Prediction of Pressure Injury Risk in ICU Using Data Mining
Prediction of Pressure Injury Risk in the Intensive Care Unit: A Comparative Analysis of Data Mining Algorithms in a Single-Center Retrospective Cohort
Abant Izzet Baysal University
500 participants
Jan 16, 2026
OBSERVATIONAL
Summary
This study is a retrospective record review conducted among adult patients hospitalized in the intensive care unit of a tertiary hospital between October 10, 2020, and October 10, 2025. The aim of the study is to predict the risk of pressure injury development using demographic, clinical, laboratory, and nursing care-related variables by applying multiple data mining algorithms. No intervention, treatment, or patient contact will occur. All data will be extracted from existing electronic and paper-based medical records and will be fully anonymized prior to analysis. The study poses no risk to participants and will be conducted with approval from the institutional review board or ethics committee.
Eligibility
Inclusion Criteria4
- Patients hospitalized in the intensive care unit between October 10, 2020, and * October 10, 2025
- Adult patients aged 18 years and older
- Length of intensive care unit stay of at least 24 hours
- Availability of complete and accessible electronic or paper-based medical records
Exclusion Criteria4
- Patients younger than 18 years
- Intensive care unit stay shorter than 24 hours Incomplete, missing, or inconsistent electronic or paper-based medical records
- Presence of a pressure injury diagnosed before or at the time of intensive care unit admission
- Inability to extract pressure injury-related data from medical records
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Interventions
This is a retrospective observational study. No interventions will be applied. All data will be obtained from existing medical records.
Locations(2)
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NCT07306143