Establishment of Risk Indicators and Early Warning System in Infection Patients

NCT ID: NCT05099120

Last Updated: 2022-02-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

16000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2010-01-01

Study Completion Date

2024-12-31

Brief Summary

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Serious infections refer to life-threatening infections with a morbidity and mortality rate of up to 50%, and are the main cause of death in critically ill patients, mainly including systemic inflammatory response syndrome, sepsis, infectious shock, or systemic multiple organ dysfunction syndrome. Patients with severe infections have rapid disease development, which can cause disorders of cellular circulation and metabolism and impairment of multi-organ function in the early stage, mostly accompanied by clinical complications, and despite the progress of medical technology and the popularization of antibiotic application, the mortality and disability rate is high, which is a hot spot of clinical research today. Patients with severe infections are exposed to a wide range of medical risk factors, including patient factors (advanced age, frailty, malnutrition, long hospital stay, prolonged bed rest), disease factors (immune deficiency, malignancy, diabetes, renal failure, liver failure), drug factors (long-term use of steroid hormones, chemotherapeutic drugs, NSAIDs, etc.), interventional factors (central venous catheter, recent invasive surgery, hemodialysis, endotracheal intubation or mechanical ventilation, etc.), which bring great challenges to clinical treatment. Therefore, early identification of risk indicators for deterioration of infected patients provides a strategic basis for the medical team to take early warning measures to prevent deterioration and poor prognosis, and to reduce the risk of deterioration of patients, which is also the key to reduce the risk of death of infected patients.

Detailed Description

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Conditions

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Infections

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Eligibility Criteria

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Inclusion Criteria

* Patients diagnosed with infection

Exclusion Criteria

* Case information is incomplete
* Do not accept follow-up
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Xijing Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jingwen Wang

Role: STUDY_DIRECTOR

The First Affiliated Hospital of Air Force Medical University

Other Identifiers

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Jingwen Wang

Identifier Type: -

Identifier Source: org_study_id

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