OBJECTIVES: To develop an early atrial fibrillation (AF) risk prediction model based on large-scale electrocardiogram (ECG) data from the Chinese population. METHODS: The data of multiple ECG records of 30 383 patients admitted in the Chinese PLA General Hospital between 2009 and 2023 were randomly divided into the training set and the internal testing set in a 7:3 ratio. The predictive factors were selected based on the training set using univariate analysis, LASSO regression, and the Boruta algorithm. Cox proportional hazards regression was used to establish the ECG model and the composite model incorporating age, gender, and ECG model score. The discrimination power, calibration, and clinical net benefits of the models were evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curves. RESULTS: The cohort included 51.1% male patients with a median age of the patients of 51 (36, 62) years and an AF incidence of 4.5% (1370/30 383). In the ECG model, the parameters related to the P wave and QRS complex were identified as significant predictors. In the testing set, the AUROC of the ECG model for predicting 5-year AF risk was 0.77 (95% CI: 0.74-0.80), which was increased to 0.81 (95% CI: 0.78-0.83) after incorporating age and gender, with a net reclassification improvement of 0.123 and an integrated discrimination improvement of 0.04 (P<0.05). The calibration curve of the model was close to the diagonal line. Decision curve analysis showed that the clinical net benefit of the composite model was higher than that of the ECG model across the majority of threshold probability. CONCLUSIONS The composite model incorporating quantitative ECG features during sinus rhythm, along with age and gender, can effectively predict AF risk in the Chinese population, thus providing a low-cost screening tool for early AF risk assessment and management.
Humans ; Atrial Fibrillation/epidemiology* ; Electrocardiography ; Middle Aged ; Male ; Female ; China/epidemiology* ; Proportional Hazards Models ; Adult ; Risk Factors ; Risk Assessment ; East Asian People

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To investigate the clinical efficacy and indications of arthrolysis plus Ilizarov technique in the treatment of traumatic fibrous stiffness of the knee.Methods:The clinical data were analyzed retrospectively of the 9 patients (10 knees) with traumatic fibrous stiffness who had been treated by arthrolysis plus Ilizarov technique from January 2012 to December 2020 at Department of Orthopaedics, Rehabilitation Hospital of National Research Center for Rehabilitation Technique Aids. There were 8 males and one female, aged from 15 to 42 years (average, 30.2 years). The left side was affected in 2 cases, the right side in 6 ones and bilateral sides in one. Their knee stiffness was all caused by injury around the knee. The time from injury to treatment ranged from 12 months to 38 years (average, 16.5 years). The admission examination revealed that the knee extension ranged from -40° to 0° and the knee flexion from -10° to 40°. Wearing time for the external fixator and incidence of complications were recorded; the ranges of knee motion were compared before and after treatment; the Qin Sihe criteria for postoperative limb deformity correction were used at the last follow-up to evaluate the curative efficacy.Results:The 9 patients were followed up for 20 to 78 months with an average of 35 months. The external fixators were worn for 14 to 200 days with an average of 78.4 days. During the traction period, pin tract reaction (3 holes) occurred in 2 patients with 3 knees, pin tract infection (2 holes) in 2 patients with 2 knees, the incision healed poorly in one patient, and no other complications occurred. The functional recovery of the knee was good at the last follow-up. The knee extension was 0°, insignificantly different from the preoperative value (-6.5°±12.9°) ( t=-1.591, P=0.146); the flexion angle was 70.0°±17.6°, significantly better than the preoperative value (15.0°±17.2°) ( t=-6.822, P< 0.001). According to the Qin Sihe postoperative criteria, the curative efficacy at the last follow-up was excellent in 7 knees and good in 3. Conclusion:In the treatment of traumatic fibrous stiffness of the knee, when the efficacy of simple arthrolysis is not good enough, a combination with Ilizarov technique can help improve the postoperative knee function and prevent severe complications.

The need for long-term treatments of chronic diseases has motivated the widespread development of long-acting parenteral formulations (LAPFs) with the aim of improving drug pharmacokinetics and therapeutic efficacy. LAPFs have been proven to extend the half-life of therapeutics, as well as to improve patient adherence; consequently, this enhances the outcome of therapy positively. Over past decades, considerable progress has been made in designing effective LAPFs in both preclinical and clinical settings. Here we review the latest advances of LAPFs in preclinical and clinical stages, focusing on the strategies and underlying mechanisms for achieving long acting. Existing strategies are classified into manipulation of

Objective:To investigate surgical methods and clinical effects of tibial pseudarthrosis due to neurofibromatosis type I (NF1) in adult using Ilizarov technique combined with intramedullary nail.Methods:A total of 12 adult with tibial pseudarthrosis due to NF1 treated by Ilizarov technique combined with intramedullary nail from October 2009 to December 2017 were retrospectively included. There were 6 males and 6 females with an average age of 27±8.3 years (range 17-44). All cases presented severe anterior arch in varus or valgus deformity with shortening in an average of 10.8±3.7 cm (range 5.6-16.5 cm). The in-volved levels were at the middle and lower part of tibia. All cases suffered from more than one treatment with failed surgery. One male patient with 5 times of unsuccessful operations. There were 4 cases with severe limping gait and 8 cases with walking with the help of brace (or single crutch) preoperatively. Regarding the family history, seven cases were inherited by father and 5 cases by mother. During surgery, the part of tibial pseudarthrosis and thickened fibrous tissue surroundings like periosteal were removed. The contracture achilles tendon was elongated in open way, and intramedullary nailing cross the ankle joint was applied when the tibial medullary cavity opened. Further, iliac bone grafting and proximal tibial osteotomy were performed with Ilizarov fixator application finally. The tibia was lengthened at a rate of 0.5-1 mm/d at 7 days postoperatively. The healing rate of pseudarthrosis and the length and alignment of limb were evaluated by X-ray routinely. The lower limb function and complications were assessed by self-made table for lower limb deformity correction and functional reconstruction.Results:All patients were followed up for 31-80 months with an average of 47.6±14.7 months. Bone union of pseudarthrosis in all cases was eventually achieved. The tibia was lengthened 5-12 cm with an average of 8.4±2.5 cm. There were 9 cases underwent second surgeries to promote bone healing and to correct residual deformities. The external fixator was used for 25-37 months with an average of 31.5±3.7 months. There was no complication, including neurovascular injury, severe soft tissue or bone infection affecting the clinical effects. All intramedullary nails were not removed finally. The limb function and gait in full weight bearing in 12 patients recovered at the latest follow-up. The evaluation score was 2.4±0.3 (range 2.1-2.8), of which 9 cases were excellent 3 were good. Thus, the excellent and good rate was 100%.Conclusion:The satisfactory clinical effects, including angular deformity correction, pseudarthrosis healing and short limb lengthening, can be achieved in adult with tibial pseudarthrosis due to NF1 by using the combination method of Ilizarov technique and intramedullary nail. However, the treatment duration could be longer.

Diabetes mellitus is a chronic disease, it is thus necessary for its patients to participate in its treatment and self-management. The emerging foreign and domestic methods for self-management of diabetes mellitus pa-tients were detected on different Websites and suggestions were proposed for its treatment and self-management in order to improve the quality of life in diabetes mellitus patients.

By using the software CiteSpace Ⅱ,the paper makes a quantitative analysis and interpretation of research literatures on telemedicine in SCIE of Web of Science from three perspectives,namely the research hotspots,knowledge base and research fronts.The research hotspots of telemedicine mainly include tele-diagnosis,tele-monitoring and evaluation of the application effects of telemedicine.It sets forth key literatures representing the knowledge base one by one and reveals that most of them focus on clinical applications.The analysis of burst terms indicates that more attention has been paid to tele-monitoring and distance education of chronic diseases in recent years and mobile technology is one of the greatest driving forces for the development of telemedicine at the present stage.

Clinical laboratory undergraduate program was switched from medicine to medical technology,the changes of personnel training program compel universities to adjust the curriculum system.Six domestic known as 211 universities who have laboratory and biology undergraduate programs were scrutinized and compared.Overall,the proportion of general courses covers 30％ of the credit hours in both clinical laboratory and biology programs.Ratio of these general education curriculums to professional core courses is as high as 1.90∶1 in clinical laboratory program.Also,there were very strong medical features and very weak medical technology characteristics in the basic course in clinical laboratory program.It suggested that the curriculum system nowadays cant conform to the new personnel training objective.A novel system from abroad should be adopted to optimize clinical laboratory program accord with the principles and concepts of wide caliber training model.

Adult ; Female ; Humans ; Liver ; pathology ; Male ; Middle Aged ; Non-alcoholic Fatty Liver Disease ; pathology ; Obesity ; pathology ; Young Adult