In the development of sepsis treatment of recent years, the demand for medical manpower has increased significantly when patients with sepsis appear because of the expansion of medical care demand and shortened response time related to sepsis Due to the shortage of manpower, a more simple and easy-to-operate inspection method is adopted and artificial intelligence technology is used to assist in the evaluation. The applicability of physiological indicators MEWS, qSOFA and physiological parameters combination as sepsis screening tools in emergency department (ED) and predicting sepsis outcome in the emergency department. When patients with sepsis appear, artificial intelligence technology is used to remind the physicians to respond and administer drugs as soon as possible. This is a single-center retrospective study of a group of patients admitted to the emergency department. The medical records were reviewed, mainly based on the hospital site records and the existing vital signs of the patients. Attended a hospital emergency room between January 2020 and December 2022. Physiological numerical indicators MEWS and qSOFA were all scored to understand the distribution of sepsis.
1. A single-center retrospective study of a cohort of patients admitted to the emergency department 2. To see a doctor in the emergency department of the hospital between January 2020 and December 2022, review their medical records, and focus on the hospital's on-site records and the existing patient's vital signs. 3. The physiological indicators MEWS and qSOFA were scored to understand the distribution of sepsis. 4. Remind the doctor when a suspected sepsis patient appears under level 5 triage and use artificial intelligence technology to assist 5. This study will explore the specific improvement practices and effects of improving the response of patients with sepsis when they see a doctor 6. To analyze and evaluate the economics and benefits of this operation mode, improve the accuracy of emergency inspection of sepsis patients and improve the rationality of hospital manpower deployment 7. Scheduled progress of the plan: Patients who visited the emergency department of the hospital between January 2020 and December 2022 were included in this study under investigation. This is a retrospective study, and patients are required to undergo necessary examinations according to their own conditions, without any interference from the study
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
950
qSOFA ,MEWS and physiological parameters combination used in emergency medicine department could be helpful in the identification of the occurrence of sepsis
St. Martin De Porres Hospital
Chiayi City, Taiwan
St. Martin De Porres Hospital
Chiayi City, Taiwan
qSOFA used in emergency medicine department
The qSOFA score is a simple score consisting of three items: respiratory rate (RR) ≥ 22 breaths per minute, altered mentation (Glasgow Coma Scale \[GCS\] \< 15), and systolic blood pressure (SBP) \< 100 mmHg and lowest score is 1 and highest is 3. The more score will show more severe disease. MEWS score:Description Risk of death or ICU admission \<3: patient in a stable condition, 3-4: Signs of respiratory failure. Consider higher level of care, ≥5: Patient in a critical condition. Higher level of care recommended
Time frame: From date of randomization until the date of first documented progression assessed up to 36 months
Modified Early Warning Score(MEWS) which quickly determine whether a particular patient needs increased medical attention
MEWS score = Systolic blood pressure + Heart rate + Urine output + Respiratory rate + Temperature + AVPU. The lowest score is 0 and highest score is 14. The more score will show more severe disease. MEWS score:Description Risk of death or ICU admission \<3: patient in a stable condition, 3-4: Signs of respiratory failure. Consider higher level of care, ≥5: Patient in a critical condition. Higher level of care recommended
Time frame: From date of randomization until the date of first documented progression assessed up to 36 months
physiological parameters combination
Shock Index (SI) = Heart Rate / Systolic Blood Pressure Age-Adjusted Shock Index (Age SI) = Age x Shock Index Respiratory-Adjusted Shock Index (RASI) = HR/SBP × (RR/10)
Time frame: From date of randomization until the date of first documented progression assessed up to 36 months
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.