Identification and validation of clinical phenotypes in Staphylococcus aureus bloodstream infection and their association with mortality (FEN-AUREUS study)

Staphylococcus aureus bacteraemia (SAB) is heterogeneous in patients and infection-related features. The aim of the study was to identify clinical phenotypes among patients with SAB, to evaluate their association with mortality, and to derive and validate a simplified probabilistic model for phenoty...

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Published in:EClinicalMedicine Vol. 83; p. 103240
Main Authors: Gutiérrez-Gutiérrez, Belén, Gallego-Mesa, Belén, Kaasch, Achim J., Riediger, Matthias, Rieg, Siegbert, Trigo, Marta, Salto-Alejandre, Sonsoles, Anguita-Santos, Francisco, Cano, Ángela, Prolo-Acosta, Andrea, López-Cárdenas, Salvador, Pérez-Rodríguez, María Teresa, Martínez-Marcos, Francisco Javier, Merino-Lucas, Esperanza, Anaya-Baz, Blanca, Arizcorreta, Ana, Plata-Ciézar, Antonio, Piscaglia, Marco, Aceituno, Alexandra, Romero-Calderón, Lidia, Hornuss, Daniel, Alemán-Rodríguez, Aurora, Gimeno-Gascón, Adelina, Recacha, Esther, Torre-Cisneros, Julián, Merchante, Nicolás, Pascual, Álvaro, López-Cortés, Luis Eduardo, Rodríguez-Baño, Jesús
Format: Journal Article
Language:English
Published: England Elsevier Ltd 01.05.2025
Elsevier
Subjects:
Bacteraemia
Clinical profiles
Internal Medicine
Mortality
Phenotypes
Staphylococcus aureus
Bacteraemia
Clinical profiles
Phenotypes
Mortality
Staphylococcus aureus
ISSN:2589-5370, 2589-5370
Online Access:Get full text
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Summary:Staphylococcus aureus bacteraemia (SAB) is heterogeneous in patients and infection-related features. The aim of the study was to identify clinical phenotypes among patients with SAB, to evaluate their association with mortality, and to derive and validate a simplified probabilistic model for phenotypes assignment. Phenotypes were derived using two-stage cluster analysis of 2128 patients from the ISAC cohort (recruited between 2013 and 2015), analysing 62 variables. Cox regression assessed phenotype–mortality associations. Logistic regression was employed to develop a simplified probabilistic model for sub-phenotype allocation, validated in two external international cohorts: INSTINCT (1217 patients, recruited between 2006 and 2011) and FEN-AUREUS (1185 patients, recruited between January 2021 and October 2024). The association between sub-phenotypes and 30-day mortality in the validation cohorts was also assessed. Cluster analysis identified three clinical phenotypes based on the probable portal of entry: A (skin and soft tissues), 458 cases; B (vascular device-associated), 573 cases; and C (other portals of entry or unknown), 1097 cases. Their 30-day mortality was significantly different (13·1%, 18·2% and 25·3%, respectively, p < 0·001). Each phenotype contained two sub-phenotypes with differing characteristics and mortality risks. Also, three phenotypes were found in the INSTINCT cohort, which clustered on the same portals of entry, with two sub-phenotypes in each. When the simplified probabilistic model was applied, the sub-phenotypes showed significant associations with 30-day mortality in both validation cohorts. In INSTINCT, the aHRs were 1·93 (A2 vs A1), 3·40 (B2 vs B1), and 3·04 (C2 vs C1). In FEN-AUREUS, the aHRs were 2·02 (A2 vs A1), 2·11 (B2 vs B1), and 2·44 (C2 vs C1). Patients with SAB can be classified into phenotypes and sub-phenotypes, each exhibiting considerable variations in mortality rates. To facilitate clinical application, a validated open-access algorithm and calculator for phenotype and sub-phenotype assignment have been developed, enabling their use at the time of SAB confirmation. This tool aims to support timely and personalised patient care. Instituto de Salud Carlos III, Spanish Ministry of Science, Innovation and Universities (PI21/01801).
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ISSN:2589-5370
2589-5370
DOI:10.1016/j.eclinm.2025.103240