Methods: Thirty patients with PDVO of the lumbar or thoracic spine treated with transforaminal interbody debridement and fusion (TIDF) with AIBG between March 2014 and May 2022 were reviewed (AIBG group). For comparative analysis, 28 PDVO patients who underwent TIDF without AIBG between January 2009 and June 2011 were enrolled (non-AIBG group). The minimum follow-up duration was 2 years. Clinical characteristics and surgical indications were comparable in the two groups. C-reactive protein (CRP) levels and the postoperative antibiotics course were compared between the two groups. Results: Surgical treatment for PDVO resulted in clinical improvement and adequate infection control. Despite the shorter postoperative intravenous antibiotic duration (mean: 19.0 days vs. 39.8 days), the AIBG group had significantly lower CRP levels at postoperative 4 and 6 weeks. The mean Visual Analog Scale pain scores improved from 7.3 preoperatively to 2.2 at 6 weeks postoperatively. The average angle correction at the last follow-up was 7.9°. Conclusions TIDF with AIBG for PDVO can achieve local infection control with a faster reduction in CRP levels, leading to a shorter antibiotic duration.

Methods: Thirty patients with PDVO of the lumbar or thoracic spine treated with transforaminal interbody debridement and fusion (TIDF) with AIBG between March 2014 and May 2022 were reviewed (AIBG group). For comparative analysis, 28 PDVO patients who underwent TIDF without AIBG between January 2009 and June 2011 were enrolled (non-AIBG group). The minimum follow-up duration was 2 years. Clinical characteristics and surgical indications were comparable in the two groups. C-reactive protein (CRP) levels and the postoperative antibiotics course were compared between the two groups. Results: Surgical treatment for PDVO resulted in clinical improvement and adequate infection control. Despite the shorter postoperative intravenous antibiotic duration (mean: 19.0 days vs. 39.8 days), the AIBG group had significantly lower CRP levels at postoperative 4 and 6 weeks. The mean Visual Analog Scale pain scores improved from 7.3 preoperatively to 2.2 at 6 weeks postoperatively. The average angle correction at the last follow-up was 7.9°. Conclusions TIDF with AIBG for PDVO can achieve local infection control with a faster reduction in CRP levels, leading to a shorter antibiotic duration.

Methods: Thirty patients with PDVO of the lumbar or thoracic spine treated with transforaminal interbody debridement and fusion (TIDF) with AIBG between March 2014 and May 2022 were reviewed (AIBG group). For comparative analysis, 28 PDVO patients who underwent TIDF without AIBG between January 2009 and June 2011 were enrolled (non-AIBG group). The minimum follow-up duration was 2 years. Clinical characteristics and surgical indications were comparable in the two groups. C-reactive protein (CRP) levels and the postoperative antibiotics course were compared between the two groups. Results: Surgical treatment for PDVO resulted in clinical improvement and adequate infection control. Despite the shorter postoperative intravenous antibiotic duration (mean: 19.0 days vs. 39.8 days), the AIBG group had significantly lower CRP levels at postoperative 4 and 6 weeks. The mean Visual Analog Scale pain scores improved from 7.3 preoperatively to 2.2 at 6 weeks postoperatively. The average angle correction at the last follow-up was 7.9°. Conclusions TIDF with AIBG for PDVO can achieve local infection control with a faster reduction in CRP levels, leading to a shorter antibiotic duration.

Objective:To explore the prognostic value of baseline 18F-FDG PET/CT metabolic parameters in locally advanced cervical cancer (LACC) after concurrent chemoradiotherapy (CCRT). Methods:From September 2015 to October 2021, the clinical data of 180 LACC patients (age: 22-76 years) who underwent 18F-FDG PET/CT before CCRT at Affiliated Cancer Hospital of Shandong First Medical University were analyzed retrospectively. The metabolic tumor volume (MTV), total lesion glycolysis (TLG), SUV max, and SUV mean were computed by using the margin threshold of 42%SUV max. The optimal threshold for predicting progression-free survival (PFS) was obtained by ROC curve analysis. The Kaplan-Meier method was applied for survival analysis, and the log-rank test was applied to compare the survival rate between groups. Multivariate Cox proportional hazard regression was used to analyze progression for PFS. Results:The median follow-up was 19.1 months, and 54 patients (30.0%, 54/180) suffered from disease progression. ROC curve analysis showed that the optimal cut-off value of MTV was 31.145 ml, with the AUC of 0.641. Para-aortic lymph node (PALN) metastasis had the highest AUC value (0.589) among the clinical factors, followed by International Federation of Gynecology and Obstetrics (FIGO) stage (0.581). The 1-year PFS rates of patients with MTV<31.145 ml ( n=88) and MTV≥31.145 ml ( n=92) were 80.68% and 59.78%, respectively ( χ2=13.72, P<0.001). Multivariate Cox analysis demonstrated that pathological type (hazard ratio ( HR)=3.075, 95% CI: 1.370-6.901, P=0.006), FIGO stage ( HR=1.955, 95% CI: 1.031-3.707, P=0.040), PALN metastasis ( HR=2.136, 95% CI: 1.202-3.796, P=0.010) and MTV ( HR=2.449, 95% CI: 1.341-4.471, P=0.004) were the significant predictors for PFS. Conclusions:Pathological type, FIGO stage, PALN metastasis and MTV are independent prognostic risk factors for PFS. MTV as the baseline 18F-FDG PET/CT metabolic parameter, can realize prognostic stratification analysis.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Nitazoxanide is an FDA-approved antiprotozoal drug. Our previous study found that oral administration of nitazoxanide inhibited Western diet (WD)-induced hepatic steatosis in ApoE^-/- mice. However, the specific mechanism remains to be elucidated. In the present study, we performed an untargeted metabolomics approach to reveal the effect of nitazoxanide on the liver metabolic profiles in WD-fed ApoE^-/- mice, and carried out the cellular experiments to elucidate the underlying mechanisms. UPLC-MS-based untargeted metabolomics analysis was used to investigate the effect of nitazoxanide on global metabolite changes in liver tissues. The differential metabolites were screened for enrichment analysis and pathway analysis. Hepatocytes were treated with tizoxanide, the metabolite of nitazoxanide, to investigate the underlying mechanism based on the findings in metabolomics study. The improvement of liver lipid metabolism disorders by nitazoxanide treatment in WD-fed ApoE^-/- mice was mainly through regulating glycerophospholipid metabolism, D-glutamine and glutamate metabolism, glutathione metabolism, and arginine biosynthesis metabolism. Tizoxanide, the active metabolite of nitazoxanide, increased glutathione (GSH) contents and glutamate-cysteine ligase catalytic subunit (Gcl-c) and glutathione reductase (Gsr) mRNA expressions in HepG2 cells. Tizoxanide increased cystathionine β-synthase (CBS) and phosphatidylethanolamine N-methyltransferase (PEMT) protein levels, inhibited lipid accumulation in hepatocytes induced by free fatty acid (FFA). Tizoxanide increased S-adenosyl-L-homocysteine hydrolase (SAHH) protein levels in HepG2 cells and mouse primary liver cells stimulated with free fatty acid (FFA). Tizoxanide increased N-acetyl glutamate synthase (Nags) and carbamoylphosphate synthetase 1 (Cps1) mRNA expressions in HepG2 cells. In conclusion, nitazoxanide improves WD-induced hepatic steatosis in ApoE^-/- mice and the underlying mechanisms include increasing CBS expression, GSH content, PEMT protein expression, Nags and Cps1 mRNA expression in hepatocytes.

Objective To investigate the therapeutic effect of transcutaneous auricular vagus nerve stimulation(taVNS)on overweight/obesity patients,and to explore its central mechanism.Methods Twenty-six overweight/obesity patients were randomly divided into two groups,12 cases in the taVNS test group(shortened as the taVNS group)and 14 cases in the lifestyle intervention control group(shortened as the control group).The patients in the control group were treated with online lifestyle intervention of calorie-restricted diet(CRD),and the patients in the taVNS group were treated with taVNS on the basis of the intervention for the control group.The taVNS was performed on unilateral acupoints of spleen and endocrine,twice(in the morning and at evening)per day,for five days a week.The treatment for the two groups covered four weeks.The obesity indicators such as body weight,body mass index(BMI)and waist circumference of the patients in the two groups were observed before and after treatment.Moreover,the resting-state cerebral functional magnetic resonance imaging(fMRI)data of the patients were collected after treatment,and then the regulatory effect of taVNS on the regional homogeneity(ReHo)of local cerebral area of the patients was observed.Results(1)During the trial,one case in each group dropped off,and a total of 24 patients(including 13 cases in the control group and 11 cases in the taVNS group)were finally included in the statistical analysis of the observation indicators.(2)After treatment,the body weight,BMI and waist circumference of patients in the taVNS group were decreased compared with those before treatment(P＜0.05),while the obesity indicators in the control group only showed a downward trend compared with those before treatment,the differences being not statistically significant(P＞0.05).The improvement of the obesity indicators of body weight,BMI,and waist circumference in the taVNS group was significantly superior to that in the control group,and there were statistically significant differences in the post-treatment indicators and in the pre-and post-treatment difference values of the indicators between the two groups(P＜0.05 or P＜0.01).(3)After treatment,the taVNS group had greater ReHo values in the left prefrontal lobe and medial frontal gyrus than the control group,and the control group had greater ReHo value in the right parietal lobe than the taVNS group,which indicated that compared with the control group,the ReHo of the left prefrontal lobe and medial frontal gyrus in the taVNS group was increased and the ReHo of the right parietal lobe was decreased(Pvoxel＜0.001,Pcluster＜0.05,corrected by FWE level).Conclusion As a non-invasive treatment method,taVNS exerts certain efficacy for the treatment of overweight/obesity patients.The central response mechanism for treatment of obesity is probably related with the modulation of taVNS on the functional areas of left prefrontal lobe,medial frontal gyrus,and right parietal lobe of the patients.

Aim To evaluate the effectiveness and safety of remimazolam tosylate for administering general anesthesia in morbidly obese patients.Methods This clinical trial was conducted at a single center from De-cember 2021 to October 2023.It assessed 108 morbid-ly obese patients(body mass index,BMI≥40)who underwent laparoscopic sleeve gastrectomy.Patients were randomly assigned to either the remimazaolam group(Group R)or the propofol group(Group P)for general anesthesia induction and maintenance.The primary outcome was to compare the incidence of ad-verse events and postoperative recovery characteristics between the two groups.Results During induction pe-riod,the incidence of adverse events was higher in group P,including hypotension(P＜0.01),hypox-emia(P＜0.05),bradycardia(P＜0.01),and in-creased vasopressor requirement(P＜0.05).The time to loss of consciousness and BIS falling to 60 was shor-ter in group P than in group R(P＜0.01).There were no statistically significant differences between the two groups in terms of postoperative quality of recovery(QoR-40 score),24-hour postoperative pain visual an-alogue scale(VAS)scores and morphine consump-tion.In conclusion,remimazolam tosylate,utilized for anesthesia induction in morbidly obese patients,signif-icantly reduced hypotension and hypoxemia compared to propofol,while it could also maintain similar postop-erative recovery quality.Conclusions Remimazolam is effective in reducing the incidence of hypotension and hypoxaemia during the induction period of general anaesthesia in morbidly obese patients and it is compa-rable to propofol in terms of quality of postoperative re-covery.

Objective With the widespread of transcatheter aortic valve replacement(TAVR)in patients with severe symptomatic aortic stenosis(AS),the life-cycle management has become a major determinant of prognosis.Methods A total of 408 AS patients who underwent successfully TAVR from June 2021 to August 2023 were consecutively enrolled in Hospital Valve Intervention Center.Patients were assigned to the Usual Care(UC)group between June 2021 and October 2022,while patients were assigned to the Heart Multi-parameter Monitoring(HMM)group between November 2022 and August 2023.The primary endpoint was defined as composite endpoint within 6 months post-TAVR,including all-cause death,cardiovascular death,stroke/transient ischemic attack,conduction block,myocardial infarction,heart failure rehospitalization,and major bleeding events.Secondary endpoints were the time interval(in hours)from event occurrence to medical consultation or advice and patient satisfaction.Statistical analysis was performed using Kaplan-Meier and multivariable Cox proportional hazards models.Results The incidence of primary endpoint in HMM group was significantly lower than that in UC group(8.9％vs.17.7％,P=0.016),the driving event was the rate of diagnosis and recognition of conduction block.The average time intervals from event occurrence to receiving medical advice were 3.02 h in HHM group vs.97.09 h in UC group(P＜0.001).Using cardiac monitoring devices and smart healthcare platforms provided significant improving in patients long-term management(HR 0.439,95％CI 0.244-0.790,P=0.006).Conclusions The utilization of cardiac monitoring devices and smart healthcare platforms effectively alerted clinical events and improved postoperative quality of life during long-term management post TAVR.