Quality of life related to health for heart failure patients

Paz, Larissa Ferreira de Araújo; Medeiros, Carolina de Araújo; Martins, Sílvia Marinho; Bezerra, Simone Maria Muniz da Silva; Oliveira, Wilson de; Silva, Maria Beatriz Araújo

doi:10.1590/0034-7167-2018-0368

Cited by 14 publications

(12 citation statements)

References 22 publications

(40 reference statements)

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“…Additionally, patients' quality of life significantly related to age that explained the lower quality of life in this study (patients' mean age = 72.74 years) than that in Paz's study (mean age = 60.23 years). 20 Higher quality of life was associated with better clinical outcomes which was reported previously. 39 As a prognosis indicator of readmission and mortality, the concern with the individuals' quality of life has been highlighted in the Health Sciences area.…”

Section: Discussionsupporting

confidence: 68%

“…Patients' quality of life in our study was better than that reported in Chen's study (44.4) 38 and worse than that in Paz's study (34.3). 20 Only patients with a reduced ejection fraction (HFrEF) were included in Chen's study and we enrolled patients with reduced ejection fraction (HFrEF), preserved ejection fraction (HFpEF) or mid‐range ejection fraction (HFmrEF) in this study. The reason that worse quality of life in Chen's study may be that when ejection ability of left ventricle decreased, patients' physical symptoms would exacerbate, resulting in poor quality of life.…”

Section: Discussionmentioning

confidence: 99%

“…All the risk factors that might affect the 30 day readmission of older HF patients were summarized from four aspects (environment, population characteristics, health behaviour, and outcomes) based on Andersen's Behavioural Model through review of literature 17 , 18 , 19 , 20 and clinical practice. The following 38 characteristics including PROs and objective variables were obtained from the participants and their medical records: (i) Environment: hospital and residence.…”

Section: Methodsmentioning

confidence: 99%

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Prognostic value of patient‐reported outcomes in predicting 30 day all‐cause readmission among older patients with heart failure

et al. 2022

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Aims Previous prediction studies for 30 day readmission in patients with heart failure were built mainly based on electronic medical records and rarely involved patient-reported outcomes. This study aims to develop and validate a nomogram including patient-reported outcomes to predict the possibility of 30 day all-cause readmission in older patients with heart failure and to explore the value of patient-reported outcomes in prediction model. Methods and resultsThis was a prospective cohort study. The nomogram was developed and internally validated by Logistic regression analysis based on 381 patients in training group from March to December 2019. The nomogram was externally validated based on 170 patients from July to October 2020. Receiver operating characteristic curves, calibration plots and decision-curve analysis were used to evaluate the performance of the nomogram. A total of 381 patients' complete data were analysed in the training group and 170 patients were enrolled in the external validation group. In the training group, 14.4% (n = 55) patients were readmitted to hospitals within 30 days of discharge and 15.9% (n = 27) patients were readmitted in the external validation group. The nomogram included six factors: history of surgery, changing the type of medicine by oneself, information acquisition ability, subjective support, depression level, quality of life, all of which were significantly associated with 30 day readmission in older patients with heart failure. The areas under the receiver operating characteristic curves of nomogram were 0.949 (95% CI: 0.925, 0.973, sensitivity: 0.873, specificity: 0.883) and 0.804 (95% CI: 0.691, 0.917, sensitivity: 0.778, specificity: 0.832) respectively in the training and external validation groups, which indicated that the nomogram had better discrimination ability. The calibration plots demonstrated favourable coordination between predictive probability of 30 day readmission and observed probability. Decision-curve analysis showed that the net benefit of the nomogram was better between threshold probabilities of 0-85%. Conclusions A novel and easy-to-use nomogram is constructed and demonstrated which emphasizes the important role of patient-reported outcomes in predicting studies. The performance of the nomogram drops in the external validation cohort and the nomogram must be validated in a wide prospective cohort of HF patients before its clinical relevance can be demonstrated. All these findings in this study can assist professionals in identifying the needs of HF patients so as to reduce 30 day readmission.

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Section: Discussionsupporting

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Prognostic value of patient‐reported outcomes in predicting 30 day all‐cause readmission among older patients with heart failure

et al. 2022

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“…QoL can predict death and hospitalization in individuals with HF [ 10 ], as well as adverse cardiovascular outcomes in CCC patients [ 11 ]. Individuals with CD present lower scores of QoL [ 12 – 19 ] and individuals with CCC present lower QoL when compared to healthy individuals [ 14 ], to those with the indeterminate form of CD [ 12 , 16 ], and to those with HF from other etiologies [ 15 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

The association between variables of cardiopulmonary exercise test and quality of life in patients with chronic Chagas cardiomyopathy (Insights from the PEACH STUDY)

et al. 2022

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Studies investigating the association between functional capacity and quality of life (QoL) in individuals with chronic Chagas cardiomyopathy (CCC) usually do not include a gold-standard evaluation of functional capacity, limiting the validity and the interpretation of the results. The present study is a cross-section analysis aiming to evaluate the association between functional capacity (quantified by cardiopulmonary exercise test [CPET]) and QoL in individuals with CCC. QoL was assessed using the SF-36 questionnaire. Sociodemographic, anthropometric, clinical, cardiac function and maximal progressive CPET variables were obtained from PEACH study. Generalized linear models adjusted for age, sex, and left ventricular ejection fraction were performed to evaluate the association between CPET variables and QoL. After adjustments, VO2 peak and VO2 AT were both associated with physical functioning (β = +0.05 and β = +0.05, respectively) and physical component summary (β = +0.03 and β = +0.03, respectively). Double product was associated with physical functioning (β = +0.003), general health perceptions (β = +0.003), physical component summary (β = +0.002), and vitality (β = +0.004). HRR≤12bpm was associated with physical functioning (β = -0.32), role limitations due to physical problems (β = -0.87), bodily pain (β = -0.26), physical component summary (β = -0.21), vitality (β = -0.38), and mental health (β = -0.19). VE/VCO2 slope presented association with all mental scales of SF-36: vitality (β = -0.028), social functioning (β = -0.024), role limitations due to emotional problems (β = -0.06), mental health (β = -0.04), and mental component summary (β = -0.02). The associations between CPET variables and QoL demonstrate the importance of CPET inclusion for a more comprehensive evaluation of individuals with CCC. In this setting, intervention strategies aiming to improve functional capacity may also promote additional benefits on QoL and should be incorporated as a treatment strategy for patients with CCC.

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“…Heart failure is a chronic disorder caused by a structural or functional impairment in the ability of the heart ventricle to fill or eject the blood effectively (Paz et al, 2019). The overall prevalence of heart failure raises with age, particularly after the age of 64.…”

Section: Introductionmentioning

confidence: 99%

Perceived quality of life in patients with heart failure: a cross-sectional study among adults in Kingdom of Bahrain

Ghuloom

Sanad

2022

AGJSR

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PurposeThe aim of this study is to assess the perceived quality of life of Bahraini patients with heart failure.Design/methodology/approachA sample of 250 patients aged 18 years and older was recruited using a cross-sectional design. Minnesota Living with Heart Failure Questionnaire version three was employed to obtain data from participants on their socio-demographic characteristics and their perceived quality of life.FindingsThe mean age of patients was 69.0 ± 8.1 years and 78% were males. Almost half of the patients with third/fourth degree heart failure had difficulties in earning a living (48.4%) since they had long periods of hospital stays (49.2%). The quality of life is inversely proportional to the age of the patients with third/fourth degree heart failure (p < 0.001). Most of the patients had a poor quality of life (74.8%); about 21.6% had a moderate quality of life, while only few patients (3.6%) had a good quality of life.Originality/valueThe quality of life among Bahraini patients diagnosed with third/fourth degree heart failure is generally poor. Further, advanced age, low level of education, not currently married and low income were shown to be associated with poor quality of life. A need exists to include a quality of life assessment tool as part of the management of these patients.

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Quality of life related to health for heart failure patients

Cited by 14 publications

References 22 publications

Prognostic value of patient‐reported outcomes in predicting 30 day all‐cause readmission among older patients with heart failure

Prognostic value of patient‐reported outcomes in predicting 30 day all‐cause readmission among older patients with heart failure

The association between variables of cardiopulmonary exercise test and quality of life in patients with chronic Chagas cardiomyopathy (Insights from the PEACH STUDY)

Perceived quality of life in patients with heart failure: a cross-sectional study among adults in Kingdom of Bahrain

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