OBJECTIVE To investigate the effects of Buyang huanwu decoction on red blood cells in hyperlipidemia model mice. METHODS Male C57BL/6 mice were fed a high-fat diet to prepare a hyperlipidemia model. Successfully modeled mice were randomly assigned to the model group， atorvastatin calcium group （0.26 g/kg）， fenofibrate group （1.3 mg/kg）， and high-， medium-， and low- dose groups of Buyang huanwu decoction （18.6， 9.3， 4.6 g/kg）， with 10 mice in each group. Additionally， 10 mice fed with regular chow served as the normal group. Each group of mice received intragastric administration with the corresponding drug or normal saline once daily for 21 consecutive days. After the last administration， the body weight of the mice in each group was measured， and blood glucose， total cholesterol （TC）， triglyceride （TAG）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） levels were measured. Red blood cell morphology changes were observed， and the expression levels of glucose transporter type 1 （GLUT1）， erythrocyte membrane protein band 4.2 （protein 4.2）， caveolin-1， and flotillin-1 in erythrocyte membrane were determined. RESULTS Compared with the model group， the body weight and levels of TC， TAG， HDL-C， LDL-C， and the expression levels of GLUT1， caveolin-1 and flotillin-1 in the Buyang huanwu decoction groups were significantly decreased， while blood glucose levels and the expression levels of protein 4.2 were significantly increased （P＜0.05）. The red blood cell morphology in the low- and medium-dose groups of Buyang huanwu decoction was significantly promoted. CONCLUSIONS Buyang huanwu decoction can reduce blood lipid levels in hyperlipidemia model mice and strengthen the morphology and function of red blood cells in a hyperlipidemic environment， which has the potential to be used for preventing hyperlipidemia complications such as atherosclerosis.

Objective:To establish and verify a nomogram model for predicting the risk of non-alcoholic fatty liver disease (NAFLD) in helicopter flying personnel.Methods:The helicopter flying personnel who recuperated at Air Force Healthcare Center for Special Services Hangzhou were selected as the study subjects. They were divided into the training group (75%) and the verification group (25%) by using the cluster random sampling method for internal verification. Multivariate Logistic regression analysis was used to analyze the factors influencing NAFLD of helicopter flying personnel, and the nomogram model was constructed by R4.2.1 software and rms package. The H-L goodness-of-fit test and receiver operating characteristic (ROC) curve were used to assess the discrimination and calibration of the prediction model, and decision curve analysis (DCA) was used to evaluate the clinical practicality of the model.Results:A total of 2 195 helicopter flying personnel were included, with 1 648 in the training group and 547 in the verification group. Seven variables, including age, BMI, hyperuricemia, hypertriglyceridemia, abnormal high-density lipoprotein, daily intakes of milk and/or its products and years of smoking were used as the predictors of the nomogram model for the risk prediction of NAFLD in helicopter flying personnel. The H-L goodness-of-fit tests of training group and verification group were χ2=8.54, 11.03, P=0.382, 0.200, respectively, indicating a good predictive accuracy. The area under the ROC curve of the 2 groups was 0.840 and 0.860, respectively, indicating a certain degree of discrimination. The incidence risk probability of DCA curve in 2 groups was about 10%-30%, and the net return rate was above 0, suggesting that it had a certain clinical applicability. Increased age ( OR=1.18, P=0.010), overweight and obesity ( OR=3.67, P<0.001), hyperuricemia ( OR=2.12, P<0.001), hypertriglyceridemia ( OR=2.96, P<0.001), abnormal high-density lipoprotein cholesterol ( OR=1.83, P=0.010), and increased years of smoking ( OR=1.20, P=0.010) were the risk factors for NAFLD in helicopter flying personnel, while increased daily intakes of milk and/or its products ( OR=0.76, P=0.020) were identified as a protective factor. Conclusions:The nomogram model based on the aforementioned factors can effectively evaluate the incidence risk of NAFLD in helicopter flying personnel, and has certain clinical practicality.

Objective:To establish and verify a nomogram model for predicting the risk of non-alcoholic fatty liver disease (NAFLD) in helicopter flying personnel.Methods:The helicopter flying personnel who recuperated at Air Force Healthcare Center for Special Services Hangzhou were selected as the study subjects. They were divided into the training group (75%) and the verification group (25%) by using the cluster random sampling method for internal verification. Multivariate Logistic regression analysis was used to analyze the factors influencing NAFLD of helicopter flying personnel, and the nomogram model was constructed by R4.2.1 software and rms package. The H-L goodness-of-fit test and receiver operating characteristic (ROC) curve were used to assess the discrimination and calibration of the prediction model, and decision curve analysis (DCA) was used to evaluate the clinical practicality of the model.Results:A total of 2 195 helicopter flying personnel were included, with 1 648 in the training group and 547 in the verification group. Seven variables, including age, BMI, hyperuricemia, hypertriglyceridemia, abnormal high-density lipoprotein, daily intakes of milk and/or its products and years of smoking were used as the predictors of the nomogram model for the risk prediction of NAFLD in helicopter flying personnel. The H-L goodness-of-fit tests of training group and verification group were χ2=8.54, 11.03, P=0.382, 0.200, respectively, indicating a good predictive accuracy. The area under the ROC curve of the 2 groups was 0.840 and 0.860, respectively, indicating a certain degree of discrimination. The incidence risk probability of DCA curve in 2 groups was about 10%-30%, and the net return rate was above 0, suggesting that it had a certain clinical applicability. Increased age ( OR=1.18, P=0.010), overweight and obesity ( OR=3.67, P<0.001), hyperuricemia ( OR=2.12, P<0.001), hypertriglyceridemia ( OR=2.96, P<0.001), abnormal high-density lipoprotein cholesterol ( OR=1.83, P=0.010), and increased years of smoking ( OR=1.20, P=0.010) were the risk factors for NAFLD in helicopter flying personnel, while increased daily intakes of milk and/or its products ( OR=0.76, P=0.020) were identified as a protective factor. Conclusions:The nomogram model based on the aforementioned factors can effectively evaluate the incidence risk of NAFLD in helicopter flying personnel, and has certain clinical practicality.