OBJECTIVE To evaluate the efficacy， safety， and cost-effectiveness of posaconazole for the prevention of invasive fungal infections （IFIs）. METHODS PubMed， Embase， CNKI， Wanfang data and other Chinese and English databases were searched， as well as the official websites of related health technology assessment （HTA）. Systematic review （SR）/meta-analysis， pharmacoeconomic studies， and HTA reports of posaconazole for the prevention of IFIs were collected. The retrieval time limit was from the establishment of the database to November 1， 2025. After screening the literature， extracting the data， and evaluating the quality of the literature， the results of the included studies were descriptively analyzed. RESULTS A total of 45 studies were included， involving 17 SR/meta-analyses， 26 pharmacoeconomic studies， 1 SR/meta-analysis combined with a pharmacoeconomic study， and 1 HTA report. In terms of effectiveness， posaconazole was significantly superior to other antifungal drugs （eg.， fluconazole， itraconazole） in reducing the incidence of IFIs， the incidence of invasive aspergillosis， all-cause mortality， and IFI-related mortality （ P ＜0.05）. In terms of safety， posaconazole was significantly superior to other antifungal drugs in the incidence of total adverse reactions （ P ＜0.05）， but there was no significant difference in the incidence of serious adverse reactions， the incidence of gastrointestinal advers e reactions， drug-induced liver injury， and the withdrawal rate due to adverse drug reactions （ P ＞0.05）. In terms of cost-effectiveness， most studies have shown that posaconazole possesses more cost-effectiveness advantages. CONCLUSIONS Posaconazole demonstrates favorable efficacy， safety， and cost-effectiveness in preventing IFIs.

OBJECTIVE To evaluate the efficacy and safety of cholesterol absorption inhibitors （ezetimibe and hybutimibe） combined with statins for the treatment of dyslipidemia. METHODS Randomized controlled trials （RCTs） about above-mentioned drug combination in patients with dyslipidemia were retrieved from CNKI，PubMed and other Chinese and English databases. The retrieval time limit was from the establishment of the database to October 2025. After screening the literature，extracting the data，and evaluating the quality of the literature，network meta-analysis was performed using R software. RESULTS A total of 36 RCTs were included. Results showed that in reducing low-density lipoprotein cholesterol （LDL-C） and total cholesterol （TC）， ezetimibe+statins and hybutimibe+statins were significantly superior to statins+placebo and placebo alone （ P ＜0.05）. The top two interventions according to surface under the cumulative ranking curve （SUCRA） rankings were both ezetimibe+statins and hybutimibe+statins. In terms of triglyceride （TG） lowering， both hybutimibe+statins and ezetimibe+statins were significantly better than statins alone， statins+placebo and placebo alone （ P ＜0.05）， with hybutimibe+statins and ezetimibe+statins ranking top two by SUCRA. For apolipoprotein B （ApoB） reduction， ezetimibe+statins was significantly superior to statins alone and placebo alone （ P ＜0.05）， and the top two SUCRA rankings were ezetim ibe+statins and statins+placebo. In terms of high-density lipoprotein cholesterol （HDL-C） increase， placebo was significantly better than statins alone， hybutimibe+statins， statins+placebo， and ezetimibe+statins （ P ＜0.05）， and the top two SUCRA rankings were placebo alone and statins alone.There was no statistically significant difference in the overall incidence of adverse reactions among the interventions （ P ＞0.05）. CONCLUSIONS Ezetimibe combined with statins shows significant advantages in reducing LDL-C， TC and ApoB， while the hybutimibe combined with statins may have potential advantages in lowering TG； both combination regimens have good safety.

Digital intelligence technology is a comprehensive technical system with data as the key element and artificial intelligence as the core driving force. It provides innovative methodological support for addressing core bottlenecks in rare disease etiology research, including sample scarcity, high-dimensional datacomplexity, intricate pathogenic mechanisms, and challenges in causal validation. This paper systematically reviews the application pathways and current implementation of digital intelligence across four major stages of rare disease research, including etiological clue mining, causal inference, mechanism analysis, and clinical translation. Furthermore, it summarizes the technical strengths, existing limitations, and developmental challenges, aiming to inform optimization of the research paradigm and promote the sustainable advancement of rare disease research.

ObjectiveTo investigate the relationship between Jiaotai pill (JTP), its main component berberine (BBR), and the serotonin (5-HT) system in regulating islet hormone secretion and alleviating pancreatic β-cell dysfunction during type 2 diabetes mellitus (T2DM) progression.MethodsT2DM rat model was established using a high-fat diet and streptozotocin injection. JTP, BBR, and Metformin were intragastrically administered for 35 days. The analyzed indices included blood glucose, blood lipids, islet hormones, and proteins related to 5-HT synthesis, secretion, and transport. Additionally, an in vitro model of glucose injury in islet cells was established to study the effects of JTP and BBR on islet hormone secretion following tryptophan hydroxylase 1 (TPH1) inhibition.ResultsJTP and BBR significantly improved blood glucose and lipid levels and islet morphology in T2DM rats. Both models exhibited reduced islet 5-HT levels and impaired islet hormone secretion. However, the administration of JTP and BBR reversed these effects. Furthermore, JTP and BBR upregulated the expression of TPH1(P = .0194, P = .0413) transglutaminase 2 (TGase2; P = .0492, P = .0349), serotonin transporter (SERT, P = .0090), and 5- hydroxytryptamine 1F receptor (5-HT1FR) in the islet 5-HT pathway (P = .0194). In the cell model, the regulatory effects of JTP and BBR on islet hormone levels were significantly weakened after TPH1 inhibition (P = .001), suggesting that JTP and BBR influence islet hormone secretion through the pancreatic 5-HT system.ConclusionThe islet 5-HT system is correlated with islet hormone secretion dysfunction in T2DM. JTP and BBR can improve islet hormone secretion by activating the TPH1/TGase2/SERT/5-HT1FR pathway in the islet 5-HT system in T2DM rats.

Liposomes serve as critical carriers for drugs and vaccines,with their biological effects influenced by their size.The microfluidic method,renowned for its precise control,reproducibility,and scalability,has been widely employed for liposome preparation.Although some studies have explored factors affecting liposomal size in microfluidic processes,most focus on small-sized liposomes,predominantly through experimental data analysis.However,the production of larger liposomes,which are equally significant,remains underexplored.In this work,we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning(ML)model capable of accurately predicting liposomal size.Experimental validation was conducted using a staggered herringbone micromixer(SHM)chip.Our findings reveal that most investigated variables significantly influence liposomal size,often interrelating in complex ways.We evaluated the predictive performance of several widely-used ML algorithms,including ensemble methods,through cross-validation(CV)for both lipo-some size and polydispersity index(PDI).A standalone dataset was experimentally validated to assess the accuracy of the ML predictions,with results indicating that ensemble algorithms provided the most reliable predictions.Specifically,gradient boosting was selected for size prediction,while random forest was employed for PDI prediction.We successfully produced uniform large(600 nm)and small(100 nm)liposomes using the optimised experimental conditions derived from the ML models.In conclusion,this study presents a robust methodology that enables precise control over liposome size distribution,of-fering valuable insights for medicinal research applications.

Objective:To establish a chain management model for blood glucose in critically ill patients after cardiac surgery and analyze its clinical effectiveness, and to provide a reference for related clinical nursing practices.Methods:A quasi-experimental study design was adopted. Using convenience sampling, 120 critically ill patients after cardiac surgery admitted to Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine were selected as study subjects. They were divided into groups based on the time of admission to the intensive care unit after surgery. Sixty patients admitted from March to May 2024 were assigned to the control group and received conventional blood glucose management. Another 60 patients admitted from June to August 2024 were assigned to the observation group and received the chain management model for blood glucose control in addition to the conventional approach. Blood glucose levels and quality indicators of blood glucose management (including maximum blood glucose fluctuation, time in target glucose range, duration of insulin use, incidence of hypoglycemia, etc.) were compared between the two groups.Results:The control group included 27 males and 33 females, with an age of 63.00(59.00, 69.25) years; the observation group included 28 males and 32 females, with an age of 66.00(60.00, 70.00) years. The blood glucose levels of the observation group on postoperative days 2, 3, 4 were 9.10(8.68, 9.90), 8.90(8.40, 10.00), 8.75(7.38, 9.03) mmol/L, respectively, which were lower than those of the control group [10.30(9.80, 11.00), 9.95(9.40, 11.05), 9.30(8.10, 10.02) mmol/L], with a statistically significant difference ( Z=-5.85, -4.95, -3.50, all P<0.05). The maximum blood glucose fluctuation in the observation group was (4.09 ± 2.45) mmol/L, lower than that of the control group [(5.19 ± 2.47) mmol/L], with a statistically significant difference ( t=2.46, P<0.05). The time in the target glucose range was 67.00(60.00, 75.00)% in the observation group, higher than that of the control group 52.00(45.00, 60.00)%, with a statistically significant difference ( Z=-6.57, P<0.05). The duration of insulin use was 6.00(5.00, 7.00) h in the observation group, shorter than that of the control group [13.00(9.75, 15.32) h], with a statistically significant difference ( Z=-8.68, P<0.05). The incidence of hypoglycemia was 3.33%(2/60) in the observation group and 15.00%(9/60) in the control group, with a statistically significant difference ( χ2=4.90, P<0.05). The mechanical ventilation time, ICU stay, and total hospital stay in the observation group were 42.00(37.00, 89.25) h, 6.00(5.00, 7.00) d, and 12.00(11.75, 13.00) d, respectively, which were shorter than those of the control group [96.00(86.25, 98.00) h, 7.00(7.00, 10.00) d, and 13.00(11.75, 15.00) d], with a statistically significant difference ( Z=8.67, 17.57, 4.73, all P<0.05). Conclusions:The implemented chain management model for blood glucose control meets the comprehensive requirements of blood glucose management. It not only reduces blood glucose fluctuations and decreases the incidence of hypoglycemia but also effectively improves the quality of blood glucose management in critically ill patients after cardiac surgery, enhances the safety of blood glucose control, and promotes patient recovery.

Objective Based on clinical consultation practices,it systematically evaluates the outcomes of remote video consultation services,identifies key factors influencing these outcomes,and provides empirical evidence for optimizing telemedicine services.Methods It recruited 201 patients nationwide requiring video consultations,objectively recorded diagnostic outcomes,and analyzed influencing factors using hierarchical regression.Results Among the 201 participants,62(30.84％)achieved effective diagnosis and treatment,while 139(69.16％)did not meet expected outcomes.Hierarchical regression results revealed that disease category,physician title,availability of auxiliary diagnostic information,and presence of assisting personnel significantly impacted consultation outcomes(P＜0.05).Higher physician titles,richer auxiliary diagnostic information provided by patients,and involvement of assisting personnel correlated with better alignment of outcomes with expectations.Conclusion Significant variations in video consultation outcomes were observed,primarily influenced by assisting personnel,physician qualifications,auxiliary diagnostic information and disease category.It is suggested to introduce a large artificial intelligence model for pre-triage,set up standardized video consulting rooms in primary medical and health institutions and configure collaborative personnel,and build a regional patient information sharing platform,so as to improve patient satisfaction during treatment and promote the further development and optimization of video consultation.

Objective In this study,2,4-dinitrochlorobenzene(DNCB)was used to induce the establishment of an atopic dermatitis(AD)model in BALB/c homozygous mice to simulate the skin inflammatory complications in patients with clinical malignancies.Methods BALB/c mice were divided into different groups:negative control group(NC group),model group(MODEL group),atopic dermatitis group(AD group),and dexamethasone group(DEX group).After the mice in MODEL group and DEX group were inoculated with S-180 tumor cells in the axilla,MODEL group,AD group and DEX group were stimulated with DNCB on the dorsal skin and the ear to establish an animal model of atopic dermatitis in tumor-bearing mice.Changes in body weight were observed and recorded,the dorsal skin condition of mice was assessed after the last administration of the drug,the spleen was taken to calculate the spleen coefficient,the difference in the mass of mouse ear slices was determined to calculate the degree of auricular swelling and the rate of inhibition of swelling,and histopathological tests were performed on the dorsal skin tissues to detect the levels of IgE,TNF-α,IL-4,and IL-17 in the serum using an ELISA assay.Results Compared with the NC group,the skin of mice in the MODEL and AD groups showed erythematous,papular,scaly and mossy changes,accompanied by weight loss,and a significant increase in splenic coefficient and auricular swelling.Pathologic findings showed an incomplete skin structure,a significant increase in skin thickness,a large infiltration of inflammatory cells,and an increase in the number of mast cells.Serum levels of IgE,TNF-α,IL-4 and IL-17 were increased.Compared with the MODEL group,the DEX group showed an improvement in all the assays.Conclusions DNCB excitation can successfully establish an animal model of AD in hormonal mice,which is drug-controllable,which provides a useful scientific tool for conducting scientific research related to malignant tumors and skin inflammation.

Objective:To establish and optimize a novel method, focus forming assay (FFA), for quantitation of influenza A virus (FluA) and compare its application performance with traditional plague forming assay (PFA).Methods:The foci chromogenic effects of three peroxidase substrates in immunostaining were compared. The PFA and FFA methods were used to explore FluA incubation times and plaque morphology on 12-well plates, and to determine optimal incubation times and virus adsorption volumes for different FluA subtypes on 96-well plates. The correlation between FFA and PFA was evaluated, and the optimized FFA was applied to the in vitro antiviral efficacy analysis of Favipiravir and neutralization test against different subtypes of FluA. Results:TRUEBLUE substrate was identified as the optimal substrate for foci visualization. Compared with the PFA, the FFA showed improved sensitivity and reduced detection time in FluA titration, and good correlation was shown between the two methods′ results. By replacing the 96-well plate with the 12-well plate for FFA titration of different subtypes of FluA, the detection time was shortened, and the amount of serum samples used could be further reduced by optimizing the virus adsorption volume. The half-maximal effective concentration of favipiravir against influenza viruses assessed by the FFA and PFA methods showed no significant difference, and was consistent with the results obtained from quantitative PCR. Additionally, the focus reduction neutralization test and hemagglutination inhibition assays demonstrated strong correlation in determining antibody titers against FluA in serum neutralization assays.Conclusions:The improved FFA method developed here provides a more efficient experimental tool for FluA titration, antiviral drug screening and broad-spectrum vaccine evaluation.

Objective:To estimate the economic burden of 14 chronic diseases among middle-aged and elderly people in China.Methods:This cross-sectional study was based on longitudinal data from five waves (2011 to 2020) of the China Health and Retirement Longitudinal Study (CHARLS). Participants aged 45 and over who had been diagnosed with exactly one target chronic disease were included in the study. The 14 chronic diseases included: hypertension, dyslipidemia, diabetes or elevated blood glucose, malignant tumors, chronic pulmonary diseases, liver diseases, heart diseases, stroke, kidney diseases, digestive system diseases, emotional and mental diseases, memory-related diseases, arthritis or rheumatic diseases, and asthma. The economic burden of disease was measured in terms of both direct and indirect economic burden, with the results adjusted using a healthcare-specific Consumer Price Index (CPI). The direct economic burden included direct medical and non-medical burden. The human capital method was employed to calculate the indirect economic burden. A generalized linear mixed model (GLMM) was conducted to compare the differences in the economic burden between urban and rural areas, with provinces and prefecture-level cities set as random effects and residence (urban or rural areas) as fixed effects to control for the effects of geographic hierarchical structure. Gender, age and educational attainment were also included as covariates to control for confounding factors. The model′s robustness was assessed by comparing the significance of urban-rural differences before and after adding the covariates.Results:The median annual economic burden of the 14 chronic diseases among the middle-aged and elderly population in China ranged from 7 565 to 17 174 CNY, of which the direct economic burden ranged from 6 909 to 16 565 CNY, and the indirect burden ranged from 284 to 1 276 CNY. The direct economic burden was primarily driven by direct medical burden (83.67% to 95.01% of direct economic burden). Out-of-pocket expenses for outpatient medical burden ranged from 50% to 100%, while those for inpatient ranged from 36.30% to 61.29%. GLMM analysis revealed no statistically significant difference in the overall economic burden between urban and rural areas across diseases. However, the burden of inpatient medical burden for arthritis or rheumatism was higher in urban areas than in rural areas (5 338 vs. 3 898 CNY; LR=6.04, P=0.014). Similarly, the burden of self-treatment for hypertension was also higher in urban areas than in rural areas (324 vs. 238 CNY; LR=8.30, P=0.004). The outpatient non-medical burden for diabetes or elevated blood glucose (59 vs. 149 CNY; LR=5.99, P=0.014), stroke (0 vs. 307 CNY; LR=4.55, P=0.033), and digestive system diseases (45 vs. 107 CNY; LR=9.58, P=0.002) was lower in urban areas than rural. Conclusions:Chronic diseases cause heavy economic burden on middle-aged and elderly people in both urban and rural areas of China, with direct economic burden accounting for the majority of expenditure. The outpatient medical burden accounts for a higher proportion of out-of-pocket expenses than the inpatient.