ObjectiveTo investigate whether visceral fat area （VFA） is an independent risk factor for significant liver fibrosis in patients with nonalcoholic fatty liver disease （NAFLD） based on clinical data， and to establish an effective diagnostic model. MethodsA total of 222 NAFLD patients who attended Department of Hepatology， Guangdong Provincial Hospital of Traditional Chinese Medicine， from January 2021 to April 2025 were enrolled， and according to liver stiffness measurement （≥8 kPa or not）， they were divided into significant fibrosis group and non-significant fibrosis group. Propensity score matching （PSM） was performed at a ratio of 1∶1 to balance the baseline data between the two groups. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups； the chi-square test was used for comparison of categorical data between groups. A Spearman correlation analysis was used to determine the correlation of VFA and other indicators with significant liver fibrosis； univariate and multivariate logistic regression analyses were used to identify whether VFA was an independent risk factor for significant liver fibrosis in NAFLD patients， and the receiver operating characteristic （ROC） curve was plotted to assess the predictive performance of related indicators. ResultsA total of 45 patients with significant liver fibrosis and 177 patients without significant liver fibrosis were enrolled， and after PSM， 90 patients （45 pairs） were finally included in analysis. Compared with the non-significant fibrosis group， the significant fibrosis group had significantly higher levels of body mass index （BMI）， fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， uric acid （UA）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， gamma-glutamyl transpeptidase （GGT）， controlled attenuation parameter （CAP）， and VFA， as well as a significantly higher proportion of patients with visceral fat obesity or three or more metabolic risk factors （all P<0.05）. VFA， BMI， AST， and HbA1c were strongly correlated with significant liver fibrosis （all r>0.5， all P <0.05）， and ALT， GGT， UA， FBG， and CAP were significantly positively correlated with significant liver fibrosis （r=0.3　—　0.5， all P<0.05）. VFA （odds ratio ［OR］=1.040， 95% confidence interval ［CI］： 1.018　—　1.062， P<0.05）， FBG （OR=2.372， 95%CI： 1.199　—　4.691， P<0.05）， and AST （OR=1.032， 95%CI： 1.003　—　1.058， P<0.05） were independent risk factors for significant liver fibrosis in NAFLD patients. The new diagnostic model based on VFA， FBG， and AST （with an area under the ROC curve ［AUC］ of 0.907） had a significantly better performance than aspartate aminotransferase-to-platelet ratio index （AUC=0.834）， fibrosis-4 （AUC=0.660）， triglyceride-glucose index （AUC=0.656）， and NAFLD fibrosis score （AUC=0.768） in predicting significant liver fibrosis in NAFLD patients （all P<0.05）. ConclusionVFA is an independent risk factor for significant liver fibrosis in NAFLD patients， and the noninvasive diagnostic model based on VFA， FBG， and AST can effectively predict the onset of significant liver fibrosis in NAFLD patients.

OBJECTIVE To establish a pharmaceutical management system for externally dispensed medicines in medical institutions， so as to improve medication safety and regulatory efficiency. METHODS Based on policy analysis and hospital practice， a pharmaceutical management system for externally dispensed medicines was constructed by integrating institutional frameworks， an information‑based platform and management procedures， and the management effectiveness was evaluated. RESULTS Our hospital formulated the Regulations on the Management of Externally Dispensed Medicines ， which standardized catalogue selection， prescription issuance， acceptance and use， supervision and evaluation. An information‑based management platform for externally dispensed medicines was built relying on the hospital information system， enabling electronic prescription circulation， intelligent prescription review and whole‑process traceability. Institutional requirements and platform functions were embedded into three core management procedures， namely catalogue selection， prescription issuance， and medicine acceptance and use， forming a closed‑loop working mechanism. After the implementation of the management system， compared with pre‑implementation， the qualified rate of externally dispensed prescriptions increased from 85.2% to 99.3% （ P ＜0.001）， the automatic prescription review pass rate exceeded 95%， the prescription review duration shortened from 7.2 min to 1.8 min （ P ＜0.001）. All dimensional satisfaction scores of patients and medical staff were significantly improved， the standardization awareness of medical staff reached 100%. CONCLUSIONS The construction of a pharmaceutical management system for externally dispensed medicines with standardized institutional frameworks， informatized platforms and standardized procedures effectively enhances the rationality and management efficiency of externally dispensed prescription medicines， and provides a replicable practical pathway for the management of externally dispensed medicines in medical institutions.

ObjectiveTo investigate the value of different noninvasive diagnostic models in the diagnosis of esophageal and gastric varices since there is a high risk of esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and to provide a basis for the early diagnosis of esophageal and gastric varices. MethodsA total of 108 patients with significant portal hypertension due to compensated hepatitis B cirrhosis who attended Guangdong Provincial Hospital of Traditional Chinese Medicine from November 2017 to November 2023 were enrolled， and according to the presence or absence of esophageal and gastric varices under gastroscopy， they were divided into esophageal and gastric varices group （GOV group） and non-esophageal and gastric varices group （NGOV group）. Related data were collected， including age， sex， imaging findings， and laboratory markers. The chi-square test was used for comparison of categorical data between groups； the least significant difference t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups. The receiver operating characteristic （ROC） curve was plotted to evaluate the diagnostic value of five scoring models， i.e.， fibrosis-4 （FIB-4）， LOK index， LPRI， aspartate aminotransferase-to-platelet ratio index （APRI）， and aspartate aminotransferase/alanine aminotransferase ratio （AAR）. The binary logistic regression method was used to establish a combined model， and the area under the ROC curve （AUC） was compared between the combined model and each scoring model used alone. The Delong test was used to compare the AUC value between any two noninvasive diagnostic models. ResultsThere were 55 patients in the GOV group and 53 patients in the NGOV group. Compared with the NGOV group， the GOV group had a significantly higher age （52.64±1.44 years vs 47.96±1.68 years， t=0.453， P<0.05） and significantly lower levels of alanine aminotransferase ［42.00 （24.00 — 17.00） U/L vs 82.00 （46.00 — 271.00） U/L， Z=-3.065， P<0.05］， aspartate aminotransferase ［44.00 （32.00 — 96.00） U/L vs 62.00 （42.50 — 154.50） U/L，Z=-2.351， P<0.05］， and platelet count ［100.00 （69.00 — 120.00）×10⁹/L vs 119.00 （108.50 — 140.50）×10⁹/L， Z=-3.667， P<0.05］. The ROC curve analysis showed that FIB-4， LOK index， LPRI， and AAR used alone had an accuracy of 0.667， 0.681， 0.730， and 0.639， respectively， in the diagnosis of esophageal and gastric varices （all P<0.05）， and the positive diagnostic rates of GOV were 69.97%， 65.28%， 67.33%， and 58.86%， respectively， with no significant differences in AUC values （all P>0.05）， while APRI used alone had no diagnostic value （P>0.05）. A combined model （LAF） was established based on the binary logistic regression analysis and had an AUC of 0.805 and a positive diagnostic rate of GOV of 75.80%， with a significantly higher AUC than FIB-4， LOK index， LPRI， and AAR used alone （Z=-2.773，-2.479，-2.206， and-2.672， all P<0.05）. ConclusionFIB-4， LOK index， LPRI， and AAR have a similar diagnostic value for esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and APRI alone has no diagnostic value. The combined model LAF had the best diagnostic efficacy， which provides a certain reference for clinical promotion and application.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective To investigate the expression profile of cell adhesion molecular 3(CADM3)on pulmonary endothelial cells,analyze its role in mediating specific adhesion to monocyte,and explore a new mechanism of hypoxia inducing peripheral monocyte infiltration in pulmonary vessels.Methods Human umbilical vein endothelial cells(HUVEC),rat pulmonary vascular endothelial cells(rPEC),and rat aortic endothelial cells(rAEC)were subjected,and divided into normoxic(21%O2)control group and hypoxic(1%O2 or 5%O2)treatment group.Analyzing the transcriptome data of HUVEC exposure to hypoxia for 8 h screened a differentially expressed molecule,CADM3.Cell adhesion experiments,siRNA interference,immunohistochemical assay,Western blotting,and flow cytometry were used to study the role of CADM3 in hypoxia specific high adhesion of HUVEC monocytes.Iron chelator deferoxamine(DFX)and shRNA interference were employed to enhance the expression of HIF-1α,and the effect of HIF-1 transcriptional activity on CADM3 expression was analyzed.Results Hypoxic treatment resulted in enhanced expression of CADM3 in HUVEC,and the expression level reached the peak at 6-8 h after hypoxia,and then decreased.Transfection with siRNA targeting CADM3 decreased the expression of CADM3,and significantly reduced the adhesion rate of hypoxic HUVEC-U937 cells when compared with the negative control group(P<0.05).Compared with the solvent control group,the protein levels of HIF-1α and its target protein STC2 in HUVEC treated with DFX(100 μmol/L)were increased.Transfection with shRNA targeting HIF-1α led the protein levels of HIF-1α and its target protein STC2 decreased,but had no effect on the protein expression of CADM3 in comparison to the negative control group.The protein level and distribution of CADM3 on the cell membrane were increased in hypoxic rPEC.No expression of CADM3 protein was found in the rAEC when compared with rPEC.After treatment with 5 μg/mL LPS,there were no significant changes in HIF-1α,STC2 and CADM3 in rPEC cultured under normoxia or hypoxia.The adhesion rate between hypoxia rPEC with CD11b+cells was the highest,with statistical significance(P<0.01).After incubation with anti-CADM3 antibody,the adhesion of hypoxic rPEC-U937 was significantly decreased compared with the solvent control group(P<0.05).Conclusion Hypoxia specifically induces the expression of CADM3 in pulmonary vascular endothelial cells in a HIF-1-independent manner,and promotes the specific adhesion of pulmonary vascular endothelial cells and monocytes induced by hypoxia.

Objective:To explore the correlation between serum ferritin (SF) and risk of lean non-alcoholic fatty liver disease (NAFLD), so as to provide the basis for the prevention and treatment of lean NAFLD.Methods:A total of 7 187 people without NAFLD at baseline who took at least 2 physical examinations in the Health Management Center of the Second Hospital of Dalian Medical University from January 2014 to December 2023 and met the selection criteria were selected as the research subjects, and all the subjects had no NAFLD at baseline. Subjects were divided into four groups according to baseline SF quartiles: 1 797 cases in the first quartile ( Q1) group, 1 797 cases in the second quartile ( Q2) group, 1 797 cases in the third quartile ( Q3) group, and 1 796 cases in the fourth quartile ( Q4) group. The incidence of lean NAFLD in each group were observed. Kaplan-Meier curve was plotted to calculate the cumulative incidence of lean NAFLD which compared by log-rank test. Cox proportional hazard regression model was used to analyze the correlation between SF and new-onset lean NAFLD, Q1, Q2, Q3 and Q4 of SF were taken as continuous variables into the model for trend test.The stability of the results was verified by two item sensitivity analyses. Time-dependent receiver operating characteristic curve (ROC) was plotted to evaluate the predictive value of SF for the onset of lean NAFLD. Results:The cumulative follow-up were 25 076 person-years. There were 230 new cases of lean NAFLD, and the incidence density was 9.172/1 000 person-years. The incidence densities of lean NAFLD in Q1, Q2, Q3 and Q4 groups were 6.915/1 000 person-years, 8.552/1 000 person-years, 9.641/1 000 person-years, 12.003/1 000 person-years, respectively. Kaplan-Meier curve indicated that the incidence of lean NAFLD was increased with the increment of SF, and the difference was statistically significant (log-rank test, χ2=9.92, P=0.019). Cox proportional hazard regression model results showed that the risk of developing lean NAFLD in Q4 group increased by 72.8% ( HR=1.728, 95% confidence interval (95% CI): 1.059 to 2.820) compared with Q1 group. Trend analysis revealed that the risk of lean NAFLD increased by 18.9% for each one-quartile increase of SF( HR=1.189, 95% CI: 1.012 to 1.396). Two sensitivity analyses indicated that the risk of NAFLD in Q4 group was 1.795 times ( HR=1.795, 95% CI: 1.083 to 2.975) or 1.654 times ( HR=1.654, 95% CI: 1.022 to 2.678) higher than that in Q1 group. The area under the curve (95% CI) of SF for predicting the incidence of lean NAFLD at 2-, 3-, 7- and 8-year follow-up based on time-dependent ROC were 0.645 (0.593 to 0.698), 0.652 (0.603 to 0.700), 0.605 (0.539 to 0.672) and 0.716 (0.597 to 0.836), respectively. Conclusion:SF is an independent risk factor for lean NAFLD and has predictive value for the new-onset of lean NAFLD.

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OBJECTIVE: To observe the characteristics of changes in non-invasive hemodynamic parameters in neonates with septic shock so as to provide clinical reference for diagnosis and treatment. METHODS: A observational study was conducted. The neonates with sepsis complicated with septic shock or not admitted to neonatal intensive care unit (NICU) of the First Affiliated Hospital of Shantou University Medical College were enrolled as the study subjects, who were divided into preterm infant (< 37 weeks) and full-term infant (≥ 37 weeks) according to the gestational age. Healthy full-term infants and hemodynamically stable preterm infants transferring to NICU after birth were enrolled as controls. Electronic cardiometry (EC) was used to measure hemodynamic parameters, including heart rate (HR), mean arterial pressure (MAP), stroke volume (SV), stroke volume index (SVI), cardiac output (CO), cardiac index (CI), systemic vascular resistance (SVR) and systemic vascular resistance index (SVRI), before treatment in the septic shock group, at the time of diagnosis of sepsis in the sepsis without shock group, and before the discharge from the obstetric department or on the day of transferring to NICU in the control group. RESULTS: Finally, 113 neonates with complete data and parental consent for non-invasive hemodynamic monitoring were enrolled, including 32 cases in the septic shock group, 25 cases in the sepsis without shock group and 56 cases in the control group. In the septic shock group, there were 17 cases at the compensated stage and 15 cases at the decompensated stage. There were 21 full-term infants (20 cured or improved and 1 died) and 11 premature infants (7 cured or improved and 4 died), with the mortality of 15.62% (5/32). There were 18 full-term infants and 7 premature infants in the sepsis without shock group and all cured or improved without death. The control group included 28 full-term infants and 28 premature infants transferring to NICU after birth. Non-invasive hemodynamic parameter analysis showed that SV, SVI, CO and CI of full-term infants in the septic shock group were significantly lower than those in the sepsis without shock group and control group [SV (mL): 3.52±0.99 vs. 5.79±1.32, 5.22±1.02, SVI (mL/m²): 16.80 (15.05, 19.65) vs. 27.00 (22.00, 32.00), 27.00 (23.00, 29.75), CO (L/min): 0.52±0.17 vs. 0.80±0.14, 0.72±0.12, CI (mL×s^-1×m^-2): 40.00 (36.67, 49.18) vs. 62.51 (56.34, 70.85), 60.01 (53.34, 69.68), all P < 0.05], while SVR and SVRI were significantly higher than those in the sepsis without shock group and control group [SVR (kPa×s×L^-1): 773.46±291.96 vs. 524.17±84.76, 549.38±72.36, SVRI (kPa×s×L^-1×m^-2): 149.27±51.76 vs. 108.12±12.66, 107.81±11.87, all P < 0.05]. MAP, SV, SVI, CO and CI of preterm infants in the septic shock group were significantly lower than those in the control group [MAP (mmHg, 1 mmHg ≈ 0.133 kPa): 38.55±10.48 vs. 47.46±2.85, SV (mL): 2.45 (1.36, 3.58) vs. 3.96 (3.56, 4.49), SVI (mL/m²): 17.60 (14.20, 25.00) vs. 25.50 (24.00, 29.00), CO (L/min): 0.32 (0.24, 0.63) vs. 0.56 (0.49, 0.63), CI (mL×s^-1×m^-2): 40.01 (33.34, 53.34) vs. 61.68 (56.68, 63.35), all P < 0.05], while SVR and SVRI were similar to the control group [SVR (kPa×s×L^-1): 1 082.88±689.39 vs. 656.63±118.83, SVRI (kPa×s×L^-1×m^-2): 126.00±61.50 vs. 102.37±11.68, both P > 0.05]. Further analysis showed that SV, SVI and CI of neonates at the compensation stage in the septic shock group were significantly lower than those in the control group [SV (mL): 3.60±1.29 vs. 4.73±1.15, SVI (mL/m²): 19.20±8.33 vs. 26.34±3.91, CI (mL×s^-1×m^-2): 46.51±20.34 vs. 61.01±7.67, all P < 0.05], while MAP, SVR and SVRI were significantly higher than those in the control group [MAP (mmHg): 52.06±8.61 vs. 48.54±3.21, SVR (kPa×s×L^-1): 874.95±318.70 vs. 603.01±111.49, SVRI (kPa×s×L^-1×m^-2): 165.07±54.90 vs. 105.09±11.99, all P < 0.05]; MAP, SV, SVI, CO and CI of neonates at the decompensated stage in the septic shock group were significantly lower than those in the control group [MAP (mmHg): 35.13±6.08 vs. 48.54±3.21, SV (mL): 2.89±1.17 vs. 4.73±1.15, SVI (mL/m²): 18.50±4.99 vs. 26.34±3.91, CO (L/min): 0.41±0.19 vs. 0.65±0.15, CI (mL×s^-1×m^-2): 43.34±14.17 vs. 61.01±7.67, all P < 0.05], while SVR and SVRI were similar to the control group [SVR (kPa×s×L^-1): 885.49±628.04 vs. 603.01±111.49, SVRI (kPa×s×L^-1×m^-2): 114.29±43.54 vs. 105.09±11.99, both P > 0.05]. CONCLUSIONS Full-term infant with septic shock exhibit a low cardiac output, high vascular resistance hemodynamic pattern, while preterm infant with septic shock show low cardiac output and normal vascular resistance. At the compensated stage the hemodynamic change is low output and high resistance type, while at the decompensated stage it is low output and normal resistance type. Non-invasive hemodynamic monitoring can assist in the identification of neonatal septic shock and provide basis for clinical diagnosis and treatment.
Humans ; Shock, Septic/physiopathology* ; Infant, Newborn ; Hemodynamics ; Female ; Male ; Case-Control Studies ; Infant, Premature