Evidence map›Paper›PMID 38073090›Full record

ArticleJournal of intensive care medicine2024

Impact of Preexisting Depression and Anxiety on Hospital Readmission and Long-Term Survival After Cardiac Arrest.

Patrick J Coppler, McKenzie Brown, Darcy M Moschenross, Priya R Gopalan, Alexander M Presciutti, Ankur A Doshi, Kelly N Sawyer, Adam Frisch, Clifton W Callaway, Jonathan Elmer and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of intensive care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
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  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

11 authors at 2 institutions in 1 country.

Patrick J CopplerDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0002-0731-7989
McKenzie BrownDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Darcy M MoschenrossDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Priya R GopalanDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Alexander M PresciuttiCenter for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-5911-6142
Ankur A DoshiDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Kelly N SawyerDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Adam FrischDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Clifton W CallawayDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jonathan ElmerDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
University of Pittsburgh Post-Cardiac Arrest Service
University of Pittsburgh · USHarvard University · US

Funding

Bridging the Science-to-Service Gap in Aging Care: Prevention, Optimization and Living Well with Persistent or Serious IllnessesT32AG081327 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie, Ana-Maria Vranceanu · 2023 to 2026
$1.6M
Recovering Together after Cardiac Arrest: A dyadic mind-body intervention for emotional distress in cardiac arrest survivors and their informal caregiversK23AT012487 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI Alex M. Presciutti · 2023 to 2026
$677k
NCCIH NIH HHS K23 AT012487NCCIH NIH HHS L30 AT012564NIA NIH HHS T32 AG081327
6 · The paper itself

Abstract

backgroundWhile sudden cardiac arrest (CA) survivors are at risk for developing psychiatric disorders, little is known about the impact of preexisting mental health conditions on long-term survival or postacute healthcare utilization. We examined the prevalence of preexisting psychiatric conditions in CA patients who survived hospital discharge, characterized incidence and reason for inpatient psychiatry consultation during these patients' acute hospitalizations, and determined the association of pre-CA depression and anxiety with hospital readmission rates and long-term survival. We hypothesized that prior depression or anxiety would be associated with higher hospital readmission rates and lower long-term survival.

methodsWe conducted a retrospective cohort study including patients resuscitated from in- and out-of-hospital CA who survived both admission and discharge from a single hospital between January 1, 2010, and December 31, 2017. We identified patients from our prospective registry, then performed a structured chart review to abstract past psychiatric history, prescription medications for psychiatric conditions, and identify inpatient psychiatric consultations. We used administrative data to identify readmissions within 1 year and vital status through December 31, 2020. We used multivariable Cox regressions controlling for patient demographics, medical comorbidities, discharge Cerebral Performance Category and disposition, depression, and anxiety history to predict long-term survival and hospital readmission.

resultsWe included 684 subjects. Past depression or anxiety was noted in 24% (

conclusionsDepression is an independent risk factor for hospital readmission in CA survivors.

Indexed as

AnxietyDepressionHeart ArrestPatient ReadmissionAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsSurvivorsanxietycardiac arrestdepressionpatient readmissionssurvival

Identifiers

PMID38073090
PMCPMC11090726
OpenAlexW4389569803

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.