTC group, cell viability, cell cycle distribution (G 1, S, and G 2 phases), and cell migration numbers showed no significant changes (all P＞0.05). Western blot analysis and NF-κB activation-nuclear translocation assay results indicated that in the sh-CMTM3 group, the p-p65/p65 ratio was 0.51±0.04 and the p-IκBα/IκBα ratio was 0.39±0.03, both lower than those in the sh-NC group (both P＜0.01). The cytoplasmic staining rate was (49.29±1.98)%, higher than that in the sh-NC group ( P＜0.01). In the OE-CMTM3 group, the p-p65/p65 ratio was 2.27±0.10 and the p-IκBα/IκBα ratio was 2.14±0.15, both higher than those in the OE-NC group (both P＜0.01). The cytoplasmic staining rate was (18.96±1.44)%, lower than that in the OE-NC group ( P＜0.01). In the OE-CMTM3+PDTC group, there were no significant differences in the p-p65/p65 ratio, p-IκBα/IκBα ratio, and cytoplasmic staining rate compared with the OE-NC group (all P＞0.05). The subcutaneous tumorigenesis assay in nude mice showed that the tumor volume in the sh-CMTM3 group was (408.9±96.2) mm3, smaller than that in the sh-NC group ( P=0.003). The tumor volume in the OE-CMTM3 group was (1 514.5±251.5) mm3, larger than that in the OE-NC group ( P=0.005). Conclusions:In GBM, CMTM3 is highly expressed and negatively correlated with both OS and DFS of patients. CMTM3 regulates the proliferation and migration abilities of U251 cells through the NF-κB signaling pathway.

Objective To explore the risk factors of perioperative blood transfusion in patients with recurrent nasopharyngeal carcinoma undergoing nasal endoscopic surgery,and construct a nomogram predic-tion model.Methods A retrospective analysis was conducted on the clinical data of 262 patients who un-derwent the nasal endoscopic surgery from January 2021 to May 2023.The patients were divided into two groups according to perioperative blood transfusion or not:non-transfusion group and transfusion group.Uni-variate and multivariate logistic regression were conducted to identify independentrisk factors of perioperative blood transfusion,and a nomogram prediction model was developed.The receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated.Results The incidence of blood transfusion in patients with recurrent nasopharyngeal carcinoma undergoing nasal endoscopic surgery was 46(17.6％).Multivariate logistic regression analysis revealed that preoperative hemoglobin level 70 to＜100 g/L(OR=6.178,95％CI 2.271-16.805,P＜0.001),preoperative albumin level 25 to＜35 g/L(OR=2.126,95％CI 1.021-4.424,P=0.044),and classification of surgery grade Ⅲ or Ⅳ (OR=4.725,95％CI 1.634-13.584,P=0.004)were independent risk factors for predicting perioper-ative blood transfusion in patients with recurrent nasopharyngeal carcinoma undergoing nasal endoscopic sur-gery.The AUC of the nomogram model was 0.769(95％CI 0.701-0.838),the sensitivity was 67.6％,and the specificity was 76.1％.Conclusion Preoperative hemoglobin level 70 to＜100 g/L,preoperative albumin level 25 to＜35 g/L,and classification of surgery grade Ⅲ or Ⅳ are independent risk factors of perioperative blood transfusion in patients with recurrent nasopharyngeal carcinoma undergoing nasal endo-scopic surgery.The nomogram model established based on the above risk factors has good predictive ability for perioperative blood transfusion.

BACKGROUND:Kidney deficiency is the main pathogenesis of osteoporosis.To study the relationship between the two major syndrome types of kidney deficiency,Kidney-Yang deficiency and Kidney-Yin deficiency,is beneficial for the development of clinical diagnosis and treatments based on the combination of disease and syndrome. OBJECTIVE:To evaluate the biomechanical differences of the rat femurs with Kidney-Yang deficiency and Kidney-Yin deficiency caused by Yougui pills,and to demonstrate the scientific efficacy of medication based on the combination of disease and syndrome in osteoporosis from a biomechanical perspective. METHODS:The bilateral ovaries of 60 female Sprague-Dawley rats were surgically removed to establish an ovariectomized osteoporosis model.At 10 weeks after modeling,all the rats were randomly divided into a Kidney-Yang deficiency group(n=30)and a Kidney-Yin deficiency group(n=30).Rats with Kidney-Yang deficiency were given gluteal intramuscular injection of hydrocortisone,while rats with Kidney-Yin deficiency were orally administered with thyroid tablet suspension,once a day,for 14 consecutive days.After successful modeling,20 rats in each group were given a suspension of Yougui pills by gavage once a day for 12 consecutive weeks and the remaining 10 rats were used as the control group without intervention.After gavage,the microstructural parameters of the bone were measured using Micro-CT scanning.Three-point bending,finite element simulation,femoral head compression,and surface indentation distribution experiments of the femurs were performed on a mechanical testing machine. RESULTS AND CONCLUSION:Micro-CT revealed that the femoral bone density,bone volume fraction,bone surface density,trabecular number,and trabecular separation were improved in the Kidney-Yin deficiency+Yougui pills group compared with the Kidney-Yin deficiency group(P＜0.05);the femoral bone volume fraction,bone surface density,trabecular number,and trabecular thickness were improved in the Kidney-Yang deficiency+Yougui pills group compared with the Kidney-Yang deficiency group(P＜0.05).The three-point bending experiment showed that the femur elastic modulus,maximum bending strength and bending fracture strength were decreased(P＜0.05)and toughness was increased(P＜0.05)in the Kidney-Yang deficiency+Yougui pills group compared with the Kidney-Yang deficiency group.Finite element simulation showed that Yougui pills could significantly improve the bending resistance of the femurs in the Kidney-Yang deficiency group,but had no significant effect on the Kidney-Yin deficiency group.The femoral head compression experiments showed that Yougui pills could enhance the ability of the femoral head to resist deformation in the Kidney-Yang deficiency group,but there was no significant difference in the effect of Yougui pills on the surface properties of the femoral head in the Kidney-Yin deficiency group and the Kidney-Yang deficiency group.To conclude,Yougui pills can significantly enhance the biomechanical properties of the osteoporotic bones with Kidney-Yang deficiency,but have no significant effect on the osteoporotic bone with Kidney-Yin deficiency.

Traumatic cerebrospinal fluid leakage commonly presents in traumatic brain injury patients, and it may lead to complications such as meningitis, ventriculitis, brain abscess, subdural hematoma or tension pneumocephalus. When misdiagnosed or inappropriately treated, traumatic cerebrospinal fluid leakage may result in severe complications and may be life-threatening. Some traumatic cerebrospinal fluid leakage has concealed manifestations and is prone to misdiagnosis. Due to different sites and mechanisms of trauma and degree of cerebrospinal fluid leak, treatments for traumatic cerebrospinal fluid leakage varies greatly. Hence, the Craniocerebral Trauma Professional Group of Neurosurgery Branch of Chinese Medical Association and the Neurological Injury Professional Group of Trauma Branch of Chinese Medical Association organized relevant experts to formulate the " Chinese expert consensus on the diagnosis and treatment of traumatic cerebrospinal fluid leakage in adults ( version 2023)" based on existing clinical evidence and experience. The consensus consisted of 16 recommendations, covering the leakage diagnosis, localization, treatments, and intracranial infection prevention, so as to standardize the diagnosis and treatment of traumatic cerebrospinal fluid leakage and improve the overall prognosis of the patients.

Objective:To compare the efficacy and safety of Tonghua Dongbao′s insulin aspart injection (Rishulin) and NovoRapid (Novo Nordisk) in the treatment of diabetes.Methods:A 26-week, randomized, open-label, parallel-group, positive control drug and non-inferiority trial was conducted in 23 centers in China. A total of 563 diabetes with poor blood glucose control treated with insulin for at least 3 months before were included. The subjects were randomized(stratified block random method) into those receiving Rishulin or NovoRapid at a ratio of 3∶1. Both groups were combined with basal insulin (Lantus). The primary endpoint was the change in glycosylated hemoglobin (HbA1c) from baseline to the end of 24 weeks of treatment.Results:For full analysis set, after 24 weeks of treatment, HbA1c level of Ruishulin group decreased from (8.66±1.28)% to (7.77±1.09)% ( P<0.001), and that of NovoRapid group decreased from (8.47±1.28) % to (7.65±0.97) % ( P<0.001). Treatment difference in HbA1c (NovoRapid group-Ruishulin group) was -0.061% (95% CI -0.320-0.199). HbA1c<7.0% target reacing rates were 24.26% and 21.21% ( P=0.456), and HbA1c<6.5% target reacing rates were 9.65% and 6.82% ( P=0.310) in Ruishulin group and NovoRapid group, repectively. The standard 2 hours postprandial blood glucose (2hPG) in Ruishulin group decreased from (16.23±5.22) mmol/L to (12.65±4.57) mmol/L ( P<0.001), and 2hPG in NovoRapid group decreased from (16.13±5.37) mmol/L to (11.91)±4.21) mmol/L ( P<0.001). The fingertips blood glucose at 7-point of both groups exhibited varying degrees of reduction compared with those at baseline, repectively. Positive ratios of specific antibodies were 31.68% in Ruishulin group and 36.36% in NovoRapid group ( P=0.320). Ratios of negative to positive were 7.43% and 10.61% ( P=0.360), and ratios of positive to negative were 10.40% and 7.58% ( P=0.360) in Ruishulin group and NovoRapid group, respectively. The incidence of hypoglycemia was 60.05% and 55.40% ( P=0.371), and the incidence of adverse events was 76.60% and 77.70% ( P=0.818) in Ruishulin group and NovoRapid group, respectively. Conclusions:Rishulin is not inferior to NovoRapid, and has shown good efficacy and safety. It can be an ideal choice for clinicians in patients with poor blood glucose control with insulin.

To explore the clinical effect of ganglioside sodium in the treatment of acute cerebral infarction and its influ-ence on hs-CRP and TNF-α in serum. Methods:A total of 216 patients with acute cerebral infarction were randomly divided into the observation group and the control group. The control group (108 cases) was given regular treatment, and the observation group (108 cases) was given 100 mg ganglioside in 250 ml 0. 9% sodium chloride, ivd, qd additionally, and the treatment course was 14d. The clinical effect of the two groups was compared, and the change of hs-CRP and TNF-αin serum was also researched in both groups. Re-sults:The total effective rate of the observation group was 90. 7%, which was obviously higher than that of the control group (71. 3%, P<0. 05). After the treatment, the NDS score of the observation group was lower than that before the treatment, while the ADL score was higher than that before the treatment (P<0. 05). After the treatment, the level of hs-CRP and TNF-α in serum was higher than that before the treatment in the two groups (P<0. 05), and that in the observation group was higher than that in the control group (P<0. 05). During the treatment, no adverse reaction was shown in the two groups. Conclusion:The clinical effect of ganglioside sodi-um in the treatment of acute cerebral infarction is promising, which can reduce the level of hs-CRP and TNF-αin serum of the patients and improve the scores of NDS and ADL with good safety, and is worthy of further clinical application.