Evidence map›Paper›PMID 40784551›Full record

ArticleJournal of the Academy of Consultation-Liaison Psychiatry

Emergency Department Presentations for Catatonia: A 2019-2021 National Emergency Department Sample Study.

James Luccarelli, Mark Kalinich, Jonathan P Rogers, Abigail L Donovan, Felicia A Smith, Scott R Beach, Joshua R Smith

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the Academy of Consultation-Liaison Psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07315386 (Catatonic Syndrome in Adult Patients at Basurto Hospital), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT07315386 recruitingnot on this map

Catatonic Syndrome in Adult Patients at Basurto Hospital: A Descriptive Study of Incidence, Comorbidity, and Short-Term Outcomes

TypeobservationalSponsorBeatriz Rodriguez CaboRan2024 to 2030Enrolled40ConditionsCatatonia
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

James LuccarelliDepartment of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA. Electronic address: jluccarelli@mgb.org.
Mark KalinichDepartment of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA.
Jonathan P RogersDivision of Psychiatry, University College London, London, UK; Department of Neuropsychiatry, National Hospital for Neurology and Neurosurgery, London, UK.
Abigail L DonovanDepartment of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA.
Felicia A SmithDepartment of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA.
Scott R BeachDepartment of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA.
Joshua R SmithDivision of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center at Village of Vanderbilt, Nashville, TN; Vanderbilt Kennedy Center, Vanderbilt University, Nashville, TN.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Translational Neuroscience Training for CliniciansT32MH112485 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BUCKNER, RANDY L, ROFFMAN, JOSHUA LAWRENCE · 2018 to 2022
$1.7M
NICHD NIH HHS P50 HD103537NIMH NIH HHS T32 MH112485Wellcome Trust
6 · The paper itself

Abstract

backgroundCatatonia is a neuropsychiatric disorder characterized by motor, affective, cognitive, and behavioral disturbances. Despite its association with significant healthcare costs, morbidity, and preventable mortality, catatonia remains underdiagnosed, particularly in emergency department (ED) settings. Limited data exist on the demographics, diagnostic patterns, and outcomes of catatonia in the ED. This study aims to characterize the epidemiology and healthcare utilization of ED visits associated with catatonia using the National Emergency Department Sample.

methodsWe analyzed the National Emergency Department Sample for ED visits with a discharge diagnosis of catatonia between 2019 and 2021, with visits weighted to provide national estimates.

resultsAn estimated 51,671 visits (0.013% of all ED presentations) included a diagnosis of catatonia. ED presentations with a diagnosis of catatonia had a bimodal age distribution, with peaks for patients aged 20-29 and 55-64 years, although there were presentations for patients as young as 2 and as old as 90+. Catatonia was disproportionately diagnosed in Black patients (27.6%). Psychiatric conditions including schizophrenia spectrum disorders, depressive disorders, and bipolar disorder, were the most common primary diagnoses (55.5%). Catatonia-related ED visits had an 82.6% hospital admission rate. Physical restraints were documented in 5.6% of ED presentations involving catatonia.

conclusionsCatatonia is rarely diagnosed in the ED setting but is identified in patients of all ages and results in a strikingly high rate of hospital admission, similar to those of well recognized life-threatening medical conditions. The high utilization of inpatient resources underscores the need for improved recognition and management of catatonia in the ED.

Indexed as

CatatoniaEmergency Service, HospitalPatient Acceptance of Health CareAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansMaleMiddle AgedUnited StatesYoung Adultcatatoniacohort studiesdemographyemergency psychiatry

Identifiers

PMID40784551
PMCPMC12372172

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Registered trials

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.