Association of microbiological factors with mortality in Escherichia coli bacteraemia presenting with sepsis/septic shock: a prospective cohort study

This study aimed to determine the association of Escherichia coli microbiological factors with 30-day mortality in patients with bloodstream infection (BSI) presenting with a dysregulated response to infection (i.e. sepsis or septic shock). Whole-genome sequencing was performed on 224 E coli isolate...

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Veröffentlicht in:Clinical microbiology and infection 2024-08, Vol.30 (8), p.1035-1041
Hauptverfasser: Maldonado, Natalia, López-Hernández, Inmaculada, López-Cortés, Luis Eduardo, Martínez Pérez-Crespo, Pedro María, Retamar-Gentil, Pilar, García-Montaner, Andrea, De la Rosa Riestra, Sandra, Sousa-Domínguez, Adrián, Goikoetxea, Josune, Pulido-Navazo, Ángeles, Del Valle Ortíz, María, Natera-Kindelán, Clara, Jover-Sáenz, Alfredo, Arco-Jiménez, Alfonso del, Armiñanzas-Castillo, Carlos, Aller-García, Ana Isabel, Fernández-Suárez, Jonathan, Marrodán-Ciordia, Teresa, Boix-Palop, Lucía, Smithson-Amat, Alejandro, Reguera-Iglesias, José María, Galán-Sánchez, Fátima, Bahamonde, Alberto, Sánchez-Calvo, Juan Manuel, Gea-Lázaro, Isabel, Pérez-Camacho, Inés, Reyes-Bertos, Armando, Becerril-Carral, Berta, Pascual, Álvaro, Rodríguez-Baño, Jesús
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Sprache:eng
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Zusammenfassung:This study aimed to determine the association of Escherichia coli microbiological factors with 30-day mortality in patients with bloodstream infection (BSI) presenting with a dysregulated response to infection (i.e. sepsis or septic shock). Whole-genome sequencing was performed on 224 E coli isolates of patients with sepsis/septic shock, from 22 Spanish hospitals. Phylogroup, sequence type, virulence, antibiotic resistance, and pathogenicity islands were assessed. A multivariable model for 30-day mortality including clinical and epidemiological variables was built, to which microbiological variables were hierarchically added. The predictive capacity of the models was estimated by the area under the receiver operating characteristic curve (AUROC) with 95% confidence intervals (CI). Mortality at day 30 was 31% (69 patients). The clinical model for mortality included (adjusted OR; 95% CI) age (1.04; 1.02–1.07), Charlson index ≥3 (1.78; 0.95–3.32), urinary BSI source (0.30; 0.16–0.57), and active empirical treatment (0.36; 0.11–1.14) with an AUROC of 0.73 (95% CI, 0.67–0.80). Addition of microbiological factors selected clone ST95 (3.64; 0.94–14.04), eilA gene (2.62; 1.14–6.02), and astA gene (2.39; 0.87–6.59) as associated with mortality, with an AUROC of 0.76 (0.69–0.82). Despite having a modest overall contribution, some microbiological factors were associated with increased odds of death and deserve to be studied as potential therapeutic or preventive targets.
ISSN:1198-743X
1469-0691
1469-0691
DOI:10.1016/j.cmi.2024.04.001