Objective To systematically evaluate the predictive models for re-admission in patients with heart failure (HF) in China. Methods Studies related to the risk prediction model for HF patient re-admission published in The Cochrane Library, PubMed, EMbase, CNKI, and other databases were searched from their inception to April 30, 2024. The prediction model risk of bias assessment tool was used to assess the risk of bias and applicability of the included literature, relevant data were extracted to evaluate the model quality. Results Nineteen studies were included, involving a total of 38 predictive models for HF patient re-admission. Comorbidities such as diabetes, N-terminal pro B-type natriuretic peptide/brain natriuretic peptide, chronic renal insufficiency, left ventricular ejection fraction, New York Heart Association cardiac function classification, and medication adherence were identified as primary predictors. The area under the receiver operating characteristic curve ranged from 0.547 to 0.962. Thirteen studies conducted internal validation, one study conducted external validation, and five studies performed both internal and external validation. Seventeen studies evaluated model calibration, while five studies assessed clinical feasibility. The presentation of the models was primarily in the form of nomograms. All studies had a high overall risk of bias. Conclusion Most predictive models for HF patient re-admission in China demonstrate good discrimination and calibration. However, the overall research quality is suboptimal. There is a need to externally validate and calibrate existing models and develop more stable and clinically applicable predictive models to assess the risk of HF patient re-admission and identify relevant patients for early intervention.

BACKGROUND:As a leading technique in the treatment of primary stenosis by posterior spinal endoscopy through unilateral approach and bilateral decompression using single channel endoscopy,the long-term efficacy needs to be further observed.There are few reports on the scope of intraoperative resection and few relevant studies on biomechanics and finite element analysis. OBJECTIVE:A three-dimensional finite element model was established to evaluate the effects of bilateral lumbar canal decompression under a one-hole split endoscope on lumbar range of motion and intradiscal pressure,to provide suggestions for clinical operation and theoretical basis for further clinical research. METHODS:A complete L3-L5 vertebral body model was reconstructed by CT images of nine healthy volunteers,which was used as the preoperative model M1.The simulated surgical resection range of L4-L5 was performed,and 1/4,1/3 and 1/2 of bilateral facet joints were removed respectively to obtain models M2,M3 and M4.The range of motion and the maximum Von Mises stress of the four models were compared in the six directions of forward bending,backward extension,left and right bending,and left and right rotation. RESULTS AND CONCLUSION:(1)The L3-L5 finite element model established in this study was effective,and the range of motion was within the range of previous solid studies under six motion states.(2)Compared with the M1 model,the L4-L5 lumbar spine range of motion increased with the increase of resection range in M2 with M3 and M4 models under forward bending,left and right bending and left and right rotation loading,and the difference was significant(P＜0.05).Under posterior extension loading,there was no significant difference in lumbar range of motion between M1 and M2(P＞0.05),but there was a significant difference of M1,M3 and M4(P＜0.05).(3)The range of motion of the L3-L4 lumbar spine had no significant change with the increase of bilateral facet arthrotomy(P＞0.05).(4)There was a significant difference in the maximum value of L4-L5 Von Mises between M1 and M2(P＜0.05),and there was a significant difference in the maximum value of L4-L5 Von Mises between M1 and M3,M4(P＜0.01),and the maximum value of L4-L5 lumbar von Mises increased with the increasing range of bilateral facet joint resection.Resection of more than 1/3 was particularly obvious.(5)The maximum value of Von Mises in the L3-L4 lumbar spine was increased with the increase of the resection range under forward bending,left and right bending and left and right rotation loading and the difference was significant(P＜0.05).(6)The results exhibited that the L4-L5 lumbar motion and intervertebral disc pressure increased with the increase of the excision range.Intervertebral disc pressure at L3-L4 increased with the increased extent of excision,but the lumbar range of motion was not significantly affected.In conclusion,the stability of the operative segment may be affected by the increase in the scope of facet joint resection.Although the immediate stability of adjacent segments is not affected,it may accelerate disc degeneration.

Objective To build a knowledge graph;To visualize the knowledge structure relationships and clinical thinking in the treatment of coronary heart disease by renowned TCM doctors;To provide methodological reference for the inheritance of experience of renowned TCM doctors.Methods Medical records about treatment of coronary heart disease by renowned TCM doctors were retrieved from CNKI from the establishment of the database to 30th,Nov.2022.The characteristics of TCM diagnosis and treatment and the characteristics of the theoretical system of syndrome differentiation and treatment in TCM were analyzed.Concept types and relationships between concepts were sorted out and extracted to form a pattern layer of knowledge graph;based on the characteristics of the pattern layer,Python 3.11(PyCharm 2022.3.2)was used to write rules,and knowledge extraction and data import were implemented through the Pandas library,Openpyxl library and Py2neo library,which were stored in the graph database Neo4j-Community-5.2.0 to complete the construction of the knowledge graph.Implementing query application was realized through Cypher language.Results The data of 643 medical cases of 144 renowned TCM doctors were included,which were entered into the Neo4j graph database,forming a knowledge graph consisting of 2 744 nodes and 23 795 relationships under 8 concepts and 10 relationships,to achieve visual presentation and query application of the diagnosis and treatment process of coronary heart disease by renowned TCM doctors.Conclusion The knowledge graph can intuitively display the relationship of diseases-symptoms-syndromes-treatments-prescriptions-medicine in medical records,develop a knowledge system that is easy to retrieve,and improve the accessibility of domain knowledge,which can provide methodological reference for the inheritance of experience of renowned TCM doctors.

Objective:To investigate the value of dual-detector spectral CTA in distinguishing infarct core from penumbra in patients with acute ischemic stroke(AIS), and to further explore the risk factors associated with infarct core and their predictive value.Methods:The imaging and clinical data of 163 patients with AIS who met the inclusion criteria admitted to the Second Affiliated Hospital of Soochow University from March 2022 to May 2023 were retrospectively analyzed. Patients from March 2022 to December 2022 were used as the training group, and patients from January 2023 to May 2023 were used as the validation group for internal validation. The head and neck spectral CTA and brain CT perfusion imaging with dual-layer detector spectral CT were all carried out on all patients. Using CTP as reference, the patients were divided into infarct core group and non-infarct core group according to whether an infarct core occurred in the hypoperfusion regions of brain tissue. Multivariate logistic regression analysis was used to screen predictors related to the infarct core. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy.Results:A total of 163 patients were included in the study, including 112 in the training group and 51 in the validation group. There were significant differences in iodine density, effective atomic number, hypertension, triglyceride and neutrophils between the two groups ( P< 0.05). The cutoff values for iodine density values and effective atomic number values were 0.215 mg/mL and 7.405, respectively. Multivariate logistic regression analysis showed that iodine density and hypertension were independent risk factors for infarct core in AIS, and triglyceride was an independent protective factor. The area under the ROC curve (AUC) of iodine density value was the largest (0.859), with a sensitivity of 70.27%, and a specificity of 90.67%, which had a good predictive value. The ROC curve analysis results for the validation group were consistent with the training group. Conclusions:Spectral CT parameters iodine density values and effective atomic number values have the potential to distinguish the infarct core area from the penumbra area in patients with AIS. Iodine density and hypertension were independent risk factors of infarct core in AIS, triglyceride was an independent protective factor, and iodine density values obtained by dual-layer spectral detector CT had a high predictive value.

Objective:To investigate the predictive value of clinical factor model, deep learning model based on baseline plain CT images, and combination of both for predicting hematoma expansion in cerebral hemorrhage.Methods:The study was cross-sectional. Totally 471 cerebral hemorrhage patients who were firstly diagnosed in the Second Affiliated Hospital of Soochow University from January 2017 to December 2021 were collected retrospectively. These patients were randomly divided into a training dataset ( n=330) and a validation dataset ( n=141) at a ratio of 7∶3 by using the random function. All patients underwent two noncontrast CT examinations within 24 h and an increase in hematoma volume of >33% or an absolute increase in hematoma volume of >6 ml was considered hematoma enlargement. According to the presence or absence of hematoma enlargement, all patients were divided into hematoma enlargement group and hematoma non-enlargement group.Two-sample t test, Mann-Whitney U test or χ2 test were used for univariate analysis. The factors with statistically significant differences were included in multivariate logistic regression analysis, and independent influences related to hematoma enlargement were screened out to establish a clinical factor model. ITK-SNAP software was applied to manually label and segment the cerebral hemorrhage lesions on plain CT images to train and build a deep learning model based on ResNet50 architecture. A combination model for predicting hematoma expansion in cerebral hemorrhage was established by combining independent clinical influences with deep learning scores. The value of the clinical factor model, the deep learning model, and the combination model for predicting hematoma expansion in cerebral hemorrhage was evaluated using receiver operating characteristic (ROC) curves and decision curves in the training and validation datasets. Results:Among 471 cerebral hemorrhage patients, 136 cases were in the hematoma enlargement group and 335 cases were in the hematoma non-enlargement group. Regression analyses showed that male ( OR=1.790, 95% CI 1.136-2.819, P=0.012), time of occurrence ( OR=0.812, 95% CI 0.702-0.939, P=0.005), history of oral anticoagulants ( OR=2.157, 95% CI 1.100-4.229, P=0.025), admission Glasgow Coma Scale score ( OR=0.866, 95% CI 0.807-0.929, P<0.001) and red blood cell distribution width ( OR=1.045, 95% CI 1.010-1.081, P=0.011) were the independent factors for predicting hematoma expansion in cerebral hemorrhage. ROC curve analysis showed that in the training dataset, the area under the curve (AUC) of clinical factor model, deep learning model and combination model were 0.688 (95% CI 0.635-0.738), 0.695 (95% CI 0.642-0.744) and 0.747 (95% CI 0.697-0.793) respectively. The AUC of the combination model was better than that of the clinical model ( Z=0.54, P=0.011) and the deep learning model ( Z=2.44, P=0.015). In the validation dataset, the AUC of clinical factor model, deep learning model and combination model were 0.687 (95% CI 0.604-0.763), 0.683 (95% CI 0.599-0.759) and 0.736 (95% CI 0.655-0.806) respectively, with no statistical significance. Decision curves showed that the combination model had the highest net benefit rate and strong clinical practicability. Conclusions:Both the deep learning model and the clinical factor model established in this study have some predictive value for hematoma expansion in cerebral hemorrhage; the combination model established by the two together has the highest predictive value and can be applied to predict hematoma expansion.

Objective:To investigate the iodine nutrition status of children aged 8 to 10 years old in Nanchang City.Methods:From March 2020 to September 2022, 9 counties (districts, administration bureau) in Nanchang City were selected as monitoring points. Each monitoring point was divided into 5 sampling areas according to the east, west, south, north, and middle directions. One township was selected from each area, and 40 non-boarding children aged 8 to 10 years old (age balanced, half male and half female) from one primary school were selected as survey subjects. Edible salt samples from children's homes, as well as a random urine sample were collected to detect salt iodine and urinary iodine level. The thyroid volume of children was also measured.Results:From 2020 to 2022, a total of 5 400 edible salt samples from children's homes were tested, with a median salt iodine level of 24.13 mg/kg. Among them, there were 5 172 qualified iodized salt samples, 168 unqualified iodized salt samples, and 60 non-iodized salt samples. The coverage rate of iodized salt was 98.89% (5 340/5 400), the qualified rate of iodized salt was 96.85% (5 172/5 340), and the consumption rate of qualified iodized salt was 95.78% (5 172/5 400). A total of 5 400 children's urine samples were tested, with a median urinary iodine level of 210.90 μg/L. A total of 2 662 children were examined for thyroid, of which 4 had thyroid enlargement, with an enlargement rate of 0.15% (4/2 662).Conclusion:The overall iodine nutrition of children aged 8 to 10 years old in Nanchang City is at a super appropriate level, and the thyroid enlargement rate meets the national standard (< 5%).

Objective:To explore the relationship between intolerance of uncertainty and internet addiction among college students, as well as the mediating roles of negative cognitive bias and difficulties in emotion regulation.Methods:In September 2022, 1 762 college students were assessed with intolerance uncertainty scale, negative cognitive process bias questionnaire, difficulties in emotion regulation scale and internet addiction test. SPSS 24.0 software was used for descriptive statistics and correlation analysis. AMOS 23.0 was used to construct a multiple mediation model, and Bootstrap method was used for mediation effects testing.Results:(1) The score of intolerance of uncertainty was 34.00 (28.00, 40.00), the score of negative cognitive bias was 42.00 (34.00, 50.00), the score of difficulties in emotion regulation was 26.00 (20.00, 32.00), and the score of internet addiction was 36.00 (28.00, 46.00). (2)The Spearman correlation analysis showed that intolerance of uncertainty, negative cognitive bias, difficulties in emotion regulation, and internet addiction were significantly positively correlated with each other ( r=0.343-0.626, P<0.01). (3) The results of the path analysis indicated that the direct effect of intolerance of uncentainty on internet addiction was not significant, and the total indirect effect was 0.402(95% CI=0.354-0.451).The indirect effect of negative cognitive bias was 0.253(95% CI=0.200-0.305), accounted for 62.94%(0.253/0.402) of the total indirect effect.The indirect effect of difficulties in emotion regulation was 0.052 (95% CI=0.033-0.076), accounted for 12.93%(0.052/0.402) of the total indirect effect.And the chain mediating effect of negative cognitive bias and difficulties in emotion regulation was 0.097(95% CI=0.068-0.131), accounted for 24.13%(0.097/0.402) of the total indirect effect. Conclusion:Intolerance of uncertainty is significantly positively correlated with internet addiction, and its effects on internet addiction are individually mediated by negative cognitive bias and difficulties in emotion regulation, as well as their chain mediating effects.

Objectives:To explore the early clinical efficacies of unilateral decompression and bilateral decompression by one-hole split endoscope(OSE)technique for moderate-severe lumbar spinal stenosis(LSS)with unilateral symptoms amongst middle aged and elderly people.Methods:A retrospective analysis was performed on the patients with moderate-severe LSS who underwent unilateral decompression and bilateral decompression using OSE technique between January 2021 and December 2021.According to the inclusion and exclusion criteria,a total of 120 patients were enrolled in this study,with 60 patients in the unilateral decompression group(group A)and 60 patients in the bilateral decompression group(group B).The length of hospitalization,operative time,incision length and intraoperative blood loss were counted and compared between group A and group B.Moreover,range of motion(ROM)and sagittal translation(ST)on lumbar dynamic X-ray,facet preservation rate on the approach side,and cross-sectional area of the canal(CAC)of the surgical segment before and after operation were recorded and compared.The visual analogue scale(VAS)of back and leg pain was used before surgery,and at 7 days,3 months and 18 months after surgery,the Oswestry disability index(ODI)was used to evaluate the functional improvement,and the clinical efficacy was evaluated by modified Macnab criteria at the last follow-up.All the clinical scores of both groups were analyzed and compared between before and after surgery.Results:All the patients underwent surgical inter-vention successfully.There was no statistical significance in the length of hospitalization between groups A and B(P＞0.05),but group B was longer in operative time,bigger in incision,and more in blood loss than group A,with statistical significance(P＜0.05).The VAS for back and leg pain and the ODI after operation in both groups were all significantly lower than those before surgery,respectively(P＜0.05),and the values at each postoperative time point within group were significantly different when compared pairwise(P＜0.05);There was no significant difference between the two groups before surgery(P＞0.05),but group B had more significant improvement than group A at 7 days,3 months and 18 months after surgery(P＜0.05).There was no statistical significance in ST and ROM of surgical segment before and after surgery between the two groups(P＞0.05).The postoperative facet preservation rate was higher in group B than in group A(P＜0.05).There was no sig-nificant difference in the CAC of the surgery segment before operation between the two groups(P＞0.05),how-ever,the CAC of the surgical segment in group B was larger than that in group A(P＜0.05).The rate of im-provement in CAC was higher in group B than in group A(P＜0.05).The CAC of the surgical segment postop-eratively in both groups were significantly larger than before surgery,with statistical significance(P＜0.05).Ex-cellent-good rate at 18 months after surgery was 86.7％in group A and 91.7％in group B.There was no significant difference in the number of excellent and good cases between the two groups at 18 months after operation(P＞0.05).One patient in group A had numbness and discomfort in the lower limb on the healthy side after surgery,and one case with mild dural tear in group B.Conclusions:Both unilateral decompression and bilateral decompression under OSE are safe and effective in the treatment of moderate and severe central canal and bilateral lateral recess stenosis with unilateral symptoms in the middle-aged and elderly people,with definite early clinical efficacy.Bilateral decompression is more complete and better in clinical efficacy than unilateral decompression,but further follow-up is required in the long term.

The robustness of sliding mode control is utilized to improve the adaptability of the control system to changes in vascular mechanical properties of different patients.Adaptive sliding mode control is designed to adapt the controller to the needs of different virtual environment simulations through an adaptive mechanism,thereby weakening the chattering of sliding mode control.The extrapolation prediction algorithm is invoked under the adaptive sliding mode control to reduce the effects of delay on the control and improve force feedback transparency.The experimental results demonstrate that adaptive sliding mode predictive control can enhance system stability,force feedback control accuracy,and fidelity of force feedback control system for flexible surgical instruments.The study has important theoretical significance and practical value for the design of systems with flexible control objects and the improvement of force feedback fidelity.

Objective To compare the predictive values of swirl sign and black hole sign on CT scanning in early hematoma expansion in spontaneous intracerebral hemorrhage (SICH) patients.Methods Two hundred and ten firstly diagnosed SICH patients,admitted to our hospital from January 2012 to December 2018,were enrolled in the study.All patients were divided into hematoma expansion and non-hematoma expansion group according to whether early hematoma expansion appeared;and they were also divided into positive imaging sign group and negative imaging sign group according to whether imaging signs appeared;the clinical and imaging data were compared between these groups,respectively.The accuracies of swirl sign and black hole sign in predicting early hematoma expansion were analyzed using receiver operator characteristic (ROC) curve.Multivariate Logistic regression analysis was performed to determine the independent risk factors for early hematoma expansion.Results (1) In the 57 patients with early hematoma expansion,21 (36.8％) had swirl sign,and 17 (29.8％) had black hole sign;in the 153 patients without hematoma expansion,12 (7.8％) had swirl sign and 22 (14.4％) had black hole sign;the differences between the two groups were statistically significant (P＜0.05).As compared with those in the non-hematoma expansion group,the admission systolic blood pressure increased significantly and number of patients with intraventricular hemorrhage was significantly larger in the hematoma expansion group (P＜0.05).(2) There were no statistical differences in clinical and imaging data between the patients with swirl sign (n=33) and patients without swirl sign (n=177,P＞0.05);the hematoma volume in patients with black hole sign (n=39) was significantly increased as compared with that in patients without black hole sign (n=171,P＜0.05),and there were no statistical differences in other clinical and imaging data between patients with and without black hole sign (P＞0.05).(3) The areas under ROC curve of swirl sign,black hole sign,and "swirl sign combined with black hole sign" were 0.645,0.577,and 0.570,respectively.(4) Multivariate Logistic regression analysis showed that admission systolic blood pressure,swirl sign and black hole sign were independent risk factors for early hematoma expansion (P＜0.05).Conclusion In comparison to black hole sign and "swirl sign combined with black hole sign",the swirl sign has higher predictive value in early hematoma expansion in ICH patients.