ArticleEuropean geriatric medicine2026
Prevalence, associated factors, and predictive nomogram of delirium among older nursing home residents in China.
Article in European geriatric medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Incidence of delirium in hospitalized heart failure patients: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Pooled it
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Authors and funding
10 authors.
Funding
Abstract
introductionDelirium, a serious geriatric syndrome, is prevalent in nursing homes. This study aims to identify the prevalence, associated factors for delirium among older residents in Chinese nursing homes, and to develop and validate a nomogram for identifying high-risk individuals for delirium.
methodsA cross-sectional survey was conducted in eight nursing homes in Xi'an, Shaanxi Province, China, using the 3-Minute Diagnostic Interview for CAM-defined Delirium (3D-CAM). Data from the first six nursing homes were utilized as the training dataset, while data from the remaining two nursing homes were employed for external validation. Initially, variable selection was performed using LASSO regression on the training set, followed by identification of significant predictors of delirium through multivariate logistic regression. Subsequently, a prediction model was developed based on the selected factors and evaluated for its performance on the training set. Finally, external validation of the model was conducted using the validation set.
resultsThe study included a total of 406 older nursing home residents, of whom 125 (30.79%) were diagnosed with delirium. Using LASSO and multivariate logistic regression analysis, factors dementia, MNA, ADL, frailty score, and antipsychotics were identified as significantly associated with the presence of delirium in older residents. The AUC values of the prediction model were 0.836 (95% CI 0.788-0.884) for the training set and 0.768 (95% CI 0.676-0.860) for the external validation set. Additionally, the model demonstrated good calibration and clinical utility.
conclusionThis nomogram exhibited good predictive performance for delirium in older nursing home residents, facilitating the early identification of high-risk individuals and potentially enhancing clinical outcomes. Future multi-center studies with larger sample sizes are required to confirm the associations between individual variables and delirium, as well as to further validate the model.
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