Publication: Postoperative delirium in critically ill surgical patients: Incidence, risk factors, and predictive scores
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Issued Date
2019-03-20
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ISSN
14712253
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2-s2.0-85063265455
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Mahidol University
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SCOPUS
Bibliographic Citation
BMC Anesthesiology. Vol.19, No.1 (2019)
Suggested Citation
Onuma Chaiwat, Mellada Chanidnuan, Worapat Pancharoen, Kittiya Vijitmala, Praniti Danpornprasert, Puriwat Toadithep, Chayanan Thanakiattiwibun Postoperative delirium in critically ill surgical patients: Incidence, risk factors, and predictive scores. BMC Anesthesiology. Vol.19, No.1 (2019). doi:10.1186/s12871-019-0694-x Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/51788
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Title
Postoperative delirium in critically ill surgical patients: Incidence, risk factors, and predictive scores
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Abstract
© 2019 The Author(s). Background: A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes. Objectives: To identify the incidence of, and the risk factors for, postoperative delirium (POD) in surgical intensive care unit (SICU) patients, and to determine predictive scores for the development of POD. Methods: This study enrolled adults aged over 18 years who had undergone an operation within the preceding week and who had been admitted to a SICU for a period that was expected to be longer than 24 h. The CAM - ICU score was used to determine the occurrence of delirium. Results: Of the 250 patients enrolled, delirium was found in 61 (24.4%). The independent risk factors for delirium that were identified by a multivariate analysis comprised age, diabetes mellitus, severity of disease (SOFA score), perioperative use of benzodiazepine, and mechanical ventilation. A predictive score (age + (5 × SOFA) + (15 × Benzodiazepine use) + (20 × DM) + (20 × mechanical ventilation) + (20 × modified IQCODE > 3.42)) was created. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 (95% CI: 0.786 to 0.897). The cut point of 125 demonstrated a sensitivity of 72.13% and a specificity of 80.95%, and the hospital mortality rate was significantly greater among the delirious than the non-delirious patients (25% vs. 6%, p < 0.01). Conclusions: POD was experienced postoperatively by a quarter of the surgical patients who were critically ill. A risk score utilizing 6 variables was able to predict which patients would develop POD. The identification of high-risk patients following SICU admission can provide a basis for intervention strategies to improve outcomes. Trial registration: Thai Clinical Trials Registry TCTR20181204006. Date registered on December 4, 2018. Retrospectively registered.