ABSTRACT
In recent years， with the change in life style， social environment， and national childbearing policy， the proportion of high-risk pregnant women has increased significantly， triggering the spectrum of obstetric diseases to constantly change， which has brought new challenges to the diagnosis and treatment of obstetrics. Traditional Chinese medicine （TCM） has been proved effective in dealing with a variety of obstetric diseases， and various treatment methods are available， which can serve as alternative means for solving refractory obstetric diseases. However， most obstetric clinicians are currently less aware of the therapeutic effects of TCM， which has significantly hindered its participation in clinical treatment. Therefore， the China Association of Chinese Medicine （CACM） organized the outstanding young obstetricians of TCM and western medicine to discuss 15 obstetric diseases responding specifically to TCM or integrated TCM and western medicine， including hyperemesis gravidarum， threatened abortion， ectopic gestation， cough during pregnancy， pregnancy-induced hypertension syndrome， maternal-fetal ABO incompatibility， postpartum hypogalactia， residual pregnancy tissue in uterine cavity， puerperal infection， pantalgia after childbirth， hematoma/undesirable healing after caesarean section， postpartum urinary retention， ileus after cesarean section， pelvic floor dysfunction， and postnatal depression. The suggestions for their treatment with TCM or integrated TCM and western medicine were also proposed， aiming to provide patients with effective and personalized treatments in clinical practice and improve the diagnosis and treatment effects of obstetric diseases， thus benefiting the public. At the same time， more obstetrical clinicians are expected to understand the therapeutic effects and advantages of TCM and draw on the strengths of both TCM and western， thereby promoting the establishment of an obstetric diagnosis and treatment system with Chinese characteristics.
ABSTRACT
BACKGROUND@#We aimed to describe and analyze the pre-hospital emergency medical service (EMS) in Beijing and provide information for the government and medical institutions to optimize EMS.@*METHODS@#We collected all pre-hospital emergency data in Beijing from 2008 to 2017. The chief complaint in each case was classified according to the Medical Priority Dispatch System (MPDS). The sites' administrative districts were determined through geo-encoding of addresses and then classified into four functional regions. We analyzed the demand for EMS, emergency response times (ERT), and disease spectrum for Beijing as a whole, and for each functional region.@*RESULTS@#A total of 4,192,870 pre-hospital EMS cases met the inclusion criteria, with a significant increase (P < 0.001) of 51.60% from 2008 to 2017. EMS demand was positively associated with population (r = 0.946, P < 0.001). The pre-hospital EMS demand rate was 1907.05 in 2008 and 2172.23 in 2017 per 100,000, with no significant change (P = 0.57). ERT increased significantly (P = 0.001), from 19.18 min in 2008 to 24.51 min in 2016. According to MPDS classifications, the demand for pre-hospital care increased for 14 diseases, remained stable for 19, and decreased for only 1 disease. Cases of injury-related disease increased significantly from approximately 90,000 in 2017, accounting for 20% of all pre-hospital EMS cases, and the demand rate decreased in the core region but increased in the sub-urban regions. Cases of heart problems and stroke/transient ischemic attack also increased significantly in the four functional regions, with the highest demand rate in the Core Functional Region.@*CONCLUSIONS@#More resources and effort should be devoted to pre-hospital EMS according to the increased pre-hospital EMS demand and prolonged ERT in Beijing over our 10-year study period. Changes in disease spectrum and differences between functional regions should also be considered.
ABSTRACT
OBJECTIVE@#To explore the predictive value of carotid femoral artery pulse wave velocity (CF-PWV), carotid radial artery pulse wave velocity (CR-PWV), cardio-ankle vascular index (CAVI), and ankle brachial index (ABI) on coronary heart disease (CHD) and cerebral infarction (CI), and the preliminary validation of Beijing vascular health stratification (BVHS).@*METHODS@#Subjects with at least 2 in-patient records were included into the study between 2010 and 2017 from Vascular Medicine Center of Peking University Shougang Hospital. Subjects with CHD or CI, and without data of vascular function at baseline were excluded. Eventually, 467 subjects free of CHD [cohort 1, mean age: (63.4±12.3) years, female 42.2%] and 658 subjects free of CI [cohort 2, mean age: (64.3±12.2) years, female 48.7%] at baseline were included. The first in-patient records were as the baseline data, the second in-patient records were as a following-up data. Cox proportional hazard regression was used to establish the predictive models of CHD or CI derived from BVHS by multivariable-adjusted analysis.@*RESULTS@#The median follow-up time of cohort 1 and cohort 2 was 1.9 years and 2.1 years, respectively. During the follow-up, 164 first CHD events occurred in cohort 1 and 117 first CI events occurred in cohort 2. Four indicators were assessed as continuous variables simultaneously by multivariable-adjusted analysis. In cohort 1, CF-PWV, CR-PWV, ABI, and CAVI reached statistical significance in the multivariable-adjusted models (P<0.05). In cohort 2, only CAVI (P<0.05) was of statistical significance. In addition, the higher CF-PWV became a protector of CHD or CI (P<0.05). The prediction value of BVHS reached the statistical significance for CHD and CI in the unadjusted models (all P<0.05), however, BVHS could only predict the incidence of CHD (P<0.05), but not the incidence of CI (P>0.05) in the multivariable-adjusted models. CF-PWV, CR-PWV, ABI, and CAVI were associated factors of CHD independent of each other (P<0.05), only CAVI (P<0.05) was the risk factor of CI independent of the other three.@*CONCLUSION@#The different vascular indicators might have different effect on CHD or CI. CAVI might be a stable predictor of both CHD and CI. Higher baseline CF-PWV was not necessarily a risk factor of CHD or CI because of proper vascular health management. BVHS was a potential factor for the prediction of CHD, and further research is needed to explore the prediction value for CI.