Objective:To understand the research progress and quality of lung cancer screening guidelines and consensus in China and abroad, and to provide reference for the formulation of high-quality lung cancer screening guidelines in China.Methods:Databases including PubMed, Medline, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, SinoMed, VIP and Wanfang Data were searched, websites and important references were also searched by hand retrieval. The Appraisal of Guidelines for Research & Evaluation Ⅱ(AGREE Ⅱ) and Reporting Items for Practice Guidelines in Healthcare (RIGHT) were used to assess the quality of newly published or updated guidelines and consensus.Results:A total of 9 guidelines and consensus published between 2015 and 2020 were included in this study, with countries including the United States, China, Canada, Saudi Arabia and South Africa. The field of scope and purpose and clarity of presentation scored relatively high but the rigor of development and applicability scored low. Five guidelines were judged to be A-level, all of which were published abroad, and the remaining four were B-level, including three guidelines and consensus issued by China and 1 guideline issued by South Africa. The report rate of RIGHT were higher in basic information and background, lower in review and quality assurance, funding and declaration and management of interests. There were 5 guidelines with a good level and 4 guidelines and consensus with a moderate level. The best overall quality guidelines were those published by the American College of Chest Physicians in 2018 and by the Canadian Task Force on Preventive Health Care in 2016.Conclusions:The number of countries and institutions that issue lung cancer screening guidelines and consensus had been increasing gradually, but the quality in China remained low. It is necessary to develop high-quality lung cancer screening guidelines suitable for China's national conditions in combination with evidence-based methods to guide practice.

Objective:To understand the mental health status of pregnant women in the third trimester of pregnancy, and explore the influencing factors.Methods:The general demographic information and pregnancy information of 575 pregnant women in the Chinese Pregnant Women Cohort Study were collected. The mental health status of pregnant women in the third trimester was investigated by using Edinburgh Postpartum Depression Scale, Self-Rating Anxiety Scale and University of California at Los Angeles. Multivariate unconditional logistic regression was used to analyze the influencing factors for mental health of pregnant women.Results:In the third trimester of pregnancy, the incidence of depression was 16.52%, the incidence of anxiety was 11.13%, and the incidence of feeling loneliness was 26.26%. Logistic regression analysis showed that compared with those with education level of junior high school below, those with education level of college or bachelor's degree ( OR=0.418, 95% CI: 0.184-0.950) and master's degree or above ( OR=0.116, 95% CI: 0.027-0.503) were less likely to feel loneliness. Pregnant women with higher annual family income (10 000 RMB yuan) were less likely to suffer from depression (≥20 vs. <10: OR=0.527, 95% CI: 0.279-0.998), anxiety (10-20 vs. <10: OR=0.363, 95% CI: 0.180-0.731; ≥20 vs. <10: OR=0.271, 95% CI: 0.132-0.554) and feeling loneliness (≥20 vs. <10: OR=0.477, 95% CI: 0.276-0.826). Conclusions:The education level and family income have impacts on the mental health status of pregnant women in the third trimester. Medical staff should give targeted psychological advice to pregnant women to improve their mental health status.

Data standard plays an important role in the process of data collection, Integration and sharing in clinical cohort studies, and more attention have been paid to it. This paper summarizes the 5 international proven data standard model, analyze their characteristics and development status, and match their data modules with the general data set of the clinical cohorts to evaluate the international data standard models' applicability and provide reference for the development and improvement of the data standard model for clinical cohort studies in China.

Objective To understand the status of economic burden of maternal health care of pregnant women in China, and to discuss the equity and accessibility of maternal health care during pregnancy among different regions and populations. Methods A total of 9 193 women during early pregnancy were recruited from the Chinese Pregnant Women Cohort Study between July 25, 2017 and November 26, 2018. Information on general condition and economic burden of maternal health care was surveyed. SPSS 25.0 software was used for statistical analysis. Results The median direct medical cost of maternity check-ups for pregnant women was 400 CNY per visit, and the median cost of lost work was 360 CNY per visit. The analysis of the results showed that the median medical expense was highest in pre-pregnant women with BMI <18.5kg/m² (P=0.008). The median medical expense was higher in urban residents than rural residents (P<0.001). Families with fewer members had higher direct medical expenses (P<0.001, P_trend=0.003). The higher the socioeconomic status was, the higher the direct medical expense was (P<0.001, P_trend=0.003). The cost of lost work was lower in pregnant women with higher socioeconomic status (P=0.025, P_trend=0.017). In addition, the medical expense was highest in women living in the eastern part of China (P<0.001). The direct medical expenses (P=0.002) and lost-time expenses of pregnant women in the North were higher than those in the South (P=0.013). Conclusion The problem of equity and accessibility of maternal health care still existed. It is recommended that relevant departments further improve maternal health care services and build a diversified healthcare service system to ensure maternal and child health and promote eugenics.

Objective To analyze the prevalence of depression in early pregnancy, explore its possible influencing factors, and provide reference for mental health care during pregnancy. Methods A baseline survey of 9 193 early pregnant women recruited by the Chinese Pregnant Women Cohort Study (CPWCS) program was conducted. Edinburgh Postnatal Depression Scale was used to assess the depression symptoms in early pregnancy. The χ² test and multivariable logistic regression were used to analyze the influencing factors. Results The rate of depression in early pregnant women in CPWCS was 46.50%. Multivariate analysis showed that unplanned pregnancy (OR=1.23, 95%CI: 1.12~1.35, P<0.001), passive smoking (OR=1.28, 95%CI: 1.18~1.39, P<0.001), drinking (OR=1.35, 95%CI: 1.12~1.63, P=0.002) and consumption of carbonated or sugary beverages （OR=0.80, 95%CI: 0.73~0.88, P<0.001） were risk factors for depression during early pregnancy, while enough sleep (OR=0.71, 95%CI: 0.57~0.88, P=0.002), moderate-high level of physical activity (OR=0.87, 95%CI: 0.78~0.98, P=0.023), healthy intake of vegetables and fruits（OR=0.60, 95%CI: 0.51~0.70, P<0.001), animal foods（OR=0.82, 95%CI: 0.74~0.91, P<0.001） and milk and dairy products（OR=0.81, 95%CI: 0.72~0.90, P<0.001）were protective factors. Conclusion The rate of depression was high and it was affected by many factors. It is necessary to pay more attention to depression symptoms during early pregnancy and carry out targeted psychological health care during pregnancy.

Objective:To retrospectively analyze the experience of our center in the use of marginal donor heart, and to explore the principle of use and risk control of marginal donor heart.Methods:A total of 31 patients with end-stage heart disease underwent orthotopic heart transplantation in our center from January 2018 to December 2018, including 28 cases of pure heart transplantation, 2 cases of combined heart-lung transplantation, and 1 case of combined heart-kidney transplantation. 26 of the 31 cases were marginal donor hearts. These patients were all anastomosed by a double lumen method.Results:The rates of postoperative use of ECMO, IABP and acute rejection were zero in this study. The time of cardiopulmonary bypass in the marginal donor group was significantly longer compared with the conventional donor group( P<0.05), but there was no significant difference between the two groups in terms of hospitalization time, mechanical ventilation time, ICU stay time, abnormal rate of ECG, LVEF and blood biochemical indexes(all P>0.05). The postoperative follow-up rate was 100% in the two groups. One case of combined heart-lung transplantation in the marginal donor group died of multiple organ failure in the first month after surgery. During the postoperative follow-up period, the incidence of moderate to severe tricuspid regurgitation and the incidence of recurrent heart failure were zero in the two groups. There was no significant difference in the incidence of arrhythmia, LVEF, infection and blood biochemical parameters. Conclusion:The application of marginal donor heart has no significant effect on the short-term survival rate and recovery of patients after heart transplantation, but the long-term effect needs further follow-up.

Under the limitation of cross-sectional studies, more researchers are turning their attention to maternal and child cohort studies. However, some problems do exist in the traditional maternal and child cohort studies, if data is only gathered from the hospitals. The limitation would include the contents of research and the high rate of loss to follow-up. With the integration of different medical traits and the progress in big data, the development of maternal and child related cohorts, with characteristics of dynamic follow-up and data sharing, through combining the information and health service systems of different institutions, seem in urgent need. This paper aims to provide some basic achievements in conducting maternal and child cohorts that can serve the related health problems through full-life cycle, and provide new references on conducting cohort studies, aiming at special population or diseases.

Objective:To investigate sleep quality in pregnant women during their first and second trimester and to identify risk factors.Methods:Data was from the Chinese Pregnant Women Cohort Study. A total of 3 618 pregnant women were included, with the exclusion 346 women who had missing information. Sociodemographic, health-related behavior, depression and sleep quality information were collected and analyzed. Logistic regression analysis were used to explore the influencing factors of sleep quality in pregnant women.Results:Among the 3 618 pregnant woman 28.2% had poor sleep quality in their first trimester and 28.7% in the second trimester. 15.2% pregnant women had progressively worse sleep and 13.0% had persistently poor sleep had pregnant women were generally suffered from poor sleep quality, difficulty falling asleep, sleep disorders and daily fatigue. Regular diet ( OR=0.75, 95% CI: 0.62-0.92) and work ( OR=0.84,95% CI: 0.71-0.99) in the first trimester were protective factors of sleep quality in pregnant women. Age ≥30 year old ( OR=1.19, 95% CI: 1.03-1.37), passive smoking ( OR=1.18, 95% CI: 1.02-1.36) and depression ( OR=2.25, 95% CI: 1.95-2.61) in the first trimester were risk factors. Conclusions:The rate of poor sleep quality are high among Chinese pregnant woman during their first and second trimester. The risk factors of sleep quality are multiple. Regular diet and work, reduction of tobacco exposure, alleviation of depression symptom may help improve sleep quality among pregnant women.

Objective:To investigate the effect of changes in physical activities on depressive symptoms in the second trimester of pregnancy.Methods:Data from the Chinese Pregnant Women Cohort Study, from July 25, 2017 to November 26, 2018, were used. Women who had effectively completed the survey of physical activity and depressive symptoms in the first and second trimesters of pregnancy, were recruited. Both International Physical Activity Questionnaire-short and Edinburgh Postnatal Depression Scale were used, respectively. Pregnant women who had completed two surveys were included in our study and were divided into two groups according to the depressive symptoms, measured at the baseline. Among the pregnant women without depressive symptoms at the baseline, logistic regression was used to analyze the effects of changes in physical activity on the prevention of depressive symptoms. Effect on the reduction of depressive symptoms was analyzed, using the same method.Results:The prevalence rates of depressive symptoms were 23.83 % and 20.57 % in the baseline and second trimester, respectively. After adjusting for age, education level, occupation, family annual income and pre-pregnancy BMI, data from the logistic regression showed that women without depressive symptoms and with increased and adequate physical activities in the baseline, were with lower risks to develop depressive symptoms in the second trimester ( OR=0.479, 95 %CI: 0.335-0.684; OR=0.566, 95 %CI: 0.394-0.815). Among women with depressive symptoms in the baseline survey, association between physical activity and depressive symptoms was not statistically significant ( P>0.05). Conclusions:Increased and adequate physical activities showed preventive effects on depressive symptoms during pregnancy, but the remission effect was not obvious in women with depressive symptoms. Pregnant women should be encouraged to increase their physical activities while screening programs should also be carried out to reduce the depressive symptoms during pregnancy.

Objective:To prospectively explore the associations between total and different types of physical activities and gestational diabetes mellitus (GDM) in the first trimester of pregnant women, in Beijing.Methods:Data of 909 participants from the Chinese Pregnant Women Cohort study were extracted and studied. Four types of physical activities, including household/care-giving, occupational, sports/exercise and outdoor ways of transportation (walking/cycling/E-biking) in early pregnancy were studied by using the pregnancy physical activity questionnaire (PPAQ). All the participants were followed up and related data on GDM collected. Logistic regressions were conducted for data analysis on the associations of interests.Results:A total of 206 pregnant women (22.7 %) were diagnosed with GDM. After adjusting for age, pre-pregnancy BMI, family history of diabetes and other types of physical activities, results from the logistic regression showed that women with moderate level of household/care-giving activities were with the lower odds on GDM ( OR=0.654, 95 %CI: 0.436-0.980). Women who had met the guideline of exercise were less likely to have GDM ( OR=0.518, 95 %CI: 0.287-0.934). There was no significant association appeared between total physical, occupational and outdoor ways of transportation (walking/cycling/E-biking) activities with GDM. Conclusions:Sports/exercise and household/care-giving activities in early pregnancy appeared important on GDM prevention. Pregnant women are encouraged to wisely arranging their sports/exercise activities and engaging in moderate household/care-giving activities in the first trimester of pregnancy, to prevent GDM.