Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective Based on the finite element simulation analysis of the patient's torso-spine model and combined with theoretical calculation data,an individualized scoliosis orthosis was designed,and the effectiveness of the orthosis was verified through three-dimensional(3D)printing.Methods A patient with idiopathic scoliosis was chosen as the research object.Reverse engineering technology and computer-aided technology were used to establish the torso-spine model of the patient.The finite element method was used to analyze the model,and the optimal position and magnitude of the corrective force were determined by combining literature theory calculation.Based on this,an orthosis was designed.To verify the orthopedic effect,the patient's X-rays before and after wearing the orthosis were compared and evaluated,and the patient was followed up 6 months later.Results The optimal position and magnitude of the initial corrective force were determined through theoretical calculations and finite element simulations.Specifically,a 62.95 N corrective force applied to the L3 vertebral body and the left posterior region corresponding to the upper and lower intervertebral discs in the patient's lateral curvature segment of the spine to achieve the optimal orthopedic effect.On this basis,the orthosis was designed,followed by relevant experimental tests before and after wearing the designed orthosis.By comparing X-ray images of the patient before and after wearing the orthosis and combining them with follow-up data six months later,the optimized design of the orthosis met the expected clinical requirements for orthopedic effects.Conclusions The design of orthosis needs to be personalized according to the specific situation of patients with scoliosis.This study takes a patient with idiopathic scoliosis as the research object,providing new ideas and methods for the design of orthosis for patients with idiopathic scoliosis.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Purpose To explore the application of contrast-enhanced ultrasound in evaluating the local muscle microcirculation before and after acupuncture at Zusanli point in normal people.Materials and Methods A total of 72 healthy volunteers who visited the Department of Ultrasound,the Second Affiliated Hospital of Fujian Medical University from September 2018 to May 2020 were prospectively collected,all subjects performed ultrasound contrast before acupuncture,acupuncture with strongest deqi,and two hours after acupuncture to observe the blood flow perfusion of the microvessels in the tibialis anterior muscle.The pre-selected areas of interest the small arteries,muscle tissues and venules in the middle were analyzed to obtain the time-intensity curve and contrast transit time(CTTs)perfusion parameters.Needle sensation was evaluated using objective scoring criteria for acupuncture combined with moxibustion recipients.Gastrin,plasma gastrin,cholecystokinin,and secretin were measured in all subjects before acupuncture,when acupuncture had the strongest deqi,and two hours after acupuncture.Results ①CTTs of arterial-muscle,muscle-venous and arterial-venous of the tibialis anterior muscle at acupuncture with strongest deqi were significantly shorter than those at before acupuncture and two hours after acupuncture(all P<0.001),and there was no significant difference in CTTs before and after acupuncture and moxibustion(P>0.05);②when acupuncture deqi was strongest,serum gastrin,plasma prokinetics,cholecystokinin,and secretin were significantly increased compared with those before acupuncture and two hours after acupuncture,with statistically significant difference(all P<0.001),while there was no significant difference in these parameters between before acupuncture and two hours after acupuncture(P>0.05);③when acupuncture had the strongest deqi,there were positive correlations between gastrin,plasma prokinetic hormone,cholecystokinin,and secretin values and CTTs of arterial-muscle,muscle-venous,and arterial-venous(r=0.360-0.702,P<0.001).Conclusion Acupuncture of the Zusanli,when it gains the strongest deqi,can cause changes in the microcirculation around the skeletal muscle,leading to a significant shortening of CTTs,and also promotes the secretory function of the gastrointestinal tract.

Objective:To analyze the differentially expressed genes (DEGs) in visceral adipose tissue of patients with type 2 diabetes mellitus (T2DM) based on bioinformatics.Methods:The microarray dataset GSE78721 was downloaded from the Gene Expression Omnibus (GEO) database, including visceral fat samples data from 19 T2DM patients and 16 non-diabetic subjects. The analysis of transcriptomic profiling results from tissue samples was conducted, and a comparison between different groups of samples based on gender was performed. The online Xintao Academic Database was utilized for the analysis, employing the "limma" package in R language to filter DEGs. Subsequently, the DEGs were visualized, and Gene Ontology (GO) functional annotation along with Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were carried out and visualized. Based on the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, a protein-protein interaction network (PPI) of DEGs was constructed and key differentially expressed genes were identified and visualized using Cytoscape software.Results:Analysis of visceral adipose tissue gene expression profiles revealed 168 DEGs (|log 2FC|≥1, P<0.05). In females, 42 mRNAs were up-regulated, 3 were down-regulated; in males, 105 were up-regulated, 37 were down-regulated, 19 genes were shared by the two groups. GO analysis linked DEGs to insulin-like growth factor receptor signaling and regulation, nutrient response, and leukocyte migration. KEGG analysis implicated extracellular matrix receptor interactions and leukocyte transendothelial migration. The PPI network unveiled 10 key genes, including COL1A1, COL1A2, TGFB3, PCOLCE, TIMP1, COL6A2, COMP, COL14A1, VCAM1 and THY1. Conclusion:Bioinformatics technology can effectively analyze and screen DEGs in visceral adipose tissue of T2DM patients, providing useful clues for further exploring its molecular mechanism and finding therapeutic targets.

Objective To compare the effects of visual rigid laryngoscope and visual laryngoscope in nasotracheal intubation(NTI)for patients with cervical spine immobilization simulated difficult airway.Methods Ninety patients scheduled for selective surgery under general anesthesia requiring NTI,52 males and 38 females,aged 18-64 years,BMI 18.5-25.0 kg/m2,ASA physical status Ⅰ or Ⅱ,were scheduled for selective surgery under general anesthesia requiring NTI.Before anesthesia induction,the spinal surgeon selected an appropriate cervical collar and adjusted it to fix patient's neck to establishing difficult airway sim-ulation model.All patients were randomly assigned into two groups:visual rigid laryngoscope(group R)and common visual laryngoscope(group C),45 patients in each group.NTI was performed using either visual rigid laryngoscope or visual laryngoscope in groups R and C,respectively.The nasal passage time,glottic exposure time,intubation time,number of successful first intubation attempts,and intubation attempts were recorded.Glottic exposure was assessed using the Cormack-Lehane(C-L)grading system,and the intuba-tion condition was quantitatively evaluated using the modified nasal intubation difficulty scale(NIDS).The blood pressure and heart rate were measured at baseline(T1),immediately after intubation(T2),and at 1 minute(T3)and 3 minutes(T4)after intubation.The occurrence of intubation-related complications(nasal bleeding,sore throat,hoarseness)was recorded.Results Compared with group C,the nasal passage time and proportion of successful intubations without difficulty were significantly increased in group R,and the glottic exposure time and intubation time were significantly decreased in group R(P<0.05).Compared with group C,the HR and MAP at T2 and T3 were significantly decreased in group R(P<0.05).Com-pared with group C,group R had significantly lower incidence rates of nasal bleeding,sore throat,and hoarseness(P<0.05).There were no statistically significant differences in the first intubation success rate,number of intubation attempts,or C-L grade between the two groups.Conclusion Patients with cer-vical spine immobilization simulated difficult airway,both visual rigid laryngoscope and visual laryngoscope can be performed safely and effectively in NTI.Compared with visual laryngoscope,visual rigid laryngoscope can provide faster glottic exposure,shorter intubation time,lower intubation difficulty,less hemodynamic impact,and lower incidence of complications.

Objective:This study aimed to explore the status of radiological Kashin-Beck disease (KBD) among school-aged children in Chamdo City, Tibet, through a 3-year monitoring survey, providing epidemiological evidence for prevention and control strategies.Methods:The target areas for this study were Luolong, Bianba, and Basu counties in Chamdo City, Tibet Autonomous Region, identified as having the most severe historical cases of KBD. Children aged 7-12 years attending school were enrolled as study subjects. Anteroposterior X-ray films of the right-hand were taken, and radiological diagnoses were made based on the "Diagnosis of Kashin-Beck Disease" criteria (WS/T 207-2010). Two experienced researchers independently reviewed the X-rays, and intra- and inter-group consistency were assessed using weighted Kappa values and percentage agreement. Cross-sectional surveys were conducted in 2017 and 2020 to describe the X-ray detection rates of KBD, and logistic regression analysis was employed to construct a predictive model of risk factors for radiological KBD cases.Results:In 2017, a total of 5,711 children aged 7-12 years in Chamdo City, Tibet, participated in the baseline cross-sectional survey (average age 9.2 years, 48.0% female), with 28 cases of radiological KBD. The age- and gender-standardized prevalence rate was 0.527%. In 2020, 6,771 participants (average age 9.3 years, 49.5% female) underwent a second cross-sectional survey, with 9 cases of radiological KBD and a standardized prevalence rate of 0.134%. Logistic regression analysis indicated that older age [ OR=2.439, 95% CI(1.299, 4.580), P=0.006] and female gender [ OR=8.157, 95% CI(1.016, 65.528), P=0.048] were independent risk factors for radiological KBD cases. Conversely, higher residential altitude, under the premise of Tibet's high altitude, was a protective factor [ OR=0.995, 95% CI(0.990, 0.999), P=0.032). Conclusion:The radiographically positive detection rate of KBD among school-aged children in Chamdo City, Tibet Autonomous Region, is at an extremely low level and showing a declining trend, reaching the historical standard in 2020. Considering the absence of positive signs in affected children, it suggests that local KBD has been effectively eliminated.

Thoracic aortic disease, which involves some of the arch vessels, is challenging to treat because of its complex anatomical structure and variation. With the progress and development of endovascular repair technology, in situ fenestration and pre-fenestration have become important measures for the treatment of thoracic aortic diseases. In recent years, there have been a series of reports on the application of in situ fenestration or pre-fenestration in a few centers, and the preliminary results are satisfactory. However, there are some problems such as single operation and small sample size. In order to further compare and analyze the safety and efficacy between the two operations, meta-analysis was conducted by searching Pubmed, Embase, Cochrane, Web of Science, China National Knowledge Infrastructure, Wanfang data, VIP data and China Biology Medicine disc. There was no significant difference in technical success rate, 30-day mortality, endoleak rate and reintervention rate between the two methods. The application of surgical methods can be determined according to the patient's condition and the surgeon's clinical experience.

Objective: To conduct the integrated management of hospital, community and family for patients with insulin injection at home, in order to explore the influence of this trinity health education model on the knowledge of medical waste and the standard disposal of discarded needles. Methods: The self-designed questionnaire was used to investigate the knowledge and disposal of medical waste in outpatients, and the causes were analyzed carefully after the problems were found. The hospital, community and family were timely communicated and fed back to the ward and community. After 1, 3 and 6 months of educational intervention, the disposal of insulin needles, the knowledge of medical waste and the recovery of sharp instrument boxes were observed. Results: After 1, 3 and 6 months of health education, the final rate of insulin needles mixed into domestic waste was 51.8% (144/278), 15.1% (42/278) and 4.7% (13/278), respectively. Compared with the first result of 99.6% (277/278), the difference was statistically significant (χ²=173.046, 406.136, 502.346, P<0.01); The first survey found that the correct rate of responding to medical waste knowledge items was low. After health education for 1, 3 and 6 months, the correct rate of medical waste related knowledge items was significantly higher than that of the first survey, and the difference was statistically significant (OR=3.016-3 548.810; 95%CI 2.108-917.869, 4.315-19 777.062; χ²=25.180-524.895; P<0.01) ; After 1, 3 and 6 months of health education, the qualified rate of medical waste knowledge was 82.4% (229/278),75.9% (211/278) and 97.1% (270/278), respectively, which was significantly higher than the first result of 6.5% (18/278). The difference was statistically significant (χ²=324.328, 273.712, 453.832, P<0.01). The sharp box recovery of hepatitis B patients was relatively good. Conclusion Hospital-community-family Trinity health education model can improve the breadth and depth of education objects, not only can improve the knowledge of medical waste related to insulin injection patients at home, but also can improve the standardized disposal ability of insulin waste needles. With the passage of time, the effect of health education continues to be good. This integrated health education model is worth popularizing in clinic.