BACKGROUND: The potential impact of pre-existing coronary artery stenosis (CAS) on right ventricular (RV) function during acute pulmonary embolism (PE) episodes remains underexplored. This study aimed to investigate the association between pre-existing CAS and RV dysfunction in patients with acute PE. METHODS: In this multicenter, case-control study, 89 cases and 176 controls matched for age were enrolled at three study centers (Peking Union Medical College Hospital, Fuwai Hospital, and the Second Affiliated Hospital of Harbin Medical University) from January 2016 to December 2020. The cases were patients with acute PE with CAS, and the controls were patients with acute PE without CAS. Coronary artery assessment was performed using coronary computed tomographic angiography. CAS was defined as ≥50% stenosis of the lumen diameter in any coronary vessel >2.0 mm in diameter. Conditional logistic regression analysis was used to evaluate the association between CAS and RV dysfunction. RESULTS: The percentages of RV dysfunction (19.1% [17/89] vs. 44.6% [78/176], P <0.001) and elevated systolic pulmonary artery pressure (sPAP) (19.3% [17/89] vs. 39.5% [68/176], P = 0.001) were significantly lower in the case group than those in the control group. In the multivariable logistic regression model, CAS was independently and negatively associated with RV dysfunction (adjusted odds ratio [OR]: 0.367; 95% confidence interval [CI]: 0.185-0.728; P = 0.004), and elevated sPAP (OR: 0.490; 95% CI: 0.252-0.980; P = 0.035), respectively. CONCLUSIONS Pre-existing CAS was significantly and negatively associated with RV dysfunction and elevated sPAP in patients with acute PE. This finding provides new insights into RV dysfunction in patients with acute PE with pre-existing CAS.
Humans ; Pulmonary Embolism/complications* ; Case-Control Studies ; Male ; Ventricular Dysfunction, Right/physiopathology* ; Female ; Middle Aged ; Aged ; Coronary Stenosis/complications* ; Logistic Models ; Adult

Objective:To investigate the effects of acute sleep deprivation (ASD) on hippocampal glucose metabolism and neuroinflammation in rat models.Methods:Twenty SD rats (10 males and 10 females) were divided into four groups (five in each group) by random sampling method: female ASD group, male ASD group, female control group, and male control group. Among them, the ASD group constructed the ASD model. After 72h sleep deprivation, all rats underwent 18F-FDG and N, N-diethyl-2-(2-(4-(2- 18F-fluoroethoxy)phenyl)-5, 7-dimethylpyrazolo[1, 5-a]pyrimidin-3-yl)acetamide ( 18F-DPA-714) microPET/CT brain imaging in 2d to compare the changes of 18F-FDG and 18F-DPA-714 SUV mean in the hippocampus of rats. Brain histopathology, immunohistochemistry and immunofluorescence staining were detected in rats. Independent-sample t test was used to analyze the data. Results:18F-FDG imaging showed the hippocampal SUV mean between ASD group and control group (female: 4.11±0.35 vs 1.89±0.28; male: 3.43±0.47 vs 2.02±0.54) were statistically significant ( t values: 9.65, 3.92, P values: <0.001, 0.002). 18F-DPA-714 imaging showed the hippocampal SUV mean between ASD group and control group (females: 0.28±0.01 vs 0.28±0.02; male: 0.26±0.02 vs 0.31±0.04) were not statistically significant ( t values: -0.18, -2.24, P values: 0.859, 0.056). The 18×10 3 translocator protein (TSPO) immunohistochemistry showed the expression in the hippocampal region of the brain between ASD group and control group (female: 0.19±0.02 vs 0.19±0.01; male: 0.21±0.01 vs 0.20±0.01) were not statistically different ( t values: -0.48, -1.67, P values: 0.651, 0.139). Immunofluorescence staining showed that microglial cytosol in the hippocampal region of the brain decreased after 72h of ASD, and the protrusion points and surrounding branches were significantly reduced. Conclusion:Increased hippocampal glucose metabolism in rats is observed after 72 h of ASD without significant neuroinflammation.

Objective:To explore the impact of the interaction between alcohol consumption and overweight/obesity on the risk of hypertension.Methods:It was a cross-sectional study, and convenient sampling was used to enroll physical examination participants aged 18-60 years from the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, the Affiliated Hospital of Southwest Medical University and Luzhou People′s Hospital from June to November in 2020. All the participants were given questionnaire survey, physical examination and biochemical tests. A total of 5 000 questionnaires were distributed in the study, and 4 878 questionnaires were collected, of which 4 397 (90.14%) were valid. According to the diagnostic criteria for hypertension, the study participants were divided into hypertension group (1 128 cases) and non-hypertension group (3 269 cases), and t-test and chi-square test were used to compare the differences in gender, age, and other data between the two groups; and multivariate logistic regression analysis was used to analyze the association of alcohol consumption, overweight/obesity with the risk of hypertension and the interaction between alcohol consumption and overweight/obesity on the risk of hypertension, and relative excess risk of interaction, attributable proportion of interaction and the synergy index were used to evaluate the impact of the interaction between alcohol consumption and overweight/obesity on the risk of hypertension. Results:Among the 4 397 individuals included in the analysis, 3 116 were male and 1 281 were female, with a mean age of (42.42±8.83) years. The detection rate of hypertension was 25.7% (1 128/4 397). The risk of hypertension in overweight/obese individuals was 2.566 times ( OR=2.566, 95% CI: 2.167-3.038) higher than that of non-overweight/obese individuals, and the risk of hypertension in alcohol consumption individuals was 1.486 times ( OR=1.486, 95% CI: 1.250-1.766) higher than that of non-drinkers. The risk of hypertension in drinking+non-overweight/obesity group, non-drinking+overweight/obesity group, and drinking+overweight/obesity group was 1.468 times ( OR=1.468, 95% CI: 1.112-1.936), 2.538 times ( OR=2.538, 95% CI: 1.968-3.272), and 3.796 times ( OR=3.796, 95% CI: 2.963-4.863) higher than that of non-drinking+non-overweight/obesity group, respectively (all P<0.05). Alcohol consumption and overweight/obesity had an additive interaction effect on the risk of hypertension, and the relative excess risk of interaction, attributable proportion of interaction and the synergy index was 0.791 (95% CI: 0.158-1.424), 0.208 (95% CI: 0.049-0.368), 1.394 (95% CI: 1.030-1.888), respectively. There was no significant multiplicative interaction between alcohol consumption and overweight/obesity on the risk of hypertension ( P>0.05). Conclusions:Alcohol consumption and overweight/obesity are both associated higher risk of hypertension. In addition, there is an additive interaction between alcohol consumption and overweight/obesity on the risk of hypertension.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

Objective:To understand the status of bone health literacy in middle-aged and older female breast cancer patients undergoing chemotherapy and analyze its influencing factors using structural equation modeling.Methods:A convenience sampling method was used to select 250 middle-aged and older breast cancer patients undergoing chemotherapy in two tertiary hospitals in Xi'an from May to October 2024. Patients were surveyed using a general information questionnaire, the Bone Health Literacy Scale for Middle-Aged and Older Women, the Perceived Social Support Scale, and the General Self-Efficacy Scale. Pearson correlation analysis was used to examine the correlations among bone health literacy, perceived social support, and self-efficacy.Results:A total of 250 questionnaires were distributed, and 239 valid questionnaires were recovered, yielding an effective response rate of 95.6% (239/250). The mean score of the Bone Health Literacy Scale among the 239 patients was (39.71±8.16). Bone health literacy was positively correlated with perceived social support and self-efficacy ( P<0.01). Perceived social support directly affected bone health literacy and could also indirectly influence it through general self-efficacy, with an indirect effect value of 0.367, accounting for 45.2% of the total effect (0.367/0.812) . Conclusions:Healthcare professionals should implement effective interventions to enhance patients' perceived social support and strengthen their self-efficacy, thereby improving bone health literacy.

Objective:To understand the status of bone health literacy in middle-aged and older female breast cancer patients undergoing chemotherapy and analyze its influencing factors using structural equation modeling.Methods:A convenience sampling method was used to select 250 middle-aged and older breast cancer patients undergoing chemotherapy in two tertiary hospitals in Xi'an from May to October 2024. Patients were surveyed using a general information questionnaire, the Bone Health Literacy Scale for Middle-Aged and Older Women, the Perceived Social Support Scale, and the General Self-Efficacy Scale. Pearson correlation analysis was used to examine the correlations among bone health literacy, perceived social support, and self-efficacy.Results:A total of 250 questionnaires were distributed, and 239 valid questionnaires were recovered, yielding an effective response rate of 95.6% (239/250). The mean score of the Bone Health Literacy Scale among the 239 patients was (39.71±8.16). Bone health literacy was positively correlated with perceived social support and self-efficacy ( P<0.01). Perceived social support directly affected bone health literacy and could also indirectly influence it through general self-efficacy, with an indirect effect value of 0.367, accounting for 45.2% of the total effect (0.367/0.812) . Conclusions:Healthcare professionals should implement effective interventions to enhance patients' perceived social support and strengthen their self-efficacy, thereby improving bone health literacy.

Objective:To investigate the effects of acute sleep deprivation (ASD) on hippocampal glucose metabolism and neuroinflammation in rat models.Methods:Twenty SD rats (10 males and 10 females) were divided into four groups (five in each group) by random sampling method: female ASD group, male ASD group, female control group, and male control group. Among them, the ASD group constructed the ASD model. After 72h sleep deprivation, all rats underwent 18F-FDG and N, N-diethyl-2-(2-(4-(2- 18F-fluoroethoxy)phenyl)-5, 7-dimethylpyrazolo[1, 5-a]pyrimidin-3-yl)acetamide ( 18F-DPA-714) microPET/CT brain imaging in 2d to compare the changes of 18F-FDG and 18F-DPA-714 SUV mean in the hippocampus of rats. Brain histopathology, immunohistochemistry and immunofluorescence staining were detected in rats. Independent-sample t test was used to analyze the data. Results:18F-FDG imaging showed the hippocampal SUV mean between ASD group and control group (female: 4.11±0.35 vs 1.89±0.28; male: 3.43±0.47 vs 2.02±0.54) were statistically significant ( t values: 9.65, 3.92, P values: <0.001, 0.002). 18F-DPA-714 imaging showed the hippocampal SUV mean between ASD group and control group (females: 0.28±0.01 vs 0.28±0.02; male: 0.26±0.02 vs 0.31±0.04) were not statistically significant ( t values: -0.18, -2.24, P values: 0.859, 0.056). The 18×10 3 translocator protein (TSPO) immunohistochemistry showed the expression in the hippocampal region of the brain between ASD group and control group (female: 0.19±0.02 vs 0.19±0.01; male: 0.21±0.01 vs 0.20±0.01) were not statistically different ( t values: -0.48, -1.67, P values: 0.651, 0.139). Immunofluorescence staining showed that microglial cytosol in the hippocampal region of the brain decreased after 72h of ASD, and the protrusion points and surrounding branches were significantly reduced. Conclusion:Increased hippocampal glucose metabolism in rats is observed after 72 h of ASD without significant neuroinflammation.

Objective:To explore the impact of the interaction between alcohol consumption and overweight/obesity on the risk of hypertension.Methods:It was a cross-sectional study, and convenient sampling was used to enroll physical examination participants aged 18-60 years from the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, the Affiliated Hospital of Southwest Medical University and Luzhou People′s Hospital from June to November in 2020. All the participants were given questionnaire survey, physical examination and biochemical tests. A total of 5 000 questionnaires were distributed in the study, and 4 878 questionnaires were collected, of which 4 397 (90.14%) were valid. According to the diagnostic criteria for hypertension, the study participants were divided into hypertension group (1 128 cases) and non-hypertension group (3 269 cases), and t-test and chi-square test were used to compare the differences in gender, age, and other data between the two groups; and multivariate logistic regression analysis was used to analyze the association of alcohol consumption, overweight/obesity with the risk of hypertension and the interaction between alcohol consumption and overweight/obesity on the risk of hypertension, and relative excess risk of interaction, attributable proportion of interaction and the synergy index were used to evaluate the impact of the interaction between alcohol consumption and overweight/obesity on the risk of hypertension. Results:Among the 4 397 individuals included in the analysis, 3 116 were male and 1 281 were female, with a mean age of (42.42±8.83) years. The detection rate of hypertension was 25.7% (1 128/4 397). The risk of hypertension in overweight/obese individuals was 2.566 times ( OR=2.566, 95% CI: 2.167-3.038) higher than that of non-overweight/obese individuals, and the risk of hypertension in alcohol consumption individuals was 1.486 times ( OR=1.486, 95% CI: 1.250-1.766) higher than that of non-drinkers. The risk of hypertension in drinking+non-overweight/obesity group, non-drinking+overweight/obesity group, and drinking+overweight/obesity group was 1.468 times ( OR=1.468, 95% CI: 1.112-1.936), 2.538 times ( OR=2.538, 95% CI: 1.968-3.272), and 3.796 times ( OR=3.796, 95% CI: 2.963-4.863) higher than that of non-drinking+non-overweight/obesity group, respectively (all P<0.05). Alcohol consumption and overweight/obesity had an additive interaction effect on the risk of hypertension, and the relative excess risk of interaction, attributable proportion of interaction and the synergy index was 0.791 (95% CI: 0.158-1.424), 0.208 (95% CI: 0.049-0.368), 1.394 (95% CI: 1.030-1.888), respectively. There was no significant multiplicative interaction between alcohol consumption and overweight/obesity on the risk of hypertension ( P>0.05). Conclusions:Alcohol consumption and overweight/obesity are both associated higher risk of hypertension. In addition, there is an additive interaction between alcohol consumption and overweight/obesity on the risk of hypertension.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP