Objective To evaluate answers to typical clinical questions related to neuro-ophthalmology generated by Artificial Intelligence(AI)Large Language Models(LLM)and to explore the performance of neuro-ophthalmology-related questions on LLM in a multidimensional manner using objective and expert assessment.Methods Multicenter,random-ized,cross-sectional pilot study.Thirty typical questions related to neuro-ophthalmology were selected based on four per-spectives:definition,etiology,clinical manifestations and signs,and treatment and prognosis,and were analyzed quantita-tively using Deepseek,Wenxin Yiyin 4.0,Doubao,and Kimi 1.5,which are four open-source LLMs in China,and quantita-tively analyzed with objective assessment;and quantitatively rated by three ophthalmologists using expert assessment for 120 answer texts.Three ophthalmology experts quantitatively scored the 120 answer texts.Three ophthalmologists quantita-tively scored the 120 answer texts.Level 3,5,and 4 Likert scales were developed according to the completeness,accura-cy,professionalism,relevance,and criticality of the question texts,respectively.The best-performing LLM was selected,and its performance was observed across the four types of questions.Additionally,three other experts assessed whether the best-performing one could be evaluated as a substitute for real-world doctor-patient communication.Results In the objective Chinese text reading difficulty analysis,the differences in total word count among the four LLMs were statistically significant(all P＜0.001).Of the four LLMs,Kimi 1.5 performed the best,with frequencies of 61％,29％,and 41％for the highest scores in completeness(3),accuracy and professionalism(5),and relevance and usefulness(4),respective-ly.Kimi 1.5 performed more consistently on the questions on the four areas of neuro-ophthalmologic disorders:definition,etiology,clinical manifestations and signs,treatment,and prognosis,with no between-group differences(P＞0.05).Con-clusion Chinese language LLMs have great potential in the clinical application of neuro-ophthalmology.Kimi 1.5 outper-forms other LLMs in terms of completeness,accuracy,professionalism,relevance,and usefulness,but it still cannot re-place real-world doctor-patient communication.There is a need to explore new diagnostic and therapeutic model of AI+physician in the future.

Objective To explore the impact of interactions among serum CD19+,interleukin-4(IL-4),and Epstein-Barr virus(EBV)DNA load on the occurrence of pediatric infectious mononu-cleosis(IM).Methods A total of 100 IM pediatric patients were enrolled as study group,and 200 healthy pediatric controls were recruited during the same period.Baseline characteristics,EBV-DNA load,CD19+levels,and IL-4 expression were compared between the two groups.A multivariate Lo-gistic regression model was used to analyze the influencing factors of IM.The interactions between EBV-DNA load and CD19+,IL-4 were analyzed based on an additive model.Receiver operating characteristic(ROC)curves were plotted to assess the diagnostic performance of EBV-DNA load,CD19+,IL-4 alone and their combination for IM.Results Significant differences were observed be-tween the two groups in terms of EBV-DNA load,CD19+levels,IL-4 expression,neutrophil-to-lym-phocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),red cell distribution width(RDW),atypical lymphocyte ratio,and VCA-IgM positivity(P＜0.05).Multivariate Logistic regression anal-ysis revealed that EBV-DNA load,CD19+,IL-4,RDW,atypical lymphocyte ratio,and VCA-IgM positivity were independent influencing factors for IM occurrence(P＜0.05).Additive interaction analysis showed that when EBV-DNA load and IL-4 were simultaneously exposed,the relative excess risk due to interaction(RERI)was 63.888,the attributable proportion due to interaction(API)was 77.312,and the synergy index(S)was 4.532;when EBV-DNA load and CD19+were simul-taneously exposed,RERI was 2.655,API was 16.773,and S was 1.210.ROC curve analysis indi-cated that the area under the curve(AUC)for the combined diagnosis of IM using EBV-DNA load,CD19+,and IL-4 was 0.945,which was superior to that of single indicator and dual combination.Conclusion Serum CD19+,IL-4,and EBV-DNA load exhibit additive interactions in the occur-rence of IM,and simultaneous exposure increases the risk of IM.Combined detection of these bio-markers enhances the diagnostic performance for IM,providing a reference for clinical diagnosis and treatment.

Objective To evaluate answers to typical clinical questions related to neuro-ophthalmology generated by Artificial Intelligence(AI)Large Language Models(LLM)and to explore the performance of neuro-ophthalmology-related questions on LLM in a multidimensional manner using objective and expert assessment.Methods Multicenter,random-ized,cross-sectional pilot study.Thirty typical questions related to neuro-ophthalmology were selected based on four per-spectives:definition,etiology,clinical manifestations and signs,and treatment and prognosis,and were analyzed quantita-tively using Deepseek,Wenxin Yiyin 4.0,Doubao,and Kimi 1.5,which are four open-source LLMs in China,and quantita-tively analyzed with objective assessment;and quantitatively rated by three ophthalmologists using expert assessment for 120 answer texts.Three ophthalmology experts quantitatively scored the 120 answer texts.Three ophthalmologists quantita-tively scored the 120 answer texts.Level 3,5,and 4 Likert scales were developed according to the completeness,accura-cy,professionalism,relevance,and criticality of the question texts,respectively.The best-performing LLM was selected,and its performance was observed across the four types of questions.Additionally,three other experts assessed whether the best-performing one could be evaluated as a substitute for real-world doctor-patient communication.Results In the objective Chinese text reading difficulty analysis,the differences in total word count among the four LLMs were statistically significant(all P＜0.001).Of the four LLMs,Kimi 1.5 performed the best,with frequencies of 61％,29％,and 41％for the highest scores in completeness(3),accuracy and professionalism(5),and relevance and usefulness(4),respective-ly.Kimi 1.5 performed more consistently on the questions on the four areas of neuro-ophthalmologic disorders:definition,etiology,clinical manifestations and signs,treatment,and prognosis,with no between-group differences(P＞0.05).Con-clusion Chinese language LLMs have great potential in the clinical application of neuro-ophthalmology.Kimi 1.5 outper-forms other LLMs in terms of completeness,accuracy,professionalism,relevance,and usefulness,but it still cannot re-place real-world doctor-patient communication.There is a need to explore new diagnostic and therapeutic model of AI+physician in the future.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread worldwide and threatened human's health. With the passing of time, the epidemiology of coronavirus disease 2019 evolves and the knowledge of SARS-CoV-2 infection accumu-lates. To further improve the scientific and standardized diagnosis and treatment of maternal SARS-CoV-2 infection in China, the Chinese Society of Perinatal Medicine of Chinese Medical Association commissioned leading experts to develop the Recommendations for the Diagnosis and Treatment of Maternal SARS-CoV-2 Infection under the guidance of the Maternal and Child Health Department of the National Health Commission. This recommendations includes the epidemiology, diagnosis, management, maternal care, medication treatment, care of birth and newborns, and psychological support associated with maternal SARS-CoV-2 infection. It is hoped that the recommendations will effectively help the clinical management of maternal SARS-CoV-2 infection.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread worldwide and threatened human’s health. With the passing of time, the epidemiology of coronavirus disease 2019 evolves and the knowledge of SARS-CoV-2 infection accumulates. To further improve the scientific and standardized diagnosis and treatment of maternal SARS-CoV-2 infection in China, the Chinese Society of Perinatal Medicine of Chinese Medical Association commissioned leading experts to develop the Recommendations for the Diagnosis and Treatment of Maternal SARS-CoV-2 Infection under the guidance of the Maternal and Child Health Department of the National Health Commission. This recommendations includes the epidemiology, diagnosis, management, maternal care, medication treatment, care of birth and newborns, and psychological support associated with maternal SARS-CoV-2 infection. It is hoped that the recommendations will effectively help the clinical management of maternal SARS-CoV-2 infection.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread worldwide and threatened human’s health. With the passing of time, the epidemiology of coronavirus disease 2019 evolves and the knowledge of SARS-CoV-2 infection accumulates. To further improve the scientific and standardized diagnosis and treatment of maternal SARS-CoV-2 infection in China, the Chinese Society of Perinatal Medicine of Chinese Medical Association commissioned leading experts to develop the Recommendations for the Diagnosis and Treatment of Maternal SARS-CoV-2 Infection under the guidance of the Maternal and Child Health Department of the National Health Commission. This recommendations includes the epidemiology, diagnosis, management, maternal care, medication treatment, care of birth and newborns, and psychological support associated with maternal SARS-CoV-2 infection. It is hoped that the recommendations will effectively help the clinical management of maternal SARS-CoV-2 infection.

Objective:To explore the influencing factors of instrument and equipment alarm fatigue risk of nurses in pediatric intensive care unit (ICU) , establish a prediction model and verify its prediction efficiency.Methods:A multi-stage sampling method was used to select 300 pediatric ICU nurses from 2 tertiary children's specialized hospitals in Henan Province from October 2020 to March 2021 as the research objects for model construction. A total of 300 questionnaires were distributed and 225 valid questionnaires were recovered. From April to May 2021, 110 pediatric ICU nurses in Henan Children's Hospital were selected for model validation, 110 questionnaires were distributed and 100 valid questionnaires were recovered. A self-made baseline rating scale was used to collect relevant baseline information. The medical equipment alarm management questionnaire and the equipment alarm fatigue related scale were used for investigation. The Logistic regression model was used to establish the prediction model, Hosmer-Lemeshow test was used to test the fitting effect of the model and the receiver operating characteristic curve was used to evaluate the prediction value.Results:The 225 pediatric ICU nurses scored (48.67±4.35) for medical equipment alarm management factors, (39.67±3.67) for obstacles to medical equipment alarm management and (22.32±2.83) for clinical alarm fatigue. The results of multivariate analysis showed that the factors of age less than 30 years old, working years less than 5 years, working with illness, nurses with professional titles below, shift work, no habit of setting medical equipment alarms, and medical equipment management factors were all pediatric ICU nurses' equipment alarm fatigue. The independent risk factor of ICU ( P<0.05) . In this study, a prediction model was finally constructed. The area under the receiver operating characteristic curve (AUC) of the model was 0.887, the sensitivity was 0.891 and the specificity was 0.843. The validation data results showed that AUC value of the model was 0.901, the sensitivity was 0.912 and the specificity was 0.857. Conclusions:Pediatric ICU nurses have different degrees of equipment alarm fatigue. This research model can reliably predict the alarm fatigue risk of their equipment and equipment, suggesting that high-risk factors should be paid attention to and timely intervention measures should be carried out to reduce the risk of related adverse events.

Objective:To evaluate the application efficacy of enhanced recovery after surgery(ERAS)in laparoscopic colorectal cancer surgery in primary hospitals.Methods:A total of 116 patients who underwent laparoscopic colorectal cancer surgery from January 2017 to December 2018 at our hospital were enrolled in this study.According to the perioperative rehabilitation program, 116 patients were divided into the group A(n=67, receiving enhanced recovery after surgery)and the group B(n=49, receiving traditional recovery after surgery).Results:The incidences of preoperative thirst and hunger were lower in the group A than in the group B(11.9% vs.53.1%, 16.4% vs.51.0%, χ2=23.10 and 15.83, respectively, P<0.001). The levels of CRP and blood glucose in the two groups were significantly higher after operation than before operation, and reached the peak values on the 3rd day after the operation.At different time points after operation, CRP levels and blood glucose levels were higher in the group B than in the group A(all P<0.05). On the 7th day after operation, blood glucose level was recovered to the preoperative level in the group A, while it was not so in the group B. The incidence of complication in the group A was similar to the group B(7.46% vs.12.2%, χ2=0.75, P>0.05). The hospitalization period was shorter and the hospitalization cost was less in the group A than in the group B(8.16±1.33)d vs.(15.39±2.81)d, (46100±1800)yuan vs.(56900±5600)yuan, t=10.98 and 9.96, P=0.000). Conclusions:The application of enhanced recovery after surgery is beneficial for perioperative safety, can reduce surgical stress response, promote postoperative recovery, shorten hospitalization time after surgery and reduce hospitalization costs in laparoscopic colorectal cancer surgery.

Continuous renal replacement therapy (CRRT) will eliminate antibiotics while eliminating water and solutes from the body,so adjusting antibiotics dose timely is important for patients undergoing CRRT.Pharmacological characteristics of antimicrobials,pathological and physiological statues of the patients,effects of CRRT on antibiotics clearance and other factors would affect the pharmacokinetics of antibiotics.In order to achieve the desired therapeutic effect,the monitoring of drug concentration and individualizing the dosage of antibiotics are cecessary.

Objective To investigate the efficacy and safety of gastric peroral endoscopic myotomy ( G-POEM) for postsurgical gastroparesis. Methods A retrospective analysis was performed on data of 47 patients with gastroparesis after subtotal gastrectomy, who underwent G-POEM at Zhongda Hospital Southeast University form August 2016 to June 2018. G-POEM procedure, complications related to G-POEM, and improvement of symptoms and gastric emptying function were observed. Results All patients underwent G-POEM successfully. No serious G-POEM-related complications were observed. During a follow-up period of 9. 8±5. 8 months (range 3-18 months), the scores of gastroparesis cardinal symptoms index (GCSI) were 1. 6±0. 5, 1. 2±0. 4, 1. 1±0. 6, 1. 4±0. 3 and 1. 7±0. 3 respectively at the 1st, 3rd, 6th, 12th, and 18th months after G-POEM, and all scores were lower than that before G-POEM (3. 8±1. 1, all P<0. 01). The results showed the symptoms of gastroparesis were improved significantly. Gastric emptying imaging showed the hemi-emptying time was 23. 8±8. 8 min, 21. 2±9. 5 min, 20. 9±8. 3 min and 26. 4±7. 8 min at the 1st, 6th, 12th and 18th months after G-POEM, respectively, significantly shorter than that before G-POEM (67. 8±12. 5 min, all P<0. 01). Three-dimensional ultrasonography results of gastric antrum volume showed that the hemi-emptying time was 26. 4 (21. 8, 40. 3) min, 22. 6 (13. 9, 32. 7) min, 24. 3 (18. 2, 36. 5) min and 26. 8 (16. 4, 38. 5) min at the 1st, 6th, 12th and 18th months after G-POEM, respectively, which were all significantly shorter than that before G-POEM [ 72. 5 ( 48. 3, 108. 6 ) min, all P<0. 01 ] . Conclusion G-POEM has a satisfactory long-term efficacy on the treatment of gastroparesis after subtotal gastrectomy with good safety.