MEWS, qSOFA and Physiological Parameters Combination in the Emergency Room

St. Martin De Porress Hospital

Status: Completed

Conditions: Sepsis

Treatments: Other: qSOFA, MEWS and physiological parameters combination

Study type: Interventional

Funder types: Other

Identifiers

NCT05584098

21B-004

Details and patient eligibility

About

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.

Full description

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

Enrollment: 950 patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• This is a single-center retrospective study of a group of patients admitted to the emergency department.

Exclusion criteria

• Patients with incomplete treatment clinical data, lack of information in medical records, trauma patients

Trial design

Primary purpose: Screening

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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950 participants in 1 patient group

qSOFA, MEWS and physiological parameters combination

Other group

Description:

Modified Early Warning Score(MEWS), quick Sequential Organ Failure Assessment(qSOFA) and physiological parameters combination are used in prediction of occurrence of sepsis

Treatment:

Other: qSOFA, MEWS and physiological parameters combination