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Establishment of Risk Indicators and Early Warning System in Infection Patients

A

Air Force Military Medical University of People's Liberation Army

Status

Active, not recruiting

Conditions

Infections

Study type

Observational

Funder types

Other

Identifiers

NCT05099120
Jingwen Wang

Details and patient eligibility

About

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.

Enrollment

16,000 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients diagnosed with infection

Exclusion criteria

  • Case information is incomplete
  • Do not accept follow-up

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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