AIM: To evaluate the performance of three distinct large language models(LLM), including GPT-3.5, GPT-4, and PaLM2, in responding to queries within the field of ophthalmology, and to compare their performance with three different levels of medical professionals: medical undergraduates, master of medicine, and attending physicians.METHODS: A total of 100 ophthalmic multiple-choice tests, which covered ophthalmic basic knowledge, clinical knowledge, ophthalmic examination and diagnostic methods, and treatment for ocular disease, were conducted on three different kinds of LLM and three different levels of medical professionals(9 undergraduates, 6 postgraduates and 3 attending physicians), respectively. The performance of LLM was comprehensively evaluated from the aspects of mean scores, consistency and confidence of response, and it was compared with human.RESULTS: Notably, each LLM surpassed the average performance of undergraduate medical students(GPT-4:56, GPT-3.5:42, PaLM2:47, undergraduate students:40). Specifically, performance of GPT-3.5 and PaLM2 was slightly lower than those of master's students(51), while GPT-4 exhibited a performance comparable to attending physicians(62). Furthermore, GPT-4 showed significantly higher response consistency and self-confidence compared with GPT-3.5 and PaLM2.CONCLUSION: LLM represented by GPT-4 performs well in the field of ophthalmology, and the LLM model can provide clinical decision-making and teaching aids for clinicians and medical education.

Objective To construct risk prediction models of death or readmission in patients with acute heart failure(AHF)during the vulnerable phase based on machine learning algorithms and screen the optimal model.Methods A total of 651 AHF patients with admitted to Department of Cardiology of the Second Affiliated Hospital of Army Medical University from October 2019 to July 2021 were included.The clinical data consisting of admission vital signs,comorbidities and laboratory results were collected from electronic medical records.The composite endpoint was defined as all-cause death or readmission for worsening heart failure within 3 months after discharge.The patients were divided into a training set(521 patients)and a test set(130 patients)in a ratio of 8:2 through the simple random sampling.Six machine learning models were developed,including logistic regression(LR),random forest(RF),decision tree(DT),light gradient boosting machine(LGBM),extreme gradient boosting(XGBoost)and neural networks(NN).Receiver operating characteristic(ROC)curve and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical benefit of the models.Shapley additive explanation(SHAP)was used to explain and evaluate the effect of different clinical characteristics on the models.Results A total of 651 AHF patients were included,of whom 203 patients(31.2%)died or were readmitted during the vulnerable phase.ROC curve analysis showed that the AUC values of the LR,RF,DT,LGBM,XGBoost and NN model were 0.707,0.756,0.616,0.677,0.768 and 0.681,respectively.The XGBoost model had the highest AUC value.DCA showed that the XGBoost model exhibited greater clinical net benefit compared with other models,with the best predictive performance.SHAP algorithm analysis showed that the clinical features that had the greatest impact on the output of the model were serum uric acid,D-dimer,mean arterial pressure,B-type natriuretic peptide,left atrial diameter,body mass index,and New York Heart Association(NYHA)classification.Conclusion The XGBoost model has the best predictive performance in predicting the risk of death or readmission of AHF patients during the vulnerable phase.

Objective To investigate the differences in clinical and radiographic features between severe influenza A H1N1 and H3N2 in children.Methods The clinical and radiographic data of children diagnosed with severe influenza A H1N1 and H3N2 were analyzed retrospectively.According to the pathogen subtypes,they were divided into H1N1 group(34 cases)and H3N2 group(23 cases).Differences in clinical data,laboratory results,treatment,hospitalization time,outcome,and radiographic features between the two groups were analyzed.The t-test was used for the comparison of normally distributed measurement data between the groups,and Mann-Whitney U test was used for the comparison of non-normally distributed measurement data between the groups.Chi-square test or Fisher's exact probability method was used for the analysis of counting data,depending on the situation.Results There were differences in the season of onset,clinical and radiographic features between the two groups.H1N1 subtype mostly occurred in win-ter,and mainly manifested as respiratory symptoms(wheezing/shortness of breath)and respiratory complications(severe pneumonia).H3N2 subtype was mainly observed in summer,and more likely to involve the central nervous system(CNS),presenting with neuro-logical symptoms(convulsions),abnormal electroencephalogram,and concurrent influenza associated encephalopathy(IAE).Conclusion There are significant differences in epidemiology,clinical and radiographic features between severe influenza A H1N1 and H3N2.H3N2 has a higher probability of concurrent IAE and should be highly vigilant in clinical practice.

Objective:To investigate the clinical value of Tyro3/Axl/Mertk (TAM) receptor tyrosine kinase and ligands in severity evaluation for acute pancreatitis (AP).Methods:The peripheral blood and clinical data of 27 patients with AP admitted in the Department of Gastroenterology of Shanghai General Hospital from February 2020 to July 2022 were prospectively selected. The patients were divided in to mild AP group (MAP, n=13), moderately severe AP (MSAP, n=10) and severe AP group (SAP, n=4) according to the 2012-revised Atlanta classification for AP. Another 10 healthy normal subjects were selected as the control group. The general information, biochemical indicators and blood cell analysis of the patients were recorded, and the levels of serum Gas6, protein S and soluble Axl (sAxl) were measured by ELISA. Linear regression equations were used to analyze the correlation of serum Gas6, protein S and sAxl levels with the white blood cell (WBC) counts, neutrophil percentages, lymphocyte percentages, and monocyte percentages of each group, and to assess the clinical value of Gas6, protein S and sAxl in predicting the severity of AP patients. Results:Compared with the control group, the serum Gas6 level [(31.3±13.0)ng/ml vs (21.2±2.6)ng/ml], protein S level [(24.4±11.3)μg/ml vs (17.7±3.4)μg/ml], and sAxl level [(9.0±4.4)ng/ml vs (6.6±1.3)ng/ml] were significantly higher in the AP group. The Gas6 level was significantly higher in the SAP group (54.1±13.7 ng/ml) than in the MAP group (31.0±9.4 ng/ml) and the MSAP group (25.2±8.9 ng/ml), and the differences were statistically significant (all P value <0.05). The Gas6 level was significantly positively correlated with the WBC count ( r=0.1733) and neutrophils percentage ( r=0.4424), and negatively correlated with lymphocyte percentage(r=-0.363), with statistically significant differences (all P value <0.05). The levels of protein S and sAXL were positively correlated WBC count and neutrophil percentage, and negatively correlated with monocyte percentage and lymphocyte percentage, but the differences were not statistically significant. Conclusions:The serum levels of Gas6 increase significantly with the severity grading of AP, which may serve as a relatively good predictor for the early severity assessment of AP.

Objective:To compare the effects of different test meals on postprandial triglycerides and to optimize the standard meal composition and the blood sampling protocol for the oral fat tolerance test.Methods:This study is a prospective, open-label, randomized, cross-over trial. In March 2023, 36 volunteers were recruited in Hebei General Hospital. They underwent a health examination and oral glucose tolerance test. Twenty-six healthy volunteers(11 males and 15 females) were included in this study, with an average age of(39.08±4.56) years. Each volunteer received 75 g protein meal, 75 g fat meal, 700 kcal fixed-calorie high-fat mixed meal, and a high-fat mixed meal with energy adjusted based on 10 kcal/kg body weight. A one-week washout period of regular diet was applied before each trial. Blood was collected at fasting status and 1, 2, 3, 4, 5, and 6 hours after a meal to detect serum triglycerides, total cholesterol, low density lipoprotein-cholesterol(LDL-C), high density lipoprotein-cholesterol(HDL-C), glucose, and insulin. The variations of postprandial metabolic indicators over time following the consumption of different test meals were analyzed. The disparities in postprandial metabolic responses between the two types of mixed meals were compared.Results:The protein meal, fat meal, fixed-calorie high-fat mixed meal, and adjusted-calorie high-fat mixed meal resulted in postprandial triglyceride increases of 22.45%, 115.40%, 77.14%, and 63.63%, and insulin increase of 560.43%, 85.69%, 554.18%, and 598.97%, respectively, and with reductions in total cholesterol, LDL-C, and HDL-C ranging from 5.64%-21.81%, respectively. The blood glucose changed slightly. Changes in metabolic indicators mainly occured within 4 hours. The comparison of the characteristics of postprandial triglycerides between the two high-fat mixed meals showed no statistically significant differences( P>0.05). Conclusion:A standardize protocol with a 700 kcal fixed-calorie high-fat mixed meal as test meal, and blood lipid levels measured at fasting and at 1, 2, 3, and 4 hours after consumption, can serve as an optimized approach for oral fat tolerance test.

Atrial fibrillation and skeletal musculopenia are common diseases in elderly patients, and the two conditions share the common risk factors and pathogenesis, and interact with each other during their occurrence and development. This article reviews the research advances on the epidemiology, risk factors, pathogenesis of atrial fibrillation and sarcopenia in the elderly, as well as the screening, evaluation and comprehensive management of elderly patients with atrial fibrillation combing sarcopenia.

Objective:To investigate the hemodynamic characteristics of transverse sinus with sigmoid sinus wall dehiscence (SSWD) of pulsatile tinnitus (PT) based on 4D flow MRI.Methods:Retrospective analysis was performed on all patients admitted to Beijing Friendship Hospital, Capital Medical University from January 2019 to January 2021 for dehiscent sigmoid plate pulsatile tinnitus. A total of 26 patients (sides) who met the criteria and underwent 4D flow MRI were included. A total of 26 subjects (46 sides), matched 1∶1 according to gender and age, were included in the normal healthy control group. Nonparametric rank sum test, Student′s t test, and ANOVA were performed by SPSS 19.0 software. Binary Logistic regression was applied to the data with statistical significance. Results:There were more patients with dominant drainage on the affected side in PT group than in control group (73.1% vs. 42.3%). The incidence of transverse with a focal intraluminal filling defect and tapered stenosis was higher than that in control group (21.7% vs. 69.2%; 17.4% vs. 42.3%). Average through-plane velocity and maximum through-plane velocity in PT group were higher than those in control group [(33.75±13.88) cm/s vs. (15.84±7.21) cm/s; (93.19±33.55) cm/s vs. (40.40±14.40) cm/s]. The middle part and proximal end of Flow avg (ml/s) in PT group were larger than those in control group [4.69 (2.87; 5.62) ml/s vs. 2.76 (1.67; 4.99) ml/s; 3.41 (2.16; 5.47) ml/s vs. 2.67 (1.68; 4.41) ml/s]. In control group, the velocity of transverse sinus changed relatively gently, while in PT group, the velocity of proximal sinus increased significantly. Binary Logistic regression showed that SSWD PT was independently correlated with proximal maximum flow velocity [ OR=1.086(1.029-1.146), P=0.003]. Conclusion:4D flow MRI showed that the dominant drainage and higher velocity at the proximal end of the transverse sinus might be an important hemodynamic characteristics of dehiscent sigmoid plate pulsatile tinnitus.

Mild traumatic brain injury(mTBI)is a common brain injury,which is usually associated with traffic acci-dents,sports activities or explosions in military conflicts.Although the symptoms of mTBI may not be as obvious as those of moderate or severe TBI,it may lead to short-term or long-term neurological dysfunction,including visual problems,which may affect the daily life of patients.In clinical practice,there are many therapies for visual impairment in patients with mTBI,such as visual rehabilitation therapy,eye movement training,double nose occlusion,as well as prism and filter application.However,the scientific basis for these treatments is often insufficient,and there is a lack of control studies to verify their effectiveness,leading to questions about these treatments.In 2022,a group of experts proposed the"Consensus on Visual Rehabilitation of Patients with Mild Traumatic Brain Injury"to unify the definition of mTBI,evaluate existing di-agnosis and treatment methods and propose suggestions for future research,promoting more scientific and rigorous re-search.This paper interprets the consensus combined with the latest literature.

Objective:To retrieve, evaluate, and integrate the best evidence for the management of skin complications in children with percutaneous endoscopic gastrostomy (PEG) .Methods:Evidence on skin complications in children with PEG was systematically searched on BMJ Best Practice, UpToDate, CINAHL, Cochrane Library, Embase, Medline, National Institute for Health and Clinical Excellence (NICE), PubMed, Web of Science, Joanna Briggs Institute Evidence-Based Health Care Center Database in Australia, China Biology Medicine disc, China National Knowledge Infrastructure, WanFang Data, Chinese Medical Journal Full-text Database, Medlive and other domestic and foreign databases. The search period was from database establishment to August 31, 2023. Three evidence-based nursing professionals conducted quality evaluation, evidence extraction, and summarization of retrieved literature.Results:A total of six articles were included, including three guidelines, one clinical decision and two expert consensus. Eighteen pieces of evidence were formed from four aspects of perioperative nursing, ostomy tube nursing, complication management, and health education.Conclusions:The best evidence for management of skin complications in children with PEG summarized is of high quality and strong authority, which can provide evidence-based support for medical and nursing staff, aiming to reduce the incidence of skin complications in children with PEG and ensure patient safety.

Objective:To construct an operation efficiency evaluation model of rehabilitation medical equipment based on equipment status information,and to improve the operation efficiency of rehabilitation medical equipment.Methods:The operating efficiency evaluation model of medical equipment in rehabilitation department was constructed based on the state information modeling of medical equipment.A total of 35 medical devices in clinical use in the Rehabilitation Department of Shanxi Bethune Hospital from 2021 to 2023 were selected.During the operation period of the equipment from January 2021 to June 2022,the conventional management mode was adopted,and during the operation period of the equipment from July 2022 to December 2023,the operation efficiency evaluation model of medical equipment in the rehabilitation department based on equipment status information was adopted.The timeliness of equipment management,management index score,equipment failure rate and management recognition score of the two management methods were analyzed and compared.Results:The repair time,maintenance time,automatic fault response time and equipment fault information push time of the medical equipment in the rehabilitation department managed by the efficiency evaluation model were(2.36±1.35)min,(3.36±1.56)d,(4.15±2.34)min and(4.36±1.36)min,respectively,which were all less than those of conventional management,the difference was statistically significant(t=13.294,11.931,15.534,18.829,P＜0.05).The average scores of equipment resource allocation,information support,environmental protection and management performance were(89.14±6.58)points,(90.69±8.45)points,(90.69±4.39)points and(91.01±5.45)points,respectively,which were higher than those of conventional management,the difference was statistically significant(t=13.982,13.246,16.251,16.422,P＜0.05).The failure rates of monitoring equipment,ultrasonic equipment,orthodontic equipment and other rehabilitation equipment were(0.98±0.20)%,(0.99±0.22)%,(0.90±0.18)%and(1.01±0.22)%,respectively,which were lower than those of conventional management,the difference was statistically significant(t=18.627,20.941,19.715,19.505,P＜0.05).The recognition scores of engineering designers,operators and doctors involved in the use and management of medical equipment in the rehabilitation department with the equipment management using the efficiency evaluation model were(89.36±6.39),(91.57±5.36)and(92.36±4.21),respectively,which were higher than those of conventional management,the difference was statistically significant(t=9.119,11.812,13.469,P＜0.05).Conclusion:The operation efficiency evaluation model of medical equipment in rehabilitation department based on equipment status information can effectively improve the accuracy of risk management of equipment in rehabilitation department,reduce the risk coefficient of equipment operation,reduce potential safety risks,and improve the operation quality and efficiency of equipment.