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Influenza and pneumococcal vaccination coverage and associated factors in patients hospitalized with acute exacerbations of COPD in China:Findings from real-world data

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Chinese Medical Journal 2024年第10期137卷 1179-1189页

作者： Ruoxi He Xiaoxia Ren Ke Huang Jieping Lei Hongtao Niu Wei Li Fen Dong Baicun Li Ye Wang Ting Yang Chen Wang School of Population medicine and Public Health Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China department of respiratory medicine National Key Clinical SpecialtyBranch of National Clinical Research Center for Respiratory DiseaseXiangya HospitalCentral South UniversityChangshaHunan 410008China department of Pulmonary and Critical Care medicine Center of Respiratory MedicineChina-Japan Friendship HospitalBeijing 100029China Institute of respiratory medicine Chinese Academy of Medical SciencesBeijing 100029China National Center for respiratory medicine Beijing 100029China National clinical Research Center for respiratory Diseases Beijing 100029China department of clinical Research and Data Management Center of Respiratory MedicineChina-Japan Friendship HospitalBeijing 100029China

Background:Influenza and pneumococcal vaccination are a priority in patients with chronic obstructive pulmonary disease(COPD).However,limited information is available on vaccination coverage among patients with acute exacerbations of COPD(AECOPD)in *** study aimed to determine the rates and associated factors of influenza and pneumococcal vaccination in patients hospitalized with ***:Baseline data from a national,multicenter,hospital-based study that included adult inpatients with AECOPD between 2017 and 2021 were *** outcomes of interest were the influenza vaccination in the past year and the pneumococcal vaccination in the past 5 *** ensure national representativeness,rates were weighted according to the distribution of hospital levels and types enrolled in this *** Poisson regression based on mixed-effects models were used to determine the associated *** independent variables included the region and hospital features where the participants were located,sociodemographic characteristics(age,sex,rural/urban residence,education,etc.),and clinical indicators(COPD disease history,lung function parameters,comorbidities,etc.).The treatment profiles of the vaccinated and unvaccinated participants were ***:Of 6949 eligible participants,the weighted rates of influenza/pneumococcal,influenza,and pneumococcal vaccination were 2.72%(95%confidence interval[CI]:2.34%-3.10%),2.09%(95%CI:1.76%-2.43%),and 1.25%(95%CI:0.99%-1.51%),*** multivariable models,age≥60 years(60-69 years,odds ratio[OR]:1.90,95%CI:1.11-3.25;≥80 years,OR:2.00,95%CI:1.06-3.78),geographical regions(Northern China relative to Eastern China,OR:5.09,95%CI:1.96-13.21),urban residence(OR:1.69,95%CI:1.07-2.66),a higher education level(junior high school,OR:1.77,95%CI:1.21-2.58;senior high school or above,OR:2.61,95%CI:1.69-4.03),former smoking(OR:1.79,95%CI:1.15-2.79),and regular inhaled medication treatment(OR:3.28,95%CI:2.29-4.70)were

关键词： Chronic obstructive pulmonary disease Influenza Pneumococcal Vaccine AECOPD

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Aryl hydrocarbon receptor:Linking environment to aging process in elderly patients with asthma

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Chinese Medical Journal 2024年第4期137卷 382-393页

作者： Tianrui Yang Rongjun Wan Wei Tu Sai Nithin Avvaru Peisong Gao Division of Allergy and clinical immunology Department of MedicineJohns Hopkins University School of MedicineBaltimoreMD 21224USA department of Geriatric medicine The First People’s Hospital of Yunnan ProvinceKunmingYunnan 650032China department of respiratory medicine Xiangya HospitalCentral South UniversityChangshaHunan 410008China The State Key Laboratory of respiratory Disease for Allergy Shenzhen Key Laboratory of Allergy and ImmunologyShenzhen University School of MedicineShenzhenGuangdong 518055China

Aging is a significant risk factor for various diseases,including asthma,and it often leads to poorer clinical outcomes,particularly in elderly *** is recognized that age-related diseases are due to a time-dependent accumulation of cellular damage,resulting in a progressive decline in cellular and physiological functions and an increased susceptibility to chronic *** effects of aging affect not only the elderly but also those of younger ages,posing significant challenges to global ***,understanding the molecular mechanisms associated with aging in different diseases is *** intriguing factor is the aryl hydrocarbon receptor(AhR),which serves as a cytoplasmic receptor and ligand-activated transcription factor and has been linked to the aging ***,we review the literature on several major hallmarks of aging,including mitochondrial dysfunction,cellular senescence,autophagy,mitophagy,epigenetic alterations,and microbiome ***,we provide an overview of the impact of AhR on these hallmarks by mediating responses to environmental exposures,particularly in relation to the immune ***,we explore how aging hallmarks affect clinical characteristics,inflammatory features,exacerbations,and the treatment of *** is suggested that AhR signaling may potentially play a role in regulating asthma phenotypes in elderly populations as part of the aging process.

关键词： Aging Environment Reactive oxygen species Senescence Aryl hydrocarbon receptor Asthma

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Real-World Treatment Adherence to Smoking Cessation Medications and Association with Treatment Outcome—27 Centers,China,2017–2022

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China CDC weekly 2024年第22期6卷 522-529,I0001-I0003页

作者： Anqi Cheng Zhao Liu Xinmei Zhou Zheng Su Dan Xiao Chen Wang the China National Tobacco Cessation Cohort Study(CNTCCS)Study Group department of Tobacco Control and Prevention of respiratory Disease Center of Respiratory MedicineChina-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory MedicineChinese Academy of Medical SciencesBeijingChina department of Pulmonary and Critical Care medicine Center of Respiratory MedicineChina-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/China National Center for Respiratory Medicine/China National Clinical Research Center for Respiratory DiseasesBeijingChina Chinese Academy of Medical Sciences and Peking Union Medical College BeijingChina 不详

What is already known about this topic?Medication non-adherence significantly impedes smoking cessation *** effective smoking cessation medications are accessible in China,realworld adherence and its correlation with treatment outcomes remain largely *** is added by this report?From December 2017 to January 2022,1,120 participants were recruited from 27 centers in all seven geographical regions of *** revealed that only 38.2%of smokers adhered to the prescribed 12-week smoking cessation treatment and those with a higher education level were more likely to be *** addition,smokers with good adherence were more likely to successfully quit *** are the implications for public health practice?The data obtained could enhance our understanding of smoking cessation practices in *** adherence is a crucial strategy to enhance the effectiveness of smoking cessation treatments and management provided to smokers.

关键词： China. smoke likely

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A machine learning model for diagnosing acute pulmonary embolism and comparison with Wells score,revised Geneva score,and Years algorithm

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Chinese Medical Journal 2024年第6期137卷 676-682页

作者： Linfeng Xi Han Kang Mei Deng Wenqing Xu Feiya Xu Qian Gao Wanmu Xie Rongguo Zhang Min Liu Zhenguo Zhai Chen Wang Capital Medical University Beijing 100069China National Center for respiratory medicine State Key Laboratory of Respiratory Health and MultimorbidityNational Clinical Research Center for Respiratory DiseasesInstitute of Respiratory MedicineChinese Academy of Medical SciencesDepartment of Pulmonary and Critical Care MedicineCenter of Respiratory MedicineChina-Japan Friendship HospitalBeijing 100029China Institute of Advanced Research Infervision Medical Technology Co.Ltd.Beijing 100025China department of Radiology China-Japan Friendship HospitalBeijing 100029China Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100730China department of Radiology Peking University China-Japan Friendship School of Clinical MedicineBeijing 100191China

Background:Acute pulmonary embolism(APE)is a fatal cardiovascular disease,yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs.A simple,objective technique will help clinicians make a quick and precise *** population studies,machine learning(ML)plays a critical role in characterizing cardiovascular risks,predicting outcomes,and identifying *** work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment ***:This is a single-center retrospective *** with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets.A total of 8 ML models,including random forest(RF),Naïve Bayes,decision tree,K-nearest neighbors,logistic regression,multi-layer perceptron,support vector machine,and gradient boosting decision tree were developed based on the training set to diagnose ***,the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies,including the Wells score,revised Geneva score,and Years ***,the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic(ROC)***:The ML models were constructed using eight clinical features,including D-dimer,cardiac troponin T(cTNT),arterial oxygen saturation,heart rate,chest pain,lower limb pain,hemoptysis,and chronic heart *** eight ML models,the RF model achieved the best performance with the highest area under the curve(AUC)(AUC=0.774).Compared to the current clinical assessment strategies,the RF model outperformed the Wells score(P=0.030)and was not inferior to any other clinical probability assessment *** AUC of the RF model for diagnosing APE onset in internal validation set was ***:Based on RF algorithm,a novel prediction model was finally constructed for AP

关键词： Acute pulmonary embolism Machine learning Wells score Revised Geneva score Years algorithm

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PD-L1-driven efficient enrichment and elimination of circulating cancer cells by magnetic MoSe_(2) nanosheet

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Nano Research 2024年第5期17卷 4350-4358页

作者： Hongjie Huang Binhua Zou Shanlin Zhu Xingchen Zhang Jiale Huang Jinlin Wang Xiaoling Li Tianfeng Chen The Sixth Affiliated Hospital Jinan UniversityDongguan 523566China department of Chemistry Institute of Food Safety and NutritionJinan UniversityGuangzhou 510632China department of Rehabilitation medicine Nanfang HospitalSouthern Medical UniversityGuangzhou 510515China Pulmonary and Critical Care medicine Guangzhou Institute of Respiratory HealthNational Clinical Research Center for Respiratory DiseaseNational Center for Respiratory MedicineState Key Laboratory of Respiratory DiseasesThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510120China

Circulating tumor cells(CTCs)are important biomarkers in the development and progression of lung cancer because they can reach other organs through the blood circulation and form distant metastases,exacerbating lung cancer *** presence of CTCs is also the main reason for the failure of nanomedicine-based lung cancer ***,magnetic MoSe_(2) nanosheets loaded with programmed death-ligand 1(PD-L1),named PD-L1-MFP NS,were employed here to precisely capture lung cancer CTCs in the blood circulation through the tumor-targeting effect of PD-L1 killing CTCs with highly effective photothermal therapy(PTT).In addition,by increasing the expression of cytomegalovirus UL16-binding protein(ULBP)ligands on tumor cells,the PD-L1-MFP NS further activated natural killer(NK)cells and triggered NK cell-induced cancer immunotherapy,thereby enhancing the overall tumor-killing *** summary,this material designed to capture CTCs provides a substantial advancement for personalized PTT-triggered immunotherapy and has great clinical translational potential.

关键词： circulating tumor cells selenide photothermal therapy(PTT) natural killer(NK)cell immunotherapy

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EGFR-mutant non-small cell lung cancer patients harboring CDK4 amplification show favorable response to afatinib:Two case reports

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Chinese Medical Journal 2024年第12期137卷 1465-1467页

作者： Shuting Zhan Bo Cheng Xiwen Liu Jianfu Li Ge Bai Qi Cai Huiting Wang Yang Xiang Chunyan Li Jianxing He Wenhua Liang department of Thoracic Surgery and Oncology The First Affiliated Hospital of Guangzhou Medical University&Guangzhou Institute of Respiratory HealthState Key Laboratory of Respiratory Disease&National Clinical Research Center for Respiratory DiseaseGuangzhouGuangdong 510120China National Center for respiratory medicine State Key Laboratory of Respiratory DiseaseNational Clinical Research Center for Respiratory DiseasesGuangzhou Institute of Respiratory Health&The First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong 510120China Southern Medical University GuangzhouGuangdong 510120China department of respiratory and Critical Care medicine The Tenth Affiliated Hospital of Southern Medical UniversityDongguanGuangdong 523108China

To the Editor:Epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs)show significant efficacy in patients with advanced-stage non-small cell lung cancer(NSCLC)with sensitive EGFR mutations and significantly prolong the survival of these ***,drug resistance emerges in most *** studies indicated that cyclin-dependent kinase 4/6(CDK4/6)gene amplification was one of the resistance mechanisms of the EGFR-TKI osimertinib,weakening its *** options for EGFR-mutant NSCLC patients with CDK4 amplification are limited to add CDK4 inhibitors.

关键词： CDK4 NSCLC EGFR

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Utilizing EMR Data for Smoking Behavior Surveillance in Hospitalized Patients With Chronic respiratory Diseases and Its Impact on clinical Outcomes—Beijing Municipality,China,2014–2023

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China CDC weekly 2024年第22期6卷 530-534页

作者： Jiachen Li Jian Su Zhaohui Tong Lirong Liang department of clinical Epidemiology Beijing Institute of Respiratory Medicine and Beijing Chao-Yang HospitalCapital Medical UniversityBeijingChina School of Economics Peking UniversityBeijingChina department of respiratory and Critical Care medicine Beijing Institute of Respiratory Medicine and Beijing Chao-Yang HospitalCapital Medical UniversityBeijingChina

What is already known on this topic?Smoking is the primary risk factor for a poor prognosis in chronic respiratory disease(CRD).Current tobacco surveillance efforts in China focus on the general population and do not adequately cover CRD *** is added by this report?We employed electronic medical records(EMR)to track smoking habits in 28,334 hospitalized CRD patients at Beijing Chao-Yang *** rates of former and current smokers were 30.7%and 18.0%,*** former and current smokers exhibited an increased risk of respiratory symptoms and extended hospital *** are the implications for public health practice?These results underscore the importance of implementing smoking monitoring and targeted cessation interventions for hospitalized patients with CRDs.

关键词： respiratory prognosis smoke

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Bronchoalveolar lavage fluid assessment facilitates precision medicine for lung cancer

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Cancer Biology & medicine 2024年第3期21卷 230-251页

作者： Hantao Zhang Dan Deng Shujun Li Jing Ren Wei Huang Dan Liu Weiya Wang department of Pathology West China HospitalSichuan UniversityChengdu 610000China West China Biobank West China HospitalSichuan UniversityChengdu 610000China department of respiratory and Critical Care medicine Clinical Research Center for Respiratory DiseaseWest China HospitalSichuan UniversityChengdu 610000China

Lung cancer is the most common and fatal malignant disease worldwide and has the highest mortality rate among tumor-related causes of *** diagnosis and precision medicine can significantly improve the survival rate and prognosis of lung cancer *** present,the clinical diagnosis of lung cancer is challenging due to a lack of effective non-invasive detection methods and biomarkers,and treatment is primarily hindered by drug resistance and high tumor *** biopsy is a method for detecting circulating biomarkers in the blood and other body fluids containing genetic information from primary tumor *** lavage fluid(BALF)is a potential liquid biopsy medium that is rich in a variety of bioactive substances and cell *** contains information on the key characteristics of tumors,including the tumor subtype,gene mutation type,and tumor environment,thus BALF may be used as a diagnostic supplement to lung *** this review,the current research on BALF in the diagnosis,treatment,and prognosis of lung cancer is *** advantages and disadvantages of different components of BALF,including cells,cell-free DNA,extracellular vesicles,and micro RNA are *** particular,the great potential of extracellular vesicles in precision diagnosis and detection of drug-resistant for lung cancer is *** addition,the performance of liquid biopsies with different body fluid sources in lung cancer detection are compared to facilitate more selective studies involving BALF,thereby promoting the application of BALF for precision medicine in lung cancer patients in the future.

关键词： Lung cancer bronchoalveolar lavage fluid extracellular vesicles liquid biopsy precision medicine

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UniBind:a novel artificial intelligence-based prediction model for SARS-CoV-2 infectivity and variant evolution

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Signal Transduction and Targeted Therapy 2024年第1期9卷 14-15页

作者： Qihong Yan Jincun Zhao State Key Laboratory of respiratory Disease National Clinical Research Center for Respiratory DiseaseGuangzhou Institute of Respiratory Healththe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouChina

In a recent study published in Nature medicine,Wang et *** an excellent framework called UniBind based on artificial intelligence(AI),which enables accurately predicting infectivity of SARS-CoV-2 variants and evolutionary trends of future viral variants.1 This computational method holds the possibility to not only serve as a valuable early-warning tool for monitoring potential pathogenic SARS-CoV-2 variants but also facilitate fundamental research on protein-protein interactions(PPIs).

关键词： artificial Bind prediction

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Heparin-binding protein as a predictor of mortality in patients with diabetes mellitus and community-acquired pneumonia in intensive care unit:a propensity score matched study

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World Journal of Emergency medicine 2024年第4期15卷 263-272页

作者： Yuhan Sun Baoqing Sun Zhigang Ren Mingshan Xue Changju Zhu Qi Liu Translational medicine Center Department of Emergency Medicinethe First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China State Key Laboratory of respiratory Disease National Clinical Research Center for Respiratory DiseaseGuangzhou Institute of Respiratory Healththe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510230China department of Infectious Disease the First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Henan Medical Key Laboratory of Emergency and Trauma Research Department of Emergency Medicinethe First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China

BACKGROUND:Patients with diabetes mellitus(DM)are vulnerable to community-acquired pneumonia(CAP),which have a high mortality *** aimed to investigate the value of heparin-binding protein(HBP)as a prognostic marker of mortality in patients with DM and ***:This retrospective study included CAP patients who were tested for HBP at intensive care unit(ICU)admission from January 2019 to April *** were allocated to the DM or non-DM group and paired with propensity score *** characteristics and clinical outcomes up to 90 days were *** primary outcome was the 10-day *** operating characteristic(ROC)curves,Kaplan-Meier analysis,and Cox regression were used for statistical ***:Among 152 enrolled patients,60 pairs were successfully *** was no significant difference in 10-day mortality,while more patients in the DM group died within 28 d(P=0.024)and 90 d(P=0.008).In the DM group,HBP levels at ICU admission were higher in 10-day non-survivors than in 10-day survivors(median 182.21[IQR:55.43-300]ng/ml *** 66.40[IQR:34.13-107.85]ng/mL,P=0.019),and HBP levels could predict the 10-day mortality with an area under the ROC curve of *** cut-off value,sensitivity,and specificity were 160.6 ng/mL,66.7%,and 90.2%,*** Cox regression analysis indicated that HBP was an independent prognostic factor for 10-day(HR 7.196,95%CI:1.596-32.455,P=0.01),28-day(HR 4.381,95%CI:1.449-13.245,P=0.009),and 90-day mortality(HR 4.581,95%CI:1.637-12.819,P=0.004)in patients with ***:Plasma HBP at ICU admission was associated with the 10-day,28-day,and 90-day mortality,and might be a prognostic factor in patients with DM and CAP.

关键词： Community-acquired pneumonia Diabetes mellitus Heparin-binding protein Propensity score match

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