OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

[Objective] To analyze the influencing factors of repeat blood donor lapsing using a zero-inflated poisson regression model (ZIP). [Methods] The blood donation behavior of 12 498 whole blood donors from 2020 was tracked until December 31, 2023. The factors influencing the frequency of blood donations in a given year was analyzed using ZIP, and donors with 0 blood donation in that year were considered to have lapsed. The changes in relevant influencing factors associated with each blood donation were measured and modeled for analysis. [Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P<0.001); the risk of lapsing of the 35-44 age group and over 45 age group was respectively 40% (OR 95% CI:0.455-0.790, P<0.001) and 61%(OR 95% CI:0.268-0.578, P<0.001) lower than that of the under 25 age group; the risk of lapsing for those who have donated blood twice and ≥3 times was respectively 50% (OR 95% CI:0.405-0.609, P<0.001) and 81% (OR 95% CI:0.154-0.225, P<0.001) lower than that of first-time donors; the risk of lapsing of those with junior high or high school education was 1.2 times that of those with a college degree or higher (OR 95% CI:1.033-1.384, P<0.05); the risk of lapsing for the divorced group was 2.02 times that of the married group (OR 95% CI:1.445-2.820, P<0.001); the risk of lapsing for those with an income (Yuan) of 10 000 to 50 000, 50 000 to 100 000 and more than 100 000 was respectively 0.67 (OR 95% CI:0.552-0.818, P<0.001), 0.72 (OR 95% CI:0.591-0.884, P=0.002) and 0.67 (OR 95% CI:0.535-0.834, P<0.001) times that of those with an income (Yuan) of less than 10 000. The results of the Poisson part are consistent with the results of the zero-inflated part in terms of age and education level. [Conclusion] Blood donor lapsing is overall related to factors such as gender, age, donation frequency, education, marital status and family income. It's essential to care for those blood donors prone to lapse to retain more regular blood donors.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Aim To explore the predictive value of serum free triiodothyronine(FT3)on the long-term prognosis of patients with coronary heart disease after percutaneous coronary intervention(PCI).Methods All the subjects were from a prospective cohort study(PRACTICE study).In this study,15 250 patients with coronary heart disease after PCI in the First Affiliated Hospital of Xinjiang Medical University were selected,and the clinical data,FT3 and creatinine were collected.All the subjects were followed up regularly,and the primary follow-up endpoints were all-cause mortality and cardiogenic mortality,the secondary endpoints were major adverse cardiovascular events(MACE)and major adverse cardiovascular and cerebrovascular events(MACCE).According to the admission criteria,3 109 patients were finally in-cluded in this study.According to the baseline value of FT3,patients were divided into normal FT3 group(FT3:3.65～6.8 pmol/L,1 446 cases)and low FT3 group(FT3＜3.65 pmol/L,1 663 cases).Kaplan-Meier analysis was used for survival analysis,and Log-rank test was used for survival comparison.Multivariate Cox regression analysis was used to e-valuate the risk factors of the follow-up results of the two groups.Results Compared with the normal FT3 group,all-cause mortality and cardiogenic mortality in the low FT3 group increased significantly(P＜0.05).Kaplan-Meier analysis showed that the cumulative risk of all-cause mortality and cardiogenic mortality increased in the low FT3 group(P＜0.05).Multivariate Cox regression analysis indicated that the risk of all-cause mortality increased by 1.639 folds in the low FT3 group(HR=2.639,95％CI:1.385～5.348,P=0.007),while no statistical difference was found in cardiogenic mortality after adjusting for multiple factors(P=0.125).Conclusion The decrease in serum FT3 levels has important predictive value for all-cause mortality after PCI in patients with coronary heart disease.

Aim To investigate the role and mechanism of KLHL21 gene in myocardial infarction(MI)of mice.Methods KLHL21 gene knockout(KO)mice were generated using CRISPR/Cas9 technology,and C57BL/6 wild-type mice were used as controls.Sixty KLHL21 KO mice and 60 wild-type mice were randomly divided into four groups:WT+Sham group(n=30),WT+MI group(n=30),KO+Sham group(n=30)and KO+MI group(n=30).Postoperative is-chemic and infarct areas were assessed using TTC and Evans Blue staining,myocardial injury markers were measured by ELISA,cardiac function was evaluated by ultrasound,and histological changes were examined using HE and Masson stai-ning.Western blot was used to detect proteins related to the nuclear factor-κB(NF-κB)signaling pathway.Results KLHL21 protein expression in the myocardial tissue of KO mice was significantly lower than that in WT mice.The infarct area in KO+MI mice was significantly larger than that in WT+MI group.KO+MI mice showed reduced cardiac function compared with WT+MI mice.HE staining revealed myocardial cell loss,liquefactive necrosis,nuclear fragmentation,and significant neutrophil infiltration,while Masson staining showed aggravated fibrosis in KO+MI group.Serum tumor necrosis factor-alpha(TNF-α),interleukin-6(IL-6),creatine kinase-MB(CK-MB),and cardiac troponin Ⅰ(cTnⅠ)lev-els were significantly increased in KO+MI mice compared with WT+MI mice.Western blot analysis showed increased lev-els of phosphorylated inhibitor of nuclear factor-κB alpha(p-IKBα),P65,and P50,and decreased nuclear factor-κB al-pha(IKBα)in KO+MI mice.Conclusion KLHL21 gene plays a preventive role in myocardial infarction in mice,possibly through inhibition of NF-κB signaling pathway activation.

Objective:To investigate the sero-conversion rate of HIV antibody and influencing factors in cross-border couples in Dehong Dai and Jingpo Autonomous Prefecture(Dehong).Methods:A cohort design was used to recruit HIV-negative people in cross-border couples in Dehong in 2017. Follow-up was conducted in 2023, and questionnaire survey and HIV test were carried out to calculate the sero-conversion rate of HIV antibody. Univariate and multivariate logistic regression models were used to analyze the influence factors for HIV infections.Results:A total of 36 278 HIV-negative persons in cross-border couples were included in the 2017 baseline survey, of whom 22 438 (61.9%) were tested in follow-up in 2023. The sero-conversion rate between 2017 and 2023 was 0.51% (115/22 438). Multivariate logistic regression analysis showed that length of marriage <6 years, Jingpo ethnic group, education level of primary school or below, drug use, illegal marriage and HIV infected spouse were the risk factors of HIV infection in male spouses, and length of marriage <6 years, Jingpo ethnic group, illegal marriage and HIV infected spouse were the risk factors in female spouses.Conclusions:The sero-conversion rate of HIV antibody in cross-border couples in Dehong was relatively high. HIV infection was mainly caused by secondary transmission in the couples, and men might also be infected through drug use. It is necessary to strengthen the registration and management of cross-border couples, especially the couples with discordant HIV infection status, and the intervention in drug users to reduce the risk for secondary transmission of HIV in the cross-border couples.

Objective:To analyze the changes and structural variations in hospitalization costs for patients with lung malignancies after the implementation of diagnosis-intervention packet (DIP) payment system, and to evaluate its effectiveness.Methods:Data from the first page of medical records and hospitalization cost data from the hospital information system of a tertiary general hospital in Henan Province were extracted for patients diagnosed with lung malignancies from 2020 to 2023. The data were divided into pre-implementation group (2020—2021) and post-implementation group (2022—2023) based on the implementation time of DIP. Chi-square test, t test, and Wilcoxon rank-sum test were used to analyze the differences in basic characteristics and hospitalization costs of patients with lung malignancies before and after the implementation of DIP. Grey relational analysis was employed to examine the internal associations between total hospitalization costs and various cost components. Structural variation analysis was used to assess the changes in the structure of hospitalization costs after the implementation of DIP. Results:A total of 14 587 hospitalized patients with lung malignancies were included, with 6 807 cases in the pre-implementation group and 7 780 cases in the post-implementation group. The average length of hospital stay decreased from (13.17±6.74) days before implementation to (12.02±6.49) days after implementation ( P<0.05). The proportion of level-four surgeries increased from 46.4% to 57.0% ( P<0.05). The average hospitalization cost per patient with lung malignancies decreased from 56 952 yuan before DIP implementation to 55 560 yuan after implementation ( P<0.05). For patients with lung malignancies diagnosed as C34.1, C34.2, C34.3, and C34.8, the top four cost components most strongly associated with total hospitalization costs were treatment costs, material costs, comprehensive medical service costs, and diagnostic costs, with correlation coefficients all>0.80. For patients with C34.9, the top four cost components most strongly associated with total hospitalization costs were treatment costs, comprehensive medical service costs, diagnostic costs, and Western medicine costs, with correlation coefficients>0.95. For patients diagnosed as C34.1, C34.2, C34.3, and C34.9, diagnostic costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 75%, among which Western medicine costs and material costs showed negative variation. For patients diagnosed as C34.8, treatment costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 80%, among which Western medicine costs showed negative variation. Conclusions:The implementation of DIP reduced the hospitalization costs for patients with lung malignancies, optimized the structure of hospitalization costs, improved the efficiency of medical services, and promoted the rational allocation of medical resources.