As a traditional nutritional and healthy cash crop in China, tea has certain significance in promoting human health and preventing and controlling chronic diseases. Studies have shown that the nutritional health effect of tea is due to its rich functional components, mainly including tea polyphenols, tea pigments, tea polysaccharides, theanine, alkaloids and other bioactive substances. At present, researchers from the academic circles have continuously carried out animal and human experiments on the health effects of various functional components of tea, which has accumulated abundant research data and materials. Based on this, this article reviews the literature on the nutritional and health effects of the main functional components of tea, and adopts the method of evidence-based research to screen and extract relevant data for qualitative and quantitative meta-analysis. Subsequently, the nutritional health effects of the five functional components of tea, namely tea polyphenols, tea pigments, tea polysaccharides, theanine, and alkaloids, are summarized and outlined. Studies have shown that tea polyphenols, tea pigments, tea polysaccharides, theanine and alkaloids have different health effects and are expected to play their unique roles in promoting human health and preventing and controlling diseases.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

BACKGROUND: Severe liver disease (SLD), including cirrhosis and liver cancer, constitutes a major disease burden in China. We aimed to examine the association of genetic and healthy lifestyle factors with the incidence and prognosis of SLD. METHODS: The study population included 504,009 participants from the prospective China Kadoorie Biobank aged 30-79 years. The individuals were from 10 diverse areas in China without a history of cancer or liver disease at baseline. Cox regression was used to estimate adjusted hazard ratios (HRs) for incident SLD and death after SLD diagnosis associated with healthy lifestyle factors (smoking, alcohol, physical activity, and central adiposity). Additionally, the contribution of genetic risk for hepatitis B virus (HBV, assessed by genetic variants in major histocompatibility complex, class II, DP/DQ [ HLA - DP / DQ ] genes) was also estimated. RESULTS: Compared with those with 0-1 healthy lifestyle factor, participants with 2, 3, and 4 factors had 12% (HR 0.88 [95% confidence interval [CI] 0.85, 0.92]), 26% (HR 0.74 [95%CI: 0.69, 0.79]), and 44% (HR 0.56 [95%CI: 0.48, 0.65]) lower risks of SLD, respectively. Inverse associations were observed among participants with both low and high genetic risks (HR per 1-point increase 0.83 [95%CI: 0.74, 0.94] and 0.91 [95%CI: 0.82, 1.02], respectively; Pinteraction = 0.51), although with a non-significant trend among those with a high genetic risk. Inverse associations were also observed between healthy lifestyle factors and liver biomarkers regardless of the genetic risk. Despite the limited power, healthy lifestyle factors were associated with a lower risk of death after incident SLD among participants with a low genetic risk (HR 0.59 [95%CI: 0.37, 0.96]). CONCLUSIONS Lifestyle modification may be beneficial in terms of lowering the risk of SLD regardless of the genetic risk. Moreover, it is also important for improving the prognosis of SLD in individuals with a low genetic risk. Future studies are warranted to examine the impact of healthy lifestyles on SLD prognosis, particularly among individuals with a high genetic risk.
Humans ; Prospective Studies ; Incidence ; East Asian People ; Healthy Lifestyle ; Risk Factors ; Liver Neoplasms ; Prognosis ; China/epidemiology*

BACKGROUND: Several studies have reported that polygenic risk scores (PRSs) can enhance risk prediction of coronary artery disease (CAD) in European populations. However, research on this topic is far from sufficient in non-European countries, including China. We aimed to evaluate the potential of PRS for predicting CAD for primary prevention in the Chinese population. METHODS: Participants with genome-wide genotypic data from the China Kadoorie Biobank were divided into training ( n = 28,490) and testing sets ( n = 72,150). Ten previously developed PRSs were evaluated, and new ones were developed using clumping and thresholding or LDpred method. The PRS showing the strongest association with CAD in the training set was selected to further evaluate its effects on improving the traditional CAD risk-prediction model in the testing set. Genetic risk was computed by summing the product of the weights and allele dosages across genome-wide single-nucleotide polymorphisms. Prediction of the 10-year first CAD events was assessed using hazard ratios (HRs) and measures of model discrimination, calibration, and net reclassification improvement (NRI). Hard CAD (nonfatal I21-I23 and fatal I20-I25) and soft CAD (all fatal or nonfatal I20-I25) were analyzed separately. RESULTS: In the testing set, 1214 hard and 7201 soft CAD cases were documented during a mean follow-up of 11.2 years. The HR per standard deviation of the optimal PRS was 1.26 (95% CI:1.19-1.33) for hard CAD. Based on a traditional CAD risk prediction model containing only non-laboratory-based information, the addition of PRS for hard CAD increased Harrell's C index by 0.001 (-0.001 to 0.003) in women and 0.003 (0.001 to 0.005) in men. Among the different high-risk thresholds ranging from 1% to 10%, the highest categorical NRI was 3.2% (95% CI: 0.4-6.0%) at a high-risk threshold of 10.0% in women. The association of the PRS with soft CAD was much weaker than with hard CAD, leading to minimal or no improvement in the soft CAD model. CONCLUSIONS In this Chinese population sample, the current PRSs minimally changed risk discrimination and offered little improvement in risk stratification for soft CAD. Therefore, this may not be suitable for promoting genetic screening in the general Chinese population to improve CAD risk prediction.
Male ; Humans ; Female ; Coronary Artery Disease/genetics* ; Biological Specimen Banks ; East Asian People ; Risk Assessment/methods* ; Genetic Predisposition to Disease/genetics* ; Risk Factors ; Genome-Wide Association Study

BACKGROUND: Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults. METHODS: We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality. RESULTS: Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 - 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 - 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 - 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 - 1.37) with every additional disease. CONCLUSION Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults.
Aged ; Arthritis, Rheumatoid ; Asians ; China/epidemiology* ; Humans ; Hypertension ; Middle Aged ; Multimorbidity

Objective:To investigate the association between serum thyroid level and prognosis of critically ill children with euthyroid sick syndrome(ESS).Methods:The clinical data and serum thyroid hormone levels of 176 children with ESS who were admitted to the Department of Pediatric Intensive Care Medicine at West China Second Hospital of Sichuan University from January 2015 to April 2021 were retrospectively collected.According to the prognosis, the children were divided into improved group and invalid group, as well as basic disease group and non basic disease group, and the differences of thyroid hormone between two groups were compared.The pediatric risk of mortality Ⅲ(PRISMⅢ) scores within 24 hours of admission were assessed, and the correlation between thyroid hormone level and PRISMⅢ score was analyzed.Results:Among 176 critically ill children with ESS, the most common diseases were sepsis(31.8%), severe pneumonia (23.8%) and heart failure(10.7%), respectively.The levels of free T3(FT3), T3, free T4(FT4) and T4 in invalid group were significantly lower than those in improved group ( P<0.05), but there was no statistical difference in thyroid-stimulating hormone(TSH) level between two groups( P>0.05). The levels of FT3, T3, FT4 and T4 were negatively correlated with PRISMⅢ score( r=-0.419, -0.459, -0.341, -0.383, respectively, P<0.05), and there was no correlation between TSH level and PRISMⅢ score ( P>0.05). The common underlying diseases of severe children with ESS were malnutrition(31/98), heart disease(30/98), hematologic neoplasms(15/98), and bronchopulmonary dysplasia(10/98). The median age of children in basic disease group was younger than that in non-basic disease group(0.7 years old vs. 2.0 years old, P<0.05); The proportion of children with underlying diseases in invalid group was 24.5%, which was significantly higher than that of children without underlying diseases (6.4%), and the difference was statistically significant ( P<0.05); There were no significant differences in the levels of FT3, T3, FT4, T4 and TSH between two groups ( P>0.05). Conclusion:In critically ill children, a variety of diseases can lead to ESS, and sepsis is the most common disease.Young children with underlying diseases should be more alert to ESS.The more severe the disease, the greater the decline of FT3, T3, FT4 and T4 levels.When low T3, T4 and TSH occur simultaneously, the prognosis of the children may be worse.Thyroid hormone level could be used as an indicator to evaluate the prognosis of critically ill children, which is needed further studies to explore.

Objective:To investigate the predictive value of circulating miR-143 and miR-182 for the short-term clinical outcomes in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to Danzhou People's Hospital from January 2018 to June 2020 were included prospectively. The modified Rankin Scale was used to evaluate the short-term clinical outcome at 14 d after onset or at discharge. 0-2 was defined as good outcome, and >2 was defined as poor outcome. Multivariate logistic regression analysis was used to identify the independent risk factors for poor short-term clinical outcomes in patients with AIS. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of miR-143 and miR-182 for the short-term clinical outcomes in patients with AIS. Results:A total of 158 patients with AIS, aged 65.80±12.36 years, were enrolled, including 105 males (66.46%), 95 patients with good outcome (60.1%) and 63 with poor outcome (39.9%). The age, total cholesterol, triglyceride, low-density lipoprotein cholesterol, baseline National Institutes of Health Stroke Scale (NIHSS) score, serum miR-143 and miR-182 level in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.984, 95% confidence interval [ CI] 1.315-3.617; P=0.036), low-density lipoprotein cholesterol ( OR 2.108, 95% CI 1.406-4.103; P=0.013), baseline NIHSS score ( OR 2.584, 95% CI 1.675-4.505; P=0.005), miR-143 ( OR 3.205, 95% CI 2.370-6.180; P<0.001) and miR-182 ( OR 2.802, 95% CI 1.905-5.516; P<0.001) were the independent risk factors for poor outcomes in patients with AIS. ROC curve analysis showed that the combined area under the curve of miR-143 and miR-182 to predict the poor outcome in patients with AIS was 0.935 (95% CI 0.873-0.992), the sensitivity and specificity were 96.5% and 87.0% respectively. Conclusions:The increase of serum miR-143 and miR-182 was closely associated with the poor short-term outcomes in patients with AIS. The combination of the two has a good predictive value for the poor short-term outcomes in patients with AIS.

Objective:To investigate the predicting value of serum miR-195 and miR-599 for the outcome of patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to Danzhou People's Hospital from January 2018 to July 2020 were enrolled prospectively. The modified Rankin Scale was used to evaluate the outcome of patients at 14 d after onset or when they were discharged from the hospital. A score of 0-2 was defined as a good outcome and a score of >2 were defined as a poor outcome. Multivariate logistic regression analysis was used to determine the independent risk factors for poor outcome of patients with AIS. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive value of serum miR-195 and miR-599 for the poor outcome of patients with AIS. Results:A total of 158 patients with AIS were enrolled. Their age was (65.80±12.36) years old, 105 were males (66.46); 95 patients (60.1%) had a good outcome, and 63 patients (39.9%) had a poor outcome. The age, total cholesterol, triglycerides, low-density lipoprotein cholesterol, baseline National Institutes of Health Stroke Scale (NIHSS) score, serum miR-195 and miR-599 levels in the poor outcome group were significantly higher than those of the good outcome group ( P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.984, 95% confidence interval [ CI] 1.315-3.617; P=0.036), low-density lipoprotein cholesterol ( OR 2.108, 95% CI 1.406-4.103; P=0.013), baseline NIHSS score ( OR 2.584, 95% CI 1.675-4.505; P=0.005), serum miR-195 ( OR 3.927, 95% CI 2.615-8.227; P<0.001) and miR-599 ( OR 2.952, 95% CI 1.973-6.114; P<0.001) were the independent risk factors for the poor outcome of patients with AIS. ROC curve analysis showed that the area under the curve (0.938, 95% CI 0.882-0.997) of serum miR-195 combined with miR-599 for predicting poor outcome was significantly higher than that predicted alone, and its predictive sensitivity and specificity were 97.0% and 87.4% respectively. Conclusions:The higher levels of serum miR-195 and miR-599 are associated with the poor outcome of patients with AIS. The combination of the both had good predictive value for the poor outcome of patients with AIS.

Objective To investigate the effects of particle size, wind speed and dumping velocity on aerosol concentration distribution during powder dumping in a reprocessing plant. Methods CeO₂ powder was selected as the substitute material of PuO₂. FLUENT software was used to calculate the pouring process of CeO₂ powder under different operation conditions. Then the aerosol concentration distribution under different dumping speeds was measured by particle size spectrometer to verify the accuracy of simulation results. Results The particles with small particle size are more likely to be separated from the mainstream area by the drag force of the surrounding gas, and the radius of the diffusion range also increases with the decrease of the particle size. 2) When the ventilation speed is less than 1 m/s, the dust lifting can be reduced and the concentration of dust particles in the chamber can be reduced to a certain extent. 3) In the process of powder dumping, the spoon is rotated anticlockwise at a speed of 100° in 2～3 s, and less dust aerosol is produced on the right side of the tray. Conclusion When operating the powder particles with smaller particle size, more attention should be paid to the monitoring of aerosol at different positions; the change of air inlet velocity makes the flow field in glove box more complex, and the volume fraction of dust particles is related to the size and location of vortex formed by airflow. The greater the wind speed, the greater the impact on the powder dumping process. The experimental results are basically consistent with the simulation results, and the results show that the lower the dumping speed, the smaller the aerosol concentration near the tray.

Major chronic diseases, including cardiovascular disease, diabetes, cancer, and respiratory disease, cause substantial mortality and morbidity in China. Evidence from Western population showed that smoking, excessive alcohol intake, physical inactivity, unhealthful dietary habits and adiposity are independent risk factors for major chronic diseases. However, because of the vast differences in lifestyles and disease patterns, evidence from Western populations may not be generalizable to the Chinese population. Assessing the directions and magnitude of associations between lifestyles and major chronic diseases is crucial to evaluate the benefits yielded from lifestyle modifications, thus informing related guidelines. In recent years, prospective cohort studies in China, including the China Kadoorie Biobank (CKB), have shown relationships between unfavorable lifestyle factors and major chronic diseases. In particular, the CKB study has laid the evidence base for lifestyle factors (occupational physical activity) and diseases (hemorrhagic stroke, gastrointestinal cancers, and chronic obstructive pulmonary disease) unique to the Chinese population. This article aims to summarize the research findings on this topic.