Literature DB >> 29206286

Recognition of Delirium Features in Clinical Practice: Data from the "Delirium Day 2015" National Survey.

Enrico Mossello1, Francesca Tesi1, Simona G Di Santo2, Andrea Mazzone3, Monica Torrini1, Antonio Cherubini4, Mario Bo5, Massimo Musicco6,7, Angelo Bianchetti8, Alberto Ferrari9,10, Nicola Ferrara11,12,13, Marco Trabucchi14,15,16, Alessandro Morandi16,17, Giuseppe Bellelli16,18,19.   

Abstract

BACKGROUND/
OBJECTIVES: Delirium is underrecognized in clinical practice. The primary aim of the present multicenter study was to compare the ability of nurses to identify delirium features with a standardized assessment. The secondary aim was to identify predictors of missed or incorrect identifications of delirium by nurses.
DESIGN: Point prevalence study in 120 wards across Italy.
SETTING: "Delirium Day 2015." PARTICIPANTS: Inpatients aged 65 and older (N = 1,867). MEASUREMENTS: Participants and nurses were asked specific questions to investigate their perceptions of the presence of delirium features (acute cognitive change, inattention, cognitive fluctuations, impaired arousal). Delirium was identified according to the results of the Assessment Test for Delirium and Cognitive Impairment (4AT), completed by a physician. Comorbidities including dementia, disability, drug treatments, and delirium motor subtype according to the Delirium Motor Subtype Scale were recorded.
RESULTS: Delirium was present in 429 subjects (23%) according to the 4AT. Cognitive fluctuations was the delirium feature that the nurses most often recognized. Nurses' perceptions of acute cognitive change, cognitive fluctuations, or impaired arousal had 84% sensitivity and 81% specificity for delirium. The nonmotor subtype of delirium was less likely to be recognized (80%) than the hyperactive (97%), mixed (92%), and hypoactive (90%) subtypes. Incorrect perception of delirium was more frequent in subjects with dementia (specificity 64%).
CONCLUSIONS: The delirium feature that nurses were best able to recognize was cognitive fluctuations. The nonmotor subtype was associated with a lower recognition rate. Routine observation and registration of delirium features by nurses in clinical practice might be helpful to increase formal diagnosis of delirium.
© 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.

Entities:  

Keywords:  arousal; delirium; dementia; health services for the aged; inpatients

Mesh:

Year:  2017        PMID: 29206286     DOI: 10.1111/jgs.15211

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  6 in total

1.  Prevalence and features of delirium in older patients admitted to rehabilitation facilities: a multicenter study.

Authors:  Alessandro Morandi; Giuseppe Bellelli; Chiara Sidoli; Antonella Zambon; Elena Tassistro; Emanuela Rossi; Enrico Mossello; Marco Inzitari; Antonio Cherubini; Alessandra Marengoni
Journal:  Aging Clin Exp Res       Date:  2022-04-08       Impact factor: 4.481

Review 2.  Family and healthcare staff's perception of delirium.

Authors:  Enrico Mossello; Flaminia Lucchini; Francesca Tesi; Laura Rasero
Journal:  Eur Geriatr Med       Date:  2020-01-01       Impact factor: 1.710

3.  Association of Duration of Surgery With Postoperative Delirium Among Patients Receiving Hip Fracture Repair.

Authors:  Bheeshma Ravi; Daniel Pincus; Stephen Choi; Richard Jenkinson; David N Wasserstein; Donald A Redelmeier
Journal:  JAMA Netw Open       Date:  2019-02-01

4.  Profiling Delirium Progression in Elderly Patients via Continuous-Time Markov Multi-State Transition Models.

Authors:  Honoria Ocagli; Danila Azzolina; Rozita Soltanmohammadi; Roqaye Aliyari; Daniele Bottigliengo; Aslihan Senturk Acar; Lucia Stivanello; Mario Degan; Ileana Baldi; Giulia Lorenzoni; Dario Gregori
Journal:  J Pers Med       Date:  2021-05-21

5.  A Machine Learning Approach for Investigating Delirium as a Multifactorial Syndrome.

Authors:  Honoria Ocagli; Daniele Bottigliengo; Giulia Lorenzoni; Danila Azzolina; Aslihan S Acar; Silvia Sorgato; Lucia Stivanello; Mario Degan; Dario Gregori
Journal:  Int J Environ Res Public Health       Date:  2021-07-02       Impact factor: 3.390

6.  Estimating the potential for dementia prevention through modifiable risk factors elimination in the real-world setting: a population-based study.

Authors:  Elena Rolandi; Daniele Zaccaria; Roberta Vaccaro; Simona Abbondanza; Laura Pettinato; Annalisa Davin; Antonio Guaita
Journal:  Alzheimers Res Ther       Date:  2020-08-07       Impact factor: 6.982

  6 in total

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