Objective : To pathological changes and inducible nitric oxide synthase(iNOS), phosphorylated insulin receptor substrate 1 serine 307(p-IRS1ser 307), phosphorylated protein kinase B serine 473(p-AKTser 473), glycogen synthase kinase-3β(GSK-3β), and gluconeogenic synthase(GS) proteins were observed in the liver of rats under the condition of chronic intermittent hypoxia-replicated oxygen in control. And to explore the role of iNOS/IRS1/AKT/GSK-3β signaling pathway in chronic intermittent hypoxia-induced insulin resistance. Methods : Forty SD rats were randomly divided into a control group(NC group) and an experimental group(CIH group), with 20 rats in each group. The NC group was placed in a normoxic environment for 12 weeks, while the CIH group was first subjected to intermittent hypoxia for 8 weeks, and then resumed normoxic rearing until the 12th week. Fasting blood glucose(FBG) and fasting insulin(FINS) were measured at baseline, week 8 and week 12, and liver tissues were taken for pathology and measurement of iNOS, p-IRS1ser 307, p-AKTser 473, GSK3β and GS levels, to compare the differences between groups. Results: t baseline, there was no significant difference in liver pathology between the two groups, and the observed indexes were not statistically significant(P>0.05); at 8 weeks, compared with the NC group, liver pathology in the CIH group showed significant disorganization of hepatic blood sinusoids and hepatocyte cords, obvious hepatocyte edema, smaller nuclei, increased lymphocyte infiltration, and a small number of fat vacuoles, significantly higher levels of FBG, FINS, insulin resistance index(HOMA-IR), iNOS mRNA, p-IRS1ser 307 protein, GSK-3β protein levels, and decreased p-AKTser 473 protein and GS protein levels, all of which were statistically significant(allP<0.05). IRS1ser 307 protein, GSK-3β protein levels were increased, p-AKTser 473 protein and GS protein levels were decreased, and the differences were statistically significant(allP<0.05); at 12 weeks, no lymphocyte infiltration was seen in the CIH group compared with that of the NC group and fat vacuoles significantly increased, and there was no improvement in the other pathological damage that had already occurred, and the levels of p-AKTser 473 protein significantly increased. AKTser 473 protein level significantly increased, p-IRS1ser 307 protein and GS protein levels were significantly reduced, all of which were statistically significant(allP<0.05), and the rest of the observational indexes were not statistically significant. Pearson′s correlation analysis showed that HOMA-IR of CIH group was significantly positively correlated with the levels of iNOS mRNA, p-IRS1ser 307 protein, and GSK-3β protein at 8 weeks(r=0.874, 0.817,0.872;allP<0.05), and significantly negatively correlated with the levels of p-AKTser 473 protein and GS protein(r=-0.886,-0.879;allP<0.05). Conclusion Chronic intermittent hypoxia can lead to hepatic pathological damage that cannot be reversed even by reoxygenation interventions and may mediate the development of insulin resistance by upregulating the IRS1/AKT/GSK-3β signaling pathway through the upregulation of iNOS mRNA expression.

Objective Based on the knowledge graph to analyze the research status and application trends of artificial intelligence(AI)in the field of fetal health status assessment,and to explore the development context and research hotspots.Methods The relevant literature in the field of fetal health status assessment was retrieved in the Web of Science,PubMed,IEEE Xplore,CNKI and Wanfang Data Knowledge Service Platform,and the search time period was from January 2015 to December 2024.The CiteSpace software was used to generate visual maps of authors,institutions and key words,and bibliometric analysis was conducted on institutions,authors and key words,etc.Results Globally,the number of annual publications of research related to the application of AI to the assessment of fetal health status had been on the rise in the past 10 years.The research hotspots focused on influencing factors,prenatal diagnosis,feature extraction,diagnostic models,machine learning,deep learning,fetal heart rate,etc,indicating that AI had promoted the transformation of fetal condition monitoring and clinical decision-making towards digital diagnosis and treatment driven by deep learning through technological innovation.Conclusion At present,research on AI assisted intelligent monitoring of fetal health mainly focuses on signal processing,feature extraction,and innovative applications.The combination of medical and engineering is an important way to carry out related research and achieve application implementation.In the future,the intelligent,digital,and precise processes in this field will continue to accelerate.

Objective:To investigate the correlation between postoperative spinal sagittal parameters and reinforced vertebral recompression fractures in patients with osteoporotic vertebral compression fractures (OVCFs) who have undergone percutaneous kyphoplasty (PKP).Methods:Data on patients with OVCFs treated with PKP at the Department of Orthopaedics, Second Affiliated Hospital of Soochow University, from August 2020 to August 2024, were collected. Among these, 31 patients who underwent single-segment PKP experienced postoperative reinforced vertebral recompression fractures (recompression fracture group), comprising 8 males and 23 females, with a mean age of 73.74±8.76 years, a body mass index (BMI) of 23.83±1.87 kg/m 2, and a bone mineral density T-value of -2.29±0.55. The remission rate of the visual analogue scale (VAS) after surgery was 80.14%±4.86%, with a mean volume of bone cement used at 5.37±0.69 ml. The surgical segments involved included T 5 (1 case), T 8 (1 case), T 10 (1 case), T 11 (4 cases), T 12 (9 cases), L 1 (7 cases), L 2 (4 cases), L 3 (2 cases), and L 4 (2 cases). Following a 1∶1 matching principle, 31 patients whose vertebrae did not experience reinforced recompression fractures during the same period (non-recompression fracture group) were included. This group also comprised 8 males and 23 females, with a mean age of 74.88±8.31 years, a BMI of 23.15±2.04 kg/m 2, a bone mineral density T-value of -2.76±0.64, and a VAS remission rate of 79.75%±5.01%. The mean volume of bone cement used in this group was 5.41±0.72 ml. The surgical segments involved included T 8 (1 case), T 10 (1 case), T 11 (4 cases), T 12 (8 cases), L 1 (7 cases), L 2 (5 cases), L 3 (2 cases), L 4 (2 cases), and L 5 (1 case). There were no statistically significant differences in the aforementioned indicators between the two patient groups ( P>0.05). A comparison of the postoperative spinal sagittal parameters between the two groups was conducted, focusing on the local kyphosis angle (LKA), lumbar lordosis (LL), thoracic kyphosis (TK), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), and the lumbar-pelvic matching value (PI-LL). Indicators that exhibited statistically significant differences were included in the binary logistic regression analysis to evaluate the impact of spinal sagittal parameters following PKP on the recompression of the reinforced vertebral. Results:The time to reinforced vertebral recompression fractures after PKP ranged from 35 to 184 d, with a median of 69 d. The TK in the recompression fracture group (46.56°±7.02°) was significantly greater than that in the non-recompression fracture group (41.95°±5.76°). Additionally, the LKA, PI and SS were all smaller in the recompression fracture group (9.84°±2.13°, 41.36°±4.27°, 22.69°±5.53°, respectively) compared to the non-recompression fracture group (12.37°±2.64°, 48.09°±6.33°, 28.41°±7.64°), with all differences being statistically significant ( P<0.05). However, no significant differences were observed between the LL, PT, and PI-LL values ( P>0.05). TK, LKA, PI, and SS were included in the binary logistic regression analysis, which indicated that TK [ OR=1.533, 95% CI(1.47, 1.59)] after PKP was positively correlated with the occurrence of reinforced vertebral recompression fractures. Conversely, LKA [ OR=0.882, 95% CI(0.80, 0.96)], PI [ OR=0.815, 95% CI(0.71, 0.91)], and SS [ OR=0.833, 95% CI(0.73, 0.93)] were negatively correlated. Conclusions:The incidence of reinforced vertebral recompression fractures following PKP is associated with spinal sagittal parameters, including TK, LKA, PI, and SS. Specifically, a larger TK and smaller values of LKA, PI, and SS are correlated with an elevated risk of reinforced vertebral recompression fractures.

Objective To study the multifractal features of fetal heart rate(FHR)signals,and to investigate the multiscale energy distribution features of FHR variability.Methods The study focuses on FHR signals from an open database released by Czech Technical University-University Hospital in Brno(CTU-UHB).Daubechies second-order wavelets db2 was applied to decompose FHR signals into level d1-d7 detail components and approximation components.R/S analysis was performed on the decomposed components,and Hurst index was used to study the multifractal features of the decomposed signals.Hurst index＜0.5 indicated that the signal had anti-persistence,Hurst index＞0.5 indicated that the signal had positive persistence,and the decomposed signal was reconstructed by using fractal features.The distribution law of energy was analyzed.Results The Hurst index of d1-d7 approximation components was＞0.5,which indicates that the approximation components of FHR signal have positive persistent single fractal characteristics.The Hurst index of d1-d3 detail components was＞0.5,the Hurst index of d7 detail components was＜0.5,and the Hurst index of d4-d6 detail components contained both＞0.5 and＜0.5,showing the bi-fractal feature.Based on the above multi-fractal analysis results,the FHR decomposed signals were reconstructed into three different subsequences,i.e.microscale sequence,mesoscale sequence,and macroscale sequence.The statistical results showed that the energy of these three sequences accounts for approximately 5％,70％,and 25％of the total energy,respectively(P＜0.05).Conclusion The FHR signal was characterized by complex multifractal features,and the energy of the fetal heart rate signal was mainly concentrated in the mesoscale.

Objective Based on the knowledge graph to analyze the research status and application trends of artificial intelligence(AI)in the field of fetal health status assessment,and to explore the development context and research hotspots.Methods The relevant literature in the field of fetal health status assessment was retrieved in the Web of Science,PubMed,IEEE Xplore,CNKI and Wanfang Data Knowledge Service Platform,and the search time period was from January 2015 to December 2024.The CiteSpace software was used to generate visual maps of authors,institutions and key words,and bibliometric analysis was conducted on institutions,authors and key words,etc.Results Globally,the number of annual publications of research related to the application of AI to the assessment of fetal health status had been on the rise in the past 10 years.The research hotspots focused on influencing factors,prenatal diagnosis,feature extraction,diagnostic models,machine learning,deep learning,fetal heart rate,etc,indicating that AI had promoted the transformation of fetal condition monitoring and clinical decision-making towards digital diagnosis and treatment driven by deep learning through technological innovation.Conclusion At present,research on AI assisted intelligent monitoring of fetal health mainly focuses on signal processing,feature extraction,and innovative applications.The combination of medical and engineering is an important way to carry out related research and achieve application implementation.In the future,the intelligent,digital,and precise processes in this field will continue to accelerate.

Objective:To investigate the correlation between postoperative spinal sagittal parameters and reinforced vertebral recompression fractures in patients with osteoporotic vertebral compression fractures (OVCFs) who have undergone percutaneous kyphoplasty (PKP).Methods:Data on patients with OVCFs treated with PKP at the Department of Orthopaedics, Second Affiliated Hospital of Soochow University, from August 2020 to August 2024, were collected. Among these, 31 patients who underwent single-segment PKP experienced postoperative reinforced vertebral recompression fractures (recompression fracture group), comprising 8 males and 23 females, with a mean age of 73.74±8.76 years, a body mass index (BMI) of 23.83±1.87 kg/m 2, and a bone mineral density T-value of -2.29±0.55. The remission rate of the visual analogue scale (VAS) after surgery was 80.14%±4.86%, with a mean volume of bone cement used at 5.37±0.69 ml. The surgical segments involved included T 5 (1 case), T 8 (1 case), T 10 (1 case), T 11 (4 cases), T 12 (9 cases), L 1 (7 cases), L 2 (4 cases), L 3 (2 cases), and L 4 (2 cases). Following a 1∶1 matching principle, 31 patients whose vertebrae did not experience reinforced recompression fractures during the same period (non-recompression fracture group) were included. This group also comprised 8 males and 23 females, with a mean age of 74.88±8.31 years, a BMI of 23.15±2.04 kg/m 2, a bone mineral density T-value of -2.76±0.64, and a VAS remission rate of 79.75%±5.01%. The mean volume of bone cement used in this group was 5.41±0.72 ml. The surgical segments involved included T 8 (1 case), T 10 (1 case), T 11 (4 cases), T 12 (8 cases), L 1 (7 cases), L 2 (5 cases), L 3 (2 cases), L 4 (2 cases), and L 5 (1 case). There were no statistically significant differences in the aforementioned indicators between the two patient groups ( P>0.05). A comparison of the postoperative spinal sagittal parameters between the two groups was conducted, focusing on the local kyphosis angle (LKA), lumbar lordosis (LL), thoracic kyphosis (TK), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), and the lumbar-pelvic matching value (PI-LL). Indicators that exhibited statistically significant differences were included in the binary logistic regression analysis to evaluate the impact of spinal sagittal parameters following PKP on the recompression of the reinforced vertebral. Results:The time to reinforced vertebral recompression fractures after PKP ranged from 35 to 184 d, with a median of 69 d. The TK in the recompression fracture group (46.56°±7.02°) was significantly greater than that in the non-recompression fracture group (41.95°±5.76°). Additionally, the LKA, PI and SS were all smaller in the recompression fracture group (9.84°±2.13°, 41.36°±4.27°, 22.69°±5.53°, respectively) compared to the non-recompression fracture group (12.37°±2.64°, 48.09°±6.33°, 28.41°±7.64°), with all differences being statistically significant ( P<0.05). However, no significant differences were observed between the LL, PT, and PI-LL values ( P>0.05). TK, LKA, PI, and SS were included in the binary logistic regression analysis, which indicated that TK [ OR=1.533, 95% CI(1.47, 1.59)] after PKP was positively correlated with the occurrence of reinforced vertebral recompression fractures. Conversely, LKA [ OR=0.882, 95% CI(0.80, 0.96)], PI [ OR=0.815, 95% CI(0.71, 0.91)], and SS [ OR=0.833, 95% CI(0.73, 0.93)] were negatively correlated. Conclusions:The incidence of reinforced vertebral recompression fractures following PKP is associated with spinal sagittal parameters, including TK, LKA, PI, and SS. Specifically, a larger TK and smaller values of LKA, PI, and SS are correlated with an elevated risk of reinforced vertebral recompression fractures.

Objective To study the multifractal features of fetal heart rate(FHR)signals,and to investigate the multiscale energy distribution features of FHR variability.Methods The study focuses on FHR signals from an open database released by Czech Technical University-University Hospital in Brno(CTU-UHB).Daubechies second-order wavelets db2 was applied to decompose FHR signals into level d1-d7 detail components and approximation components.R/S analysis was performed on the decomposed components,and Hurst index was used to study the multifractal features of the decomposed signals.Hurst index＜0.5 indicated that the signal had anti-persistence,Hurst index＞0.5 indicated that the signal had positive persistence,and the decomposed signal was reconstructed by using fractal features.The distribution law of energy was analyzed.Results The Hurst index of d1-d7 approximation components was＞0.5,which indicates that the approximation components of FHR signal have positive persistent single fractal characteristics.The Hurst index of d1-d3 detail components was＞0.5,the Hurst index of d7 detail components was＜0.5,and the Hurst index of d4-d6 detail components contained both＞0.5 and＜0.5,showing the bi-fractal feature.Based on the above multi-fractal analysis results,the FHR decomposed signals were reconstructed into three different subsequences,i.e.microscale sequence,mesoscale sequence,and macroscale sequence.The statistical results showed that the energy of these three sequences accounts for approximately 5％,70％,and 25％of the total energy,respectively(P＜0.05).Conclusion The FHR signal was characterized by complex multifractal features,and the energy of the fetal heart rate signal was mainly concentrated in the mesoscale.

The application of function-preserving pancreatic surgery as a restrictive resection technique is primarily targeted towards benign or those with borderline or low-grade lesions. This approach has been shown to significantly improve both short-term and long-term quality of life outcomes for patients following surgical intervention. In comparison to conventional laparoscopic procedures, robotic surgical systems have demonstrated superior efficacy and precision when employed in pancreas surgeries, and the safety and reliability are widely recognized within the medical community. Nevertheless, there remains a dearth of research investigating the specific appli-cations of robotic-assisted function-preserving pancreatic surgery. Consequently, the authors compre-hensive review the latest progress on robot-assisted function-preserving pancreatic surgery, while highlighting of surgical scope, techniques utilized during these procedures as well as associated prognostic considerations.

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Objective To investigate the effects of chronic intermittent hypoxia(CIH)and reoxygenation on insulin resistance(IR)and expressions of miR-27a-3p/PPARγ/IRS1/PI3K/AKT in rat skeletal muscle.Methods GEO database was used for screening the differentially expressed miRNAs in CIH,and their target genes were subjected to GO and KEGG enrichment analysis followed by construction of the miRNA-mRNA-pathway regulatory network using Cytoscape.In the animal experiment,48 male SD rats were randomly divided into normoxia group and CIH group(8 weeks of CIH followed by 4 weeks of normoxic recovery).Blood and skeletal muscle samples were collected at baseline,8 weeks,and 12 weeks to evaluate the changes in fasting blood glucose(FBG)and fasting insulin(FINS)levels and muscular pathology.RT-qPCR and Western blotting were used to detect the changes in the expressions of miR-27a-3p,PPARγ,GLUT4,IRS1,p-IRS1,PI3K,p-AKT and AKT in the muscular tissues.Results No muscular miRNA datasets for CIH were available in GEO database,from which only a kidney-related dataset(GSE202480)was obtained,based on which a total of 165 differentially expressed miRNAs were identified.GO/KEGG analysis suggested that these miRNAs were involved in muscular regulation and insulin signaling.The miRNA-mRNA-pathway network highlighted miR-27a-3p as a crucial regulator in the PPAR and PI3K/AKT pathway.In the animal experiment,the rats subjected to CIH for 8 weeks showed significantly increased FBG,FINS,HOMA-IR,and PPARγ levels,loose muscle fiber arrangement,decreased cross-sectional area of the muscle fibers,and lowered expressions of miR-27a-3p,p-IRS1/IRS1,PI3K,and p-AKT/AKT in the skeletal muscles.Conclusion CIH increases IR,causes skeletal muscle pathology,downregulates miR-27a-3p expression,upregulates PPARγ expression,and inhibits IRS1/PI3K/AKT insulin signaling in the skeletal muscles of rats,and these changes can be reversed by reoxygenation.MiR-27a-3p may participate in CIH-induced IR by modulating the PPAR γ/IRS1/PI3K/AKT signaling pathway.