Evidence map›Paper›PMID 38407370›Full record

ArticleEpilepsia2024

Hospital variation of outcomes in status epilepticus.

Samuel W Terman, Elan L Guterman, Chun C Lin, Michael P Thompson, James F Burke

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 1 country.

Samuel W TermanDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-6179-9467
Elan L GutermanDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-0817-3144
Chun C LinDepartment of Neurology, Ohio State University, Columbus, Ohio, USA.
Michael P ThompsonDepartment of Cardiac Surgery and Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, USA.
James F BurkeDepartment of Neurology, Ohio State University, Columbus, Ohio, USA.
The Ohio State University · USUniversity of Michigan · USUniversity of California, San Francisco · US

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
The Care Ecosystem Response to COVID-19: Accelerating Research on Dementia Care that Meets the Needs of Caregivers and Persons with Dementia during COVID-19R01AG074710 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL · 2022 to 2024
$9.1M
Prehospital Management of Status EpilepticusK23NS116128 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUTERMAN, ELAN · 2020 to 2024
$1.1M
NCATS NIH HHS UL1 TR002240NIA NIH HHS R01 AG074710NIH HHS 1K23NS116128-01NINDS NIH HHS K23 NS116128
6 · The paper itself

Abstract

objectiveUnderstanding factors driving variation in status epilepticus outcomes would be critical to improve care. We evaluated the degree to which patient and hospital characteristics explained hospital-to-hospital variability in intubation and postacute outcomes.

methodsThis was a retrospective cohort study of Medicare beneficiaries admitted with status epilepticus between 2009 and 2019. Outcomes included intubation, discharge to a facility, and 30- and 90-day readmissions and mortality. Multilevel models calculated percent variation in each outcome due to hospital-to-hospital differences.

resultsWe included 29 150 beneficiaries. The median age was 68 years (interquartile range [IQR] = 57-78), and 18 084 (62%) were eligible for Medicare due to disability. The median (IQR) percentages of each outcome across hospitals were: 30-day mortality 25% (0%-38%), any 30-day readmission 14% (0%-25%), 30-day status epilepticus readmission 0% (0%-3%), 30-day facility stay 40% (25%-53%), and intubation 46% (20%-61%). However, after accounting for many hospitals with small sample size, hospital-to-hospital differences accounted for 2%-6% of variation in all unadjusted outcomes, and approximately 1%-5% (maximally 8% for 30-day readmission for status epilepticus) after adjusting for patient, hospitalization, and/or hospital characteristics. Although many characteristics significantly predicted outcomes, the largest effect size was cardiac arrest predicting death (odds ratio = 10.1, 95% confidence interval = 8.8-11.7), whereas hospital characteristics (e.g., staffing, accreditation, volume, setting, services) all had lesser effects. SIGNIFICANCE: Hospital-to-hospital variation explained little variation in studied outcomes. Rather, certain patient characteristics (e.g., cardiac arrest) had greater effects. Interventions to improve outcomes after status epilepticus may be better focused on individual or prehospital factors, rather than at the inpatient systems level.

Indexed as

HospitalsPatient ReadmissionStatus EpilepticusAgedAged, 80 and overCohort StudiesFemaleHospitalizationHumansMaleMedicareMiddle AgedOutcome Assessment, Health CareRetrospective StudiesTreatment OutcomeUnited Statescohort studiesMedicareoutcomesstatus epilepticus

Identifiers

PMID38407370
PMCPMC11087197
OpenAlexW4392157424

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Registered trials

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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.