Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective To develop a novel type of transparent simulation manikin as a surgical training model to meet the surgical treatment demand on the medical train.Methods A transparent manikin was developed with the steps of basic data collection,motherboard design and manufacture and module production and assembly.Firstly,basic data collection was carried out with reference to standardized human anatomy and parameters.Secondly,some software such as UG NX7.5 was used to construct the motherboard of the manikin.Finally,module production and assembly were performed with the materials of acrylic,transparent rubber,silicone and hydrogel and the technology of silicone infusion.Results The transparent manikin developed had its anatomy structure close to that of the real body and high visuality for its internal and external components,which simulated a variety of war wounds and thus could be integrated with the surgical training scenarios on the medical train effectively.Conclusion The transparent manikin developed is characterized by high visuality,modularity and blood flow,and meets the demands for surgical training on the medical train.[Chinese Medical Equipment Journal,2025,46(6):111-115]

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objective To analyze the application of in-use laparoscopes in clincal departments to enhance the laparoscope's effectiveness.Methods The effective utilization data of 29 laparoscopes from January 2024 to June 2024 were acquired with an hospital intelligent medical device management platform.Comparisons were carried out in terms of average daily workload,average daily hours of use and average daily efficiency between the laparoscopes from different departments and brands with non-parametric Kruskal-Wallis test and between the conventional and 3D laparoscopes with non-parametric Mann-Whitney U test.Pearson's correlation coefficient was used to analyze the correlation between the number of years of laparoscope use and the average daily workload,the average daily hours of use,and the average daily efficiency and the chi-square test was applied to investigating the relationship between the surgery grade and the type of equipment selected.Results Thoracic sugery department had the highest average daily workload(3.82 person-time),while the general medical department had the highest average daily hours of use(443.76 min)and the highest daily efficiency(92.45％).There were significant differences between the laparoscopes from different departments in average daily workload,average daily hours of use and average daily efficiency(P＜0.05).Brand D laparoscope behaved the best among brands of laparoscopes with the highest average daily workload(3.72 person-time),average daily hours of use(394.41 min)and average daily efficiency(82.17％).There were sig-nificant differences between the brands of laparoscopesin average daily workload,average daily hours of use and average daily efficiency(P＜0.05).3D laparoscopes obviously gained advantages over the conventional ones in average daily workload,average daily hours of use and average daily efficiency(P＜0.05).The number of years of use correlated negatively with average daily workload,average daily hours of use and average daily efficiency,with Pearson correlation coefficients being-0.095,-0.039 and-0.039 respectively.Grade Three and Four surgeries had significant differences in types of selected equipment(P＜0.001),and 3D laparoscopes were preferred for Grade Four surgery.Conclusion Utilization analysis of laparoscopes provides data support for optimized application and setup of laparoscopes.[Chinese Medical Equipment Journal,2025,46(2):87-91]

Objective To carry out quality control testing of anesthesia ventilators to ensure the reliability and safety during their clinical use.Methods Totally 88 anesthesia ventilators used in some hospital underwent quality control testing in terms of tidal volume,peak airway pressure and positive end-expiratory pressure by using a gas flow analyzer according to JJF(E)61-2020 Calibration Specification of Anesthetic Machines,which included 31 ones,36 ones,12 ones and 9 ones respectively from brand A,B,C and D.The Kruskal-Wallis test was used to analyze the variability of the measured values and errors of the performance indicators between different brands of anesthesia ventilators,the chi-square test was applied to discussing the variability of the accuracy class of the performance indicators between different brands of anesthesia ventilators,and the Pearson correlation coefficient was adopted to investigate the correlation between the years of use and the absolute values of the relative errors of the performance indicators.Results The 88 anesthesia ventilators had the overall pass rate for quality control testing being 42.05%,of which,brand B had the highest pass rate(52.78%)and brand C had the lowest pass rate(8.33%).Brand B gained advantages in tidal volume when compared with brand A,C and D,with the differences being significant(P<0.05);brand A behaved the best in peak airway pressure and positive end-expiratory pressure when compared with brand B,C and D,with the differences being significant(P<0.05).Brand A had the highest proportion(63.08%)of distinction and credit in terms of the three performance indicators.The absolute value of the relative error in tidal volume was positively correlated with the years of use at the 3 measurement points for setting values of 400,600,and 800 mL respectively(P<0.05),and there was a significant correlation between the absolute value of the relative error and the years of use at a peak airway pressure setting of 10 cmH2O(1 cmH2O=98.07 Pa)(P<0.05).Conclusion Quality control testing of anesthesia ventilators contributes to finding the risks during their application,which can be an effective tool to ensure the safety of anesthesia ventilators used in medical institutions.[Chinese Medical Equipment Journal,2025,46(9):75-80]

PURPOSE: To assess the relationship between dislocation and functional outcomes in supination-external rotation (SER) ankle fractures. METHODS: A retrospective case series study was performed on patients with ankle fractures treated surgically at a large trauma center from January 2015 to December 2021. The inclusion criteria were young and middle-aged patients of 18 - 65 years with SER ankle fractures that can be classified by Lauge-Hansen classification and underwent surgery at our trauma center. Exclusion criteria were serious life-threatening diseases, open fractures, fractures delayed for more than 3 weeks, fracture sites ≥ 2, etc. Then patients were divided into dislocation and no-dislocation groups. Patient demographics, injury characteristics, surgery-related outcomes, and postoperative functional outcomes were collected and analyzed. The functional outcomes of SER ankle fractures were assessed postoperatively at 1-year face-to-face follow-up using the foot and ankle outcome score (FAOS) and American Orthopedic Foot and Ankle Society ankle hindfoot score and by 2 experienced orthopedic physicians. Relevant data were analyzed using SPSS version 22.0 by Chi-square or t-test. RESULTS: During the study period, there were 371 ankle fractures. Among them, 190 (51.2%) were SER patterns with 69 (36.3%) combined with dislocations. Compared with the no-dislocation group, the dislocation group showed no statistically significant differences in gender, age composition, fracture type, diabetes, or smoking history, preoperative waiting time, operation time, and length of hospital stay (all p > 0.05), but a significantly higher Lauge-Hansen injury grade (p < 0.001) and syndesmotic screw fixation rate (p = 0.033). Moreover, the functional recovery was poorer, revealing a significantly lower FAOS in the sport/rec scale (p < 0.001). Subgroup analysis showed that among SER IV ankle fracture patients, FAOS was much lower in pain (p = 0.042) and sport/rec scales (p < 0.001) for those with dislocations. American Orthopedic Foot and Ankle Society ankle hindfoot score revealed no significant difference between dislocation and no-dislocation patients. CONCLUSION Dislocation in SER ankle fractures suggests more severe injury and negatively affects functional recovery, mainly manifested as more pain and poorer motor function, especially in SER IV ankle cases.
Humans ; Ankle Fractures/physiopathology* ; Male ; Female ; Retrospective Studies ; Adult ; Middle Aged ; Supination ; Aged ; Young Adult ; Rotation ; Joint Dislocations/surgery* ; Fracture Fixation, Internal/methods* ; Adolescent ; Recovery of Function ; Treatment Outcome

OBJECTIVE: To analyze the clinical features of acute myeloid leukemia patients with DEK-NUP214 fusion gene positive. METHODS: The DEK-NUP214 fusion gene was amplified by multi-nested PCR in 26 patients admitted to the First Affiliated Hospital of Soochow University from January 2018 to October 2023, and the disease course and post-transplant survival data were obtained by searching outpatient and inpatient medical records and telephone follow-up. RESULTS: The median follow-up time of pateints was 21.25（0.9-60.2） months. Among 26 patients with DEK-NUP214 fusion gene positive AML, 15 patients had FLT3-ITD gene mutation positive. One patient died after abandoning treatment due to non-remission of induction chemotherapy, one died due to infection, and 23 patients received allo-HSCT after achieving CR, of which one patient died within one month after transplantation due to multiple infections and one died due to severe pulmonary infection that did not respond to treatment. One patient received allo-HSCT in non-remission state and later died due to recurrence. CONCLUSION DEK-NUP214 fusion gene positive AML is a type of acute leukemia subtype with high risk and poor prognosis. Allo-HSCT treatment at the early stage of disease remission is the most effective way to improve the prognosis of patients.
Humans ; Leukemia, Myeloid, Acute/genetics* ; Poly-ADP-Ribose Binding Proteins ; Oncogene Proteins, Fusion/genetics* ; Nuclear Pore Complex Proteins/genetics* ; Oncogene Proteins/genetics* ; Chromosomal Proteins, Non-Histone/genetics* ; Male ; Female ; Adult ; Mutation ; Hematopoietic Stem Cell Transplantation ; Middle Aged

OBJECTIVE: To investigate the anti-tumor effects of cinobufacini (CINO) on hepatocellular carcinoma (HCC) induced by des-gamma-carboxy-prothrombin (DCP) and to uncover the underlying mechanisms. METHODS: The inhibitory effect of CINO on HCC cell proliferation was evaluated using the cell counting kit-8 method, and the apoptosis rate was quantified using flow cytometry. Immunofluorescence and Western blot analyses were used to investigate the differential expression of proteins associated with cell growth, apoptosis, migration, and invasion pathways after CINO treatment. The therapeutic potential of CINO for HCC was confirmed, and the possibility of combining cinobufacini with c-Met inhibitor for the treatment of primary HCC was further validated by in vivo experiments. RESULTS: Under the induction of DCP, CINO inhibited the activity of HCC cells, induced apoptosis, and inhibited migration and invasion. Upon the induction of DCP, CINO regulated c-Met activation and the activation of the phosphatidylinositol-3 kinase/protein kinase B (PI3K/AKT) and mitogen-activated protein kinase kinase/extracellular signal-regulated kinase (MEK/ERK) pathways. In a mouse model of HCC, CINO exhibited significant antitumor effects by inhibiting the phosphorylation of c-Met and the downstream PI3K/AKT and MEK/ERK pathways in tumor tissues. CONCLUSIONS CINO inhibited HCC cell growth, promoted apoptosis, and suppressed HCC cell invasion and migration by targeting c-Met and PI3K/AKT and MEK/ERK signaling pathways under DCP induction.
Carcinoma, Hepatocellular/drug therapy* ; Proto-Oncogene Proteins c-met/metabolism* ; Liver Neoplasms/drug therapy* ; Signal Transduction/drug effects* ; Animals ; Humans ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Amphibian Venoms/therapeutic use* ; Cell Line, Tumor ; Neoplasm Metastasis ; Cell Survival/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Neoplasm Invasiveness ; Mice, Inbred BALB C ; Mice, Nude ; Mice ; Male ; Bufanolides/therapeutic use* ; Protein Precursors ; Prothrombin ; Biomarkers