Objective: To investigate the trends in incidence and mortality of lung cancer in Huangpu District, Shanghai Municipality from 2002 to 2019, so as to provide the evidence for formulating lung cancer prevention and control measures. Methods: Data of lung cancer incidence and mortality among residents in Huangpu District from 2002 to 2019 were collected through the Shanghai Cancer Registration and Reporting Management System. The crude incidence and mortality of lung cancer was calculated, and standardized by the data from the Chinese Fifth National Population Census in 2000 (Chinese-standardized rate) and the Segi's world standard population in 1960 (world-standardized rate). The trends in incidence and mortality of lung cancer among residents by age and gender were evaluated using annual percent change (APC). Results: A total of 12 965 cases of lung cancer were reported in Huangpu District from 2002 to 2019, and the crude incidence rate was 80.66/105, the Chinese-standardized incidence rate was 34.54/105, and the world-standardized incidence rate was 31.30/105, all showing upward trends (APC=4.588%, 2.933% and 3.247%, all P<0.05). A total of 10 102 deaths of lung cancer were reported, and the crude mortality rate was 62.30/105, showing an upward trend (APC=0.959%, P<0.05); the Chinese-standardized mortality was 25.93/105, and the world-standardized mortality was 22.05/105, both showing downward trends (APC=-1.282% and -1.263%, both P<0.05). The crude incidence and mortality rates of lung cancer in males were higher than those in females (101.39/105 vs. 60.52/105, 85.45/105 vs. 39.87/105, both P<0.05). The crude incidence and mortality rates of lung cancer showed upward trends with age (both P<0.05), reaching their peaks in the age groups of 80-<85 years (341.37/105) and 85 years or above (355.97/105), respectively. Conclusions The incidence of lung cancer showed an upward trend, while the mortality showed a downward trend in Huangpu District from 2002 to 2019. Elderly men were the high-risk group for lung cancer incidence and mortality.

ObjectiveTo explore the possible mechanisms of Modified Shoutai Pill （寿胎丸加味方， MSP） in treating polycystic ovary syndrome （PCOS） with hyperandrogenism， insulin resistance， and miscarriage， focusing on inflammatory response and endometrial receptivity. MethodsThirty female SPF-grade SD rats with regular estrous cycles and in proestrus， and 15 male SPF-grade SD rats were housed together in a 2∶1 ratio at 18：00. At 8：00 next morning， rats showing abundant sperm and vaginal plugs were considered pregnant on the day 0.5. The 30 pregnant rats were randomly divided into three groups， normal group， model group， and MSP group， with 10 rats in each group. From day 0.5 to day 13.5 of pregnancy， the MSP group was given 26.6 g/（kg·d） of the MSP via gavage twice a day for 14 consecutive days. The normal group and the model group received 4 ml of normal saline daily. From day 7.5 to day 13.5 of pregnancy， the rats in the model group and MSP group were intraperitoneally injected with dihydrotestosterone （DHT） and insulin （INS） for 7 consecutive days to establish a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. On day 13.5 of pregnancy， an oral glucose tolerance test （OGTT） was performed to measure blood glucose levels at 0， 30， 60， 90， and 120 minutes. On day 14.5， serum level of progesterone （P₄）， estradiol （E₂）， fasting insulin （FINS）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α） were measured by ELISA. The insulin resistance index （HOMA-IR） was calculated. Embryo implantation， miscarriage rate， and average number of live fetuses were observed. Uterine tissue pathology was examined by HE staining， and mRNA expression of Il-6， Tnf-α， leukemia inhibitory factor （Lif）， homeobox gene 10 （Hoxa10）， prolactin family 8 subfamily A member 2 （Prl8a2）， and insulin-like growth factor-binding protein 1 （Igfbp1） in the uterine tissue was detected by qRT-PCR. ResultsCompared with the normal group， the model group had significantly higher blood glucose level at 0， 30， 60， 90， and 120 minutes， increased miscarriage rate， elevated HOMA-IR， decreased average number of live fetuses， lower level of P₄ and E₂， higher level of IL-6， TNF-α， and FINS， and higher mRNA expression of Il-6 and Tnf-α in the uterine tissue. The mRNA expression of Lif， Hoxa10， and Prl8a2 was reduced （P＜0.05 or P＜0.01）. The uterus had a dark red color， visible areas of bleeding， fewer embryos with developmental abnormalities， and increased placental necrosis. Pathological examination revealed thrombus in the decidual layer， unclear decidual cell morphology， loose arrangement， scattered distribution， edema degeneration in the cytoplasm， and nuclear shrinkage or disappearance， with extensive infiltration of inflammatory cells. In contrast， compared with the model group， the MSP group showed significantly lower blood glucose level at 0， 30， 60， 90， and 120 min， reduced miscarriage rate， lower HOMA-IR， increased number of live fetuses， higher level of P₄ and E₂， and lower level of IL-6， TNF-α， and FINS. The mRNA expression of Il-6 and Tnf-α in the uterine tissue was lower， while the expression of Lif， Hoxa10， and Prl8a2 mRNA was higher （P＜0.05 or P＜0.01）. There was significant improvement in uterine and embryo conditions， as well as in uterine tissue pathology. ConclusionThe MSP can reduce the miscarriage rate in a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. Its mechanism may involve inhibiting inflammation， improving endometrial receptivity， and restoring the defects in endometrial decidualization.

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 effect of joint exposure to multiple air pollutants on sleep structure in patients with stable chronic obstructive pulmonary disease (COPD), identify key air pollutants, and analyze potential influencing factors.Methods:In this panel study, 92 stable COPD patients were recruited. From March 2021 to September 2023 in Beijing, all participants completed 254 nights of sleep monitoring. The total sleep duration, light sleep duration, deep sleep duration and rapid eye movement sleep duration and their respective proportions in total sleep duration were recorded. The exposure levels of fine particulate matter (PM 2.5), inhalable particulate matter (PM 10), nitrogen dioxide (NO 2), ozone (O 3), sulfur dioxide (SO 2), and carbon monoxide (CO) were estimated based on the infiltration factor method and time-activity logs of participants. To assess the lag effect of air pollutants, moving average concentrations of air pollutants from 0-1 day to 0-3 months were calculated. The linear mixed-effect model and Bayesian kernel machine regression (BKMR) model were used to assess the single and joint effects of air pollutants on sleep structure parameters in COPD patients, respectively. Results:All six types of air pollutants were associated with changes in sleep structure, manifesting as an increase in total sleep duration and light sleep proportion and a reduction in deep sleep proportion. The effects of O 3 were strongest at lag 0-6 days, while other air pollutants were at lag 0-3 months. Joint exposure to multiple air pollutants exerted significant joint effects on sleep structure, and NO 2 was identified as the dominant pollutant. NO 2 had a posterior inclusion probability (PIP) greater than 0.5 for light sleep proportion (PIP=0.691) and deep sleep proportion (PIP=0.957). With an interquartile range (IQR) increase of 8.6 μg/m 3 in NO 2 at lag 0-3 months, the light sleep proportion increased by 10.5% (95% CI: 2.2%-19.4%), and the deep sleep proportion decreased by 19.5% (95% CI:-30.6%- -6.8%). Conclusion:Joint exposure to air pollutants is associated with changes in sleep structure in stable COPD patients, and NO 2 may be a key pollutant.

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.

Objective To explore the value of artificial intelligence(AI)based multi-parameter coronary CT angiography(CCTA)features combined with clinical indicators for predicting coronary plaque progression.Methods Totally 143 coronary atherosclerosis(AS)patients were retrospectively enrolled and divided into progression group(arithmetic average annual growth rate of plaque load＞1％,n=73)and non-progression group(arithmetic average annual growth rate of plaque load＜1％,n=70).The baseline clinical data,CT-derived fractional flow reserve(CT-FFR),perivascular fat attenuation index(FAI),and quantitative plaque features were collected and compared between groups.For variables being statistically different between groups,those had collinearity with others were excluded,and then multivariable logistic regression was used to screen independent predictors of plaque progression from the retained variables,and a combined model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model.Results Progression group had higher proportions of hypertension and diabetes,higher apolipoprotein A1(ApoA1)and high-sensitivity C-reactive protein(hs-CRP)levels but lower high-density lipoprotein cholesterol(HDL-C)levels than non-progression group(all P＜0.05).Progression group showed smaller minimum lumen area and lower CT-FFR,but greater degree of lumen stenosis,total plaque volume,plaque load,non-calcified plaque volume,lipid-rich plaque volume,fibrolipid plaque volume and FAI values than non-progression group(all P＜0.05).Plaque types were different between groups(P＜0.05).Diabetes,low HDL-C,small minimum lumen area and large lipid-rich plaque volume were all independent predictors of plaque progression in patients with coronary AS(all P＜0.05),and the AUC of the combined model for predicting plaque progression was 0.859.Conclusion Multi-parameter CCTA features based on AI combined with clinical indicators could be used to effectively predict progression of coronary AS plaque.

OBJECTIVE To explore the distribution of pathogens isolated from the cervical cancer(CC)patients with postoperative urinary catheter-associated urinary tract infection(UTI)and analyze the predictive values of se-rum high mobility group protein B1(HMGB1),Toll-like receptor 4(TLR4)and nuclear factor kappa B(NF-κB).METHODS Totally 116 patients with CC who underwent radical resection in the First Affiliated Hospital of Henan University of Science and Technology from Jan.2021 to Jan.2024 were enrolled in the study and were divided into the infection group with 31 cases and the non-infection group with 85 cases according to the status of complication with UTI after urinary catheterization.The midstream urine specimens were collected by aseptic method,the pathogens were isolated and identified.The serum HMGB1 level was detected by means of enzyme-linked immu-nosorbent assay,the relative expression levels of peripheral blood TLR4 and NF-κB proteins were detected by Western blot.The efficiencies of serum HMGB1,TLR4 and NF-κB in prediction of postoperative urinary catheter-associated UTI in the CC patients were analyzed by means of receiver operating characteristic(ROC)curves.RESULTS Totally 49 strains of pathogens were isolated from 31 CC patients with postoperative urinary catheter-associated UTI,and the patients who had infection of single species were dominant.Gram-negative bacteria were the most common pathogens,accounting for 61.22％.There were significant differences in the age,complication with diabetes mellitus,duration of urinary catheter indwelling,postoperative uroschesis and previous history of UTI between the infection group and the non-infection group(P＜0.05);there were significant differences in the levels of serum HMGB1,TLR4 and NF-κB between the two groups(P＜0.05).The area under the curve(AUC)of the joint detection of serum HMGB1,TLR4 and NF-κB was 0.906 in prediction of the postoperative urinary catheter-associated UTI in the CC patients,with the sensitivity 83.87％;the predictive efficiencies of the joint de-tection of the indexes were better than those of the single detection(P＜0.05).CONCLUSIONS The gram-negative bacteria are dominant among the pathogens isolated from the CC patients with postoperative urinary catheter-asso-ciated UTI.The joint detection of the serum HMGB1,TLR4 and NF-κB has the highest value in prediction of postoperative urinary catheter-associated UTI in the CC patients.

Objective:To understand the potential characteristics of decision-making preparation in outpatient hypertensive patients based on latent profile analysis, to identify the influencing factors of different categories of decision-making preparation levels, and to explore the performance of different decision-making preparation types in facilitation of patients involvement in treatment decision-making.Methods:Through a cross-sectional study, 350 hypertensive patients attending outpatient clinics in five different types of healthcare institutions (general hospitals, specialised hospitals and community hospitals) in Tianjin during January to May 2024 who met the inclusion and exclusion criteria were selected by the convenience sampling method as study subjects. General Information Questionnaires, Preparation for Decision Making Scale, and Facilitation of Patient Involvement Scale were used for investigation.Results:Totally 350 valid questionnaires [178 males and 172 females aged 25-89(57.24 ± 13.39)years old] were collected. The decision-making preparation score of outpatient hypertensive patients was (64.19 ± 18.69). The latent profile analysis results showed that the decision-making preparation of outpatient hypertensive patients could be divided into three potential categories: decision-making information scarcity type accounted for 20.0%(70/350), decision-making balance negotiation type accounted for 39.7%(139/350), and decision-making preparation adequacy type accounted for 40.3%(141/350). The results of multiple Logistic regression analysis showed that age, medical insurance type, occupation, and children′s condition were the influencing factors for the potential categories of decision-making preparation in outpatient hypertensive patients (all P<0.05). Age [less than 35 years old: OR(95% CI)=0.127(0.020-0.796)], occupation [on the job: OR(95% CI)=2.010 (1.034-3.906)], were the influencing factors of decision-making balance negotiation group (all P<0.05). Medical insurance type [basic medical insurance for urban employees: OR(95% CI)=0.372(0.193-0.720)], occupation [on the job: OR(95% CI)=2.500(1.270-4.920)], children′s condition[junior and senior high school: OR(95% CI)=0.391(0.190-0.802)] were the influencing factors of decision-making preparation adequacy group (all P<0.05). Conclusions:The level of promoting patient participation among outpatients with hypertension is relatively high, and there are differences in the perceived degree of promoting patient participation among patients with different types of decision preparation.It is recommended that medical staff provide decision-making related information based on the characteristics of different decision-making preparation categories of patients, encourage patients to actively participate in decision-making, and construct targeted decision support plans.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.