Objectives: To examine the association between statin use and the risk of delirium in hospitalized patients with an admission to the medical ICU.
Design: Retrospective propensity-matched cohort analysis with accrual from September 1, 2012, to September 30, 2015.
Setting: Hartford Hospital, Hartford, CT.
Patients: An initial population of patients with an admission to a medical ICU totaling 10,216 visits were screened for delirium by means of the Confusion Assessment Method. After exclusions, a population of 6,664 was used to match statin users and nonstatin users. The propensity-matched cohort resulted in a sample of 1,475 patients receiving statin matched 1:1 with control patients not using statin.
Interventions: None.
Measurements And Main Results: Delirium defined as a positive Confusion Assessment Method assessment was the primary end point. The prevalence of delirium was 22.3% in the unmatched cohort and 22.8% in the propensity-matched cohort. Statin use was associated with a significant decrease in the risk of delirium (odds ratio, 0.47; 95% CI, 0.38-0.56). Considering the type of statin used, atorvastatin (0.51; 0.41-0.64), pravastatin (0.40; 0.28-0.58), and simvastatin (0.33; 0.21-0.52) were all significantly associated with a reduced frequency of delirium.
Conclusions: The use of statins was independently associated with a reduction in the risk of delirium in hospitalized patients. When considering types of statins used, this reduction was significant in patients using atorvastatin, pravastatin, and simvastatin. Randomized trials of various statin types in hospitalized patients prone to delirium should validate their use in protection from delirium.
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http://dx.doi.org/10.1097/CCM.0000000000002530 | DOI Listing |
Crit Care Med
December 2024
Department of Psychiatry and Human Behavior, Brown University, Alpert Medical School, Providence, RI.
Objectives: Neurocritically ill patients are at high risk for developing delirium, which can worsen the long-term outcomes of this vulnerable population. However, existing delirium assessment tools do not account for neurologic deficits that often interfere with conventional testing and are therefore unreliable in neurocritically ill patients. We aimed to determine the accuracy and predictive validity of the Fluctuating Mental Status Evaluation (FMSE), a novel delirium screening tool developed specifically for neurocritically ill patients.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
Department of Neurosurgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Sci Rep
January 2025
Department of Anesthesia, College of Health Sciences, Debre Tabor University, PO. Box: 272, Debre Tabor, Ethiopia.
Postoperative delirium has the potential to impact individuals of all age groups, with a significant emphasis on the elderly population. Its presence leads to an increase in surgical morbidity and mortality rates, as well as a notable prolongation of hospital stays. However, there is a lack of research regarding the prevalence, risk factors, and implications of postoperative delirium in developing nations like Ethiopia, which affects both patients and healthcare institutions.
View Article and Find Full Text PDFActa Anaesthesiol Scand
February 2025
Department of Brain and Spinal Cord Injury, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Background: The harm-benefit balance for early out-of-bed mobilisation of patients with severe acquired brain injury (ABI) in neurointensive care units (neuro-ICUs) is unclear, and there are no clinical guidelines. This study aimed to survey the current clinical practice and perceptions among clinicians involved in first out-of-bed mobilisation in Scandinavian neuro-ICUs.
Methods: This was a cross-sectional, anonymous, web-based survey; the reporting follows the recommended CROSS checklist.
Intensive Crit Care Nurs
January 2025
School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District Beijing, China. Electronic address:
Objectives: To evaluate the impact of Artificial Intelligence Assisted Prevention and Management for Delirium (AI-AntiDelirium) on improving adherence to delirium guidelines among nurses in the intensive care unit (ICU).
Research Methodology/design: Between November 2022 and June 2023, A cluster randomized controlled trial was undertaken.
Setting: A total of 38 nurses were enrolled in the interventional arm, whereas 42 nurses were recruited for the control arm in six ICUs across two hospitals in Beijing, comparing nurses' adherence and cognitive load in units that use AI-AntiDelirium or the control group.
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