1.Study of Anti-infection Effect on Jindengshangen Oral liquor
Jianhua ZHANG ; Ruomin JIN ; Meifang CAO ; Jiana NI ; Shifang LI ; Yueping WU ;
Chinese Traditional Patent Medicine 1992;0(01):-
Objective: To study the mechanism of jindengshanggen (JDSG) oral liquid's anti infectiion effect.Methods: inhibition on bacteria growth, resistance to Escherichia coli endotoxin and measurement of monocytic phagocaryosis in mice were taken. Results: The effects of JDSG oral liquid is probably not due to the inhibition on bacteria growth, but rather due to its stimulation on other anti infection mechanisms in human body. The enhancement of immune response and toxin tolerance may be one of the mechanisms for JDSG oral liquid to cure acute pharynx infection. Conclusions: These results provide a basis for clinical application of JDSG.
2.Nomogram including serum ferritin to predict the occurrence of diabetic retinopathy
Xiaoyu WU ; Dandan XIE ; Jiana CHEN ; Lianhong NI ; Weina LI
International Eye Science 2024;24(5):671-676
AIM:To establish a nomogram model to predict the effect of serum ferritin on diabetic retinopathy and evaluate the model.METHODS:A total of 21 variables, including ferritin, were screened by univariate and multivariate regression analysis to determine the risk factors of diabetic retinopathy. A nomogram prediction model was established for evaluation and calibration.RESULTS:Ferritin, duration of diabetes, hemoglobin, urine microalbumin, regularity of medication and body mass index were included in the nomogram model. The consistency index of the prediction model with serum ferritin was 0.813(95%CI: 0.748-0.879). The calibration curves of internal and external verification showed good performance, and the probability of the threshold suggested by the decision curve was in the range 10% to 90%. The model had a high net profit value.CONCLUSIONS:Serum ferritin is an important risk factor for diabetic retinopathy. A new nomogram model, which includes body mass index, duration of diabetes, ferritin, hemoglobin, urine microalbumin and regularity of medication, has a high predictive accuracy and could provide early prediction for clinicians.