Objective To analyze the prevalence of dengue fever in Guangzhou based on circuit-qi theory.Methods Data on dengue fever cases in Guangzhou from January 21,2012,to January 19,2024 were collected.And then the incidence of dengue fever was analyzed under the circuit-qi conditions of dominant qi,guest qi,celestial qi,joining of guest qi with dominant qi,and dissimilation of circuit and qi.Results Higher incidence of dengue fever in Guangzhou was presented under the circuit-qi conditions of the fifth qi of the dominant qi in each year,shaoyang minister fire of the guest qi,shaoyin monarch fire of the celestial qi,guest qi restricting dominant qi in the joining of guest qi with dominant qi,shaoyang minister fire(guest qi)joining with yangming dry-metal(dominant qi)in the pattern of guest qi restricting dominant qi.The outbreak of dengue fever under the circuit-qi conditions of dissimilation of circuit and qi showed no statistically significant difference.Conclusion Over the 12-year period from 2012 to 2024,the prevalence of dengue fever in Guangzhou exhibited a 4-5-year cyclical pattern,often with consecutive outbreaks over two years.The prevalence of dengue fever in Guangzhou is associated with the factors of dampness and heat in the theory of five circuits and six qi,while has less relation with dissimilation of circuit and qi.

Objective:To investigate the application value of 72-hour three-lead electrocardiogram(ECG)monitoring with adhesive patch(AP)in patients with palpitation.Methods:A retrospective analysis was performed for the medical history and ECG data of the patients who underwent 72-hour three-lead ECG monitoring with AP due to palpitation in The First Affiliated Hospital of Chongqing Medical University.The incidence rates of arrhythmia and transient ST-T changes were compared at 24 and 72 hours,as well as the rate difference between the detection rate of arrhythmia and transient ST-T changes at 72 hours and the detection rate at 24 hours in the context of various risk factors such as age,hypertension,hyperlipidemia,and coronary heart disease.Results:Among the 216 pa-tients with palpitation,the detection rates of various types of arrhythmia and transient ST-T changes at 72 hours were significantly higher than those at 24 hours(P<0.05).The rate difference of atrial premature beats in patients aged<60 years was significantly higher than that in patients aged≥60 years(P<0.01).The rate difference of atrial premature beats in hypertensive patients was lower than that in non-hypertensive patients(P<0.05).The rate difference of T-wave changes in patients without hypertension or coronary heart dis-ease was greater than that in patients with hypertension or coronary heart disease(P<0.01).Compared with 24-hour three-lead ECG monitoring,72-hour three-lead ECG monitoring with AP can significantly improve the detection rate of arrhythmia and transient ST-T changes.In patients with palpitation aged<60 years or without hypertension,72-hour three-lead ECG monitoring with AP is more sen-sitive to atrial premature beats which are consistent with self-perceived symptoms,and in patients with palpitation without hyperten-sion or coronary heart disease,72-hour three-lead ECG monitoring with AP is more sensitive to transient T-wave changes associated with symptoms.Conclusion:The technique of 72-hour three-lead ECG monitoring with AP greatly promotes the accuracy and timeli-ness of diagnosis,reduces the economic burden of patients with pal-pitations,and optimizes the allocation of medical resources.

Objective To develop a quality evaluation indicator system for"Internet+indwelling tubes home nursing services"for a standardised evaluation process.Methods Based on the structure-process-outcome(SPO)model,a quality assessment indicator system for"Internet+indwelling tubes home nursing services"was developed.This system was refined via a comprehensive literature review,semi-structured interviews,clinical expertise,and a two-round Delphi consultation involving 20 experts from clinical nursing,nursing management,human resource management,public health and information technology.Results The effective recovery rate from both rounds of Delphi consultation was 100.00%.The authority coefficients for two-rounds of expert consultation were both at 0.785.Kendall's W coefficients for secondary indicators were 0.201 and 0.280,and 0.214 and 0.226 for tertiary indicators,all were statistically significant(P<0.05).After 2 rounds of expert consultation,the system demonstrated strong reliability:mean importance weights for all indicators exceeded 4.0,coefficients of variation were below 0.2,and full score rates included or surpassed 20%.The finalised quality evaluation indicator system for"Internet+indwelling tubes home nursing services"included 3 primary indicators(allocation of pipeline nursing service resources,implementation of pipeline nursing service resources,and feedback on the effectiveness of pipeline nursing service resources),12 secondary indicators,and 70 tertiary indicators.Conclusion The quality evaluation indicator system for"Internet+indwelling tubes home nursing services"developed in this study is scientifically reliable,practical and applicable for evaluation of the quality of"Internet+"pipeline home nursing services.

Objective To develop a quality evaluation indicator system for"Internet+indwelling tubes home nursing services"for a standardised evaluation process.Methods Based on the structure-process-outcome(SPO)model,a quality assessment indicator system for"Internet+indwelling tubes home nursing services"was developed.This system was refined via a comprehensive literature review,semi-structured interviews,clinical expertise,and a two-round Delphi consultation involving 20 experts from clinical nursing,nursing management,human resource management,public health and information technology.Results The effective recovery rate from both rounds of Delphi consultation was 100.00%.The authority coefficients for two-rounds of expert consultation were both at 0.785.Kendall's W coefficients for secondary indicators were 0.201 and 0.280,and 0.214 and 0.226 for tertiary indicators,all were statistically significant(P<0.05).After 2 rounds of expert consultation,the system demonstrated strong reliability:mean importance weights for all indicators exceeded 4.0,coefficients of variation were below 0.2,and full score rates included or surpassed 20%.The finalised quality evaluation indicator system for"Internet+indwelling tubes home nursing services"included 3 primary indicators(allocation of pipeline nursing service resources,implementation of pipeline nursing service resources,and feedback on the effectiveness of pipeline nursing service resources),12 secondary indicators,and 70 tertiary indicators.Conclusion The quality evaluation indicator system for"Internet+indwelling tubes home nursing services"developed in this study is scientifically reliable,practical and applicable for evaluation of the quality of"Internet+"pipeline home nursing services.

Objective:To investigate the current status and risk factors of central venous catheter-related thrombus（CRT）in critically ill children，and to provide evidence for proposing preventive measures.Methods:This study was a single-center cross-sectional survey.The hospitalized children with central venous catheters implanted in the intensive care unit of Shanghai Children's Medical Center,Shanghai Jiao Tong University School of Medicine from January to March 2024 were included.Based on the ultrasound diagnosis indicating CRT or the presence of visually detectable thrombi after central venous catheter removal,the children included in the study were categorized into the CRT group and the non-CRT group.The data of demographic，clinical data，laboratory tests，medication treatment，and catheter related information of the affected children were collected.Univariate and multivariate analyses were performed to identify risk factors associated with CRT.Results:A total of 328 children were included，of which 158 cases（48.2%）were female，with the median age of 35.00（9.00，88.75）months.There were 51 cases（15.6%）in CRT group and 277 cases（84.4%）in non-CRT group.After adjusted by pediatric critical illness score，multivariate binary Logistic analysis revealed that the use of normal saline for catheter flushing and sealing (adjust OR=26.52,95% CI 8.32-84.60, P<0.001),longer duration of vasoactive drug use (adjust OR=5.06,95% CI 1.93-13.26, P=0.001),higher Caprini scale score (adjust OR=3.09,95% CI 1.38-6.91, P=0.006),presence of high-risk comorbidities or complications (adjust OR=2.87,95% CI 1.11-7.45, P=0.030),longer immobilization time (adjust OR=1.13,95% CI 1.07-1.19, P<0.001),and lower international normalized ratio after catheter placement (adjust OR=0.10,95% CI 0.02-0.53, P=0.007) were independent risk factors affecting the occurrence of CRT. Conclusion:The incidence of CRT is relatively high among critically ill children,and medical staff can develop targeted intervention measures by taking relevant risk factors into consideration.

Objective:To investigate the current status and risk factors of central venous catheter-related thrombus（CRT）in critically ill children，and to provide evidence for proposing preventive measures.Methods:This study was a single-center cross-sectional survey.The hospitalized children with central venous catheters implanted in the intensive care unit of Shanghai Children's Medical Center,Shanghai Jiao Tong University School of Medicine from January to March 2024 were included.Based on the ultrasound diagnosis indicating CRT or the presence of visually detectable thrombi after central venous catheter removal,the children included in the study were categorized into the CRT group and the non-CRT group.The data of demographic，clinical data，laboratory tests，medication treatment，and catheter related information of the affected children were collected.Univariate and multivariate analyses were performed to identify risk factors associated with CRT.Results:A total of 328 children were included，of which 158 cases（48.2%）were female，with the median age of 35.00（9.00，88.75）months.There were 51 cases（15.6%）in CRT group and 277 cases（84.4%）in non-CRT group.After adjusted by pediatric critical illness score，multivariate binary Logistic analysis revealed that the use of normal saline for catheter flushing and sealing (adjust OR=26.52,95% CI 8.32-84.60, P<0.001),longer duration of vasoactive drug use (adjust OR=5.06,95% CI 1.93-13.26, P=0.001),higher Caprini scale score (adjust OR=3.09,95% CI 1.38-6.91, P=0.006),presence of high-risk comorbidities or complications (adjust OR=2.87,95% CI 1.11-7.45, P=0.030),longer immobilization time (adjust OR=1.13,95% CI 1.07-1.19, P<0.001),and lower international normalized ratio after catheter placement (adjust OR=0.10,95% CI 0.02-0.53, P=0.007) were independent risk factors affecting the occurrence of CRT. Conclusion:The incidence of CRT is relatively high among critically ill children,and medical staff can develop targeted intervention measures by taking relevant risk factors into consideration.

Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.

To explore reform paths and information technology construction models for procurement management in public hospitals,and to design effective business processes and system architectures,the Sixth Affiliated Hospital of Sun Yat-sen Univer-sity(hereinafter referred to as"Z Hospital")has taken the lead in procurement management reform.By building a digital man-agement system based on workflow,Z Hospital's procurement management system breaks down information silos,controls internal and external risks,and establishes informational supervision methods,thereby improving the efficiency of procurement activities and the quality of data.This paper uses the construction practice of Z Hospital's procurement management system as a case study to review the current status and issues of procurement management reform in public hospitals from the perspective of internal con-trol development.It analyzes the potential risks of information technology construction,target functions,system architecture,and application effects,providing practical experience for the informatization of procurement operations in public hospitals from both technical and theoretical perspectives.

This article introduces the establishment of purchase-management separation system in a tertiary comprehen-sive hospital in Guangzhou as a case study.To realize high-quality development,this hospital standardized its procurement man-agement,strengthened prevention and control of risks in integrity,and implemented procurement project performance.By doing these,the hospital proposed a specific plan from multi-facets such as establishment of internal management system,separation of duty and right,and risk prevention and control.These measures clarified a links of whole procurement process,specified the du-ties,improved the communication between procurement and management.Consequently,procurement performance and efficiency were notably improved.Their achievements provide practical references for publish hospitals to establish purchase-management separation systems,thereby promoting high-quality development of public hospital.

As the detection rate of pancreatic cystic lesions(PCL)increases,artificial intelligence(AI)has made breakthroughs in the imaging workflow of PCL,including image post-processing,lesion detection,segmentation,diagnosis and differential diagnosis.AI-based image post-processing can optimize the quality of medical images and AI-assisted models for lesion detection,segmentation,diagnosis and differential diagnosis significantly enhance the work efficiency of radiologists.This article reviews the application progress of AI in PCL imaging and provides prospects for future research directions.