Comparison of Delirium Evaluation Tools Effectiveness in Intensive Care Patients

NCT ID: NCT03934645

Last Updated: 2020-03-11

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 250 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2017-11-01
• Study Completion Date: 2019-11-01

Brief Summary

This study compares the efficacy of scoring models used in delirium prediction in patients applying to intensive care unit. The diagnosis of delirium is based on the Intensive Care Delirium Screening Checklist (ICDSC). The aim of this study is determine the sensitivity and specificity of three prediction models (Delirium prediction model for ICU patients version 1 [Predeliric version-1], Delirium prediction model for ICU patients version 2 [Predeliric version-2] and Early prediction model for delirium in ICU patients [E-Predeliric]).

Detailed Description

Most patients in the intensive care unit (ICU) are entered delirium during hospitalization. Delirium; has been reported that it is associated with significant side effects such as prolonged stay in hospital and intensive care unit, increased morbidity and mortality and high costs. For evaluating delirium in intensive care units; There are several assessment tools such as the Intensive Care Delirium Screening Checklist(ICDSC) etc. The ICDSC checklist is an eight-item screening tool that is based on DSM criteria and applied with data that can be collected through medical records. Its validity has been confirmed by several studies. Assessment tools such as ICDSC; can diagnose after patient is entered the delirium and therefore cannot provide early treatment and preventive measures. Prevention of delirium is more important than the correct treatment of delirium. For preventing delirium; early diagnosis and treatment are necessary. Pre-deliric (DELIRIUM PREDICTION MODEL FOR INTENSIVE CARE PATIENTS) and E-pre-deliric (EARLY PREDICTION MODEL FOR DELIRIUM IN ICU PATIENTS) prediction models; are developed and approved for delirium estimation in intensive care unit patients.

Data of the patient in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is found by the pre-deliric model. In the e-pre-deliric model, delirium prediction score is determined by inputting the data of the patient in admission to the intensive care unit.

In this study; the definition of delirium was done by ICDSC scoring. Patients with an ICDSC score of 4 and over were diagnosed with delirium.

The aim of this study; To determine the sensitivity and specificity of E-pre-deliric and Pre-deliric scores by comparing the effectiveness of ICDSC, E-pre-deliric, Pre-deliric version-1 and Pre-deliric version-2 assessment tools in the prediction of delirium.

Conditions

Delirium

Study Design

• Observational Model Type: OTHER
• Study Time Perspective: PROSPECTIVE

Study Groups

Not In Delirium

Intensive Care Delirium Screening Checklist(ICDSC)=0

Delirium prediction model for ICU patients, version 1

Intervention Type: OTHER

The pre-deliric model version 1 for intensive care patients consists of ten risk factors that are readily available within 24 hours after intensive care admission and has a high predictive value. The model allows for early prediction of delirium and initiation of preventive measures. Data of the patient in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is found.

Delirium prediction model for ICU patients, version 2

Intervention Type: OTHER

The pre-deliric model version 2 for intensive care patients consists of ten risk factors that are readily available within 24 hours after intensive care admission. Data of the patient in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is found. The model allows for early prediction of delirium and initiation of preventive measures.

Early prediction model for delirium in ICU patients

Intervention Type: OTHER

The e-pre-deliric model enables the clinician to identify those patients likely to develop delirium following ICU admission using only nine predictors. In the e-pre-deliric model, delirium prediction score is determined by inputting the data of the patient in admission to the intensive care unit.

In Delirium

Intensive Care Delirium Screening Checklist(ICDSC)≥4

Delirium prediction model for ICU patients, version 1

Intervention Type: OTHER

The pre-deliric model version 1 for intensive care patients consists of ten risk factors that are readily available within 24 hours after intensive care admission and has a high predictive value. The model allows for early prediction of delirium and initiation of preventive measures. Data of the patient in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is found.

Delirium prediction model for ICU patients, version 2

Intervention Type: OTHER

The pre-deliric model version 2 for intensive care patients consists of ten risk factors that are readily available within 24 hours after intensive care admission. Data of the patient in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is found. The model allows for early prediction of delirium and initiation of preventive measures.

Early prediction model for delirium in ICU patients

Intervention Type: OTHER

The e-pre-deliric model enables the clinician to identify those patients likely to develop delirium following ICU admission using only nine predictors. In the e-pre-deliric model, delirium prediction score is determined by inputting the data of the patient in admission to the intensive care unit.

Interventions

Delirium prediction model for ICU patients, version 1

The pre-deliric model version 1 for intensive care patients consists of ten risk factors that are readily available within 24 hours after intensive care admission and has a high predictive value. The model allows for early prediction of delirium and initiation of preventive measures. Data of the patient in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is found.

Intervention Type: OTHER

Delirium prediction model for ICU patients, version 2

The pre-deliric model version 2 for intensive care patients consists of ten risk factors that are readily available within 24 hours after intensive care admission. Data of the patient in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is found. The model allows for early prediction of delirium and initiation of preventive measures.

Intervention Type: OTHER

Early prediction model for delirium in ICU patients

The e-pre-deliric model enables the clinician to identify those patients likely to develop delirium following ICU admission using only nine predictors. In the e-pre-deliric model, delirium prediction score is determined by inputting the data of the patient in admission to the intensive care unit.

Intervention Type: OTHER

Other Intervention Names

Pre-deliric version-1; Pre-deliric version-2; E-pre-deliric

Eligibility Criteria

Inclusion Criteria

• Patients hospitalized in the intensive care unit for more than 24 hours
• Patients 18 years and older
• Patients without mental disability
• Non-pregnant patients

Exclusion Criteria

• Patients hospitalized in the intensive care unit for less than 24 hours
• Patients under 18 years
• Patients in coma during hospitalization in the intensive care unit
• Patients with aphasia disease, who cannot communicate
• If the compliance rate of the delirium screening was <%80 during a patient's stay in the ICU
• If signs of delirium are seen within 24 hours of ICU admission

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Trakya University

OTHER

Sponsor Role: lead

Responsible Party

Onur Kucuk

Department of anesthesiology and reanimation Resident Doctor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

DİLEK MEMİŞ, Proffesor

Role: PRINCIPAL_INVESTIGATOR

Trakya University

Locations

Trakya University

Edirne, Centrum, Turkey (Türkiye)

Countries

Turkey (Türkiye)

Other Identifiers

TÜTF-BAEK 2017/263

Identifier Type: -

Identifier Source: org_study_id