Neuropsychological Sequelae of Coronary Heart Disease in Women: A Systematic Review

Prevalence and predictors of coronary heart disease among individuals with and without obesity in North Dakota

INTRODUCTION

Coronary heart disease (CHD) is the most common cardiovascular disease in the United States and heart disease is the leading cause of death in North Dakota. Although obesity is a major risk factor for CHD, some studies have reported an inverse relationship between body mass index (BMI) and CHD outcomes. Understanding the epidemiology of CHD among individuals with and without obesity is essential to guide health planning. Therefore, the objectives of this study were to estimate the prevalence and identify predictors of CHD among North Dakota adults with and without obesity.

METHODS

Behavioral Risk Factor Surveillance System data from 2017 to 2021 were provided by the North Dakota Department of Health and Human Services. Weighted prevalence estimates and 95% confidence intervals (CIs) were computed for CHD and potential risk factors among respondents with and without obesity (BMI ≥30 kg/m2). Multivariable logistic regression was used to identify significant predictors of CHD in both groups.

RESULTS

A total of 17,092 respondents were included in the study. Respondents with obesity had a higher prevalence of CHD (4.7%, 95% CI: 4.2-5.4) than those without obesity (3.0%, 95% CI: 2.7-3.4). Predictors of CHD among both groups included age, sex, self-reported general health, high blood pressure, high cholesterol, chronic obstructive pulmonary disease, and diabetes. Having a personal doctor (Odds Ratio [OR] = 1.91, 95% CI: 1.13-3.23) and arthritis (OR = 1.72, 95% CI: 1.34-2.22) were significant predictors of CHD among respondents without obesity, but not among those without obesity.

CONCLUSION

While the prevalence of CHD was significantly higher among adults with obesity compared to those without obesity, the findings of the stratified analysis indicated that predictors of the condition tended to be similar for the two groups. This study provides useful information to guide health planning and control programs that aim to reduce the burden of CHD in North Dakota.

Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart Disease

Early non-invasive diagnosis of coronary heart disease (CHD) is critical. However, it is challenging to achieve accurate CHD diagnosis via detecting breath. In this work, heterostructured complexes of black phosphorus (BP) and two-dimensional carbide and nitride (MXene) with high gas sensitivity and photo responsiveness were formulated using a self-assembly strategy. A light-activated virtual sensor array (LAVSA) based on BP/Ti3C2Tx was prepared under photomodulation and further assembled into an instant gas sensing platform (IGSP). In addition, a machine learning (ML) algorithm was introduced to help the IGSP detect and recognize the signals of breath samples to diagnose CHD. Due to the synergistic effect of BP and Ti3C2Tx as well as photo excitation, the synthesized heterostructured complexes exhibited higher performance than pristine Ti3C2Tx, with a response value 26% higher than that of pristine Ti3C2Tx. In addition, with the help of a pattern recognition algorithm, LAVSA successfully detected and identified 15 odor molecules affiliated with alcohols, ketones, aldehydes, esters, and acids. Meanwhile, with the assistance of ML, the IGSP achieved 69.2% accuracy in detecting the breath odor of 45 volunteers from healthy people and CHD patients. In conclusion, an immediate, low-cost, and accurate prototype was designed and fabricated for the noninvasive diagnosis of CHD, which provided a generalized solution for diagnosing other diseases and other more complex application scenarios.

A randomised controlled trial assessing the effects of weather sensitivity profile and walking in nature on the psychophysiological response to stress in individuals with coronary artery disease. A study protocol

BACKGROUND

The following protocol pertains to a pioneer study, aiming to investigate how weather sensitivity and walking in different environments affects the psychophysiological responses to the stress of individuals with coronary artery disease (CAD) during rehabilitation (WE_SENSE_THE_NATURE). This randomised control trial will provide fresh insight on the influence of the environmental exposure in CAD patients, as it is seldom investigated in association to the disease. Additionally, findings on the link between personality traits and cognitive functions (especially cognitive flexibility), and weather sensitivity may help reveal a fine-grained perspective on the treatment possibilities for individuals with CAD at risk to stress-vulnerability.

METHODS

The proposed protocol is for a randomised control trial among individuals attending a cardiac rehabilitation program. We aim to recruit 164 individuals, collecting information related to demographic characteristics, weather sensitivity, functional capacity, personality traits, subjective mental health status, cognitive function, and basal cortisol level of participating individuals. Basal cortisol level refers to cortisol concentration in saliva and will be tested in the morning and the afternoon prior to the day of the experiment. After baseline measurements, the patients will be randomly assigned to either walking outdoors or walking indoors. All measures and their sequential order will remain the same within each group, while the treatment condition (i.e., walking environment) will vary between groups. On the day of the experiment, hemodynamic parameters (assessed via 6-hour blood pressure measurements), stress level (consisting of assessments of cortisol level), and mood (assessed using visual analogues scale) will be registered. Cold stress test will be administered to evaluate the effect of walking in different environments.

DISCUSSION

The outcomes of this study may have direct clinical applications for the use of different types of exercise environments in cardiac rehabilitation programs. Awareness about the potential influence of weather sensitivity on the psychophysiological reactions to stress in individuals with CAD may contribute to a timely planning and implementation of actions leading to improved medical care services and preventive measures, especially considering the expected weather oscillations and extreme weather events due to unfolding of the climate change.

TRIAL REGISTRATION

This protocol has been retrospectively registered in ClinicalTrials.gov with identifier code: NCT06139705 on November 20, 2023.

Women with Myocardial Infarction Present Subtle Cognitive Difficulties on a Neuropsychological Battery After Exposure to a Social Stressor

Objective

Myocardial infarction (MI) is the primary cause of mortality and morbidity in women, but its sequelae remain largely understudied. Given the heart-brain relationship, our study aimed to further understand stress's impact on regulating cognitive function post-MI. Specifically, our study evaluated the effect of stress induced using the Trier Social Stress Test (TSST), on neuropsychological function in women who have or have not experienced MI.

Methodology

To do so, women (mean age = 59.41 yrs) with (WHx_MI = 13) or without () a history of MI were exposed to the TSST prior to completion of a series of standardized neuropsychological tests: the Montreal Cognitive Assessment (MoCA), Control Oral Word Association (COWA), Rey Complex Figure and Recognition (RCFT), Trail Making Test (TMT), and Auditory Consonant Triagrams (ACT).

Results

Our findings support MI to be associated with impairments in working memory affecting immediate recall of ACT, as well as visuospatial impairments in the RCFT copy trial, marked by poorer drawing accuracy and incorrect placement of figure elements. Overall, WHx_MI required more time to complete the neuropsychological assessment (WHx_MI 166.57 ± 12, 155.00 ± 6.57; p < 0.01).

Conclusion

Together, these findings support cognitive impairments noted following a social stressor to remain subtle in WHx_MI. Our study highlights the need for the development of more sensitive tools to screen for neuropsychological impairments in women with MI and the importance of assessing performance in a variety of testing conditions.

Effect of CICARE Communication Mode on Disease Uncertainty, Self-Nursing Ability, and Quality of Life in Patients with Coronary Atherosclerotic Heart Disease after Percutaneous Coronary Intervention

Objective

To study the effect of CICARE (Connect, Introduce, Communicate, Ask, Respond, Exit) communication mode on disease uncertainty, self-nursing ability, and quality of life in patients with coronary atherosclerotic heart disease (CAD) after percutaneous coronary intervention (PCI).

Methods

From January 2021 to December 2021, 102 patients with CAD after PCI were randomly divided into a research group (n =51) and a control group (n =51). The former received CICARE communication model nursing intervention, and the latter received routine doctor-patient communication nursing. To study the scores of disease uncertainty scale (MUIS), Frankl treatment compliance scale (Frankl), self-care ability scale (exercise of self-care-a), quality of life scale (WHOQOL-BREF), and Newcastle nursing satisfaction scale (NSNS) before and 1 week after nursing.

Results

After one week of nursing, the MUIS score of the research group was lower than that of the control group, and the score of Frankl treatment compliance scale of the research group was higher than that of the control group. After 1 week of nursing, the ESCA score of the research group was higher compared to the control group (p < 0.05), and the WHOQOL-BREF score of the research group was higher compared to the control group (p < 0.05). After one week of nursing, the NSNS score of the research group was higher compared to the control group (p < 0.05).

Conclusion

The application value of CICARE communication mode nursing intervention in patients with CAD after PCI is more remarkable, and it is more helpful to reduce patients' disease uncertainty, enhance treatment compliance, promote patients' self-nursing ability, and strengthen quality of life and nursing satisfaction.

Predictive value of baseline cognitive functioning on health-related quality of life in individuals with coronary artery disease: a 5-year longitudinal study

AIMS

Emerging studies suggest an association exists between coronary artery disease (CAD) and the development of neurodegenerative diseases, with CAD acting as a precursor. Our study aimed to investigate the relationship between baseline measures of cognitive functioning and long-term health-related quality of life (HRQoL) in individuals with CAD with specification to Type D personality traits and sex.

METHODS AND RESULTS

This prospective observational cohort study consisted of 864 participants (mean age 58 SD = 9 years, 74.0% men) with CAD after acute coronary syndrome. Baseline characteristics included comprehensive cognitive testing, measures of sociodemographic and clinical factors, and psychological assessment scales, such as Type D personality scale and the Hospital Anxiety and Depression scale. The Minnesota Living with Heart Failure Questionnaire assessed participants' HRQoL, conducted through phone interviews at baseline, every 6 months for up to 2 years, and after 5 years. Cognitive functioning correlated with HRQoL at all time intervals over the 5-year follow-up. Regarding sex and Type D personality, significant differences emerged in associations between impaired cognitive functioning at baseline and HRQoL measured over the period of 5 years. Men participants with characteristics of Type D personality were especially vulnerable to impaired cognitive functioning affecting the 5-year quality of life.

CONCLUSION

Men with CAD who obtained scores indicating characteristics of Type D personality were significantly more likely to have lower baseline cognitive functions and long-term HRQoL outcomes. This information could inform healthcare practitioners to screen for personality characteristics and closely follow-up those at a greater risk.

Fatigue, Social Support, and Depression in Individuals With Coronary Artery Disease

Background: Given that approximately one-third of individuals with coronary artery disease (CAD) remain severely fatigued after completion the cardiac rehabilitation, it is necessary to identify reliable intervention targets aimed at reducing fatigue. Perceived social support is closely linked to health outcomes and depressive symptoms in individuals with CAD. However, to our knowledge, the relationship between subjective fatigue levels and social support in those with CAD has not been analyzed. Objective: We aimed to examine the associations between perceived social support and subjective fatigue levels in individuals with CAD with and without depression symptoms. Methods: This cross-sectional study was comprised of 1,036 participants with CAD (57±9years, 77% men) 1-2weeks after acute coronary syndrome (ACS). Participants completed the Hospital Anxiety and Depression scale (HADS), Multidimensional Fatigue Inventory-20 (MFI-20), and the Multidimensional Scale of Perceived Social Support (MSPSS). Results: In total, 12% (n=129) of study participants had elevated depression symptoms (HADS score≥8). In individuals with CAD and depressive symptoms, after adjustment for sex, age, New York Heart Association (NYHA) functional class, and anxiety, linear regression analyses showed significant inverse associations between higher social support from others and general, physical fatigue as well as reduced activity and motivation (p<0.001). Following the same method of statistical analysis and control in non-depressed individuals with CAD (88%), social support from family was inversely linked to mental fatigue (p's<0.05). Similarly, social support from friends was significantly associated with lower general, physical, and mental fatigue as well as reduced activity, while social support from others was significantly associated with lower general and mental fatigue (p's<0.001). The overall higher total support was linked with reduced motivation (p<0.05) in the depressed study participants, while there was lower general and mental fatigue (p<0.05) in non-depressed individuals. Conclusion: The results of this study suggest that fatigue and its features could be associated by the perceived social support in individuals with CAD following ACSs. While in individuals with CAD and depressive symptoms, greater subjective fatigue is associated with less perceived social support from others, higher levels of subjective fatigue in non-depressed individuals with CAD are significantly associated with reduced perceived social support from friends.