Objective To analyze the diagnostic value of serum procalcitonin (PCT), C-reactive protein (CRP) and interleukin-6 (IL-6) in the detection of incision infection after breast cancer surgery. Methods A total of 152 breast cancer patients admitted to our hospital from June 2016 to April 2018 were enrolled. All patients were given surgery.According to whether the wound infection occurred after operation, the patients were divided into control group (not infected, n=114) and observation group (infected, n=38). The serum levels of PCT, CRP and IL-6 were measured in the two groups on the 2 nd postoperative day. Results The average operation time and hospital stay in the observation group were longer than those in the control group (P<0.05). The serum levels of PCT, CRP and IL-6 in the observation group were higher than those in the control group (P<0.05). The positive rate of the observation group was higher than that of the control group (P<0.05). Conclusion In patients with breast cancer surgery, serum PCT, CRP and IL-6 detection can provide a good reference for the prediction of postoperative incision infection.

Diabetes is in the category ofin TCM, which is mainly discussed in light ofdeficiency. The conception vessel is the sea ofmeridians, acting on regulating the accumulation and irrigation ofand blood of twelve meridians and collaterals. The physiological function of the conception vessel is closely related to the pathogenesis of, its running course is highly coincident with the location ofand the symptoms ofare relevant with the indications of the conception vessel. Hence, harmonizingand blood of the conception vessel may be an effective approach to the prevention and treatment of.

With the development of information technology, the massive growth of pharmaceutical electronic data and the significant increase in the reports of drug adverse event reports have brought great challenges to pharmacovigilance research. Data mining techniques can automatically extract the risk signals of adverse drug reaction from real-world data. Therefore, efficient data mining of massive adverse event reporting is a necessary measure to realize the automatic detection of adverse drug reactions. By introducing the current major large-scale adverse drug event reporting databases and related data mining methods, this study reviews the application and limitations of adverse drug reaction data mining technology in pharmacovigilance, which provides reference for pharmacovigilance-related institutions and researchers.