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Development and Validation of an Interpretable Machine Learning-Based Risk Prediction Model for Pressure Injury in Intensive Care Unit Patients

Development and Validation of an Interpretable Machine Learning-Based Risk Prediction Model for Pressure Injury in Intensive Care Unit Patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119666
Enrollment
Unknown
Registered
2026-03-02
Start date
2026-03-03
Completion date
Unknown
Last updated
2026-03-09

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

Conditions

Pressure Injury

Interventions

Pressure injury observation group:None

Sponsors

The First Affiliated Hospital of Hebei North University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. ICU patients; 2. Age range: 18 - 80 years old; 3. All patients (or their legal guardians) have signed the informed consent form before participating in the study; 4. A comprehensive skin assessment was conducted within 24 hours after admission to the ICU, and it was confirmed that there was no pressure injury upon admission to the ICU according to the international pressure injury staging criteria; 5. During the hospitalization in the ICU, continuous skin assessment was carried out to clearly determine whether new pressure injuries occurred during the ICU stay.

Exclusion criteria

Exclusion criteria: 1. Those who did not undergo the standardized assessment for pressure injuries after being admitted to the ICU, resulting in an inability to determine the outcome; 2. Patients who already had pressure injuries upon admission to the ICU; 3. Patients who were hospitalized in the ICU for less than 24 hours.

Design outcomes

Primary

MeasureTime frame
Occurrence of ICU-acquired Pressure Injury;

Secondary

MeasureTime frame
Braden Scale for Predicting Pressure Sore Risk;Acute Physiology and Chronic Health Evaluation II;

Countries

China

Contacts

Public ContactWang Yimiao

The First Affiliated Hospital of Hebei North University

wym19871213@163.com+86 156 1230 3863

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 14, 2026