| Literature DB >> 32915063 |
Bruce L Wilkoff1, Giuseppe Boriani2, Suneet Mittal3, Jeanne E Poole4, Charles Kennergren5, G Ralph Corey6, Andrew D Krahn7, Edward J Schloss8, Jose L Gallastegui9, Robert A Pickett10, Rudolph F Evonich11, Steven F Roark12, Denise M Sorrentino13, Darius P Sholevar14, Edmond M Cronin15, Brett J Berman16, David W Riggio17, Hafiza H Khan18, Marc T Silver19, Jack Collier20, Zayd Eldadah21, Reece Holbrook22, Jeff D Lande22, Daniel R Lexcen22, Swathi Seshadri22, Khaldoun G Tarakji1.
Abstract
BACKGROUND: In the WRAP-IT trial (Worldwide Randomized Antibiotic Envelope Infection Prevention), adjunctive use of an absorbable antibacterial envelope resulted in a 40% reduction of major cardiac implantable electronic device infection without increased risk of complication in 6983 patients undergoing cardiac implantable electronic device revision, replacement, upgrade, or initial cardiac resynchronization therapy defibrillator implant. There is limited information on the cost-effectiveness of this strategy. As a prespecified objective, we evaluated antibacterial envelope cost-effectiveness compared with standard-of-care infection prevention strategies in the US healthcare system.Entities:
Keywords: defibrillators; incidence; infections; mortality; population
Mesh:
Substances:
Year: 2020 PMID: 32915063 PMCID: PMC7566304 DOI: 10.1161/CIRCEP.120.008503
Source DB: PubMed Journal: Circ Arrhythm Electrophysiol ISSN: 1941-3084
Figure 1.Decision tree analysis. The decision tree model was developed in Microsoft Excel (Microsoft Corporation, Redmond, WA). Each event following the initial procedure was characterized by a node that occurred with a given probability, and each branch represents a mutually exclusive pathway. The total costs and payoffs associated with either treatment option was calculated by multiplying the pathway probabilities by the corresponding costs and outcomes and summing the expected costs and payoffs. The decision tree time horizon is 12 mo, and the model is extended to a lifetime perspective by assigning lumped cost/benefit estimates at end points A–H. CIED indicates cardiac implantable electronic device.
Detailed Model Inputs
Base Case Analysis Results
Figure 2.One-way sensitivity analysis. Tornado chart of the range of incremental cost-effectiveness ratio (ICER) across high and low parameter input values (input values are available in Table V in the Data Supplement). Each input was varied with all others held constant. ICER values remained below the $150K willingness-to-pay (WTP) benchmark for the majority of input variations.
Figure 3.Probablistic sensitivity analysis. The scatterplot depicts the range of incremental cost-effectiveness ratio (ICER) given probabilistic variation in model inputs. Blue dots represent individual ICER data points, whereas the red dot represents the mean ICER from the probabilistic data points. The dashed line represents the willingness-to-pay (WTP) benchmark. The ICER remained lower than the WTP in the majority (74%) of iterations. QALY indicates quality-adjusted life year.
Cost-Effectiveness of Subgroups