<p>Prognostic value of health-related quality of life in elderly patients hospitalized with heart failure</p>

Abstract

Purpose: Previous research has shown that poor health-related quality of life (HRQOL) is associated with adverse long-term prognosis in patients with heart failure (HF); however, there have been inconsistencies among studies and not all of them confirmed the prognostic value of HRQOL. In addition, few studies involved elderly patients and most focused on all-cause mortality and HF-related hospitalization as outcomes. The aim of our study was to determine whether HRQOL is a predictor and an independent predictor of long-term cardiac mortality, all-cause mortality, and HF-related rehospitalization in elderly patients hospitalized with HF. Patients and methods: This prospective observational study included 200 elderly patients hospitalized with HF in Serbia. HRQOL was measured using the Minnesota Living with Heart Failure questionnaire (MLHFQ). The median follow-up period was 28 months. The primary outcome was cardiac mortality, and all-cause mortality and HF-related rehospitalization were secondary outcomes. Survival analysis was conducted using the Kaplan–Meier method and Cox-proportional hazards regression. Results: Subjects with poor HRQOL (higher than the median MLHFQ score) had a higher probability of cardiac mortality ( P =0.029) and HF-related rehospitalization ( P =0.001) during long-term follow-up. Poor HRQOL was an independent predictor of cardiac mortality (HR: 2.051, 95% CI: 1.260–3.339, P =0.004), all-cause mortality (HR: 1.620, 95% CI: 1.076–2.438, P =0.021), and HF-related rehospitalization (HR: 2.040, 95% CI: 1.290–3.227, P =0.002). Conclusion: HRQOL is an independent predictor of long-term cardiac mortality in elderly patients hospitalized with HF. It also independently predicts all-cause mortality and HF-related rehospitalization. HRQOL could be used as a complementary clinical predictive tool in this patient population.

A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure

“…Many studies show that HRQOL is independent predictive factors of prognosis for inpatients with HF and that they have important predictive value [ 12 , 13 ] and nomogram based on Cox regression has been widely used to predict the survival time of chronic diseases, especially cancer [ 30 – 32 ]. However, as far as we know, there have been no studies based on it to construct the quantitative model to predict the probability of readmission for patients with CHF.…”

“…A number of clinical studies predicting hospitalization for the deterioration of HF have been summarized in detail by Rahimi et al [ 6 , 7 ] The majority of effective models were built based on clinical data collected from discharge records of patients [ 8 ]; however, research indicates that high health-related quality of life (HRQOL) predicts a more favorable prognosis in patients with cardiovascular disease [ 9 ]. Thus, HRQOL should be used as a new prognostic indicator for HF patients [ 10 , 11 ], and as an independent predictive factor of readmission with HF [ 12 , 13 ].…”

Evaluation of Health-Related Quality of Life in Patients With Diabetes in Different Care Settings a Cross Sectional Study in Alain, Uae

“…A focus on work-life balance will lead to improved mental well-being and QOL [28] . Additionally, QOL was found to be a predictor of mortality [29] .…”

A Nomogram based on a Patient-reported Outcomes Measure: Predicting the Risk of Readmission for Patients with Chronic Heart Failure

“…Many studies show that HRQOL is independent predictive factors of prognosis for inpatients with HF and that they have important predictive value. [12,13] However, as far as we know, there have been no studies based on it to construct the quantitative model to predict the probability of readmission for patients with CHF. This study constructed a simple intuitive graph of the prediction model based on PROM to quantify the risk of readmission for CHF.…”