Delirium in older patients with COVID‐19: Prevalence, risk factors and clinical outcomes across the first three waves of the pandemic.

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Title: Delirium in older patients with COVID‐19: Prevalence, risk factors and clinical outcomes across the first three waves of the pandemic.
Authors: Minnema, Julia (AUTHOR), Tap, Lisanne (AUTHOR), van der Bol, Jessica M. (AUTHOR), van Deudekom, Floor J. A. (AUTHOR), Faes, Miriam C. (AUTHOR), Jansen, Steffy W. M. (AUTHOR), van der Linden, Carolien M. J. (AUTHOR), Lucke, Jacinta A. (AUTHOR), Mooijaart, Simon P. (AUTHOR), van Munster, Barbara (AUTHOR), Noordam, Raymond (AUTHOR), van Raaij, Bas F. M. (AUTHOR), Ruiter, Rikje (AUTHOR), Smits, Rosalinde A. L. (AUTHOR), Willems, Hanna C. (AUTHOR), Mattace‐Raso, Francesco U. S. (AUTHOR), Polinder‐Bos, Harmke A. (AUTHOR)
Source: International Journal of Geriatric Psychiatry. Nov2023, Vol. 38 Issue 11, p1-10. 10p.
Subjects: Frail elderly, COVID-19 vaccines, Health outcome assessment, Hospital mortality, Risk assessment, Delirium, Hospital care, Symptoms, Research funding, Descriptive statistics, Logistic regression analysis, Odds ratio, COVID-19 pandemic, Old age
Abstract: Objectives: Delirium is a serious condition, which poses treatment challenges during hospitalisation for COVID‐19. Improvements in testing, vaccination and treatment might have changed patient characteristics and outcomes through the pandemic. We evaluated whether the prevalence and risk factors for delirium, and the association of delirium with in‐hospital mortality changed through the pandemic. Methods: This study was part of the COVID‐OLD study in 19 Dutch hospitals including patients ≥70 years in the first (spring 2020), second (autumn 2020) and third wave (autumn 2021). Multivariable logistic regression models were used to study risk factors for delirium, and in‐hospital mortality. Differences in effect sizes between waves were studied by including interaction terms between wave and risk factor in logistic regression models. Results: 1540, 884 and 370 patients were included in the first, second and third wave, respectively. Prevalence of delirium in the third wave (12.7%) was significantly lower compared to the first (22.5%) and second wave (23.5%). In multivariable‐adjusted analyses, pre‐existing memory problems was a consistent risk factor for delirium across waves. Previous delirium was a risk factor for delirium in the first wave (OR 4.02), but not in the second (OR 1.61) and third wave (OR 2.59, p‐value interaction‐term 0.028). In multivariable‐adjusted analyses, delirium was not associated with in‐hospital mortality in all waves. Conclusion: Delirium prevalence declined in the third wave, which might be the result of vaccination and improved treatment strategies. Risk factors for delirium remained consistent across waves, although some attenuation was seen in the second wave. Key points: Prevalence of delirium in the third COVID‐19 wave was significantly lower compared to the first and second waveRisk factors for delirium remained consistent across wavesDelirium was not independently associated with in‐hospital mortality [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Geriatric Psychiatry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
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  Data: Delirium in older patients with COVID‐19: Prevalence, risk factors and clinical outcomes across the first three waves of the pandemic.
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  Data: <searchLink fieldCode="AR" term="%22Minnema%2C+Julia%22">Minnema, Julia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tap%2C+Lisanne%22">Tap, Lisanne</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+der+Bol%2C+Jessica+M%2E%22">van der Bol, Jessica M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Deudekom%2C+Floor+J%2E+A%2E%22">van Deudekom, Floor J. A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Faes%2C+Miriam+C%2E%22">Faes, Miriam C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jansen%2C+Steffy+W%2E+M%2E%22">Jansen, Steffy W. M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+der+Linden%2C+Carolien+M%2E+J%2E%22">van der Linden, Carolien M. J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lucke%2C+Jacinta+A%2E%22">Lucke, Jacinta A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mooijaart%2C+Simon+P%2E%22">Mooijaart, Simon P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Munster%2C+Barbara%22">van Munster, Barbara</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Noordam%2C+Raymond%22">Noordam, Raymond</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Raaij%2C+Bas+F%2E+M%2E%22">van Raaij, Bas F. M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ruiter%2C+Rikje%22">Ruiter, Rikje</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smits%2C+Rosalinde+A%2E+L%2E%22">Smits, Rosalinde A. L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Willems%2C+Hanna+C%2E%22">Willems, Hanna C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mattace‐Raso%2C+Francesco+U%2E+S%2E%22">Mattace‐Raso, Francesco U. S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Polinder‐Bos%2C+Harmke+A%2E%22">Polinder‐Bos, Harmke A.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geriatric+Psychiatry%22">International Journal of Geriatric Psychiatry</searchLink>. Nov2023, Vol. 38 Issue 11, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Frail+elderly%22">Frail elderly</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+vaccines%22">COVID-19 vaccines</searchLink><br /><searchLink fieldCode="DE" term="%22Health+outcome+assessment%22">Health outcome assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+mortality%22">Hospital mortality</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Delirium%22">Delirium</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+care%22">Hospital care</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms%22">Symptoms</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Old+age%22">Old age</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives: Delirium is a serious condition, which poses treatment challenges during hospitalisation for COVID‐19. Improvements in testing, vaccination and treatment might have changed patient characteristics and outcomes through the pandemic. We evaluated whether the prevalence and risk factors for delirium, and the association of delirium with in‐hospital mortality changed through the pandemic. Methods: This study was part of the COVID‐OLD study in 19 Dutch hospitals including patients ≥70 years in the first (spring 2020), second (autumn 2020) and third wave (autumn 2021). Multivariable logistic regression models were used to study risk factors for delirium, and in‐hospital mortality. Differences in effect sizes between waves were studied by including interaction terms between wave and risk factor in logistic regression models. Results: 1540, 884 and 370 patients were included in the first, second and third wave, respectively. Prevalence of delirium in the third wave (12.7%) was significantly lower compared to the first (22.5%) and second wave (23.5%). In multivariable‐adjusted analyses, pre‐existing memory problems was a consistent risk factor for delirium across waves. Previous delirium was a risk factor for delirium in the first wave (OR 4.02), but not in the second (OR 1.61) and third wave (OR 2.59, p‐value interaction‐term 0.028). In multivariable‐adjusted analyses, delirium was not associated with in‐hospital mortality in all waves. Conclusion: Delirium prevalence declined in the third wave, which might be the result of vaccination and improved treatment strategies. Risk factors for delirium remained consistent across waves, although some attenuation was seen in the second wave. Key points: Prevalence of delirium in the third COVID‐19 wave was significantly lower compared to the first and second waveRisk factors for delirium remained consistent across wavesDelirium was not independently associated with in‐hospital mortality [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Geriatric Psychiatry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/gps.6024
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        Text: English
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        Type: general
      – SubjectFull: COVID-19 vaccines
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      – SubjectFull: Health outcome assessment
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