Evidence map›Paper›PMID 35227231›Full record

ArticleBMC psychiatry2022

COVID-19 severity and age increase the odds of delirium in hospitalized adults with confirmed SARS-CoV-2 infection: a cohort study.

Sara C LaHue, Danielle P Escueta, Elan L Guterman, Kanan Patel, Krista L Harrison, W John Boscardin, Vanja C Douglas, John C Newman

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors at 1 institution in 1 country.

Sara C LaHueDepartment of Neurology, School of Medicine, University of California, San Francisco, CA, USA. sara.lahue@ucsf.edu.
Danielle P EscuetaSchool of Medicine, University of California, San Francisco, CA, USA.
Elan L GutermanDepartment of Neurology, School of Medicine, University of California, San Francisco, CA, USA.
Kanan PatelDivision of Geriatrics, Department of Medicine, School of Medicine, University of California, San Francisco, CA, USA.
Krista L HarrisonDivision of Geriatrics, Department of Medicine, School of Medicine, University of California, San Francisco, CA, USA.
W John BoscardinDepartment of Epidemiology & Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
Vanja C DouglasDepartment of Neurology, School of Medicine, University of California, San Francisco, CA, USA.
John C NewmanDivision of Geriatrics, Department of Medicine, School of Medicine, University of California, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2013 to 2026
$19.9M
The Care Ecosystem: Navigating patients and caregivers through stages of dementia careR01AG056715 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL · 2017 to 2021
$6.0M
Mechanisms of the signaling metabolite β-hydroxybutyrate in Alzheimer's disease and the aging brainR01AG067333 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI John C Newman · 2020 to 2026
$4.8M
Geroscience metabolites beta-hydroxybutyrate and NAD+ linking inflammation and neuroenergetic failure in deliriumR01AG068025 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI NEWMAN, JOHN C · 2020 to 2024
$4.2M
Prehospital Management of Status EpilepticusK23NS116128 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUTERMAN, ELAN · 2020 to 2024
$1.1M
Palliative Care for People Living at Home with Advancing Dementia and Their CaregiversK01AG059831 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HARRISON, KRISTA LYN · 2019 to 2023
$720k
Larry L. Hillblom Foundation A137420NIA NIH HHS 5R01AG056715NIA NIH HHS K01 AG059831NIA NIH HHS P30 AG044281NIA NIH HHS R01 AG056715NIA NIH HHS R01 AG067333NIA NIH HHS R01 AG068025NINDS NIH HHS 1K23NS116128-01NINDS NIH HHS K23 NS116128
6 · The paper itself

Abstract

backgroundDespite recognition of the neurologic and psychiatric complications associated with SARS-CoV-2 infection, the relationship between coronavirus disease 19 (COVID-19) severity on hospital admission and delirium in hospitalized patients is poorly understood. This study sought to measure the association between COVID-19 severity and presence of delirium in both intensive care unit (ICU) and acute care patients by leveraging an existing hospital-wide systematic delirium screening protocol. The secondary analyses included measuring the association between age and presence of delirium, as well as the association between delirium and safety attendant use, restraint use, discharge home, and length of stay.

methodsIn this single center retrospective cohort study, we obtained electronic medical record (EMR) data using the institutional Epic Clarity database to identify all adults diagnosed with COVID-19 and hospitalized for at least 48-h from February 1-July 15, 2020. COVID-19 severity was classified into four groups. These EMR data include twice-daily delirium screenings of all patients using the Nursing Delirium Screening Scale (non-ICU) or CAM-ICU (ICU) per existing hospital-wide protocols.

resultsA total of 99 patients were diagnosed with COVID-19, of whom 44 patients required ICU care and 17 met criteria for severe disease within 24-h of admission. Forty-three patients (43%) met criteria for delirium at any point in their hospitalization. Of patients with delirium, 24 (56%) were 65 years old or younger. After adjustment, patients meeting criteria for the two highest COVID-19 severity groups within 24-h of admission had 7.2 times the odds of having delirium compared to those in the lowest category [adjusted odds ratio (aOR) 7.2; 95% confidence interval (CI) 1.9, 27.4; P = 0.003]. Patients > 65 years old had increased odds of delirium compared to those < 45 years old (aOR 8.7; 95% CI 2.2, 33.5; P = 0.003). Delirium was associated with increased odds of safety attendant use (aOR 4.5; 95% CI 1.0, 20.7; P = 0.050), decreased odds of discharge home (aOR 0.2; 95% CI 0.06, 0.6; P = 0.005), and increased length of stay (aOR 7.5; 95% CI 2.0, 13; P = 0.008).

conclusionsWhile delirium is common in hospitalized patients of all ages with COVID-19, it is especially common in those with severe disease on hospital admission and those who are older. Patients with COVID-19 and delirium, compared to COVID-19 without delirium, are more likely to require safety attendants during hospitalization, less likely to be discharged home, and have a longer length of stay. Individuals with COVID-19, including younger patients, represent an important population to target for delirium screening and management as delirium is associated with important differences in both clinical care and disposition.

Indexed as

COVID-19DeliriumAdultAgedCohort StudiesHospitalizationHumansIntensive Care UnitsMiddle AgedRetrospective StudiesSARS-CoV-2COVID-19DeliriumEncephalopathyHospital dischargeHospitalizationPatient outcomesRestraintsSafety attendants

Identifiers

PMID35227231
PMCPMC8883244
OpenAlexW4214731940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.