Exploring quality of life in patients with and without heart failure
OA Location
Author(s)
Type
Journal Article
Abstract
Aims
The EuroHeart Failure Survey Questionnaire (EHFSQ-1) has 39 questions on symptoms and quality of life (QoL); many items are related. We sought to identify underlying clusters amongst EHFSQ-1 questions, construct an overall “QoL score” and investigate its relationship to a single question asking patients to self-rate QoL.
Methods and results
Factor analysis based on the principal component technique was used to identify patterns amongst responses to QoL questions from patients referred with symptoms suggesting heart failure (HF). Of 1031 patients, median age 71 (IQR: 63–77) years, 64% were men and 626 had confirmed HF. For patients with HF, seven symptom-clusters were identified: “breathlessness”, “psychological distress”, “sleep quality”, “frailty”, “cognitive/psychomotor function”, “cough” and “chest pain”. These clusters accounted for 65% of the total variance in QoL score. Cluster pattern was similar in patients with and without HF. A summary factor score was tightly correlated with summary QoL score (correlation coefficient: r = 0.96; p < 0.0001). Both summary factors and QoL scores were highly correlated with patient self-rating of overall health (r1 = 0.61 and r2 = 0.66 respectively, p < 0.0001) or overall QoL (r1 = 0.60 and r2 = 0.66, p < 0.0001). The medians (IQR) of the summary QoL score for patients with HFrEF, HFnEF and no-HF were, respectively, 83 (60–106), 82 (59–104) and 71 (51–94).
Conclusions
EHFSQ-1, comprises seven symptom clusters in patients with HF. Either summary factors or QoL scores can be used as a QoL outcome measure. However, if the key question is ‘what is this patient's QoL?’ rather than the reason why it is impaired, then a single, direct question may suffice.
The EuroHeart Failure Survey Questionnaire (EHFSQ-1) has 39 questions on symptoms and quality of life (QoL); many items are related. We sought to identify underlying clusters amongst EHFSQ-1 questions, construct an overall “QoL score” and investigate its relationship to a single question asking patients to self-rate QoL.
Methods and results
Factor analysis based on the principal component technique was used to identify patterns amongst responses to QoL questions from patients referred with symptoms suggesting heart failure (HF). Of 1031 patients, median age 71 (IQR: 63–77) years, 64% were men and 626 had confirmed HF. For patients with HF, seven symptom-clusters were identified: “breathlessness”, “psychological distress”, “sleep quality”, “frailty”, “cognitive/psychomotor function”, “cough” and “chest pain”. These clusters accounted for 65% of the total variance in QoL score. Cluster pattern was similar in patients with and without HF. A summary factor score was tightly correlated with summary QoL score (correlation coefficient: r = 0.96; p < 0.0001). Both summary factors and QoL scores were highly correlated with patient self-rating of overall health (r1 = 0.61 and r2 = 0.66 respectively, p < 0.0001) or overall QoL (r1 = 0.60 and r2 = 0.66, p < 0.0001). The medians (IQR) of the summary QoL score for patients with HFrEF, HFnEF and no-HF were, respectively, 83 (60–106), 82 (59–104) and 71 (51–94).
Conclusions
EHFSQ-1, comprises seven symptom clusters in patients with HF. Either summary factors or QoL scores can be used as a QoL outcome measure. However, if the key question is ‘what is this patient's QoL?’ rather than the reason why it is impaired, then a single, direct question may suffice.
Date Issued
2015-09-25
Date Acceptance
2015-09-21
Citation
International Journal of Cardiology, 2015, 202, pp.676-684
ISSN
1874-1754
Publisher
Elsevier
Start Page
676
End Page
684
Journal / Book Title
International Journal of Cardiology
Volume
202
Copyright Statement
© 2015 Elsevier Ireland Ltd. Published by Elsevier Inc. All rights reserved.
Sponsor
National Institute for Health Research
Grant Number
N/A
Subjects
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Patterns of quality of life
Suspected heart failure
Left ventricular systolic dysfunction
CARE
QUESTIONNAIRE
MORTALITY
EUROPE
Aged
Female
Health Status
Heart Failure
Humans
Male
Middle Aged
Outcome Assessment (Health Care)
Quality of Life
Severity of Illness Index
Surveys and Questionnaires
Cardiovascular System & Hematology
1102 Cardiovascular Medicine And Haematology
Publication Status
Published