Coagulase-negative Staphylococci(CoNS)are a group of gram-positive cocci incapable of producing co-agulase,which distinguishes them from Staphylococcus aureus.CoNS are widely distributed in natural environ-ment and are commonly found on skin,mucous membranes and other host-associated tissues.In recent years,CoNS have become one of the significant pathogenic factors for hospital-associated infections and have been partic-ularly prevalent among the patients with impaired immune function.Although the pathogenicity of CoNS is gener-ally considered lower than that of coagulase-positive Staphylococci,the widespread use of implanted medical de-vices and extensive use of antibiotics has led to increasingly serious problems of drug resistance,which has atta-ched great importance to the hospital.The databases such as PubMed,Embase and CNKI were retrieved to reveal the drug resistance mechanisms of CoNS,aiming to push forward the research and development of new drugs against drug-resistant bacteria and emerging diagnosis and treatment measures and provide scientific bases for sol-ving the problems of antibiotics resistance around the globe.

Objective:To assess the levels and abnormal rates of trace elements and vitamins among older patients in Beijing Hospital, and to analyze the correlations between these measured indicators.Methods:This study selected 49 older individuals who underwent physical examinations at Beijing Hospital between May 2021 and March 2024.The participants were divided into two age groups: 60-79 years old(23 cases)and 80-100 years old(26 cases). Levels' differences of trace elements and vitamins between the two age groups were analyzed.Pearson correlation analysis was used to investigate the correlations among the tested indicators, and multivariate analysis was conducted using a generalized linear regression model.Results:Among the 49 older individuals, the overall abnormal rate for trace element test results was 8.16%(4 cases), with 2 cases of iron(Fe)deficiency(4.08%)and 2 cases of calcium(Ca)deficiency(4.08%). The overall abnormal rate for vitamin test results was 24.49%(12 cases), which included 5 cases of vitamin B2 deficiency(10.20%), 1 case of vitamin C deficiency(2.04%), and 6 cases of vitamin D deficiency(12.24%). Statistically significant differences were observed between the two age groups in zinc(Zn)and vitamin C levels( t=2.84, 2.83; P=0.007, 0.007). Pearson correlation analysis revealed correlations among 19 pairs of indicators.The top five correlations were between plumbum(Pb)and cadmium(Cd)( r=0.769, P<0.001), Fe and manganese(Mn)( r=0.685, P<0.001), Ca and magnesium(Mg)( r=0.677, P<0.001), vitamin B12 and vitamin C( r=0.455, P=0.001), and vitamin B9 and vitamin D( r=0.422, P=0.003), respectively.The results of the multivariate analysis indicated that, after adjusting for the effects of age group and gender, statistical differences in correlations remained among the remaining trace elements and vitamins, except for those between vitamin B1 and vitamin B12, vitamin B1 and vitamin C, and vitamin A and vitamin D (all P<0.05). Conclusions:The deficiency rates of trace elements and vitamins remain notably high among older patients in our hospital, underscoring the necessity for enhanced nutritional supplementation and regular monitoring of trace element and vitamin levels within this population.Furthermore, a correlation exists between trace elements and vitamins, which offers valuable insights for the diagnosis and treatment of related diseases.

With the growing complexity and higher risk of modern warfare,artificial intelligence(AI)technologies have been increasingly used in the field of military medicine.This study investigates the innovative applications of AI in military medicine,focusing on practices in such countries as the United States,Israel and the United Kingdom.The research reveals that AI technologies have been extensively applied in battlefield medical training,casualty status monitoring,medical decision support and unmanned rescue operations.Through virtual reality simulation,intelligent decision support and vital sign monitoring technologies,AI has significantly improved the efficiency and precision of battlefield medical care.Despite challenges related to technological implementation,environmental adaptability and ethical controversies,future battlefield medical care will increasingly rely on unmanned systems and intelligent equipment to deliver efficient medical treatment through human-machine collaboration.

Objective To establish a scientific and feasible Chinese medicine(CM)comprehensive control and prevention program for elderly hypertension with early renal damage(EH-ERD)patients through high-level evidence-based medicine(EBM)evidence.Methods On the basis of literature research and evidence evaluation,we construct a database of specific prescriptions and implementation methods of CM comprehensive control and prevention program with EH-ERD.40 senior titled-experts were consulted in two rounds of questionnaires based on Delphi methods.We selected,evaluated,and revised specific CM comprehensive control and prevention program of EH-ERD through the analysis of multiple factors,such as expert's positive activity coefficient,authority coefficient,degree of opinion concentration and degree of coordination.Results In view of the CM appropriate intervention techniques with high-grade evidence(level Ⅰ and Ⅱ)and recommendation(level A and B),we have developed the CM comprehensive control and prevention plan items for EH-ERD.The activity coefficients in two-round consultation were 92.5%and 97.14%respectively,the overall authority coefficient(Cr)was exceeded 0.70,and the coordination coefficient was less than 0.25.With a sound activity coefficient,a relatively high Cr and a rather unified degree of opinion concentration and coordination,the CM comprehensive control and prevention program for EH-ERD was established,which included six primary indicators(CM compound preparation,acupuncture and massage,CM health education,medicinal diet therapy,health care exercise and foot bath)and seventeen secondary indicators.Conclusion The CM comprehensive control and prevention program for EH-ERD established in this study can provide a basis for the further formation of expert consensus or guidelines.Moreover,it can supply the strategy and paradigm for standardization of CM-based health management of EH-ERD.

Objective:To investigate the current status of innovative behavior among male nurses in the Anhui Province, conduct potential profile analysis and explore its influencing factors, providing reference for formulating intervention stratigies to enhance innovative behavior among male nurses.Methods:From January to February 2022, a stratified convenience sampling method was used to select clinical male nurses as the participants from five tertiary and first-class comprehensive hospitals in Anhui Province. A cross-sectional survey was conducted using the general demoraphic questionnaire, Nurse Innovation Behavior Scale, Authentic Leadership Scale, and Psychological Capital Questionnaire. Potential profile analysis was conducted on the innovative behavior characteristics of male nurses, and single factor analysis and Logistic regression analysis were used to test the differences in male nurses' innovative behavior characteristics.Results:Among the 220 male nurses, 107 (48.64%) were under the age of 30, accounting for the largest proportion. The innovative behavior score of participants was (38.83 ± 7.80) points, which could be divided into three categories: low-level silent type (27.3%, 60/220), medium-level conservative type (44.5%, 98/220), and high-level active type (28.2%, 62/220). Compared to the low-level silent type, male nurses with higher levels of perceived authentic leadership were more likely to belong to the medium-level conservative type ( OR = 1.055, 95% CI 1.019 - 1.093, P<0.05) and the high-level active type ( OR = 1.124, 95% CI 1.066 - 1.184, P<0.01). The higher the level of psychological capital, the greater the probability that male nurses belong to the medium-level conservative type ( OR = 1.088, 95% CI 1.050 - 1.128, P<0.01) and the high-level active type ( OR = 1.273, 95% CI 1.196 - 1.355, P<0.01). Conclusions:The innovative behavior of male nurses in Anhui Province was at a medium level and had obvious classification characteristics. Nursing managers should focus on low-level silent type and medium-level conservative type male nurses, and adopt targeted interventions and support based on different category characteristics to improve their innovation behavior capacities in clinical settings.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.