[Symptom Management to Predict Quality of Life in Patients with Heart Failure: A Structural Equation Modeling Approach]

Correlation between symptom status, health perception, and spiritual well-being in heart failure patients: A structural equation modeling approach

AIM

To explore predictors of spiritual well-being behaviors among heart failure patients based on Wilson and Cleary's conceptual model of health-related quality of life and to clarify the interrelationships among these variables.

DESIGN

A descriptive and correlational study design was used.

METHODS

This study included 202 heart failure patients treated between October 2020 and July 2021. Data were collected using the Symptom Status Questionnaire-Heart Failure, Perception of Health Scale, and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale. Descriptive analysis, correlation, and structural equation modeling were performed.

RESULTS

Characteristic factors positively affected spiritual well-being both directly (β = 0.19, p = 0.007) and indirectly (β = 0.19; CI (0.106; 0.311)). The direct relationship between health perception and spiritual well-being was significant (β = 0.83, p < 0.05). Symptom status acted as an essential mediator between model variables and spiritual well-being (β = -0.28; CI (-0.449; -0.133)). Comorbidity and symptom status also influence spiritual well-being through health perceptions. These variables explain 77% of the variance in spiritual well-being.

CONCLUSION

The modified structural equation modeling based on Wilson and Cleary's conceptual model fits well in predicting spiritual well-being in patients with heart failure. Spiritual well-being was reported to be poor, and changes in spiritual well-being were predicted by age, educational level, marital status, comorbidity, symptom status, and health perception. The results can be applied to patients with heart failure and may serve as a guide for assessment and interventions for improving spiritual well-being.

CLINICAL RELEVANCE

This study mainly concludes that symptom status and perceived health status affect spiritual well-being in heart failure patients. Symptom relief and improvement in perceived health status interventions may help enhance spiritual well-being in this population. Future studies are needed to investigate the different predictor's effects on spiritual well-being and examine whether symptom management and health status-enhancing interventions result in improved spiritual well-being in the heart failure population.

REPORTING METHOD

This study was reported following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Prediction of Heart Failure Symptoms and Health-Related Quality of Life at 12 Months From Baseline Modifiable Factors in Patients With Heart Failure

BACKGROUND

In patients with heart failure (HF), good health-related quality of life (HRQOL) is as valuable as, or more valuable than, longer survival. However, HRQOL is remarkably poor, and HF symptoms are strongly associated with poor HRQOL. Yet, the multidimensional, modifiable predictors have been rarely examined.

OBJECTIVE

The aim of this study was to examine the baseline psychosocial, behavioral, and physical predictors of HF symptoms and HRQOL at 12 months and the mediator effect of HF symptoms in the relationship between depressive symptoms and HRQOL.

METHODS

We collected data from 94 patients with HF (mean ± SD age, 58 ± 14 years). Data included sample characteristics, depressive symptoms, perceived control, social support, New York Heart Association (NYHA) functional class, medication adherence, sodium intake, self-care management, and HF symptoms at baseline, as well as HF symptoms and HRQOL at 12 months. Multiple regression analyses were performed to address the purpose.

RESULTS

Baseline depressive symptoms (P < .001), medication adherence (P = .010), sodium intake (P = .032), and NYHA functional class (P = .040) significantly predicted 12-month HF symptoms, controlling for covariates (F = 7.363, R = 47%, P < .001). Baseline medication adherence (P = .001), NYHA functional class (P < .001), and HF symptoms (P = .013) significantly predicted 12-month HRQOL (F = 10.701, R = 59%, P < .001). Baseline HF symptoms fully mediated the relationship between baseline depressive symptoms and 12-month HRQOL.

CONCLUSION

Symptoms of HF and HRQOL could be improved by targeting multidimensional, modifiable predictors, such as self-care, depressive symptoms, and NYHA functional class.

Association Between Symptoms of Patients With Heart Failure and Patient Outcomes Based on Electronic Nursing Records

We examined the association between symptoms (ie, dyspnea and pain) and patient outcomes (ie, length of stay, 30-day readmission, and death in hospital) among patients with heart failure using EMRs. This was a descriptive study that was conducted from July 1, 2014, to November 30, 2017. Participants were 754 hospitalized patients with heart failure (mean age, 70.62 ± 14.78 years; male-to-female ratio, 1:1.1). Data were analyzed using descriptive statistics, χ2 tests, and logistic regression analyses. Patients' average length of stay was 8.92 ± 13.12 days. Thirty-two patients (4.2%) were readmitted, and 100 patients (13.3%) died during hospitalization. Two-thirds (67.7%) experienced dyspnea, and 367 (48.7%) experienced pain. Symptoms and ICU admission were significantly related to patient outcomes. In the regression analyses, dyspnea, pain, and ICU admission were significantly related to higher-than-average lengths of stay. Dyspnea and ICU admission were related to death in hospital. Information regarding patients' symptoms, which was extracted from records, was a valuable resource in examining the relationship between symptoms and patient outcomes. The use of EMRs may be more advantageous than self-reported surveys when examining patients' symptom and utilizing big data.

Factors associated with self-care behaviours among Koreans with heart failure

BACKGROUND

Self-care behaviours are important to improve health outcomes in patients with heart failure. However, little is known about the factors related to the subdimensions of self-care behaviours in these patients.

AIMS

To identify the factors associated with the subdimensions of self-care behaviours among South Korean patients with heart failure.

METHODS

The participants in this cross-sectional descriptive study conducted between October 2016 and January 2017 were 178 patients with heart failure. Self-care behaviours were measured using the EHFScB-9, which has three subdimensions: autonomy-based adherence; provider-directed adherence; and consulting behaviours. Demographic characteristics, experience of heart failure education, physical function, patient health questionnaire-9, Pittsburgh sleep quality index and self-care confidence were also measured. Descriptive statistics and multiple linear regression analysis were conducted.

RESULTS

The mean age was 62 ± 12 years, and 37% were women. Younger age (P=0.023), no experience of heart failure education (P=0.039), poor physical function (P=0.003), poor sleep quality (P=0.037) and lower self-care confidence (P=0.001) were significantly associated with poor autonomy-based adherence. Being employed (P=0.042), poor sleep quality (P=0.042) and lower levels of self-care confidence (P=0.001) were associated with poor provider-directed adherence. Younger age (P=0.001) and lower self-care confidence (P=0.001) were associated with lower engagement in consulting behaviours.

CONCLUSION

The three subdimensions of self-care behaviours were associated with different psychosocial factors, necessitating the development of tailored interventions and educational materials based on unique self-care behaviour patterns in patients with heart failure.

Gene expression and levels of IL-6 and TNFα in PBMCs correlate with severity and functional class in patients with chronic heart failure

BACKGROUND

Evidence shows that proinflammatory cytokines are important determinants of assessment of severity and prognosis of chronic heart failure (CHF).

AIMS

We investigated whether peripheral expression of the proinflammmatory factors, TNF-α and IL-6 can predict variable of clinical assessment of patients with CHF.

METHODS

In this report, we used real-time PCR assay to compare relative gene expression of TNFα and IL-6 in PBMC from CHF patients with various heart diseases (n = 42, EF < 45%, NYHA I to IV) and matched healthy control subjects (n = 42).We also determined the TNFα and IL-6 concentrations of cell culture supernatant of PBMCs with ELISA.

RESULTS

There was a significant negative correlation between gene expression of TNFα and LVEF(r = 0.4, p < 0.05). Patients with CHF had increased gene expression of TNFα and IL-6 in PBMCs (p < 0.05). They also had elevated the supernatant levels of these cytokines in cultured PBMCs (p < 0.001). Levels of TNFα and IL-6 were increased in ischemic heart disease compared to non-ischemic heart disease. There was a positive correlation between TNFα and IL-6 levels in CHF patients and severity of CHF in patients. Levels of these cytokines were higher in patients with NYHA III-IV than in NYHA I-II and normal subjects.

CONCLUSIONS

Results of this study indicate that peripheral expression of proinflammatory cytokines, TNF-α and IL-6, is important indicators of severity and prognosis in patients with chronic heart disease.