Objective To assess the long-term prognosis of nonparoxysmal atrial fibrillation(NPAF)patients after radiofrequency catheter ablation(RFCA)and identify influencing factors.Methods A prospective,randomized controlled trial was conducted from October 2021 to June 2023 at our center.A total of 183 consecutive NPAF patients undergoing RFCA were randomly assigned to the ARNI group(n=91)or control group(n=92).Data collected included baseline characteristics,procedure-related parameters,low voltage areas(LVAs),left atrial mean pressure(LMP),and clinical outcomes at 12 months.The primary endpoint included freedom from atrial fibril-lation recurrence at 12 months post-ablation and secondary endpoints comprised complication rates,mean arterial pressure(MAP),left atrial diameter(LAD),and cardiac function.Results The two groups presented no significant differences in baseline characteristics(P>0.05).The ARNI group demonstrateda significantly higher rate of freedom from AF recurrence compared to the control group at 12 months(79.12%vs.66.30%,HR=0.56,P=0.039).More-over,the ARNI group showed significantly smaller LAD[(40.17±4.72)mm vs.(42.29±6.08)mm,P=0.013)and a significantly lower N-terminal proB-type natriuretic peptide(NT-proBNP)level[98.00(45.00,456.00)vs.128.50(73.50,586.50),P=0.039].Both groups showed no significant differences in complication rates or MAP post-ablation(P>0.05).Cox regression analysis identified ARNI as an independent predictor for maintaining freedom from AF recurrence at 12 months post-ablation(HR=0.524,P=0.038).Subgroup analyses showed that high LMP patients had a lower rate of freedom from AF recurrence than those with normal pressures(51.61%vs.83.47%,P<0.001),and demonstrated significantly improved ARNIoutcomes(64.52%vs.38.71%,P=0.042).Conclusion ARNI improves long-term outcomes for NPAF patients following RFCA,particularly in those with highLMP.

Objective:To explore the application value of part-cut jejunal transection in digestive tract reconstruction of totally laparoscopic total gastrectomy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 112 patients with gastric cancer who underwent totally laparoscopic total gastrectomy in The Second Affiliated Hospital of Anhui Medical University from June 2018 to September 2022 were collected. There were 81 males and 31 females, aged (70±8)years. Among the 112 patients, 60 patients undergoing diges-tive tract reconstruction by Roux-en-Y anastomosis with part-cut jejunum were set as the part-cut group, and 52 patients undergoing digestive tract reconstruction by traditional Roux-en-Y anasto-mosis were set as the traditional group. Observation indicators: (1) propensity score matching status and comparison of clinical data of patients between the two groups after matching; (2) intraopera-tive and postoperative conditions; (3) follow-up. Comparison of measurement data with normal dis-tribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Com-parison of ordinal data was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶1 nearest neighbor matching method, with the caliper value of 0.02. Results:(1) Propensity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 112 patients, 90 patients were successfully matched, with 45 cases in each of the part-cut group and the traditional group. After propensity score matching, the elimination of body mass index, clinical TNM staging confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After propensity score matching, the total operation time and digestive tract reconstruction time of patients in the part-cut group were (217.0±15.1)minutes and (34.7±1.8)minutes, versus (252.6±21.9)minutes and (52.6±7.4)minutes in the traditional group, respectively, showing significant differences in the above indicators between the two groups ( t=?8.97, ?15.66, P<0.05). (3) Follow-up. After propensity score matching, 90 patients were followed up postoperatively for (47±15)months. During the follow-up, no patient in either group received secondary surgery, and there was no death. There were 3 cases and 10 cases of Roux stasis syndrome in the part-cut group and the traditional group, respectively, showing a significant difference between the two groups ( χ2=4.41, P<0.05). Conclusion:Compared with traditional Roux-en-Y anastomosis, the Roux-en-Y anastomosis with part-cut jejunum in totally laparoscopic total gastrectomy can signifi-cantly shorten the time for digestive tract reconstruction and reduce the incidence of postoperative Roux stasis syndrome.

Adipocytic tumors are the most common type of soft tissue tumors,which can be divided into lipomas and liposarcomas.Studies have found that benign lipomas resected from the same site can transform into liposarcomas,especially atypical lipomatous tumors(ALT),suggesting an underlying biological association.In this case,the patient underwent resection of a right neck mass in our hospital in 2017,and the pathology showed fibrolipoma.One year later,the mass recurred at the original site but was not treated.By 2023,the mass had significantly enlarged and extended deeply.MRI showed that the lesion had an unclear boundary with the surrounding fat,suggesting liposarcoma.Puncture and molecular pathology showed MDM2 gene amplification,and the diagnosis of ALT was made,which was confirmed by pathology after complete surgical resection.It can be seen that adipocytic tumors have great differences in biological behavior,and benign lipomas can transform into liposarcomas(especially ALT).Clinically,it is necessary to combine imaging,pathology and molecular detection(such as MDM2/CDK4)for differentiation to formulate treatment plans.

Objectives:To investigate the predictive factors of stroke associated-pneumonia (SAP) in patients with acute stroke, develop nomogram and neural network prediction models and verify their predictive performance.Methods:Patients with acute stroke admitted to the First Affiliated Hospital of Kunming Medical University and Zhenxiong County People's Hospital were included retrospectively. Multivariate logistic regression analysis was used to determine the independent predictive factors of SAP, and develop nomogram and neural network prediction models. Receiver operating characteristic curve (ROC) curves were used to validate and compare the predictive performances. Results:A total of 450 patients with acute stroke were enrolled, including 286 males (63.6%), aged 64.28±13.24 years; 344 patientss (76.4%) had ischemic stroke and 106 (23.6%) had hemorrhagic stroke; 128 patients (28.4%) experienced SAP. According to the random number method, they were divided into a modeling cohort ( n=300) and a validation cohort ( n=150). Multivariate logistic regression analysis in the modeling cohort showed that a higher baseline National Institutes of Health Stroke Scale (NIHSS) score, gastric tube placement, use of proton pump inhibitors, heart failure, and higher neutrophil/lymphocyte ratio (NLR) were the independent predictive factors of SAP. ROC curve analysis showed that the area under the ROC curve of the nomogram model for predicting SAP in the modeling cohort and validation cohort was 0.841 (95% confidence interval [ CI] 0.795-0.880) and 0.863 (95% CI 0.798-0.914), respectively. The sensitivity for predicting SAP were 75.00% and 70.45%, respectively, and the specificity was 81.94% and 92.45%, respectively. The area under the ROC curve of the neural network model for predicting SAP in the modeling cohort and validation cohort was 0.847 (95% CI 0.802-0.866) and 0.862 (95% CI 0.796-0.913), respectively. The sensitivity for predicting SAP were 76.19% and 72.73%, and the specificity was 79.17% and 89.62%, respectively. Conclusions:Higher NIHSS score, gastric tube placement, use of proton pump inhibitors, heart failure, and higher NLR are the independent risk factors for SAP in patients with acute stroke. The nomogram and neural network prediction model developed using the above risk factors have higher predictive value for SAP.

Objective:To analyze the applied effect of artificial intelligence(AI)rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma,so as to realize individual management for them.Methods:An AI rehabilitation system that aimed to patients with long-term coma was designed by integrating data of multimodal sensors included inertial sensor,image sensor and bioelectric sensor.A telemedicine platform,which included seven modules(patient management,consultation management,video communication,data transmission,electronic medical records,cost management and system maintenance),was designed by using a browser/server(B/S)architecture.The changes of patients'condition were followed up,and the full process of the management for rehabilitation treatment and the individualization of treatment plan were realized.A total of 60 inpatients whose coma duration exceeded 28 days were selected from the Coma Awakening Center of Dongguan Shipai Hospital between October 1,2021 and September 30,2022.They were randomly divided into control group(n=30)and observation group(n=30)by random number table.The control group received physical therapy and rehabilitation training based on evaluation results of rehabilitation,while the observation group adopted AI rehabilitation system combined with the telemedicine platform to conduct intervention.The consciousness levels,quality of life,hospital stay duration and treatment costs of two group were compared after intervention.Results:The Glasgow Coma Scale(GCS)scores,Coma Recovery Scale-Revised(CRS-R)scores,and Persistent Vegetative State(PVS)scores of two groups after intervention were significantly higher than those before intervention,and these indicators of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.187,15.586,9.293,P<0.05),respectively.There were not significant differences in Glasgow Outcome Scale(GOS)scores and Activities of Daily Living(ADL)scores between two groups before intervention(P>0.05),and these scores of two groups were significantly increased after intervention,and these scores of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.584,6.755,P<0.05).Additionally,the hospital stay duration and treatment costs of observation group were significantly less than those of control group,and the differences were significant(t=20.965,9.503,P<0.05).Conclusion:The intervention of AI rehabilitation system combines with a telemedicine platform on patients with long-term coma can enhance GCS,CRS-R,PVS,GOS and ADL scores,and reduce hospital stay duration and treatment cost.

Objective:To explore the application value of part-cut jejunal transection in digestive tract reconstruction of totally laparoscopic total gastrectomy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 112 patients with gastric cancer who underwent totally laparoscopic total gastrectomy in The Second Affiliated Hospital of Anhui Medical University from June 2018 to September 2022 were collected. There were 81 males and 31 females, aged (70±8)years. Among the 112 patients, 60 patients undergoing diges-tive tract reconstruction by Roux-en-Y anastomosis with part-cut jejunum were set as the part-cut group, and 52 patients undergoing digestive tract reconstruction by traditional Roux-en-Y anasto-mosis were set as the traditional group. Observation indicators: (1) propensity score matching status and comparison of clinical data of patients between the two groups after matching; (2) intraopera-tive and postoperative conditions; (3) follow-up. Comparison of measurement data with normal dis-tribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Com-parison of ordinal data was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶1 nearest neighbor matching method, with the caliper value of 0.02. Results:(1) Propensity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 112 patients, 90 patients were successfully matched, with 45 cases in each of the part-cut group and the traditional group. After propensity score matching, the elimination of body mass index, clinical TNM staging confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After propensity score matching, the total operation time and digestive tract reconstruction time of patients in the part-cut group were (217.0±15.1)minutes and (34.7±1.8)minutes, versus (252.6±21.9)minutes and (52.6±7.4)minutes in the traditional group, respectively, showing significant differences in the above indicators between the two groups ( t=?8.97, ?15.66, P<0.05). (3) Follow-up. After propensity score matching, 90 patients were followed up postoperatively for (47±15)months. During the follow-up, no patient in either group received secondary surgery, and there was no death. There were 3 cases and 10 cases of Roux stasis syndrome in the part-cut group and the traditional group, respectively, showing a significant difference between the two groups ( χ2=4.41, P<0.05). Conclusion:Compared with traditional Roux-en-Y anastomosis, the Roux-en-Y anastomosis with part-cut jejunum in totally laparoscopic total gastrectomy can signifi-cantly shorten the time for digestive tract reconstruction and reduce the incidence of postoperative Roux stasis syndrome.

Adipocytic tumors are the most common type of soft tissue tumors,which can be divided into lipomas and liposarcomas.Studies have found that benign lipomas resected from the same site can transform into liposarcomas,especially atypical lipomatous tumors(ALT),suggesting an underlying biological association.In this case,the patient underwent resection of a right neck mass in our hospital in 2017,and the pathology showed fibrolipoma.One year later,the mass recurred at the original site but was not treated.By 2023,the mass had significantly enlarged and extended deeply.MRI showed that the lesion had an unclear boundary with the surrounding fat,suggesting liposarcoma.Puncture and molecular pathology showed MDM2 gene amplification,and the diagnosis of ALT was made,which was confirmed by pathology after complete surgical resection.It can be seen that adipocytic tumors have great differences in biological behavior,and benign lipomas can transform into liposarcomas(especially ALT).Clinically,it is necessary to combine imaging,pathology and molecular detection(such as MDM2/CDK4)for differentiation to formulate treatment plans.

Objective:To analyze the applied effect of artificial intelligence(AI)rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma,so as to realize individual management for them.Methods:An AI rehabilitation system that aimed to patients with long-term coma was designed by integrating data of multimodal sensors included inertial sensor,image sensor and bioelectric sensor.A telemedicine platform,which included seven modules(patient management,consultation management,video communication,data transmission,electronic medical records,cost management and system maintenance),was designed by using a browser/server(B/S)architecture.The changes of patients'condition were followed up,and the full process of the management for rehabilitation treatment and the individualization of treatment plan were realized.A total of 60 inpatients whose coma duration exceeded 28 days were selected from the Coma Awakening Center of Dongguan Shipai Hospital between October 1,2021 and September 30,2022.They were randomly divided into control group(n=30)and observation group(n=30)by random number table.The control group received physical therapy and rehabilitation training based on evaluation results of rehabilitation,while the observation group adopted AI rehabilitation system combined with the telemedicine platform to conduct intervention.The consciousness levels,quality of life,hospital stay duration and treatment costs of two group were compared after intervention.Results:The Glasgow Coma Scale(GCS)scores,Coma Recovery Scale-Revised(CRS-R)scores,and Persistent Vegetative State(PVS)scores of two groups after intervention were significantly higher than those before intervention,and these indicators of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.187,15.586,9.293,P<0.05),respectively.There were not significant differences in Glasgow Outcome Scale(GOS)scores and Activities of Daily Living(ADL)scores between two groups before intervention(P>0.05),and these scores of two groups were significantly increased after intervention,and these scores of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.584,6.755,P<0.05).Additionally,the hospital stay duration and treatment costs of observation group were significantly less than those of control group,and the differences were significant(t=20.965,9.503,P<0.05).Conclusion:The intervention of AI rehabilitation system combines with a telemedicine platform on patients with long-term coma can enhance GCS,CRS-R,PVS,GOS and ADL scores,and reduce hospital stay duration and treatment cost.

Objective To assess the long-term prognosis of nonparoxysmal atrial fibrillation(NPAF)patients after radiofrequency catheter ablation(RFCA)and identify influencing factors.Methods A prospective,randomized controlled trial was conducted from October 2021 to June 2023 at our center.A total of 183 consecutive NPAF patients undergoing RFCA were randomly assigned to the ARNI group(n=91)or control group(n=92).Data collected included baseline characteristics,procedure-related parameters,low voltage areas(LVAs),left atrial mean pressure(LMP),and clinical outcomes at 12 months.The primary endpoint included freedom from atrial fibril-lation recurrence at 12 months post-ablation and secondary endpoints comprised complication rates,mean arterial pressure(MAP),left atrial diameter(LAD),and cardiac function.Results The two groups presented no significant differences in baseline characteristics(P>0.05).The ARNI group demonstrateda significantly higher rate of freedom from AF recurrence compared to the control group at 12 months(79.12%vs.66.30%,HR=0.56,P=0.039).More-over,the ARNI group showed significantly smaller LAD[(40.17±4.72)mm vs.(42.29±6.08)mm,P=0.013)and a significantly lower N-terminal proB-type natriuretic peptide(NT-proBNP)level[98.00(45.00,456.00)vs.128.50(73.50,586.50),P=0.039].Both groups showed no significant differences in complication rates or MAP post-ablation(P>0.05).Cox regression analysis identified ARNI as an independent predictor for maintaining freedom from AF recurrence at 12 months post-ablation(HR=0.524,P=0.038).Subgroup analyses showed that high LMP patients had a lower rate of freedom from AF recurrence than those with normal pressures(51.61%vs.83.47%,P<0.001),and demonstrated significantly improved ARNIoutcomes(64.52%vs.38.71%,P=0.042).Conclusion ARNI improves long-term outcomes for NPAF patients following RFCA,particularly in those with highLMP.

OBJECTIVE To explore the construction of the physical identification model of twenty-five people of yin and yang by combining the hand diagnosis image analysis of machine learning,in order to enrich the input of physical identification features.METHODS Based on the theory of twenty-five people of yin and yang,the hand images of 542 patients with cardiovascular disease were collected by self-developed hand diagnosis acquisition equipment.The key points of the hand were extracted by the Mediapipe palm key point algorithm,and the palm area was segmented by geometry to obtain the length and color gamut characteristics of different parts.The physician with clinical license was used to determined the patient's yin and yang twenty-five constitution according to the e-lectronic medical record,and the patient's constitution was identified by comparing Random Forest,Logistic Regression,Xgboost algo-rithm and Light GBM.RESULTS This study successfully constructed a TCM constitution identification model based on hand charac-teristics,which can identify ten basic constitution types including gold wood,gold fire,gold water,gold soil,wood fire,wood water,wood soil,water fire,water soil and fire soil.After sample equalization,the Random Forest model performed best in physical identifi-cation,with an accuracy rate of 0.69,which was significantly better than other models.CONCLUSION The constitution identifica-tion model of TCM hand diagnosis based on hand characteristics can realize the constitution identification of the five elements of TCM.However,due to the use of only hand diagnosis data of TCM,the accuracy needs to be improved.Compared with the traditional body mass scale,it is more objective,convenient,highly stable and consistent.In the future,multimodal integration with face diagno-sis and whole body inspection can be carried out to promote the accuracy,intelligence and multi-dimensional evaluation ability of TCM constitution identification technology.