Prehospital qSOFA, mSOFA, and NEWS2 performance for sepsis prediction: A prospective, multi-center, cohort study

Early prediction of sepsis in emergency department patients using various methods and scoring systems

BACKGROUND

Early recognition of sepsis, a common life-threatening condition in intensive care units (ICUs), is beneficial for improving patient outcomes. However, most sepsis prediction models were trained and assessed in the ICU, which might not apply to emergency department (ED) settings.

AIMS

To establish an early predictive model based on basic but essential information collected upon ED presentation for the follow-up diagnosis of sepsis observed in the ICU.

STUDY DESIGN

This study developed and validated a reliable model of sepsis prediction among ED patients by comparing 10 different methods based on retrospective electronic health record data from the MIMIC-IV database. In-ICU sepsis was identified as the primary outcome. The potential predictors encompassed baseline demographics, vital signs, pain scale, chief complaints and Emergency Severity Index (ESI). 80% and 20% of the total of 425 737 ED visit records were randomly selected for the train set and the test set for model development and validation, respectively.

RESULTS

Among the methods evaluated, XGBoost demonstrated an optimal predictive performance with an area under the curve (AUC) of 0.90 (95% CI: 0.90-0.91). Logistic regression exhibited a comparable predictive ability to XGBoost, with an AUC of 0.89 (95% CI: 0.89-0.90), along with a sensitivity and specificity of 85% (95% CI: 0.83-0.86) and 78% (95% CI: 0.77-0.80), respectively. Neither of the five commonly used severity scoring systems demonstrated satisfactory performance for sepsis prediction. The predictive ability of using ESI as the sole predictor (AUC: 0.79, 95% CI: 0.78-0.80) was also inferior to the model integrating ESI and other basic information.

CONCLUSIONS

The use of ESI combined with basic clinical information upon ED presentation accurately predicted sepsis among ED patients, strengthening its application in ED.

RELEVANCE TO CLINICAL PRACTICE

The proposed model may assist nurses in risk stratification management and prioritize interventions for potential sepsis patients, even in low-resource settings.

Recognition and Awareness of Sepsis by First-Aid Providers in Adults With Suspected Infection: A Scoping Review

Sepsis accounts for a significant proportion of preventable deaths worldwide and early treatment has been found to be a mainstay of decreasing mortality. Early identification of sepsis in the first-aid setting is critical as this results in a shorter time to hospital presentation and management with antibiotics and initial resuscitation. Our aim was to explore the existing literature related to either sepsis recognition or awareness of sepsis by first-aid providers who are evaluating an adult suspected of an acute infection. Our scoping review was performed as part of the International Liaison Committee on Resuscitation's (ILCOR) continuous evidence evaluation process to update the 2024 ILCOR Consensus on Science with Treatment Recommendations. We searched Embase, Medline, and Cochrane databases from their inception to January 17, 2023, with updated searches performed on November 21, 2023, and December 2, 2023. The gray literature search was conducted on August 29, 2023. The population included adults presenting with an acute illness exhibiting signs and symptoms of a severe infection. Outcomes included sepsis recognition or awareness of sepsis by a lay first-aid provider. After reviewing 4380 potential sources, four reviews (three systematic reviews and one scoping review), 11 observational studies, and 27 websites met the inclusion criteria. No study directly addressed our PICOST (Population, Intervention, Comparator, Outcomes, Study Design, and Timeframe) question as none were performed in the first-aid setting. Three systematic reviews and nine observational studies that assessed the ability of early warning scores to detect sepsis and predict adverse outcomes secondary to sepsis had inconsistent results, but many found the screening tools to be useful. One scoping review and one observational study found public knowledge and awareness of sepsis to be variable and dependent upon healthcare employment, location, education level, ethnicity, sex, and age. Signs and symptoms associated with sepsis as listed by gray literature sources fell primarily under nine general categories as a means of educating the public on sepsis recognition. Although this scoping review did not identify any studies that directly addressed our outcomes, it highlights the need for future research to better understand the recognition of sepsis in first-aid settings.

Defining sepsis in small animals

OBJECTIVE

To discuss the definitions of sepsis in human and veterinary medicine.

DESIGN

International, multicenter position statement on the need for consensus definitions of sepsis in veterinary medicine.

SETTING

Veterinary private practice and university teaching hospitals.

ANIMALS

Dogs and cats.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Sepsis is a life-threatening condition associated with the body's response to an infection. In human medicine, sepsis has been defined by consensus on 3 occasions, most recently in 2016. In veterinary medicine, there is little uniformity in how sepsis is defined and no consensus on how to identify it clinically. Most publications rely on modified criteria derived from the 1991 and 2001 human consensus definitions. There is a divergence between the human and veterinary descriptions of sepsis and no consensus on how to diagnose the syndrome. This impedes research, hampers the translation of pathophysiology insights to the clinic, and limits our abilities to optimize patient care. It may be time to formally define sepsis in veterinary medicine to help the field move forward. In this narrative review, we present a synopsis of prior attempts to define sepsis in human and veterinary medicine, discuss developments in our understanding, and highlight some criticisms and shortcomings of existing schemes.

CONCLUSIONS

This review is intended to serve as the foundation of current efforts to establish a consensus definition for sepsis in small animals and ultimately generate evidence-based criteria for its recognition in veterinary clinical practice.

Clinical outcome prediction of acute neurological patients admitted to the emergency department: Sequential Organ Failure Assessment score and modified SOFA score

Background

The aim of this study was to determine the ability of the Sequential Organ Failure Assessment score (SOFA) and modified SOFA score (mSOFA) as predictive tools for 2-day and 28-day mortality and ICU admission in patients with acute neurological pathology treated in hospital emergency departments (EDs).

Methods

An observational, prospective cohort study in adults with acute neurological disease transferred by ambulance to an ED was conducted from 1 January 2019 to 31 August 2022 in five hospitals in Castilla-León (Spain). Score discrimination was assessed by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the score.

Results

A total of 640 adult patients with neurological disease were included. For the prediction of 2-day mortality (all-cause), mSOFA presented a higher AUC than SOFA (mSOFA = 0.925 vs. SOFA = 0.902). This was not the case for 28-day mortality, for which SOFA was higher than mSOFA (mSOFA = 0.852 vs. SOFA = 0.875). Finally, ICU admission showed that SOFA was higher than mSOFA (mSOFA = 0.834 vs. SOFA = 0.845).

Conclusion

Both mSOFA and SOFA presented similar predictive ability, with mSOFA being the best predictor for short-term mortality and SOFA being the best predictor for medium-term mortality, as well as for ICU admission. These results in a cohort of patients with acute neurological pathology pave the way for the use of both predictive tools in the ED. The inclusion of these tools could improve the clinical assessment and further treatment of neurological patients, who commonly present the worst outcomes.