Predictors of mortality after discharge in patients hospitalized with heart failure: An analysis from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) (original) (raw)
Related papers
Predictors of Post-discharge Mortality Among Patients Hospitalized for Acute Heart Failure
Cardiac failure review, 2017
Acute Heart Failure (AHF) is a " multi-event disease" and hospitalisation is a critical event in the clinical course of HF. Despite relatively rapid relief of symptoms, hospitalisation for AHF is followed by an increased risk of death and re-hospitalisation. In AHF, risk stratification from clinically available data is increasingly important in evaluating long-term prognosis. From the perspective of patients, information on the risk of mortality and re-hospitalisation would be helpful in providing patients with insight into their disease. From the perspective of care providers, it may facilitate management decisions, such as who needs to be admitted and to what level of care (i.e. floor, step-down, ICU). Furthermore, risk-stratification may help identify patients who need to be evaluated for advanced HF therapies (i.e. left-ventricle assistance device or transplant or palliative care), and patients who need early a post-discharge follow-up plan. Finally, risk stratificatio...
JACC: Heart Failure, 2015
The aim of this study was to investigate prognosis in patients with heart failure (HF) with preserved ejection fraction and the causes of hospitalization and post-hospitalization mortality. BACKGROUND Although hospitalizations in patients with HF with preserved ejection fraction are common, there are limited data from clinical trials on the causes of admission and the influence of hospitalizations on subsequent mortality risk. METHODS Patients (n ΒΌ 4,128) with New York Heart Association functional class II to IV HF and left ventricular ejection fractions >45% were enrolled in I-PRESERVE (Irbesartan in Heart Failure and Preserved Ejection Fraction). A blinded events committee adjudicated cardiovascular hospitalizations and all deaths using predefined and standardized definitions. The risk for death after HF, any-cause, or non-HF hospitalization was assessed using time-dependent Cox proportional hazard models. RESULTS A total of 2,278 patients had 5,863 hospitalizations during the 49 months of follow-up, of which 3,585 (61%) were recurrent hospitalizations. For any-cause hospitalizations, 26.5% of patients died during follow-up, with an incident mortality rate of 11.1 deaths per 100 patient-years (PYs) and an adjusted hazard ratio of 5.32 (95% confidence interval: 4.21 to 6.23). Overall, 53.6% of hospitalizations were classified as cardiovascular and 43.7% as noncardiovascular, with 2.7% not classifiable. HF was the largest single cause of initial (17.6%) and overall (21.1%) hospitalizations, although, after HF hospitalization, a substantially higher proportion of readmissions were due to primary HF causes (40%). HF hospitalization occurred in 685 patients, with 41% deaths during follow-up, an incident mortality rate of 19.3 deaths per 100 PYs. The adjusted hazard ratio was 2.93 (95% confidence interval: 2.40 to 3.57) relative to patients who were not hospitalized for HF and was greater in those with longer durations of hospitalization. There were 1,593 patients with only non-HF hospitalizations, 21% of whom died during follow-up, with an incident mortality rate of 8.7 deaths per 100 PYs and an adjusted hazard ratio of 4.25 (95% confidence interval: 3.27 to 5.32). The risk for death was highest in the first 30 days and declined over time for all hospitalization categories. Patients not hospitalized for HF or for any cause had observed incident mortality rates of 3.8 and 1.3 deaths per 100 PYs, respectively. CONCLUSIONS In I-PRESERVE, HFpEF patients hospitalized for any reason, and especially for HF, were at high risk for subsequent death, particularly early. The findings support the need for careful attention in the post-discharge time period including attention to comorbid conditions. Among those hospitalized for HF, the high mortality rate and increased proportion of readmissions due to HF (highest during the first 30 days), suggest that this group would be an appropriate target for investigation of new interventions.
Medical Archives
Introduction: Heart failure (HF) has very high rate of repeat hospitalizations due to HF decompensation (HHFD), sometimes very shortly after discharge for acute HF. Aim: The aim of this paper is to investigate rate of HHFD and to identify their possible predictors. Patients and Methods: Total amount of 222 patients hospitalized at Clinic for heart and vessel disease and rheumatism in acute HF were followed for next 18 months for occurrence of HHFD. During hospitalization were collected demographic data, risk factors, routine laboratory tests and admission BNP (brain natriuretic peptide), discharge BNP, percentage change of BNP during hospitalization, high sensitive troponin I, CA125 (cancer antigen125) and cystatin C. Results: In next 18 months 129 patients (58.11%) reached end-point HHFD-mean time of its occurrence was 2.2 (95% CI=1.67-2.7) months. Patients with HHFD had more often arterial hypertension (HTA) (p=0.006), had higher BMI (p=0.035) and had higher values of bilirubin, admission BNP (p=0.031), discharge BNP (p <0.001), CA125 (p=0.023) and cystatin C (p=0.028). There was no difference in troponin values (p=0.095), while % reduction of BNP during hospitalization was lower (p<0.001) in group with HHFD. In univariate Cox hazard analysis HTA was positively and BMI negatively correlated with HHFD, while in multivariate Cox hazard analysis independent predictors were HTA (HR 1.6; 95% CI=1.1-2.2; p=0.018) and BMI<25 (HR 1.6; 95% CI=1.1-2.3; p=0.007). In univariate Cox hazard analysis admission BNP, discharge BNP, rise of BNP during hospitalization, CA125 and bilirubin were positively correlated, while sodium was negatively correlated with HHFD. In multivariate Cox hazard analysis there was only one independent predictor of HHFD-discharge BNP (HR 6.05; 95% CI=1.89-19.4; p=0.002). Conclusion: Arterial hypertension, BMI>25 and discharge BNP are independent predictors of HHFD. This could help us to identify high-risk patients for readmission who should be monitored more frequently and treated with sophisticated drug and device therapy.
The Medical Journal of Australia, 2018
The known Rates of early re-admission and death after hospitalisation for heart failure are high. The new Significant differences in 30-and 90-day re-admission rates after hospitalisation for heart failure are largely related to differences in post-discharge disease management. Nurse-led disease management programs combined with 7-day review or an exercise program were particularly effective in reducing re-admission rates, but not mortality. [D], Tasmania [E, F]). The hospitals were selected because of their expertise and their role in regional care for patients with HF. All had high level cardiology services, including coronary care units, non-invasive cardiac imaging (echocardiography and nuclear imaging), percutaneous intervention, and pacing and device therapy; all but one provided cardiac surgery. Patients were identified by a confirmed admission diagnosis of HF according to Australian guidelines. 15 Data were collected by a study nurse. Patients were excluded if they were under 18 years of age or unable to provide written consent, or had moderate or worse primary mitral or aortic valve disease, concomitant unstable angina or acute myocardial infarction, cardiac device malfunction, endocarditis, a left ventricular assist device, potentially reversible left ventricular dysfunction