首页|Real world analysis on renal impairment of elemene emulsion injection based on propensity score matching
Real world analysis on renal impairment of elemene emulsion injection based on propensity score matching
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NETL
NSTL
万方数据
维普
Objective: To explore the main factors of renal function injury caused by the combination of elemene emulsion injection in the real world. Methods: Based on the hospital information system medical database constructed by the Institute of Clinical Basic Medicine of Chinese Academy of Traditional Chinese Medicine, taking the patient information of elemene emulsion injection used in 21 top three hospitals in China as the research object, the nested case control study method was used to compare the combined medication of patients with renal function injury group and control group, The main factors that may lead to renal function injury were screened by MCP variable selection method, and the above main factors were further analyzed by classical logistic regression and propensity score logistic regression method. Results: The analysis found that the combined use of potassium chloride within 7 d before the use of elemene emulsion injection or the combined use of furosemide during the use of elemene emulsion injection may be the main factor leading to renal function injury. Conclusion: The combination of elemene emulsion injection and the above main factors that may lead to renal injury should be avoided. If it must be used, clinical monitoring should be strengthened, and abnormal reactions should be treated immediately. The results of this study have certain clinical significance, and the clinical mechanism can be further studied and explored in the future.
Real worldElemene emulsion injectionRenal impairmentPropensity score
LEI Chao、ZHAO Xiao-xiao、YU Xiao-kang、XIE Yan-ming、WANG Zhi-fei
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Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China
School of Statistics,Renmin University,Beijing 100872,China
Key project of Science and Technology Innovation Project of China Academy of Chinese Medical Sciences国家重点研发计划
NETL
NSTL
万方数据
维普
