Infection following CF-LVAD exchange for non-infectious indications: A systematic review and meta-analysis

Autor: Amrita Sukhavasi, Cameron M. Blazoski, Elizabeth J. Maynes, Chelsey T Wood, Matthew P Weber, Thomas J O’Malley, Indranee Rajapreeyal, H Todd Massey, Vakhtang Tchantchaleishvili
Rok vydání: 2022
Předmět:
Zdroj: The International Journal of Artificial Organs. 46:22-28
ISSN: 1724-6040
0391-3988
Popis: Introduction: Patients on continuous flow left ventricular assist devices (CF-LVADs) often require CF-LVAD exchange. The purpose of this study was to investigate the incidence of infection following CF-LVAD exchange performed for non-infectious indications. Methods: An electronic literature search was performed to identify all studies of patients undergoing CF-LVAD exchange for pump thrombosis or device malfunction. Of 2,698 articles identified, 6 studies with 81 total patients met the inclusion criteria. Cohort-level data were pooled for meta-analysis. Results: Mean patient age was 60 years (95% CI: 41–78), and 74% were male (95% CI: 61–84). Pump thrombosis was the most common indication for exchange in 70% of patients (95% CI: 47–86). Other indications were driveline fracture and electrical malfunction in 21% (95% CI: 5–56) and 12% (95% CI: 4–33) of patients, respectively. Prior to exchange, 95% of patients were on HeartMate II (HM2) LVADs (95% CI: 86–98) and average duration of support for these patients was 27.1 months (95% CI: 9.3–44.8). The majority were placed on a HM2 following exchange (88% (95% CI: 45–98)) versus HM3 (12% (95% CI: 2–55)). Follow-up was an average of 16.4 months (95% CI: 6.8–26.0). Following exchange, 16 of 81 patients developed infection, with pooled mean incidence of 24% (95% CI: 14–38). 30-day mortality was 14% (95% CI: 7–26). Survival at follow-up was 65% (95% CI: 52–76). Conclusions: Infection following CF-LVAD exchange can occur at rates higher than those observed with primary implantation; therefore, effective strategies need to implemented early and consistently to help lower infections rates and help improve outcomes following exchange.
Databáze: OpenAIRE
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