As a type of acute cerebrovascular disease,stroke is one of the most common fatal and disabling diseases in the world,which seriously threatens the quality of life of patients;however,there are still limited treatment methods for this disease in clinical practice.Traditional Chinese medicine(TCM)has a long history and good efficacy in the treatment of stroke,and the active components of TCM can alleviate nerve injury caused by stroke by improving the development and progression of various pathophysiological mechanisms such as nerve inflammation,oxidative stress,and blood-brain barrier damage.This article reviews the role of active components of TCM in the treatment of ischemic stroke,in order to provide more ideas and options for the clinical treatment of this disease in the future.

Objective To investigate the effect of field angle on the results of in vivo dose validation of electronic portal imaging device(EPID)in patients.Methods Design the mold test and analyze the influence of different mold thicknesses and different frame angles on the 2D γ pass rate.Twenty-three patients who un-derwent radiotherapy in the Department of Radiotherapy of Jinhua Municipal Central Hospital from January to June 2023 were selected as the research object.In vivo dose verification was carried out during treatment to obtain 2D γ pass rate using same-day sector beam CT(FBCT)of planned CT and executive image guided(IG-RT)as reference images,and the influence of field angle on pass rate was analyzed.Results When the frame angle was unchanged,the area of the shooting field was larger than 17 cm×17 cm,and the 2D γ passing rate decreased with the increase of the thickness.The frame angle had no effect on the 2D γ pass rate when the mold thickness was constant.In clinical treatment data,the passage rate of 2D γ near 0°/180° was higher than that near 90°/270°(P＜0.05),and the passage rate near 90°/270° in the FBCT group was higher than that in the IGRT group(P＜0.05).The median passing rate of 3 mm 2D γ was 97.97％in 3％of the 23 patients.The non-IGRT group was 96.81％,the IGRT group was 97.89％,the FBCT group was 98.94％.There was a statistically significant difference in 2D γ passing rate between the non-IGRT group and the IGRT group(Z=-5.083,P＜0.05),and there was a statistically significant difference in 2D γ passing rate between the IGRT group and the FBCT group(Z=-10.657,P＜0.05).Conclusion Clinically,the difference of pass rate in vi-vo dose verification at different rack angles is mainly due to the difference of images within and between ses-sions.Using same-day FBCT as the reference image for in-vivo dose verification can improve the accuracy of pass rate and eliminate the influence of image difference between sessions.

Objective To compare the synergies between the transcutaneous needle electrodes and the ETT surface electrodes used for neurological surveillance in thyroidology,and explore how to identify and protect recurrent laryngeal nerve and vagus nerve when the patient is not suitable for oral plug or surface electrodes are failure.Methods To collect and analyze the clinical data of 32 patients undergoing surgical treatment for thyroid disease,a total of 40 neurons of the recurrent laryngeal nerves and vagus nerves were monitored,and the amplitude and latency were recorded using ETT surface electrodes and transcutaneous needle electrodes for nerve monitoring,respectively.SPSS 26.0 software was used for statistical analysis,paired t-tests were used to analyze and compare the latency periods,and the rank sum test was used to analyze whether there is a difference in the amplitude obtained from stimulation of transcutaneous needle electrodes and ETT surface electrodes.Results When the transcutaneous needle electrodes were used in thyroid surgery,we identified all the nerves,obtained two-phase electrical signals similar to the latency and amplitude of the ETT surface electrodes,and could effectively identify the recurrent laryngeal nerve and vagus nerve[(3.22±0.50)ms vs.(3.85±1.00)ms,P＜0.05]through the incapacity period,with no obvious difference in the monitoring effect from the ETT surface electrodes[(3.04±0.58)ms vs.(3.89±1.07)ms,P＜0.05].At the same time,the visualization and safety of transcutaneous needle electrodes were higher,with great advantages.Conclusion Transcutaneous needle electrodes can effectively assist in identifying and protecting the recurrent laryngeal nerve and vagus nerve,and thus are an important supplement to ETT surface electrodes.

ObjectiveTo explore the effects of Bushen Jianpi prescription on the autophagy and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） signaling pathway in the patients with aplastic anemia （AA）. MethodA total of 30 AA patients admitted to Xiyuan Hospital and 6 healthy donors who were prepared to undergo peripheral blood hematopoietic stem cell transplantation in 304 Hospital from September 2020 to August 2021 were enrolled and assigned into an AA group and a control group. The AA group was treated with Bushen Jianpi prescription combined with cyclosporin A （CsA） and androgen for 3 months. The mononuclear cells from bone marrow in the AA group before and after treatment and the peripheral blood of the control group were collected. Transmission electron microscopy was then employed to detect autophagosomes. Western blotting was employed to determine the protein levels of microtuble-associated protein 1 light chain 3 （LC3）Ⅰ， LC3Ⅱ， mTOR， phosphorylated （p）-mTOR， Akt， p-Akt， PI3K， and p-PI3K， and real-time polymerase chain reaction （PCR） to determine the mRNA levels of LC3， mTOR， Akt， and PI3K. ResultIn the AA group， the treatment was completed in 29 patients， and the total response rate was 51.72% （15/29）. ① The AA group showed lower levels of white blood cell （WBC）， hemoglobin （HGB）， platelet （PLT）， and absolute neutrophil count （ANC） in the peripheral blood （P<0.01） and lower number of intracellular autophagosomes than the control group before treatment. Moreover， the AA group showed lower mRNA level of LC3 （P<0.01） and protein levels of LC3Ⅰ and LC3Ⅱ （P<0.01） and higher mRNA levels of mTOR， Akt， and PI3Kα （P<0.01） and protein levels of Akt， p-Akt， PI3K， p-PI3K， mTOR， and p-mTOR （P<0.01） than the control group. ② In AA group， the levels of HGB and PLT elevated （P<0.05） and the number of intracellular autophagosomes increased after treatment compared with those before treatment. Moreover， the mRNA level of LC3 and the protein levels of LC3Ⅰ and LC3Ⅱ were up-regulated （P<0.01）， the mRNA levels of mTOR， Akt， and PI3Kα （P<0.01） and the protein levels of Akt， p-PI3K （P<0.01）， p-Akt， PI3K， mTOR， p-mTOR （P<0.05） were down-regulated after treatment. ConclusionAA patients show lower autophagy levels， while Bushen Jianpi prescription can effectively improve the autophagy level and down-regulated the expression of PI3K/Akt/mTOR signaling pathway in AA patients.

Objective To compare the clinical efficacy of a new low notch plate system(Carmen synchronous adaptive cervical fusion system)and Zero-p in the treatment of single level cervical spondylotic radiculopathy(CSR).Methods Retrospective analysis was made on 48 patients with single level cervical spondylosis of nerve root type admitted from January 2015 to January 2020,including 26 patients with new low notch steel plate system(observation group)and 22 patients with Zero-P(control group).The operation duration,intraoperative blood loss,incidence of postoperative dysphagia,preoperative and postoperative JOA scores,cervical dysfunction index(NDI)Visual analog score of pain(VAS)and Cobb angle and intervertebral space height of postoperative imaging.Results There was no significant difference between the two groups in terms of operation time,intraoperative blood loss and the incidence of postoperative dysphagia(P＞0.05).All patients were followed up for 12-15 months,with an average of(12.6±0.7)months.There was no significant difference in JOA score,NDI index and VAS score of pain between the two groups before and 3 and 12 months after operation(P＞0.05).Conclusion The clinical efficacy of the new low notch plate system in the treatment of single segment cervical spondylotic radiculopathy is equivalent to Zero-P,and it is a reliable new type of anterior cervical internal fixation system.

Objective:To investigate the application value of machine learning algorithms for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 277 patients with HCC who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University between May 2015 and December 2018 were collected. There were 235 males and 42 females, aged (56±10)years, with a range from 33 to 80 years. Patients underwent preoperative magnetic resonance imaging examination. According to the random numbers showed in the computer, all the 277 HCC patients were divided into training dataset consisting of 193 and validation dataset consisting of 84, with a ratio of 7∶3. Machine learning algorithms, including logistic regression nomogram, support vector machine (SVM), random forest (RF), artificial neutral network (ANN) and light gradient boosting machine (LightGBM), were used to develop models for preoperative prediction of MVI. Observation indicators: (1) analysis of clinicopathological data of patients in the training dataset and validation dataset; (2) analysis of risk factors for tumor MVI of the training dataset; (3) construction of machine learning algorithm prediction models and comparison of their accuracy of preoperative tumor MVI prediction. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the paired t test. Count data were described as absolute numbers, and comparison between groups was analyzed using the chi-square test. Univariate and multivariate analyses were performed using the Logistic regression model. Results:(1) Analysis of clinicopathological data of patients in the training dataset and validation dataset: there were 157 males and 36 females in the training dataset, 78 males and 6 females in the validation dataset, showing a significant difference in the sex between the training dataset and validation dataset ( χ2=6.028, P<0.05). (2) Analysis of risk factors for tumor MVI of the training dataset: of the 193 patients, 108 had positive MVI, and 85 had negative MVI. Results of univariate analysis showed that age, the number of tumors, tumor diameter, satellite lesions, tumor margin, alpha fetaprotein (AFP), alkaline phosphatase (ALP), fibrinogen were related factors for tumor MVI [ odds ratio ( OR)=0.971, 2.449, 1.368, 4.050, 2.956, 4.083, 2.532, 1.996, 95% confidence interval ( CI): 0.943-1.000, 1.169-5.130, 1.180-1.585, 1.316-12.465, 1.310-6.670, 2.214-7.532, 1.016-6.311, 1.323-3.012, P<0.05]. Results of multivariate analysis showed that AFP>20 μg/L, multiple tumors, larger tumor diameter, unsmooth tumor margin were independent risk factors for tumor MVI ( OR=3.680, 3.100, 1.438, 3.628, 95% CI: 1.842-7.351, 1.334-7.203, 1.201-1.721, 1.438-9.150, P<0.05). Larger age was associated with lower risk of preoperative tumor MVI ( OR=0.958, 95% CI: 0.923-0.994, P<0.05). (3) Construction of machine learning algorithm prediction models and comparison of their accuracy of preoperative tumor MVI prediction: ①machine learning algorithm prediction models involving logistic regression nomogram, SVM, RF, ANN and LightGBM were constructed based on results of multivariate analysis including age, AFP, the number of tumors, tumor diameter, tumor margin, and consistency analysis of the logistic regression nomogram prediction model showed a good stability. For the training dataset and validation dataset, the area under curve (AUC) of logistic regression nomogram model, SVM model, RF model, ANN model, LightGBM model was 0.812, 0.794, 0.807, 0.814, 0.810 and 0.784, 0.793, 0.783, 0.803, 0.815, respectively, showing no significant difference between SVM model and logistic regression nomogram model, between RF model and logistic regression nomogram model, between ANN model and logistic regression nomogram model, between LightGBM model and logistic regression nomogram model [(95% CI: 0.731-0.849, 0.744-0.860, 0.752-0.867, 0.747-0.862, Z=0.995, 0.245, 0.130, 0.102, P>0.05) and (95% CI: 0.690-0.873, 0.679-0.865, 0.702-0.882, 0.715-0.891, Z=0.325, 0.026, 0.744, 0.803, P>0.05)]. ② Clinicopathological factors were selected using RF, LightGBM machine learning algorithm to construct corresponding prediction models. According to importance scale of factors to prediction models, factors with importance scale>0.01 were selected to construct RF model, including age, tumor diameter, AFP, white blood cell, platelet, total bilirubin, aspartate transaminase, γ-glutamyl transpeptidase, ALP, and fibrinogen. Factors with importance scale>5.0 were selected to construct LightGBM model, including age, tumor diameter, AFP, white blood cell, ALP, and fibrinogen. Due to lack of factor selection ability, factors based on results of univariate analysis were secected to construct SVM model and ANN model, including age, the number of tumors, tumor diameter, satellite lesions, tumor margin, AFP, ALP, and fibrinogen. For the training dataset and validation dataset, the AUC of SVM model, RF model, ANN model, LightGBM model was 0.803, 0.838, 0.793, 0.847 and 0.810, 0.802, 0.802, 0.836, respectively, showing no significant difference between SVM model and logistic regression nomogram model, between RF model and logistic regression nomogram model, between ANN model and logistic regression nomogram model, between LightGBM model and logistic regression nomogram model [(95% CI: 0.740-0.857, 0.779-0.887, 0.729-0.848, 0.789-0.895, Z=0.421, 0.119, 0.689, 1.517, P>0.05) and (95% CI: 0.710-0.888, 0.700-0.881, 0.701-0.881, 0.740-0.908, Z=0.856, 0.458, 0.532, 1.306, P>0.05)]. Conclusion:Machine learning algorithms can predict MVI of HCC preoperatively, but its application value needs to be further verified by large sample data from multi centers.

Objective:To investigate the clinical features, imaging findings and prognosis of children with overlapping syndrome of myelin oligodendrocyte glycoprotein (MOG) antibody disease and anti-N-methyl-D aspartate receptor (NMDAR) encephalitis (MNOS).Methods:The clinical manifestations, immunological antibodies in blood and cerebrospinal fluid, cranial image, treatment and follow-up of 11 patients diagnosed as MNOS in the Department of Neurology, Beijing Children′s Hospital from January 2011 to April 2019 were analyzed retrospectively.Results:A total of 11 patients, including 4 males and 7 females were analyzed, the age of onset was (10.4±2.3) years. A total of 29 episodes occurred in 11 children. At the last follow-up, 8 cases showed relapsed remission course, the interval of recurrence was 3 to 60 months. The onset symptoms of 11 patients included convulsions (10 cases), lethargy (6 cases), psychosis (6 cases). Among 29 episodes, the common symptoms were convulsions (16 episodes), psychosis (13 episodes),and lethargy (10 episodes). According to the diagnostic criteria of anti-NMDAR encephalitis and MOG-antibody disease, 29 episodes were divided into three phenotypes, including anti-NMDAR encephalitis(4 episodes), MOG-antibody diseases (10 episodes) and overlapping types (15 episodes).Twenty-seven times of acute stage cranial magnetic resonance imaging (MRI) were available, common lesions included cortical focus (22 times), subcortical white matter (7 times), brainstem (9 times). All patients were sensitive to first-line immunotherapy. Eight patients had recurrence during glucocorticoid reduction, 6 of them were treated with additional second-line immunosuppressive therapy, including cyclophosphamide (1 case) and mycophenolate mofetil (5 cases). The follow-up time of patients were 5-99 months. At the last follow-up, all patients were in remission, the pediatric cerebral performance category (PCPC) score was 1 (10 cases) and 2 (1 cases).Conclusions:MNOS mainly affects older children. In the period of acute episodes, convulsions and psychosis are common. The cranial MRI showed extensive brain involvement and mainly in the cortex. The recurrence rates of MNOS are relatively high, patients are sensitive to first-line immunotherapy. No significant neurological dysfunction was left in the remission stage.

Objective: To describe the clinical manifestations of central nerve system inflammatory demyelinating disease associated with anti-myelin oligodendrocyte glycoprotein antibody (MOG-IDD) in children, and to explore the clinical characteristics of the children. Methods: The clinical and laboratory characteristics of the patients diagnosed in Beijing Children′s Hospital, Capital Medical University, from October 2016 to August 2018 were described, and the clinical data of the patients with unipolar and recurrent diseases were compared. Results: A total of 50 patients were included, among whom the ratio of male to female was 24:26, and the average age of onset was (6.7±3.1) years old (0.4-12.6 years old). There was no significant difference in the age of onset between boys and girls(t=0.712, P=0.480). The main symptoms included fever (31/50 cases), encephalopathy (26/50 cases) and optic neuritis (22/50 cases), etc.In the last follow-up, 26 patients (52.0%) had a monophasic course and 24 patients (48.0%) had a recurrent course.There were age differences in encephalopathy and ataxia in the first episode of [(5.7±2.8) years old vs.(8.1±3.0) years old, (5.0±2.5) years old vs. (7.7±3.0) years old](t=2.746, P=0.009; t=2.837, P=0.007). The average number of recurrence was (2.1±1.4) times (1-7 times), in which 17 cases (70.8%) of recurrence presented within 12 months and 20 cases (83.3%) of recurrence presented within 24 months after onset.Convulsion incidences of recurrent cases were 10 cases and 13 cases respectively in the first episode and recurrent courses, which were significantly higher than those of monophasic cases (4 cases, 4 cases)(χ²=7.912, P=0.005; χ²=8.365, P=0.004). All patients were sensitive to first-line immunotherapy.Seven patients with recu-rrence were treated with mycophenolatemofetil, and 17 patients with repeated first-line therapy.In the last follow-up, all patients were in remission and 2 patients had mild neurological dysfunction. Conclusions MOG-IDD can occur in childhood.Encephalopathy and optic neuritis are the most common symptoms.Encephalopathy and ataxia are more common in young children.Convulsions may indicate the course of recurrence.

Objective To investigate the main risk factors of respiratory complications in patients with cervical spinal cord injury so as to provide reference for early nursing assessment and personalized nursing intervention model. Methods A retrospective case series study was conducted on the clinical data of 303 patients with cervical spinal cord injury admitted to the Third Hospital of Hebei Medical University between January 2015 and September 2016. There were 248 males and 55 females, aged (44.9 ±13.8)years (range, 14-70 years). There were 109 cases at fracture site C14 and 194 cases at C5-8. According to ASIA classification, 131 cases were grade A, 26 cases grade B, 42 cases grade C, and 104 cases grade D. The duration from injury to operation was (23.2 ± 69.9) hours (range, 6-48 hours). Univariate analysis was performed on the risk factors of respiratory complications, including gender, age (14-54, 55-65, and 66-70 years old), occupation, hospital stay, smoking history, previous history, ASIA grade (grades A to D), injury cause, complications (abdominal distension, hyponatremia, hypoproteinemia, and anemia). Multivariate logistic regression was used to analyze the significant risk factors in the univariate analysis so as to further identify risk factors associated with respiratory complications. Results Univariate analysis showed that age (55-65 and 66-70 years), ASIA grade A, ASIA grade B, smoking history, injury cause, complications (abdominal distension, hyponatremia, hypoproteinemia, and anaemia) were related to respiratory complication of patients with cervical spinal cord injury (P ＜0.05). The gender, occupation, length of hospital stay, and previous history were not associated with respiratory complications of patients with cervical spinal cord injury (P＞0.05). Logistic regression analysis showed that age between 55 and 65 years (OR = 3.989, P ＜ 0.05), age between 66 and 70 years(OR =0.301, P＜0.05), AISA grade A (OR=30.300, P＜0.05), ASIA grade B (OR =5.784, P ＜0.05), smoking history (OR=5.238, P ＜0.05), abdominal distension (OR = 1.975, P＜0.05), hypoproteinemia (OR =6.212, P ＜ 0.05), and hyponatremia (OR =3.233 ＜0.05) were independent risk factors for respiratory complications in patients with spinal cord injury. Except for ASIA classification, other factors might be easily ignored by doctors and nurses, leading to poor prognosis of patients. Conclusions Age (above 55 years), ASIA grades A and B, smoking history, abdominal distention, hypoproteinemia, and hyponatremia are the risk factors of respiratory complications in patients with cervical spinal cord injury. Based on the results, early nursing assessment can be carried out and personalized nursing measures can be taken to reduce the incidence of respiratory complications. It can also provide reference for constructing standardized nursing intervention model.

To facilitate noninvasive diagnosis of anemia, high-performance and portable near infrared (NIR) spectrometer for human blood constituents was designed and fabricated based on linear variable filter (LVF).Meanwhile, the performance of support vector regression (SVR) model for quantitative analysis of human hemoglobin (Hb) was investigated.Spectral data were collected noninvasively from 100 volunteers by self-designed LVF-NIR spectrometer, then divided into calibration set, validation set 1 and 2.To establish a robust SVR model, grid search method was applied to optimize the penalty parameter and kernel function parameter c=5.28, g=0.33.Then, Hb levels in the validation 1 and 2 sets were quantitatively analyzed.The results showed that the root mean square error of prediction (RMSEP) were 10.20 g/L and 10.85 g/L, respectively, and the relative RMSEP (R-RMSEP) were 6.85% and 7.48%, respectively.The results indicated that the SVR model had high prediction accuracy to Hb level and adaptability to different samples, and could satisfy the requirements of clinical measurement.Based on the SVR algorithm, the self-designed LVF-NIR spectrometer has a wide application prospect in the field of non-invasive anemia diagnosis.