Objective To systematically analyze the spatiotemporal distribution characteristics and epidemiological trends of tracheal, bronchus, and lung cancer (TBL) disease burden attributed to air pollution globally and in China and the United States from 1990 to 2021, and to assess the patterns of disease burden changes from 2022 to 2031 based on predictive models, providing a scientific basis for formulating targeted TBL prevention and control strategies. Methods Based on the Global Burden of Disease (GBD) 2021 database, we analyzed the disease burden data of TBL attributed to air pollution globally and in China and the United States from 1990 to 2021. R Studio 4.3.2 software was used to analyze the corresponding trends and the Bayesian age-period-cohort (BAPC) prediction model was used to predict the status of the disease burden of TBL attributed to air pollution in the world and in China and the United States from 2022 to 2031. Results In 2021, China had the highest number of deaths and disability-adjusted life years attributed to air pollution (211 400 patients and 4.8947 million person-years), followed by the United States (6 000 patients and 124 300 person-years). The age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life years rate (ASDR) of TBL due to air pollution in the world and in China and the United States showed a decreasing trend. From 1990 to 2021, the ASMR and ASDR of TBL in China due to air pollution were much higher than those in the United States and the global average. In terms of gender, from 1990 to 2021, the disease burden of male patients with TBL attributed to air pollution was much higher than that of female patients. The BAPC prediction model showed that from 2022 to 2031, the ASMR and ASDR of TBL attributed to air pollution showed an upward trend globally, while they showed a downward trend in China and the United States. Conclusion Over the past 30 years, the air pollution-related TBL disease burden in the world and in China and the United States has continued to decline, but China's disease burden is still significantly higher than the global average. The disease burden in men far exceeds that in women, with men and the population aged ≥50 years being high-risk groups. In the future, the global disease trend may reverse and rise, while China and the United States are expected to continuously decline. However, precise prevention and control for high-risk groups remains a key challenge.

Objective To integrate and analyze the disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019, along with the differences between genders, and predict the trends in disease burden changes from 2020 to 2029 to improve prevention and treatment strategies. Methods The disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019 was extracted and integrated from the 2019 Global Burden of Disease (GBD) database, and the corresponding trend was analyzed using the Joinpoint regression model with Joinpoint 4.9.1.0 software. The gray prediction model [GM (1, 1) ] was used to forecast the disease burden of alcohol-related esophageal cancer in China from 2020 to 2029. Results In 2019, the leading causes of esophageal cancer in China were tobacco, alcohol, high body mass index, and insufficient fruit and vegetable intake, accounting for the first to fifth positions in esophageal cancer deaths. From a gender perspective, in 2019, the death number and standardized mortality rate for males were 18.97 times and 20.00 times higher than for females, respectively. The disability-adjusted life years (DALYs) and standardized DALYs rate for males were 33.08 times and 24.78 times higher than those for females, respectively, indicating a heavier disease burden of alcohol-related esophageal cancer among Chinese males. From 1990 to 2019, the average annual percentage change (AAPC) in deaths and DALYs due to alcohol-related esophageal cancer in China was 2.08% and 1.63%, respectively, showing a continuous upward trend with statistical significance (P<0.05). The AAPC values for standardized mortality rate and standardized DALYs rate from 1990 to 2019 were –0.92% and –1.23%, respectively, showing a continuous downward trend with statistical significance (P<0.05). The population aged ≥55 years was the main group bearing the disease burden among all age groups from 1990 to 2019. The gray prediction model predicted that by 2029, the overall standardized mortality rate and standardized DALYs rate would decrease to 2.94/100 000and 67.94/100 000, with a greater decline in females than in males. Conclusion Over the past 30 years, the disease burden of alcohol-related esophageal cancer in China has slightly decreased. However, the reduction in disease burden is still lower compared to the overall decline in esophageal cancer burden, and the disease burden for males is significantly higher than for females. Focusing on prevention and treatment for males and the elderly population remains a major issue in addressing alcohol-related esophageal cancer in China.

Objective To explore the application effect of prone position ventilation combined with veno-venous extracorporeal membrane oxygenation (VV-ECMO) in the treatment of severe primary graft dysfunction (PGD) after lung transplantation. Methods The clinical data of 75 lung transplant recipients who developed severe PGD after lung transplantation and were treated with VV-ECMO from January 2021 to June 2024 at Wuxi People's Hospital Affiliated to Nanjing Medical University were collected. The patients with severe graft dysfunction after lung transplantation were divided into VV-ECMO group (control group, 45 cases) and prone position ventilation combined with VV-ECMO group (treatment group, 30 cases). The general data of the two groups of patients were compared, including the donors' clinical data (age, gender and oxygenation index, etc) and the recipients' clinical data [gender, age and body mass index (BMI), etc]. Cox regression analysis was used to analyze the influencing factors of the recipients' 30-day, 90-day and 180-day survival after surgery. The survival curves of the two groups of recipients were drawn using Kaplan-Meier method and compared using the log-rank test. Results The intensive care unit (ICU) stay time, ECMO application time and ventilator use time of control group were longer than those of treatment group. The proportion of male recipients and the BMI of control group were lower than those of treatment group. The 30-day, 90-day and 180-day survival of control group was worse than that of treatment group, and the differences were statistically significant (all P<0.05). The univariate Cox regression analysis of the recipients' 30-day survival after surgery showed that the recipients' BMI, history of diabetes, enlargement of the right atrium and right ventricle, intraoperative blood transfusion volume and intraoperative red blood cell transfusion volume were statistically significant (all P<0.05). The multivariate Cox regression analysis showed that the history of diabetes and enlargement of the right atrium and right ventricle were risk factors affecting the 30-day survival of lung transplant recipients (all P<0.05). The univariate Cox regression analysis of the recipients' 90-day survival after surgery showed that the recipients' BMI, history of diabetes, enlargement of the right atrium and right ventricle, intraoperative blood transfusion volume, intraoperative red blood cell transfusion volume and group variable were statistically significant (all P<0.05). The multivariate Cox regression analysis showed that the history of diabetes, enlargement of the right atrium and right ventricle and group variable were risk factors affecting the 90-day survival of lung transplant recipients (all P<0.05). The univariate Cox regression analysis of the recipients' 180-day survival after surgery showed that the recipients' BMI, history of diabetes, right atrium and right ventricle enlargement, intraoperative blood transfusion volume, intraoperative red blood cell transfusion volume and group variable were statistically significant (all P<0.05). The multivariate Cox regression analysis showed that the history of diabetes, enlargement of the right atrium and right ventricle and group variable were risk factors affecting the 180-day survival of lung transplant recipients (all P<0.05). The 30-day, 90-day and 180-day survival rates of control group were lower, and the differences between the two groups were statistically significant (all P<0.05), with a median survival time of 100 days in control group. Conclusions In the clinical treatment of severe PGD after lung transplantation, prone position ventilation combined with VV-ECMO may shorten ECMO application time, invasive ventilation time and ICU stay time, and improve the short-term prognosis of lung transplantation.

Objective To observe the value of clinical and CT radiomics features for predicting microsatellite instability-high(MSI-H)status of gastric cancer.Methods Totally 150 gastric cancer patients including 30 cases of MSI-H positive and 120 cases of MSI-H negative were enrolled and divided into training set(n=105)or validation set(n=45)at the ratio of 7∶3.Based on abdominal vein phase enhanced CT images,lesions radiomics features were extracted and screened,and radiomics scores(Radscore)was calculated.Clinical data and Radscores were compared between MSI-H positive and negative patients in training set and validation set.Based on clinical factors and Radscores being significant different between MSI-H positive and negative ones,clinical model,CT radiomics model and clinical-CT radiomics combination model were constructed,and their predictive value for MSI-H status of gastric cancer were observed.Results Significant differences of tumor location and Radscore were found between MSI-H positive and negative patients in both training and validation sets(all P＜0.05).The area under the curve(AUC)of clinical model,CT radiomics model and combination model for evaluating MSI-H status of gastric cancer in training set was 0.760,0.799 and 0.864,respectively,of that in validation set was 0.735,0.812 and 0.849,respectively.AUC of clinical-CT radiomics combination model was greater than that of the other 2 single models(all P＜0.05).Conclusion Clinical-CT radiomics combination model based on tumor location and Radscore could effectively predict MSI-H status of gastric cancer.

Objective:To study the biological traits and mutations of the influenza A (H3N2) virus in order to produce a vaccine and offer references for controlling and preventing influenza epidemics.Methods:Four strains of the influenza A(H3N2) virus were chosen from the Huai′an surveillance network laboratory. Nucleic acid extraction, library building, and sequencing (CridION x5 MKI Nanopore) were used to produce the whole-genome sequences. Using homologous alignments of whole-genome sequences, phylogenetic tree construction, and amino acid variant screening, bioinformatics analysis was carried out.Results:The nucleotide identity between 8 gene segments ranged from 97.1% to 100.0%. The gene that differed the most from the reference sequences was HA (97.1%-99.9%), and the gene that differed the least was MP (98.6%-99.9%). The HA gene (3.06%) and MP gene (1.43%) were the regions with the greatest and lowest frequencies of nucleotide site change, respectively. The rates of nucleotide change varied significantly between the genes ( χ2=14.293, P=0.046). Four influenza A(H3N2) virus strains′ whole-genome phylogenies from each of the eight gene segments maintained a roughly consistent topological structure. One strain was linked to the 3C.2a1b.1b clade, which was lost at the 142NWT, 149NGT(HA1), and 436NLS(NA). Three strains were linked to the 3C.2a1b.2a.1a clade lineage. Amantadine and NA inhibitors were effective against all Huai′an strains. Conclusions:The antigenicity of one strain of Huai'an strain changed and its matching with the vaccine strain of that year was low. It is suggested that the genetic surveillance of H3N2 influenza virus should be continuously strengthened to provide scientific basis for influenza prevention and control and influenza vaccine screening.

Objectives:To analyze the disease burden and changing trends of non-rheumatic valvular heart disease(NRVHD)from 1990 to 2019 in China. Methods:Based on the Global Burden of Disease 2019 database,we collected data related to NRVHD in China from 1990 to 2019,analyzed the crude incidence rate,crude prevalence rate,crude disability-adjusted life year(DALY),and age-scaled rate of NRVHD during this period,and analyzed the corresponding trends.The grey prediction model GM(1,1)was used to predict the disease burden of NRVHD in China from 2020 to 2029. Results:The crude incidence,crude prevalence,and crude DALY rates of NRVHD increased in China from 7.87/100 000,123.21/100 000,and 9.83/100 000 in 1990 to 22.85/100 000,374.16/100 000,and 11.95/100 000 in 2019;the age-standardized incidence rate and the age-standardized prevalence rate increased from 9.22/100 000 and 169.04/100 000 in 1990 to 15.30/100000 and 262.85/100 000 in 2019 respectively,with females being higher than males;the age-standardized DALY rate declined from 13.43/100 000 in 1990 to 9.07/100 000 in 2019,with females being higher than males.Joinpoint regression model analysis showed an increasing trend in the age-standardized incidence rate and age-standardized prevalence rate,and a decreasing trend in the age-standardized DALY rate(annual average percentage change[AAPC]values of 1.86%,1.72%and-1.66%,respectively),trend of change was statistically significant(all P<0.05).The burden of disease for all age groups from 1990 to 2019 showed an overall increasing trend,and the crude incidence rate,crude prevalence rate and crude DALY rate all increased with age,and the elderly group over 60 years old was the main group of disease burden.The results of the grey prediction model showed that by 2029,the age-standardized incidence rate and age-standardized prevalence rate would increase to 18.51/100 000 and 303.26/100 000,respectively,and the age-standardized DALY rate would decrease to 7.42/100 000. Conclusions:From 1990 to 2019,the age-standardized incidence rate and age-standardized prevalence rate of NRVHD in China showed an increasing trend,and the age-standardized DALY rate all showed a decreasing trend.The disease burden of NRVHD in China remains high.Women and the senior population are the main target groups needing special attention in China,and more targeted prevention and treatment strategies are needed for high-risk population.

ObjectiveAntibiotic resistance genes （ARGs） have received wide attention all over the world. The purpose of this study was to explore the bacterial community structure， the types and levels of antibiotic resistance genes in a water body in east China， and to compare and analyze the characteristics of microbial species distribution and antibiotic resistance gene distribution in various water environments. MethodsA total of 10 households in Haimen City， Jiangsu Province were selected and their surrounding water environment samples were collected. 21 water samples including river water （4）， Mingou water （9） and well water （8） were collected for metagenomics sequencing， assembled with MetaWRAP， annotated with CARD database， and analyzed with R software. ResultsIn various water bodies， the dominant bacteria phyla was Proteobacteria， the dominant bacteria genera were Deuterostomia， Pseudomonas， Flavobacteriales and Streptomycetaceae. The ARGs annotated were mainly composed of quinolones， aminoglycosides， macrolides and beta-lactams antibiotic resistance genes. The top four relative abundance of resistance genes were macB， RanA， evgS and TxR， The average absolute abundance and expression of resistance genes in well water and Mingou water were higher than those in river water. ConclusionMultiple ARGs are detected to varying degrees in well water， river water， and Mingou water bodies， and the expression of resistance genes in well water and Mingou water bodies is higher than that in river water bodies， possibly due to human production and living activities.

Objective To evaluate the effect of body mass index (BMI) on early prognosis of the recipients after lung transplantation. Methods Clinical data of 307 lung transplant recipients were retrospectively analyzed. According to preoperative BMI, all recipients were divided into the low (BMI <18.5 kg/m², n=114), normal (18.5 kg/m²≤BMI <24 kg/m², n=145) and high (BMI≥24.0 kg/m², n=48) BMI groups, respectively. Baseline data including age, sex, blood type, BMI, preoperative complications, preoperative pulmonary hypertension, and intraoperative use of extracorporeal membrane oxygenation (ECMO) of all recipients were compared among three groups. The survival rate of all recipients was estimated by Kaplan-Meier curve and the survival curve was delineated. The differences of survival rate were analyzed by log-rank test. The 30-, 90- and 180-d mortality risk of all recipients after lung transplantation in different BMI groups was compared by multivariate Cox regression analysis. Results There were significant differences in age and sex of recipients among three groups (both P<0.05). There was a significant difference regarding the 180-d survival rate after lung transplantation among different BMI groups (P<0.05). Multivariate Cox regression analysis showed that the 90-d mortality risk after lung transplantation in the high BMI group was 2.295 times higher than that in the normal BMI group [hazard ratio (HR) 2.295, 95% confidence interval (CI) 1.064-4.947, P=0.034]. In the high BMI group, the 180-d mortality risk after lung transplantation was 2.783 times higher compared with that in the normal BMI group (HR 2.783, 95%CI 1.333-5.810, P=0.006), and the 180-d mortality risk in the low BMI group was 2.181 times higher than that in the normal BMI group (HR 2.181, 95%CI 1.124-4.232, P=0.021). Conclusions Compared with the recipients with normal BMI, their counterparts with high and low preoperative BMI have higher mortality risk early after lung transplantation. Adjusting preoperative BMI to normal range contributes to improving early prognosis of lung transplant recipients.

ObjectiveTo discover and analyze single or several correlative key amino acid sites that influence the host tropism during the influenza A virus （IAV） infection based on complete internal protein gene segments of IAV strains， and to provide evidence for the study of human host-adaptive mutations of IAV. MethodsThe full-length nucleotide sequences of 43 671 IAV strains containing 6 complete internal gene segments were downloaded from the GISAID EpiFlu^TM database， and 698 human-tropic （HU） and 1 266 avian-tropic （AV） representative strains were included. The consensus coding sequences of the representative strains from the amphitropic category were compared by R script， and the differential amino acid sites and their polymorphisms were then obtained. The multi-site combination analysis of differential sites was conducted with R script. ResultsA total of 49 and 57 conserved differential sites were obtained from the consensus sequence comparison between AV and H1N1 （subtype from HU）， and comparison between AV and H3N2 （another subtype from HU）， separately. 79 and 65 multi-site combinations were found between HU and AV strains through 3 and 4 sites combination analysis， respectively， and a total of 11 conserved sites were involved： site 271 and 684 in PB2； site 336， 486， 581 and 621 in PB1； site 204 and 356 in PA； site 33， 305 and 357 in NP. No eligible differential sites were found in M1 and NS1. ConclusionSeveral conserved amino acid differential sites， between HU and AV strains of IAV， are found in PB2， PB1， PA and NP proteins. Instead of working as single units， these sites may have interactions， forming specific amino acid combinations that determine the host tropism of IAV collectively.

In 2019, the rate of primary tooth caries rate among 1 598 preschool children in Shinan District and Shibei District of Qingdao was 59.4%. The multivariate logistic regression model showed that compared with children ≤ 2 years old with history of iron deficiency anemia (IDA), suffering IDA, breastfeeding to 2 years old and no tooth melanin, children ≤ 2 years old without history of IDA, not suffering IDA, breastfeeding to less than 2 years old and heavy tooth melanin had a lower risk of primary tooth caries, with OR ( 95%CI) values about 0.328 (0.197-0.549), 0.354 (0.208-0.603), 0.636 (0.437-0.926) and 0.301 (0.143-0.635), respectively.