Prediction of Pressure Injury Risk in ICU Using Data Mining (ICU)

Prediction of Pressure Injury Risk in the Intensive Care Unit: A Comparative Analysis of Data Mining Algorithms in a Single-Center Retrospective Cohort

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.

Study Overview

• Status: Completed
• Conditions: Pressure Injury
• Intervention / Treatment: Other: No intervention

Detailed Description

This observational study uses a retrospective cohort design to analyze the clinical, demographic, laboratory, and nursing documentation records of adult intensive care unit (ICU) patients hospitalized between October 10, 2020, and October 10, 2025. The purpose of the study is to identify factors associated with the development of pressure injury and to compare the predictive performance of multiple data mining and machine learning algorithms, including logistic regression, decision trees, random forest, support vector machines, and gradient boosting models.

Data collection will involve reviewing archived ICU records, patient files, and nursing observation forms. No new data will be collected directly from patients, and no medical interventions or prospective follow-up will be performed. All extracted data will be fully anonymized prior to analysis. The study will be conducted in accordance with ethical principles and has been approved by the Bolu Abant Izzet Baysal University Non-Interventional Clinical Research Ethics Committee.

The expected outcome of this study is to identify the most accurate predictive model for pressure injury risk and to support clinical decision-making processes by contributing to early prevention strategies in the ICU.

• Study Type: Observational
• Enrollment (Actual): 500

Contacts and Locations

Study Locations

• Turkey (Türkiye)
  • Bolu
    • Bolu, Bolu, Turkey (Türkiye), 14100
      • Bolu Izzet Baysal State Hospital
    • Merkez, Bolu, Turkey (Türkiye), 14100
      • Bolu Izzet Baysal State Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Probability Sample

Study Population

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.

Description

Inclusion Criteria

• 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 Criteria

• 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

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
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.	Other: No intervention; This is a retrospective observational study. No interventions will be applied. All data will be obtained from existing medical records.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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

Collaborators and Investigators

• Sponsor: Abant Izzet Baysal University
• Investigators: Principal Investigator: Saadet Can Çiçek, Assoc. Prof., PhD, Abant Izzet Baysal University

Study record dates

Study Major Dates

• Study Start (Actual): January 16, 2026
• Primary Completion (Actual): April 1, 2026
• Study Completion (Actual): April 29, 2026

Study Registration Dates

• First Submitted: December 7, 2025
• First Submitted That Met QC Criteria: December 19, 2025
• First Posted (Actual): December 29, 2025

Study Record Updates

• Last Update Posted (Actual): May 1, 2026
• Last Update Submitted That Met QC Criteria: April 29, 2026
• Last Verified: April 1, 2026

More Information

Terms related to this study

• Keywords: Data mining; Machine learning; Risk prediction; Retrospective study; Pressure injury risk
• Additional Relevant MeSH Terms: Skin Diseases; Skin Ulcer; Skin and Connective Tissue Diseases; Pressure Ulcer
• Other Study ID Numbers: AIBU-SBF-NSY-2025

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO
• IPD Plan Description: 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.

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No