[Objective] To investigate the factors associated with alanine aminotransferase (ALT) abnormalities in multi-ethnic blood donors across five Zang autonomous prefectures in the plateau regions of Qinghai Province, and to provide evidence for ensuring blood safety and formulating screening strategies. [Methods] A retrospective analysis was performed on the ALT abnormal test results of blood donors in the Zang autonomous prefectures of Qinghai from 2022 to 2024. The correlations between ALT levels and factors including gender, age, altitude, and infectious markers were investigated. [Results] The overall ALT unqualified rate among blood donors in this region was 9.01%. Significant differences in ALT levels were observed across genders and age groups (P<0.05). Variations in ALT abnormality rates were also noted among different plateau regions (P<0.05). Overall, ALT values exhibited an increasing trend with rising altitude. The average ALT unqualified rates were 11.19% in Zang donors, 7.96% in Han donors, and 4.79% in donors from other ethnic groups (P<0.05). No statistically significant association was observed between ALT abnormality and the presence of HBV/HCV infectious markers (P>0.05). [Conclusion] In the plateau areas of Qinghai, multi-ethnic blood donors have a relatively high ALT levels and ALT unqualified rates, showing distinct regional characteristics. ALT elevation in voluntary blood donors is related to non-pathological factors such as gender, age, and dietary habits, but not to infectious indicators.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

OBJECTIVE: To explore the risk factors affecting the prognosis of patients with sepsis complicated with acute pulmonary embolism, and to construct and validate a nomogram predictive model for in-hospital mortality risk. METHODS: Based on the American Medical Information Mart for Intensive Care (MIMIC-III, MIMIC-IV) databases, the data were collected on patients with sepsis complicated with acute pulmonary embolism from 2001 to 2019, including baseline characteristics, and vital signs, disease scores, laboratory tests within 24 hours of admission to the intensive care unit (ICU), and interventions. In-hospital mortality was the outcome event. The total samples were divided into training and testing sets in a 7:3 ratio by random sampling. Univariate Cox regression analysis was used to verify the impact of all variables on the risk of in-hospital mortality, thereby screen potential influencing factors. Subsequently, a stepwise bi-directional regression method was applied to select factors one by one, leading to the construction of a nomogram prediction model. Collinearity testing was used to demonstrate the absence of strong multicollinearity among the influencing factors in the nomogram prediction model. The discrimination of the nomogram model, sequential organ failure assessment (SOFA), and simplified pulmonary embolism severity index (sPESI) was evaluated using C-index in the test set. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of various models for in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism. RESULTS: A total of 562 patients with sepsis complicated with acute pulmonary embolism were included, including 393 in the training set and 169 in the testing set. Univariate Cox regression analysis showed that 30 factors associated with in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism. Through stepwise bi-directional regression, 12 variables were ultimately selected, including gender, presence of malignant tumors, body temperature, red cell distribution width (RDW), blood urea nitrogen (BUN), serum potassium, prothrombin time (PT), 24-hour urine output, mechanical ventilation, vasoactive drugs, warfarin use, and sepsis-induced coagulopathy (SIC). Collinearity testing indicated no strong multicollinearity among the influencing factors [all variance inflation factor (VIF) > 10]. A nomogram model was constructed using the 12 variables mentioned above. The nomogram model predicted the C-index and its 95% confidence interval (95%CI) of in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism better than SOFA score and sPESI [0.771 (0.725-0.816) vs. 0.579 (0.519-0.639), 0.608 (0.554-0.663)]. The ROC curve showed that the area under the curve (AUC) and its 95%CI of the nomogram model were higher than those of the SOFA score and sPESI [0.811 (0.766-0.857) vs. 0.630 (0.568-0.691), 0.623 (0.566-0.680)]. These findings were consistently replicated in the internal validation of the testing set. In both the training and testing sets, Delong's test showed that the AUC of the nomogram model was significantly higher than the SOFA score and sPESI (both P < 0.05). CONCLUSION The nomogram model demonstrated good predictive effectiveness for the risk of in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism, enabling clinicians to predict mortality risk in advance and take timely interventions to reduce mortality.
Humans ; Pulmonary Embolism/mortality* ; Hospital Mortality ; Nomograms ; Sepsis/complications* ; Prognosis ; Risk Factors ; Intensive Care Units ; Male ; Female ; Middle Aged ; Aged

Objective:To explore the association between albumin-corrected serum calcium (ACSC) levels and 30-day all-cause mortality in patients hospitalized for community-acquired bacterial pneumonia (CABP).Methods:A secondary analysis was conducted on 1 899 patients with CABP from a Norwegian cohort study. The relationship between baseline ACSC levels and 30-day mortality was assessed using multivariable logistic regression models, adjusted for potential confounders.Results:A significant positive correlation was found between ACSC levels and 30-day mortality risk after adjusting for confounding variables ( OR=1.95, 95% CI=1.48-2.58). When ACSC levels were categorized into tertiles (T1-T3), a trend analysis revealed that the T2 and T3 groups had significantly higher mortality risks compared to the lowest tertile (T1), with odds ratios ( OR) and 95% confidence intervals ( CI) of 1.52(95% CI: 0.97-2.38) and 2.21 (95% CI: 1.44-3.39), respectively ( P for trend <0.001). Subgroup analyses demonstrated no significant interactions across predefined subgroups (all P for interaction > 0.05). Conclusions:In patients with CABP and admission ACSC levels of ≥8.6 mg/dL, higher ACSC levels were positively associated with an increased risk of 30-day mortality. These findings highlight the potential prognostic value of ACSC levels in CABP patients.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

Objective To compare the effectiveness of cobalt chloride test papers and borescope in evaluating the drying of endoscopes,providing a reference for clinical selection of appropriate assessment tools.Methods 10 gastroscopes and 10 colonoscopes procedures were selected from November 2023 to March 2024 for circulation experiments.After endoscope reprocessing,they were randomly divided into five groups with different drying times(30 s,3 min,6 min,9 min,and 12 min)with 200 samples.Cobalt chloride test paper and borescope were used to evaluate the drying effectiveness.Results The qualified rate of gastrointestinal endoscope by borescope was significantly higher than that by cobalt chloride test paper,but cobalt chloride test paper was obviously better than that by borescope in convenience and cost-effectiveness.The borescope had the function of visualization,and the quantitative positioning observation of residual droplets showed that there were a large number of droplets left after gastrointestinal endoscope drying for 30 s,and the number of droplets was obviously reduced after drying for 3 min.Among them,the gastroscope was mainly light(1～5 drops/strip)and none(0 drops/strip),and the colonoscope was mainly moderate(6～10 drops/strip)and light droplets.Compared with different drying times,there was a significant statistical difference in the number of residual droplets in the endoscope(P<0.01),and the localized droplets mainly remained in the distal bending part and the proximal bifurcation part of the lumen.Conclusion Both cobalt chloride test papers and borescope are important methods for assessing endoscope drying efficacy,each with its own advantages and limitations.Clinicians can use both methods in combination to comprehensively evaluate the overall dryness of endoscopes,thereby ensuring the safety and effectiveness of the endoscope reprocessing process.

Purpose To investigate the expression of bone sialoprotein(BSP)in the tissues and cells of endome-trial cancer(EC)and its effects on the proliferation and invasion of EC cells.Methods The expression of BSP was assessed by immunohistochemistry in 235 EC tissues and 88 normal endometrial tissues,and its correlation with clinico-pathological features was analyzed.Western blot was used to compare BSP levels between human endometrial carcinoma cell line(HHUA)and normal human endumetial epithelial cells(HEEC).BSP was knocked down in HHUA cells via transient transfection,and the cells were divided into blank control group and BSP-knockdown group.The effects of BSP knockdown on cell cycle,proliferation,migration,invasion,and apoptosis were evaluated using PI staining,CCK-8,scratch,Transwell,and Annexin V-FITC assays,respectively.Protein levels of TGF-β signaling pathway compo-nents were analyzed by Western blot.Results BSP expression was significantly higher in EC tissues than in normal endometrium(P＜0.001)and correlated with lymph node metastasis and advanced FIGO stage(P＜0.05).BSP pro-tein level was also significantly elevated in HHUA cells(2.455 8±0.008 9)compared to HEECs(1.571 2±0.005 4)(P＜0.01).After knockdown,compared with the control group,the proliferation index(74.4±3.33),migration rate(0.48±0.03),and invasion ability(0.36±0.11)of the cells were increased,and the apoptosis rate(25.97％)of the cells was increased(P＜0.05).Furthermore,the expression levels of TGF-β signaling pathway downstream proteins TGF-β1(0.290 4±0.002 3)、TGF-β2(0.292 9±0.001 6)、Smad2(0.469 3±0.001 1)、Smad3(0.247 0±0.001 7)、pAKT(0.382 1±0.001 9)、ATK(0.119 6±0.001 6)and MEK1(0.258 9±0.000 3)in the BSP-knockdown group of EC cells decreased(P＜0.01).Conclusion BSP is highly expressed in endometrial cancer and promotes cancer cell proliferation,invasion,and metastasis by activating the TGF-β signaling pathway.

In order to cultivate high-level medical talents, introducing information technology into medical teaching, the teaching faculty of the "Medical Functional Experiment" course constructed and explored an online-offline hybrid experimental problem-based learning (PBL) model guided by hypoxia pathophysiology problems. We explore the teaching method, implementation process, assessment, and effect evaluation of the experimental PBL model from the aspects of teaching objects, online teaching platform setting, and offline application, and also discuss its academic innovation points and application value. We hope to provide ideas for integrating the PBL concept into experimental teaching and help cultivate excellent innovative medical talents.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.