PurposeThe purpose of this study was to determine the validity and reliability of the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), when compared to the diagnoses made by delirium experts.Patients and methodsThis was a cross-sectional study conducted in both surgical intensive care and subintensive care units in Thailand between February–June 2011. Seventy patients aged 60 years or older who had been admitted to the units were enrolled into the study within the first 48 hours of admission. Each patient was randomly assessed as to whether they had delirium by a nurse using the Thai version of the CAM-ICU algorithm (Thai CAM-ICU) or by a delirium expert using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision.ResultsThe prevalence of delirium was found to be 18.6% (n=13) by the delirium experts. The sensitivity of the Thai CAM-ICU’s algorithms was found to be 92.3% (95% confidence interval [CI] =64.0%−99.8%), while the specificity was 94.7% (95% CI =85.4%−98.9%). The instrument displayed good interrater reliability (Cohen’s κ =0.81; 95% CI =0.64−0.99). The time taken to complete the Thai CAM-ICU was 1 minute (interquatile range, 1−2 minutes).ConclusionThe Thai CAM-ICU demonstrated good validity, reliability, and ease of use when diagnosing delirium in a surgical intensive care unit setting. The use of this diagnostic tool should be encouraged for daily, routine use, so as to promote the early detection of delirium and its rapid treatment.

Background: Depression comprises common psychological problems, and has been strongly related to neuroticism and perceived stress. While neuroticism has been shown to have a direct effect on depression, it also has an indirect effect via perceived stress. Among the elderly, cognitive function produces influences that should not be overlooked when investigating depression. This study aimed to determine the role of mediating effects of perceived stress as well as cognitive function on neuroticism and depression among elderly patients. Methods: This research constituted a secondary analysis, with data collected during the pre-operative period of 429 elderly individuals undergoing elective, noncardiac surgery. The evaluation included the Perceived Stress Scale, the Neuroticism Inventory, the Montreal Cognitive Assessment, and the Geriatric Depression Scale. Structural equation modeling was used to investigate the hypothesized model. Results: Neuroticism exhibited a significant indirect effect on perceived stress via depression and cognition (β = 0.162, 95% CI 0.026, 0.322, p = .002). Neuroticism initially had a direct effect on depression (β = 0.766, 95% CI 0.675, 0.843 p = 0.003); thereafter, it was reduced after covariates were added (β = 0.557, 95% CI 0.432, 0.668 p = 0.002). Based on this model, the total variance explained by this model was 67%, and the model showed an acceptable fit with the data. Conclusions: Both perceived stress and cognitive function partially mediated the effect of neuroticism on depression, with perceived stress exhibiting a greater effect. Trial registration: The study protocol has been registered at Clinicaltrials.gov under registered number: NCT02131181.

No abstract

Purpose: To determine the incidence, risk factors, and adverse clinical outcomes of postoperative delirium (POD) in elderly patients.Design and Methods: A total of 429 patients scheduled to undergo noncardiac surgery were recruited. Delirium was assessed using the confusion assessment method.Findings: The incidence of POD was 5.4%. Risk factors of POD were age over 70 years, an American Society of Anesthesiologist physical status 2 and 3, cognitive impairment, history of psychiatric illness, and preoperative hemoglobin ≤ 10 g/dl.

ObjectiveTo internally and externally validate a delirium predictive model for adult patients admitted to intensive care units (ICUs) following surgery.DesignA prospective, observational, multicentre study.SettingThree university-affiliated teaching hospitals in Thailand.ParticipantsAdults aged over 18 years were enrolled if they were admitted to a surgical ICU (SICU) and had the surgery within 7 days before SICU admission.Main outcome measuresPostoperative delirium was assessed using the Thai version of the Confusion Assessment Method for the ICU. The assessments commenced on the first day after the patient’s operation and continued for 7 days, or until either discharge from the ICU or the death of the patient. Validation was performed of the previously developed delirium predictive model: age+(5×SOFA)+(15×benzodiazepine use)+(20×DM)+(20×mechanical ventilation)+(20×modified IQCODE>3.42).ResultsIn all, 380 SICU patients were recruited. Internal validation on 150 patients with the mean age of 75±7.5 years resulted in an area under a receiver operating characteristic curve (AUROC) of 0.76 (0.683 to 0.837). External validation on 230 patients with the mean age of 57±17.3 years resulted in an AUROC of 0.85 (0.789 to 0.906). The AUROC of all validation cohorts was 0.83 (0.785 to 0.872). The optimum cut-off value to discriminate between a high and low probability of postoperative delirium in SICU patients was 115. This cut-off offered the highest value for Youden’s index (0.50), the best AUROC, and the optimum values for sensitivity (78.9%) and specificity (70.9%).ConclusionsThe model developed by the previous study was able to predict the occurrence of postoperative delirium in critically ill surgical patients admitted to SICUs.Trial registration numberThai Clinical Trail Registry (TCTR20180105001).