Clinical Application Analysis of Andrographolide Total Ester Sulfonate Injection,a Traditional Chinese Medicine Licensed in China

Andrographolide total ester sulfonate（ATES） injection is one of the products of traditional Chinese medicine（TCM） currently used against viral infection in China.ATES injection was approved for manufacturing and marketing in January 2002.It is indicated for acute respiratory infections,tonsillitis,chronic obstructive pulmonary disease,influenza,foot and mouth disease,bronchiolitis,herpangina,mumps,infectious mononucleosis and psychosis.However,its usage also carries risk.We investigated the use of ATES at the Wuhan Union Hospital from January 2014 to December 2014 and evaluated its real-world clinical application using the hospital centralized monitoring method.A total of 848 cases were enrolled in this study.In these cases,it was mainly used for postoperative anti-inflammation and treating upper respiratory infection,pneumonia and bronchitis.Among them,39.86% were contraindicated.Irregular medication of adults and children accounted for 1.91% and 23.38%,respectively.Improper choice of solvent accounted for 3.18%.The choice of intravenous drip versus aerosol inhalation was reasonable.A case of adverse events（AEs） was observed in the monitoring period,and the incidence of adverse drug reaction（ADR） of ATES injection was 0.12%.ATES injection in our hospital is relatively safe with a low incidence of adverse reactions.The study assesses the clinical usage and adverse reactions of ATES injection,and provides suggestions for rational use in clinical practice.

Random Forest Analysis the Influencing Factors on Adverse Drug Reactions of Qingkailing Injection

Objective:To investigate the influencing factors of adverse drug reaction(ADR)in Qingkailing injection.Methods:Based on the hospitals centralized monitoring data of multicenter and prospective,the patients who used Qingkailing injection from January 2013 to March 2016 were monitored in 48 medical institutions in China.The nesting case-control study was used and the random forest was used for analysis.The main contents of the analysis are as follows:past history,past allergy history and ADR history,clinical diagnosis,dosage,interval drug,solvent type,combined drug use,etc.Results:A total of 30842 cases with Qingkailing injection were included,with 92 cases of adverse reactions and the incidence of adverse reactions was 3‰.According to the nested case-control study design,the influencing factors of 92 patients with ADR and 276 non-drug-related adverse reactions were displayed on the basis of statistical description(significance level P≤0.2 and clinical information)using Random forest analysis shows that the factors affecting the ADR of the Qingkailing injection according to the MeandecaseGini are from high to low in the first 15 positions:Vitamin supplements,tumors,gastrointestinal diseases,traditional Chinese medicine,previous allergic history,cerebral insufficiency,rash,urinary tract infection,vascular and lymphovascular diseases,pioglitazone,metabolic and endocrine system drugs,past ADR history,respiratory and mediastinal diseases,dioxpromazide,pneumonia.Conclusion:The incidence of adverse reactions in Qingkailing injection hospital is 3%.The factors closely related to the occurrence of ADR are previous tumors,gastrointestinal diseases,history of adverse reactions of rash,urinary tract infection,insufficient cerebral blood supply,respiratory system and other diseases,pioglitazone and other combined drugs.

SCADA data based condition monitoring of wind turbines

Wind turbines（WTs） are quite expensive pieces of equipment in power industry. Maintenance and repair is a critical activity which also consumes lots of time and effort, hence making it a costly affair. Carefully planning the maintenance based upon condition of the equipment would make the process reasonable. Mostly the WTs are equipped with some kind of condition monitoring device/system, which provides the information about the device to the central data base i.e., supervisory control and data acquisition（SCADA） data base. These devices/systems make use of data processing techniques/methods in order to detect and predict faults. The information provided by condition monitoring equipments keeps on recoding in the SCADA data base. This paper dwells upon the techniques/methods/algorithms developed, to carry out diagnosis and prognosis of the faults, based upon SCADA data.Subsequently data driven approaching for SCADA data interpretation has been reviewed and an artificial intelligence（AI） based framework for fault diagnosis and prognosis of WTs using SCADA data is proposed.