OBJECTIVE: Elevation of S100B has been shown after various neurologic diseases with cognitive dysfunction. The aim of this study was to compare the serum level of S100B of patients with and without delirium and investigate the possible associations with different subtypes of delirium. METHODS: Acutely admitted medical patients aged 65 years or more were included from 2005 through 2008. Delirium was diagnosed by Confusion Assessment Method, delirium subtype by Delirium Symptom Interview and preexistent global cognitive function by the 'Informant Questionnaire on Cognitive Decline-short form'. S100B levels were determined in serum by electrochemiluminescence immunoassay. RESULTS: Samples of 412 patients were included, 91 during delirium, 35 after delirium and 286 of patients without delirium. Patients with delirium (31%) were significantly older, 81.5 versus 76.6 years (p < 0.001) and experienced significantly more often preexistent cognitive and functional impairment (p < 0.001). S100B level differed significantly (p = 0.004) between the three groups: median 0.07 microg/L (inter-quartile ranges: 0.05-0.14 microg/L) during delirium, 0.12 microg/L (0.05-0.29 microg/L) after delirium and 0.06 microg/L (0.03-0.10 microg/L) in patients without delirium. Combining the impact of cognitive impairment, infection and age on S100B, highest S100B was observed in the oldest patients after delirium with preexistent cognitive impaired and infection. Delirium subtype and S100B level were not significantly correlated. CONCLUSION: Higher S100B levels were found in patients with delirium than in patients without delirium, with highest levels of S100B in samples taken after delirium. Future studies are needed to elucidate the mechanism responsible for the increase of S100B and the possible association with long term cognitive impairment.
OBJECTIVE: Elevation of S100B has been shown after various neurologic diseases with cognitive dysfunction. The aim of this study was to compare the serum level of S100B of patients with and without delirium and investigate the possible associations with different subtypes of delirium. METHODS: Acutely admitted medical patients aged 65 years or more were included from 2005 through 2008. Delirium was diagnosed by Confusion Assessment Method, delirium subtype by Delirium Symptom Interview and preexistent global cognitive function by the 'Informant Questionnaire on Cognitive Decline-short form'. S100B levels were determined in serum by electrochemiluminescence immunoassay. RESULTS: Samples of 412 patients were included, 91 during delirium, 35 after delirium and 286 of patients without delirium. Patients with delirium (31%) were significantly older, 81.5 versus 76.6 years (p < 0.001) and experienced significantly more often preexistent cognitive and functional impairment (p < 0.001). S100B level differed significantly (p = 0.004) between the three groups: median 0.07 microg/L (inter-quartile ranges: 0.05-0.14 microg/L) during delirium, 0.12 microg/L (0.05-0.29 microg/L) after delirium and 0.06 microg/L (0.03-0.10 microg/L) in patients without delirium. Combining the impact of cognitive impairment, infection and age on S100B, highest S100B was observed in the oldest patients after delirium with preexistent cognitive impaired and infection. Delirium subtype and S100B level were not significantly correlated. CONCLUSION: Higher S100B levels were found in patients with delirium than in patients without delirium, with highest levels of S100B in samples taken after delirium. Future studies are needed to elucidate the mechanism responsible for the increase of S100B and the possible association with long term cognitive impairment.
Authors: Tamara G Fong; Daniel Davis; Matthew E Growdon; Asha Albuquerque; Sharon K Inouye Journal: Lancet Neurol Date: 2015-06-29 Impact factor: 44.182
Authors: Tamara G Fong; Sarinnapha M Vasunilashorn; Towia Libermann; Edward R Marcantonio; Sharon K Inouye Journal: Int J Geriatr Psychiatry Date: 2019-03-15 Impact factor: 3.485
Authors: Chani Traube; Gabrielle Silver; Ron W Reeder; Hannah Doyle; Emily Hegel; Heather A Wolfe; Christopher Schneller; Melissa G Chung; Leslie A Dervan; Jane L DiGennaro; Sandra D W Buttram; Sapna R Kudchadkar; Kate Madden; Mary E Hartman; Mary L deAlmeida; Karen Walson; Erwin Ista; Manuel A Baarslag; Rosanne Salonia; John Beca; Debbie Long; Yu Kawai; Ira M Cheifetz; Javier Gelvez; Edward J Truemper; Rebecca L Smith; Megan E Peters; A M Iqbal O'Meara; Sarah Murphy; Abdulmohsen Bokhary; Bruce M Greenwald; Michael J Bell Journal: Crit Care Med Date: 2017-04 Impact factor: 7.598
Authors: Marcos G Lopez; Christopher G Hughes; Anthony DeMatteo; Jason B O'Neal; J Brennan McNeil; Matthew S Shotwell; Jennifer Morse; Michael R Petracek; Ashish S Shah; Nancy J Brown; Frederic T Billings Journal: Anesthesiology Date: 2020-03 Impact factor: 7.892
Authors: Christopher G Hughes; Mayur B Patel; Nathan E Brummel; Jennifer L Thompson; J Brennan McNeil; Pratik P Pandharipande; James C Jackson; Rameela Chandrasekhar; Lorraine B Ware; E Wesley Ely; Timothy D Girard Journal: Intensive Care Med Date: 2018-03-09 Impact factor: 17.440
Authors: Jessica R Adams Wilson; Alessandro Morandi; Timothy D Girard; Jennifer L Thompson; Chad S Boomershine; Ayumi K Shintani; E Wesley Ely; Pratik P Pandharipande Journal: Crit Care Med Date: 2012-03 Impact factor: 7.598
Authors: Christine Thomas; Stefan H Kreisel; Peter Oster; Martin Driessen; Volker Arolt; Sharon K Inouye Journal: J Am Geriatr Soc Date: 2012-08-06 Impact factor: 5.562