Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.

Objective:To evaluate the effectiveness of T-piece resuscitator as a respiratory support strategy during the transport of critically ill premature infants,and to provide a scientific basis for clinical decision-making.Methods:A total of 280 critically ill premature newborns hospitalized in the NICU of Fifth Medical Center of Chinese People's Liberation Army General Hospital from January 2017 to December 2023 were included.Infants were categorized into three groups based on the respiratory support method given during transport: the ventilator group(108 cases),the T-piece group(102 cases),and the resuscitation sac group(70 cases).The transport distance,general condition at birth,prenatal conditions,dyspnea symptoms at admission,blood gas analysis results,clinical diagnosis,clinical intervations,and related treatment among the three groups were retrospectively analyzed.Results:There were no significant differences in the transport distance,the number of endotrached intubations during transport,the main complications during pregnancy,the general condition at birth,and the history of asphyxia among the three groups(all P>0.05).The incidence of triple-concave sign at admission in T-piece group was significantly lower than that in resuscitation sac group (41.7% vs.62.9%, P=0.005),and the arterial carbon dioxide tension(PaCO 2) at admission was also significantly lower in T-piece group than that in resuscitation sac group[(41.194±8.720) mmHg vs.(45.360±13.998) mmHg, P=0.034].Furthermore,the T-piece group had significantly lower rates of type II respiratory failure(0.9% vs.22.9%),respiratory acidosis(9.3% vs.27.1%),hypoxemia(7.4% vs.28.6%),hyperoxygen partial pressure(1.9% vs.28.6%),neonatal respiratory distress syndrome(66.7% vs.87.1%),and intracranial hemorrhage(18.5% vs.38.6%) during hospitalization compared to the resuscitation sac group (all P<0.05).The proportion of tracheal intubations(63.9% vs.87.1%) and the time of using non-invasive ventilator[1.0(1.0,2.0)d vs.1.0(1.0,6.0)d] were also significantly lower in T-piece group compared to the resuscitation sac group(both P<0.05).Compared with the respiratory group,there were no statistically significant differences in the aforementioned indicators for the T-piece group. Conclusion:The T-piece resuscitator can provide stable and adjustable positive end-inspiratory pressure and positive expiratory pressure,as well as a stable inspired oxygen flow rate,without increasing the risk of invasive procedures and severe complications.Its application during the transport and treatment of critically ill premature infants has definite clinical value.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

This study was aimed at comprehensively understanding the epidemic status of acute hemorrhagic conjunctivitis(AHC)and influencing factors related outbreak in Fujian Province,to provide valuable insights for AHC prevention and control in this region.We conducted a descriptive statistical analysis of epidemiological data for AHC cases.Additionally,clinical samples collected from a 2023 outbreak were subjected to pathogen detection,determination of full-length nucleotide sequences within the VP1 region,genotype identification,and comprehensive analysis.The peak incidence of AHC in 2023 was observed in September and accounted for a substantial proportion(86.39%,5 205/6 025)of the total cases throughout the year.The three areas with the highest incidence rates were Sanming(118.57/100 000),Longyan(53.83/100 000)and Zhangzhou(16.02/100 000).From 2011 to 2022,the inci-dence of AHC in Longyan City was the highest for consecutive 12 years.During the peak AHC outbreak period in Fujian Province in 2023,all 62 conjunctival swabs collected were identified as CVA24v,and 60 complete VP1 sequences were obtained through se-quencing.The nucleotide sequence identity among these 60 sequences ranged from 98.7%to 100%,whereas the amino acid identity ranged from 98.4%to 100%.The highest nucleotide sequence identity was observed for the 2023 strain isolated from Zhongshan,Guangdong Province(rang:99.0%～100%).The 2023 strains in Fujian Province belonged to the GIV genotype,and L16I represented a potential unique amino acid variation within the sequence.CVA24v was the causative agent responsible for this AHC epidemic,and its GIV genotype is currently the dominant type in China.Future efforts should prioritize AHC prevention and control measures cen-tered in key cities.Monitoring and early warning of AHC in the whole province should be strengthened before September each year,and the variation of pathogen nucleic should also be tracked in time.

Refinement and standardisation of the management of clinical diagnostic and treatment operations is a key aspect of achieving high-quality development in hospitals.By analysing the management status quo of clinical diagnosis and treatment operations in hospitals,it combed the problems existing in this field.Based on the closed-loop management model,it proposed measures and recommendations to promote the continuous optimisation of the management of clinical diagnostic operations in hospitals.Hospitals should establish hospital-level operation catalog and conduct classified management,authorize operators and dynamically adjust them,carry out operation quality management,pay attention to information management of operation management,and combine operation management with physician performance management.

Objective:To explore the potential role of lipoprotein-associated phospholipase A2 (Lp-PLA2) and components of metabolic syndrome (MS) in the early progression of carotid arteriosclerosis.Methods:The study was a cross-sectional study. Urban participants undergoing routine health check-ups were enrolled from all 11 prefecture-level cities in Zhejiang Province between January and December 2022. General clinical information was obtained through interviews, and data on MS was collected from the clinical health examinations. Serum Lp-PLA? levels were measured in all participants. All participants were divided into 3 groups according to the results of the carotid ultrasound: the normal group, the intima thickening group with carotid intima thickening change and the plaque group. Multivariable logistic regression models were used to evaluate the associations of Lp-PLA2, MS, and the components of MS with early carotid atherosclerosis. Receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of combining Lp-PLA2 with MS and the cumulative number of MS components for early carotid atherosclerosis.Results:A total of 4 009 urban adults undergoing routine health check-ups were enrolled (mean age (48.9±8.46) years, 2 665(66.5 %)male). Of these, 1 398 were in the normal group, 1 650 in the intima thickening group, and 961 in the plaque group. Multivariable logistic regression demonstrated that Lp-PLA2 was independently associated with early carotid atherosclerosis ( OR=1.34, 95% CI: 1.11-1.63, P=0.003). Lp-PLA2 also showed independent positive associations with both carotid intima thickening and carotid plaque formation, with the latter being more pronounced (both P<0.05). MS was independently and positively associated with early carotid atherosclerosis ( OR=1.48, 95 % CI: 1.20-1.84, P<0.001), as well as with intima thickening and carotid plaque formation, with the association being stronger for the latter (both P<0.05). Furthermore, the strength of the association increased progressively with the number of MS components ( P<0.001), especially for carotid plaques formation (both P<0.001). Multivariable logistic regression revealed that, compared with individuals without MS and low Lp-PLA2 levels, the risk of early carotid atherosclerosis was increased in those with high Lp-PLA2 alone, MS alone, or both conditions concurrently, with the highest risk observed when both were present (all P<0.05). ROC analyses demonstrated that the combination of elevated Lp-PLA2 with 3, 4, or 5 MS components yielded good diagnostic performance for early carotid atherosclerosis ( AUC=0.869, 0.888, and 0.889, respectively), intima thickening ( AUC=0.844, 0.860, and 0.845, respectively), and carotid plaque formation ( AUC=0.899, 0.924, and 0.968, respectively) in urban health-screening participants. Conclusions:Lp-PLA2, MS, and the number of MS components were independently and positively associated with early carotid atherosclerosis in urban health chek-up populations. The combination of MS components and Lp-PLA2 provided favorable diagnostic performance for the detection of early carotid atherosclerosis.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To assess the impact of long working hours on sleep disorders among manufacturing workers and explore the roles of alcohol consumption and mental health factors(anxiety and depressive symptoms)in this association.Methods A cross-sectional study design was used to survey 1 336 manufacturing workers in Shenzhen.We collected the data of their demographic characteristics,work-related factors,personal behaviors,sleep disorders,and mental health status.Multivariate Logistic regression analysis was used to assess the association between long working hours and sleep disorders.Stratified analysis and mediation effect models were applied to examine the effect modification by alcohol consumption and the mediating role of mental health factors,respectively.Results Among the study samples,31.8％reported long working hours and 45.6％had sleep disorders.Multivariate Logistic regression analysis showed that long working hours significantly increased the risk of sleep disorders(adjusted OR=2.073,95％ CI:1.478-2.907,P＜0.001).Stratified analysis revealed that the association between long working hours and sleep disorders was more pronounced among alcohol consumers(adjusted OR=2.556,95％ CI:1.432-4.562,P=0.001).Mediation effect analysis showed that anxiety and depressive symptoms partially mediated the relationship between long working hours and sleep disorders,with indirect effects accounting for 25.71％ and 27.14％,respectively.Conclusion Long working hours increase the risk of sleep disorders among manufacturing workers,particularly among those who consume alcohol.Anxiety and depressive symptoms partially explain the association between long working hours and sleep disorders.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.