Diagnosis of postoperative delirium in older adults using the Confusion Assessment Method for the intensive care unit in non-intensive care unit settings: A test modification might improve its diagnostic performance
Autor: | Onuma Chaiwat, Patumporn Suraarunsumrit, Titima Wongviriyawong, Puriwat Toadithep, Varalak Srinonprasert, Rachaneekorn Ramlee |
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Rok vydání: | 2019 |
Předmět: |
Male
medicine.medical_specialty Critical Care Sensitivity and Specificity law.invention 03 medical and health sciences 0302 clinical medicine Postoperative Cognitive Complications 030502 gerontology law Predictive Value of Tests Patients' Rooms Medicine Humans Medical diagnosis Confusion Geriatric Assessment Aged business.industry Delirium Reproducibility of Results Reference Standards Intensive care unit Confidence interval Test (assessment) Diagnostic and Statistical Manual of Mental Disorders Assessment methods Emergency medicine Female medicine.symptom 0305 other medical science business 030217 neurology & neurosurgery Altered level of consciousness |
Zdroj: | Geriatricsgerontology international. 19(8) |
ISSN: | 1447-0594 |
Popis: | Aim To evaluate the diagnostic performance of the Confusion Assessment Method for the intensive care unit (CAM-ICU) among postoperative older patients in non-ICU settings. Methods The CAM-ICU was used by trained staff to prospectively evaluate postoperative patients for delirium. The patients were aged ≥60 years, were in general wards and had no critical illnesses. The assessments occurred for 7 consecutive days after surgery. The results were compared with delirium diagnoses obtained by geriatricians using Diagnostic and Statistical Manual of Mental Disorders 5th edition criteria as the reference standard. Results The sensitivity of delirium detection for the CAM-ICU was 31.6% (95% confidence interval [CI] 12.6-56.6), while the specificity was 97.6% (95% CI 94.9-99.1), positive predictive value was 50.0% (95% CI 26.3-73.7) and negative predictive value was 95.0% (95% CI 93.3-96.3). Feature 4 (disorganized thinking) yielded the highest sensitivity (60%; 95% CI 14.7-94.7), whereas feature 2 (inattention) had low sensitivity (36.8%; 95% CI 16.3-61.6). Further analyses to explore the highest sensitive criteria showed that if CAM-ICU diagnoses were made by the presence of any two out of feature 1 (acute change or fluctuation of cognition), feature 3 (altered level of consciousness) or feature 4, the sensitivity increased substantially to 80.0% (95% CI 28.4-99.5), with a reasonably high specificity of 81.8% (95% CI 48.2-97.7). Conclusions Modification of the flow of delirium diagnosis using the CAM-ICU appears to offer a better sensitivity for detecting delirium in non-ICU settings. Furthermore, changing feature 2 to evaluate patients' attention levels over a longer period of time might yield a better diagnostic performance. Geriatr Gerontol Int 2019; 19: 762-767. |
Databáze: | OpenAIRE |
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