[Retrospective analysis of perioperative anaphylactic shock induced by cefuroxime].

This study investigated the characteristics and frequency of perioperative anaphylactic shock induced by cefuroxime, so as to provide a reference for the safe and rational use of cefuroxime in the perioperative period. Cases of perioperative anaphylactic shock caused by cefuroxime in our hospital from 2011 to 2021 were extracted from the Adverse Drug Reaction Monitoring System. Literature reporting adverse drug reactions (ADR) including cefuroxime-induced anaphylactic shock in perioperative settings was collected from the CNKI, VIP, Wanfang, PubMed, and Web of Science databases from their respective inception to May 2022. Statistical analysis was performed for all cases of cefuroxime-induced perioperative anaphylactic shock. A total of 31 patients were included [13 men (48.1%) and 14 women (51.9%)], most of whom were over 60 years old (n=16, 59.3%); 9 (29.0%) patients had a history of drug allergy; 5 (16.1%) patients had received skin tests, but with negative results; 28 (90.3%) patients received treatment intravenously; 22 (71.0%) patients were treated after anesthesia. For 20 (64.5%) patients the ADR occurred within 10 minutes after anesthesia. The main manifestations were hypotension, dyspnea, rash, and tachycardia. For all patients, symptoms resolved after withdrawal of the drug and active rescue, and there were no deaths. A history of allergy and skin test findings may have limitations in predicting perioperative anaphylactic shock caused by cefuroxime; greater vigilance should be exercised when using cefuroxime in the perioperative period. Close monitoring is recommended for patients undergoing treatment with cefuroxime. Rescue therapy should be administered for allergic shock, and suitable response measures must be taken in a timely manner to ensure the safety of patients.

[The diagnostic value of inflammation-related genes in bronchopulmonary dysplasia].

This study aims to explore the diagnostic value of inflammation-related genes in peripheral blood mononuclear cells in bronchopulmonary dysplasia (BPD). By using bioinformatics analysis, three datasets including GSE32472, GSE125873, and GSE220135, which contain whole-genome expression profile data of 251 neonates, were included. The GSE32472 dataset was used as a training dataset to detect differentially expressed genes between non-BPD and BPD neonates in peripheral blood mononuclear cells. The gene enrichment analysis (GSEA) was used to detect the pathway enrichment of up-regulated genes in BPD newborns. The main regulatory factors analysis (MRA) algorithm was used to filter the main regulatory genes in the inflammation-related pathway (GO:0006954). After obtaining the main regulatory genes, the expression of the main regulatory genes in the GSE32472, GSE125873, and GSE220135 datasets was detected. Through the logistic regression model, risk scoring was conducted for neonates, and the risk scores of non-BPD and BPD neonates were compared. Lastly, the classification performance of the model was evaluated using the area under the curve (AUC). The results showed that compared with non-BPD neonates, there were 486 up-regulated genes and 433 down-regulated genes in the peripheral blood mononuclear cells of BPD neonates. The inflammation-related pathway was highly enriched in the up-regulated genes. Ultimately, phospholipase C beta 1 (PLCB1), nidogen 1 (NID1), serum response factor binding protein 1 (SRFBP1), centrosomal protein 72 (CEP72), excision repair cross complementation group 6 like (ERCC6L), and peptidylprolyl isomerase like 1 (PPIL1) were identified as the main regulatory genes. The prediction model's calculation formula for risk score was PLCB1×0.26+NID1×0.97+SRFBP1×1.58+CEP72×(-0.36)+ERCC6L×2.14+PPIL1×0.67. The AUCs in the GSE32472 test dataset, GSE125873 dataset, and GSE220135 dataset were 0.88, 0.86, and 0.89, respectively. This prediction model could distinguish between non-BPD and BPD neonates. In conclusion, the prediction model based on inflammation-related pathway genes has a certain diagnostic value for BPD.