This paper aims to explore the effect of electrical stimulation of triboelectric nanogenerators (TENGs) on the osteogenic and other biological behaviors of mouse embryonic osteoblast precursor cells (MC3T3-E1 cells) on titanium surfaces. First, an origami-type TENG was fabricated, and its electrical output performance was tested. The optimal current of the generator and the feasibility of the experiment were verified by the CCK-8 assay and scratch assay. At the optimal current, the osteogenic conditions of the cells in each group were determined by quantitative analysis of the total protein content, alkaline phosphatase (ALP) activity, and alizarin red staining (ARS) on the titanium surface. Finally, the adhesion and spreading of cells on the titanium surface after electrical stimulation were observed. The results showed that the TENG had good electrical output performance, with an open-circuit voltage of 65 V and a short-circuit current of 42 μA. Compared with the rest of the current, a current strength of 30 μA significantly improved cell proliferation and migration, osteogenesis, and adhesion and spreading capabilities. The above results confirm the safety and operability of TENG in biomedical applications, laying the foundation for future TENG applications in reducing the time of bone integration around titanium implants after surgery.
Titanium/chemistry* ; Osteogenesis ; Animals ; Mice ; Osteoblasts/cytology* ; Electric Stimulation/instrumentation* ; Cell Adhesion ; Cell Proliferation ; Surface Properties ; Cell Differentiation ; Nanotechnology

ObjectiveTo explore the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements of macroangiopathy in patients with type 2 diabetes mellitus （T2DM） and the key elements of occurrence， development and progression of disease. MethodsA multicenter cross-sectional study was conducted to enroll 445 T2DM patients from five hospitals， and according to the presence or absence of macroangiopathy， the patients were divided into a T2DM group （120 cases） and a diabetic macroangiopathy （DM） group （325 cases）. Patients in DM group were divided into grade Ⅰ， Ⅱ， Ⅲ and Ⅳ according to the peripheral vascular color Doppler ultrasound results and the vascular anomalies classification standard. The general data including gender， age， duration of T2DM and body mass index （BMI） were collected， and the data of four examinations were obtained for syndrome differentiation. According to the diagnostic criteria of TCM syndrome elements， the patients can be divided into 9 patterns including qi deficiency， blood deficiency， yin deficiency， yang deficiency， qi stagnation， blood stasis， excess heat， and excess cold. The general data and distribution of TCM syndrome elements were compared between the two groups. The distribution of TCM syndrome elements in different vascular anomalies grades in the DM group was analyzed. Logistic regression analysis was used to explore the influence of various TCM syndrome elements on the occurrence of macroangiopathy in T2DM. ResultsThere was no significant difference in gender and BMI between groups （P＞0.05）. The age and duration of diabetes in the DM group were older and longer than those in the T2DM group （P＜0.01）. With the increase of age and prolonged course of disease， the severity of diabetic macroangiopathy increases gradually （P＜0.05 or P＜0.01）. There was no significant difference in BMI and course of disease among the different TCM syndrome elements （P＞0.05）. The average age of patients with blood stasis syndrome was the oldest （P＜0.05）. There was significant difference in gender distribution between the excess heat syndrome and yin deficiency syndrome （P＜0.05）. A total of 240 TCM syndrome elements were extracted from the T2DM group， while 731 TCM syndrome elements extracted from the DM group. The top two high-frequency syndrome elements in the two groups were qi deficiency and yin deficiency， with a frequency of larger than 50%. The distribution of phlegm-damp syndrome and blood-stasis syndrome were significantly higher in the DM group than in the T2DM group （P＜0.01）. There were significant differences in the distribution of qi deficiency syndrome， yin deficiency syndrome， phlegm-damp syndrome， blood stasis syndrome， and excess heat syndrome among different grades of vascular anomalies （P＜0.01）； qi deficiency and yin deficiency were both high-frequency TCM syndrome elements in patients at grades 0 to Ⅲ； phlegm-damp syndrome increased in frequency with the progression of the disease from grades 0 to Ⅳ， and the frequency of blood stasis syndrome showed an overall upward trend. The frequency of phlegm-dampness syndrome increased from grades 0 to Ⅳ with the progression of the disease， and the frequency of blood stasis syndrome showed an overall upward trend. Logistic regression analysis showed that phlegm-damp syndrome and blood stasis syndrome were important TCM syndrome elements related to the vascular anomalies degree of macrovascular disease in T2DM （P＜0.05 or P＜0.01）. ConclusionQi deficiency and yin deficiency are the basic TCM syndrome elements throughout the whole process of T2DM and diabetic macrovascular disease. Phlegm-damp and blood stasis are related to the degree of vascular anomalies in diabetic macrovascular disease and are the key TCM syndrome elements in the progression of macroangiopathy in T2DM.

BACKGROUND:The pedicle navigation template has many advantages,but there are still some problems.For example,poor soft tissue dissection leads to poor adhesion of the pedicle navigation template,resulting in screw path deviation;careful dissection of soft tissue to fit the pedicle navigation template leads to prolonged surgery time and increased bleeding;the design of the pedicle navigation template cannot predict the vertebral rotation and the impact of body position changes,resulting in the poor fitting. OBJECTIVE:To explore the utility of a new 5-point positioning point-contact pedicle navigation template in the case of scoliosis and complex pedicle. METHODS:A total of 20 patients with scoliosis and complicated pedicle admitted to the Department of Spinal Surgery,Guizhou Hospital,Beijing Jishuitan Hospital from February 2020 to February 2023 were selected for scoliosis orthopedics.During the operation,the 5-point positioning point-contact pedicle navigation template was used to guide the screws.According to the inclusion and exclusion criteria,34 cases were matched as the empirical nail placement group,and conventional barehanded nail placement was performed.The time of placement,the amount of bleeding,the number of fluoroscopies,the number of manual diversions,the level and accuracy of pedicle screws,the complications of placement,and the rate of correction of main curvature were compared between the two groups. RESULTS AND CONCLUSION:(1)There were no significant differences in sex,age,coronal Cobb's angle of the main curvature,bending Cobb's angle of the main curvature,pedicle variation,apex rotation,fusion segment,number of screws,level of screws,accuracy of screws,and rate of correction of main curvature between the navigation template group and the empirical nail placement group(P>0.05).(2)Compared with the empirical nail placement group,the navigation template group had more advantages in time of placement(P=0.034),amount of bleeding(P=0.036),number of fluoroscopies(P=0.000)and number of manual diversions(P=0.021).(3)There were 0 cases of screw-related complications in both groups.(4)In conclusion,the 5-point positioning point-contact 3D printing pedicle navigation template has a claw-like structure.It can firmly adapt to various deformities of the lamina articular process,avoid drift,and accurately place the screws.It has a point-like contact lamina structure to avoid extensive and complete dissection of the posterior structure,and reduce bleeding,operation time,and trauma.Pre-designed screw entry points and directions can reduce the number of fluoroscopy and operation time.Segmental design can avoid discomfort due to changes in anesthesia position.The operation is simple and the accuracy of screw placement is high.

Objective To investigate the pathological damage to and inflammation of different intestinal segments in a rat model of severe hemorrhage,and to explore the effect of polarization of intestinal macrophage on the pathophysiology of intestinal inflammation.Methods Male Wistar rats were randomly divided into two groups:the sham operation group and hemorrhage group.In the hemorrhage group,40％of the total blood volume was lost in 25-30 minutes,while in the sham operation group,only the femoral artery and vein were intubated without bleeding.The rats were killed at 0,3,6,12 and 24 hours.The entire intestine was isolated quickly,and sections of the intestine were cut at the duodenum,jejunum,ileocecal junction,colon and rectum for histopathological evaluation.ELISA was adopted to determine related inflammation factors while multi-color immunohistochemistry was used to calculate macrophage surface markers.The data was statistically analyzed.Results(1)Compared with the sham group,there was no significant difference in colon histology at 3 h and 6 h,but significant difference was detected in rectum scores only at 24 h.The scores of other intestinal segments were significantly different at each time point.The severity of ileocecal and colonic lesions after bleeding increased with time.The duodenum,jejunum and ileocecum were more critically injured at 3 h than the rectum at 6 h.The injury to the duodenum,jejunum,ileum and colon was much more pronounced than to the rectum at 12 h.(2)The expressions of TNF-α and IL-1β in the rectum were increased significantly at 12 h post operation.The expressions of IL-1β,TNF-α in the jejunum increased obviously at 3 h and 6 h,respectively.(3)Three hours after severe bleeding,the level of macrophages in the jejunum and ileocececal area increased significantly,and the percentage of M1 macrophages was higher.After 6 hours,the proportion of M2 macrophages in the jejunum and M1 macrophages decreased significantly.After 3 hours,the percentage of M1 macrophages in the colon decreased,but that of M2 macrophages increased.The proportion of M2 polarized macrophages in the duodenum and rectum increased at 3 h after severe bleeding but decreased at 6 h.Conclusion Pathological damage to intestinal sections after bleeding varies depending on the time,and is correlated with the inflammatory level of macrophages.

Objective To explore the risk factors of anal fistula after incision and drainage surgery for perianal abscess,and establish an individualized predictive nomogram model.Methods A retrospective analysis was conducted on the clinical data of 224 patients with perianal abscess who underwent incision and drainage surgery in Affiliated Hospital of Shanxi University of Chinese Medicine from May 2020 to January 2023,according to whether anal fistula occurred within 3 months after surgery,there were 169 cases in the non anal fistula group and 55 cases in the anal fistula group.Single factor method and multivariate Logistic regression analysis were applied to analyze the influencing factors of anal fistula after incision and drainage of perianal abscess,a nomogram risk model was constructed using independent risk factors to predict the occurrence of anal fistula after incision and drainage of perianal abscess,and the consistency and differentiation of the model were verified.Results The proportions of male,diabetes,deep abscesses,intestinal origin of pathogenic bacteria,and abscesses in anal fistula group were higher than those in non anal fistula group(P＜0.05).Male,diabetes,deep abscess,intestinal origin of pathogenic bacteria,and history of abscess were independent risk factors for anal fistula after incision and drainage of perianal abscess(P＜0.05).The ideal curve of the nomogram model fitted well with the correction curve,indicated that the measured values were basically consistent with the predicted values.The area under the receiver operating characteristic(ROC)curve was 0.946(95％CI=0.914-0.979),indicated that the column plot model has good predictive discrimination.Conclusion The independent risk factors for anal fistula after incision and drainage surgery of perianal abscess include male,diabetes,deep abscess,intestinal origin of pathogenic bacteria,and history of abscess.The construction of related nomogram model can guide clinical screening of high-risk groups to a certain extent.

Objective To explore the risk factors associated with cardiac valve calcification(CVC)in main-tenance hemodialysis patients and its effect on long-term prognosis.Methods A total of 157 patients with ma-intenance hemodialysis who underwent echocardiography in the hospital from January 1,2016 to January 1,2018 were retrospectively analyzed.The subjects were divided into 101 cases in non-CVC group and 56 cases in CVC group according to the results of cardiac ultrasound examination,and the clinical data were compared be-tween the two groups.Multivariate Logistic regression model was used to analyze the risk factors of CVC in maintenance hemodialysis patients.Kaplan-Meier survival curve and Cox regression model were used to ana-lyze the relationship between CVC and all-cause death in maintenance hemodialysis patients.Results The dia-betes history ratio,triglyceride,serum corrected calcium,serum phosphorus and C-reactive protein(CRP)lev-els in CVC group were higher than those in non-CVC group,and the serum albumin level was lower than that in non-CVC group,with statistical significance(P＜0.05).CRP,diabetes history,serum albumin＜35 g/L,serum corrected calcium＞2.35 mmol/L and high serum phosphorus were independent risk factors for CVC in maintenance hemodialysis patients(P＜0.05).CVC,age,serum albumin＜35 g/L and high serum phos-phorus were independent risk factors for all-cause death in maintenance hemodialysis patients(P＜0.05).Conclusion CRP,diabetes history,serum albumin＜35 g/L,serum corrected calcium and high serum phos-phorus are closely related to the occurrence of CVC in maintenance hemodialysis patients,and CVC,age,ser-um albumin＜35 g/L and high serum phosphorus are correlated with long-term all-cause death in mainte-nance hemodialysis patients.

Objective To construct and validate a risk prediction model for poor inhalation in chronic obstructive pulmonary disease(COPD)patients receiving inhaler therapy,providing a decision support tool for personalized prevention of poor inhalation.Methods A cross-sectional study was conducted to collect data related to COPD patients receiving inhaler therapy,forming a dataset.The dataset was randomly divided into a training set and a test set in a ratio of 4∶1.Four different methods for missing value imputation,3 methods for variable feature selection,and 18 machine learning algorithms were employed to successfully construct 216 models on the training set.The monte carlo simulation method was used for resampling in the test set to validate the models,with the area under curve(AUC),accuracy,precision,recall,and F1 score used to evaluate model performance.The optimal model was selected to build the poor inhalation prediction platform.Results A study involving 308 patients with COPD found that 135(43.8%)were at risk of adverse inhalation.Using 33 predictor variables,216 risk prediction models were developed.Of these models,the ensemble learning algorithm yielded the highest average AUC of 0.844,with a standard deviation of 0.058[95%CI=(0.843,0.845)].The differences in predictive performance among the 216 models were statistically significant(P＜0.01).Under the ensemble learning algorithm,adherence to inhaler use(38.087 4%),inhaler satisfaction(25.680 1%),literacy(24.031 3%),number of inhalers(5.482 3%),age(4.204 5%)and number of acute exacerbations in the past year(2.184 7%)contributed most to the predictive model.The model exhibited superior performance,with an AUC of 0.869 3,an accuracy of 83.87%,a precision of 86.96%,a recall of 74.07%,and an F1 score of 0.8.Conclusion This study has developed a predictive model for poor inhalation risk in COPD inhaler therapy patients using machine learning algorithms,which exhibits strong predictive capabilities and holds potential clinical application value.

Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.