BPG is committed to discovery and dissemination of knowledge
Retrospective Study Open Access
Copyright ©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Feb 19, 2026; 16(2): 112193
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.112193
Relationship between echocardiographic indicators, coronary artery lesions, and anxiety in patients with coronary heart disease
Xiao-Yan Wang, Min Zhou, Hai-Lan Zhou, Department of Functional, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People’s Hospital), Suzhou 215200, Jiangsu Province, China
Dan Yao, Ju Zheng, Chong Pang, Department of Cardiovascular Medicine, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People’s Hospital), Suzhou 215200, Jiangsu Province, China
ORCID number: Chong Pang (0009-0000-4226-124X).
Author contributions: Wang XY and Pang C researched and wrote a manuscript; Zhou M, Zhou HL, and Yao D contributed to conceiving the research; Zhou M, Zhou HL, Yao D, Wang XY, and Pang C conducted data analysis; Zheng J provided guidance for the research; all authors reviewed and approved the final manuscript.
Institutional review board statement: This study has been approved by the Ethics Committee of Suzhou Ninth People’s Hospital.
Informed consent statement: Data was de-identified and retrospectively collected, and therefore informed consent was not required from each patient.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Chong Pang, Associate Chief Physician, Department of Cardiovascular Medicine, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People’s Hospital), No. 2666 Ludang Road, Taihu New Town, Wujiang District, Suzhou 215200, Jiangsu Province, China. yffxmpc@163.com
Received: September 3, 2025
Revised: October 16, 2025
Accepted: December 1, 2025
Published online: February 19, 2026
Processing time: 148 Days and 22.4 Hours

Abstract
BACKGROUND

Patients with coronary heart disease (CHD) frequently experience anxiety due to symptoms such as chest pain and tightness. However, it remains unclear whether changes in echocardiographic findings, a routine component of CHD evaluation, are associated with anxiety levels in these patients.

AIM

To investigate the relationship between echocardiographic indicators, coronary artery lesions, and anxiety in patients with CHD.

METHODS

Data from 110 patients with stable CHD were retrospectively collected. Based on coronary angiography findings and Gensini scores used to assess the severity of coronary artery lesions, patients were classified into mild (38 cases), moderate (42 cases), and severe (30 cases) groups. Anxiety levels were assessed using the Self-Rating Anxiety Scale (SAS) at admission, and patients were categorized into no anxiety (16 cases), mild anxiety (31 cases), moderate anxiety (41 cases), and severe anxiety (22 cases) groups. The Cochran-Armitage trend test, Pearson correlation analysis, and multiple linear regression analysis were applied to examine the relationships among echocardiographic indicators, coronary artery disease severity, and anxiety in patients with CHD.

RESULTS

Trend analysis revealed significant linear relationships between the severity of coronary artery lesions, anxiety levels, and echocardiographic parameters in patients with CHD. As the severity of coronary artery lesions and anxiety increased, left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic volume (LVESV), and left ventricular end-diastolic volume (LVEDV) showed an upward trend (P < 0.05), whereas left ventricular ejection fraction (LVEF) exhibited a downward trend (P < 0.05). Pearson correlation analysis revealed that the Gensini score was positively correlated with LVEDD, LVESV, and LVEDV (r = 0.352, r = 0.386, and r = 0.376, respectively; P < 0.05) and negatively correlated with LVEF (r = -0.442; P < 0.05). Similarly, the SAS score was positively correlated with LVEDD, LVESV, and LVEDV (r = 0.279, r = 0.248, r = 0.216, respectively; P < 0.05) and negatively correlated with LVEF (r = -0.218; P < 0.05). Multiple regression analysis showed that, after adjusting for confounding factors, both higher Gensini and SAS scores remained independent risk factors for increased LVEDD, LVESV, and LVEDV and for decreased LVEF in patients with CHD (P < 0.05).

CONCLUSION

Echocardiographic indicators are significantly correlated with both coronary artery lesions and anxiety in patients with CHD. In clinical practice, anxiety assessment and management should be integrated into comprehensive CHD treatment to more effectively improve cardiac function, alleviate symptoms, and improve overall prognosis.

Key Words: Echocardiography; Coronary heart disease; Coronary artery lesion; Anxiety; Correlation

Core Tip: Patients with coronary heart disease often experience pronounced anxiety due to symptoms such as chest tightness and pain. This study demonstrated that echocardiographic indicators are correlated not only with the severity of coronary artery disease but also with patients’ anxiety levels. Integrating anxiety assessment into coronary heart disease management may help improve cardiac function and alleviate symptoms more effectively.



INTRODUCTION

Coronary heart disease (CHD) is primarily caused by coronary artery stenosis or occlusion resulting from atherosclerosis[1]. Coronary angiography (CAG) is considered the gold standard for diagnosing CHD, as it involves injecting a contrast agent into the coronary arteries to visualize stenosis in the main vessels and their branches. However, it is an invasive diagnosis with high examination costs and cannot evaluate the cardiac function. In addition, some patients may be allergic or intolerant to contrast agents, which further limits their clinical applicability. Echocardiography, based on the principle of ultrasound ranging, enables cross-sectional imaging of the heart and major blood vessels to evaluate cardiac structure and function. It is noninvasive, convenient, and suitable for bedside use, making it the preferred imaging modality for patients with CHD in clinical practice[2]. However, a patient’s psychological state may influence the accuracy or effectiveness of echocardiographic evaluation. Numerous studies have shown that patients with CHD frequently experience anxiety[3,4]. Anxiety is a complex psychological and physiological response involving cognitive, emotional, behavioral, and physiological components. Studies have shown that the severity and extent of coronary artery stenosis are closely associated with anxiety[5]. However, the relationship between echocardiographic parameters, coronary artery lesions, and anxiety levels in patients with CHD remains unclear. Therefore, this study analyzed clinical data from 110 patients with CHD to examine these relationships and provide insights for managing anxiety, improving cardiac function, and alleviating symptoms in this patient population.

MATERIALS AND METHODS
Research object

Clinical data from 110 patients with stable CHD were retrospectively collected from the Department of Cardiology, Suzhou Ninth People’s Hospital, between May 2024 and May 2025. According to the CAG findings and Gensini scores at admission, patients were classified into mild (38 cases), moderate (42 cases), and severe (30 cases) coronary artery lesion groups. Based on the Self-Rating Anxiety Scale (SAS) results obtained at admission, patients were further categorized into non-anxiety (16 cases), mild anxiety (31 cases), moderate anxiety (41 cases), and severe anxiety (22 cases) groups. Inclusion criteria were as follows: (1) Met the diagnostic criteria outlined in the “Guidelines for the Diagnosis and Treatment of Stable Coronary Artery Disease”[6] and confirmed by CAG examination; (2) Age ≥ 18 years, with complete clinical data; (3) New York Heart Association (NYHA)[7] cardiac function classification ≤ grade II at admission; and (4) Complete echocardiographic and anxiety assessment results available at admission. Exclusion criteria were as follows: (1) Presence of severe valvular disease or congenital heart disease; (2) Presence of malignant tumors; (3) Presence of pericardial effusion; (4) History of cardiac surgery; (5) Severe liver or kidney dysfunction; (6) Presence of stenosis in the common carotid artery; and (7) Prior treatment with medications such as beta-blockers or antidepressants before admission.

Research methods

Baseline data: Patient’s electronic medical records were reviewed to collect baseline information, including age, gender, smoking history, alcohol consumption, history of myocardial infarction, and NYHA classification at admission.

Ultrasound examination: Echocardiogram reports obtained at patient admission were reviewed to collect echocardiographic parameters. Cardiac ultrasound examinations were performed using the GE Vivid E95 and Philips iU22 diagnostic systems, both equipped with an M5Sc phased-array probe (1.4-4.6 Megahertz). Patients were positioned in the left lateral decubitus position with the anterior chest exposed, and the probe was placed at the third to fifth intercostal spaces on the left side. The following parameters were measured: Left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic volume (LVESV), and left ventricular end-diastolic volume (LVEDV). The left ventricular ejection fraction (LVEF) was calculated accordingly. All measurements were performed by experienced ultrasound physicians in strict accordance with the Chinese Adult Echocardiography Measurement Guidelines[8].

Coronary artery lesions: CAG reports obtained at patient admission were reviewed to obtain information on coronary artery lesions. CAG was performed using the standard Judkins technique through the radial or femoral artery. Each vessel was imaged in at least three projections to evaluate the degree of stenosis in the epicardial coronary arteries and their main branches. The severity of coronary artery lesions was evaluated based on the examination results and the Gensini scoring system[9]. For each lesion, the score was calculated by multiplying the severity score of the stenosis by the weighting factor corresponding to the location of the lesion. The total Gensini score was obtained by summing all lesion scores, with higher scores indicating more severe coronary artery disease. Based on the total Gensini score, lesion severity was classified as mild (< 20 points), moderate (20-50 points), or severe (> 50 points). The specific scoring criteria are presented in Table 1.

Table 1 Gensini score of coronary artery.
Narrowness degree
Rating (points)
Location of lesion
Rating (points)
Complete occlusion32Small coronary artery branches0.5
91%-99%16Left anterior descending distal segment1.0
76%-90%8Right Coronary Artery1.0
51%-75%4Middle or distal segment of the left circumflex branch1.0
26%-50%2Middle segment of the left anterior descending branch1.5
1%-25%1Left anterior descending branch or proximal circumflex branch2.5
-Left main5

Anxiety assessment: Anxiety levels were obtained by reviewing the anxiety questionnaire completed by each patient at admission. The SAS[10] was used to assess anxiety levels in patients with CHD. The SAS includes 20 items, of which 15 are positively worded and 5 are negatively worded. Each item is rated on a 4-point Likert scale (1-4 points). The total score is calculated by summing all item scores, and the standard score is derived by multiplying the total score by 1.25 and rounding to the nearest whole number. Higher scores indicate greater anxiety severity. Scores below 50 indicate no anxiety, scores ranging from 50 to 59 indicate mild anxiety, scores between 60 and 69 indicate moderate anxiety, and scores of 70 or above indicate severe anxiety.

Statistical analysis

Data were analyzed using SPSS version 27.0. Categorical variables were expressed by the number of cases and the composition ratio [n (%)], and group comparisons were performed using the χ2 test. Continuous variables were expressed as mean ± SD, and differences among multiple groups were tested using one-way analysis of variance (F-test). The Cochran-Armitage test was applied to analyze trends in echocardiographic indicators across varying degrees of coronary artery disease and anxiety levels. Pearson correlation analysis was conducted to examine the relationships among the Gensini score, SAS score, and echocardiographic parameters. Multiple linear regression analysis was used to evaluate the effects of the Gensini and SAS scores on echocardiographic indicators in patients with CHD. A P value < 0.05 was considered statistically significant.

RESULTS
Comparison of baseline data

There were no significant differences in age, gender, smoking history, alcohol consumption history, history of myocardial infarction, or NYHA classification among the mild, moderate, and severe coronary artery lesion groups (P > 0.05; Table 2). Similarly, no significant differences were observed in these variables among the non-anxious, mild anxiety, moderate anxiety, and severe anxiety (P > 0.05) groups (Table 3).

Table 2 Comparison of baseline data in different coronary artery disease groups.
Baseline information
Mild group (n = 38)
Moderate group (n = 42)
Severe group (n = 30)
F/χ2 value
P value
Age (years)56.12 ± 10.6457.43 ± 11.6157.62 ± 11.940.1880.829
Gender0.0890.957
Male25 (65.79)28 (66.67)19 (63.33)
Female13 (34.21)14 (33.33)11 (36.67)
With a history of smoking18 (47.37)16 (38.10)14 (46.67)0.8520.653
With a history of drinking 17 (44.74)19 (45.24)17 (56.67)1.1910.551
History of myocardial infarction3 (7.89) 6 (14.29) 7 (23.33) 3.2180.201
NYHA classification5.3410.069
≤ Grade I33 (86.84) 33 (78.57) 19 (63.33)
GradeⅡ5 (13.16) 9 (21.43) 11 (36.67)
Table 3 Comparison of baseline data of different anxiety groups.
Baseline information
No-anxious group (n = 16)
Mild anxiety group (n = 31)
Moderate anxiety group (n = 41)
Severe anxiety group (n = 22)
F/χ2 value
P value
Age (years)57.02 ± 9.6457.42 ± 10.6157.50 ± 11.8455.61 ± 9.240.1690.917
Gender0.8170.845
Male10 (62.50)19 (61.29)27 (65.85) 16 (72.73)
Female6 (37.50)12 (38.71)14 (34.15)6 (27.27)
With a history of smoking7 (43.75)14 (45.16)20 (48.78)7 (31.82)1.7200.633
With a history of drinking 8 (50.00)16 (51.61)19 (46.34)10 (45.45)0.2890.962
History of myocardial infarction0 (0.00) 4 (12.90) 7 (17.07) 5 (22.73) 4.1860.242
NYHA classification3.4970.321
≤ Grade I14 (87.50) 25 (80.65) 32 (78.05) 14 (63.64)
GradeⅡ2 (12.50) 6 (19.35) 9 (21.95) 8 (36.36)
Comparison of echocardiographic indexes among coronary artery disease groups

Significant differences were observed in LVEDD, LVESV, LVEDV, and LVEF levels among patients with varying degrees of coronary artery disease (P < 0.05; Table 4). The Cochran-Armitage trend test revealed a linear relationship between the severity of coronary artery lesions and echocardiographic parameters. As the severity of coronary artery lesions increased, LVEDD, LVESV, and LVEDV values increased (Z = 2.432, Z = 2.785, and Z = 3.905, respectively; P < 0.05), whereas LVEF decreased (Z = -2.869; P < 0.05). The trends of these changes are illustrated in Figure 1A.

Figure 1
Figure 1 Trends in echocardiographic parameters in patients. A: Trends in echocardiographic parameters in patients with different coronary artery disease severity; B: Trends in echocardiographic parameters in patients with different anxiety severity levels. LVEDD: Left ventricular end-diastolic diameter; LVEDV: Left ventricular end-diastolic volume; LVESV: Left ventricular end-systolic volume; LVEF: Left ventricular ejection fraction.
Table 4 Comparison of echocardiographic indexes in different coronary artery disease groups.
Group
n
LVEDD (mm)
LVESV (mL)
LVEDV (mL)
LVEF (%)
Mild group3849.32 ± 3.5145.25 ± 2.98118.67 ± 5.0956.18 ± 4.27
Moderate group4257.19 ± 3.4855.27 ± 3.24131.51 ± 6.9347.42 ± 3.53
Severe group3060.54 ± 3.7369.69 ± 3.93157.84 ± 6.7240.73 ± 2.19
F value92.011444.601331.202165.603
P value< 0.001< 0.001< 0.001< 0.001
Comparison of echocardiographic indicators across anxiety groups

Significant differences were observed in LVEDD, LVESV, LVEDV, and LVEF levels among patients with different anxiety levels (P < 0.05; Table 5). The Cochran-Armitage trend test revealed a linear relationship between anxiety severity and echocardiographic parameters. As anxiety severity increased, LVEDD, LVESV, and LVEDV values increased (Z = 2.396, Z = 2.795, and Z = 3.898, respectively; P < 0.05), while LVEF decreased (Z = -2.853; P < 0.05). The trends of these changes are illustrated in Figure 1B.

Table 5 Comparison of echocardiographic indicators in different anxiety groups.
Group
n
LVEDD (mm)
LVESV (mL)
LVEDV (mL)
LVEF (%)
No-anxious group1647.87 ± 2.8244.19 ± 2.52117.84 ± 4.8558.76 ± 6.24
Mild anxiety group3151.43 ± 3.2149.87 ± 3.38125.36 ± 6.4250.38 ± 5.75
Moderate anxiety group4157.21 ± 3.4856.48 ± 3.52135.23 ± 7.0346.41 ± 4.82
Severe anxiety group2263.02 ± 3.8171.04 ± 3.93156.91 ± 6.9242.89 ± 1.94
F value81.470235.201139.80136.420
P value< 0.001< 0.001< 0.001< 0.001
Correlation between coronary artery lesions and echocardiographic indicators in patients with CHD

The Gensini score of coronary artery lesions in patients with CHD was positively correlated with LVEDD, LVESV, and LVEDV (r = 0.352, r = 0.386, and r = 0.376, respectively; all P < 0.05) and negatively correlated with LVEF (r = -0.442; P < 0.05; Figure 2).

Figure 2
Figure 2 Correlation analysis of coronary artery lesions in patients with coronary heart disease and echocardiographic indicators. A: Correlation analysis of Gensini score and left ventricular end-diastolic diameter; B: Correlation analysis of Gensini score and left ventricular end-systolic volume; C: Correlation analysis of Gensini score and left ventricular end-diastolic volume; D: Correlation analysis of Gensini score and left ventricular ejection fraction. LVEDD: Left ventricular end-diastolic diameter; LVEDV: Left ventricular end-diastolic volume; LVESV: Left ventricular end-systolic volume; LVEF: Left ventricular ejection fraction.
Correlation between anxiety levels and echocardiographic indicators in patients with CHD

The SAS score was positively correlated with LVEDD, LVESV, and LVEDV (r = 0.279, r = 0.248, and r = 0.216, respectively; all P < 0.05) and negatively correlated with LVEF (r = -0.218; P < 0.05; Figure 3).

Figure 3
Figure 3 Correlation analysis of anxiety levels in patients with coronary heart disease and echocardiographic indicators. A: Correlation analysis of Self-Rating Anxiety Scale (SAS) score and left ventricular end-diastolic diameter; B: Correlation analysis of SAS score and left ventricular end-systolic volume; C: Correlation analysis of SAS score and left ventricular end-diastolic volume; D: Correlation analysis of SAS score and left ventricular ejection fraction. LVEDD: Left ventricular end-diastolic diameter; LVEDV: Left ventricular end-diastolic volume; LVESV: Left ventricular end-systolic volume; LVEF: Left ventricular ejection fraction; SAS: Self-Rating Anxiety Scale.
Multiple regression analysis of echocardiographic indicators in patients with CHD

A multiple regression analysis was performed using changes in echocardiographic parameters as dependent variables, including increased LVEDD (0 = No, 1 = Yes; normal clinical range: 35-55 mm), increased LVESV (0 = No, 1 = Yes; normal clinical range: 0-50 mL), increased LVEDV (0 = No, 1 = Yes; normal clinical range: 75-160 mL), and decreased LVEF (0 = No, 1 = Yes; normal clinical range: 55%-75%). After adjusting for confounding factors such as age, gender, smoking history, alcohol consumption history, myocardial infarction history, and NYHA classification, the results showed that both the Gensini and SAS scores were independent risk factors for increased LVEDD, LVESV, and LVEDV, as well as decreased LVEF in patients with CHD (P < 0.05; Table 6).

Table 6 Multiple regression analysis results of echocardiography indicators affecting coronary heart disease patients.
Project
Model1
Model2
β
95%CI
P value
β
95%CI
P value
LVEDD
Gensini score0.3480.205-0.4560.0180.3350.1730.4300.023
SAS score0.2250.128-0.5190.0290.2030.0910.4250.032
LVESV
Gensini score0.3170.199-0.6260.0210.2650.1630.5450.024
SAS score0.2390.158-0.4530.0170.1940.118-0.4370.026
LVEDV
Gensini score0.3590.149-0.6260.0280.3940.182-0.7290.014
SAS score0.2670.102-0. 4640.0240.1780.053-0.4150.033
LVEF
Gensini score-0.094-0.283 to - 0.0540.038-0.079-0.274 to -0.0530.044
SAS score-0.126-0.325 to - 0.0340.042-0.058-0.186 to -0.0250.047
DISCUSSION

Patients with CHD generally experience anxiety and other negative emotions during the examination process. These emotional responses may arise from various factors, such as the patients’ uncertainty about their condition due to non-specific symptoms such as chest tightness and pain[11], or psychological stress related to concerns about CHD prognosis[12]. CAG and echocardiography are commonly used for clinical evaluation of CHD. Previous studies have shown that anxiety and depression can affect the accuracy and effectiveness of CAG examinations[13-15]. However, limited research has examined the relationship between echocardiographic indicators and negative emotions in patients with CHD. Therefore, when analyzing the relationship between echocardiographic parameters and coronary artery disease, it is also important to explore their relationship with patients’ emotional states.

CAG requires the injection of a contrast agent and X-ray imaging, which exposes patients to radiation. In contrast, echocardiography offers a noninvasive, radiation-free, and convenient alternative for visually assessing cardiac structures, including vascular features and valve morphology. Parlavecchio et al[16] reported that echocardiography demonstrates high accuracy and specificity in diagnosing coronary artery lesions. In patients with CHD, increased LVEDD indicates chronic dilation of the left ventricle; elevated LVESV and LVEDV reflect a decline in systolic functional reserve; and decreased LVEF suggests impaired systolic function of the left ventricle. This study found significant differences in LVEDD, LVESV, LVEDV, and LVEF across groups with varying severities of coronary artery lesions. As lesion severity increased, LVEDD, LVESV, and LVEDV values increased significantly, while LVEF decreased. These findings may be attributed to the ability of echocardiography to evaluate cardiac structure, function, and blood flow[17] and to effectively detect myocardial ischemia and valvular dysfunction[18]. This study also found that the Gensini score of patients with CHD was positively correlated with LVEDD, LVESV, and LVEDV and negatively correlated with LVEF. After adjusting for confounding factors, a higher Gensini score remained an independent risk factor for increased LVEDD, LVESV, and LVEDV values and for decreased LVEF. The underlying mechanism may involve reduced myocardial blood flow due to coronary artery stenosis. To maintain adequate cardiac output - particularly under increased preload - the heart compensates by expanding the ventricular cavity (increasing LVEDV) to enhance contractility through the length-tension relationship. Additionally, ischemia-induced ventricular dilation occurs as the ventricle expands under pressure, prompting the non-ischemic myocardium to undergo eccentric hypertrophy to preserve stroke volume. This process leads to an overall enlargement of the ventricular cavity, reflected by increased LVEDD and LVEDV. Chronic hypoperfusion from sustained stenosis further promotes cardiac remodelling and myocardial damage, ultimately impairing cardiac function and reducing LVEF.

Multiple studies have confirmed that anxiety levels in patients with CHD are significantly higher than those in the general population[19-21]. CHD accompanied by anxiety is often associated with more pronounced cardiac structural remodelling (e.g., increased LVEDD and LVEDV) and functional decline (e.g., decreased LVEF)[22], as well as poorer prognoses (including higher rates of rehospitalization and mortality). This study found significant differences in LVEDD, LVESV, LVEDV, and LVEF among patients with CHD experiencing different levels of anxiety. As anxiety increased, LVEDD, LVESV, and LVEDV values increased, while LVEF decreased. Anxiety, as a negative emotional state, can disrupt the balance of autonomic nerve function through neurohumoral regulation or the adrenal axis. Persistent sympathetic activation leads to excessive release of catecholamines (adrenaline and noradrenaline), resulting in increased heart rate, blood pressure, and cardiac workload. For patients with severe anxiety, dysregulation of cardiovascular reflexes involving pressure receptors, chemical receptors, and cardiopulmonary receptors can cause an imbalance in the autonomic nervous system, leading to changes in heart rhythm disturbances. These changes increase cardiac workload and contribute to declining cardiac function. These findings suggest that the anxiety in patients with CHD may influence echocardiographic parameters. Spyra et al[23] reported correlations between mental disorders, including anxiety and depression, and echocardiographic measures. Ma et al[24] found a negative correlation between LVEF and anxiety in patients with heart failure, indirectly supporting the present results. This study further showed that the SAS score in patients with CHD was negatively correlated with LVEF and positively correlated with LVEDD, LVESV, and LVEDV. After adjusting for confounding factors, a higher SAS score remained an independent risk factor for increased LVEDD, LVESV, and LVEDV, as well as decreased LVEF. The underlying mechanism may involve anxiety-induced sympathetic activation, hypothalamic-pituitary-adrenal axis dysfunction, and systemic inflammatory responses[25], which increase cardiac workload and promote ventricular remodelling, resulting in detectable structural and functional changes on echocardiography. The underlying mechanism may involve several pathways. First, anxiety induces sustained sympathetic activity, increasing cardiac workload, accelerating heart rate, and elevating blood pressure, which impairs ventricular relaxation and reduces both contractile and diastolic function. Anxiety also disrupts the hypothalamic-pituitary-adrenal axis function, resulting in increased cortisol levels, immune imbalance, and inflammatory responses. These changes impair vascular endothelial function, reduce vasodilation, compromise cardiac perfusion, and ultimately contribute to ventricular remodelling and systolic dysfunction. Second, CHD inherently involves structural cardiac changes. When combined with anxiety, this can exacerbate ventricular remodelling - manifested as increased LVEDD, LVESV, and LVEDV - and further impair cardiac function, reflected by reduced LVEF[26]. Additionally, symptoms arising from CHD-related structural changes, along with concerns about disease progression and decreased quality of life, may further worsen anxiety. These findings highlight the importance for clinicians to consider the close relationship between anxiety and echocardiographic indicators of ventricular remodelling and cardiac function in patients with CHD. Anxiety not only contributes to ventricular remodelling and impaired cardiac function in patients with CHD but also influences adverse clinical outcomes. Therefore, in clinical practice, assessment and management of psychological and social factors - especially anxiety - should be integrated into comprehensive CHD treatment to improve cardiac structure and function, alleviate symptoms, and enhance prognosis. A recommended approach includes the following: Routine anxiety screening at admission (using anxiety scale assessments), risk stratification, integration of objective findings (echocardiographic parameters) with subjective symptoms (e.g., chest tightness and palpitations), and clinician-patient discussions to guide interventions. These interventions may include stress management education, promotion of physical activity, mindfulness and breathing exercises, and other psychologically oriented strategies aligned with patient-centred care.

This study had several limitations. First, this study used a retrospective cross-sectional design, collecting data at a single time point or over a short period, which limits the ability to infer causal relationships and only allows identification of associations. Second, data were collected from a single centre with a relatively small sample size. Future research should involve multicenter, prospective studies with larger populations to validate and expand these findings.

CONCLUSION

Echocardiographic indicators are significantly associated with coronary artery lesions and anxiety in patients with CHD. When using echocardiography as a noninvasive tool to guide clinical management, clinicians should consider the influence of patient anxiety on echocardiographic measurements. Therefore, it is recommended to take measures to alleviate anxiety in order to improve the accuracy of clinical treatment guided by echocardiography.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Psychology

Country of origin: China

Peer-review report’s classification

Scientific Quality: Grade B, Grade C

Novelty: Grade B, Grade C

Creativity or Innovation: Grade B, Grade B

Scientific Significance: Grade C, Grade C

P-Reviewer: Anicich EM, PhD, United States; Swami V, Assistant Professor, Poland S-Editor: Bai SR L-Editor: A P-Editor: Yu HG

References
1.  Song Y, Dang Y, Wang P, Tian G, Ruan L. CHD is Associated With Higher Grades of NAFLD Predicted by Liver Stiffness. J Clin Gastroenterol. 2020;54:271-277.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 11]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
2.  Chamsi-Pasha MA, Sengupta PP, Zoghbi WA. Handheld Echocardiography: Current State and Future Perspectives. Circulation. 2017;136:2178-2188.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 71]  [Cited by in RCA: 111]  [Article Influence: 12.3]  [Reference Citation Analysis (0)]
3.  Farquhar JM, Stonerock GL, Blumenthal JA. Treatment of Anxiety in Patients With Coronary Heart Disease: A Systematic Review. Psychosomatics. 2018;59:318-332.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 22]  [Cited by in RCA: 23]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
4.  Zhou Y, Zhu XP, Shi JJ, Yuan GZ, Yao ZA, Chu YG, Shi S, Jia QL, Chen T, Hu YH. Coronary Heart Disease and Depression or Anxiety: A Bibliometric Analysis. Front Psychol. 2021;12:669000.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 6]  [Cited by in RCA: 33]  [Article Influence: 6.6]  [Reference Citation Analysis (0)]
5.  Das DR, Nayak MR, Mohapatra D, Mahanta D. Association of Anxiety and Depression in Patients Undergoing Cardiac Catheterization With Number of Major Coronary Artery Stenosis: A Cross-Sectional Study. Cureus. 2022;14:e21630.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
6.  Section of Interventional Cardiology of Chinese Society of Cardiology; Section of Atherosclerosis and Coronary Artery Disease of Chinese Society of Cardiology;  Specialty Committee on Prevention and Treatment of Thrombosis of Chinese College of Cardiovascular Physicians. [Guideline on the diagnosis and treatment of stable coronary artery disease]. Zhonghua Xin Xue Guan Bing Za Zhi. 2018;46:680-694.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 23]  [Reference Citation Analysis (0)]
7.  Bredy C, Ministeri M, Kempny A, Alonso-Gonzalez R, Swan L, Uebing A, Diller GP, Gatzoulis MA, Dimopoulos K. New York Heart Association (NYHA) classification in adults with congenital heart disease: relation to objective measures of exercise and outcome. Eur Heart J Qual Care Clin Outcomes. 2018;4:51-58.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 75]  [Cited by in RCA: 131]  [Article Influence: 18.7]  [Reference Citation Analysis (0)]
8.  Yao GH, Zhang M, Yin LX, Zhang C, Xu MJ, Deng Y, Liu Y, Deng YB, Ren WD, Li ZA, Tang H, Zhang QB, Mu YM, Fang LG, Zhang Y; Echocardiographic Measurements in Normal Chinese Adults (EMINCA) Study Investigators. Doppler Echocardiographic Measurements in Normal Chinese Adults (EMINCA): a prospective, nationwide, and multicentre study. Eur Heart J Cardiovasc Imaging. 2016;17:512-522.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 37]  [Cited by in RCA: 38]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
9.  Gensini GG. A more meaningful scoring system for determining the severity of coronary heart disease. Am J Cardiol. 1983;51:606.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1273]  [Cited by in RCA: 1543]  [Article Influence: 35.9]  [Reference Citation Analysis (0)]
10.  Zung WW. A rating instrument for anxiety disorders. Psychosomatics. 1971;12:371-379.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2251]  [Cited by in RCA: 2925]  [Article Influence: 53.2]  [Reference Citation Analysis (1)]
11.  Forshaw KL, Boyes AW, Carey ML, Hall AE, Symonds M, Brown S, Sanson-Fisher RW. Raised Anxiety Levels Among Outpatients Preparing to Undergo a Medical Imaging Procedure: Prevalence and Correlates. J Am Coll Radiol. 2018;15:630-638.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 11]  [Cited by in RCA: 38]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
12.  Fakes K, Boyes A, Hall A, Carey M, Leigh L, Brown S, Sanson-Fisher R. Trajectories and Predictors of Raised State Anxiety Among Outpatients Who Have Undergone Medical Imaging Procedures. J Am Coll Radiol. 2024;21:285-294.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 6]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
13.  Salari A, Ashouri A, Javadzadeh Moghtader A, Ahmadnia Z, Alizadeh I. The Relationship between Depression Symptoms and Severity of Coronary Artery Disease in Patients Undergoing Angiography. Iran J Psychiatry. 2020;15:370-376.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
14.  Safaei M, Mahdavi A, Mehdipour-Rabori R. Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care. BMC Med Inform Decis Mak. 2024;24:292.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
15.  Ozdemir PG, Selvi Y, Boysan M, Ozdemir M, Akdağ S, Ozturk F. Relationships between coronary angiography, mood, anxiety and insomnia. Psychiatry Res. 2015;228:355-362.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 10]  [Cited by in RCA: 14]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
16.  Parlavecchio A, Vetta G, Caminiti R, Ajello M, Magnocavallo M, Vetta F, Foti R, Crea P, Micari A, Carerj S, Della Rocca DG, Di Bella G, Zito C. Which is the best Myocardial Work index for the prediction of coronary artery disease? A data meta-analysis. Echocardiography. 2023;40:217-226.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 12]  [Cited by in RCA: 7]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
17.  Peiró ÓM, Ferrero M, Romeu A, Carrasquer A, Bonet G, Mohandes M, Pernigotti A, Bardají A. Performance of Coronary Angiography in the Detection of Coronary Artery Disease in Patients with Systolic Left Ventricular Dysfunction and No Prior Ischemic Heart Disease. J Clin Med. 2022;11:1097.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
18.  G S, Gopalakrishnan U, Parthinarupothi RK, Madathil T. Deep learning supported echocardiogram analysis: A comprehensive review. Artif Intell Med. 2024;151:102866.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
19.  Liu Q, Wang M, Wang H, Xie H, Han J, Chen J, Yu P, Shen L, Li Y, Tian R, Chen X. Xinkeshu for coronary heart disease complicated with anxiety or depression: A meta-analysis of randomized controlled trials. J Ethnopharmacol. 2023;312:116486.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
20.  Wang B, Teng Y, Li Y, Lai S, Wu Y, Chen S, Li T, Han X, Zhou H, Wang Y, Lu Z, Li H, Ding Y, Ma L, Zhao M, Wang X. Evidence and Characteristics of Traditional Chinese Medicine for Coronary Heart Disease Patients With Anxiety or Depression: A Meta-Analysis and Systematic Review. Front Pharmacol. 2022;13:854292.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
21.  Yu H, Li X, Ning B, Feng L, Ren Y, Li S, Kang Y, Ma J, Zhao M. SIRT1: a potential therapeutic target for coronary heart disease combined with anxiety or depression. J Drug Target. 2025;33:328-340.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
22.  Bai B, Yin H, Wang H, Liu F, Liang Y, Liu A, Guo L, Ma H, Geng Q. The combined effects of depression or anxiety with high-sensitivity C-reactive protein in predicting the prognosis of coronary heart disease patients. BMC Psychiatry. 2024;24:717.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
23.  Spyra A, Sierpińska A, Suchodolski A, Florek S, Szulik M. Echocardiography with Strain Assessment in Psychiatric Diseases: A Narrative Review. Diagnostics (Basel). 2025;15:239.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
24.  Ma Q, Zhang FB, Yao ES, Pan S. Neutrophilic granulocyte percentage is associated with anxiety in Chinese hospitalized heart failure patients. BMC Cardiovasc Disord. 2022;22:494.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
25.  Belialov FI. [Depression, anxiety, and stress in patients with coronary heart disease]. Ter Arkh. 2017;89:104-109.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 27]  [Cited by in RCA: 10]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
26.  Tuo Ya SR, Lei YY, Bao LX, Cui XS. Effects of nursing intervention based on a positive motivational model on cardiac function, self-management and quality of life in elderly patients with coronary heart disease. Eur Rev Med Pharmacol Sci. 2023;27:7977-7987.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]