JOURNAL ARTICLE
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Superinfections caused by carbapenem-resistant Enterobacterales in hospitalized patients with COVID-19: a multicentre observational study from Italy (CREVID Study).

Objectives: To describe clinical characteristics and outcomes of COVID-19 patients who developed secondary infections due to carbapenem-resistant Enterobacterales (CRE).

Methods: Retrospective observational study including COVID-19 patients admitted to 12 Italian hospitals from March to December 2020 who developed a superinfection by CRE. Superinfection was defined as the occurrence of documented bacterial infection >48 h from admission. Patients with polymicrobial infections were excluded. Demographic, clinical characteristics and outcome were collected. Isolates were classified as KPC, metallo-β-lactamase (MBL) and OXA-48-producing CRE. A Cox regression analysis was performed to identify factors independently associated with 30 day mortality.

Results: Overall, 123 patients (median age 66 years, IQR 59-75) were included. The majority of infections occurred in the ICU (81, 65.9%), while 42 (34.1%) in medical wards. The most common types of infection were bloodstream infections (BSI) ( n  = 64, 52%), followed by urinary-tract infections (UTI) ( n  = 28, 22.8%), hospital-acquired/ventilator-associated pneumonia (HAP/VAP) ( n  = 28, 22.8%), intra-abdominal infections ( n  = 2, 1.6%) and skin infections ( n  = 1, 0.8%). Sixty-three (51.2%) infections were caused by KPC-, 54 (43.9%) by MBL-, and 6 (4.8%) by OXA-48-producing CRE. Thirty-day mortality was 33.3% (41/123). On Cox regression analysis, HAP/VAP compared with UTI (HR 7.23, 95% CI 2.09-24.97, P  = 0.004), BSI compared with UTI (HR 3.96, 95% CI, 1.33-11.77, P  = 0.004), lymphopenia on admission (HR 3, 95% CI 1.44-6.26, P  = 0.003) and age (HR 1.05, 95% CI 1.02-1.08, P  = 0.002) were predictors of 30 day mortality.

Conclusions: Superinfections by CRE were associated with high risk of 30 day mortality in patients with COVID-19. HAP/VAP was the strongest predictor of death in these patients.

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