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00925njm 22002777a 4500 dc Martínez Pérez-Crespo, Pedro María author Rojas, Álvaro author Lanz-García, Joaquín Felipe author Retamar-Gentil, Pilar author Reguera-Iglesias, José María author Lima-Rodríguez, Olalla author Del Arco Jiménez, Alfonso author Fernández Suárez, Jonathan author Jover-Saenz, Alfredo author Goikoetxea Aguirre, Josune author León Jiménez, Eva author Cantón-Bulnes, María Luisa author Ortega Lafont, Pilar author Armiñanzas Castillo, Carlos author Sevilla Blanco, Juan author Cuquet Pedragosa, Jordi author Boix-Palop, Lucía author Becerril Carral, Berta author Bahamonde-Carrasco, Alberto author Marrodan Ciordia, Teresa author Natera Kindelán, Clara author Reche Molina, Isabel María author Herrero Rodríguez, Carmen author Pérez Camacho, Inés author Vinuesa García, David author Galán-Sánchez, Fátima author Smithson Amat, Alejandro author Merino de Lucas, Esperanza author Sánchez-Porto, Antonio author Guzmán García, Marcos author López-Hernández, Inmaculada author Rodríguez-Baño, Jesús author López-Cortés, Luis Eduardo author On Behalf Of The Probac Reipi/Geih-Seimc/Saei Group, author 2022-05-24 Community-onset bloodstream infections (CO-BSI) caused by gram-negative bacilli are common and associated with significant mortality; those caused by Pseudomonas aeruginosa are associated with worse prognosis and higher rates of inadequateempirical antibiotic treatment. The aims of this study were to describe the characteristics of patients with CO-BSI caused by P. aeruginosa, to identify predictors, and to develop a predictive score for P. aeruginosa CO-BSI. Materials/methods: PROBAC is a prospective cohort including patients >14 years with BSI from 26 Spanish hospitals between October 2016 and May 2017. Patients with monomicrobial P. aeruginosa CO-BSI and monomicrobial Enterobacterales CO-BSI were included. Variables of interest were collected. Independent predictors of Pseudomonas aeruginosa CO-BSI were identified by logistic regression and a prediction score was developed. Results: A total of 78patients with P. aeruginosa CO-BSI and 2572 with Enterobacterales CO-BSI were included. Patients with P. aeruginosa had a median age of 70 years (IQR 60−79), 68.8% were male, median Charlson score was 5 (IQR 3−7), and 30-daymortality was 18.5%. Multivariate analysis identified the following predictors of CO-BSI-PA [adjusted OR (95% CI)]: male gender [1.89 (1.14−3.12)], haematological malignancy [2.45 (1.20−4.99)], obstructive uropathy [2.86 (1.13−3.02)], source of infection other than urinary tract, biliary tract or intra-abdominal [6.69 (4.10−10.92)] and healthcare-associated BSI [1.85 (1.13−3.02)]. Anindex predictive of CO-BSI-PA was developed; scores ≥ 3.5 showed a negative predictive value of 89% and an area under the receiver operator curve (ROC) of 0.66. Conclusions: We did not find a good predictive score of P. aeruginosa CO-BSI due to its relatively low incidence in the overall population. Our model includes variables that are easy to collect in real clinical practice and could be useful to detect patients with very low risk of P. aeruginosa CO-BSI. 2079-6382 http://hdl.handle.net/10668/20761 http://hdl.handle.net/20.500.12105/18658 35740114 10.3390/antibiotics11060707 Antibiotics (Basel, Switzerland) Pseudomonas aeruginosa bacteraemia bloodstream infection community-onset epidemiology Pseudomonas aeruginosa Community-Onset Bloodstream Infections: Characterization, Diagnostic Predictors, and Predictive Score Development-Results from the PRO-BAC Cohort.