Hypoglycaemic effect of coixan from Coix seeds on mice

Diabetes is an endocrine system disease characterized by high morbidity, high prevalence, and high mortality. Although the traditional medicine for treating diabetes has a good effect, its side effects are also large. Traditional Chinese medicine has also achieved good therapeutic effects in the treatment of diabetes, and the side effects of Chinese medicine are small. Coix is a medicinal and edible plant. It is used as food and medicine alone or in combination with other herbs in the early days. Its seeds have become one of the most popular Chinese herbal medicines. The coixan was extracted from Coix seed, and it was administered to diabetic mice. After five weeks of treatment, it was found to have some role in hypoglycemic. This study provides a good application prospect for Chinese medicine treatment of diabetes

Hypoglycaemic effect of coixan from Coix seeds on mice

Diabetes is an endocrine system disease characterized by high morbidity, high prevalence, and high mortality. Although the traditional medicine for treating diabetes has a good effect, its side effects are also large. Traditional Chinese medicine has also achieved good therapeutic effects in the treatment of diabetes, and the side effects of Chinese medicine are small. Coix is a medicinal and edible plant. It is used as food and medicine alone or in combination with other herbs in the early days. Its seeds have become one of the most popular Chinese herbal medicines. The coixan was extracted from Coix seed, and it was administered to diabetic mice. After five weeks of treatment, it was found to have some role in hypoglycemic. This study provides a good application prospect for Chinese medicine treatment of diabetes

Are medical record front page data suitable for risk adjustment in hospital performance measurement? Development and validation of a risk model of in-hospital mortality after acute myocardial infarction

Objectives To develop a model of in-hospital mortality using medical record front page (MRFP) data and assess its validity in case-mix standardisation by comparison with a model developed using the complete medical record data.Design A nationally representative retrospective study.Setting Representative hospitals in China, covering 161 hospitals in modelling cohort and 156 hospitals in validation cohort.Participants Representative patients admitted for acute myocardial infarction. 8370 patients in modelling cohort and 9704 patients in validation cohort.Primary outcome measures In-hospital mortality, which was defined explicitly as death that occurred during hospitalisation, and the hospital-level risk standardised mortality rate (RSMR).Results A total of 14 variables were included in the model predicting in-hospital mortality based on MRFP data, with the area under receiver operating characteristic curve of 0.78 among modelling cohort and 0.79 among validation cohort. The median of absolute difference between the hospital RSMR predicted by hierarchical generalised linear models established based on MRFP data and complete medical record data, which was built as ‘reference model’, was 0.08% (10th and 90th percentiles: −1.8% and 1.6%). In the regression model comparing the RSMR between two models, the slope and intercept of the regression equation is 0.90 and 0.007 in modelling cohort, while 0.85 and 0.010 in validation cohort, which indicated that the evaluation capability from two models were very similar.Conclusions The models based on MRFP data showed good discrimination and calibration capability, as well as similar risk prediction effect in comparison with the model based on complete medical record data, which proved that MRFP data could be suitable for risk adjustment in hospital performance measurement