ArticleHNO2026
[Geriatric oncology patients at the center of nurse-led delirium management].
Article in HNO, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundPostoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older patients and is associated with increased morbidity and mortality, a prolonged length of stay, complications, and persistent cognitive impairment. After major head and neck procedures, the risk is particularly high; risk factors often accumulate, including advanced age, pre-existing cognitive impairment, high American Society of Anesthesiologists (ASA) status, polypharmacy, malnutrition, and prolonged operative time. No established pharmacological primary therapy exists; early detection, prevention, and treatment of underlying causes are first line.
objectiveThis work constitutes the initial implementation and testing of a process-oriented delirium management program in the departments of otorhinolaryngology (ENT) and ophthalmology of a university hospital.
methodsA practice development project was carried out (2022-2024) to implement standardized delirium management in ENT and ophthalmology. It included risk stratification upon admission, monitoring using the Delirium Observation Screening Scale, and non-pharmacological preventive measures. Positive screenings were validated by a nursing-led delirium assessment team using the confusion assessment method. Process-related routine data screenings from 2023/2024 were evaluated descriptively.
resultsA delirium assessment team was established alongside a systematic delirium pathway focusing on risk identification, screening, prevention, confirmatory diagnosis, and treatment of deliriogenic causes. In the ENT clinic, 63 positive screenings were recorded in 2023/2024. The cumulative delirium incidence was 30.2% overall (men 32.0%, women 23.1%); age-stratified: 0% (< 65 years), 45.8% (65-79 years), and 27.6% (≥ 80 years). The new processes showed good acceptance.
conclusionStructured capture of positive screenings enables collection of robust routine data for quality management. Process breaks due to manual steps favor underdetection and treatment delays. Digitally automated process components can increase adherence and process stability. Artificial intelligence (AI)-based decision-support tools appear promising for future clinical use.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.