OBJECTIVE To analyze the influencing factors for achieving target plasma drug concentration （trough） （abbreviated as “PDC”） of vancomycin in patients from high-altitude regions and establish a predictive model for PDC using single- center data， providing references for rational clinical drug use. METHODS Inpatients with vancomycin （1 g， q12 h） administered intravenously in our hospital from January 2021 to June 2024 were retrospectively included. Demographic data， liver and kidney function and hematological indexes were collected. Spearman correlation analysis was used to evaluate the correlation between vancomycin PDC and each detection index. Univariate analysis was used to evaluate the differences of each index in patients with different PDC， and the effects of different gender， body mass index， age and underlying diseases （hypertension/diabetes） on vancomycin PDC. Based on the results of correlation analysis and univariate analysis， multiple linear stepwise regression analysis was used to obtain the independent predictors of vancomycin PDC and construct the prediction model. RESULTS A total of 141 patients were included， with an overall attainment rate of 46.81% for the target PDC of vancomycin. Correlation analysis showed that the vancomycin PDC was positively correlated with age， blood urea nitrogen， uric acid （UA）， serum creatinine （CRE） and β2- microglobulin （β2-MG）， and negatively correlated with height， weight， creatinine clearance rate （CCR）， glomerular filtration rate （GFR）， alanine transaminase （ALT）， hemoglobin （HGB）， white blood cell count and neutrophils （P＜0.05）. There were significant differences in age， CRE and other 14 indexes among different PDC groups （P＜0.05 or P＜0.01）. Age and underlying diseases had significant effects on vancomycin PDC （P＜0.05 or P＜0.01）. CCR， direct bilirubin （DBil）， β2-MG， UA， HGB and height （standardized coefficients were －0.371， 0.367， 0.169， 0.232， －0.140， －0.132； P＜0.05） were independent predictors of vancomycin PDC. The F value of the regression equation was 34.858 （P＜0.05）， the R2 was 0.610， and the adjusted R2 was 0.592. CONCLUSIONS The vancomycin PDC of patients in high-altitude regions is affected by multiple factors such as renal function， liver function and hematological indexes. CCR， HGB and height could be used to predict vancomycin PDC negatively， while DBil， β2-MG and UA could be used to predict vancomycin PDC positively. The variables of the established prediction model could explain 59.2% of the variation of vancomycin PDC.

OBJECTIVE Establish a quantitative analysis method for salidroside （Sal） in mouse serum， bronchoalveolar lavage fluid （BALF）， and lung tissue， and compare the distribution differences of Sal and its liposomes. METHODS Using high-performance liquid chromatography（HPLC）， Welch Xtimate C18 was used as the chromatographic column， with methanol-formic acid aqueous solution （formic acid volume fraction： 0.1% for serum and BALF detection， 0.2% for lung tissue detection） as the mobile phase， flow rate of 1.0 mL/min， detection wavelength of 275 nm， column temperature of 30 ℃， and injection volume of 10 μL. Serum， BALF， and lung tissue homogenate samples were precipitated with methanol for protein analysis. Twelve mice were randomly divided into Sal group and Sal liposome group， and the concentrations of Sal in serum， BALF， and lung tissue were detected after intragastric administration corresponding liquid medicine at a dose of 300 mg/kg （calculated as Sal） for 0.5 h. RESULTS The linear ranges of Sal in serum， BALF， and lung tissue were 1.56-200.00 μg/mL， 1.56-100.00 μg/mL， and 6.24-400.00 μg/g， respectively （all r＝0.999 9）， with intra-day RSD of 1.35%-3.87%， 1.10%-2.75%， and 1.90%-3.86%， respectively； the inter-day RSD of 3.38%-5.11%， 2.22%- 4.36%， and 2.41%-4.73%， respectively. The relative accuracies were 97.95%-101.61%， 98.29%-101.82%， and 97.41%- 106.94%， respectively. The stability RSDs were all less than 6%. Compared with the Sal group， the Sal liposome group significantly increased the concentration of Sal in BALF of mice （P＜0.05）， and significantly decreased the concentration of Sal in serum and lung tissue （P＜0.05）. CONCLUSIONS The HPLC method established in this study is suitable for quantitative analysis of Sal in mouse serum， BALF， and lung tissue. Sal liposomes have a tendency to distribute towards the alveolar cavity during early administration.

Objective:To analyze the clinical features associated with pelvic lymph node metastasis(PLNM)in prostate cancer and to construct a preoperative prediction model for PLNM,thereby reducing unnecessary extended pelvic lymph node dissection(ePLND).Methods:Based on predefined inclusion and exclusion criteria,344 patients who underwent radical prostatectomy and ePLND at the First Affilia-ted Hospital of Zhengzhou University between 2014 and 2024 were retrospectively enrolled,among whom,77 patients(22.4％)were pathologically confirmed to have lymph node-positive disease.The clinical characteristics,MRI reports,and pathological results were collected.The data were then randomly divi-ded into a training cohort(241 cases,70％)and a validation cohort(103 cases,30％).Univariate and multivariate Logistic regression analysis were employed to construct a preoperative prediction model for PLNM.Results:Univariate Logistic regression analysis revealed that total prostate specific antigen(tPSA)(P=0.021),free prostate specific antigen(fPSA)(P=0.002),fPSA to tPSA ratio(fPSA/tPSA)(P=0.011),percentage of positive biopsy cores(P＜0.001),prostate imaging reporting and data system(PI-RADS)score(P=0.004),biopsy Gleason score ≥8(P=0.005),clinical T stage(P＜0.001),and MRI-indicated lymph node involvement(MRI-LNI)(P＜0.001)were significant predictors of PLNM.Multivariate Logistic regression analysis demonstrated that the percentage of positive biopsy cores(OR=91.24,95％CI:13.34-968.68),PI-RADS score(OR=7.64,95％ CI:1.78-138.06),and MRI-LNI(OR=4.67,95％ CI:1.74-13.24)were independent risk factors for PLNM.And a novel nomogram for predicting PLNM was developed by integrating all these three variables.Com-pared with the individual predictors:percentage of positive biopsy cores[area under curve(AUC)=0.806],PI-RADS score(AUC=0.679),and MRI-LNI(AUC=0.768),the multivariate model incor-porating all three variables demonstrated significantly superior predictive performance(AUC=0.883).Consistently,calibration curves and decision curve analyses confirmed that the multivariable model had high predictive accuracy and provided significant net clinical benefit relative to single-variable models.And using a cutoff of 6％,the multiparameter model missed only approximately 5.2％of PLNM cases(4/77),while reducing approximately 53％of ePLND procedures(139/267),demonstrating favorable predictive efficacy.Conclusion:Percentage of positive biopsy cores,PI-RADS score and MRI-LNI are independent risk factors for PLNM.The constructed multivariate model significantly improves predictive efficacy,offering a valuable tool to guide clinical decisions on ePLND.

Purpose To investigate the value of two-dimensional speckle tracking in evaluating right ventricular function in cardiac amyloidosis(CA).Materials and Methods A total of 25 patients with CA,30 patients with hypertrophic cardiomyopathy(HCM)and 30 healthy controls were retrospectively selected from July 2021 to October 2023 in Wuhan Asia Heart Hospital.The regional difference was represented by the formula apical ratio.The parameters of conventional echocardiography,two-dimensional strain and apical ratio of the three groups were analyzed and compared.Results Only segmental strain was different in right ventricular structure and function between CA group and HCM group,and the differences were statistically significant(all P<0.05).In the CA group,the strain gradient of the right ventricle from the apex of the heart to the base was the same as that of the left ventricle,that was,the"apex preservation"pattern,which was not seen in the HCM group and the control group.Comparison of the right ventricular free wall longitudinal strain-apical ratio,right ventricle four-chamber longitudinal strain-apical ratio,left ventride global longitudinal strain-apical ratio among the three groups,it was found that the levels of CA group were higher than HCM group and control group,and the differences were statistically significant(H=40.40,43.18,55.43,all P<0.05).The right ventricular free wall longitudinal strain-apical ratio had the highest CA recognition value,the area under the curve was 0.935,sensitivity was 96%and specificity was 83%.Conclusion Two-dimensional speckle tracking can accurately evaluate the right ventricular function impairment in CA patients and provide a new choice for clinical evaluation and identification of CA patients.

Objective To investigate the effects of Xiaoyukang capsule on neuroinflammation and neuronal apoptosis after Intracerebral hemorrhage(ICH)in rats by regulating JNK/c-JUN signaling pathway.Methods Adult male SD rats were intrastriatally injected with bacterial collagenase Ⅶ to induce an ICH model and they were randomly divided into blank control group,model control group,Xiaoyukang capsule small dose group,medium dose group,and large dose group.Neurobehavioral tests,body mass measurements,hematoma volume statistics,hematoxylin-eosin(HE)staining,immunofluorescence,deoxynucleotidyl transferase dUTP nick end labeling(TUNEL)staining,enzyme-linked immunosorbent assay(ELISA)and Western Blotting were performed after 3 and 5 days,respectively.Results Compared with the blank control group,the rats in the model control group had severe neurobehavioral defects and weight loss(P＜0.05).The arrangement of neurons in brain tissue was disordered,and there was microglia/macrophages activation,neutrophil infiltration,neuronal apoptosis(P＜0.05).The levels of pro-inflammatory factors TNF-α,IL-1β and the expression of p-JNK,p-c-JUN,Bax,Caspase-3 and Cleaved Caspase-3 protein around hematoma were significantly increased(P＜0.05),while the anti-inflammatory factor IL-10 and anti-apoptotic protein Bcl-2 were decreased(P＜0.05).Compared with the model control group,Xiaoyukang capsule large dose group significantly improved the neurobehavioral function of rats,promoted weight recovery and hematoma absorption(P＜0.05).Reduce the pathological injury of brain tissue,inhibition of microglia/macrophages activation,neutrophil infiltration and neuronal apoptosis(P＜0.05).In addition,the levels of pro-inflammatory factors TNF-α,IL-1β and the expression of p-JNK,p-c-JUN,Bax,Caspase-3,Cleaved Caspase-3 protein around hematoma were significantly decreased(P＜0.05),and the anti-inflammatory factor IL-10 and anti-apoptotic protein Bcl-2 were increased(P＜0.05).Conclusion Xiaoyukang capsule can improve neurobehavioral defects in ICH rats,promote body mass recovery and hematoma absorption,reduce pathological damage of brain tissue,inhibit microglia/macrophage activation and neutrophil infiltration,its mechanism may be achieved by inhibiting JNK/c-JUN-mediated neuroinflammation and neuronal apoptosis.

Objective:To analyze the clinical features associated with pelvic lymph node metastasis(PLNM)in prostate cancer and to construct a preoperative prediction model for PLNM,thereby reducing unnecessary extended pelvic lymph node dissection(ePLND).Methods:Based on predefined inclusion and exclusion criteria,344 patients who underwent radical prostatectomy and ePLND at the First Affilia-ted Hospital of Zhengzhou University between 2014 and 2024 were retrospectively enrolled,among whom,77 patients(22.4％)were pathologically confirmed to have lymph node-positive disease.The clinical characteristics,MRI reports,and pathological results were collected.The data were then randomly divi-ded into a training cohort(241 cases,70％)and a validation cohort(103 cases,30％).Univariate and multivariate Logistic regression analysis were employed to construct a preoperative prediction model for PLNM.Results:Univariate Logistic regression analysis revealed that total prostate specific antigen(tPSA)(P=0.021),free prostate specific antigen(fPSA)(P=0.002),fPSA to tPSA ratio(fPSA/tPSA)(P=0.011),percentage of positive biopsy cores(P＜0.001),prostate imaging reporting and data system(PI-RADS)score(P=0.004),biopsy Gleason score ≥8(P=0.005),clinical T stage(P＜0.001),and MRI-indicated lymph node involvement(MRI-LNI)(P＜0.001)were significant predictors of PLNM.Multivariate Logistic regression analysis demonstrated that the percentage of positive biopsy cores(OR=91.24,95％CI:13.34-968.68),PI-RADS score(OR=7.64,95％ CI:1.78-138.06),and MRI-LNI(OR=4.67,95％ CI:1.74-13.24)were independent risk factors for PLNM.And a novel nomogram for predicting PLNM was developed by integrating all these three variables.Com-pared with the individual predictors:percentage of positive biopsy cores[area under curve(AUC)=0.806],PI-RADS score(AUC=0.679),and MRI-LNI(AUC=0.768),the multivariate model incor-porating all three variables demonstrated significantly superior predictive performance(AUC=0.883).Consistently,calibration curves and decision curve analyses confirmed that the multivariable model had high predictive accuracy and provided significant net clinical benefit relative to single-variable models.And using a cutoff of 6％,the multiparameter model missed only approximately 5.2％of PLNM cases(4/77),while reducing approximately 53％of ePLND procedures(139/267),demonstrating favorable predictive efficacy.Conclusion:Percentage of positive biopsy cores,PI-RADS score and MRI-LNI are independent risk factors for PLNM.The constructed multivariate model significantly improves predictive efficacy,offering a valuable tool to guide clinical decisions on ePLND.

Objective:To study the feasibility of detecting vertical semicircular canal function and to analyze the three-dimensional(3D)characteristics and normal reference value in healthy young people.Methods:This was a cross-sectional study conducted from January to June 2024. A three-axis rotating chair was used to perform vertical sinusoidal rotation on 52 healthy young adults (26 males and 26 females, aged 18-40 years) in the left anterior-right posterior (LARP) and right anterior-left posterior (RALP) semicircular canal planes. For each plane, nystagmus was induced with six combinations of different angles and velocity front and back rotation angles of ±30°,±60°,±90°, and velocities of 40°/s and 80°/s, the slow phase velocity (SPV) and their symmetry of 3D nystagmus were analyzed. SPSS 20.0 was used to compare the statistical differences in these two parameters across different stimulation protocols.Results:There were no spontaneous nystagmus in the 52 subjects, and all tests were finished. Except the combinations of (±30°-40°/s), three components of nystagmus were induced stably in the rest of the stimulations. The SPVs of vertical components were no statistically insignificant ( P>0.05), and some horizontal or torsion components were statistically significant ( P<0.05). The 95% reference range of the symmetry was≤25% in the vertical and≤30% in the torsional component of the nystagmus except for (±30°-80°/s), the symmetry was 32.2% and 49.2% respectively. The trend changes of the three components were consistent, among which the vertical and torsional components induced by (±60°-80°/s) and (±90°-80°/s) were the best, the SPV value of the vertical components was higher in the latter group than the former apart from the front RALP, while no significant difference was found in the torsional components ( P>0.05). Conclusion:The (±90°-80°/s) combination is the optimal method to detect the function of vertical semicircular canal in 3D chair test. When observing torsional component, the combining scheme of (±60°-80°/s) and (±90°-80°/s) is better. Considering tolerance, the (±60°-80°/s) combination is recommended.

Objective:To investigate the efficacy of a predictive model for differentiating benign and malignant renal tumors based on CT radiomic features and clinical features.Methods:A retrospective study was conducted on 1 395 patients with renal tumors admitted to the First Affiliated Hospital of Zhengzhou University from December 2011 to December 2021, including 842 males and 553 females. The median age was 55 (44, 59) years, and the median tumor diameter was 3.6 (2.7, 4.6) cm. All patients underwent contrast-enhanced CT scaning before surgery, and radiomic features were extracted from non-contrast, arterial, and venous phase images. Prediction models for distinguishing benign and malignant renal tumors were constructed using five machine learning algorithms (logistic regression, support vector machine, neural network, random forest, and extreme gradient boosting), and these models were then ensembled to construct a stacking classifier. All patients underwent partial nephrectomy, and they were divided into a training group (941 cases, December 2011 to June 2020) and a validation group (454 cases, July 2020 to December 2021) based on the date of surgery. A clinical-radiomic model was developed by combining the result of stacking classifier, clinical features and CT report results, and its predictive performance was evaluated in the validation group.Results:The radiomic signature based on the combined features and five machine learning algorithms(AUC 0.835-0.844) showed higher accuracy in predicting benign and malignant renal tumors compared to single phases (AUC 0.744-0.831). After integrating the five machine learning algorithms, the AUC of the three-phase combined radiomic model in the validation group improved to 0.847(95% CI 0.802-0.892). The clinical-radiomic model, incorporating radiomic features, clinical features, and CT report results, achieved a significantly higher AUC in the validation group compared to radiologists [0.919(95% CI 0.889-0.950)vs. 0.835(95% CI 0.786-0.883), P<0.01]. Conclusions:The predictive model integrating CT radiomics features, clinical characteristics, and CT report results demonstrates excellent discriminative ability in distinguishing benign and malignant renal tumors.

Objective To exploring the drug rules for treating children's night cough based on the theory of"Shaoyang as the pivot".Methods 189 cases of children with night cough were included,and 224 prescriptions.Used the Traditional Chinese Medicine Inheritance Assistance Platform to analyze the time distribution,syndrome types,and four nature,five flavors,and channel tropism of diseases.Used frequency statistics,association rule analysis,and cluster analysis to extract drug patterns for pediatric night cough.Results Coughing occured most frequently during the Yin period.The syndrome type was mainly Shaoyang syndrome.The high-frequency core drugs were Chaihu,Huangqin,and Banxia,etc..The prescription characteristics were Xiaochaihu decoction without Renshen,Shengjiang,and Dazao,and added Wuweizi,Danggui and Xingren.The drugs were used flexibly according to the syndromes:Maxing Er San decoction was added to the phlegm and drink syndrome,Qumai Er Chen decoction was added to the food stagnation syndrome,Sijunzi decoction was added to the qi deficiency syndrome,Maiwei Dihuang decoction was added to the yin deficiency syndrome,and Weijing decoction was added to the phlegm and heat syndrome.Conclusion Based on the basic principle of harmonizing Shaoyang,and according to the disease mechanism,the classical prescription is flexibly used,forming a night cough treatment system based on the"Shaoyang as the pivot"theory,with distinct clinical characteristics.

Purpose To investigate the value of two-dimensional speckle tracking in evaluating right ventricular function in cardiac amyloidosis(CA).Materials and Methods A total of 25 patients with CA,30 patients with hypertrophic cardiomyopathy(HCM)and 30 healthy controls were retrospectively selected from July 2021 to October 2023 in Wuhan Asia Heart Hospital.The regional difference was represented by the formula apical ratio.The parameters of conventional echocardiography,two-dimensional strain and apical ratio of the three groups were analyzed and compared.Results Only segmental strain was different in right ventricular structure and function between CA group and HCM group,and the differences were statistically significant(all P<0.05).In the CA group,the strain gradient of the right ventricle from the apex of the heart to the base was the same as that of the left ventricle,that was,the"apex preservation"pattern,which was not seen in the HCM group and the control group.Comparison of the right ventricular free wall longitudinal strain-apical ratio,right ventricle four-chamber longitudinal strain-apical ratio,left ventride global longitudinal strain-apical ratio among the three groups,it was found that the levels of CA group were higher than HCM group and control group,and the differences were statistically significant(H=40.40,43.18,55.43,all P<0.05).The right ventricular free wall longitudinal strain-apical ratio had the highest CA recognition value,the area under the curve was 0.935,sensitivity was 96%and specificity was 83%.Conclusion Two-dimensional speckle tracking can accurately evaluate the right ventricular function impairment in CA patients and provide a new choice for clinical evaluation and identification of CA patients.