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Change in health-related quality of life in patients with coronary artery disease predicts 4-year mortality
Authors:Stefan Höfer  Werner Benzer  Neil Oldridge
Institution:1. Department of Medical Psychology, Innsbruck Medical University, Austria;2. Department of Interventional Cardiology, Academic Hospital, Feldkirch, Austria;3. College of Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA;4. Aurora Cardiovascular Services, Aurora St. Luke''s Medical Center, Milwaukee, WI, USA
Abstract:

Aims

Self-reported health-related quality of life (HRQL) and changes in HRQL have been shown to predict mortality and/or adverse events in patients with coronary artery disease. MacNew Heart Disease HRQL questionnaire scores were examined as predictors of 4-year all-cause mortality.

Methods

Following referral for angioplasty in 385 patients with coronary artery disease, data were analyzed for differences in all-cause mortality by MacNew Global and subscale baseline and 1- and 3-month change scores (deteriorated ≥ 0.50; unchanged (− 0.49 to + 0.49); and improved ≥ 0.50 points).

Results

Mean baseline, 1-month, and 3-month MacNew Global and subscale scores were similar in survivors and non-survivors. Mean 1- and 3-month Global and emotional subscale and mean 1-month social subscale change scores decreased more in non-survivors than survivors. Compared with patients whose Global MacNew HRQL scores improved at one month, 4-year all-cause mortality hazard ratio (HR) was higher in patients whose HRQL deteriorated (HR, 1.70, 95% CI, 1.09, 2.65; p = 0.021). Compared with patients whose Global MacNew HRQL improved at three months, 4-year all-cause mortality was higher in both patients whose HRQL had deteriorated (HR, 2.07, 95% CI, 1.29, 3.32; p = 0.003) and patients with unchanged HRQL (HR, 2.62, 95% CI, 1.11, 6.17; p = 0.028).

Conclusions

A deterioration of ≥ 0.50 points in MacNew HRQL Global scores at both one and three months is predictive of 4-year all-cause mortality. Serial HRQL information may be useful to identify patients at higher risk for adverse cardiac events and mortality and may have implications for determining follow-up frequency and treatment in individual patients.
Keywords:Health-related quality of life  Mortality  Predictors
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