Background:
Reducing 30 day readmission rates for patients with heart failure (HF) has been a recent focus of lowering health care expenditures. Hemodynamic profiles (HP) have been associated with clinical outcomes in chronic systolic HF. The relationship of HP to outcomes in acute decompensated diastolic HF (DHF) has not been defined.
Methods:
This case-control study of 1892 DHF patients discharged alive from an academic hospital between 2002-2012 with left ventricular function greater or equal to 45% were categorized into 4 groups: Profile A, no evidence of congestion and hypoperfusion (dry-warm); Profile B, congestion with adequate perfusion (wet-warm); Profile C, congestion with hypoperfusion (wet-cold); and Profile L, hypoperfusion without congestion (dry-cold). All cause readmissions at 30 days and 1 year and mortality at 30 days and 1 year were examined. Statistical analysis using multivariable Cox Proportional hazard model was performed adjusting for demographic, clinical, care and hospital characteristics.
Results:
Of the 1892 patients, 1196 (63%) were females; mean age was 68 (±14) years. There were 724(38%), 1000 (53%), 88(5%) and 80 (4%) patients in the hemodynamic profiles A, B, C and L respectively. Profiles B and C were associated with an increased risk for 30-day all-cause HF readmission compared to profiles A and L: Hazard ratio (HR) [1.38 (95% C.I 1.17-1.61)], [1.39 (95% C.I 1.18-1.62)] for B and C profiles respectively. Profiles C and L were associated with increased mortality at 1 year: HR [1.46 (95% CI 1.06-1.89)] and [1.31 (95% CI 1.01-1.64)] for A and L profiles respectively (Table).
Conclusions:
Clinical assessment of HP can help identify DHF patients at increased risk of readmission and mortality, similar to systolic heart failure patients.
Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls
