| With the continuous improvement of economic level,the quality of human life continues to increase,and the incidence of cardiovascular disease continues to rise.Chronic heart failure(CHF)as the end-stage of different cardiovascular diseases,which has a tremendous impact on the healthy of human and their lifespan.Heart failure(HF)is a set of clinical syndromes caused by various cardiac structural or functional diseases,with ventricular filling and(or)ejection ability impaired.If ventricular systolic was decreased and ejection function was impaired,cardiac output will not meet the body’s metabolism,leading to insufficient blood flow to the tissues and organs,and then the pulmonary congestion and circulation congestion will happen.CHF can be formed with the accumulation of time.Currently,the diagnosis of CHF always needs to detect a lot of projects,making patients under huge economic pressure.Therefore,finding out a rapid,effective and inexpensive detection method to assist the diagnosis of CHF becomes an important topic.Based on the experimental study of CHF animal model,this paper analyzed the relationship between CHF and cardiac reserve index(CRI),and obtained the diagnosis model of CHF,which provides the basis for clinical diagnosis of CHF.First of all,through the comparative analysis of the advantages and disadvantages of different methods of preparing CHF animal model,combined with the existing experimental conditions,experimental techniques,as well as experimental purposes,experimental requirements,adriamycin(ADR)was used to complete the model.The laboratory animal center of Chongqing medical university provided 20 New Zealand rabbits,a total of them were randomly divided into model group(n=15)and control group(n=5).In the process of modeling,New Zealand rabbits of model group and control group were injected with ADR and Sodium chloride solution via the ear vein respectively,twice a week for 8 weeks.In the course of the experiment,the experimenter observed the activities,mental state,eating,drinking water,urine,hair removal of New Zealand rabbits carefully,and weighed their weight.Secondly,in the fourth week of modeling,the RM6240 B multi-channel physiological signal acquisition system was used to detect heart sounds and ECG signals of all experimental animals.At the 8th week of modeling,after collecting ECG and heart sound signals,the right carotid artery intubation was performed.3% sodiumpentobarbital solution was injected into the New Zealand rabbits at a dose of 1 ml/kg via the ear vein.After removing the right carotid artery by surgical instruments and ligating the distal end,the carotid blood pressure signals were detected and recorded with about 3 minutes.Subsequently,the PE tube was inserted to the left ventricle continuously,and the same method was used to detect the left ventricular pressure.After that,3 ml of arterial blood was collected at the incision,and the proximal end was ligated.Finally,the experimental animals were sacrificed by air embolism.At the end of study,all parameters of ECG,heart sound,carotid artery pressure and left ventricular pressure were extracted.SPSS19.0 software was used to finish statistical analysis,and all data were expressed by sx ?.Comparisons between two groups were analyzed by independent sample t test,and multiple-group comparisons were performed using one-way ANOVA.The receiver operating characteristic(ROC)curve was drawn,and the accuracy and diagnostic value of all indicators were evaluated.Pearson correlation coefficient method was used to analyze the correlation between different indicators.The results showed that the New Zealand rabbits of model group decreased appetite,diarrhea,apathetic,hair removal gradually in the modeling process,and some indicators in two groups were statistically significant(p<0.05)as well.So,the animal models can be effectively evaluated.CRI and some indicators of myocardial enzymes,carotid artery pressure,left ventricular pressure,and ECG had a certain relevance,so that the CRI can be used to assess the heart function of CHF model,thus assisting the diagnosis of CHF. |