Objective: In hospitalized patients, the risk of sepsis-related mortality can be assessed using the quick Sepsis-related Organ Failure Assessment (qSOFA). Currently, different tools that predict deterioration such as the National Early Warning Score (NEWS) have been introduced in clinical practice in Emergency Departments (ED) worldwide. It remains ambiguous which screening tool for mortality at the ED is best. The objective of this study was to evaluate the predictive performance for mortality of two sepsis-based scores (i.e. qSOFA and Systemic Inflammatory Response Syndrome (SIRS)-criteria) compared to the more general NEWS score, in patients with suspected infection directly at presentation to the ED.

Methods: We performed a retrospective cohort study. Patients who presented to the ED between June 2012 and May 2016 with suspected sepsis in a large tertiary care center were included. Suspected sepsis was defined as initiation of intravenous antibiotics and/or collection of any culture in the ED. Outcome was defined as 10-day and 30-day mortality after ED presentation. Predictive performance was expressed as discrimination (AUC) and calibration using Hosmer-Lemeshow goodness-of-fit test. Subsequently, sensitivity, and specificity were calculated.

Results: In total 8,204 patients were included of whom 286 (3.5%) died within ten days and 490 (6.0%) within 30 days after presentation. NEWS had the best performance, followed by qSOFA and SIRS (10-day AUC: 0.837, 0.744, 0.646, 30-day AUC: 0.779, 0.697, 0.631). qSOFA (≥2) lacked a high sensitivity versus SIRS (≥2) and NEWS (≥7) (28.5%, 77.2%, 68.0%), whilst entailing highest specificity versus NEWS and SIRS (93.7%, 66.5%, 37.6%).

Conclusions: NEWS is more accurate in predicting 10- and 30-day mortality than qSOFA and SIRS in patients presenting to the ED with suspected sepsis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347138PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211133PLOS

Publication Analysis

Top Keywords

suspected sepsis
16
qsofa sirs
12
patients suspected
8
retrospective cohort
8
cohort study
8
national early
8
early warning
8
warning score
8
predictive performance
8
30-day mortality
8

Similar Publications

Leukemia symptoms occurring in the first 4 weeks of infancy are known as congenital leukemia. We present a case of congenital leukemia in a full-term neonate manifesting at birth with a grossly distended abdomen due to a large abdominal mass. Ultrasonography of the abdomen showed a large abdominal mass originating from the liver.

View Article and Find Full Text PDF

Myxoedema coma is a rare medical emergency, presenting even less commonly without sepsis and with the diagnosis of distributive shock. Reports of catecholamine-refractory shock are scarce. This report describes the case of a 54-year-old male, who presented to the emergency department with altered mental status.

View Article and Find Full Text PDF

Sepsis is a disease with a high mortality rate, which emphasizes the importance of developing tools for the early identification of high-risk patients and to initiate timely treatments to reduce mortality. The SIL score is a scale that uses the shock index and arterial lactate level to identify early on the patients that are at a high risk of in-hospital mortality due to sepsis. The purpose of this study was to validate the SIL score as a tool for estimating the probability of sepsis in-hospital mortality from the triage room in emergency departments.

View Article and Find Full Text PDF

Background: Hospitalised patients are at risk of deterioration and death. Delayed identification and transfer to the intensive care unit (ICU) are known to be associated with increased mortality rates. The Risk-stratification of Emergency Department suspected Sepsis (REDS) score was derived and validated in emergency department patients with suspected sepsis.

View Article and Find Full Text PDF

is a rapidly emerging fungal pathogen associated with high resistance rates, particularly in healthcare settings. It most commonly affects patients with severe underlying medical conditions and requiring complex medical care. Patients with invasive medical devices tend to be at increased risk for getting and developing infection.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!