Prediction models for postoperative delirium after cardiac surgery: Systematic review and critical appraisal-Reference-Cited by-全球学者库

Prediction models for postoperative delirium after cardiac surgery: Systematic review and critical appraisal

Published:2022-12 Issue: Volume:136 Page:104340
ISSN:0020-7489
Container-title:International Journal of Nursing Studies
language:en
Short-container-title:International Journal of Nursing Studies

Author:

Cai Shining,Li Jingjing,Gao Jian,Pan Wenyan,Zhang Yuxia

Publisher

Elsevier BV

Subject

General Nursing

Reference40 articles.

1. European Society of Anaesthesiology evidence-based and consensus-based guideline on postoperative delirium;Aldecoa;Eur. J. Anaesthesiol.,2017

2. Dangers of using "optimal" cutpoints in the evaluation of prognostic factors;Altman;J. Natl. Cancer Inst.,1994

3. Diagnostic And Statistical Manual of Mental Disorders (DSM-5);Association,2013

4. Duration of postoperative delirium is an independent predictor of 6-month mortality in older adults after hip fracture;Bellelli;J. Am. Geriatr. Soc.,2014

5. Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study;van den Boogaard;BMJ,2012

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1. A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records;BMC Cardiovascular Disorders;2024-01-18

2. Effect of remimazolam on electroencephalogram burst suppression in elderly patients undergoing cardiac surgery: Protocol for a randomized controlled noninferiority trial;Heliyon;2024-01

3. Delirium is associated with failure to rescue after cardiac surgery;JTCVS Open;2023-12

4. A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records;2023-09-05

5. Development of a machine learning-based prediction model for sepsis-associated delirium in the intensive care unit;Scientific Reports;2023-08-04