ObjectiveTo establish the specific chromatogram and quantitative analysis of multi-components by single-marker（QAMS） based on linear calibration using two reference substances（LCTRS）， explore the consistency between Hedyotis Herba dispensing granules and standard decoction， and evaluate the quality of the dispensing granules. MethodsHigh performance liquid chromatography（HPLC） specific chromatogram was established based on 15 batches of Hedyotis Herba standard decoction and 10 batches of the dispensing granules， and LCTRS was used to locate chromatographic peaks. The actual retention times of 7 characteristic peaks in the specific chromatogram was measured on 24 different types of C₁₈ columns， taking deacetyl asperulosidic acid and asperulosidic acid as the dual standard compounds， the retention times of the other 5 characteristic peaks were predicted and validated. Based on this， QAMS was developed to determine the contents of four components（deacetyl asperulosidic acid， deacetyl asperulosidic acid methyl ester， asperulosidic acid， and p-coumaric acid）. Then， the relative correction factors of deacetyl asperulosidic acid， deacetyl asperulosidic acid methyl ester and p-coumaric acid were calculated using the reference peak of asperulosidic acid in the dual standard compounds， and each component was quantified accordingly. Finally， the consistency between the dispensing granules and standard decoction was assessed by taking extract rate of the standard decoction， consistency of the specific chromatograms， contents and transfer rates of the indicator components as indexes， and the quality of the dispensing granules was evaluated. ResultsThere were 7 common peaks in the characteristic chromatogram of samples of Hedyotis Herba standard decoction and the dispensing granules， and four of them were identified by reference standards， namely deacetyl asperulosidic acid（peak 1）， deacetyl asperulosidic acid methyl ester（peak 3）， asperulosidic acid（peak 6） and p-coumaric acid（peak 7）. The similarity between the dispensing granules and the standard decoction was >0.9. The absolute deviation in the predicted retention time for each component by LCTRS was lower than that of the relative retention time method. The extract rate of the 15 batches of Hedyotis Herba standard decoction ranged from 7.89% to 14.60%， the contents of deacetyl asperulosidic acid， deacetyl asperulosidic acid methyl ester， asperulosidic acid and p-coumaric acid were 6.62-19.70， 3.83-17.99， 1.57-6.69， 1.62-4.52 mg·g^-1， and the transfer rates of these components from decoction pieces to the standard decoction were 22.89%-39.60%， 34.03%-62.24%， 24.25%-43.70%， and 40.58%-73.71%， respectively. The extract rate， index component contents and transfer rates from decoction pieces to the three batches of Hedyotis Herba dispensing granules（P1-P3）， produced by manufacturer A， were similar to those of the standard decoction prepared from the same batch of decoction pieces， and all fell within the specified range. The contents of the 4 indicator components in 7 batches of the dispensing granules（P4-P10） from manufacturers B-E were all within the range of the content converted from the standard decoction based on the quantity of the dispensing granules. ConclusionThe established specific chromatogram and QAMS based on LCTRS are reasonable and reliable. Based on the evaluation indicators of standard decoction yield， consistency of specific chromatograms， contents and transfer rates of the four index components， the 10 batches of Hedyotis Herba dispensing granules from various manufacturers have exhibited good consistency with the standard decoction， indicating that the current production process is relatively reasonable.

Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

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 factors affecting carotid plaques among perimenopausal women, so as to provide the basis for the prevention and early intervention of cardiovascular diseases in perimenopausal women. Methods: Perimenopausal women aged 40-60 who underwent health check-ups at Xingtai People's Hospital from January 2022 to January 2023 were selected as subjects by convenient sampling method. Demographic information, lifestyle, waist-to-hip ratio, and blood biochemical indicators were collected through questionnaire surveys, physical examinations, and laboratory tests. Carotid plaques were detected using a Doppler ultrasound diagnostic instrument. Factors affecting carotid plaques among perimenopausal women were identified using a multivariable logistic regression model. Results: Totally 2 146 perimenopausal women were surveyed, with an age of (50.04±5.82) years. Carotid plaques were detected in 525 cases, with a detection rate of 24.46%. Multivariable logistic regression analysis showed that older age (45-<50 years old, OR=1.474, 95%CI: 1.062-2.047; 55-60 years old, OR=1.779, 95%CI: 1.276-2.481), residing in urban areas (OR=1.601, 95%CI: 1.079-2.376), drinking (OR=1.805, 95%CI: 1.108-2.941), hypertension (OR=1.815, 95%CI: 1.290-2.553), abnormal waist-to-hip ratio (OR=2.479, 95%CI: 1.982-3.101), and abnormal atherogenic index of plasma (OR=1.325, 95%CI: 1.064-1.650) were associated with a higher risk of carotid plaques. College degree or above (college, OR=0.659, 95%CI: 0.502-0.865; bachelor's degree or above, OR=0.517, 95%CI: 0.397-0.673), physical exercise (OR=0.621, 95%CI: 0.494-0.781) were associated with a lower risk of carotid plaques. Conclusion The carotid plaques among perimenopausal women mainly affected by age, place of residence, educational level, alcohol consumption, physical exercise, hypertension, waist-to-hip ratio and atherogenic index of plasma.

Objective:This study aimed to analyze the specific measures and practical effects of standardizing the management of patent conversion work in a certain district tertiary hospital, aiming to provide valuable references and guidance for improving patent conversion management for other hospitals of the same level.Methods:This study selected a series of standardized management measures taken by the hospital from July 2022 to December 2023 as the research object, including but not limited to the approval process before patent application, the combing and optimization of the approval process of patent conversion application, and the formulation and implementation of the tax reduction system and other policies.Results:The smooth implementation of various standardized management patent transformation measures in the hospital effectively improved the efficiency of patent quality control and patent conversion. Specifically, it was reflected in the shortening of the ″application conversion contract signing″ period, as well as a significant increase in the total number of patent implementation conversions and the total amount of conversion contracts signed.Conclusions:By standardizing the management of hospital patent conversion, not only can the efficiency and success rate of patent conversion be effectively improved, but also can effectively promote the development of hospital innovation and conversion work.

Objective:To investigate the practicality of TrueFidelity deep learning reconstruction algorithm in low-dose abdominal and pelvic CT angiography (CTA).Methods:The patients who required abdominal and pelvic CTA were prospectively included at the First Affiliated Hospital of Xi′an Jiaotong University from June 2020 to March 2021. All patients underwent low-dose CTA with a tube voltage of 80 kV and smart tube current modulation (100-720 mA). Images were reconstructed using the traditional FBP, adaptive statistical iterative reconstruction with a strength of 50% (ASIR-V 50%), TrueFidelity with medium (TF-M) and high (TF-H) strength. The CT value and standard deviation (SD value) of the abdominal aorta, psoas major muscle and subcutaneous fat in the same layer were measured, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were calculated. We also introduced the measurement of skewness of CT value in psoas major muscle with uniform density. The above indexes of the four groups of reconstructed images were compared. A 5-point scoring method was used to evaluate the granularity, fuzziness and beam-hardening artifacts of all images. Objective measurement indicators, such as CT values, were tested by repeated measure ANOVA with the Bonferroni post hoc test.Results:There were forty-six patients in the study. The volume CT dose index of the scan was low at (1.09±0.31)mGy. There was no significant difference in CT values of vessels and muscles between the four groups ( P>0.05), but there was a significant difference in SD value( P<0.001). The SD value of the FBP group was the largest and that of the TF-H group was the smallest. The difference between SNR and CNR was statistically significant ( P<0.001), and the overall trend was opposite to that of the SD value. There was no significant difference in the skewness between the four groups. The granularity score of the FBP group was the largest, that of the TF-H group was the smallest, and there was a significant difference among the four groups. The score of fuzziness in the TF-H group was slightly higher than that in the other three groups, but there was no significant difference. The beam-hardening artifact score of FBP and ASIR-V 50% group was the worst, and the TF-H group was the best ( P<0.001). Conclusions:Compared with FBP and ASIR-V, TrueFidelity reconstruction algorithm provides better image quality (comprehensively considering image noise, fuzziness, uniformity, and hardening artifacts) in low-dose CT scanning of abdominal and pelvic vessels, and TF-H has the best image quality.

Objective To explore the effect of compound active tea of Lithocarpus litseifolius on uric acid levels and kidney function of mice with hyperuricemia nephropathy and to provide an experimental basis for the development of hyperuricemia nephropathy drugs and functional food.Methods A mouse model of hyperuricemia nephropathy was established by administering potassium oxazinate with adenine.Mice were randomly divided into common,model,positive drug(10 mg/(kg·d))and compound active tea of Lithocarpus litseifolius high-,middle-and low-dose groups(10 g/(kg ·d),3.33 g/(kg·d)and 1.11g/(kg·d),respectively).One hour after the last gavage,urine protein(UP)was measured by CBB method,urea nitrogen(UUN)was measured by urease method.Orbital blood pampling,blood was collected for uric acid(UA)analysis by enzyme ratio method,urea nitrogen(BUN)was measured by urease method.The serum contents of interleukin 6(IL-6)and tumor necrosis factor(TNF-α)were measured by ELISA.Take kidney tissue,levels of urate transporter 1(URAT1)and glucose transporter 9(GLUT9)were measured by quantitative fluorescence,kidney histopathological changes were observed by HE stainning.Results Compared with the control group,the model group's levels of UP,UUN,UA,BUN,IL-6,URAT1,ULUT9 and TNF-α were significantly increased(P＜0.01,P＜0.05),and the renal tissue structure was normal.Compared with the model group,the positive group's levels of UP,UUN,UA,BUN,IL-6 and TNF-α were significantly decreased(P＜0.01,P＜0.05),there was little glomerular atrophy or deformation in the kidneys,kidney tubular dilatation was occasionally seen,but there was no inflammatory cell infiltration.Compared with the model group,the high-dose compound active tea of Lithocarpus litseifolius group's UP,UUN,UA,BUN,IL-6,URAT1,TNF-α and GLUT9 levels were significantly decreased(P＜0.01,P＜0.05).The middle-dose compound active tea of Lithocarpus litseifolius group's UP,UUN,UA content,IL-6,URAT 1,GLUT9,BUN and TNF-αwere significantly decreased(P＜0.01,P＜0.05).The low-dose compound active tea of Lithocarpus litseifolius group's UP,UUN,UA,IL-6,URAT1,BUN,TNF-α and GLUT9 levels were significantly decreased(P＜0.01,P＜0.05).Conclusions Compound active tea of Lithocarpus litseifolius can reduce uric acid in mice with hyperuricemia nephropathy and has a certain protective effect on the kidneys.The mechanism may be related to the inhibition of uric acid reabsorption,and the specific mechanistic details should be further investigated.

Objective To construct a nomogram model for predicting the risk of in-hospital death in CHF patients by using noninvasive hemodynamic monitoring combined with age,DBP,CRP and renal insufficiency(serum creatinine≥ 442 μmol/L).Methods A total of 223 elderly patients with acute onset of CHF admitted in First,Second Medical Centre of Chinese PLA General Hos-pital from September 2022 to March 2023 were recruited in this study.According to their clinical outcomes,they were divided into survival group(196 cases)and death group(27 cases).Based on the in-hospital death and other related indicators,a nomogram model was constructed to predict the risk factors of in-hospital death in CHF.Results Noninvasive hemodynamic mornitoring indi-cated that the death group had significantly higher LVEF and LCWI values but lower LVEDV value than the survival group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age(OR=1.131,95％CI:1.052-1.213,P=0.001),DBP(OR=0.932,95％CI:0.882-0.982,P=0.011),CRP(OR=1.171,95％CI:1.021-1.352,P=0.024),LVEDV(OR=0.984,95％CI:0.962-0.992,P=0.011)and renal insufficiency(OR=5.863,95％CI:1.351-1.731,P=0.004)were independent risk factors for the short-term prognosis of the elderly CHF patients.The AUC value of the nomogram model was 0.902(95％CI:0.819-0.948,P＜0.05),and calibration curve analysis showed the C-index was 0.902,indicating accurate predictive perform-ance.Conclusion Age,DBP,LVEDV,CRP and renal insufficiency are independent risk factors for the short-term prognosis of the elderly CHF patients.