Objective To find and select stable and specific identification indexes in chest CT images,to establish mathematical models and provide a systematic and scientific identification method.Methods Medical imaging analysis and processing technology were applied to compare the image indexes such as lung apical shadow,double lung texture,trachea,sternum,thoracic morphology,liver,spleen,interlobular fissure morphology,first rib,aorta and thoracic vertebrae morphology of 600 serial chest CT scans of of the same adults at different periods and 600 scans of different adults.Consistency test(Kappa analysis)was applied to determine the consistency of different identification indexes,and to screen out the image identification indexes that were not easily affected by subjective factors and had high consistency;the cumulative exclusion probability method was applied to calculate the combined identification ability of the observation indexes,and select optimal indexes to establish the identification index system.Results Five indexes-left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side demonstrated high consistency across age groups and minimal subjective interference.A combination of any three indexes achieved＞99.99％discrimination probability for homologous versus non-homologous sources identification.Conclusion The independent or combined use of the indexes of left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side enables individual identification in adult chest CT under different imaging conditions.

Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.

Objective To find and select stable and specific identification indexes in chest CT images,to establish mathematical models and provide a systematic and scientific identification method.Methods Medical imaging analysis and processing technology were applied to compare the image indexes such as lung apical shadow,double lung texture,trachea,sternum,thoracic morphology,liver,spleen,interlobular fissure morphology,first rib,aorta and thoracic vertebrae morphology of 600 serial chest CT scans of of the same adults at different periods and 600 scans of different adults.Consistency test(Kappa analysis)was applied to determine the consistency of different identification indexes,and to screen out the image identification indexes that were not easily affected by subjective factors and had high consistency;the cumulative exclusion probability method was applied to calculate the combined identification ability of the observation indexes,and select optimal indexes to establish the identification index system.Results Five indexes-left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side demonstrated high consistency across age groups and minimal subjective interference.A combination of any three indexes achieved＞99.99％discrimination probability for homologous versus non-homologous sources identification.Conclusion The independent or combined use of the indexes of left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side enables individual identification in adult chest CT under different imaging conditions.

Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.

Background: Cardiopulmonary resuscitation (CPR) strategies in COVID-19 patients differ from those in patients suffering from cardiogenic cardiac arrest. During CPR, both healthcare and non-healthcare workers who provide resuscitation are at risk of infection. The Working Group for Expert Consensus on Prevention and Cardiopulmonary Resuscitation for Cardiac Arrest in COVID-19 has developed this Chinese Expert Consensus to guide clinical practice of CPR in COVID-19 patients. Main recommendations: 1) A medical team should be assigned to evaluate severe and critical COVID-19 for early monitoring of cardiac-arrest warning signs. 2) Psychological counseling and treatment are highly recommended, since sympathetic and vagal abnormalities induced by psychological stress from the COVID-19 pandemic can induce cardiac arrest. 3) Healthcare workers should wear personal protective equipment (PPE). 4) Mouth-to-mouth ventilation should be avoided on patients suspected of having or diagnosed with COVID-19. 5) Hands-only chest compression and mechanical chest compression are recommended. 6) Tracheal-intubation procedures should be optimized and tracheal-intubation strategies should be implemented early. 7) CPR should be provided for 20-30 min. 8) Various factors should be taken into consideration such as the interests of patients and family members, ethics, transmission risks, and laws and regulations governing infectious disease control. Changes in management: The following changes or modifications to CPR strategy in COVID-19 patients are proposed: 1) Healthcare workers should wear PPE. 2) Hands-only chest compression and mechanical chest compression can be implemented to reduce or avoid the spread of viruses by aerosols. 3) Both the benefits to patients and the risk of infection should be considered. 4) Hhealthcare workers should be fully aware of and trained in CPR strategies and procedures specifically for patients with COVID-19.

Objective:To investigate the prevalence of estimated glomerular filtration (eGFR) and risk factors among middle-aged and elderly residents in Beijing.Methods:In August-December of 2017, 6 549 residents aged 45-79 years old were randomly selected in the study by stratified multi-stage cluster sampling method. The investigation was performed by questionnaire, physical examination and laboratory tests. The contents of questionnaire included the demographic characteristic and prevalence of chronic disease. Blood pressure was tested. Fasting venous blood was collected to test the level of total cholesterol (TC), high density lipoprotein cholesterol (HLDL), low density lipoprotein cholesterol (LDL), triglyceride (TG), fasting blood-glucose (FBG), blood creatinine (Cr) and serum uric acid (UA). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was used to estimate GFR(eGFR). The decreased GFR was defined as eGFR less than 60 ml/min per 1.73 m 2. The statistical software SPSS 20.0 was used for analysis. The general linear model, test of independence of rows and columns, logistic regression for complex samples were generalized. The weighted mean and weighted rate were analyzed. Results:The average level of eGFR was (100.51±0.54) ml/min per 1.73 m 2. The rate of decreased GFR was 1.28%, and it showed a higher rate in subjects aged 70-79 years-old, living in urban area, with history of cardiovascular disease, hypertension, diabetes mellitus, hyperuricemia (4.53%, 1.57%, 2.90%, 2.27%, 2.12% and 4.62%; F=30.827, 10.588, 11.466, 34.693, 6.788,51.643, all P<0.05) . Logistic regression analysis of complex sampling showed that 70-79 years old ( OR=4.435, 95 %CI:2.402-8.191), living in urban area ( OR=3.145, 95 %CI: 1.540-6.420), hypertension ( OR=4.663, 95 %CI:2.177-9.988), hyperuricemia ( OR=6.751, 95 %CI:3.363-13.553) were associated with decreased GFR (all P<0.05). Conclusion:The prevalence of the decreased eGFR among middle-aged and elderly residents in Beijing is higher than the average level in the eastern part of China. Hypertension, hyperuricemia, the old age and living in urban are risk factors of decreased GFR.

Objective:To understand the awareness of smoking hazards and intention of smoking concession in residents aged 18-65 years in Beijing, and provide scientific evidence for the development and improvement of tobacco control policies and measures.Methods:Data were collected from the 2017 Beijing Non-communicable and Chronic Disease surveillance. A multi-stage stratified cluster sampling method was used to take samples from 165 communities in 16 districts of Beijing. Logistic regression was used to analyze the influencing factors.Results:Among 11 594 participants, 49.93% had no intention of smoking concession. The percentage of refusing smoking concession was higher in men (50.39%) than in women (43.01%), the difference was significant ( χ2=14.211, P=0.002), and higher in suburban residents (56.78%) than in urban residents (45.30%), the difference was significant ( χ2=51.977, P<0.001). For the smoking cessation motivation, "illness" was the reason for more former smokers (29.88%) compared with current smokers (11.50%), the difference was significant ( χ2=85.865, P<0.001). The awareness rates of smoking hazards was higher in women (34.97%) than in men (32.63%), the difference was significant ( Z=5.612, P<0.001), higher in suburban residents (35.44%) than in urban residents (33.03%), the difference was significant ( Z=-3.734, P<0.001), and higher in never smokers (35.15%) than in smokers (30.06%), the difference was significant ( χ2=62.277, P=0.005). Multiple logistic regression analysis results showed people with general awareness ( OR=0.61, 95 %CI: 0.39-0.94) and poor awareness ( OR=0.67, 95 %CI: 0.50-0.90) of smoking hazards were less likely to quit smoking and people with general awareness ( OR=0.64, 95 %CI: 0.53-0.76) and poor awareness ( OR=0.87, 95 %CI: 0.78-0.98) of smoking hazards were more likely to smoke. Conclusions:Smokers aged 18-65 in Beijing had low willingness for smoking cessation. Health problem was main consideration for smoking cessation. Never-smokers had better awareness of smoking hazards than smokers, and the awareness of smoking hazards was an influencing factor of smoking status.

Objective:To investigate the status quo of sleelated problems and relationship with dyslipidemia among adults in Beijing.Methods:From August to December 2017, 13 188 residents aged 18-79 years old were randomly selected as the subjects of this study, by stratified multi-stage cluster sampling method. Questionnaire, physical examination and laboratory testing were used in this study. The questionnaire included demographic characteristics and status quo of sleep. Height and weight were measured, with fasting venous blood collected to test the levels of TC, HDL-C, LDL-C and TG.Results:In Beijing, 52.1% of the adults involved in this study were having sleep-related problems which appeared higher in patients with dyslipidemia (55.1%) than those without (50.7%). Rates of sleep-related problems as snoring, difficult to get into sleep, waking at night, waking early and taking sleeping pills were 30.1%, 18.8%, 24.6%, 20.1% and 3.0%, respectively. The prevalence rates of high TC, high TG and high LDL-C were 7.5%, 23.5% and 6.6%, respectively among subjects with snoring and as, 5.7%, 15.5% and 4.9%, respectively among those without. The average level of TC of people easy to wake at night was 4.74 mmol/L, higher than that of those without (4.66 mmol/L). The prevalence of high TC among those waking at night was 7.5%, higher than that of those without (5.8%). After controlling potential confounding factors as age, sex, smoking, overweight and obesity, snoring was significantly positively correlated to the levels of TC, TG and LDL-C ( P<0.05) and presenting as risk factor for dyslipidemia, with OR=1.248 ( P<0.05). Conclusion:Sleep-related problems appeared serious, with snoring and waking at night the main ones among adults in Beijing. Snoring was significantly positively correlated with the levels of TC, TG and LDL-C and served an independent risk factor for dyslipidemia.