Objective To analyze the characteristics of postoperative hospital-acquired infections and drug sensitivity in lung transplant recipients over the past 5 years in a single center. Methods A total of 724 lung transplant recipients at Wuxi People's Hospital from January 2019 to December 2023 were selected. Based on the principles of hospital-acquired infection diagnosis, a retrospective analysis was conducted on the hospital infection situation and infection sites of lung transplant recipients, and an analysis of the distribution of hospital-acquired infection pathogens and their antimicrobial susceptibility test status was performed. Results Among the 724 lung transplant recipients, 275 cases of hospital-acquired infection occurred, with an infection rate of 38.0%. The case-time infection rate decreased from 54.2% in 2019 to 22.8% in 2023, showing a downward trend year by year (Z=30.98, P<0.001). The main infection site was the lower respiratory tract, accounting for 73.6%. The pathogens were mainly Gram-negative bacteria, with the top four being Acinetobacter baumannii (37.1%), Pseudomonas aeruginosa (17.3%), Klebsiella pneumoniae (13.7%), and Stenotrophomonas maltophilia (13.4%), with imipenem resistance rates of 89%, 53%, 58% and 100%, respectively. Gram-positive bacteria were mainly Staphylococcus aureus (3.6%), with a methicillin resistance rate of 67%. Conclusions Over the past 5 years, the hospital-acquired infections in lung transplant recipients have shown a downward trend, mainly involving lower respiratory tract infections, with the main pathogens being Acinetobacter baumannii, Pseudomonas aeruginosa and Klebsiella pneumoniae, all of which have high resistance rates to imipenem.

Background and purpose:The Shanghai Municipal Center for Disease Control and Prevention provides annual updates on cancer statistics in Shanghai.Breast cancer is one of the common malignant tumors among women.In recent years,the incidence of female breast cancer was increasing,while its trend of mortality showed declining.This study aimed to investigate the survival rates of new female breast cancer cases in Shanghai from 2002 to 2017.Methods:Data of new cases and deaths of female breast cancer patients with follow-up information from 2002 to 2017 were obtained from the Population-based Cancer Registry and Vital Statistics System of Shanghai Municipal Center for Disease Control and Prevention.Numbers,proportions,and survival rates were stratified by year of diagnosis,age,histological type and stage at diagnosis for analysis.The 5-year observed survival rates were calculated based on the life table method.The probabilities of surviving from 0 to 99 years were estimated with the Elandt-Johnson model,and then cumulative expected survival rates were calculated using the Ederer Ⅱ method.Finally,the 5-year relative survival rates were calculated.The annual percent change(APC)of survival rates was estimated by Joinpoint Regression Program.Results:A total of 73 600 new female breast cancer cases were diagnosed from 2002 to 2017 in Shanghai.Among them,67 681 cases were morphological verification,accounting for 91.96%.By December 31,2022,23 745(32.26%)cases had died,and 19 466(26.45%)cases had died of cancer.A total of 68 332(92.84%)cases,who were either dead or followed for over 5 years,were considered to have complete follow-up.The remaining 5 268(7.16%)cases were lost to follow-up.73 538(99.92%)cases were included in the observed cohort for survival analysis.The number of observed cases nearly doubled from 3330 in 2002 to 6095 in 2017.The 5-year observed survival rate changed from 78.77%in 2002 to 84.55%in 2017 dynamically,showed a low increasing trend with an average rate of 0.50%per year(APC=0.50%,t=8.75,P＜0.001).The 5-year relative survival rate also increased from 83.46%to 89.24%slowly,with an average rate of 0.47%(APC=0.47%,t=9.80,P＜0.001).The overall 5-year observation survival rate of female cancer was 83.24%(82.96%-83.52%),and the 5-year relative survival rate was 87.58%(87.29%-87.87%)in Shanghai from 2002 to 2017.It was increasing over time,decreasing with aging and advanced stage at diagnosis continuously.There was no significant difference in the 5-year relative survival rates between the groups aged 15 to 64(P＞0.05).The group with an unknown stage had the highest number of cases,followed by the stage Ⅱ group,and then the stage Ⅰ group.The 5-year relative survival rate of cases with stage Ⅰ disease reached 99.10%(98.78%-99.42%),but these cases only accounted for 25.51%of the total.The 5-year relative survival rate of cases with stage Ⅳ disease was 52.54%(50.98%-54.11%),and these cases accounted for 6.13%of the total.The 5-year relative survival rate of cases with s unknown stage was 82.04%(81.42%-82.65%),and these cases accounted for 31.05%of the total.Conclusion:The diagnostic levels and survival rates of female breast cancer in Shanghai were relatively high and continue to improve.However,the proportions of cases with unknown histological type and unknown stage remain relatively high,and the proportion of stage Ⅰ cases is not very large.The survival rates of stage Ⅳ cases are relatively low.This study provides evidence for further research,prevention and control efforts for female breast cancer.

Objective:To explore the relationship between obesity indicators and DNA methylation clocks acceleration,and to analyze their temporal sequence.Methods:Data were obtained from two sur-veys conducted in 2013 and 2017-2018 by the Chinese National Twin Registry.Peripheral blood DNA methylation data were measured using the Illumina Infinium Human Methylation 450K BeadChip and EPIC BeadChip.DNA methylation clocks/acceleration metrics(GrimAA,PCGrimAA and Dunedin-PACE)were calculated using the DNA methylation online tool(https://dnamage.genetics.ucla.edu/)or R code provided by researchers.Obesity indicators included weight,body mass index(BMI),waist circumference,waist-hip ratio,and waist-height ratio.A total of 1 070 twin individuals were included in the cross-sectional analysis,comprising 378 monozygotic(MZ)twin pairs and 155 dizygotic(DZ)twin pairs for within-pair analysis.Mixed-effects models were used to examine the associations between obesity indicators and DNA methylation clocks,as well as their acceleration measures.The longitudinal analysis included 314 twin individuals,comprising 95 MZ twin pairs and 62 DZ twin pairs for within-pair analy-sis.Cross-lagged panel models were applied to further explore the temporal relationships between obesity and DNA methylation clock indicators.All analyses were conducted both in the full twin sample and separately within MZ and DZ twin pairs.Results:In the cross-sectional analysis population,monozygotic twins accounted for 71.0％,males for 68.0％,and the mean chronological age was(49.9±12.1)years.In the longitudinal analysis population,monozygotic twins accounted for 60.5％,males for 60.8％,with a mean baseline chronological age of(50.4±10.2)years and a mean follow-up duration of(4.6±0.6)years.Except for the waist-to-hip ratio,which was significantly higher at follow-up com-pared with baseline,no statistically significant differences were observed in the means of other obesity in-dicators between baseline and follow-up.Correlation analysis revealed that weight,BMI,waist circumfe-rence,waist-hip ratio(WHR),and waist-height ratio(WHtR)were positively correlated with Dunedin-PACE in all the twins,with WHtR showing the strongest association(β=0.21,95％CI:0.11 to 0.31).Weight and BMI were negatively associated with GrimAA(β=-0.03,95％CI:-0.05 to-0.01;β=-0.07,95％CI:-0.12 to-0.02),while weight was negatively associated with PCGrim-AA(β=-0.02,95％CI:-0.03 to 0.00).However,within-twin-pair analyses showed no statistically significant correlations.Cross-lagged panel model analysis indicated that higher baseline weight might lead to increased GrimAA at follow-up,while elevated baseline weight,BMI,and waist circumference might increase PCGrimAA.Higher baseline WHR was associated with increased DunedinPACE at follow-up.Conclusion:Obesity indicators correlate with DNA methylation clock acceleration metrics.Baseline obesity may influence changes in certain DNA methylation clock indicators over time,suggesting that obesity could exert long-term health effects by accelerating DNA methylation aging.However,these associations may be confounded by shared genetic or environmental factors among the twins.

Objective To analyze the epidemiological characteristics and trends of the incidence and mortality of biliary tract cancer in Shanghai from 2002 to 2020. Methods Data on new cases and deaths of malignant tumors of the gallbladder, extrahepatic bile ducts, and other biliary tract organs from 2002 to 2020 were obtained from the Population-based Cancer Registry and Vital Statistics System of Shanghai Municipal Center for Disease Control and Prevention. Cases or deaths, proportion, crude rate, age-specific rate, age-standardized rate (ASR) and others were calculated stratified by year of diagnosis or death, gender and age-group. ASRs were calculated using Segi′s 1960 world standard population. Trends of the annual percent change (APC) of ASRs, age-specific rates and proportions of new cases with selected diagnostic character of biliary tract cancer stratified by different groups were analyzed by Joinpoint analysis software. Results Annual new cases of biliary tract cancer in Shanghai increased from 963 in 2002 to 1 537 in 2020, with ASR of incidence changing from 3.91/10⁵ to 3.59/10⁵. Annual deaths increased from 830 to 1 225, with ASR of mortality decreased from 3.36/10⁵ to 2.69/10⁵. In 2020, the crude rate of incidence of biliary tract cancer was 10.43/10⁵ (9.54/10⁵ in males and 11.30/10⁵ in females) in Shanghai, and the ASR was 3.59/10⁵ (3.54/10⁵ in males and 3.61/10⁵ in females), with no statistically significant gender difference (P=0.731). The crude rate of mortality was 8.31/10⁵ (7.60/10⁵ in males and 9.00/10⁵ in females), and the ASR was 2.69/10⁵ (2.69/10⁵ in males and 2.66/10⁵ in females), also with no significant gender difference (P=0.874). Age-specific nunbers and rates of incidence and mortality generally increased with aging. Stratified by gender, the trend of ASRs of incidence of biliary tract cancer in Shanghai in males showed no significant change (P=0.179) from 2002 to 2020, nor did that of ASRs of mortality (P=0.738). In females, the ASRs of incidence decreased at an average annual rate of 1.58% (P<0.001), while the trend of ASRs of mortality showed no significant change from 2002 to 2011 (P=0.774), but ASRs decreased at an average annual rate of 3.72% from 2011 to 2020 (P<0.001). Among new cases, the proportions of morphological verification increased, while the proportions of imaging verification decreased. The gallbladder was the most common site, but its proportions decreased significantly, whereas the proportions of extrahepatic bile duct increased from 25.75% to 42.88%. Over 60% of cases were unknown stage at diagnosis, while the combined proportions of stages Ⅰ-Ⅲ remained less than that of stage Ⅳ. Conclusions The ASRs for incidence and mortality of biliary tract cancer in Shanghai remain relatively high, with distinct epidemiological characteristics. The improvement in the diagnosis and treatment of biliary diseases maybe have impact on the incidence patterns of biliary tract cancer in Shanghai, but the effect on increasing survival rates and reducing mortality rates is relatively lagging. It needs a big progress to advance the screening, diagnosis, and survival of biliary tract cancer in Shanghai. This study provides a foundation for further research and prevention strategies for biliary tract cancer.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

[Purpose]To analyze the incidence and mortality of colorectal cancer in Zhejiang can-cer registration areas in 2021 and its temporal trends from 2000 to 2021.[Methods]Data from 22 cancer registries in Zhejiang Province in 2021 that met the quality standards were included.The crude incidence/mortality rate,age-standardized incidence/mortality rates by Chinese standard population(ASIRC/ASMRC)and by world standard population(ASIRW/ASMRW),and cumulative incidence(mortality)rate for 0～74 years old were calculated.Trends from 2000 to 2021 were ana-lyzed using the Joinpoint regression model by calculating the annual percentage change(APC)and average annual percentage change(AAPC).[Results]In 2021,the number of new colorectal cancer cases in Zhejiang cancer registration areas was 12 265,with 4 323 deaths.ASIRC and ASMRC were significantly higher in men(32.74/105 and 10.11/105)than those in women(20.78/105 and 5.99/105).Urban areas showed higher ASIRC and ASMRC(28.27/105 and 8.06/105)than rural areas(24.12/105 and 7.85/105).The age-specific incidence and mortality rates of colorectal cancer in Zhejiang Province showed an increasing trend with age,with a peak of 219.63/105 in the age group of 80～84 years old.The age-specific mortality rate peaked in the age group of 85 years old and above,with a peak of 199.65/105.From 2000 to 2021,ASIRC in Zhejiang Province showed an upward trend(AAPC=2.23％,P＜0.001),ASMRC showed a marginal increase(AAPC=0.78％,P=0.067).[Conclusion]The incidence of colorectal cancer in Zhejiang Province had been on a continuous rise in the past 22 years,and health education and early screening should be empha-sized.

Objective:To investigate the incidence, risk factors, and outcomes of falls among the elderly community population in Beijing.Methods:A cross-sectional survey was conducted using stratified multistage random sampling to select urban and rural residents aged 65 years and older in Beijing. Mortality data was collected after the baseline survey for 5 years. The incidence of falls was weighted based on the composition ratios of age and gender from the 2010 Nation-wide Population Census of Beijing. A logistic regression model was used to analyze the impacts of demographic sociology of common chronic diseases on fall occurrence. The Cox proportional hazards regression model was used to analyze the fall and 5-year survival association.Results:A total of 2 968 participants completed the questionnaire, at cross-sectional survey, with an average age of (73.2±6.0) years, and 1 581 (53.8%) participants were female. Three hundred and sixty-one individuals experienced a fall within the past year. Among those who fell, 64 (17.7%) fell twice, and 95 (26.6%) fell three or more times. Of them, 14.4% (52) had post-fall fractures, with the wrist, knee, and hip being the most common fracture sites, accounting for 25.0%, 17.3%, and 15.4%, respectively. The weighted fall incidence was 12.4% (95% CI: 11.2%-13.5%). Aging, being female, and living in rural areas were more likely to fall. Logistic regression analysis showed that after adjusting for age, gender, and urban-rural status, the risk of falls for those living alone ( OR=1.48, 95% CI: 1.08-2.04) or living with children/grandchildren ( OR=1.51, 95% CI: 1.15-1.97) were significantly higher than those living with their spouse. In addition, the risk of falls was elevated significantly among the elderly with hypertension, diabetes, stroke, dementia, depression status, urinary incontinence, arthritis, insomnia, vision, and hearing loss, dependence on activities of daily living (ADL), general and poor self-rated health (SRH). The Cox proportional hazard regression model revealed that the 5-year risk of death increased by 65% ( HR=1.65, 95% CI: 1.29-2.11) for those who experienced a fall, which increased with fall frequency. This elevated risk persisted after adjusting for chronic conditions, ADL, and SRH. Conclusions:Ageing, female, living in rural regions, having common chronic diseases, dependence on ADL, general and poor SRH, living alone or living with children/grandchildren were associated with the elevated fall risk. The occurrence of fall was seasonal. The most common short-term adverse consequence after a fall was fractures, while the long-term effect was an increased risk of death.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

Objective To explore the risk factors for healthcare-associated infection(HAI)in lung transplant re-cipients(LTRs),and construct a predictive nomogram model.Methods Clinical data of patients who underwent lung transplant in Wuxi People's Hospital from January 2019 to December 2023 were analyzed retrospectively.The patients were divided into a training set(n=506)and a validation set(n=218).Independent risk factors were screened through LASSO regression,and multivariate logistic regression was included to construct a nomogram pre-diction model.The discrimination,calibration,and clinical applicability of the model were evaluated using receiver operating characteristic(ROC)curves,Hosmer-Lemeshow goodness-of-fit,and decision curves.Results Among the 506 LTRs,201 developed HAIs,with an incidence of 39.72％.The major infection site was lower respiratory tract,and the major pathogen were Gram-negative bacilli(Acinetobacter baumannii).Older age,use of extracorpo-real membrane oxygenation(ECMO),double-lung transplant,surgery duration＞3 hours,long duration of contin-uous fever,frequent abnormal blood routine examination,and long duration of combined use of antimicrobial agents were identified as independent risk factors for HAI after lung transplant.The ROC curve analysis results showed that the areas under the curve(AUCs)of the training set and the validation set were 0.74(95％CI:0.70-0.78)and 0.71(95％CI:0.64-0.78),respectively.The Hosmer-Lemeshow test results showed that there was no sta-tistically significant difference between the predictive and actual probability of HAI(P＞0.05).The clinical decision curve results indicated that the model had clinical benefits at a threshold probability value of 7％-71％.Conclusion The nomogram prediction model constructed in this study can effectively evaluate the risk of postoperative infection in LTRs.The model is stable and has high clinical application value,providing scientific reference for postoperative infection prevention and control.

Objective To discuss the factors influencing the occurrence of frailty in patients with acute myocardial infarction(AMI)after receiving interventional treatment,and to construct a prediction model,to draw a nomogram,and to make the validation of the model.Methods Using convenient sampling method,a total of 462 patients with AMI,who were admitted to the Department of Cardiovascular Medicine of three Grade Ⅲ-A hospitals in Shandong Province of China from July 2023 to January 2024,were selected as the study subjects.Among them,324 AMI patients encountered from July 2023 to November 2023 were selected as modeling group,and logistic regression was used to construct a risk prediction model and draw a nomogram to visualize the model.The remaining 138 AMI patients encountered from December 2023 to January 2024 were used as the validation group.The receiver operating characteristic(ROC)curve and Hosmer-Lemeshow testing were adopted to verify the predictive effect of the model.Results Of 324 patients in the modeling group,170(52.47％)developed frailty.Univariate analysis showed that significant differences in age,education level,body mass index(BMI),Charlson comorbidity index,grip strength,walking speed,brain natriuretic peptide precursor level,physical exercise,multiple medication,and kinesophobia existed between the two groups(all P＜0.05).Multivariate logistic regression analysis revealed that age,BMI,Charlson comorbidity index,grip strength,walking speed,NT-ProBNP precursor level,physical exercise,multiple medication,and kinesophobia were the influencing factors of frailty in patients with AMI after receiving interventional treatment,with an OR value of 1.061,0.630,1.529,0.931,0.005,0.358,1.783,2.929,and 0.497 respectively.The above nine factors were used as independent variables to draw the nomogram,the area under ROC curve of the model was 0.851(95％CI:0.809-0.892),the optimal critical value was 0.562,the sensitivity was 84.1％,and the specificity was 72.1％.Hosmer-Lemeshow goodness of fit testing showed that the model had anx2=12.957 and P=0.113.Conclusion The frailty condition of AMI patients after receiving interventional treatment is at a low to medium levels.The frailty risk prediction model constructed in this study has good prediction effect,which can provide guidance for clinical nurses to timely identify high-risk patients and to promptly adopt interventional measures.