Utility of a short quality of life questionnaire to predict cardiovascular events

Muñoz, Miguel Ángel; Subirana, Isaac; Elosúa, Roberto; Covas, Marı́a-Isabel; Baena-Díez, J.M.; Ramos, Rafael; Verdú, José María; Marrugat, Jaume

doi:10.1016/j.ijcard.2011.07.002

Cited by 9 publications

(14 citation statements)

References 9 publications

(14 reference statements)

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“…The present finding substantiates the evidence of a recent systematic review demonstrating that higher HRQoL was inversely associated with all-cause mortality [10]. Furthermore, our PCS finding is aligned with previous studies reporting that higher PCS is a predictor of reduced all-cause mortality in German, Spanish and Scottish population-based samples aged 20 years and over [29][30][31]. Among 4,261 German community-dwelling adults aged 20-79 years, the all-cause mortality rate for the highest PCS quartile group was 44% less than that of lowest quartile group over an average follow-up of 9.7 years [29].…”

Section: Discussionsupporting

confidence: 92%

“…Moreover, the analysis reported in this manuscript were based on data collected during the ASPREE trial which ended after a median 4.7 years of follow-up. However, our findings support the evidence of prior studies with 6 -9 years follow-ups [29][30][31]. In addition, since women and men are different in genetic, social selection, healthcare seeking behaviours and social consequences of illness [12,42], women tend to live longer and suffer more morbidities in later life compared to men [42].…”

Section: Limitations and Strengthssupporting

confidence: 90%

“…Among 4,261 German community-dwelling adults aged 20-79 years, the all-cause mortality rate for the highest PCS quartile group was 44% less than that of lowest quartile group over an average follow-up of 9.7 years [29]. Similarly, among Spanish and Scottish adults that spanned a broad age range of 20-65 years and above, the all-cause mortality rate of the highest tertile or quintile group was 42%-64% less than that of lowest group over an average 6.3-year and to 7.6-year follow-up respectively [30,31].…”

Section: Discussionmentioning

confidence: 88%

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Health-related quality of life and all-cause mortality among older healthy individuals in Australia and the United States: a prospective cohort study

et al. 2021

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Informed consentThis study used data from a five-year ASPREE (ASPirin in Reducing Events in the Elderly) clinical trial (Trial Registration: International Standard Randomized Controlled Trial Number Register (ISRCTN 83772183) and clinicaltrials.gov (NCT 01038583)). All individual participants of ASPREE clinical trial signed informed consent on participation. Research involving human participants ASPREE is being conducted in accordance with the Declaration of Helsinki 1964 as revised in 2008, the NHMRC Guidelines on Human Experimentation, the federal patient privacy (HIPAA) law and ICH-GCP guidelines and the International Conference of Harmonization Guidelines for Good Clinical Practice. ASPREE also follows the Code of Federal Regulations as it relates to areas of clinical research. The overall management and conduct of the ASPREE clinical trial are the responsibility of the ASPREE Steering Committee. Declarations Ethics approval ASPREE (ASPirin in Reducing Events in the Elderly) trial is being conducted in accordance with the Declaration of Helsinki 1964 as revised in 2008, the NHMRC Guidelines on Human Experimentation, the federal patient privacy (HIPAA) law and ICH-GCP guidelines and the International Conference of Harmonization Guidelines for Good Clinical Practice. ASPREE also follows the Code of Federal Regulations as it relates to areas of clinical research. The overall management and conduct of the ASPREE clinical trial is the responsibility of the ASPREE Steering Committee. The data of the present secondary data-analysis study was from a five-year ASPREE clinical trial (Trial Registration: International Standard Randomized Controlled Trial Number Register (ISRCTN 83772183) and clinicaltrials.gov (NCT 01038583)). The current secondary data analysis has been approved by the

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Section: Discussionsupporting

confidence: 92%

Section: Limitations and Strengthssupporting

confidence: 90%

Section: Discussionmentioning

confidence: 88%

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Health-related quality of life and all-cause mortality among older healthy individuals in Australia and the United States: a prospective cohort study

et al. 2021

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“…Half of the included studies (24 studies) measured QoL using the Short Form 36 (SF-36), four studies used the shorter version SF-12 [43,49,60,73], and two studies SF-20 [47,72]. Four studies [25,52,61,67] used the WHO-QOL questionnaire, two [36,42] used the core CDC Healthy Days Measure (HRQOL-4), two [37,51] used the EuroQoL-5 Dimension (EQ-5D), two [26,51] used the short-form sixdimension utility index (SF-6D), two [46,53] used the health utilities index 3 (HUI3) and one study that included five individual cohorts [29] used the 15-dimensional HRQoL measure (15D).…”

Section: Description Of Included Studiesmentioning

confidence: 99%

Quality of Life as a predictor of mortality in the general population: a systematic review and meta-analysis

Phyo¹,

Freak‐Poli²,

Craig³

et al. 2020

Preprint

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Background: Quality of life (QoL) is multi-dimensional concept of an individual’ general well-being status in relation to their value, environment, cultural and social context in which they live. This study aimed to quantitatively synthesise available evidence on the association between QoL and mortality in the general population.Methods: An electronic search was conducted using three bibliographic databases, MEDLINE, EMBASE and PsycINFO. Inclusion criteria were studies that assessed QoL using standardized tools and examined mortality risk in a non-patient population. Qualitative data synthesis and meta-analyses using a random-effects model were performed.Results: Of 4,184 articles identified, 47 were eligible for inclusion, involving approximately 1,200,000 participants. Studies were highly heterogeneous in terms of QoL measures, population characteristics and data analysis. In total, 43 studies (91.5%) reported that better QoL was associated with lower mortality risk. The results of four meta-analyses indicated that higher health-related QoL (HRQoL) is associated with lower mortality risk, which was consistent for overall HRQoL (HR 0.633, 95% CI: 0.514 to 0.780), physical function (HR 0.987, 95% CI: 0.982 to 0.992), physical component score (OR 0.950, 95% CI: 0.935 to 0.965), and mental component score (OR 0.980, 95% CI: 0.969 to 0.992).Conclusion: These findings provide evidence that better QoL/HRQoL was associated with lower mortality risk. The utility of these measures in predicting mortality risk indicates that they should be considered further as potential screening tools in general clinical practice, beyond the traditional objective measures such as body mass index and the results of laboratory tests.

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“…Beyond mortality, QOL has been shown to predict readmission among patients who are chronically ill [8]. Population-based studies examining the relationship between baseline QOL and long-term vascular outcomes and mortality have been performed primarily in homogenous ethnic groups [9–12]. A study on 1739 participants free of CVD in Beijing demonstrated lower QOL, measured using the Chinese 35-Item QOL Instrument (QOL-35), was associated with increased risk of 10-year all-cause mortality [13].…”

Section: Introductionmentioning

confidence: 99%

Quality of life independently predicts long-term mortality but not vascular events: the Northern Manhattan Study

et al. 2017

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Purpose Cardiovascular disease is a major contributor to morbidity and mortality, and prevention relies on accurate identification of those at risk. Studies of the association between quality of life (QOL) and mortality and vascular events incompletely accounted for depression, cognitive status, social support, and functional status, all of which have an impact on vascular outcomes. We hypothesized that baseline QOL is independently associated with long-term mortality in a large, multi-ethnic urban cohort. Methods In the prospective, population-based Northern Manhattan Study, Spitzer QOL index (SQI, range 0–10, with ten signifying the highest QOL) was assessed at baseline. Participants were followed over a median 11 years for stroke, myocardial infarction (MI), and vascular and non-vascular death. Multivariable Cox proportional hazards regression estimated hazard ratio and 95% confidence interval (HR, 95% CI) for each outcome, with SQI as the main predictor, dichotomized at 10, adjusting for baseline demographics, vascular risk factors, history of cancer, social support, cognitive status, depression, and functional status. Results Among 3298 participants, mean age was 69.7 + 10.3 years; 1795 (54.5%) had SQI of 10. In fully adjusted models, SQI of 10 (compared to SQI <10) was associated with reduced risk of all-cause mortality (HR 0.80, 95% CI 0.72–0.90), vascular death (0.81, 0.69–0.97), non-vascular death (0.78, 0.67–0.91), and stroke or MI or death (0.82, 0.74–0.91). In fully adjusted competing risk models, there was no association with stroke (0.93, 0.74–1.17), MI (0.98, 0.75–1.28), and stroke or MI (1.03, 0.86–1.24). Results were consistent when SQI was analyzed continuously. Conclusion In this large population-based cohort, highest QOL was inversely associated with long-term mortality, vascular and non-vascular, independently of baseline primary vascular risk factors, social support, cognition, depression, and functional status. QOL was not associated with non-fatal vascular events.

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Utility of a short quality of life questionnaire to predict cardiovascular events

Cited by 9 publications

References 9 publications

Health-related quality of life and all-cause mortality among older healthy individuals in Australia and the United States: a prospective cohort study

Health-related quality of life and all-cause mortality among older healthy individuals in Australia and the United States: a prospective cohort study

Quality of Life as a predictor of mortality in the general population: a systematic review and meta-analysis

Quality of life independently predicts long-term mortality but not vascular events: the Northern Manhattan Study

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