Evidence map›Paper›PMID 40569122›Full record

ArticleCritical care medicine2025

Delirium Severity Trajectories in Critically Ill Adults Using the Intensive Care Delirium Screening Checklist: A Population-Based Cohort.

Heidi Lindroth, Kirsten M Fiest, Chel Hee Lee, Kenny Adefila, Janelle Boram Lee, Sikandar Khan, Babar A Khan, Malaz A Boustani, Karla D Krewulak

Abstract read
In one paragraph

Article in Critical care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Heidi LindrothDepartment of Nursing, Division of Nursing Research, Mayo Clinic Nursing Research Division, Rochester, MN .
Kirsten M FiestDepartment of Community Health Sciences, O'Brien Institute for Public Health, Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Chel Hee LeeDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, AB, Canada.
Kenny AdefilaDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, AB, Canada.
Janelle Boram LeeDepartment of Community Health Sciences, O'Brien Institute for Public Health, Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Sikandar KhanCenter for Aging Research, Regenstrief Institute, Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN.
Babar A KhanCenter for Aging Research, Regenstrief Institute, Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN.
Malaz A BoustaniCenter for Aging Research, Regenstrief Institute, Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN.
Karla D KrewulakDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, AB, Canada.ORCID 0000-0003-0300-4122

Funding

Reactive Oxygen Species in Respiratory Failure, Delirium, and Post-ICU Cognitive ImpairmentK76AG074925 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Sikandar Hayat Khan · 2022 to 2026
$1.1M
Harnessing the Power of Technology to Transform Delirium Severity Measurement in the ICUK23AG076662 · NIA · MAYO CLINIC ROCHESTER · PI Heidi Lindroth · 2022 to 2026
$815k
NIA NIH HHS K23 AG076662NIA NIH HHS K76 AG074925
6 · The paper itself

Abstract

objectivesThe delirium course of critically ill adults can be classified into trajectories based on the severity and duration of delirium as shown by a recent study. It is unknown whether these trajectories and associated outcomes are reproducible. We aimed to define delirium severity trajectories using the Intensive Care Delirium Screening Checklist (ICDSC) and delirium duration and evaluate the association of trajectory membership with clinical characteristics and 30-day post-discharge mortality.

designPopulation-based retrospective cohort.

settingFourteen medical-surgical ICUs in Alberta, Canada from January 1, 2014, to December 21, 2019. PATIENTS: We included adult patients (≥ 18 yr old) with an ICU length of stay of greater than or equal to 24 hours, an ICDSC score indicating delirium (≥ 4), and 30-day follow-up data were included. Group-based trajectory modeling identified trajectories over a 7-day period with SAS v9.4 (SAS Institute, Cary, NC).

interventionsNone. MEASUREMENTS AND MAIN

resultsDemographic (age, sex) and clinical data (2 × d ICDSC score, comorbidities, illness severity, admission reason, procedures, length of stay, in-hospital, and 30-d post-discharge mortality) were captured from electronic medical records. In total, 21,071 patients were included, with a median age of 59 years (interquartile range, 46-70 yr), 59% male ( n = 12,547), and 3% died at 30 days ( n = 541). The five-trajectory model was selected. These trajectories followed previously defined patterns: 1) Mild-Brief (19.4%); 2); Severe-Rapid Recovers (18.5%); 3) Severe-Slow Recovers (31%); 4) Mild-Accelerating (14.1%); and 5) Severe-Nonrecovers (16.9%). Trajectory membership was not significantly associated with 30-day post-discharge mortality; however, clinically relevant trends were observed.

conclusionsThe current study substantiates the proof-of-concept model of five delirium severity trajectories. Trajectory membership did not predict 30-day post-discharge mortality. Further research is needed to understand the associations between trajectory membership, biological-based biomarkers, and patient-relevant outcomes.

Indexed as

ChecklistCritical IllnessDeliriumAdultAgedAlbertaCritical CareFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedRetrospective StudiesSeverity of Illness Indexdeliriumillness severityintensive care

Identifiers

PMID40569122
PMCPMC12998897

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.