Active clinical trials for "Delirium"

Acute post-operatory cognitive dysfunction states are one of the most important complications in older patients after surgery. Two acute cognitive dysfunctions have been described: postoperative delirium (PD) and postoperative subsyndromal delirium (PSSD). Patients who develop delirium, both as a complete or incomplete syndrome, have poor long-term outcomes, such as longer length of hospital stay, institutionalization at discharge, and even higher mortality, and consequently, the human and economic costs significantly increase for the health system. Here the research team will use an observational cohort, investigator blinded in two-center with a primary endpoint to validate the relative alpha power ratio as a predictive biomarker of postoperative cognitive dysfunctions.

Postoperative delirium (POD) remains one of most common complication in elderly patients receiving surgery, which is characterized by acute and fluctuating change in the level of cognition and consciousness. Previous studies have shown that surgery and anesthesia-induced acute peripheral inflammation and neuroinflammation may lead to delirium after surgery. Systemic Inflammation Response Index (SIRI) is a more easily accessible and comprehensive inflammation marker derived from monocyte, neutrophil, and lymphocyte count, which has been investigated to assess the prognosis of cancer and infectious diseases. However, the relationship between SIRI and POD has yet to be investigated.

This qualitative study aims to evaluate the usability of a smartphone application called DelApp. The study will assess usability and acceptability of the software app by asking 40 clinicians to administer the DelApp assessment to consented patient and clinicians. Feedback will be collected through semi-structured interviews with the clinicians. The feedback will be used to optimise the software application in preparation for formal validations studies.

Delirium are common after orthopedic surgery in the elderly and are directly associated with loss of independence, reduction in the quality of life and increased mortality. The cause of postoperative delirium still remains unclear and may be multifactorial. The aim of this retrospective study is to examine prevalence of postoperative delirium according to the use of dexmedetomidine or propofol in elderly patients undergoing orthopedic surgery under regional anesthesia.

Currently, two ICU delirium prediction models are available: the PRE-DELIRIC model and the early prediction model (E-PRE-DELRIC). However, the use of these prediction models is not yet implemented as standard in clinical practice, as it is unknown which delirium prediction model can best be used to predict delirium in ICU patients.Therefore the main aim of this study is to compare the performance of the PRE-DELIRIC model and the E-PRE-DELRIC model.

The aim of the study is to identify the incidence of early postoperative delirium in intensive care patients after cardiac surgery and detect possible risk factors associated with increased risk for developing delirium after cardiac surgery.

In this prospective, multicenter observational study we assess the diagnostic validity of the following standard screening instruments for delirium regarding sedation, analgesia and ventilator status in critically ill patients: Confusion Assessment Method for the ICU (CAM-ICU) Intensive Care Delirium Screening Checklist (ICDSC) Nursing-Delirium-Screening-Scale (Nu-DESC) The definite delirium diagnosis (definite in terms of reference standard) is made according to the criteria of the Diagnostic and Statistical Manual of Mental Disorders 4th Edition, text revised (DSM-IV-TR) published by the American Psychiatric Association (APA) which is the Gold Standard to diagnose delirium. Primary research question: Does sedation, ventilator status and analgesia influence the sensitivity of delirium screening tools (DST)?

The purpose of this study is to determine the incidence, long term outcome and factor related to postoperative delirium in elderly patients after non-cardiac surgery.

Recently our ICU research group developed and validated a delirium prediction model in the NetherlandsThis. This model has a high predictive value. We want to examine what the predictive value is in ICUs of other European countries.

An anonymous international multicenter - clinical survey, one-day observational study.