1.Mechanism of post cardiac arrest syndrome based on animal models of cardiac arrest.
Halidan ABUDU ; Yiping WANG ; Kang HE ; Ziquan LIU ; Liqiong GUO ; Jinrui DONG ; Ailijiang KADEER ; Guowu XU ; Yanqing LIU ; Xiangyan MENG ; Jinxia CAI ; Yongmao LI ; Haojun FAN
Journal of Central South University(Medical Sciences) 2025;50(5):731-746
Cardiac arrest (CA) is a critical condition in the field of cardiovascular medicine. Despite successful resuscitation, patients continue to have a high mortality rate, largely due to post CA syndrome (PCAS). However, the injury and pathophysiological mechanisms underlying PCAS remain unclear. Experimental animal models are valuable tools for exploring the etiology, pathogenesis, and potential interventions for CA and PCAS. Current CA animal models include electrical induction of ventricular fibrillation (VF), myocardial infarction, high potassium, asphyxia, and hemorrhagic shock. Although these models do not fully replicate the complexity of clinical CA, the mechanistic insights they provide remain highly relevant, including post-CA brain injury (PCABI), post-CA myocardial dysfunction (PAMD), systemic ischaemia/reperfusion injury (IRI), and the persistent precipitating pathology. Summarizing the methods of establishing CA models, the challenges encountered in the modeling process, and the mechanisms of PCAS can provide a foundation for developing standardized CA modeling protocols.
Animals
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Disease Models, Animal
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Post-Cardiac Arrest Syndrome/physiopathology*
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Heart Arrest/physiopathology*
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Humans
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Ventricular Fibrillation/complications*
2.Analysis of Risk Factors in Adverse Reaction of Cefazolin Drugs by Logistics Model
Zhichao HE ; Yongmao LIU ; Jinpiao WANG ; Guanghui CHEN
China Pharmacy 2015;(32):4513-4514,4515
OBJECTIVE:To explore the risk factors of adverse reaction of cefazolin drugs by Logistic model. METHODS:Re-lated information was collected from the information system of our hospital,and SPSS 19.0 software was conducted for statistical analysis. RESULTS:Totally 855 patients were enrolled,30 of which had adverse reactions(3.51%). According to the results of Logistic analysis,intravenous administration with the concentration of ≥20 mg/ml (OR=7.857,95% CI:1.566-39.431,P=0.003) was the risk factor of adverse reaction of cefazolin drugs when single dose was above 2 g (OR=13.75,95% CI:2.423-78.028,P<0.001)at 0:00-8:00(OR=2.340,95% CI:1.043-5.253,P=0.034). CONCLUSIONS:Adverse reaction of ce-fazolin drugs might be dose-related type. The drug adverse reaction predictive thresholds are single dose above >1.75 g with ad-ministration time of 0:00-9:05 and concentration of above 7 mg/ml. According to the predictive thresholds,the risk of patients with adverse reaction can be predicted to promote safe and effective use of cefazolin.

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