ObjectiveTo investigate the clinical features of patients with acute-on-chronic liver failure （ACLF） and bacterial infection and early warning indicators associated with multidrug-resistant infections. MethodsA retrospective analysis was performed for 130 patients with ACLF and bacterial infection who attended The Second Affiliated Hospital of Air Force Medical University from January 1， 2010 to December 31， 2021， and according to the drug susceptibility results， the patients were divided into multidrug-resistant （MDR） bacterial infection group with 80 patients and non-MDR bacterial infection group with 50 patients. General information and laboratory examination results were compared between the two groups to screen for the early warning indicators associated with MDR bacterial infection. The Student’s t-test was used for comparison of normally distributed continuous data with homogeneity of variance between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data or continuous data with heterogeneity of variance between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The binary logistic regression analysis and the receiver operating characteristic （ROC） curve were used to assess the predictive value of early warning indicators. ResultsAmong the 130 patients with ACLF and bacterial infection， sputum （27.7%） was the most common specimen for detection， followed by blood （24.6%）， urine （18.5%）， and ascites （17.7%）. Bacterial infections were dominated by Gram-negative bacteria （58.5%）. Of all bacteria， Escherichia coli （18.5%）， Klebsiella pneumoniae （14.6%）， and Enterococcus faecium （13.8%） were the most common pathogens. Gram-positive bacteria had a high resistance rate to the antibacterial drugs such as erythromycin （72.2%）， penicillin （57.4%）， ampicillin （55.6%）， and ciprofloxacin （53.7%）， while Gram-negative bacteria had a high resistance rate to the antibacterial drugs such as ampicillin （73.3%）， cefazolin （50.0%）， and cefepime （47.4%）. The patients with ACLF and bacterial infection had a relatively high rate of MDR bacterial infection （61.5%）. Comparison of clinical data between the two groups showed that compared with the patients with non-MDR bacterial infection， the patients with MDR bacterial infection had significantly higher levels of alanine aminotransferase （Z=2.089， P=0.037）， aspartate aminotransferase （Z=2.063， P=0.039）， white blood cell count （Z=2.207， P=0.027）， and monocyte count （Z=4.413， P<0.001）. The binary logistic regression analysis showed that monocyte count was an independent risk factor for MDR bacterial infection （odds ratio=7.120， 95% confidence interval ［CI］： 2.478‍ ‍—‍ ‍20.456，P<0.001） and had an area under the ROC curve of 0.686 （95%CI： 0.597‍ ‍—‍ ‍0.776） in predicting ACLF with MDR bacterial infection（P<0.001）， with the optimal cut-off value of 0.50×10⁹/L， a sensitivity of 0.725， and a specificity of 0.400. ConclusionACLF combined with bacterial infections is mainly caused by Gram-negative bacteria， with the common pathogens of Escherichia coli and Klebsiella pneumoniae and a relatively high MDR rate in clinical practice. An increase in monocyte count can be used as an early warning indicator to distinguish MDR bacterial infection from non-MDR bacterial infection.

Objective To construct and validate a clinical prediction model for delayed extubation undergoing non-emergency major surgery based on the random forest algorithm.Methods Clinical data of 7 528 patients undergoing non-emergency major surgery under general anesthesia from January 2018 to De-cember 2022 were retrospectively collected.The patients were divided into two groups according to whether extubation was performed within 2 hours after surgery:non-delayed extubation group(≤2 hours)and de-layed extubation group(＞2 hours).All the patients were randomly divided into a training set and a valida-tion set in a ratio of 7 ∶ 3.The predictive factors for delayed extubation after surgery were screened through LASSO regression and Logistic regression.The random forest model was established and verified by random forest algorithm.Results There were 123 patients(1.6%)experienced delayed extubation after surgery.ASA physical status,department,intraoperative use of flurbiprofen ester,dexmedetomidine,glucocorticoid,hypocalcemia,severe anemia,intraoperative blood transfusion,and airway spasm were identified as inde-pendent predictive factors for delayed extubation.The area under curve(AUC)value of the random forest prediction model in the validation set was0.751(95%CI0.742-0.778),and the sensitivity was98.1%,and the specificity was 41.9%.Conclusion The predictive model of delayed extubation undergoing non-e-mergency major surgery based on random forest algorithm has a good predictive value,which may be helpful to prevent delayed extubation undergoing non-emergency major surgery.

Objective To investigate the feasibility of energy spectrum CT material separation technology for quantitative evaluation of nonalcoholic fatty liver patients,to compare the accuracy of this method with the conventional liver/spleen CT ratio for grading liver fat content.Methods Sixty patients diagnosed with nonalcoholic fatty liver and 20 healthy volunteers were chosen to undergo liver MR multi-echo(ME)Dixon and energy spectrum CT scans.The proton density fat fraction(PDFF),fat concentration(FC),and liver/spleen CT ratio were then measured for each participant.According to PDFF,nonalcoholic fatty liver patients were divided into mild fatty liver group,moderate fatty liver group,and severe fatty liver group.Results With the increase in PDFF,FC increased and the liver/spleen CT ratio decreased.The difference between FC groups in normal,mild,moderate and severe fatty liver groups was statistically significant(P<0.05),while the difference between the liver/spleen CT ratio of normal group and mild fatty liver group was not statistically significant(P>0.05).The receiver operating characteristic(ROC)curve analysis showed that when the critical value of FC was 351.19 mg/mL,the sensitivity,specificity and area under the curve for normal group and fatty liver group were 0.95,0.1 and 0.99,respectively.Conclusion The energy spectrum CT material separation technology has a good correlation between the fat content measured by the MR ME Dixon,which is superior to the fat content measured by the liver/spleen CT ratio.For patients with nonalcoholic fatty liver,FC in energy spectrum CT has high accuracy in differentiating normal and mild fatty liver.

Objective:To investigate the expression of nuclear matrix protein 4 (NMP4) in hepatocellular carcinoma (HCC), and its relationship with clinicopathological features and survival prognosis of patients.Methods:The clinical data of 100 HCC patients who were treated with radical resection of liver cancer in the Department of Hepatobiliary Surgery of the Third Affiliated Hospital of Wenzhou Medical University from July 1, 2014 to July 1, 2019 were retrospectively analyzed. There were 63 males and 37 females, aged (58.5±10.4) years old. Immunohistochemical method was used to detect the expression of NMP4 protein in HCC cancer tissue and the corresponding adjacent normal tissue. According to the expression of NMP4 in HCC tissues, 100 patients were divided into two groups: the NMP4-positive expression group ( n=62) and the NMP4-negative expression group ( n=32). Univariate analysis was performed on the relationship between NMP4 expression and clinical pathological features as well as overall survival of HCC patients. Cox multivariate analysis was performed on the factors influencing postoperative prognosis of HCC patients. Results:Immunohistochemistry results showed that NMP4 was primarily expressed in the nucleus, the positive expression rate of NMP4 in HCC tissues was higher than that in adjacent non-cancerous tissues [62.0% (62/100) vs. 8.0%(8/100)], and the difference was statistically significant ( χ2=2.12, P=0.003). Univariate analysis revealed that the overall survival of HCC patients was correlated with the degree of tumor differentiation, tumor length, BCLC stage, number of tumor foci, vascular tumor thrombus and expression of NMP4 (all P<0.05). Cox multivariate analysis revealed that low differentiation, high BCLC stage (stage C), number of tumor foci (≥3), and positive expression of NMP4 were independent risk factors affecting postoperative survival and recurrence-free survival of HCC patients. The median overall survival and median recurrence-free survival of HCC patients in the NMP4-positive expression group were 22.3 months and 11.5 months, respectively. In contrast, that in the NMP4-negative expression group were 40.6 months and 19.4 months, respectively. The cumulative survival rate and recurrence-free survival rate of HCC patients in the NMP4-positive expression group were lower than those in the NMP4-negative expression group, and the differences were statistically significant (both P<0.05). Conclusion:Positive NMP4 expression was closely correlated with malignant biological progression and poor prognosis of HCC patients.

Objective To explore the effect of sling exercise with Tuina therapy on kinesiophobia in old patients with lumbar disc herniation,and analyze the mechanism based on brain-bone axis. Methods A total of 56 old patients with chronic lumbar disc herniation and kinesiophobia were selected from the Reha-bilitation Hospital of the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine from September,2022 to December,2023;and randomly divided into control group(n=28)and experimental group(n=28).The control group accepted conventional exercise therapy,while the experimental group accepted sling exercise with Tuina therapy,for four weeks.They were assessed with simplified Chinese version of Tampa Scale of Kinesiophobia(TSK),Japanese Orthopaedic Association score(JOA)and Visual Analogue Scale for pain(VAS)before and after treatment,while the bone mineral density(BMD)was tested,the levels of osteoprote-gerin(OPG),norepinephrine(NE)and corticosteroids(Cor)in serum were measured,and the median frequency(MF)of weak-link erector spinae was detected with surface electromyography. Results Two cases dropped off in the control group,and one in the experimental group.The scores of all the assessment improved in both groups after treatment(|t|>14.168,P<0.001),as well as the serum levels of OPG,NE and Cor(|t|>2.103,P<0.05),BMD(|t|>2.726,P<0.05),and MF of erector spinae(|t|>14.736,P<0.001);all of them were better in the experimental group than in the control group(|t|>2.154,P<0.05). Conclusion Sling exercise with Tuina therapy can improve the pain and kinesiophobia of lumbar disc herniation in the old adults,which may promote the recovery of physical and mental function through regulating the levels of hor-mones and neurotransmitters related to the brain-bone axis.

Objective To analyze the risk of return to sport in athletes using their gait data following anterior cruciate ligament re-construction(ACLR). Methods From May to June,2023,39 athletes after ACLR were recruited in Wuhan Sports University.Their data on sta-ble gait and tandem gait were recorded using a three-dimensional motion capture system,surface electromyogra-phy and a three-dimensional ergometer table.Additionally,return-to-sport scores were calculated using the K-STARTS test.The relationship between each gait indicator and the total score of the K-STARTS test was ana-lyzed with Pearson correlation analysis.Furthermore,the key indicators related to the risk of return to sport were analyzed using linear regression. Results In the stable gait test,the step time was negatively correlated with the total score of K-STARTS(r=-0.479,P=0.002),and the peak amplitude symmetry index of rectus femoris(r=0.448,P=0.004)and vastus lateralis(r=0.595,P=0.001)were positively correlated with the total score of K-STARTS.In the tandem gait test,the lateral displacement distance of the center of gravity was negatively correlated with the total score of K-STARTS(r=-0.341,P=0.034),and the time symmetry index of peak amplitude of vastus lateralis was positively correlated with the total score of K-STARTS(r=0.320,P=0.047).Regression analysis showed that the interpretation of the model based on stable gait(F=15.818,P=0.001,R2=0.650)was better than that based on tandem gait(F=7.692,P=0.001,R2=0.397). Conclusion In stable gait,gait rhythm variability and symmetry are correlated with return to sport risk.In tandem gait,gait balance and symmetry indexes are correlated with return-to-sport risk.Compared with tandem gait,the inter-pretation of return-to-sport risk assessment model based on stable gait information is better,and may be more suitable as a simple return-to-sport risk test method.

Objective To explore the clinical application value of deep learning image reconstruction(DLIR)-based technique for radiation dose reduction with different noise index(NI)in CT-guided percutaneous transthoracic needle biopsy(PTNB).Methods Thirty-two patients undergoing PTNB were selected,and three sets of CT images with NI of 15,30,and 45 sequentially were obtained after adjusting the puncture needle using the scanning parameters of a small range(40 mm),tube voltage 100 kV,and automatic tube cur-rent modulation(ATCM).Group A was 50％weight of adaptive statistical iterative reconstruction-Veo(ASIR-V)scanned with NI 15,and group B and C were the DLIR-high reconstructed images with NI 30 and NI 45 respectively.The CT value and standard devia-tion(SD)value of paraspinal muscles,subcutaneous fat,and arterial vessels were measured at the puncture center point and its upper and lower 10 mm sclices,respectively,and the signal-to-noise ratio(SNR)and the contrast-to-noise ratio(CNR)were also calculated.Then the images were subjectively scored by two physicians,meanwhile the effective dose(ED)among the three groups was com-pared.Results According to the subjective evaluation,the image quality of group A,B,and C all met the clinical requirement for puncture.The SD and SNR of the images in group B were better than those in groups A and C.The SD and SNR of paraspinal mus-cles and sudcutaneous fat were significantly different between groups A and B,and between groups B and C(P＜0.05),however those of paraspinal muscles and subcutaneous fat between groups A and C were not significant.The differences in ED among the three groups were all statistically significant(P＜0.05).Compared with group A,the ED in groups B and C were reduced by 82.86％and 93.90％respectively,and the ED in group C was reduced by 64.44％compared with group B.Conclusion Increasing the NI combined with the DLIR technique can significantly reduce the radi-ation dose during CT-guided PTNB.

Objective To investigate the impact of ultra-low dose CT(ULDCT)scanning combined with deep learning image reconstruction(DLIR)on quantitative analysis of pulmonary nodules using computer aided diagnostic system(CAD).Methods Fifty-six further consultation patients with pulmonary nodules were prospectively enrolled.ULDCT and standard-dose CT(SDCT)were performed.The raw ULDCT images were reconstructed using adaptive statistical iterative reconstruction-V40%(ASIR-V40%)and high-strength DLIR(DLIR-H)to obtain ULDCT-ASIR-V40%(group A)and ULDCT-DLIR-H(group B)images,while SDCT images were reconstructed with ASIR-V40%to obtain SDCT-ASIR-V40%(group C)images.Pulmonary nodules with long diameter of 4-30 mm were selected as the target nodules based on reconstructed images.The nodules were divided into solid nodules,calcified nodules and non-solid nodules by 2 physicians.CAD software was used to evaluate the classification of nodules based on 3 groups of images,and the long diameter,transverse diameter,density,volume and malignant risk were quantitatively analyzed.Results Totally 104 target nodules were selected,including 51 solid nodules,26 calcified nodules and 27 non-solid nodules according to physicians.CAD classified 53 solid,24 calcified and 27 non-solid nodules based on group A and B,while based on group C,CAD classification was consistent with that of physicians'.Compared with group C,the density of solid and calcified nodules,the volume and malignant risk of non-solid nodules judged by CAD in group A decreased,so did the density of calcified nodules in group B(all P＜0.05).No significant difference of the other CAD quantitative parameters of nodules was found among 3 groups(all P＞0.05).Conclusion ULDCT scanning combined with DLIR might underestimate the density of calcified pulmonary nodules judged by CAD,but had no significant impact on the other CAD quantitative parameters.

Objective To examine the regulation of malignant progression of colorectal cancer by LINC00626 via the JAK1/STAT3/KHSRP signaling axis and its molecular mechanism.Methods 96 individuals diagnosed with colorectal cancer at our hospital during June 11,2021 and June 11,2023 were chosen as research subjects,and their cancerous tissue and nearby normal tissue were collected.Cultivate colorectal cancer cell lines(SW620,HCT116,HT29,DLD-1,LOVO,Caco-2)and normal colorectal cells(NCM460)in vitro,and detect the expression of LINC00626 and KHSRP in colorectal cancer tissue and cell lines using qRT-PCR.Screening out cell lines infected with lentivirus,SW620 and HCT116 cell lines were transfected with knockdown lentivirus and its control,while HT29 and DLD-1 cell lines were transfected with overexpressing lentivirus and its control,respectively.Select stable transfected cell lines for cell function experiments to detect proliferation,migration,and invasion abilities.Detection of the effect of LINC00626 on the growth and migration of colorectal cancer tumors in live mouse experiments.The expression level of KHSRP protein in stable labeled cells was determined using a western blot analysis.Rescue experimental research on the regulatory relationship between LINC00626 and KHSRP.Results qRT-PCR showed low expression of LINC00626 and high expression of KHSRP in colorectal cancer tissues and cell lines.Cell function experiments showed that compared with the sh-NC group,the sh-LINC00626 group promoted cell proliferation,migration,and invasion in SW620 and HCT116 cells,while the overexpression group showed the opposite.Cell rescue experiments showed that,LINC00626+KHSRP significantly reversed the promotion effects of knocking down LINC00626 on cell proliferation,migration,and invasion.In the nude mouse experiment,com-pared with the sh-NC group,the sh-LINC00626 group showed a significant increase in tumor volume and weight,cell proliferation rate,and the number of lung metastases from colorectal cancer in the nude mice;Overexpression results in the opposite.The signal pathway experiment revealed that relative to the sh-NC group,the expression levels of JAK1 and STAT3 mRNA in the sh-LINC00626 group were significantly increased,whereas the results in the overexpression group were the opposite.Conclusion LINC00626 suppression the malignant progression of colorec-tal cancer metastasis through the JAK1/STAT3/KHSRP signaling axis.

Objective:To apply deep neural networks to predict high-precision dose distribution in volume modulated arc therapy (VMAT) plans for non-small cell lung cancer (NSCLC) patients.Methods:This study developed a U-shaped network called MHA-resunet, which incorporated a large kernel dilated convolution module and a multi-head attention module. The model was trained from 151 VMAT plans of NSCLC patients. CT images, planning target volume (PTV) and organs at risk (OARs) were fed into the independent input channel. The dose distribution was taken as the output to train the model. The performance of this network was compared with that of several commonly used networks, and the networks′performance was evaluated based on the voxel-level mean absolute error (MAE) within the PTV and OARs, as well as the error in clinical dose-volume metrics.Results:The MAE between the dose distribution predicted by MHA-resunet network and the manually planned dose distribution within the PTV area was 1.51 Gy, and the D98 and D95 errors in the PTV area were both < 1 Gy. Compared with the other three commonly used networks, the dose error of the MHA-resunet was the smallest in the PTV area and in OARs except for the heart. Conclusions:The proposed MHA-resunet network improves the receptive field to learn the relative spatial relationship between the PTV area and the OARs, enabling accurate prediction of dose distribution in NSCLC patients undergoing VMAT radiotherapy.