Publication Date

Spring 5-4-2025

Document Type

Student Project

First Advisor

Sabio, Cristan

Degree Name

B.S. (Bachelor of Science)

Department

School of Nursing

Abstract

Sepsis is a life-threatening condition that occurs because of an infection. Sepsis can lead to shock, SIRS, organ failure, and other emergent conditions. This literature review paper is aimed at determining the early detection of sepsis in patients as well as examining early symptoms of sepsis, the significance of early diagnosis, and the implications for patient safety and treatment. In several studies, they used the early warning scores (EWS) and Machine learning with patients' information, vital signs, prehospital patient data, and physician assessments embedded in it to identify patients at risk for sepsis. One of the studies incorporated a device that detects sepsis based on the Volatile organic compounds (VOC) in the patient's breath. These studies show lots of variability and the need for better sepsis-detecting tools. Early care can significantly reduce the morbidity and mortality associated with sepsis, directly benefiting patient safety and health. By identifying sepsis early, we are avoiding the expenses associated with that life-threatening condition as well as the toll it has on the patient and their caregivers

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