EQ-5D in coronary patients: what are they suffering from? Results from the ESC EORP European Survey of Cardiovascular Disease Prevention and Diabetes (EUROASPIRE IV) Registry

The psychological well-being index and quality of life after a cardiac rehabilitation program based on aerobic training and psychosocial support

BACKGROUND

This study aimed to investigate the physical and psychological benefits of an alternative cardiac rehabilitation program based on therapeutic groups during physical exercise sessions and to compare the results with those of a conventional cardiac rehabilitation program.

METHOD

The sample included 112 patients from the cardiac rehabilitation unit of a medical center, 91.1 % of whom were male. The control group consisted of 47 subjects, with a mean age of 57.89 ± 12.30 and the experimental group consisted of 65 subjects, with a mean age of M = 58.38 ± 9.86. Quality of life, psychological well-being, health-related quality of life, body mass index, blood pressure, abdominal circumference and resting heart rate were measured before starting and at the end of the cardiac rehabilitation program.

RESULTS

The experimental group improved significantly more than the control group in body mass index, systolic and diastolic blood pressure, abdominal circumference, and resting heart rate (p value < 0.005). In addition, the experimental group had significantly greater improvements in quality of life, psychological well-being, and health-related quality of life than the control group (p-value < 0.001).

CONCLUSIONS

A cardiac rehabilitation program based on simultaneous aerobic training and psychosocial support improved the physical function, health-related quality of life and well-being.

Health-Related Quality of Life and Influencing Factors in Coronary Heart Disease Based on the Scale QLICD-CHD (V2.0): A Cross-Sectional Study

Purpose

Coronary heart disease (CHD) is difficult to cure, so more attention should be paid to improving patients' health-related quality of life (HRQoL). This paper focuses on identifying factors that affect HRQoL.

Patients and Methods

Overall, 189 in-patients with coronary heart disease were investigated at the Affiliated Hospital of Guangdong Medical University between 2015 and 2016. The scale Quality of Life Instruments for Chronic Diseases-Coronary heart disease (QLICD-CHD V2.0) was used to evaluate HRQoL and collect demographic information. Medical records were applied to collect patients' clinical indicators. A simple correlation analysis, Student's t-test, and a one-way analysis of variance were first performed to filter factors that might associate with HRQoL, and multiple linear regression was applied to finally identify related factors.

Results

Findings from multiple linear regression showed that the total score was related to family economy, treatment, indirect bilirubin, and albumin with regression coefficient B=5.209, -6.615, 0.378, and 0.548, respectively. The physical functions were related to treatment, albumin, globular proteins, chloride, and red blood cell count with B=-9.031, 1.000, 0.612, 1.320, and 5.161, respectively. The psychological function was in association with family economy, clinical course, serum phosphorus, and percentage of lymphocyte population with B=7.487, 6.411, -16.458, and 0.090, respectively. The social function was associated with family economy, blood urea nitrogen, serum creatinine, and platelet distribution width with B=7.391, 1.331, -0.060, and -0.929, respectively. The special module was in association with treatment, indirect bilirubin, and serum calcium with B=-7.791, 0.414, and 23.017, respectively.

Conclusion

Clinical indicators including albumin, globular proteins, chloride, red blood cell count, serum phosphorus, percentage of lymphocyte population, blood urea nitrogen, serum creatinine, platelet distribution width, indirect bilirubin, and serum calcium, as well as socio-demographic factors including the family economy, clinical course, and treatment, may affect coronary heart disease patients' HRQoL.

Factors associated with health-related quality of life in patients with coronary heart disease

Coronary heart disease (CHD) contributes to decreased health-related quality of life (HRQOL). This review article investigates the factors that can affect the HRQOL in CHD patients. A literature search from PubMed and EBSCO databases was performed until March 2021 with predetermined keywords. The review of 15 included articles showed that many factors that can affect the HRQOL by using EQ-5D instrument in CHD patients, such as education, gender, comorbidity, percutaneous coronary intervention (PCI)/coronary artery bypass graft (CABG) intervention, patient-physician interaction, obesity, physical activity, numbers of medication, smoking, self-efficacy, social/family life, alcohol drinking, income, employment, and behavioral risk factor profile. The top three factors associated with HRQOL in CHD patients were education, gender, and comorbidity. Therefore, we should pay more attention to CHD patients with lower education levels, females, and comorbidity.

Association between perceived health and adherence to treatment after percutaneous coronary intervention: A long-term follow-up study

AIMS

To identify associations between perceived health and treatment adherence six years after percutaneous coronary intervention.

DESIGN

A non-experimental descriptive long-term follow-up study.

METHODS

Baseline data (n = 416) were collected in 2013, with follow-up data collected in 2019 (n = 154), using the EuroQoL scale, EuroQoL visual analogue scale, and Adherence of Patients with Chronic Disease Instrument. Data were analysed using descriptive statistics and multivariate methods.

RESULTS

The average age of the 154 respondents was 68.5 years (SD 7.01), with a majority males (n = 118, 86.6%). Adherence to a healthy lifestyle, good perceived results of care, support from nurses, high sense of normality, low fear of complications, motivation, older age, and duration of coronary artery disease were associated with better general perceived health as well as its dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression).

CONCLUSION

Support from nurses is a key factor to ensuring high perceived health among post-percutaneous coronary intervention patients. This support must be continuous and motivate the patient to adhere to a healthy lifestyle. Patients should feel comfortable sharing their problems and fears. This type of relationship will allow health care professionals to assess the patient's current situation and address potential problems about mobility, pain and discomfort, as well as anxiety and depression to strengthen the patient's sense of normality and enable them to confidently lead a normal life.

IMPACT

The research aimed to gain knowledge about how perceived health is associated with treatment adherence six years after percutaneous coronary intervention. The results emphasise that a nurse's support of patients is crucial to the care process, as adherence to treatment showed a clear positive association with perceived health in the analysed sample of post-PCI patients.

Health-Related Quality of Life and Its Related Factors in Survivors of Stroke in Rural China: A Large-Scale Cross-Sectional Study

Background

Stroke is a major health threat and the leading cause of mortality and disability in China. The aims of this study were to identify the possible influencing factors of health-related quality of life (HRQoL) and its domain-specific contents in stroke patients in rural areas in China.

Methods

A total of 1,709 stroke patients aged 36–79 years from the baseline data of Henan Rural Cohort study (n = 39,259) were included in the cross-sectional study. The Chinese version of the European Quality of Life Five Dimension (including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) Five Level Scale (EQ-5D-5L) and visual analog scale (VAS) were used to evaluate HRQoL in stroke patients. Tobit regression models, generalized linear models and binary logistic regression models were constructed to determine potential influencing factors of the EQ-5D utility index, as well as influencing factors of each domain and VAS score.

Results

The mean utility index and VAS scores of stroke patients were 0.885 (SD, 0.204), and 68.39 (SD, 17.31), respectively. Pain/discomfort (PD, 35.2%) and mobility (MO, 30.4%) were the most frequently reported issues. Regression models revealed that illiterate; a low monthly income; low physical activity intensity; and diabetes, anxiety, depression, or poor sleep quality were significantly associated with lower utility index and VAS scores among stroke patients. In addition, patients with stroke who were older, female, drinking, smoking, and consuming a high-fat diet, had a higher BMI, and lived with a stroke for a longer time, were also significantly associated with different dimensions of the EQ-5D.

Conclusion

Patients with stroke in rural areas in China had a low HRQoL. Factors associated with the EQ-5D utility index as well as each domain and VAS score, need to be considered by health providers in rural areas. Patients with stroke in rural areas need to be included in national basic public medical services and managed systematically by medical institutions.

Update on Management of Cardiovascular Diseases in Women

Cardiovascular diseases (CVD) have a lower prevalence in women than men; although, a higher mortality rate and a poorer prognosis are more common in women. However, there is a misperception of CVD female risk since women have commonly been considered more protected so that the real threat is vastly underestimated. Consequently, female patients are more likely to be treated less aggressively, and a lower rate of diagnostic and interventional procedures is performed in women than in men. In addition, there are substantial sex differences in CVD, so different strategies are needed. This review aims to evaluate the main gender-specific approaches in CVD.

The Impact of Risk Factor Control on Health-Related Quality of Life in Individuals with High Cardiovascular Disease Risk: A Cross-sectional Study Based on EQ-5D Utility Scores in Inner Mongolia, China

Objectives

To assess the impact of cardiovascular disease (CVD) risk factor control on health-related quality of life (HRQoL), as well as the other influencing factors of HRQoL among high CVD risk individuals.

Methods

From 2015 to 2017, residents of six villages or communities in Inner Mongolia, selected using a multi-stage stratified cluster random sampling method, were invited to complete a questionnaire and undergo physical examination and laboratory testing. We selected participants whose predicted 10-year risk for CVD exceeded 10% as those with high CVD risk. HRQoL in individuals with high CVD risk was investigated based on the EuroQol-5 Dimension (EQ-5D) scale. The Chinese utility value integral system was used to calculate EQ-5D utility scores, and the Tobit regression model was used to analyze the influencing factors of HRQoL among individuals with high CVD risk.

Results

Of 13,359 participants with high CVD risk, 65.63% reported no problems in any of the five dimensions; the most frequently reported difficulty was pain/discomfort. The median utility score was 1.000 (0.869, 1.000). Participants with hypertension, and uncontrolled glycemic and blood lipids had lower HRQoL. In addition, sex, age, living environment, education level, household income, and medical insurance were influencing factors of HRQoL.

Conclusion

Sex, age, living environment, education level, household income, medical insurance, hypertension, and whether glycemic and blood lipids control or not are related to HRQoL of high CVD risk individuals.

Health-related quality of life and its related factors in coronary heart disease patients: results from the Henan Rural Cohort study

The aims were to identify the possible influencing factors of health-related quality of life (HRQoL) and its domain-specific scores in patients with coronary heart disease (CHD). A total of 1247 patients with CHD from the Henan Rural Cohort Study (n = 39,259) were included in this study. The Chinese version of the European Quality of Life Five Dimension Five level scale (EQ-5D-5L) and Visual Analogue Scale (VAS) were used to evaluate HRQoL in patients with CHD. Tobit regression, generalized linear models and binary logistic regression were applied to determine the potential factors influencing the EQ-5D utility, as well as each domain, and the VAS. CHD patients had lower per capita monthly actual income, and higher rates of diabetes mellitus, stroke, anxiety and poor sleep quality, which significantly decreased EQ-5D index and VAS scores. In addition, sex, older age, education, not having a spouse, ever drinking alcohol, a high-fat diet, physical activity, hypertension and depression affected the various domain-specific EQ-5D scores in CHD patients. CHD patients in rural areas have a lower HRQoL. Factors associated with the EQ-5D index, including each domain, and the VAS need attention. CHD patients in rural areas need to be managed systematically.