ArticleAging clinical and experimental research2020
The short IQCODE as a predictor for delirium in hospitalized geriatric patients.
Article in Aging clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Progress of nursing management for delirium in critically ill geriatric patients: a narrative review.Frontiers in human neuroscience · 2026Review
- Association of postoperative delirium with serum and cerebrospinal fluid proteomic profiles: a prospective cohort study in older hip fracture patients.GeroScience · 2024Article
- Effectiveness of a multicomponent exercise training program for the management of delirium in hospitalized older adults using near-infrared spectroscopy as a biomarker of brain perfusion: Study protocol for a randomized controlled trial.Frontiers in aging neuroscience · 2022Article
- The short IQCODE as a predictor for delirium in hospitalized geriatric patients.Aging clinical and experimental research · 2020Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundDelirium is a serious complication, which occurs frequently in older patients with pre-existing cognitive impairment. There is a need for a simple tool to assess chronic cognitive impairment and the associated risk of delirium during hospitalization.
aimsTo assess the usefulness of the short IQCODE questionnaire in predicting delirium during hospitalization in older patients in a geriatric ward.
methodsA prognostic study in the Geriatric Department at Aarhus University Hospital, Aarhus Denmark. Consecutive patients were enrolled during March to December, 2017. After consent of the patient, the staff interviewed the relatives by phone using the short IQCODE questionnaire. Delirium was assessed morning and evening until discharge by the Confusion Assessment Method. The ability of short IQCODE to predict delirium was examined.
resultsThree hundred and fifty-three patients were eligible, and 306 completed the IQCODE. Delirium occurred among 19% of the patients during hospitalization. The IQCODE score was associated with the risk of delirium with a receiver operating characteristic (ROC) area of 0.72. A cut-point of 3.3 could separate the patients in a larger group with a risk of approximately 26% to develop delirium and a smaller group having a risk of approximately 6%.
conclusionThe IQCODE is a useful tool to predict delirium among older inpatients, but it may not stand alone. It can be a useful supplement to other clinical information and observations in detecting patients needing dementia-friendly treatment and care.
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