| KOŠŤÁLOVÁ, Milena, Josef BEDNAŘÍK, Adéla MITÁŠOVÁ, Ladislav DUŠEK, Radka MICHALČÁKOVÁ, Miloš KEŘKOVSKÝ, Tomáš KAŠPÁREK, Martina JEŽKOVÁ, Petra BALABÁNOVÁ a Stanislav VOHÁŇKA. Towards a predictive model for post-stroke delirium. Online. Brain Injury. London: Taylor & Francis, 2012, roč. 26, 7-8, s. 962-971. ISSN 0269-9052. Dostupné z: https://dx.doi.org/10.3109/02699052.2012.660510. [citováno 2024-04-24] |
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@article{987424,
author = {Košťálová, Milena and Bednařík, Josef and Mitášová, Adéla and Dušek, Ladislav and Michalčáková, Radka and Keřkovský, Miloš and Kašpárek, Tomáš and Ježková, Martina and Balabánová, Petra and Voháňka, Stanislav},
article_location = {London},
article_number = {7-8},
doi = {http://dx.doi.org/10.3109/02699052.2012.660510},
keywords = {Delirium; stroke; risk factors; incidence; prediction},
language = {eng},
issn = {0269-9052},
journal = {Brain Injury},
title = {Towards a predictive model for post-stroke delirium},
volume = {26},
year = {2012}
}
TY - JOUR
ID - 987424
AU - Košťálová, Milena - Bednařík, Josef - Mitášová, Adéla - Dušek, Ladislav - Michalčáková, Radka - Keřkovský, Miloš - Kašpárek, Tomáš - Ježková, Martina - Balabánová, Petra - Voháňka, Stanislav
PY - 2012
TI - Towards a predictive model for post-stroke delirium
JF - Brain Injury
VL - 26
IS - 7-8
SP - 962-971
EP - 962-971
PB - Taylor & Francis
SN - 02699052
KW - Delirium
KW - stroke
KW - risk factors
KW - incidence
KW - prediction
N2 - Primary objective: To assess predisposing and precipitating risk factors and create a predictive model for post-stroke delirium. Research design: A prospective observational study in a cohort of consecutive patients with ischemic stroke or intracerebral haematoma admitted within 24 hours of stroke onset. Methods: Patients were assessed daily for delirium during the first week by means of DSM-IV criteria and risk factors were recorded. Results: One hundred patients completed a 7-day evaluation (47 women and 53 men, median age 77 years). An episode of delirium was detected in 43 patients (43%). Using multivariate logistic regression, a predictive statistical model was developed that utilized independent risk factors: age (OR = 1.08; 95% CI = 1.02-1.15); intracerebral haemorrhage (OR = 6.11; 95% CI = 1.62-22.98), lesion volume > 40 ccm (OR = 3.99; 95% CI = 1.29-12.39) and either elevated gamma-glytamyl transferase (OR = 4.88; 95% CI = 1.45-16.35) and elevated serum bilirubin (OR = 3.70; 95% CI = 1.32-10.38) or maximum sequential organ failure assessment score >2 (OR = 3.33; 95% CI = 1.06-10.45) with acceptable sensitivity and specificity (69.0% and 80.7%). In ischemic strokes, total anterior circulation infarctions were more frequently associated with delirium (73.3% developed delirium) compared with the remainder of the groups combined (p = 0.004; OR = 6.66; 95% CI = 1.85-24.01). Conclusion: Higher age, metabolic disturbances, intracerebral haemorrhage and larger ischemic hemispheric strokes increase the risk of post-stroke delirium.
ER -
KOŠŤÁLOVÁ, Milena, Josef BEDNAŘÍK, Adéla MITÁŠOVÁ, Ladislav DUŠEK, Radka MICHALČÁKOVÁ, Miloš KEŘKOVSKÝ, Tomáš KAŠPÁREK, Martina JEŽKOVÁ, Petra BALABÁNOVÁ a Stanislav VOHÁŇKA. Towards a predictive model for post-stroke delirium. Online. \textit{Brain Injury}. London: Taylor \&{} Francis, 2012, roč.~26, 7-8, s.~962-971. ISSN~0269-9052. Dostupné z: https://dx.doi.org/10.3109/02699052.2012.660510. [citováno 2024-04-24]
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