Trakya University
Edirne, Centrum, 22030, Turkey (Türkiye)
NCT Number: NCT03934645
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]).
Looking for future studies?
Notify Me18 year and older
All sexes
Observational
Edirne, Centrum, 22030, Turkey (Türkiye)
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Other names: Pre-deliric version-1
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.
Other names: Pre-deliric version-2
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.
Other names: E-pre-deliric
Time frame: 1 day in admission (1 time)
Data of the patient (ten risk factors) in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is calculated. Each item is scored 0-100.
Time frame: 1 day in admission (1 time)
Data of the patient (ten risk factors) in the first 24 hours of admission to the intensive care unit are collected and the delirium prediction score is calculated. Each item is scored 0-100.
Time frame: 1 day in admission (1 time)
In the e-pre-deliric model, delirium prediction score is calculated by inputting the data of the patient (nine predictors) in admission to the intensive care unit. Each item is scored 0-100.
Time frame: 1 time per day during hospitalization
The items include the assessment of: (1) consciousness ( deep sedation/coma, agitation, normal wakefulness, or light sedation); (2) inattention; (3) disorientation; (4) hallucination, delusion, or psychosis; (5) psychomotor agitation or retardation; (6) inappropriate speech or mood; (7) sleep-wake cycle disturbances; and (8) fluctuation of symptomatology. The maximum score is eight; scores of ≥4 indicate the presence of delirium and score zero is indicate not in delirium. Each item is scored 0-8.
Trakya University
Other
Comparison of Efficacy of "Pre-deliric Version 1-2, E-predeliric Score and ICDSC" Tests Used in the Diagnosis of Delirium in Intensive Care Patients
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT02548975
Confusion, Delirium
View Trial DetailsNCT06963112
Anxiety, Anxiety Disorders
Guangxi, China
View Trial DetailsNCT07151716
Confusion, Delirium
Beijing, Beijing Municipality, China
View Trial DetailsNCT03317067
Aberrant Motor Behavior in Dementia, Agitation
Clermont-Ferrand, France
View Trial Details