# Correlation between Cardiac Ultrasound-Related Indicators and Cardiac Function in Patients with Coronary Heart Disease and Heart Failure

Authors: Min Tian; Yuhong Wang; Xingxiang Ren; Shufan Zhao; Xiaoyan Wang
Journal: Evidence-Based Complementary and Alternative Medicine
 (2022)

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## Abstract

Objective. The purpose of this paper is to analyse the correlation between cardiac ultrasound-related indicators and cardiac function in patients with coronary heart disease and heart failure. Methods. In this experiment, a total of 160 patients with coronary heart disease and heart failure who were diagnosed and treated in our hospital from June 2019 to March 2021 were recruited as the study group. All were examined by colour Doppler ultrasound instrument, SPSS statistical software was used to analyse the data obtained, and Spearman correlation was used to analyse the correlation between cardiac ultrasound-related indicators and cardiac function in patients with coronary heart disease and heart failure. Results. In the study group, there were 68 patients with grade II cardiac function, accounting for 42.50%; 74 patients with grade III, accounting for 46.25%; and 18 patients with grade IV, accounting for 11.25%. The ultrasound parameters of the patients in the study group were profiled and calculated, and then statistically analysed with cardiac function grading. Cardiac function classification was significantly positively correlated with LVMI, LAD, and LVEDd (r = 0.689/0.915/0.928, P=0.001) and significantly negatively correlated with CI, LVFS, and LVEF (r = −0.689/−0.878/−0.912), P=0.001). Conclusion. Cardiac ultrasound-related indicators are associated with patients with coronary heart disease and heart failure. With the decline of cardiac function in patients with coronary heart disease and heart failure, the patient’s condition is aggravated. Therefore, cardiac ultrasound-related indicators play a major role in the diagnosis of clinical disease progression.


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## Body

## 1. Introduction

According to data released by the World Health Organization, an estimated 17.9 million people will die from cardiovascular disease in 2019, accounting for 32% of global deaths, and in 85% of deaths, the major factors were heart attacks and strokes. Coronary atherosclerotic heart disease is the result of coronary artery disease caused by ischaemia, hypoxia, or necrosis [1]. Heart failure, also known as congestive heart failure (HF) [2], is a syndrome of ventricular occlusion and impaired ejection capacity caused by various structural or functional disorders of the heart [3] that predispose to venous stasis and adversely affect local blood circulation to the heart [4]. Coronary heart disease complicated by heart failure is a common and serious complication of cardiovascular disease. It is a syndrome in which patients with coronary heart disease have impaired cardiac pumping function for various reasons [5], while cardiac output is unable to meet basic systemic metabolic needs, and angina pectoris tends to lead to myocardial ischaemia and hypoxia. In severe cases, adverse symptoms such as atherosclerosis can also occur, posing a great threat to patients’ life safety. Symptoms in patients with coronary artery disease and heart failure are mainly exertional dyspnoea, chest tightness, asthma, and possibly bilateral lower limb oedema, jugular venous dilatation, pleural effusion, and hepatomegaly [6]. Epidemiological statistics show that more than 60% of heart failure is caused by coronary artery disease [7]. Because of the high frequency of coronary artery disease complicating heart failure and the fact that it occurs mostly in middle-aged and elderly people, it accounts for a considerable amount of mortality and disability [8, 9].Therefore, it is urgent to conduct early diagnosis and treatment in clinical practice. Cardiac ultrasound, the most common diagnostic method at present, can display the internal structure of the heart [10]. The heartbeat and dynamic blood flow probe is like a camera lens, and the different structures of the heart are clearly displayed on the screen with the rotation of the probe [11]. It has the advantages of convenient operation, wide application range, and no damage to the human body [12]. It has been widely recognized by clinicians and patients due to its accuracy in providing the changes in the size of the cardiac chamber, the structure of the heart valve, and the function of the heart [13]. Heart failure should be combined with the indicators of cardiac ultrasound, which usually looks at the ejection fraction of the heart. The cardiac ejection fraction of a normal person is greater than 50%. If the cardiac ejection fraction is less than 50%, it is necessary to consider heart failure. For cardiac ejection fraction [14], if the ejection fraction of the heart is above 40% and less than 50%, it needs to be considered as mild heart failure; if the ejection fraction of the heart is between 30% and 40%, it is considered as moderate heart failure [15]. In recent years, there have been many reports on the physical and chemical examination results of cardiac ultrasound, but the in-depth discussions on the cardiac function of patients have rarely been reported. To address the gap, we study and analyse the correlation between cardiac ultrasound-related indicators and cardiac function in patients with coronary heart disease and heart failure.


## 2. Materials and Methods

### 2.1. Participants

A total of 160 patients with coronary heart disease and heart failure who were diagnosed and treated in our hospital from June 2019 to March 2021 were enrolled, including 88 males and 72 females. The studies involving human participants were reviewed and approved by the ethics committee of Heping Hospital affiliated to Changzhi Medical College (approved no. 2939/81).


### 2.2. Inclusion and Exclusion Criteria

#### 2.2.1. Inclusion Criteria

The inclusion criteria were as follows: (1) patients who met the relevant diagnostic criteria for coronary heart disease inClinical Disease Diagnosis and Efficacy Determination Criteria; (2) patients who met the diagnostic criteria for heart failure in Chinese Heart Failure Diagnosis and Treatment Guidelines 2018; (3) patients and their families who were informed of the study and voluntarily signed the consent form; (4) participants who were between 50 and –70 years old; and (5) patients who were examined by colour Doppler ultrasound.


#### 2.2.2. Exclusion Criteria

The exclusion criteria were as follows: (1) patients with acute myocardial infarction combined with heart failure; (2) combined with mental illness or unconsciousness; (3) combined with autoimmune system diseases; (4) patients previously treated with valsartan, diuretics, or spironolactone; and (5) patients undergoing other experiments.


### 2.3. Methods

All subjects were diagnosed by ultrasound Doppler ultrasound (IE33, probe s5–1). The attending physician of our hospital applied a phased array probe, with a frequency of the probe of 2.5–4.0 MHz before the examination, then assisted the patient in the appropriate supine position, performed continuous scans of the cardiac structure to obtain normal ultrasound parameters, and observed the overall shape and structure. 2D cardiac echocardiography was used to image the heart, and the direction of the sampling line was determined according to the M-type ECG, and then the layered activity of the upper structure of the heart was observed and recorded.


### 2.4. Observation Indicators

(1)
According to the New York Heart Association (NYHA) cardiac function classification, the cardiac function was assessed. Grade I: the patient has heart disease, but the number of daily activities is not limited, and general activities do not cause fatigue, palpitations, dyspnoea, or angina pectoris. Grade II: the physical activity of patients with heart disease is slightly restricted, and there are no symptoms at rest, but fatigue, palpitations, dyspnoea, or angina pectoris occur during normal activities. Grade III: the physical activity of patients with heart disease is significantly limited, and less than the usual general activities can cause the above symptoms. Grade IV: patients with heart disease cannot engage in any physical activity, and symptoms of heart failure also occur at rest, which are aggravated by physical activity.(2)
The modified Simpson method was used to monitor the aortic annulus diameter (AAD), aortic sinus diameter (ASD), left atrial diameter (LAD), ventricular septal thickness (IVST), left ventricular end-diastolic diameter (LVEDd), left ventricular end-systolic diameter (LVESd), left ventricular posterior wall thickness (LVPWT), right ventricular diameter (RVD), right ventricular outflow tract (RVOT), right atrial diameter (RAD), main pulmonary artery diameter (MPAD), left ventricular short axis shortening rate (LVFS), left ventricular ejection fraction (LVEF), stroke volume (SV), and cardiac output (CO).The index reflecting ventricular systolic function, cardiac index (CI) and the index reflecting cardiac remodelling, left ventricular myocardial mass index (LVMI) were calculated according to the formula inCardiology.CI = CO/BSA. BSA is the body surface area, expressed in m2LVMI = LVM (left ventricular mass)/body surface areaLeft ventricular mass = 0.8{1.04[([LVEDD + IVSd + PWd]3 − LVEDD3)]} + 0.6


### 2.5. Statistical Analysis

Correlation analysis was performed by Spearman correlation. SPSS22.0 software was used to process and analyse the data. The data were tested for normality before analysis, and the correlation was represented by the r value, and the higher the r value, the higher the correlation. Statistical differences were set atP<0.05.


## 2.1. Participants

A total of 160 patients with coronary heart disease and heart failure who were diagnosed and treated in our hospital from June 2019 to March 2021 were enrolled, including 88 males and 72 females. The studies involving human participants were reviewed and approved by the ethics committee of Heping Hospital affiliated to Changzhi Medical College (approved no. 2939/81).


## 2.2. Inclusion and Exclusion Criteria

### 2.2.1. Inclusion Criteria

The inclusion criteria were as follows: (1) patients who met the relevant diagnostic criteria for coronary heart disease inClinical Disease Diagnosis and Efficacy Determination Criteria; (2) patients who met the diagnostic criteria for heart failure in Chinese Heart Failure Diagnosis and Treatment Guidelines 2018; (3) patients and their families who were informed of the study and voluntarily signed the consent form; (4) participants who were between 50 and –70 years old; and (5) patients who were examined by colour Doppler ultrasound.


### 2.2.2. Exclusion Criteria

The exclusion criteria were as follows: (1) patients with acute myocardial infarction combined with heart failure; (2) combined with mental illness or unconsciousness; (3) combined with autoimmune system diseases; (4) patients previously treated with valsartan, diuretics, or spironolactone; and (5) patients undergoing other experiments.


## 2.2.1. Inclusion Criteria

The inclusion criteria were as follows: (1) patients who met the relevant diagnostic criteria for coronary heart disease inClinical Disease Diagnosis and Efficacy Determination Criteria; (2) patients who met the diagnostic criteria for heart failure in Chinese Heart Failure Diagnosis and Treatment Guidelines 2018; (3) patients and their families who were informed of the study and voluntarily signed the consent form; (4) participants who were between 50 and –70 years old; and (5) patients who were examined by colour Doppler ultrasound.


## 2.2.2. Exclusion Criteria

The exclusion criteria were as follows: (1) patients with acute myocardial infarction combined with heart failure; (2) combined with mental illness or unconsciousness; (3) combined with autoimmune system diseases; (4) patients previously treated with valsartan, diuretics, or spironolactone; and (5) patients undergoing other experiments.


## 2.3. Methods

All subjects were diagnosed by ultrasound Doppler ultrasound (IE33, probe s5–1). The attending physician of our hospital applied a phased array probe, with a frequency of the probe of 2.5–4.0 MHz before the examination, then assisted the patient in the appropriate supine position, performed continuous scans of the cardiac structure to obtain normal ultrasound parameters, and observed the overall shape and structure. 2D cardiac echocardiography was used to image the heart, and the direction of the sampling line was determined according to the M-type ECG, and then the layered activity of the upper structure of the heart was observed and recorded.


## 2.4. Observation Indicators

(1)
According to the New York Heart Association (NYHA) cardiac function classification, the cardiac function was assessed. Grade I: the patient has heart disease, but the number of daily activities is not limited, and general activities do not cause fatigue, palpitations, dyspnoea, or angina pectoris. Grade II: the physical activity of patients with heart disease is slightly restricted, and there are no symptoms at rest, but fatigue, palpitations, dyspnoea, or angina pectoris occur during normal activities. Grade III: the physical activity of patients with heart disease is significantly limited, and less than the usual general activities can cause the above symptoms. Grade IV: patients with heart disease cannot engage in any physical activity, and symptoms of heart failure also occur at rest, which are aggravated by physical activity.(2)
The modified Simpson method was used to monitor the aortic annulus diameter (AAD), aortic sinus diameter (ASD), left atrial diameter (LAD), ventricular septal thickness (IVST), left ventricular end-diastolic diameter (LVEDd), left ventricular end-systolic diameter (LVESd), left ventricular posterior wall thickness (LVPWT), right ventricular diameter (RVD), right ventricular outflow tract (RVOT), right atrial diameter (RAD), main pulmonary artery diameter (MPAD), left ventricular short axis shortening rate (LVFS), left ventricular ejection fraction (LVEF), stroke volume (SV), and cardiac output (CO).The index reflecting ventricular systolic function, cardiac index (CI) and the index reflecting cardiac remodelling, left ventricular myocardial mass index (LVMI) were calculated according to the formula inCardiology.CI = CO/BSA. BSA is the body surface area, expressed in m2LVMI = LVM (left ventricular mass)/body surface areaLeft ventricular mass = 0.8{1.04[([LVEDD + IVSd + PWd]3 − LVEDD3)]} + 0.6


## 2.5. Statistical Analysis

Correlation analysis was performed by Spearman correlation. SPSS22.0 software was used to process and analyse the data. The data were tested for normality before analysis, and the correlation was represented by the r value, and the higher the r value, the higher the correlation. Statistical differences were set atP<0.05.


## 3. Results

### 3.1. Patient Profile

There were 160 cases in the study group, 88 males and 72 females; aged 50–70 years old, average age 60.98 ± 4.87 years old; BMI 23.1–24.5 kg/m2, average 23.91 ± 0.88 kg/m2; educational background: 48 cases of high school and below, 79 cases of colleges, and 33 cases of undergraduate degree or above (see Table 1).Table 1
Patients’ profile.
GroupsnGenderAge (years)BMI (kg/m2)Educational backgroundMaleFemaleRangeMeanRangeMeanHigh schooland belowCollegeUndergraduateand aboveStudy group160887250–7060.98 ± 4.8723.1–24.523.91 ± 0.88487933


### 3.2. Classification of Cardiac Function

Among the patients in the study group, there were 68 cases of cardiac function grade II, accounting for 42.50%; 74 cases of grade III, accounting for 46.25%; and 18 cases of grade IV, accounting for 11.25% (see Table2).Table 2
Cardiac function classification.
TotalClassificationGrade IIGrade IIIGrade IV16068 (42.50)74 (46.25)18 (11.25)


### 3.3. Ultrasonic Parameters

The ultrasound parameters of the patients in the study group were ADD 20.78 ± 2.58 mm, ASD 34.58 ± 4.96 mm, LAD 42.08 ± 5.21 mm, IVST 8.99 ± 1.54 mm, LVEDd 60.07 ± 9.88 mm, LVESd 45.87 ± 7.94 mm, LVPWT 9.00 ± 1.02 mm, RVD 21.27 ± 4.13 mm, RVOT 30.97 ± 4.83 mm, RAD 41.02 ± 7.11 mm, MPAD 24.11 ± 4.09 mm, LVFS 24.16 ± 4.08%, LVEF 45.75 ± 8.22%, SV 70.84 ± 20.41 ml, and CO 5.22 ± 1.21 L/min. See Table3.Table 3
Ultrasound parameter values.
GroupsNAAD (mm)ASD (mm)LAD (mm)IVST (mm)LVEDd (mm)Study group16020.78 ± 2.5834.58 ± 4.9642.08 ± 5.218.99 ± 1.5460.07 ± 9.88Control group10017.63 ± 3.2125.63 ± 3.0530.15 ± 4.17∗6.89 ± 1.1550.27 ± 5.08GroupsNLVESd (mm)LVPWT (mm)RVD (mm)RVOT (mm)RAD (mm)Study group16045.87 ± 7.949.00 ± 1.0221.27 ± 4.1330.97 ± 4.8341.02 ± 7.11Control group10028.41 ± 3.87∗7.89 ± 1.4533.25 ± 3.1421.12 ± 3.0835.12 ± 3.17GroupsNMPAD (mm)LVFS (%)LVEF (%)SV (ml)CO (L/min)Study group16024.11 ± 4.0924.16 ± 4.0845.75 ± 8.2270.84 ± 20.415.22 ± 1.21Control group10026.14 ± 3.1235.15 ± 5.08∗59.56 ± 7.03∗70.21 ± 10.055.83 ± 1.11Note.∗indicates that there is a statistically significant difference between the two groups.


### 3.4. Correlation Analysis

Cardiac function classification was significantly positively correlated with LVMI, LAD, and LVEDd (r = 0.689/0.915/0.928, P=0.001) and was significantly negatively correlated with CI, LVFS, and LVEF (r = −0.689/−0.878/−0.912, P=0.001) (see Table 4).Table 4
Correlation analysis of cardiac function classification and ultrasound indexes.
rPCI−0.6890.001LVMI0.6890.001LAD0.9150.001LVESd0.9280.001LVFS−0.8780.001LVEF−0.9120.001


## 3.1. Patient Profile

There were 160 cases in the study group, 88 males and 72 females; aged 50–70 years old, average age 60.98 ± 4.87 years old; BMI 23.1–24.5 kg/m2, average 23.91 ± 0.88 kg/m2; educational background: 48 cases of high school and below, 79 cases of colleges, and 33 cases of undergraduate degree or above (see Table 1).Table 1
Patients’ profile.
GroupsnGenderAge (years)BMI (kg/m2)Educational backgroundMaleFemaleRangeMeanRangeMeanHigh schooland belowCollegeUndergraduateand aboveStudy group160887250–7060.98 ± 4.8723.1–24.523.91 ± 0.88487933


## 3.2. Classification of Cardiac Function

Among the patients in the study group, there were 68 cases of cardiac function grade II, accounting for 42.50%; 74 cases of grade III, accounting for 46.25%; and 18 cases of grade IV, accounting for 11.25% (see Table2).Table 2
Cardiac function classification.
TotalClassificationGrade IIGrade IIIGrade IV16068 (42.50)74 (46.25)18 (11.25)


## 3.3. Ultrasonic Parameters

The ultrasound parameters of the patients in the study group were ADD 20.78 ± 2.58 mm, ASD 34.58 ± 4.96 mm, LAD 42.08 ± 5.21 mm, IVST 8.99 ± 1.54 mm, LVEDd 60.07 ± 9.88 mm, LVESd 45.87 ± 7.94 mm, LVPWT 9.00 ± 1.02 mm, RVD 21.27 ± 4.13 mm, RVOT 30.97 ± 4.83 mm, RAD 41.02 ± 7.11 mm, MPAD 24.11 ± 4.09 mm, LVFS 24.16 ± 4.08%, LVEF 45.75 ± 8.22%, SV 70.84 ± 20.41 ml, and CO 5.22 ± 1.21 L/min. See Table3.Table 3
Ultrasound parameter values.
GroupsNAAD (mm)ASD (mm)LAD (mm)IVST (mm)LVEDd (mm)Study group16020.78 ± 2.5834.58 ± 4.9642.08 ± 5.218.99 ± 1.5460.07 ± 9.88Control group10017.63 ± 3.2125.63 ± 3.0530.15 ± 4.17∗6.89 ± 1.1550.27 ± 5.08GroupsNLVESd (mm)LVPWT (mm)RVD (mm)RVOT (mm)RAD (mm)Study group16045.87 ± 7.949.00 ± 1.0221.27 ± 4.1330.97 ± 4.8341.02 ± 7.11Control group10028.41 ± 3.87∗7.89 ± 1.4533.25 ± 3.1421.12 ± 3.0835.12 ± 3.17GroupsNMPAD (mm)LVFS (%)LVEF (%)SV (ml)CO (L/min)Study group16024.11 ± 4.0924.16 ± 4.0845.75 ± 8.2270.84 ± 20.415.22 ± 1.21Control group10026.14 ± 3.1235.15 ± 5.08∗59.56 ± 7.03∗70.21 ± 10.055.83 ± 1.11Note.∗indicates that there is a statistically significant difference between the two groups.


## 3.4. Correlation Analysis

Cardiac function classification was significantly positively correlated with LVMI, LAD, and LVEDd (r = 0.689/0.915/0.928, P=0.001) and was significantly negatively correlated with CI, LVFS, and LVEF (r = −0.689/−0.878/−0.912, P=0.001) (see Table 4).Table 4
Correlation analysis of cardiac function classification and ultrasound indexes.
rPCI−0.6890.001LVMI0.6890.001LAD0.9150.001LVESd0.9280.001LVFS−0.8780.001LVEF−0.9120.001


## 4. Discussion

Currently, there is no complete cure for coronary heart disease in clinical practice. Heart failure is resulted from the inability of the myocardium to contract normally due to various factors and failure to meet the body’s needs [16]. It is the end stage of the development of various cardiovascular diseases such as hypertension, coronary heart disease, and cardiomyopathy [17]. Some studies have pointed out that the current survival rate of multicause heart failure is approaching to that of patients with malignant tumours, greatly threatening the physical and mental health of patients, and constituting a considerable mortality of more than 50% [18]. In recent years, the incidence and mortality of coronary heart disease combined with heart failure have been extremely high [19]. Therefore, early detection and early diagnosis are particularly important for the treatment of patients, and they also have positive significance for improving prognosis and improving the quality of life of patients [20]. Traditional diagnosis is criticized due to failure to comprehensive analysis of cardiac function, high rates of misdiagnosis, and examination-induced injuries. Cardiac ultrasound emerges in response to the development of ultrasound technology in clinical diagnosis. It can display the respondent’s heart data and circulation data and can provide a more comprehensive assessment of cardiac function. Some studies argued that cardiac colour Doppler ultrasound has the advantages of minor damage, simple operation, repeatability, etc., and its sensitivity is higher than that of ECG, which can significantly improve the accuracy of disease diagnosis [19, 21, 22]. However, its application in coronary heart disease combined with heart failure needs to be further studied.The ejection fraction is the main indicator, which is the percentage of output per beat to the end-diastolic volume of the ventricle (i.e., the preload of the heart) and can be examined by echocardiography and is one of the most important indicators of the type of heart failure. The normal value is 50–70%, with more than 50% generally falling within the normal range, and the ejection fraction at rest in humans is approximately 55% to 65% [14]. Ejection fraction (EF) values measured by cardiac ultrasound can determine the severity of heart failure and will gradually increase as the condition improves. Therefore, EF values can be used to diagnose heart failure, and improvements in the degree of heart failure can be observed. However, the use of echocardiography in coronary artery disease combined with heart failure needs further study. Colour Doppler ultrasound looks mainly at the shape of the heart and blood flow. Colour ultrasound in coronary artery disease mainly shows ventricular segmental dyskinesia, so colour ultrasound is rarely used alone in the diagnosis of coronary artery disease [23]. The gold standard for the diagnosis of coronary heart disease is the coronary arteries. Angiography, if a coronary angiogram shows a stenosis of more than 50%, coronary artery disease is diagnosed. Each diagnostic method has areas where it is most suitable and certain disadvantages. For example, magnetic resonance imaging (MRI) techniques are similar to catheter angiography in their effectiveness in examining the heart. The advantage is that there is no image overlap, and it can replace invasive cardiac angiography. The disadvantage is that it is not suitable for uncooperative infants or critically ill patients [24, 25].The results of this study showed that cardiac function classification was significantly positively correlated with LVMI, LAD, and LVEDd (r = 0.689/0.915/0.928, P=0.001) and was significantly negatively correlated with CI, LVFS, and LVEF (r = −0.689/−0.878/−0.912, P=0.001). This would suggest that the cardiac function classification of patients with coronary heart disease and heart failure is closely related to ultrasound indicators. It is known that LVFS can reflect the sensitivity of myocardial systolic function, heart size, heart rhythm, individual differences, LVESd reflects an important index of left ventricular diastolic function, LAD can directly reflect the size of the left atrium, and CI and LVMI are both indicators calculated from the ultrasound results. All these contribute to provide a comprehensive assessment of the cardiac function of patients with coronary heart disease and heart failure. That would probably suggest that when the patient’s cardiac function grade increases, the relevant ultrasound indicators would abnormally change. The above indicators can also restore to normal displayed via ultrasound indicators given proper and effective treatment, which is similar to the results of the previous study.The method of traditional Chinese medicine to judge coronary heart disease is firstly through inspection. The inspection first looks at the colour of the tongue coating and tongue. In patients with coronary heart disease, the colour of the tongue coating will generally appear red or purple, and then observe the blood in the veins at the base of the tongue [26]. In most patients with coronary heart disease, the veins at the base of the tongue are dark purple and engorged. In addition, for patients with coronary heart disease, the method of cutting the pulse can also be used. In the case of coronary heart disease, there will be thin pulses, deep pulses, colour pulses, and knotted pulses. The third is the consultation, and the consultation is to ask the patient’s situation. From the perspective of traditional Chinese medicine, heart failure can be diagnosed as chest pain, asthma, or palpitations according to clinical manifestations [26, 27]. Heart failure is mainly caused by physical weakness or prolonged illness, or disorders after illness, resulting in the loss of yang qi in the heart, spleen, lung, and kidney, blockage of blood stasis, and flooding of water and dampness, often due to the feeling of external pathogens, emotional disorders, overwork, improper diet, etc., induced or aggravated [27, 28]. Some patients show that they cannot lie down at night; otherwise, they will have more severe wheezing, which can be diagnosed as asthma, while some patients are flustered by a little activity, and such patients are diagnosed as palpitations [28]. Therefore, from the perspective of traditional Chinese medicine, heart failure is mainly diagnosed according to the different clinical manifestations of patients. Combining the above, we can consider combining the diagnosis and treatment methods of traditional Chinese and Western medicine and take advantage of each to create a new clinical diagnosis method.To sum up, cardiac ultrasound-related indicators are associated with patients with coronary heart disease and heart failure. With the decline of cardiac function in patients with coronary heart disease and heart failure, the patient’s condition is aggravated. Therefore, cardiac ultrasound-related indicators play a major role in the diagnosis of clinical disease progression. The use of ultrasound is widely recognised due to the presence of abnormal ultrasound parameters that are very intuitive in patients with coronary artery disease and heart failure. However, our study found differences in these parameters between patients with different levels of cardiac function, disease severity, and prognosis. Aiming at this difference, it is necessary to design more detailed schemes and divide more subtle exponential partitions for research in subsequent experiments.



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