Literature DB >> 28144726

[Delirium in stroke patients : Critical analysis of statistical procedures for the identification of risk factors].

P Nydahl1, N G Margraf2, A Ewers3.   

Abstract

BACKGROUND: Delirium is a relevant complication following an acute stroke. It is a multifactor occurrence with numerous interacting risk factors that alternately influence each other. PROBLEM: The risk factors of delirium in stroke patients are often based on limited clinical studies. The statistical procedures and clinical relevance of delirium related risk factors in adult stroke patients should therefore be questioned.
METHOD: This secondary analysis includes clinically relevant studies that give evidence for the clinical relevance and statistical significance of delirium-associated risk factors in stroke patients. The quality of the reporting of regression analyses was assessed using Ottenbacher's quality criteria. The delirium-associated risk factors identified were examined with regard to statistical significance using the Bonferroni method of multiple testing for forming incorrect positive hypotheses. This was followed by a literature-based discussion on clinical relevance.
RESULTS: Nine clinical studies were included. None of the studies fulfilled all the prerequisites and assumptions given for the reporting of regression analyses according to Ottenbacher. Of the 108 delirium-associated risk factors, a total of 48 (44.4%) were significant, whereby a total of 28 (58.3%) were false positive after Bonferroni correction. Following a literature-based discussion on clinical relevance, the assumption of statistical significance and clinical relevance could be found for only four risk factors (dementia or cognitive impairment, total anterior infarct, severe infarct and infections).
CONCLUSIONS: The statistical procedures used in the existing literature are questionable, as are their results. A post-hoc analysis and critical appraisal reduced the number of possible delirium-associated risk factors to just a few clinically relevant factors.

Entities:  

Keywords:  Cognitive dysfunction; Delirium; Regression analysis; Risk factors; Stroke

Mesh:

Year:  2017        PMID: 28144726     DOI: 10.1007/s00063-016-0257-6

Source DB:  PubMed          Journal:  Med Klin Intensivmed Notfmed        ISSN: 2193-6218            Impact factor:   0.840


  36 in total

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2.  Evaluation of logistic regression reporting in current obstetrics and gynecology literature.

Authors:  Rafael T Mikolajczyk; Alexis DiSilvestro; Alexis DiSilvesto; Jun Zhang
Journal:  Obstet Gynecol       Date:  2008-02       Impact factor: 7.661

3.  Delirium within three days of stroke in a cohort of elderly patients.

Authors:  Ai Zhen Sheng; Qing Shen; Dennis Cordato; Yun Yun Zhang; Daniel Kam Yin Chan
Journal:  J Am Geriatr Soc       Date:  2006-08       Impact factor: 5.562

4.  Subgroup analysis and other (mis)uses of baseline data in clinical trials.

Authors:  S F Assmann; S J Pocock; L E Enos; L E Kasten
Journal:  Lancet       Date:  2000-03-25       Impact factor: 79.321

Review 5.  Delirium superimposed on dementia and mild cognitive impairment.

Authors:  Martha Roden; B Brent Simmons
Journal:  Postgrad Med       Date:  2014-10       Impact factor: 3.840

6.  Predictors and correlates of dissatisfaction with intensive care.

Authors:  Sabina Hunziker; Wendy McHugh; Barbara Sarnoff-Lee; Sabrina Cannistraro; Long Ngo; Edward Marcantonio; Michael D Howell
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7.  Precipitating factors of delirium: stress response to multiple triggers among patients with and without dementia.

Authors:  E H Hölttä; J V Laurila; M L Laakkonen; T E Strandberg; R S Tilvis; K H Pitkala
Journal:  Exp Gerontol       Date:  2014-05-05       Impact factor: 4.032

8.  Delirium in the first days of acute stroke.

Authors:  Lara Caeiro; José M Ferro; Rodolfo Albuquerque; M Luísa Figueira
Journal:  J Neurol       Date:  2004-02       Impact factor: 4.849

9.  Test accuracy of short screening tests for diagnosis of delirium or cognitive impairment in an acute stroke unit setting.

Authors:  Rosalind Lees; Sinead Corbet; Christina Johnston; Emma Moffitt; Grahame Shaw; Terence J Quinn
Journal:  Stroke       Date:  2013-08-29       Impact factor: 7.914

10.  How to control confounding effects by statistical analysis.

Authors:  Mohamad Amin Pourhoseingholi; Ahmad Reza Baghestani; Mohsen Vahedi
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2012
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  1 in total

1.  Prevalence for delirium in stroke patients: A prospective controlled study.

Authors:  Peter Nydahl; Gabriele Bartoszek; Andreas Binder; Laura Paschen; Nils G Margraf; Karsten Witt; Andre Ewers
Journal:  Brain Behav       Date:  2017-06-23       Impact factor: 2.708

  1 in total

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