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The burden of left ventricular assist device (LVAD) infections on costs, lengths of stay, antimicrobial consumption and resistance: a prospective case control approach

Matthew Ficinski, Jennifer West, Shannon Glassman, Katrina J. Wojciechowski, Jennifer Gutowski, M. Laguio-Vila, S. Feitell, Emil P Lesho

Antimicrobial Resistance and Infection Control, 2024

110 participants · 3 citations

Abstract

Congestive heart failure has reached pandemic levels, and left-ventricular assist devices (LVAD) are increasingly used to treat refractory heart failure. Infection is a leading complication of LVADs. Despite numerous reports (most being retrospective), several knowledge gaps pertaining to the epidemiology and burden of an LVAD-associated infection (LVADi) remain. We sought to address these gaps using a prospective, case-control design. All patients who received an LVAD from November 1, 2018 to August 31, 2023 (n = 110) were included and prospectively monitored until death. Data were extracted from clinical encounters and medical records in real-time or near real-time and imported to Excel and REDcap electronic data capture tools. An LVADi was ascertained using definitions from the mechanical circulatory support academic research consortium in conjunction with and the U.S. National Health Safety Network. All meeting those definitions were included as ‘cases.’ Patients with no LVADi were controls. Excess lengths-of-stays (LOS) and direct costs were calculated from billing records using a commercial cost accounting software platform (Strata®, Chicago, IL). The amount of healthcare contact before implantation and discharge to a rehabilitation or skilled nursing facility instead of home were the primary risks for infection, resulting in mean excesses of 25 hospital and 60 antibiotic-days and $43,000 per event. One-third occurred > 1 year after implantation. 35% developed > 1…

How strong is the evidence?

Evidence Hub reads this as a case-control, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 110 participants or records.

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