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16 April 2019 - P2510
Alterations in markers of infection and inflammation after surgery in hospitalised patients
16 April 2019 - P2479
Assessment of machine learning models in predicting all-cause mortality among hospitalised patients with bloodstream infection
16 April 2019 - P2476
Role of procalcitonin in predicting aetiology in bacteraemic patients: report from a large single-centre experience
16 April 2019 - P2483
EPIC fail? Delays to antibiotic administration despite integrated electronic prescribing
16 April 2019 - P2478
A new simple bioscore is useful in diagnosis of sepsis and predicting mortality in critical patients
16 April 2019 - P2506
Studying the impact of leucocyte response to infections on endothelial cells reveal novel druggable pathways in sepsis
16 April 2019 - P2493
Sepsis and clinical deterioration prediction based on a machine learning model
16 April 2019 - P2500
Deciphering septic shock patients' heterogeneity using immune functional assays: a proof of concept study
16 April 2019 - P2501
Role of inherited thrombophilic profile on survival of septic patients
16 April 2019 - P2494
Red cell distribution width is a good predictor of sepsis outcome
16 April 2019 - P2485
Kinetic characteristics and connections with outcomes of CRP and PCT among adult patients hospitalised with community-acquired sepsis
16 April 2019 - P2477
Ineffectiveness of procalcitonin-guided antibiotic therapy in severely critically ill patients: a meta-analysis
16 April 2019 - P2480
Quick sequential organ failure assessment and systemic inflammatory response syndrome underestimate the outcome in sepsis patients in the emergency department due to the "treatment paradox"
16 April 2019 - P2499
Prognostic markers in sepsis: additional prognostic value of red blood cell distribution width in patients with suspected infection in the emergency department
16 April 2019 - P2492
Signalling sepsis: optimizing clinical decision support for sepsis diagnosis and treatment
16 April 2019 - P2489
Validation of a causal probabilistic network model for prediction of bacteraemia and mortality among patients with blood cultures drawn in the emergency department
16 April 2019 - P2504
Clinical routine biomarkers in combination for early identification of patients with bacterial sepsis
16 April 2019 - P2496
Quantification of microRNAs in plasma from septic patients
16 April 2019 - P2482
Utilisation of echocardiography during septic shock was associated with a decreased 28-day mortality
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