Literature DB >> 31483958

Identification of Patients With High Mortality Risk and Prediction of Outcomes in Delirium by Bispectral EEG.

Gen Shinozaki1,2,3,4,5, Nicholas L Bormann2, Aubrey C Chan2,6, Kasra Zarei2, Nicholas A Sparr2, Mason J Klisares2, Sydney S Jellison2, Jonathan T Heinzman2, Elijah B Dahlstrom2, Gabrielle N Duncan2, Lindsey N Gaul2, Robert J Wanzek2, Ellyn M Cramer2, Charlotte G Wimmel2, Sayeh Sabbagh2, Kumi Yuki2,7, Michelle T Weckmann2,7, Thoru Yamada8, Matthew D Karam9, Nicolas O Noiseux9, Eri Shinozaki6, Hyunkeun R Cho10, Sangil Lee11, John W Cromwell12.   

Abstract

BACKGROUND: Delirium is common and dangerous, yet underdetected and undertreated. Current screening questionnaires are subjective and ineffectively implemented in busy hospital workflows. Electroencephalography (EEG) can objectively detect the diffuse slowing characteristic of delirium, but it is not suitable for high-throughput screening due to size, cost, and the expertise required for lead placement and interpretation. This study hypothesized that an efficient and reliable point-of-care EEG device for high-throughput screening could be developed.
METHODS: This prospective study, which measured bispectral EEG (BSEEG) from elderly inpatients to assess their outcomes, was conducted at the University of Iowa Hospitals and Clinics from January 2016 to October 2017. A BSEEG score was defined based on the distribution of 2,938 EEG recordings from the 428 subjects who were assessed for delirium; primary outcomes measured were hospital length of stay, discharge disposition, and mortality.
RESULTS: A total of 274 patients had BSEEG score data available for analysis. Delirium and BSEEG score had a significant association (P < .001). Higher BSEEG scores were significantly correlated with length of stay (P < .001 unadjusted, P = .001 adjusted for age, sex, and Charlson Comorbidity Index [CCI] score) as well as with discharge not to home (P < .01). Hazard ratio for survival controlling for age, sex, CCI score, and delirium status was 1.35 (95% CI,1.04 to 1.76; P = .025).
CONCLUSIONS: In BSEEG, an efficient and reliable device that provides an objective measurement of delirium status was developed. The BSEEG score is significantly associated with pertinent clinical outcomes of mortality, hospital length of stay, and discharge disposition. The BSEEG score better predicts mortality than does clinical delirium status. This study identified a previously unrecognized subpopulation of patients without clinical features of delirium who are at increased mortality risk. © Copyright 2019 Physicians Postgraduate Press, Inc.

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Year:  2019        PMID: 31483958      PMCID: PMC7181374          DOI: 10.4088/JCP.19m12749

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  41 in total

1.  Evaluation of delirium in critically ill patients: validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).

Authors:  E W Ely; R Margolin; J Francis; L May; B Truman; R Dittus; T Speroff; S Gautam; G R Bernard; S K Inouye
Journal:  Crit Care Med       Date:  2001-07       Impact factor: 7.598

2.  Effectiveness of multicomponent nonpharmacological delirium interventions: a meta-analysis.

Authors:  Tammy T Hshieh; Jirong Yue; Esther Oh; Margaret Puelle; Sarah Dowal; Thomas Travison; Sharon K Inouye
Journal:  JAMA Intern Med       Date:  2015-04       Impact factor: 21.873

3.  The point-of-care EEG for delirium detection in the emergency department.

Authors:  Sangil Lee; Kumi Yuki; Aubrey Chan; John Cromwell; Gen Shinozaki
Journal:  Am J Emerg Med       Date:  2018-10-06       Impact factor: 2.469

Review 4.  Bispectral index as a guide for titration of propofol during procedural sedation among children.

Authors:  Karen S Powers; Emily B Nazarian; Sarah A Tapyrik; Susan M Kohli; Hsiang Yin; Elise W van der Jagt; John S Sullivan; Jeffrey S Rubenstein
Journal:  Pediatrics       Date:  2005-06       Impact factor: 7.124

5.  Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit.

Authors:  E Wesley Ely; Ayumi Shintani; Brenda Truman; Theodore Speroff; Sharon M Gordon; Frank E Harrell; Sharon K Inouye; Gordon R Bernard; Robert S Dittus
Journal:  JAMA       Date:  2004-04-14       Impact factor: 56.272

6.  The EEG as an independent indicator of mortality and healthcare utilization.

Authors:  Mark M Stecker
Journal:  Clin Neurophysiol       Date:  2009-08-20       Impact factor: 3.708

7.  Long-term cognitive impairment after critical illness.

Authors:  P P Pandharipande; T D Girard; J C Jackson; A Morandi; J L Thompson; B T Pun; N E Brummel; C G Hughes; E E Vasilevskis; A K Shintani; K G Moons; S K Geevarghese; A Canonico; R O Hopkins; G R Bernard; R S Dittus; E W Ely
Journal:  N Engl J Med       Date:  2013-10-03       Impact factor: 91.245

8.  Efficacy and safety of quetiapine in critically ill patients with delirium: a prospective, multicenter, randomized, double-blind, placebo-controlled pilot study.

Authors:  John W Devlin; Russel J Roberts; Jeffrey J Fong; Yoanna Skrobik; Richard R Riker; Nicholas S Hill; Tracey Robbins; Erik Garpestad
Journal:  Crit Care Med       Date:  2010-02       Impact factor: 7.598

9.  Delirium in older emergency department patients discharged home: effect on survival.

Authors:  Ritsuko Kakuma; Guillaume Galbaud du Fort; Louise Arsenault; Anne Perrault; Robert W Platt; Johanne Monette; Yola Moride; Christina Wolfson
Journal:  J Am Geriatr Soc       Date:  2003-04       Impact factor: 5.562

10.  Early Standard Electroencephalogram Abnormalities Predict Mortality in Septic Intensive Care Unit Patients.

Authors:  Eric Azabou; Eric Magalhaes; Antoine Braconnier; Lyria Yahiaoui; Guy Moneger; Nicholas Heming; Djillali Annane; Jean Mantz; Fabrice Chrétien; Marie-Christine Durand; Frédéric Lofaso; Raphael Porcher; Tarek Sharshar
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

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  6 in total

1.  Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

Authors:  Xinsong Du; Jae Min; Chintan P Shah; Rohit Bishnoi; William R Hogan; Dominick J Lemas
Journal:  Int J Med Inform       Date:  2020-04-15       Impact factor: 4.046

2.  Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).

Authors:  Meike van Sleuwen; Haoqi Sun; Christine Eckhardt; Anudeepthi Neelagiri; Ryan A Tesh; Mike Westmeijer; Luis Paixao; Subapriya Rajan; Parimala Velpula Krishnamurthy; Pooja Sikka; Michael J Leone; Ezhil Panneerselvam; Syed A Quadri; Oluwaseun Akeju; Eyal Y Kimchi; M Brandon Westover
Journal:  Crit Care Med       Date:  2022-01-01       Impact factor: 7.598

3.  Topological data analysis (TDA) enhances bispectral EEG (BSEEG) algorithm for detection of delirium.

Authors:  Takehiko Yamanashi; Mari Kajitani; Masaaki Iwata; Kaitlyn J Crutchley; Pedro Marra; Johnny R Malicoat; Jessica C Williams; Lydia R Leyden; Hailey Long; Duachee Lo; Cassidy J Schacher; Kazuaki Hiraoka; Tomoyuki Tsunoda; Ken Kobayashi; Yoshiaki Ikai; Koichi Kaneko; Yuhei Umeda; Yoshimasa Kadooka; Gen Shinozaki
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

4.  Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score.

Authors:  Takehiko Yamanashi; Pedro S Marra; Kaitlyn J Crutchley; Nadia E Wahba; Johnny R Malicoat; Eleanor J Sullivan; Cade C Akers; Catherine A Nicholson; Felipe M Herrmann; Matthew D Karam; Nicolas O Noiseux; Koichi Kaneko; Eri Shinozaki; Masaaki Iwata; Hyunkeun Ryan Cho; Sangil Lee; Gen Shinozaki
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.996

5.  The relationship between DNA methylation in neurotrophic genes and age as evidenced from three independent cohorts: differences by delirium status.

Authors:  Taku Saito; Patricia R Braun; Sophia Daniel; Sydney S Jellison; Mandy Hellman; Eri Shinozaki; Sangil Lee; Hyunkeun R Cho; Aihide Yoshino; Hiroyuki Toda; Gen Shinozaki
Journal:  Neurobiol Aging       Date:  2020-06-12       Impact factor: 5.133

Review 6.  Electroencephalography in delirium assessment: a scoping review.

Authors:  Tim L T Wiegand; Jan Rémi; Konstantinos Dimitriadis
Journal:  BMC Neurol       Date:  2022-03-11       Impact factor: 2.474

  6 in total

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