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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]).
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.
Delirium prediction model for ICU patients, version 1, Delirium prediction model for ICU patients, version 2, Early prediction model for delirium in ICU patients
Active, not recruiting
Published on BioPortfolio: 2019-05-06T17:20:28-0400
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External Validation of Two Models to Predict Delirium in Critically Ill Adults Using Either the Confusion Assessment Method-ICU or the Intensive Care Delirium Screening Checklist for Delirium Assessment.
To externally validate two delirium prediction models (early prediction model for ICU delirium and recalibrated prediction model for ICU delirium) using either the Confusion Assessment Method-ICU or t...
Delirium is a common, serious condition associated with poor hospital outcomes. Guidelines recommend screening for delirium risk to target diagnostic and/or prevention strategies. This study criticall...
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A form of DELIRIUM which occurs after GENERAL ANESTHESIA.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Cognitive disorders including delirium, dementia, and other cognitive disorders. These may be the result of substance use, trauma, or other causes.
Predicting the time of OVULATION can be achieved by measuring the preovulatory elevation of ESTRADIOL; LUTEINIZING HORMONE or other hormones in BLOOD or URINE. Accuracy of ovulation prediction depends on the completeness of the hormone profiles, and the ability to determine the preovulatory LH peak.
An acute organic mental disorder induced by cessation or reduction in chronic alcohol consumption. Clinical characteristics include CONFUSION; DELUSIONS; vivid HALLUCINATIONS; TREMOR; agitation; insomnia; and signs of autonomic hyperactivity (e.g., elevated blood pressure and heart rate, dilated pupils, and diaphoresis). This condition may occasionally be fatal. It was formerly called delirium tremens. (From Adams et al., Principles of Neurology, 6th ed, p1175)