A matched case-control study on Escherichia coli factors contributing to sepsis and septic shock in bacteraemic patients
Year: 2026
Type: article
Study design: Observational Study
Abstract: One third of patients with Escherichia coli bacteraemia develop a dysregulated inflammatory response (sepsis/septic shock). Our objective was to investigate whether specific microbiological determinants of E. coli are associated to presentation with sepsis/shock. A matched case-control study was performed; 101 case-patients with E. coli bacteraemia presenting with sepsis (SEPSIS-3 criteria) and 101 control-patients with E. coli bacteraemia without sepsis were matched by service, sex, age, Charlson index, acquisition and source of the bacteraemia and empirical treatment. Whole genome sequencing of E. coli isolates was performed (Illumina MiSeq Inc.). Sequence type, serotype, fimH type, virulence factors, antibiotic resistance genes, plasmid replicons pathogenicity islands and prophages were determined. A multivariate model was built for presentation with sepsis/septic shock using conditional logistic regression. The predictive capacity on the observed data was measured with the area under the ROC curve (AUROC) with 95% confidence intervals (CI). Here we show that in the multivariate model (adjusted OR; 95% CI), the ST69 clone (7.53; 1.06-35.05) and pic gene (4.38; 1.53-12.54) are associated to presentation with sepsis/shock, while the genes papC (0.30; 0.12-0.74) and fdeC (0.18; 0.03-1.32) show a protective effect. The AUROC of this model is 0.81 (95% CI 0.74-0.87). We identify E. coli bacterial factors associated with severe clinical presentation in patients with bacteraemia. Further studies would be needed to consider these factors as potential preventive or therapeutic targets. Escherichia coli is the most common cause of invasive infections, including bacteraemia that often progresses to severe conditions like sepsis or septic shock. While many host factors determine the severity of illness, this study looked at the bacterial factors that may contribute to sepsis severity. We directly compared E. coli-infected patients with similar traits but either with or without sepsis to control for patient factors Our analysis revealed that the ST69 clone and the presence of the pic gene were significantly associated with an increased risk of sepsis/septic shock, whereas the adhesion genes papC and fdeC were associated with a lower risk. These key findings underscore a role for specific E. coli genetic factors in determining clinical severity, thereby providing potential bacterial targets for the development of improved diagnostics and novel preventive or therapeutic interventions. Maldonado, Lopez-Hernandez, et al. use a matched case-control study to compare E. coli-infected patients with or without sepsis. Their analysis shows that the ST69 clone is associated with risk of sepsis development, and certain genetic factors such as adhesion genes papC and fdeC were associated with a protective effect.
Source: Communications Medicine
Authors: Natalia Maldonado, Inmaculada López-Hernández, John Karlsson Valik, Luis Eduardo López-Cortes, Pedro María Martínez Pérez-Crespo, Andrea García-Montaner, Manuel Alcalde-Rico, Adrián Sousa-Domínguez, Alfredo Jover Sáenz, Josune Goikoetxea, Ángeles Pulido-Navazo, Luis Buzón-Martín, Ana Isabel Aller, Lucía Boix-Palop, Alfonso del Arco-Jiménez, Alejandro Smithson-Amat, Juan Manuel Sánchez Calvo, Clara Natera- Kindelán, José Mª Reguera Iglesias, Carlos Armiñanzas-Castillo, Fátima Galán-Sánchez, Alberto Bahamonde, Isabel Gea-Lázaro, Cristian Castelló-Abietar, Inés Pérez-Camacho, Teresa Marrodán-Ciordia, Berta Becerril-Carral, Pontus Naucler, Álvaro Pascual-Hernández, Jesús Rodríguez-Baño, On behalf of the PROBAC REIPI/GEIRAS-SEIMC/SAMICEI Group, Inmaculada López Hernández, Luis Eduardo López-Cortés, Pilar Retamar-Gentil, Álvaro Pascual, Jesús Rodríguez-Baño, Joaquín Lanz García, Pedro María Martínez Pérez-Crespo, Ana Isabel Aller García, Eva León Jiménez, Juan Corzo Delgado, María Teresa Pérez Rodríguez, Fernando Barcenilla Gaite, Ane Josune Goikoetxea Aguirre, Miguel Montejo Baranda, Ángeles Pulido Navazo, Jordi Cuquet Pedragosa, Cristina Labayru Echeverría, María Ángeles Mantecón Vallejo, Lucía Boix Palop, Esther Calbo Sebastián, Alfonso del Arco Jiménez, Alejandro Smithson Amat, Clara Natera Kindelán, José María Reguera Iglesias, Carlos Armiñanzas Castillo, María del Carmen Fariñas Álvarez, Fátima Galán Sánchez, Alberto Bahamonde Carrasco, Isabel Gea Lázaro, Jonathan Fernández Suárez, Inés Pérez Camacho, Teresa Marrodán Ciordia, Marta Arias Temprano, Berta Becerril Carral, Jesús Canueto Quintero, Armando Reyes Bertos, Antonio Sánchez Porto, David Vinuesa García, Marcos Guzmán García, Patricia Jiménez Aguilar, Juan Pasquau
Institutions: Instituto de Salud Carlos III, Hospital Universitario Virgen Macarena, Instituto de Biomedicina de Sevilla, Centro de Investigación Biomédica en Red Enfermedades Infecciosas, Universidad de Sevilla, Karolinska University Hospital, Karolinska Institutet, Hospital Universitario de Valme, Universitat Politècnica de València, University Hospital Complex Of Vigo, Hospital Universitari Arnau de Vilanova, Hospital de Cruces, Hospital General de Granollers, Hospital Universitario de Burgos, University Hospital Mútua de Terrassa, Mútua Terrassa, Hospital Costa del Sol, Biomedical Research and Innovation Institute of Cadiz, Hospital Universitario de Jerez, Hospital Universitario Reina Sofía, Hospital Regional Universitario de Málaga, Andalusian Centre for Nanomedicine and Biotechnology, Instituto de Investigación Biomédica de Málaga, Marqués de Valdecilla University Hospital, Instituto de Investigación Marqués de Valdecilla, Hospital Universitario Puerta del Mar, Hospital El Bierzo, Complejo Hospitalario de Jaén, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias, Hospital de Poniente, Hospital Universitario de León, Consejo Superior de Investigaciones Científicas, Complejo Hospitalario Torrecárdenas, Hospital San Juan de la Cruz, Hospital Universitario Puerto Real, Hospital Universitario Virgen de las Nieves
Language: English
Subfield: Endocrinology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,690
OpenAlex ID: W7123343434
