Literature DB >> 32905636

New Cutoff Scores for Delirium Screening Tools to Predict Patient Mortality.

Takehiko Yamanashi1,2, Masaaki Iwata2, Kaitlyn J Crutchley1, Eleanor J Sullivan1, Johnny R Malicoat1, Zoe-Ella M Anderson1, Pedro S Marra1, Gloria Chang1, Koichi Kaneko2, Eri Shinozaki3, Sangil Lee4, Gen Shinozaki1,5,6,7,8.   

Abstract

BACKGROUND/
OBJECTIVES: Detecting delirium is important to identify patients with a high risk of poor outcomes. Although many different kinds of screening instruments for delirium exist, there is no solid consensus about which methods are the most effective. In addition, it is important to find the most useful tools in predicting outcomes such as mortality.
DESIGN: Retrospective cohort study.
SETTING: University of Iowa Hospitals and Clinics. PARTICIPANTS: A total of 1,125 adult inpatients (mean age = 67.7; median age = 69). MEASUREMENTS: Post hoc analyses were performed based on existing data from the Confusion Assessment Method for Intensive Care Unit (CAM-ICU), Delirium Rating Scale-Revised-98 (DRS), and the Delirium Observation Screening Scale (DOSS). Correlation among these scales and relationships between 365-day mortality and each scale were evaluated.
RESULTS: A positive result on the CAM-ICU ("CAM-ICU positive") was associated with higher DRS and DOSS scores. A DRS score = 9/10 was the best cutoff to detect CAM-ICU positive, and DOSS = 2/3 was the best cutoff to detect CAM-ICU positive. CAM-ICU positive was associated with high 365-day mortality. DRS score = 9/10 and DOSS score = 0/1 were found to differentiate mortality risk the most significantly. Higher DRS and DOSS scores significantly coincided with a decrease in a patient's survival rate at 365 days.
CONCLUSION: The best DRS and DOSS cutoff scores to differentiate 365-day mortality risk were lower than those commonly used to detect delirium in the literature. New cutoff scores for the DRS and DOSS might be useful in differentiating risk of mortality among hospital patients.
© 2020 The American Geriatrics Society.

Entities:  

Keywords:  CAM-ICU; DOSS; DRS-R-98; delirium; mortality

Year:  2020        PMID: 32905636     DOI: 10.1111/jgs.16815

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  2 in total

1.  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

2.  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

  2 in total

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