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Delirium in an adult acute hospital population: predictors, prevalence and detection

BACKGROUND: To date, delirium prevalence and incidence in acute hospitals has been estimated from pooled findings of studies performed in distinct patient populations. OBJECTIVE: To determine delirium prevalence across an acute care facility. DESIGN: A point prevalence study. SETTING: A large tertia...

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Autores principales: Ryan, Daniel James, O'Regan, Niamh Annmarie, Caoimh, Ronán Ó, Clare, Josie, O'Connor, Marie, Leonard, Maeve, McFarland, John, Tighe, Sheila, O'Sullivan, Kathleen, Trzepacz, Paula T, Meagher, David, Timmons, Suzanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549230/
https://www.ncbi.nlm.nih.gov/pubmed/23299110
http://dx.doi.org/10.1136/bmjopen-2012-001772
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author Ryan, Daniel James
O'Regan, Niamh Annmarie
Caoimh, Ronán Ó
Clare, Josie
O'Connor, Marie
Leonard, Maeve
McFarland, John
Tighe, Sheila
O'Sullivan, Kathleen
Trzepacz, Paula T
Meagher, David
Timmons, Suzanne
author_facet Ryan, Daniel James
O'Regan, Niamh Annmarie
Caoimh, Ronán Ó
Clare, Josie
O'Connor, Marie
Leonard, Maeve
McFarland, John
Tighe, Sheila
O'Sullivan, Kathleen
Trzepacz, Paula T
Meagher, David
Timmons, Suzanne
author_sort Ryan, Daniel James
collection PubMed
description BACKGROUND: To date, delirium prevalence and incidence in acute hospitals has been estimated from pooled findings of studies performed in distinct patient populations. OBJECTIVE: To determine delirium prevalence across an acute care facility. DESIGN: A point prevalence study. SETTING: A large tertiary care, teaching hospital. PATIENTS: 311 general hospital adult inpatients were assessed over a single day. Of those, 280 had full data collected within the study's time frame (90%). MEASUREMENTS: Initial screening for inattention was performed using the spatial span forwards and months backwards tests by junior medical staff, followed by two independent formal delirium assessments: first the Confusion Assessment Method (CAM) by trained geriatric medicine consultants and registrars, and, subsequently, the Delirium Rating Scale-Revised-98 (DRS-R98) by experienced psychiatrists. The diagnosis of delirium was ultimately made using DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) criteria. RESULTS: Using DSM-IV criteria, 55 of 280 patients (19.6%) had delirium versus 17.6% using the CAM. Using the DRS-R98 total score for independent diagnosis, 20.7% had full delirium, and 8.6% had subsyndromal delirium. Prevalence was higher in older patients (4.7% if <50 years and 34.8% if >80 years) and particularly in those with prior dementia (OR=15.33, p<0.001), even when adjusted for potential confounders. Although 50.9% of delirious patients had pre-existing dementia, it was poorly documented in the medical notes. Delirium symptoms detected by medical notes, nurse interview and patient reports did not overlap much, with inattention noted by professional staff, and acute change and sleep-wake disturbance noted by patients. CONCLUSIONS: Our point prevalence study confirms that delirium occurs in about 1/5 of general hospital inpatients and particularly in those with prior cognitive impairment. Recognition strategies may need to be tailored to the symptoms most noticed by the detector (patient, nurse or primary physician) if formal assessments are not available.
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spelling pubmed-35492302013-01-23 Delirium in an adult acute hospital population: predictors, prevalence and detection Ryan, Daniel James O'Regan, Niamh Annmarie Caoimh, Ronán Ó Clare, Josie O'Connor, Marie Leonard, Maeve McFarland, John Tighe, Sheila O'Sullivan, Kathleen Trzepacz, Paula T Meagher, David Timmons, Suzanne BMJ Open Epidemiology BACKGROUND: To date, delirium prevalence and incidence in acute hospitals has been estimated from pooled findings of studies performed in distinct patient populations. OBJECTIVE: To determine delirium prevalence across an acute care facility. DESIGN: A point prevalence study. SETTING: A large tertiary care, teaching hospital. PATIENTS: 311 general hospital adult inpatients were assessed over a single day. Of those, 280 had full data collected within the study's time frame (90%). MEASUREMENTS: Initial screening for inattention was performed using the spatial span forwards and months backwards tests by junior medical staff, followed by two independent formal delirium assessments: first the Confusion Assessment Method (CAM) by trained geriatric medicine consultants and registrars, and, subsequently, the Delirium Rating Scale-Revised-98 (DRS-R98) by experienced psychiatrists. The diagnosis of delirium was ultimately made using DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) criteria. RESULTS: Using DSM-IV criteria, 55 of 280 patients (19.6%) had delirium versus 17.6% using the CAM. Using the DRS-R98 total score for independent diagnosis, 20.7% had full delirium, and 8.6% had subsyndromal delirium. Prevalence was higher in older patients (4.7% if <50 years and 34.8% if >80 years) and particularly in those with prior dementia (OR=15.33, p<0.001), even when adjusted for potential confounders. Although 50.9% of delirious patients had pre-existing dementia, it was poorly documented in the medical notes. Delirium symptoms detected by medical notes, nurse interview and patient reports did not overlap much, with inattention noted by professional staff, and acute change and sleep-wake disturbance noted by patients. CONCLUSIONS: Our point prevalence study confirms that delirium occurs in about 1/5 of general hospital inpatients and particularly in those with prior cognitive impairment. Recognition strategies may need to be tailored to the symptoms most noticed by the detector (patient, nurse or primary physician) if formal assessments are not available. BMJ Publishing Group 2013-01-07 /pmc/articles/PMC3549230/ /pubmed/23299110 http://dx.doi.org/10.1136/bmjopen-2012-001772 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode
spellingShingle Epidemiology
Ryan, Daniel James
O'Regan, Niamh Annmarie
Caoimh, Ronán Ó
Clare, Josie
O'Connor, Marie
Leonard, Maeve
McFarland, John
Tighe, Sheila
O'Sullivan, Kathleen
Trzepacz, Paula T
Meagher, David
Timmons, Suzanne
Delirium in an adult acute hospital population: predictors, prevalence and detection
title Delirium in an adult acute hospital population: predictors, prevalence and detection
title_full Delirium in an adult acute hospital population: predictors, prevalence and detection
title_fullStr Delirium in an adult acute hospital population: predictors, prevalence and detection
title_full_unstemmed Delirium in an adult acute hospital population: predictors, prevalence and detection
title_short Delirium in an adult acute hospital population: predictors, prevalence and detection
title_sort delirium in an adult acute hospital population: predictors, prevalence and detection
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549230/
https://www.ncbi.nlm.nih.gov/pubmed/23299110
http://dx.doi.org/10.1136/bmjopen-2012-001772
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