Objective To explore the efficiency of artificial intelligence and radiomics-assisted X-ray in diagnosis of lumbar osteoporotic vertebral compression fractures(OVCF).Methods The clinical data of 455 patients diagnosed as lumbar OVCF by MRI in our hospital were selected.The patients were divided into the training group(n=364)and the validation group(n=91),X-ray films were extracted,the image delineation,feature extraction and data analysis were carried out,and the artificial intelligence radiomics deep learning was applied to establish a diagnostic model for OVCF.After verifying the effectiveness of the model by receiver operating characteristic(ROC)curve,area under the curve(AUC),calibration curve,and decision curve analysis(DCA),the efficiencies of manual reading,model reading,and model-assisted manual reading of X-ray in the early diagnosis of OVCF were compared.Results The ROC curve,AUC and calibration curve proved that the model had good discrimination and calibration,and excellent diagnostic performance.DCA demonstrated that the model had a higher clinical net benefit.The diagnostic efficiency of the manual reading group:the accuracy rate was 0.89,the recall rate was 0.62.The diagnostic efficiency of the model reading group:the accuracy rate was 0.93,the recall rate was 0.86,the model diagnosis showed good predictive performance,which was significantly better than the manual reading group.The diagnostic efficiency of the model-assisted manual reading group:the accuracy rate was 0.92,the recall rate was 0.72,and the recall rate of the model-assisted manual reading group was higher than that of the manual reading group,but lower than that of the model reading group,indicating the superiority of the model diagnosis.Conclusion The diagnostic model established based on artificial intelligence and radiomics in this study has reached an ideal level of efficacy,with better diagnostic efficacy compared with manual reading,and can be used to assist X-ray in the early diagnosis of OVCF.

Objective To develop a clinical prediction model for predicting risk factors for prolonged hospital stay after anterior cervical discectomy and fusion(ACDF).Methods The clinical data of 914 patients underwent ACDF treatment for cervical spondylotic myelopathy(CSM)were retrospectively analyzed.According to the screening criteria,800 eligible patients were eventually included,and the patients were divided into the development cohort(n=560)and the validation cohort(n=240).LASSO regression was used to screen variables,and multivariate Logistic regression analysis was used to establish a prediction model.The prediction model was evaluated from three aspects:differentiation,calibration and clinical effectiveness.The performance of the model was evaluated by area under the curve(AUC)and Hosmer-Lemeshow test.Decision curve analysis(DCA)was used to evaluate the clinical effectiveness of the model.Results In this study,the five factors that were significantly associated with prolonged hospital stay were male,abnormal BMI,mild-to-moderate anemia,stage of surgery(morning,afternoon,evening),and alcohol consumption history.The AUC of the development cohort was 0.778(95%CI:0.740 to 0.816),with a cutoff value of 0.337,and that of the validation cohort was 0.748(95%CI:0.687 to 0.809),with a cutoff value of 0.169,indicating that the prediction model had good differentiation.At the same time,the Hosmer-Lemeshow test showed that the model had a good calibration degree,and the DCA proved that it was effective in clinical application.Conclusion The prediction model established in this study has excellent comprehensive performance,which can better predict the risk of prolonged hospital stay,and can guide clinical intervention as soon as possible,so as to minimize the postoperative hospital stay and reduce the cost of hospitalization.

Objective To explore the risk factors for surgical site infection(SSI)after transforaminal lumbar interbody fusion(TLIF)for the treatment of lumbar degenerative diseases.Methods A total of 1 000 patients who underwent TLIF for lumbar degenerative diseases in our hospital were included and divided into the infection group(n=23)and the non-infection group(n=977)according to whether the surgical incision was infected.General data,surgical and laboratory indicators of patients were collected,and potential risk factors of SSI were screened by univariate analysis and multivariate regression analysis,a nomogram model was established,and its predictive efficiency was validated by the receive operating characteristic(ROC)curve.Results The incidence of SSI in patients after TLIF was 2.3％.The results of univariate analysis showed that age,operative time,intraoperative blood loss,preoperative C-reactive protein(CRP),smoking,and diabetes mellitus were the significant risk factors for the occurrence of SSI.Multivariate regression analysis showed that older age,longer operation time,more intraoperative blood loss,smoking and diabetes mellitus were the independent risk factors for postoperative SSI.ROC curve showed that the nomogram model established in this study has good predictive efficiency.Conclusion Older age,longer operation time,more intraoperative blood loss,smoking,and diabetes mellitus were independent risk factors for postoperative SSI.For patients with these high risk factors,corresponding intervention measures should be taken before operation to reduce the incidence of SSI.

To evaluate the effectiveness and safety of implantable D-shant atrial shunt device in patients with severe pulmonary arterial hypertension(PAH)and right heart failure.A 53-year-old female patient diagnosed with severe idiopathic PAH and right heart failure,her WHO FC grade was Ⅳ.The right heart catheter and implantation of D-shant atrial shunt device were performed under local anesthesia on November 30,2021.A 6 mm×4 cm peripheral artery balloon was selected to dilate the atrial septum and a D-shant atrial shunt device with a fixed 4 mm diameter orifice was implanted into the heart.The clinical symptoms and hemodynamics of the patient was improved after the intervention.Implantation of atrial shunt device as a palliative therapy to established a right to left shunt is another strategy for treating patients with severe PAH in late period,which has good effectiveness and safety.It could be the last replacement therapy to improve symptoms and prolonged lives to drug resistant and severe PAH patients.

Objective:To retrieve, evaluate, and integrate the best evidence for the management of neurogenic bowel dysfunction (NBD) in spinal cord injury patients both domestically and internationally, providing a basis for relevant evidence-based practices.Methods:The guidelines, expert consensus, clinical decision-making, and systematic review of NBD management for spinal cord injury patients were electronically searched in various databases and professional association websites at home and abroad. The search period was from database establishment to March 31, 2023.Results:A total of 13 articles were included, including five guidelines, five evidence summaries, two expert consensus, and one clinical decision-making. A total of 33 recommendations for NBD management in spinal cord injury patients were summarized from five aspects of medical history assessment, medication management, physical therapy, diet and exercise, and health education.Conclusions:The best evidence for NBD management in spinal cord injury patients summarized is scientific and practical. Medical and nursing staff should selectively apply the best evidence based on clinical practice.

Objective To construct and apply a management plan for microaspiration of oropharyngeal secretions in ICU intubated patients.Methods Based on evidence summaries and expert consultation,a management plan for microaspiration of oropharyngeal secretions in ICU intubated patients was constructed,consisting of 19 items covering 7 aspects including identification of risk factors,position management,tube and cuff selection,cuff management,mechanical ventilation management,pain and sedation management,removal of oropharyngeal and subglottic secretions,and oral care.Convenience sampling was used to select 141 ICU intubated patients from a tertiary A comprehensive hospital in Suzhou from June,2022 to September,2023.Patients were divided into an experimental group(n=72)and a control group(n=69)according to the wards.The experimental group received the management plan for microaspiration of oropharyngeal secretions in ICU intubated patients.The control group received the nursing bundle for ventilator associated pneumonia(VAP).The incidence and time from intubation to microaspiration and VAP,duration of mechanical ventilation,ICU length of stay,and disease outcome were compared between the 2 groups.Results The incidence of microaspiration of oropharyngeal secretions,the duration of mechanical ventilation,time from intubation to microaspiration showed significant differences between the 2 groups(P<0.05).There were no significant differences in the incidence of ventilator associated pneumonia,ICU length of stay,and disease outcome between the 2 groups(P>0.05).The time from intubation to VAP in the experimental group was 7.5 days,and that in the control group was 3.8 days.Conclusion The application of the management plan for microaspiration of orophaiyngeal secretions in ICU intubated patients is beneficial for reducing the incidence of microaspiration,delaying the time from intubation to microaspiration and VAP,and shortening the duration of mechanical ventilation.

Objective:To explore the risk factors for duodenal papillary adenocarcinoma by comparing the differences in clinical and endoscopic features between patients with duodenal papillary adenomas and adenocarcinomas.Methods:This study retrospectively included patients diagnosed as having duodenal papillary adenocarcinoma and adenoma from January 1st 2018 to June 1st 2023 at Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School. Demographic, clinical manifestations, laboratory tests, imaging, endoscopic and pathological characteristics of patients with adenomas and adenocarcinomas were collected and compared. Multivariable logistic regression analysis was employed to identify high-risk factors for duodenal papillary adenocarcinoma.Results:A total of 119 cases of adenocarcinoma and 171 cases of adenoma were included. There were statistically significant differences between the two groups in terms of patient age, body mass index (BMI), clinical symptoms, family history of malignant tumors, bile duct dilation, pancreatic duct dilation, lesion size, adenoma site classification, stage assessed by EUS, and involvement of the bile and pancreatic ducts ( P<0.05). Univariate logistic regression analysis revealed that non-ampullary lesions, involvement not limited to the major duodenal papilla assessed by EUS, involvement of the bile and pancreatic ducts assessed by EUS, age ≥60 years, lesion size ≥1.5 cm, clinical symptoms, family history of malignant tumors, bile duct dilation, and pancreatic duct dilation were risk factors for duodenal papillary adenocarcinoma. Multivariate logistic regression analysis showed that non-ampullary lesions ( OR=7.00, 95% CI:1.44-34.15, P=0.016), involvement not limited to the major duodenal papilla assessed by EUS ( OR=13.77, 95% CI: 4.69-40.45, P<0.001), age ≥60 years ( OR=2.52, 95% CI: 1.23-5.18, P=0.011), bile duct dilation ( OR=2.58, 95% CI: 1.12-5.94, P=0.026), and lesion size ≥1.5 cm ( OR=2.76, 95% CI:1.36-5.59, P=0.005) were independent risk factors for duodenal papillary adenocarcinoma. Conclusion:This study shows the independent risk factors for duodenal papillary adenocarcinoma, which include non-ampullary lesions, involvement not limited to the major duodenal papilla assessed by EUS, age ≥60 years, bile duct dilation, and lesion size ≥1.5 cm.