Prediction of Pressure Injury Risk in ICU Using Data Mining
ICU
1 other identifier
observational
500
1 country
2
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2026
Shorter than P25 for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 7, 2025
CompletedFirst Posted
Study publicly available on registry
December 29, 2025
CompletedStudy Start
First participant enrolled
January 16, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
April 29, 2026
CompletedMay 1, 2026
April 1, 2026
3 months
December 7, 2025
April 29, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Prediction accuracy of pressure injury development
The primary outcome is the predictive accuracy of data mining algorithms in identifying the risk of developing pressure injury among patients hospitalized in the intensive care unit (ICU). Accuracy metrics such as the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, precision, recall, and F1-score will be calculated using retrospective medical record data.
10 October 2020 to 10 October 2025
Study Arms (1)
ICU Patient Cohort
Adult patients who will be hospitalized in the intensive care unit between October 10, 2020 and October 10, 2025. No interventions will be applied, and all data will be obtained from existing medical records.
Interventions
This is a retrospective observational study. No interventions will be applied. All data will be obtained from existing medical records.
Eligibility Criteria
Adult patients aged 18 years and older who were hospitalized in the intensive care unit (ICU) of a tertiary public hospital between October 10, 2020, and October 10, 2025 will be included in this retrospective observational study. The study population includes patients with a minimum ICU stay of 24 hours and complete, accessible electronic or paper-based medical records. Patients with missing or inconsistent medical record data or with a pressure injury diagnosed before or at the time of ICU admission will be excluded. All data will be collected retrospectively from existing medical records.
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Bolu Izzet Baysal State Hospital
Bolu, Bolu, 14100, Turkey (Türkiye)
Bolu Izzet Baysal State Hospital
Merkez, Bolu, 14100, Turkey (Türkiye)
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Saadet Can Çiçek, Assoc. Prof., PhD
Abant Izzet Baysal University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
December 7, 2025
First Posted
December 29, 2025
Study Start
January 16, 2026
Primary Completion
April 1, 2026
Study Completion
April 29, 2026
Last Updated
May 1, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared because the study uses retrospective clinical records that contain sensitive personal health information. In accordance with institutional policies, ethical committee approval, and national data protection regulations (KVKK), IPD cannot be made publicly available. Only aggregated and de-identified results will be provided in publications.