Observational studyBMJ open2019
Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study.
Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The role of diabetes mellitus on delirium onset: a systematic review and meta-analysis.Cardiovascular diabetology · 2025 · on this mapPooled it
- Risk Factors for Delirium and Cognitive Decline Following Coronary Artery Bypass Grafting Surgery: A Systematic Review and Meta-Analysis.Journal of the American Heart Association · 2020Pooled it
- Comparison and Clinical Value of Ciprofol and Propofol in Intraoperative Adverse Reactions, Operation, Resuscitation, and Satisfaction of Patients under Painless Gastroenteroscopy Anesthesia.Contrast media & molecular imaging · 2022Trial
- Development and validation of a post-operative delirium prediction model for patients undergoing abdominal surgery: a retrospective, observational, single-center study.Perioperative medicine (London, England) · 2026Article
- Analysis of acute glomerulonephritis disease burden and incidence trends in China, 1990-2021.International urology and nephrology · 2026Article
- Advantages of Ciprofol with Special Consideration of Pediatric Anesthesia.Children (Basel, Switzerland) · 2026Review
- Development and Validation of a Postoperative Delirium Prediction Model for Patients Undergoing Gastrointestinal Surgery.Clinical and experimental gastroenterology · 2026Article
- Association between intraoperative electroencephalograph complexity index and postoperative delirium in elderly patients undergoing orthopedic surgery: a prospective cohort study.Journal of anesthesia · 2025Article
- Determining the ground truth for the prediction of delirium in adult patients in acute care: a scoping review.JAMIA open · 2025Review
- Article
- The Role of Stress Hyperglycemia on Delirium Onset.Journal of clinical medicine · 2025Review
- Development and validation of a postoperative delirium risk prediction model for non-cardiac surgery in elderly patients.Frontiers in psychiatry · 2025Article
- Knowledge of Delirium Among ICU Nursing Staff: A Cross-sectional Study.Indian journal of psychological medicine · 2024Article
- Predictive modeling for post operative delirium in elderly.World journal of gastrointestinal oncology · 2024Article
- Translation, cultural debugging, and validation of the Chinese version of the Sour Seven Questionnaire: a cross-sectional study.Frontiers in medicine · 2024Article
- Article
- Perioperative neurocognitive disorders: A narrative review focusing on diagnosis, prevention, and treatment.CNS neuroscience & therapeutics · 2022Review
- Automated machine learning-based model predicts postoperative delirium using readily extractable perioperative collected electronic data.CNS neuroscience & therapeutics · 2022Observational
- Efficacy and Safety of Ciprofol Sedation in ICU Patients with Mechanical Ventilation: A Clinical Trial Study Protocol.Advances in therapy · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe aimed to develop and validate a postoperative delirium (POD) prediction model for patients admitted to the intensive care unit (ICU).
designA prospective study was conducted.
settingThe study was conducted in the surgical, cardiovascular surgical and trauma surgical ICUs of an affiliated hospital of a medical university in Heilongjiang Province, China.
participantsThis study included 400 patients (≥18 years old) admitted to the ICU after surgery. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was POD assessment during ICU stay.
resultsThe model was developed using 300 consecutive ICU patients and was validated using 100 patients from the same ICUs. The model was based on five risk factors: Physiological and Operative Severity Score for the enumeration of Mortality and morbidity; acid-base disturbance and history of coma, diabetes or hypertension. The model had an area under the receiver operating characteristics curve of 0.852 (95% CI 0.802 to 0.902), Youden index of 0.5789, sensitivity of 70.73% and specificity of 87.16%. The Hosmer-Lemeshow goodness of fit was 5.203 (p=0.736). At a cutoff value of 24.5%, the sensitivity and specificity were 71% and 69%, respectively.
conclusionsThe model, which used readily available data, exhibited high predictive value regarding risk of ICU-POD at admission. Use of this model may facilitate better implementation of preventive treatments and nursing measures.
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