To explore the role of the "Clinical Practice Guidelines" column and others in the Medical Joumnal of Peking Union Medical College Hospital (Med J PUMCH) in promoting diseiplinary development.

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

Acute-on-chronic liver failure （ACLF） refers to severe liver dysfunction that occurs on the basis of chronic liver diseases， and it is characterized by rapid disease progression， poor prognosis， and high mortality rate. In recent years， inflammatory markers have become a research hotspot due to their significant role in assessing the prognosis of ACLF. This article reviews the advances in the application of inflammatory markers in assessing the prognosis of ACLF， such as systemic immune inflammatory index， lymphocyte-white blood cell ratio， neutrophil-lymphocyte ratio， and C-reactive protein， and discusses their clinical value and future research directions， in order to provide a theoretical basis for the early intervention and prognosis management of ACLF patients.

Objective:To explore the diagnostic value of the macrophage activation syndrome/systemic juvenile idiopathic arthritis（MS）score in macrophage activation syndrome（MAS）associated with systemic juvenile idiopathic arthritis（sJIA），and to provide a reference for clinical work.Methods:This study was a retrospective case-control analysis，conducted on the patients initially diagnosed as sJIA-associated with MAS and admitted into the Department of Rheumatology and Immunology of Children's Hospital Affiliated to Xi 'an Jiaotong University from July 1st，2016 to June 30th，2023. All of the patients met the diagnostic criteria for patients with MAS associated with sJIA according to the 2016 European Alliance of Associations for Rheumatology（EULAR）/American College of Rheumatology（ACR）/Pediatric Rheumatology International Trials Organization（PRINTO）standards. The basic information at baseline，clinical manifestations，and auxiliary examination results were collected. The MS score was applied to re-evaluate the children diagnosed as sJIA-associated with MAS. When the MS score ≥-2.1，the possibility of sJIA with MAS was high. Thirty cases of sJIA without MAS were randomly selected as the control group.Results:There were 28 cases in the MAS group，including 13 males（46.43%）and 15 females（53.57%），with an average age of（7.51±4.01）years. Compared with the control group，the MAS group were significantly more likely to have high fever（ χ2=8.539， P=0.003），hepatomegaly（ χ2=11.621， P<0.001），splenomegaly（ χ2=11.710， P<0.001）and neurological involvement（ χ2=27.619， P<0.001），with the differences being statistically significant. Meanwhile，there were statistically significant differences between the two groups in terms of white blood cell count（ Z=-4.001， P<0.001），neutrophil count（ Z=-3.659， P<0.001），platelet count（ Z=-4.687， P<0.001），albumin level（ Z=-4.018， P<0.001），alanine aminotransferase（ Z=-3.846， P<0.001），aspartate aminotransferase（ Z=-5.932， P<0.001），lactate dehydrogenase（ Z=-6.150， P<0.001），triglycerides（ Z=-5.874， P<0.001），fibrinogen（ Z=-5.808， P<0.001），ferritin（ Z=-5.280， P<0.001），erythrocyte sedimentation rate（ Z=-3.971， P<0.001），ferritin/erythrocyte sedimentation rate（ Z=-5.433， P<0.001），reduction of two-line cells in blood（ χ2=11.408， P<0.001）and the presence of hemophagocytosis in bone marrow smears（ χ2=28.260， P<0.001）. Moreover，there was a statistically significant difference in MS scores between the two groups（ Z=-6.148， P<0.001），with higher MS scores in the MAS group. Nevertheless，this study showed the median MS scores of both groups ≥-2.1. Conclusion:The MS score was significant to a certain degree as reference for the diagnosis of MAS，and this study showed that the MS score in the MAS group was significantly higher than the control group. However，the median MS scores in both groups were no less than -2.1. This might be related to the influence of factors during the assessment，which made it necessary to optimize the cutoff values of the MS score. Therefore，prospective studies should be carried out on the role of MS score in early identification of MAS.

Objective To explore the application value of predictive model based on nutritional status combined with clinical data in infectious complications after radical gastrectomy for gastric canc-er.Methods The clinical data on 394 gastric cancer patients who underwent radical gastrectomy at Suzhou Ninth Hospital Affiliated to Soochow University from January 2017 to July 2024 were retrospec-tively collected.According to whether the patients developed infection after surgery,they were divided into infection group(n=73)and non-infection group(n=321)based on whether they developed postoperative infections or not.The least absolute shrinkage and selection operator(LASSO)method was used to obtain the optimal related features associated with infectious complications after radical gas-trectomy for gastric cancer.Multivariate Logistic regression analysis was conducted to screen for risk factors of infectious complications after radical gastrectomy.R software was used to randomly select 70％of data as training set(for establishing the nomogram model)and 30％of data as test set.The area under the curve(AUC)of the receiver operating characteristic(ROC)curve,Bootstrap sampling validation,and decision curve analysis(DCA)were used to assess the value of the predictive model.Results of the 394 gastric cancer patients,73 developed postoperative infectious complications,in-cluding 53.42％with lung infections,17.81％with intra-abdominal infections,16.44％with uri-nary tract infections,and 12.33％with wound infections.Age,diabetes mellitus,preoperative nu-tritional risk,high preoperative PIV,combined organ resection,and prolonged operation time were identified as risk factors for infectious complications after radical gastrectomy(P＜0.05).In the training set,the AUC of the nomogram model was 0.898,and the AUC validated in the test set was 0.891.Bootstrap sampling validation with 1,000 iterations showed that the average errors between the predicted probabilities and actual values in the training and test sets were 0.019 and 0.024,re-spectively.DCA results indicated that the model had clinical utility.Conclusion Infectious com-plications after gastrectomy for gastric cancer are common,and the predictive model based on nutri-tional assessment combined with clinical data has high value in predicting the risk of infectious com-plications after gastrectomy.

In order to address issues such as the decline in diagnostic performance of deep learning models due to imbalanced data distribution in psoriasis vulgaris,a VGG13-based deep convolutional neural network model is proposed by integrating the processing capability of the improved fuzzy KMeans clustering algorithm for highly clustered complex data and the predictive capability of VGG13 deep convolutional neural network model.The model is applied to the diagnosis of psoriasis vulgaris,and the experimental results indicate that compared with VGG13 and resNet18,the proposed approach based on deep learning and improved fuzzy KMeans is more suitable for identifying psoriasis features.

BACKGROUND:In the process of exploring the mechanism of Alzheimer's disease,the important role of bioinformatics for common target screening has been revealed,enabling the use of its screening results as a basis for exploring the therapeutic effects of drugs on the disease. OBJECTIVE:To predict the targets of liraglutide,a glucagon-like peptide-1 receptor agonist,in the treatment of Alzheimer's disease by bioinformatics and molecular biology. METHODS:DisGeNET database and SEA database were used to obtain the common genes of Alzheimer's disease and liraglutide.GO/KEGG enrichment analysis of common targets was conducted using DAVID online database.Protein-protein interaction networks were constructed using STRING database.The optimal dosage of liraglutide was determined using cell counting kit-8 assay.Expression of key proteins was analyzed using immunofluorescence and immunoblotting techniques.The mouse hippocampal neuron HT22 cell line was used for ex vivo experiments,and the cells were randomly divided into three groups:HT22 group,HT22+Aβ group,and HT22+Aβ+Lir group.No special treatment was done in the HT22 group,while Aβ1-42 was used to intervene in the HT22 cell line for 24 hours to construct an Aβ injury cell model in the HT22+Aβ group.In additional to modeling,liraglutide was added to the HT22+Aβ+Lir group for 12 hours. RESULTS AND CONCLUSION:A total of 3 333 genes associated with Alzheimer's disease were screened from DisGeNET database.Then 147 potential targets of liraglutide were obtained from SEA database.Finally,64 common targets of Alzheimer's disease and Liraglutide were determined using R packets.GO/KEGG analysis of common targets using DAVID online database suggested that common targets were mainly enriched in the following biological processes:neuroactive ligand-receptor interaction,renin-angiotensin system,bladder cancer,endopeptidase activity,peptide receptor activity,G protein-coupled peptide receptor activity,and transport vesicles.The obtained 64 common target proteins were imported into SRTING online database for protein-protein interaction network construction,and the top three genes,matrix metalloproteinases 2,9 and interleukin 1β,were obtained.The activity of cultured cells was detected by the cell counting kit-8 kit.Liraglutide at 100 nmol/L was the optimal concentration for antagonizing Aβ1-42.In the western blot and immunofluorescence assays,the expression of matrix metalloproteinases 2,9 and interleukin 1β was significantly increased in the HT22+Aβ group compared with the HT22 group(P＜0.05)but significantly decreased in the HT22+Aβ+Lir group compared with the HT22+Aβ group(P＜0.05).To conclude,the above bioinformatics data and secondary validation of differential genes in the GEO database suggest that both matrix metalloproteinases 2,9 and interleukin 1β could be potential targets of liraglutide in the treatment of Alzheimer's disease.

Objective:To develop a grading system for necrosis of pedicled flaps in reconstruction of foot and ankle, and to verify its effectiveness and repeatability.Methods:A retrospective observational study was conducted. A total of 40 necroses of foot and ankle pedicled flaps were selected by 2 senior surgeons based on the flap surgery performed by the same surgical group in Department of Orthopaedic Surgery, the 920 Hospital of Joint Logistic Support Force of PLA from January 2010 to January 2022. A grading system for pedicled flap necrosis was proposed by a working group and the 40 necrotic flaps were graded. The coincidence rate was calculated to evaluate the effectiveness of the grading system through correlation studies between grading and clinical treatment. One photo of a typical postoperative necrotic flap was collected from each of the 40 flaps. Then 5 extramural surgeons were asked to grade the necroses shown on the photos according to the proposed grading system. Moreover, weighted Kappa analysis was performed on the results of proposed grading system and also on the standard grading currently in use, to evaluate the repeatability of the proposed grading system. Evaluated data were expressed by Mean±SD, and the coincidence rate was expressed by percentage. The reproducibility was studied by weighted Kappa analysis.Results:Of the 40 necrotic flaps, 7 flaps were classified in Grade I, 16 in Grade Ⅱ, 12 in Grade Ⅲ and 5 in Grade IV. In comparison with the actual treatment methods, the overall coincidence rate of the grading system was 92.5%. It indicated that the proposed grading system could effectively guide the selection of a treatment procedure. The average weighted Kappa coefficient of surgeons was at 0.628 with a 95% confidence interval (95%CI) between 0.460-0.796, which was strongly consistent with the standard of the grading system currently in use.Conclusion:The grading system for necrosis of pedicled flap in reconstruction of foot and ankle proposed in this study is simple and clear. It is able to effectively guide the treatment of flap necrosis. The preliminary validation shows that the classification system has good repeatability.

Objective:To learn about physicians’ concepts and commonly employed method in hyaluronic acid injection and provide reference data for the standardization of pain management.Methods:This study was a cross-sectional study. Convenient sampling method was used to distribute questionnaires to cosmetic injectors and patients experienced with hyaluronic acid injections to collect data on their views of pain associated with hyaluronic acid injections. The physician portion was collected offline from June 15 to July 20, 2022, and the patient portion was collected from November 14, 2022, to December 6, 2022, via the Questionnaire Star platform. The physician questionnaire consisted of 17 questions, question types included single choice, multiple choice and essay questions. The patient questionnaire consisted of 6 questions, question types included single choice and multiple choice. Relevant data were analyzed using SPSS 22.0 software for descriptive statistics, and data were presented in the form of cases and percentages (%).Results:Sixty-two physician questionnaires and 123 patient questionnaires were collected. 42 (67.74%) physicians observed from their daily practice that more than 50% of their patients were very concerned about pain during injection; 101 (82.11%) patients scored ≥5 out of 10 for concern about impending pain prior to hyaluronic acid filler injection. At the time of treatment, 48 (77.42%) physicians advised patients to choose a lidocaine-containing hyaluronic acid filler for reasons including a significant reduction in injection pain (53 cases, 85.48%) and patient comfort with the treatment experience (59 cases, 95.16%). 60 (48.78%) patients were willing to choose an anesthesia-containing product at the time of injection, but the price of the anesthesia-containing product influenced the patient’ s choice (55 cases 44.72%) .Conclusions:Pain from cosmetic injectable treatments is an important issue to both physicians and patients. Lidocaine-containing hyaluronic acid is recognized by physicians and patients for its analgesic effect and high safety profile. There is no perfect solution for pain in cosmetic injection treatment, and multidisciplinary collaboration may be needed to solve the problem.

Objective:To learn about physicians’ concepts and commonly employed method in hyaluronic acid injection and provide reference data for the standardization of pain management.Methods:This study was a cross-sectional study. Convenient sampling method was used to distribute questionnaires to cosmetic injectors from plastic surgery department of public hospitals or medical beauty institutions and patients experienced with hyaluronic acid injections to collect data on their views of pain associated with hyaluronic acid injections. The physician portion was collected offline from June 15 to July 20, 2022, and the patient portion was collected from November 14 to December 6, 2022, via the Questionnaire Star platform. The physician questionnaire consisted of 17 questions, question types included single choice, multiple choice and essay questions. The patient questionnaire consisted of 6 questions, question types included single choice and multiple choice. Relevant data were analyzed using SPSS 22.0 software for descriptive statistics, and data were presented in the form of cases(%).Results:Sixty-two physician questionnaires and 123 patient questionnaires were collected. 42 (67.74%) physicians observed from their daily practice that more than 50% of their patients were very concerned about pain during injection; 101 (82.11%) patients scored ≥5 out of 10 for concern about impending pain prior to hyaluronic acid filler injection. At the time of treatment, 48 (77.42%) physicians advised patients to choose a lidocaine-containing hyaluronic acid filler for reasons including a significant reduction in injection pain (53 cases, 85.48%) and patient comfort with the treatment experience (59 cases, 95.16%). 60 (48.78%) patients were willing to choose an anesthesia-containing product at the time of injection, but the price of the anesthesia-containing product influenced the patient’s choice (55 cases, 44.72%).Conclusion:Pain from cosmetic injectable treatments is an important issue to both physicians and patients. Lidocaine-containing hyaluronic acid is recognized by physicians and patients for its analgesic effect and high safety profile. There is no perfect solution for pain in cosmetic injection treatment, and multidisciplinary collaboration may be needed to solve the problem.