Objective:To explore the distribution characteristics and drug resistance of pathogenic bacteria in neonatal infectious diseases in Meizhou city from 2019 to 2023, and to guide the use of clinical antibacterial drugs.Methods:A retrospective analysis was conducted on the bacterial culture and drug sensitivity results of neonates with bacterial infectious diseases diagnosed and treated in Meizhou People's Hospital from January 2019 to December 2023. The distribution characteristics of pathogenic bacteria were observed, and the resistance of common pathogenic bacteria to antibacterial drugs was analyzed.Results:A total of 660 strains of pathogenic bacteria were collected, of which 434 isonates (65.76%) came from sputum, 111 isonates (16.82%) came from blood and 73 isonates (11.06%)came from umbilical secretions or other secretions.Gram-negative bacteria accounted for 55.45%(366/660), mainly Escherichia coli and Klebsiella pneumoniae. Gram-positive bacteria accounted for 42.42%(280/660), mainly Staphylococcus aureus and Streptococcus agalactiae. A total of 216 strains of multidrug-resistant bacteria were found, and the top three were extended spectrum beta-lactamases (ESBLs)-producing Escherichia coli, methicillin-resistant Staphylococcus aureus and ESBLs-producing Klebsiella pneumoniae.The resistance rates of Escherichia coli and Klebsiella pneumoniae to cefuroxime and cefotaxime were higher, and the resistance rates to ceftazidime, piperacillin-tazobactam and carbapenems were lower. The resistance rate of Staphylococcus aureus to penicillin was 91.61%. Streptococcus agalactiae was sensitive to penicillin, and both of them were sensitive to linezolid and vancomycin. Conclusions:The main pathogens of neonatal bacterial infection are Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and Streptococcus agalactiae. The proportion of multidrug-resistant bacteria is high, mainly producing ESBLs bacteria. Antibiotics should be rationally selected according to the distribution and drug resistance of pathogens.

Objective:To explore the distribution characteristics and drug resistance of pathogenic bacteria in neonatal infectious diseases in Meizhou city from 2019 to 2023, and to guide the use of clinical antibacterial drugs.Methods:A retrospective analysis was conducted on the bacterial culture and drug sensitivity results of neonates with bacterial infectious diseases diagnosed and treated in Meizhou People's Hospital from January 2019 to December 2023. The distribution characteristics of pathogenic bacteria were observed, and the resistance of common pathogenic bacteria to antibacterial drugs was analyzed.Results:A total of 660 strains of pathogenic bacteria were collected, of which 434 isonates (65.76%) came from sputum, 111 isonates (16.82%) came from blood and 73 isonates (11.06%)came from umbilical secretions or other secretions.Gram-negative bacteria accounted for 55.45%(366/660), mainly Escherichia coli and Klebsiella pneumoniae. Gram-positive bacteria accounted for 42.42%(280/660), mainly Staphylococcus aureus and Streptococcus agalactiae. A total of 216 strains of multidrug-resistant bacteria were found, and the top three were extended spectrum beta-lactamases (ESBLs)-producing Escherichia coli, methicillin-resistant Staphylococcus aureus and ESBLs-producing Klebsiella pneumoniae.The resistance rates of Escherichia coli and Klebsiella pneumoniae to cefuroxime and cefotaxime were higher, and the resistance rates to ceftazidime, piperacillin-tazobactam and carbapenems were lower. The resistance rate of Staphylococcus aureus to penicillin was 91.61%. Streptococcus agalactiae was sensitive to penicillin, and both of them were sensitive to linezolid and vancomycin. Conclusions:The main pathogens of neonatal bacterial infection are Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and Streptococcus agalactiae. The proportion of multidrug-resistant bacteria is high, mainly producing ESBLs bacteria. Antibiotics should be rationally selected according to the distribution and drug resistance of pathogens.

Objective To establish a model for evaluating risk grade of cardiovascular health in adults undergoing health checkups.Methods Medical record of individuals who took health checkup in 6 heahhcare centers from 2008 to 2010 was retrospectively reviewed.The study populations were then assigned to 3 classes by using Cluster analysis and ANOVA.An assessment model for cardiovascular health was then established by using discriminant analysis method.Results The evaluation model of cardiovascular health was built by using cluster analysis and diseriminant analysis.The model was good and the consistent homology rate was 97.5％.The model was well used for cardiovascular health evaluation in healthcare center (the Kappa value in 2009 and 2010 was 0.446 and 0.415,respectively) and the consistency of the model was good.Conclusions This evaluation model of cardiovascular health could be used for grading and assessing of the level of health management of cardiovascular health.

Objective To investigate the detection rate of abnormal cardiovascular and metabolic indicators in health check-up populations,and provide evidence for early screening and health interventions for cardiovascular and metabolic diseases.Methods A total of 5578 adults (male 3404 and female 2174) were recruited from a medical institution in Beijing in 2008 and 2010.Cardiovascular and metabolic indicators,including blood pressure,lipid profile and fasting plasma glucose,were tested at baseline and 2 years.Paired t test or paired rank sum test was used for data analysis.Results Detection rate of abnormal blood pressure in 2010 was lower than that in 2008; however,rates of abnormal total cholesterol,low-density lipoprotein cholesterol and fasting plasma glucose were higher in 2010 than in 2008 (t values were 5.378,13.885,3.210,10.401 and 4.355,respectively; all P ＜ 0.05).High-density lipoprotein cholesterol and triglyceride showed no statistically significant difference between 2008 and 2010 (t values were 1.204 and -0.012,respectively; both P ＞ 0.05).Conclusion We have been observing a dynamic change in abnormal cardiovascular and metabolic indicators,based on which effective interventions could be taken to reduce the risk of cardiovascular diseases.

Objective To study the effects of physical training on baroreflex sensitivity (BRS) by monitoring finger arterial pressure among volunteers who had experienced three-months′ aerobic or anaerobic exercises.Methods A total of 16 healthy men were divided into the aerobic exercise+anaerobic exercise group (group A,n=7) and aerobic exercise group (group B,n=9).Each subject was trained for 12 weeks.Head-up tilt (HUT) table test was performed before and 4,8,and 12 weeks after training.Blood pressure,finger arterial pressure and electrocardiogram (ECG) were compared between the two groups.Results The BRS was significantly increased after training in group A,although no changes were found in group B.Conclusion Three-months′ aerobic exercise+anaerobic exercise seems to enhance the BRS; however,three-months′ aerobic exercise may decrease the BRS.

Objective To explore the use of non-invasive technique for early detection of atherosclerosis in health checkups. Methods A total of 46 824 healthy normotensive volunteers, including 24 879 men and 21 945 women, from 27 physical examination centers were reviewed for their clinical data. Pulse wave velocity (PWV) by age was calculated,and related factors of PWV were analyzed. Results Reference range of PWV was increased with age. Detectable rate of abnormal PWV in men < 60 years was significantly higher than women (P<0.05). Detectable rate of PWV of > 1400 cm/s, > 1700 cm/s or > 2000 cm/s were 34. 5% ,7. 5% and 1.9% Respectively. Correlation analysis showed that PWV was closely related with age and mean systolic blood pressure ( P < 0. 05 ). Conclusion Non-invasive technique for early detection of atherosclerosis and PWV should be useful in physical examinations and cardiovascular disease screening.