Sepsis Weekly 2023/01/15

The association of diastolic arterial pressure and heart rate with mortality in septic shock: a retrospective cohort study

https://pubmed.ncbi.nlm.nih.gov/36496399/

How sepsis parallels and differs from COVID-19

https://pubmed.ncbi.nlm.nih.gov/36470836/

Sepsis biomarkers and diagnostic tools with a focus on machine learning

https://pubmed.ncbi.nlm.nih.gov/36470834/

Immunopathophysiology of human sepsis

https://pubmed.ncbi.nlm.nih.gov/36470832/

Current sepsis therapeutics

https://pubmed.ncbi.nlm.nih.gov/36470828/

Lymphopenia in sepsis-an acquired immunodeficiency?

https://pubmed.ncbi.nlm.nih.gov/36468797/

Impact of early empirical antifungal therapy on prognosis of sepsis patients with positive yeast culture: A retrospective study from the MIMIC-IV database

https://pubmed.ncbi.nlm.nih.gov/36466647/

Machine learning models to predict in-hospital mortality in septic patients with diabetes

https://pubmed.ncbi.nlm.nih.gov/36465642/

Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model

https://pubmed.ncbi.nlm.nih.gov/36528689/

Effect of Serum Ferritin on the Prognosis of Patients with Sepsis: Data from the MIMIC-IV Database

https://pubmed.ncbi.nlm.nih.gov/36523541/

Association Between Lactate and 28-Day Mortality in Elderly Patients with Sepsis: Results from MIMIC-IV Database

https://pubmed.ncbi.nlm.nih.gov/36520327/

Calprotectin as a diagnostic marker for sepsis: A meta-analysis

https://pubmed.ncbi.nlm.nih.gov/36519133/

Presentation of the septic patient to the emergency department with respect to age and sex - a retrospective cross-sectional study

https://pubmed.ncbi.nlm.nih.gov/36513984/

Audit of a computerized version of the Manchester triage system and a SIRS-based system for the detection of sepsis at triage in the emergency department

https://pubmed.ncbi.nlm.nih.gov/36513965/

Association between timing and adequacy of antibiotics and adverse outcomes in patients with sepsis and septic shock: A multicentre retrospective cohort study

https://pubmed.ncbi.nlm.nih.gov/36509513/

Deep phenotyping of oxidative stress in emergency room patients reveals homoarginine as a novel predictor of sepsis severity, length of hospital stay, and length of intensive care unit stay

https://pubmed.ncbi.nlm.nih.gov/36507541/

Fluids or vasopressors for the initial resuscitation of septic shock

https://pubmed.ncbi.nlm.nih.gov/36507525/

A case-control study evaluating the unnecessary use of intravenous broad-spectrum antibiotics in presumed sepsis and septic-shock patients in the emergency department

https://pubmed.ncbi.nlm.nih.gov/36505948/

Identifying high-risk phenotypes and associated harms of delayed time-to-antibiotics in patients with ICU onset sepsis: A retrospective cohort study

https://pubmed.ncbi.nlm.nih.gov/36565649/

Sepsis as a Challenge for Personalized Medicine

https://pubmed.ncbi.nlm.nih.gov/36556211/

A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency department

https://pubmed.ncbi.nlm.nih.gov/36550392/

Reduced oxygen saturation entropy is associated with poor prognosis in critically ill patients with sepsis

https://pubmed.ncbi.nlm.nih.gov/36541282/

Monocyte distribution width (MDW) as a useful indicator for early screening of sepsis and discriminating false positive blood cultures

https://pubmed.ncbi.nlm.nih.gov/36538555/