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Application of decision tree of predictive model to catheter-related urinary tract infection in patients with severe neurological disease

Application of decision tree of predictive model to catheter-related urinary tract infection in patients with severe neurological disease

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200060308
Enrollment
Unknown
Registered
2022-05-27
Start date
2022-05-15
Completion date
Unknown
Last updated
2024-05-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Patients with severe neurological disease

Interventions

urinary tract infection group:Nil
non urinary tract infection group:Nil

Sponsors

North Jiangsu People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. All patients are admitted to NICU; 2. Age >= 18 years old; 3. Patients with indwelling catheter; 4. Upon admission, the patient's immediate family members or guardians sign the informed consent for this study.

Exclusion criteria

Exclusion criteria: 1. Urinary tract infection has occurred before admission to NICU; 2. Patients admitted to NICU for less than 48 hours; 3. Insufficient clinical data.

Design outcomes

Primary

MeasureTime frame
age;gender;hospital duration;surgical history;hypertension;glasgow score;biochemical indicators;blood test;urinalysis;urine bacterial culture;

Countries

China

Contacts

Public ContactYuping Li

Neurosurgery Department of Clinical Medical College of Yangzhou University

guangyu.lu@yzu.edu.cn+86 18051062519

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026