Is health-related quality of life a predictor of hospitalization or mortality among women or men with atrial fibrillation?

Health-Related Quality of Life Scores and Values as Predictors of Mortality: A Scoping Review

Health-related quality of life (HRQoL) can be assessed through measures that can be generic or disease specific, encompass several independent scales, or employ holistic assessment (i.e., the derivation of composite scores). HRQoL measures may identify patients with differential risk profiles. However, the usefulness of generic and holistic HRQoL measures in identifying patients at higher risk of death is unclear. The aim of the present study was to undertake a scoping review of generic, holistic assessments of HRQoL as predictors of mortality in general non-patient populations and clinical sub-populations with specified conditions or risk factors in persons 18 years or older. Five databases were searched from 18 June to 29 June 2020 to identify peer-reviewed published articles. The searches were updated in August 2022. Reference lists of included and cited articles were also searched. Of 2552 articles screened, 110 met criteria for inclusion. Over one-third of studies were from North America. Most studies pertained to sub-populations with specified conditions and/or risk factors, almost a quarter for people with cardiovascular diseases. There were no studies pertaining to people with mental health conditions. Nearly three-quarters of the studies used a RAND Corporation QoL instrument, predominantly the SF-36, and nearly a quarter, a utility instrument, predominantly the EQ-5D. HRQoL was associated with mortality in 67 of 72 univariate analyses (92%) and 100 of 109 multivariate analyses (92%). HRQoL was found to be associated with mortality in the general population and clinical sub-populations with physical health conditions. Whether this relationship holds in people with mental health conditions is not known. HRQoL assessment may be useful for screening and/or monitoring purposes to understand how people perceive their health and well-being and as an indicator of mortality risk, encouraging better-quality and timely patient care to support and maximize what may be a patient's only modifiable outcome.

Predictive value of neutrophil-to-apolipoprotein A1 ratio in all-cause and cardiovascular death in elderly non-valvular atrial fibrillation patients

Neutrophil-to-apolipoprotein AI ratio's (NAR's) predictive value for the elderly non-valvular atrial fibrillation (NVAF) patients' death has not been fully recognized. We consecutively enrolled 1224 elderly patients with NVAF (≥75 years). With an average follow-up of 733.35 ± 271.39 days, 222 all-cause deaths were identified. Among these, 101 were caused by cardiovascular diseases. Cox regression showed that after correcting for potential confounders, patients in the Q4 group had an increased all-cause (hazard ratio [HR] = 1.90, 95% confidence interval [CI]: 1.20-2.99) and cardiovascular death (HR = 2.59, 95% CI: 1.30-5.15) risk compared to those in the lowest NAR quartile. Kaplan-Meier analysis indicated that all-cause and cardiovascular death were higher in the high NAR than those in the lowest NAR category (log rank, all, P < 0.001). A nonlinear association was observed between death and NAR. NAR may be a promising predictive biomarker for identifying elderly NVAF patients with poor clinical prognoses.

Associations of symptoms and quality of life with outcomes in patients with atrial fibrillation

OBJECTIVE

We aimed to investigate changes in atrial fibrillation (AF)-related symptoms and quality of life (QoL) over time, and their impact on prognosis.

METHODS

We prospectively followed 3836 patients with known AF for a mean of 3.7 years. Information on AF-related symptoms and QoL was obtained yearly. The primary end point was a composite of stroke or systemic embolism. Main secondary end points included stroke subtypes, all-cause mortality, cardiovascular death, hospitalisation for congestive heart failure (CHF), myocardial infarction and major bleeding. We assessed associations using multivariable, time-updated Cox proportional hazards models.

RESULTS

Mean age was 72 years, 72% were male. Patients with AF-related symptoms (66%) were younger (70 vs 74 years, p<0.0001), more often had paroxysmal AF (56% vs 37%, p<0.0001) and had lower QoL (71 vs 72 points, p=0.009). The incidence of the primary end point was 1.05 and 1.02 per 100 person-years in patients with and without symptoms, respectively. The multivariable adjusted HR (aHR) (95% CIs) for the primary end point was 1.11 (0.77 to 1.59; p=0.56) for AF-related symptoms. AF-related symptoms were not associated with any of the secondary end points. QoL was not significantly related to the primary end point (aHR per 5-point increase 0.98 (0.94 to 1.03; p=0.37)), but was significantly related to CHF hospitalisations (0.92 (0.90 to 0.94; p<0.0001)), cardiovascular death (0.90 (0.86 to 0.95; p<0.0001)) and all-cause mortality (0.88 (0.86 to 0.90; p<0.0001)).

CONCLUSIONS

AF-related symptoms were not associated with adverse outcomes and should therefore not be the basis for prognostic treatment decisions. QoL was strongly associated with CHF, cardiovascular death and all-cause mortality.

Multimorbidity and the risk of hospitalization and death in atrial fibrillation: A population-based study

Patients with atrial fibrillation (AF) have many comorbidities and excess risks of hospitalization and death. Whether the impact of comorbidities on outcomes is greater in AF than the general population is unknown.

METHODS

One thousand four hundred thirty patients with AF and community controls matched 1:1 on age and sex were obtained from Olmsted County, Minnesota. Andersen-Gill and Cox regression estimated associations of 19 comorbidities with hospitalization and death, respectively.

RESULTS

AF cases had a higher prevalence of most comorbidities. Hypertension (25.4%), coronary artery disease (17.7%), and heart failure (13.3%) had the largest attributable risk of AF; these along with obesity and smoking explained 51.4% of AF. Over a mean follow-up of 6.3 years, patients with AF experienced higher rates of hospitalization and death than did population controls. However, the impact of comorbidities on hospitalization and death was generally not greater in patients with AF compared with controls, with the exception of smoking. Ever smokers with AF experienced higher-than-expected risks of hospitalization and death, with observed vs expected (assuming additivity of effects) hazard ratios compared with never smokers without AF of 1.78 (1.56-2.02) vs 1.52 for hospitalization and 2.41 (2.02-2.87) vs 1.84 for death.

CONCLUSIONS

Patients with AF have a higher prevalence of most comorbidities; however, the impact of comorbidities on hospitalization and death is generally similar in AF and controls. Smoking is a notable exception; ever smokers with AF experienced higher-than-expected risks of hospitalization and death. Thus, interventions targeting modifiable behaviors may benefit patients with AF by reducing their risk of adverse outcomes.

Gender differences in stroke, mortality, and hospitalization among patients with atrial fibrillation: A systematic review

OBJECTIVE

To conduct a systematic review of gender differences in stroke, mortality, and hospitalization for patients with atrial fibrillation and/or flutter (AF/Afl).

METHODS

Full texts, published, peer-reviewed, English language articles from 1999 through July 2014 were examined. Articles with populations of patients with AF/Afl were included if they conducted longitudinal analysis of any of three outcomes: stroke, mortality, and hospitalization, and reported or compared at least one of the outcomes according to gender.

RESULTS

Seventeen articles were included: sixteen on stroke, nine on mortality, and one on hospitalization. In nine articles women had more strokes (RRs 0.89-1.9). Findings about gender differences in mortality (RRs 0.69-2.8) and hospitalizations were equivocal.

CONCLUSIONS

Few articles examine differences in outcomes between men and women with AF/Afl. Given the prevalence of AF/Afl and health care costs it is vital to determine gender differences to evaluate appropriate therapies to decrease stroke, mortality, and hospitalizations.