Sepsis-Associated Encephalopathy (SAE) as an Early Predictor of Mortality: Using Neurological Status (GCS or Delirium Scores) upon ED Admission to Predict Long-Term Outcomes in Septic Patients.

Authors

Keywords:

Sepsis, Emergency Department, Delirium, Clinical Knowledge

Abstract

Background: 

Sepsis-Associated Encephalopathy (SAE) is a dangerous and multifactorial complication of sepsis, causing diffuse dysfunction of the brain, and is a common presentation in the Emergency Department (ED). Sepsis-associated encephalopathy (SAE) presents a spectrum from mild cognitive deficits to deep coma. However, the lack of specific biomarkers and the confounding effects of sedation make SAE a challenging diagnosis of exclusion. It requires the systematic elimination of alternative etiologies for altered mentation in the febrile, critically ill patient. 

OBJECTIVE: 

To evaluate the efficacy of neurological assessment tools and biochemical markers at ED admission as early predictors of Sepsis-Associated Encephalopathy and long-term patient outcomes. 

METHODOLOGY: 

A comprehensive analysis of studies showing the GCS scores and Delirium screening in ED during admission for early identification of SEA and determination of 28-day mortality and long-term cognitive outcomes based on data from published literature. 

RESULT: 

The analysis of literature reveals that SEA affects 53% to 70% of patients. A GCS score of ≤14 on average during admission carries a 49.3% mortality rate, while GCS scores between 3–8 increases the risk to 63%. Delirium increases mortality by 4.3-fold, showing a 15.8% mortality after 28 days and long-term cognitive decline. 

CONCLUSION: 

Early identification of Sepsis-Associated Encephalopathy clinically calculating the GCS scores and delirium screening on arrival in the ED is essential and beneficial as these assessments serve as powerful independent and non-invasive predictors of 28-day mortality and long-term cognitive impairment, enabling clinicians to implement critical neuroprotective strategies and improve prognostic chances immediately upon admission. 

Author Biographies

Ria Singh Rawat, BGS Global Institute of Medical Sciences, India

Casualty Medical Officer in the Emergency Medicine Department at BGS GIMS

Sunita Parmar, BGS Global Institute of Medical Sciences, India

DA Anesthesia and DNB Emergency Medicine

Currently working as an Assistant Professor in the Emergency Medicine Department at BGS GIMS

Rahul Radhakrishnan Pillai, BGS Global Institute of Medical Sciences, India

Casualty Medical Officer in the Emergency Medicine Department at BGS GIMS

Gautam Gokul, BGS Global Institute of Medical Sciences, India

Casualty Medical Officer in the Emergency Medicine Department at BGS GIMS

References

1) Chaudhry, N., & Duggal, A. K. (2014). Sepsis associated encephalopathy. Advances in Medicine, 2014, 1–16. https://doi.org/10.1155/2014/762320

2) Gofton, T. E., & Young, G. B. (2012). Sepsis-associated encephalopathy. Nature Reviews Neurology, 8(10), 557–566. https://doi.org/10.1038/nrneurol.2012.183

3) Chaudhry, N., & Duggal, A. K. (2014b). Sepsis associated encephalopathy. Advances in Medicine, 2014, 1–16. https://doi.org/10.1155/2014/762320

4) Ito, H., Hosomi, S., Koyama, Y., Matsumoto, H., Imamura, Y., Ogura, H., & Oda, J. (2022). Sepsis-Associated Encephalopathy: A Mini-Review of inflammation in the brain and body. Frontiers in Aging Neuroscience, 14, 912866. https://doi.org/10.3389/fnagi.2022.912866

5) Krzyżaniak, K., Szymczyk, A., Wściślak, A., Szczygieł, N., Zembrzuska, S., Abramczyk-Suszek, A., Krion, R., Remisiewicz, M., & Siemiński, M. (2025). Prevalence, symptoms, risk factors and impact of sepsis-associated encephalopathy in emergency department patients: a case-control study. BMC Emergency Medicine, 25(1), 262. https://doi.org/10.1186/s12873-025-01385-8

6) Chaudhry, N., & Duggal, A. K. (2014c). Sepsis associated encephalopathy. Advances in Medicine, 2014, 1–16. https://doi.org/10.1155/2014/762320

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Published

2026-08-19

How to Cite

Rawat, R. S., Parmar, S., Pillai, R. R., & Gokul, G. (2026). Sepsis-Associated Encephalopathy (SAE) as an Early Predictor of Mortality: Using Neurological Status (GCS or Delirium Scores) upon ED Admission to Predict Long-Term Outcomes in Septic Patients. International Journal of Medical Students. Retrieved from https://ijms.pitt.edu/IJMS/article/view/4823

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Abstracts of the WCMSR

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