ObjectiveTo establish a regional risk assessment system for hospital-acquired infections in neurosurgery department of general hospital, and to evaluate its prevention and control effectiveness. MethodsFailure mode and effect analysis (FMEA) was used to identify the core risk factors for infections in neurosurgery department. The risk priority number (RPN) of each risk factor was calculated to determine the priority intervention targets. Targeted interventions were developed and continuously refined through the plan-do-check-act (PDCA) cycles. Data from January to June 2023 (control group) and July to December 2023 (intervention group) were collected to compare the differences in environmental hygiene monitoring qualification rate, incidence rate of hospital-acquired infections among inpatients, and detection rate of bacterial antimicrobial resistance. ResultsHigh-risk factors for hospital-acquired infections in neurosurgery department included patient-related risk factors, inadequate implementation of isolation measures for special infections, and poor compliance with surgical site infection (SSI) prevention protocols. After intervention, the environmental hygiene qualification rate significantly increased from 81.55% to 100.00% (χ²=120.49, P<0.001). The overall hospital-acquired infection rate among inpatients decreased from 2.62% to 2.45%, the infection rate of per case declined from 3.12% to 2.84%, and the detection rate of multidrug-resistant organism infections reduced from 43.72% to 36.79%. Additionally, antimicrobial utilization rate decreased from 48.75% to 42.53% (χ²=34.09, P<0.001). ConclusionThe FMEA-based risk assessment system can effectively identify critical infection risks in neurosurgery department, and targeted interventions can significantly improve infection prevention and control performance.

Bronchial asthma （BA） is a common chronic inflammatory airway disease characterized by airway hyperresponsiveness and reversible airflow limitation. Lung macrophages （LMs）， as important effector cells of the innate immune system， play an important role in recognizing and engulfing pathogens， clearing harmful particles， and regulating immune responses. LMs can be polarized to M1 （pro-inflammatory） or M2 （anti-inflammatory） in different immune environments and participate in promoting or inhibiting inflammatory response， as well as lung parenchyma injury and repair （airway remodeling）， playing a key role in the BA occurrence and development. Regulating the polarization balance of macrophages can not only inhibit the inflammatory response in the airway and reduce airway hyperresponsiveness， but also improve airway remodeling and immune regulation， reduce airway mucus secretion， and alleviate the clinical BA symptoms. Traditional Chinese medicine and its active ingredients， especially polysaccharides and saponins， can regulate the polarization balance of M1/M2 macrophages. Traditional Chinese medicine compounds can balance the secretion of anti-inflammatory and pro-inflammatory factors by staging treatment and targeting the polarization state of M1/M2 macrophages， inhibit inflammatory response in the airway， reduce airway remodeling， and improve the BA symptoms. This paper summarized the research progress on the regulation of M1/M2 macrophage polarization by traditional Chinese medicine and its active ingredients， aiming to provide scientific evidence for the precise targeted therapy of BA.

Bronchial asthma （BA） is a common chronic inflammatory airway disease characterized by airway hyperresponsiveness and reversible airflow limitation. Lung macrophages （LMs）， as important effector cells of the innate immune system， play an important role in recognizing and engulfing pathogens， clearing harmful particles， and regulating immune responses. LMs can be polarized to M1 （pro-inflammatory） or M2 （anti-inflammatory） in different immune environments and participate in promoting or inhibiting inflammatory response， as well as lung parenchyma injury and repair （airway remodeling）， playing a key role in the BA occurrence and development. Regulating the polarization balance of macrophages can not only inhibit the inflammatory response in the airway and reduce airway hyperresponsiveness， but also improve airway remodeling and immune regulation， reduce airway mucus secretion， and alleviate the clinical BA symptoms. Traditional Chinese medicine and its active ingredients， especially polysaccharides and saponins， can regulate the polarization balance of M1/M2 macrophages. Traditional Chinese medicine compounds can balance the secretion of anti-inflammatory and pro-inflammatory factors by staging treatment and targeting the polarization state of M1/M2 macrophages， inhibit inflammatory response in the airway， reduce airway remodeling， and improve the BA symptoms. This paper summarized the research progress on the regulation of M1/M2 macrophage polarization by traditional Chinese medicine and its active ingredients， aiming to provide scientific evidence for the precise targeted therapy of BA.

OBJECTIVE To explore an intelligent shelf management scheme aimed at enhancing the effective utilization rate of shelves and reducing the risk of dispensing errors for easily confused medicine， thereby facilitating the upgrade of intelligent shelf management in inpatient pharmacies. METHODS An intelligent positioning software based on the “five-level positioning” concept was designed using informational technology. Human-machine collaboration mode was adopted to optimize the shelf management process by integrating priority information， including pharmacological action， drug dosage， packaging color， injection drug type， and label style. Then， the effectiveness of the intelligent positioning software was evaluated comprehensively from multiple aspects such as shelf location arrangement effect， internal dispensing error rate and work experience. RESULTS Compared with the application of intelligent shelf management scheme （April-May， 2025）， the proportion of injectable drugs on the middle layer increased from 59.9% to 78.2% after the application of scheme （June-July， 2025）； the average internal dispensing error rate dropped from 0.098% to 0.049%. Intelligent positioning software ensured precise warehousing positioning， simplified management， reduced dispensing errors and achieved a good experience for pharmacists. In addition， the “intelligent positioning software for pharmaceutical shelf management”， developed based on the “five-level positioning” concept， had been granted one national computer software copyright. CONCLUSIONS In summary， the intelligent positioning software fully considers the actual work needs such as shelf capacity， drug dosage and distance between similar drugs. It can provide accurate prediction of pharmaceutical shelf and optimization scheme， basically achieving dual optimization of low error rate and high dispensing efficiency.

ObjectiveTo investigate the effects of Trpc6 knockout on chronic lipopolysaccharide （LPS）-induced myocardial inflammation and fibrosis in mice and its potential mechanisms. MethodsMale C57BL/6 wild-type （WT） mice and Trpc6 knockout （Trpc6^-/-） mice of the same background were randomly divided into four groups： WT control， WT+LPS （200 μg/kg）， Trpc6^-/- control， and Trpc6^-/-+LPS （200 μg/kg）. Group with LPS received intraperitoneal LPS injections for 21 consecutive days to induce chronic myocardial inflammatory injury. Cardiac ultrasound assessed changes in left ventricular ejection fraction （EF）， left ventricular shortening fraction （FS）， and cardiac output （CO）. Hematoxylin and eosin （HE） staining and periodic acid-Schiff （PAS） staining were used to examine morphological alterations in myocardial tissue. Masson’s trichrome staining was used to assess myocardial fiber alterations； Western blot analysis was used to measure myocardial tissue expression of transient receptor potential calcium channel 6 （TRPC6）， NOD-like receptor family pyrin domain-containing 3 inflammasome （NLRP3），absent in melanoma 2 inflammasome （AIM2）， Caspase-1， interleukin （IL）-6， and IL-1β in mouse myocardial tissue. ResultsCompared with the WT control group， the WT+LPS group exhibited decreased cardiac EF （P<0.01）， FS （P<0.01）， and CO （P<0.05）， along with significantly increased myocardial tissue damage， glycoprotein deposition， and fibrosis （P<0.01）. Further analysis revealed that compared with the WT control group， the WT+LPS group exhibited markedly increased myocardial tissue expression of TRPC6， NLRP3， AIM2， Caspase-1， IL-6， and IL-1β （P<0.01）. Compared with the WT+LPS group， mice in the Trpc6^-/- +LPS group exhibited elevated EF （P<0.01） and FS （P<0.05）， along with reduced myocardial tissue injury， glycoprotein deposition， and fibrosis （P<0.05）. ConclusionChronic LPS treatment can activate NLRP3/AIM2 inflammasomes through the up-regulation of TRPC6 expression， and then lead to chronic myocardial inflammatory injury and fibrosis， while Trpc6 knockdown can reduce myocardial inflammatory injury and fibrosis， and the mechanism is related to inhibiting the activation of NLRP3/AIM2 inflammasomes.

Dry eye disease is a multifactorial chronic ocular surface disorder that is challenging to manage because its pathogenesis is not well understood. The gut-eye axis theory provides insights into its pathogenesis to guide prevention and treatment. Intestinal flora dysbiosis induces dry eye disease through complex mechanisms involving inflammation, ocular surface microbiota, nerve damage, and microbial metabolites. This article reviews the immunometabolic regulation of the gut-eye axis and summarizes gut flora-targeted interventions(fecal microbiota transplantation, probiotic supplementation, and dietary modification)to provide a theoretical basis for dry eye disease prevention and treatment.

Objective: To understand current state of physical health levels of first year students in different body mass index (BMI) categories in Ningxia universities, and to explore the correlation between BMI and physical fitness index (PFI), so as to provide a reference for enhancing physical health levels of university students. Methods: In November 2024, physical fitness test data from 16 631 first year students across four universities in Yinchuan City, Ningxia from 2019 to 2023 were collected by adopting convenience and stratified cluster random sampling methods. The PFI was calculated using the Z score of the physical fitness test results, and a nonlinear quadratic model was established via least squares regression to examine the relationship between BMI and PFI among university students. Results: The BMI for males was (21.69±3.53)kg/m 2, while for females was (20.78±2.94)kg/m 2. The composite score for males physical fitness (69.86±9.25) was lower than that for females (72.24± 8.15 ), with a statistically significant difference ( t =-17.54, P <0.01). Moreover, the failure rates of various physical fitness indicators (vital capacity, sit and reach, standing long jump, pull ups/1 minute sit ups, 1 000 m/800 m run) were higher among males than females ( χ 2=103.48, 72.45, 14.38, 5 134.85, 188.89, all P <0.01). Comparisons across BMI categories revealed that among males, the normal weight group outperformed other groups in the 50 m sprint, standing long jump, 1 000 m sprint, composite score, and PFI ( F =89.17, 113.90, 179.02, 573.35, 593.08); among female students, the normal weight group outperformed other groups in the 50 m sprint, sit and reach, 800 m run, composite score, and PFI ( F =10.67, 19.58 , 96.45, 294.05, 183.45) (all P <0.01). The relationship between BMI and PFI among first year students exhibited a parabolic change trend, students with a moderate BMI demonstrated higher PFI, and as BMI increased, PFI decreased (all P <0.01). Conclusions The physical health level of male students in Ningxia universities is lower than that of female students. There is a correlation between BMI classification and PFI. Tailored intervention measures should be implemented according to the physical characteristics of students across different genders and BMI classifications to enhance university students physical health.

OBJECTIVE: To analyze the disease patterns and acupoint selection characteristics of acupuncture for epilepsy in ancient acupuncture texts, providing references and ideas for clinical acupuncture treatment of epilepsy. METHODS: Texts from the Chinese Medical Classics (5th edition) regarding acupuncture for epilepsy are reviewed. The frequency of acupoints, meridian association, distribution, specific points, corresponding epilepsy subtypes, and needling techniques are statistically analyzed. The Apriori algorithm is used for association rule analysis, and a complex network analysis is conducted for high-frequency acupoints and their corresponding subtypes and treatments. RESULTS: A total of 205 acupuncture prescriptions are identified. Ancient texts favored differentiation-based treatments for epilepsy, primarily classified into epilepsy, wind epilepsy, and five epilepsy. Commonly used acupoints include Baihui (GV20), Jiuwei (CV15), Shenmen (HT7), Shenting (GV24), and Xinshu (BL15), with a focus on the acupoints of the governor vessel, the bladder meridian, and the conception vessel. The acupoints on the head, face are combined with the acupoints on the limbs, with skillful use of the five-shu points and intersection acupoints. The most frequent combinations are Shenmen (HT7)-Baihui (GV20), Shenting (GV24)-Baihui (GV20), and Xinshu (BL15)-Shenmen (HT7). Visual network analysis revealed that Baihui (GV20)-Shenting (GV24), Baihui (GV20)-Shenmen (HT7), and Baihui (GV20)-Zhaohai (KI6) are core acupoint combinations. Treatment mainly involved moxibustion or combined acupuncture and moxibustion. CONCLUSION The acupoint selection for epilepsy treatment in ancient texts is precise, frequently using Baihui (GV20), Jiuwei (CV15), Shenmen (HT7), Shenting (GV24), and Xinshu (BL15), etc., with emphasis on calming epilepsy, awakening the spirit, relaxing tendons, and nourishing the heart.
Acupuncture Points ; Humans ; Epilepsy/history* ; History, Ancient ; Acupuncture Therapy/history* ; Medicine in Literature/history* ; Meridians ; China

BACKGROUND: Studies on the impact of blood glucose indicators on metabolism remain relatively scarce. The aim of this study was to investigate the associations between blood glucose indicators and metabolic disorders in China. METHODS: Data were from the Thyroid disorders, Iodine status and Diabetes Epidemiological survey (TIDE survey), which randomly selected 31 cities from 31 provinces in the Chinese mainland. A total of 68,383 participants without preexisting diabetes and have complete data on blood glucose, lipids, and blood pressure were included in the analysis. The diabetic population was divided into seven groups based on different types of elevated blood glucose levels, including fasting plasma glucose (FPG), postprandial glucose (PPG), and hemoglobin A1c (HbA1c): FPG ≥7 mmol/L; PPG ≥11.1 mmol/L; HbA1c ≥6.5%; FPG ≥7 mmol/L and PPG ≥11.1 mmol/L; FPG ≥7 mmol/L and HbA1c ≥6.5%; PPG ≥11.1 mmol/L and HbA1c ≥6.5%; FPG ≥7 mmol/L, PPG ≥11.1 mmol/L, and HbA1c ≥6.5%. The effects of each blood glucose indicator on metabolism were investigated separately. Weighted calculation was applied during the analysis, with the weighting coefficient based on the number of people corresponding to the population characteristics of each sample in the 2010 Chinese Census. A logistic regression model with restricted cubic splines (RCS) was employed to characterize the nonlinear associations of age and body mass index (BMI) with the risk of diabetes subtypes defined by distinct blood glucose indicators elevations, as well as the relationships between different blood glucose indicators (FPG, PPG, HbA1c) and the risk of metabolic disorders such as hypertension, hypertriglyceridemia, hypercholesterolemia, high low-density lipoprotein cholesterol (high LDL-C) and low high-density lipoprotein cholesterol (low HDL-C). RESULTS: Among individuals with diabetes, elevated PPG alone was the most common abnormality, affecting 26.96% (1382/5127) of the population. Among the seven groups with only one elevated blood glucose indicator, individuals with elevated PPG alone exhibited the highest mean levels of triglycerides (TG) at 2.11 mmol/L (95% confidence interval [CI]: 1.97-2.25 mmol/L, P = 0.004), total cholesterol (TC) at 5.26 mmol/L (95% CI: 5.18-5.33 mmol/L, P <0.001), and low-density lipoprotein cholesterol (LDL-C) at 3.12 mmol/L, (95% CI: 3.06-3.19 mmol/L, P = 0.001). Individuals with elevated PPG alone showed a high prevalence of hypertension (806/1382, 58.32%), hypertriglyceridemia (676/1382, 48.91%), hypercholesterolemia (694/1382, 50.22%), High LDL-C (525/1382, 37.94%), and Low HDL-C (364/1382, 26.34%). The association of age and BMI with the risk of diabetes revealed that the older the patient, the steeper the RCS curve for the odds ratio (OR) of diabetes with elevated PPG alone (age = 60, OR = 2.79, 95% CI [2.49-3.12], P <0.01). Similarly, as BMI increased, the RCS curve for the OR of diabetes with elevated HbA1c alone also steepened (BMI = 35, OR = 3.75, 95% CI [3.23-4.35], P <0.001). Additionally, the RCS yielded a positive association between blood glucose indicators and metabolic diseases risk. In individuals with diabetes, RCS for both the ORs of metabolic diseases (hypertension, hypertriglyceridemia, hypercholesterolemia, high LDL-C, low HDL-C) and the levels of metabolic indicators (TG, TC, LDL-C, HDL-C) revealed some inflection points within the ranges of FPG 5-6 mmol/L, PPG 6-8 mmol/L, and HbA1c 5.5-6.0%. CONCLUSIONS PPG is more closely related to metabolic disorders than FPG and HbA1c in people with diabetes. For patients with diabetes and metabolic disorders, it may be necessary to monitor blood glucose fluctuations within specific ranges (FPG 5-6 mmol/L, PPG 6-8 mmol/L, and HbA1c 5.5-6.0%).
Humans ; Female ; Cross-Sectional Studies ; Male ; Blood Glucose/metabolism* ; Middle Aged ; Glycated Hemoglobin/metabolism* ; Adult ; Metabolic Diseases/epidemiology* ; Aged ; China ; Diabetes Mellitus/blood* ; East Asian People