Depression and coronary heart disease: mechanisms, interventions, and treatments

Xu, Linjie; Zhai, Xu; Shi, Dazhuo; Zhang, Ying

doi:10.3389/fpsyt.2024.1328048

Cited by 4 publications

(3 citation statements)

References 118 publications

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“…A hyperfunction of the HPA axis can also alter cardiac autonomic function with sympathetic overactivation and parasympathetic hypofunction. This imbalance of the cardiac autonomic function may result in an increased heart rate, an increased myocardial contractility, and an increased myocardial oxygen consumption, which finally makes the heart more susceptible to malignant cardiac arrhythmias [ 11 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

“…The aim of this study was to compare the responses of the ANS in patients with MDD to challenges that stimulated the sympathetic and, respectively, the parasympathetic nervous systems. Due to the bidirectional relationship between MDD and CHD, given that MDD is a relevant risk factor for CHD and that patients with CHD and MDD often showed a more pronounced affection for the ANS than CHD patients without MDD [ 9 , 11 ], we focused on patients with MDD without known CHD.…”

Section: Introductionmentioning

confidence: 99%

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Impaired Modulation of the Autonomic Nervous System in Adult Patients with Major Depressive Disorder

Böttcher,

Schreiber,

Wozniak

et al. 2024

Biomedicines

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Patients with major depressive disorder (MDD) have an increased risk for cardiac events. This is partly attributed to a disbalance of the autonomic nervous system (ANS) indicated by a reduced vagal tone and a (relative) sympathetic hyperactivity. However, in most studies, heart rate variability (HRV) was only examined while resting. So far, it remains unclear whether the dysbalance of the ANS in patients with MDD is restricted to resting or whether it is also evident during sympathetic and parasympathetic activation. The aim of this study was to compare the responses of the ANS to challenges that stimulated the sympathetic and, respectively, the parasympathetic nervous systems in patients with MDD. Forty-six patients with MDD (female 27 (58.7%), mean age 44 ± 17 years) and 46 healthy controls (female 26 (56.5%), mean age 44 ± 20 years) underwent measurement of time- and frequency-dependent domains of HRV at rest, while standing (sympathetic challenge), and during slow-paced breathing (SPB, vagal, i.e., parasympathetic challenge). Patients with MDD showed a higher heart rate, a reduced HRV, and a diminished vagal tone during resting, standing, and SPB compared to controls. Patients with MDD and controls responded similarly to sympathetic and vagal activation. However, the extent of modulation of the ANS was impaired in patients with MDD, who showed a reduced decrease in the vagal tone but also a reduced increase in sympathetic activity when switching from resting to standing. Assessing changes in the ANS during sympathetic and vagal activation via respective challenges might serve as a future biomarker and help to allocate patients with MDD to therapies like HRV biofeedback and psychotherapy that were recently found to modulate the vagal tone.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impaired Modulation of the Autonomic Nervous System in Adult Patients with Major Depressive Disorder

Böttcher,

Schreiber,

Wozniak

et al. 2024

Biomedicines

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“…The studies conducted by Xu et al (2024) and Lin et al (2017) revealed the positive relationship between type D personality and increased depressive and anxiety symptoms among heart patients. In accordance with traditional risk factors, psychological factors have been shown as predictors of harmful heart disease outcomes.…”

Section: Introductionmentioning

confidence: 96%

Type D Personality and Psychological Distress: A Correlational Study among Coronary Heart Disease Patients

Batool,

Mubeen,

Halim

et al. 2024

QJSSH

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The study aimed to explore the relationship between type D personality and psychological distress in coronary heart disease patients. It was proposed that people having type D personality are more likely to have psychological distress, which ultimately leads to coronary heart disease. One hundred fifty heart disease patients were included in the test of the hypotheses. There were 90 men and 60 women aged 45 years and above from different heart disease hospitals took part in the study. For data collection, along with the consent form and demographics sheet, Two scales were used i-e., A 14-item Type D Personality Scale was used to measure the Type D Personality, and a 10-item Psychological Distress Scale was used to assess the Psychological Distress among the selected sample. Statistical analysis showed that there is a significant relationship between type D personality and psychological distress among coronary heart patients. Furthermore, results also revealed that there were no significant differences found among men and women developing heart diseases in relation to type D personality and psychological distress. Heart diseases are increasing day by day, and they are reported as the “leading cause of death” all over the world. The current research focused on the association of type D personality and psychological distress among heart patients to highlight that both of these variables prevailed among the chosen sample.

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Blood Vessels Disease Detection of Coronary Angiography Images using Deep learning Model

Osama,

Kumar,

Shahid

2024

Preprint

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Presently Coronary artery disease, often caused by the narrowing of the coronary artery lumen due to atherosclerosis, is a leading cause of death. Coronary angiography also known as cardiac catheterization or X-ray angiography, is a medical procedure that uses X-ray imaging to visualize the coronary arteries, which supply blood to the heart muscle. X-ray angiography is procedure to assess the blood flow through these arteries and to identify any blockages or abnormalities. The accuracy of X-ray angiography depends on the quality of the imaging equipment as well as experience and expertise of the radiologist. Poor image quality could affect the accurate diagnosis of coronary arteries. Manual interpretation of angiography images is subjective and time consuming. In some cases, small or diffuse blockages may not be easily visible, and additional imaging techniques may be required. Therefore, early automated detection of blockage of heart vessels became necessary for detection and diagnosis. The artificial intelligence algorithms could play a vital role in this area. In this paper, a deep-learning based algorithm has been used for recognition of blockage in coronary angiographic visuals. Here, we proposed deep learning (YOLOv8) models for the detection of blockage into blood vessels coronary angiography images. In this experiment about 1934 labelled X-ray angiography images has been used from Mendeley. For Experimentation purpose, images are preprocessed and augmented. Total 80% images have been used for training and 20% images has been used for testing. The experimental results show that the measuring metrices of proposed model for detection of blood vessels blockage area in rectangular box. The performance of model represented by predicted value of Precision, recall, mean average precision (mAP) and F1 score are, 99.4%, 100%, 99.5% and 99.7% respectively.

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Depression and coronary heart disease: mechanisms, interventions, and treatments

Cited by 4 publications

References 118 publications

Impaired Modulation of the Autonomic Nervous System in Adult Patients with Major Depressive Disorder

Impaired Modulation of the Autonomic Nervous System in Adult Patients with Major Depressive Disorder

Type D Personality and Psychological Distress: A Correlational Study among Coronary Heart Disease Patients

Blood Vessels Disease Detection of Coronary Angiography Images using Deep learning Model

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