Objective To analyze the correlation between the drug resistance rate of common pathogens in blood culture of inpatients from the First Hospital Affiliated to Hebei North University from 2019 to 2021 and the frequency of antimicrobial drug use (DDDs). Methods Strains isolated from positive blood cultures of inpatients from 2019 to 2021 were collected, and data on antimicrobial drug use in patients with positive blood cultures during the same period were also collected. WHONET 5.6 software and Pearson correlation analysis were used to explore the correlation between pathogenic bacterial resistance rate and antimicrobial DDDs. Results A total of 916 samples tested positive in blood cultures from 2019 to 2021. Among the top antimicrobial drugs in DDDs, the DDDs of cefazolin, cefuroxime, and ceftazidime all showed an upward trend year by year (the increase from 2019 to 2021 was 38.8%, 228.3%, and 87.1%, respectively). A total of 739 pathogenic bacteria strains were isolated from positive blood culture samples from 2019 to 2021, and the top five pathogenic bacteria were Escherichia coli, Klebsiella pneumoniae, Staphylococcus epidermidis, Staphylococcus aureus, and Pseudomonas aeruginosa, accounting for 37.2%, 16.1%, 8.1%, 7.4%, and 6.5%, respectively. The drug resistance rates of Escherichia coli to cefazolin, ceftazidime, cefotaxime, and polymyxin B were positively correlated with their DDDs (r=0.961, 0.907, 0.988, 0.997, P < 0.05). The drug resistance rates of Klebsiella pneumoniae to piperacillin, cefazolin, cefotaxime, cefepime, aztreonam, imipenem, meropenem, levofloxacin, and polymyxin B were positively correlated with their DDDs (r=0.766, 0.772, 0.838, 0.667, 0.734, 0.821, 0.904, 0.980, 0.997, P < 0.05). The drug resistance rate of Pseudomonas aeruginosa to gentamicin was positively correlated with their DDDs (r=0.878, P < 0.05). The drug resistance rate of Acinetobacter baumannii to moxifloxacin was positively correlated with its DDDs (r=0.856, P < 0.05). However, there was no correlation between the drug resistance rates of Staphylococcus aureus and Staphylococcus epidermidis to most commonly used antimicrobial drugs and antimicrobial DDDs (P>0.05). Conclusion The pathogenic bacteria causing bloodstream infections in inpatients at the First Hospital Affiliated to Hebei North University from 2019 to 2021 are complex and diverse (mainly Gram-negative bacteria). The overall drug resistance rate of pathogenic bacteria shows an upward trend, and there is a correlation between the drug resistance rates of most pathogenic bacteria and antimicrobial DDDs.

Gene-environment interactions underlie cancer susceptibility and progression. The human body is exposed to and affected by the microenvironment seiscasts of various microorganisms and their metabolites, such as the microenvironment of gut microbiota. The relative abundance of some intestinal microbes in lung cancer patients was significantly different from that in the control group. These studies suggest that gut microbiota may be associated with lung cancer through some ways. At the same time, gut microbiota is relatively manageable environmental variables compared to the external environment we are exposed to, as they are highly quantifiable and relatively stable in the individual. Just as some measures of diagnosis, intervention and treatment of lung cancer targeting gut microbiota have achieved some results in clinical practice. In this review, we mainly discuss the role of gut microbiota and its metabolites in the progression and treatment of lung cancer through certain ways, such as regulation of metabolism, inflammation, and immune response. Finally, based on current research progress, it is inferred that research on gut microbiota may be an effective approach to the precise and personalized medical treatment of lung cancer.
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Objective:To analyze the current situation of cardiovascular diseases and the exposure as well as control level of their risk factors in the Chinese residents.Methods:Based on the 2017 China Cardiovascular Health Index (hereafter referred to as CHI) study, data on the 29 indicators from three dimensions named as prevalence of cardiovascular disease, exposure to relevant risk factors, and prevention and control of risk factors of the 31 provinces in China (excluding Hong Kong, Macao and Taiwan) were obtained. To make a higher CHI score indicate better cardiovascular health levels, all the reverse metrics were firstly converted into positive metrics. Thenstandard normal conversion were adopted and a percentage score was assigned to each value according to its area proportion under the standard normal conversion distribution curve. Finally the scores of the three dimensions and the total CHI were calculated by weighted sum of these scores. Scores and ranks in each dimension were used to compare the performance in different provinces.Results:Heilongjiang, Tibet, Jilin, Henan, Xinjiang had the lowest scores in the prevalence of cardiovascular disease. Tianjin, Hebei, Liaoning, Shanxi and Beijing had the lowest scores in the exposure to relevant risk factors. Hainan, Guizhou, Yunnan, Shaanxi and Guangxi had the lowest in the prevention and control of risk factors. In terms of behavioral risk factors, smoking rates, rate of insufficient physical activity, obesity rate of adults aged 18 in the 31 provinces in China excluding Hong Kong, Macao, Taiwan were 26.80% (25.15%, 29.25%), 17.80% (11.60%, 19.45%) and 12.00% (8.90%, 17.95%), respectively. The daily per capital salt intake level was 8.6 (8.2, 9.3) g. As for metabolic risk factors, the prevalence of dyslipidemia (33.7%) exceeded hypertension (26.0%) and diabetes (9.7%), while its awareness rate (14.5%), treatment rate (7.9%) and control rate (5.4%) were all below the corresponding levels of hypertension and diabetes.Conclusion:Risk factors of cardiovascular disease in China is relatively severe and the prevention and control of dyslipidemia needs to be further strengthened.

Objective:To analyze the current situation of cardiovascular diseases and the exposure as well as control level of their risk factors in the Chinese residents.Methods:Based on the 2017 China Cardiovascular Health Index (hereafter referred to as CHI) study, data on the 29 indicators from three dimensions named as prevalence of cardiovascular disease, exposure to relevant risk factors, and prevention and control of risk factors of the 31 provinces in China (excluding Hong Kong, Macao and Taiwan) were obtained. To make a higher CHI score indicate better cardiovascular health levels, all the reverse metrics were firstly converted into positive metrics. Thenstandard normal conversion were adopted and a percentage score was assigned to each value according to its area proportion under the standard normal conversion distribution curve. Finally the scores of the three dimensions and the total CHI were calculated by weighted sum of these scores. Scores and ranks in each dimension were used to compare the performance in different provinces.Results:Heilongjiang, Tibet, Jilin, Henan, Xinjiang had the lowest scores in the prevalence of cardiovascular disease. Tianjin, Hebei, Liaoning, Shanxi and Beijing had the lowest scores in the exposure to relevant risk factors. Hainan, Guizhou, Yunnan, Shaanxi and Guangxi had the lowest in the prevention and control of risk factors. In terms of behavioral risk factors, smoking rates, rate of insufficient physical activity, obesity rate of adults aged 18 in the 31 provinces in China excluding Hong Kong, Macao, Taiwan were 26.80% (25.15%, 29.25%), 17.80% (11.60%, 19.45%) and 12.00% (8.90%, 17.95%), respectively. The daily per capital salt intake level was 8.6 (8.2, 9.3) g. As for metabolic risk factors, the prevalence of dyslipidemia (33.7%) exceeded hypertension (26.0%) and diabetes (9.7%), while its awareness rate (14.5%), treatment rate (7.9%) and control rate (5.4%) were all below the corresponding levels of hypertension and diabetes.Conclusion:Risk factors of cardiovascular disease in China is relatively severe and the prevention and control of dyslipidemia needs to be further strengthened.