Implantable device diagnostics on day of discharge identify heart failure patients at increased risk for early readmission for heart failure.
Publication/Presentation Date
4-1-2014
Abstract
AIMS: We hypothesized that diagnostic data in implantable devices evaluated on the day of discharge from a heart failure hospitalization (HFH) can identify patients at risk for HF readmission (HFR) within 30 days.
METHODS AND RESULTS: In this retrospective analysis of four studies enrolling patients with CRT devices, we identified patients with a HFH, device data on the day of discharge, and 30-day post-discharge clinical follow-up. Four diagnostic criteria were evaluated on the discharge day: (i) intrathoracic impedance>8 Ω below reference impedance; (ii) AF burden>6 h; (iii) CRT pacing< 90%; and (iv) night heart rate>80 b.p.m. Patients were considered to have higher risk for HFR if ≥2 criteria were met, average risk if 1 criterion was met, and lower risk if no criteria were met. A Cox proportional hazards model was used to compare the groups. The data cohort consisted of a total of 265 HFHs in 175 patients, of which 36 (14%) were followed by HFR. On the discharge day, ≥2 criteria were met in 43 (16% of 265 HFHs), only 1 criterion was met in 92 (35%), and none of the four criteria were met in 130 HFHs (49%); HFR rates were 28, 16, and 7%, respectively. HFH with ≥2 criteria met was five times more likely to have HFR compared with HFH with no criteria met (adjusted hazard ratio 5.0; 95% confidence interval 1.9–13.5, P=0.001).
CONCLUSION: Device-derived diagnostic criteria evaluated on the day of discharge identified patients at significantly higher risk of HFR.
Volume
16
Issue
4
First Page
419
Last Page
425
ISSN
1879-0844
Published In/Presented At
Small, R. S., Whellan, D. J., Boyle, A., Sarkar, S., Koehler, J., Warman, E. N., & Abraham, W. T. (2014). Implantable device diagnostics on day of discharge identify heart failure patients at increased risk for early readmission for heart failure. European journal of heart failure, 16(4), 419–425. https://doi.org/10.1002/ejhf.48
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
24464745
Department(s)
Administration and Leadership
Document Type
Article