ObjectiveTo explore the relationship between triglyceride high-density cholesterol-glucose body index （TyHGB） and gestational diabetes mellitus （GDM）. MethodsThis single-center retrospective cohort study was conducted. A total of 723 singleton pregnant women who received prenatal care and delivered at Lingnan Hospital， the Third Affiliated Hospital of Sun Yat-sen University， from May 2024 to July 2024 were enrolled. Clinical baseline data and laboratory test results in the first trimester （before 13⁺⁶ weeks of gestation） were collected. Based on the tertiles of the TyHGB index were equally divided into 3 groups. Clinical baseline data， and GDM risk were compared among the three groups. ResultsCompared with the control group， the GDM group had older maternal age， higher Pre-pregnancy BMI， FPG， TG， and higher values of 75 g OGTT fasting plasma glucose， 1 h plasma glucose， and 2 h plasma glucose. The early-pregnancy TyHGB index， andincidence of macrosomiawere all higher in the GDM group than in the control group （ all P<0.05）， whereas gestational weight gain （GWG） was lower than that of the control group （P<0.05）. The individuals were divided into three groups according to the tertiles of the TyHGB index. Significantly differences were identified among TyHGB index tertiles in maternal age， parity， Pre-BMI， FPG， TC， TG， HDL-C， LDLL-C， Ur， 75 g OGTT fasting plasma glucose， 1 h plasma glucose， 2 h plasma glucose， GWG， neonatal birth weight， GDM， GH， macrosomia incidence， and cesarean section rate（all P<0.05）. Further trend test analysis found that matenal age， parity， Pre-BMI， FPG， TC， TG， LDL-C， 75 g OGTT_FPG， 75 g OGTT_1 h PG and 75 g OGTT_2 h PG level， neonatal birth weight， GDM， GH， incidence of macrosomia and cesarean section rate all showed an upward trend. The multivariate Logistic regression models revealed that there was an independent positive correlation between TyHGB index and the risk of GDM. Curve fitting by restricted cubic splines （RCS） were used to assess linearity between TyHGB and GDM， and there was a linear dose-response relationship between TyHGB and GDM （P _{nonlinear test} = 0.597）. The threshold value for early pregnancy TyHGB index to predict GDM was 6.449 ， with an area under the curve （AUC） of 0.644 （95% CI： 0.597-0.691）， sensitivity of 0.480 ， and specificity of 0.779. After adjusting for maternal age， Pre-BMI， family history of diabetes， and history of GDM， the AUC for the early pregnancy TyHGB index to predict GDM was 0.672 （95% CI： 0.626-0.718）. ConclusionThe early-pregnancy TyHGB index is independently associated with GDM risk， and exhibits a linear dose-response relationship with GDM. It may serve as an early screening and monitoring tool for pregnant women at high risk of GDM. However， its predictive value for GDM requires further validation.

Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.

Objective To gain an in-depth understanding of influencing factors on the preventive behaviors of operating room nurses regarding hypothermia during cesarean sections,and to provide references for promoting the prevention of hypothermia during cesarean sections.Methods A descriptive qualitative research approach was adopted,based on the theoretical framework of the Precede-Proceed Model to develop an interview outline.Semi-structured interviews were conducted with 12 operating room nurses,and the interview data were analyzed using directed content analysis.Results The influencing factors were categorized into 3 main themes and 8 sub-themes.①Predisposing factors:insufficient theoretical knowledge,low risk awareness among healthcare providers.②Enabling factors:rational allocation of equipment/resources,proficient operational skills,targeted and effective training programs,and standardized preventive procedures.③Reinforcing factors:the need to enhance team cooperation,the need to improve the regulatory mechanism.Conclusion Nursing managers should strengthen education and training to enhance nurses'awareness and skill levels in preventing hypothermia,improve equipment resources and build an information-based assessment and decision support system to promote the implementation of hypothermia prevention behaviors.Additionally,facilitating team collaboration and utilizing information construction to collect and analyze quality indicators can strengthen quality management and promote continuous improvement in the quality of hypothermia prevention during cesarean sections.

Given the increasing concern regarding antibacterial resistance, the antimicrobial properties of naphthoquinones have recently attracted significant attention. While 1,4-naphthoquinone and its derivatives have been extensively studied, the antibacterial properties of 5,8-dihydroxy-1,4-naphthoquinone derivatives remain relatively unexplored. This study presents a comprehensive in vitro and in vivo analysis of the antibacterial activity of 35 naturally sourced and chemically synthesized derivatives of 5,8-dihydroxy-1,4-naphthoquinone. Kirby-Bauer antibiotic testing identified three compounds with activity against methicillin-resistant Staphylococcus aureus (MRSA), with one compound (PNP-02) demonstrating activity comparable to vancomycin in minimum inhibitory concentration, minimum bactericidal concentration (MBC), and time-kill assays. Microscopic and biochemical analyses revealed that PNP-02 adversely affects the cell wall and cell membrane of MRSA. Mechanistic investigations, including proteomic sequencing analyses, Western blotting, and RT-qPCR assays, indicated that PNP-02 compromises cell membrane integrity by inhibiting arginine biosynthesis and pyrimidine metabolism pathways, thereby increasing membrane permeability and inducing bacterial death. In an in vivo mouse model of skin wound healing, PNP-02 exhibited antibacterial efficacy similar to vancomycin. The compound demonstrated low toxicity to cultured human cells and in hemolysis assays and remained stable during serum incubation. These findings suggest that PNP-02 possesses promising bioactivity against MRSA and represents a potential novel antibacterial agent.
Methicillin-Resistant Staphylococcus aureus/genetics* ; Anti-Bacterial Agents/chemistry* ; Naphthoquinones/administration & dosage* ; Animals ; Microbial Sensitivity Tests ; Mice ; Humans ; Staphylococcal Infections/microbiology* ; Molecular Structure

Astragali Radix (AR), a traditional Chinese medicine (TCM), has demonstrated therapeutic efficacy against various diseases, including cardiovascular conditions, over centuries of use. While doxorubicin serves as an effective chemotherapeutic agent against multiple cancers, its clinical application remains constrained by significant cardiotoxicity. Research has indicated that AR exhibits protective properties against doxorubicin-induced cardiomyopathy (DIC); however, the specific bioactive components and underlying mechanisms responsible for this therapeutic effect remain incompletely understood. This investigation seeks to identify the protective bioactive components in AR against DIC and elucidate their mechanisms of action. Through network medicine analysis, astragaloside IV (AsIV) and formononetin (FMT) were identified as potential cardioprotective agents from 129 AR components. In vitro experiments using H9c2 rat cardiomyocytes revealed that the AsIV-FMT combination (AFC) effectively reduced doxorubicin-induced cell death in a dose-dependent manner, with optimal efficacy at a 1∶2 ratio. In vivo, AFC enhanced survival rates and improved cardiac function in both acute and chronic DIC mouse models. Additionally, AFC demonstrated cardiac protection while maintaining doxorubicin's anti-cancer efficacy in a breast cancer mouse model. Lipidomic and metabolomics analyses revealed that AFC normalized doxorubicin-induced lipid profile alterations, particularly by reducing fatty acid accumulation. Gene knockdown studies and inhibitor experiments in H9c2 cells demonstrated that AsIV and FMT upregulated peroxisome proliferator activated receptor γ coactivator 1α (PGC-1α) and PPARα, respectively, two key proteins involved in fatty acid metabolism. This research establishes AFC as a promising therapeutic approach for DIC, highlighting the significance of multi-target therapies derived from natural herbals in contemporary medicine.
Animals ; Doxorubicin/adverse effects* ; Saponins/administration & dosage* ; Isoflavones/pharmacology* ; Rats ; Cardiomyopathies/prevention & control* ; Mice ; Fatty Acids/metabolism* ; Myocytes, Cardiac/metabolism* ; Triterpenes/administration & dosage* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Cardiotonic Agents/administration & dosage* ; Mice, Inbred C57BL ; Cell Line ; Astragalus Plant/chemistry* ; Astragalus propinquus

Exerkines play important roles in the regulation of metabolic diseases, cardiovascular diseases, and neurological disorders, including obesity, diabetes, sarcopenia, osteoporosis, myocardial infarction, and Alzheimer′s disease. This review summarizes recent research on several key exerkines and their physiological effects.

Objective To explore the materials and embolization technique employed in precision superselective transarterial embolization for the treatment of acute renal hemorrhage.Methods The data of 50 patients with acute renal hemorrhage who underwent precision superselective transarterial embolization were retrospectively analyzed.The angiographic findings,embolic materials and embolization methods were collected.The main outcome measures were technical success rate,clinical efficacy and renal function.Results In this study,44 patients had positive angiographic findings.The clinical success rate was 90.9%(40/44)after first precision superselective transarterial embolization.In patients of failure of first embolization,3 patients underwent successful repeated embolization and 1 patient refused repeat embolization.Empirical embolization was carried out among the 6 patients with negative angiographic findings.In 32 patients with complete data for estimated glomerular filtration rate(eGFR),there was no statistical difference before and those measured 7 d after precision superselective transarterial embolization.Conclusion Precision superselective transarterial embolization technique is an effective method for the treatment of acute renal hemorrhage,preserving renal function.

Objective:To investigate the predictive role of intrapartum ultrasound indicators on the difficulty of vacuum-assisted delivery.Methods:A prospective cohort study was conducted. The study subjects were singleton pregnant women hospitalized for delivery at the Third Affiliated Hospital of Sun Yat-sen University from February 2021 to December 2022, who had indications for vacuum-assisted delivery, and completed intrapartum ultrasound examination within 10 minutes before the procedure. Intrapartum ultrasound indicators included fetal position, angle of progression (AOP), and head-perineum distance (HPD). Based on the difficulty of vacuum-assisted delivery, the subjects were divided into easy and difficult groups. The fetal position, AOP, and HPD before vacuum-assisted delivery and delivery outcomes were compared between the two groups to explore the correlation and predictive value of intrapartum ultrasound indicators on the difficulty of vacuum-assisted delivery. Statistical and predictive value analyses were performed using independent-sample t-test, U-test, Chi-square (or Fisher's exact) test, logistic regression analysis, and receiver operating characteristic (ROC) curve. Results:A total of 162 cases were included in the study, with 120 in the easy and 42 in the difficult groups. The age of the 162 pregnant women ranged from 20 to 44 years, with an average of (30.6±3.9) years; 107 cases (66.0%) were first pregnancies, and 139 cases (85.8%) were primipara. (1) The fetal head stations in the difficult and easy groups were 2.3 (2.0-2.5) cm and 2.0 (2.0-2.5) cm, respectively, with no statistically significant difference ( P>0.05). The AOP during the interval and contraction periods and the ΔAOP in the difficult group were smaller than those in the easy group [ (138.1±8.8) vs. (143.8±7.9), t=3.89; (148.7±9.3) vs. (157.9±8.9), t=5.67; and (10.6±6.4) vs. (14.1±6.3), t=3.08; all P<0.01], while the HPD during the interval and contraction periods and ΔHPD in the difficult group were greater than those in the easy group [(3.4±0.5) cm vs. (3.2±0.4) cm, t=－2.69; (2.8±0.5) cm vs. (2.4±0.5) cm, t=－4.70; (－0.5±0.4) cm vs. (－0.8±0.5) cm, t=－2.83; all P<0.01]. (2) In the difficult group, seven cases required forceps delivery after 2-3 vacuum cup detachments; in the easy group, all cases were successfully delivered after 1-2 vacuum tractions. The duration of vacuum extraction was longer in the difficult group [7.0 (6.0-10.0) min vs. 3.0 (2.0-3.0) min, Z=9.65] (all P<0.001). (3) In the difficult group, four cases had severe maternal and neonatal delivery complications, including two cases of shoulder dystocia, one case of vesicovaginal fistula after failed vacuum extraction converted to forceps delivery, and one case of third-degree perineal tear after failed vacuum extraction converted to forceps delivery. In the easy group, one case had shoulder dystocia with mild neonatal asphyxia. The rate of vaginal tears in the difficult group was higher than in the easy group [47.6% (20/42) vs. 29.2% (35/120)] ( χ2=4.72, P=0.030). The incidence of postpartum hemorrhage in the difficult and easy groups was 11.9% (5/42) and 8.3% (10/120), respectively, with no statistically significant difference (Fisher's exact test, P=0.539). No cases required cesarean section after failed vacuum extraction. The incidence of scalp hematoma was higher in the difficult group than in the easy group [28.6% (12/42) vs. 11.7% (14/120), χ2=6.60, P=0.010]. The two groups had no statistically significant differences in the incidence of other neonatal complications. (4) Multivariate logistic regression analysis identified three independent variables associated with difficult vacuum extraction: maternal age, AOP and HPD during contraction. The ROC curve was used to test the predictive value of the multivariate model for difficult vacuum extraction, with an area under the curve of 0.808 (95% CI: 0.734-0.882) ( P<0.001). When the maximum Youden index (0.487) was taken, the sensitivity and specificity of the model in predicting difficult vacuum extraction were 0.762 (95% CI: 0.696-0.828) and 0.725 (95% CI: 0.656-0.794), respectively. Conclusions:AOP and HPD are related to the difficulty of vacuum extraction. The risk of difficult vacuum extraction increases with advanced maternal age, smaller AOP and larger HPD during the contraction phase.

[Objective]To investigate the relationship between the non-fasting triglyceride and glucose(TyG)index and hyperglycemia in pregnancy during the third trimester in high altitudes.[Methods]This study selected clinical and laboratory data of 774 Tibetan singleton pregnant women who delivered at Chaya People's Hospital of Qamdo city in Xizang autonomous region,from January 2023 to April 2025.The non-fasting TyG index was calculated from non-fasting triglyceride(TG)and random plasma glucose(PG).Based on the tertiles of the non-fasting TyG index values,the individuals were split into three groups(corresponding to non-fasting TyG index of 8.89 and 9.21,respectively).The baseline clinical characteristics,lipid levels and the occurrence of developing hyperglycemia in pregnancy were compared among the three groups.Statistical analyses were performed using ANOVA,Kruskal-Wallis H test,Chi-square test,or Fisher exact test and the relationship between the non-fasting TyG index and hyperglycemia in pregnancy were examined using multivariate logistic regression models and curve fitting.[Results]A total of 774 Tibetan singleton pregnant women were included,with a average age of 27.3±6.1 years,a pre-delivery body mass index(Pre-BMI)of(25.2±2.3)kg/m2,a proportion of 26.7%(207/774)primigravid women,the mean non-fasting TyG index was 9.1±0.4.Thirty pregnant women were diagnosed with hyperglycemia in pregnancy,with a detection rate of 3.9%(30/774).Statistically significant differences in serum total cholesterol(TC),TG,low-density lipoprotein cholesterol(LDL-C)and high-density lipoprotein cholesterol(HDL-C)levels were identified when comparing different non-fasting TyG groups(all P values<0.05).Subsequent trend test analysis indicated that the levels of TC,TG,LDL-C,and PG gradually increased with elevated the non-fasting TyG index(Ftrend TC=95.61,P<0.001;Ftrend TG=1 051.91,P<0.001;Ftrend LDL-C=97.20,P<0.001;Ftrend TG=195.20;P<0.001).After adjustment for maternal age,pre-delivery BMI,altitude,TC,LDL-C,and HDL-C,multivariate Logistic regression models revealed independent positive associations between non-fasting TyG index and hyperglycemia in pregnancy(Model 1:OR=2.72,95%CI:1.13-6.53,P=0.026;Model 2:OR=2.56,95%CI:1.01-6.50,P=0.048;Model 3:OR=2.72,95%CI:1.06-6.97,P=0.037;Model 4:OR=4.02,95%CI:1.42-11.40,P=0.009)and the incident of hyperglycemia in pregnancy showed an increasing tendency as increasing with the non-fasting TyG index,however,this association did not statistical significance(P trend>0.05).Curve fitting by restricted cubic splines(RCS)were used to assess linearity between non-fasting TyG and hyperglycemia in pregnancy,and there was a linear dose-response relationship between non-fasting TyG and hyperglycemia in pregnancy(P for non-linear=0.515).[Conclusion]Non-fasting TyG index in the third trimester is a risk factor for hyperglycemia in pregnancy among the Tibetan singleton pregnant women at high altitudes and there was a possible linear dose-response relationship between the non-fasting TyG index and hyperglycemia in pregnancy.

Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.