Evidence map›Paper›PMID 31792965›Full record

ArticleEpilepsia2020

Readmission after neurosurgical intervention in epilepsy: A nationwide cohort analysis.

Churl-Su Kwon, Parul Agarwal, Varsha Subramaniam, Mandip Dhamoon, Madhu Mazumdar, Anusha Yeshokumar, Fedor Panov, Saadi Ghatan, Nathalie Jetté

Abstract read
In one paragraph

Article in Epilepsia, 2020. 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.

Churl-Su KwonDepartment of Neurology, Icahn school of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-9904-2240
Parul AgarwalInstitute for Healthcare Delivery Service, Department of Population Health Science and Policy, Medicine, and Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Varsha SubramaniamDepartment of Neurology, Icahn school of Medicine at Mount Sinai, New York, NY, USA.
Mandip DhamoonDepartment of Neurology, Icahn school of Medicine at Mount Sinai, New York, NY, USA.
Madhu MazumdarInstitute for Healthcare Delivery Service, Department of Population Health Science and Policy, Medicine, and Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Anusha YeshokumarDepartment of Neurology, Icahn school of Medicine at Mount Sinai, New York, NY, USA.
Fedor PanovDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Saadi GhatanDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nathalie JettéDepartment of Neurology, Icahn school of Medicine at Mount Sinai, New York, NY, USA.

Funding

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Public Engagement CoreU54NS100064 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2017 to 2021
$21.7M
Mount Sinai Network of Excellence in Neuroscience Clinical TrialsU24NS107201 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JETTE, NATHALIE, MILLER, AARON · 2018 to 2022
$1.7M
NINDS NIH HHS U24 NS107201NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

objectiveHospital readmissions result in increased health care costs and are associated with worse outcomes after neurosurgical intervention. Understanding factors associated with readmissions will inform future studies aimed at improving quality of care in those with epilepsy.

methodsPatients of all ages with epilepsy who underwent a neurosurgical intervention were identified in the 2014 Nationwide Readmissions Database, a nationally representative dataset containing data from roughly 17 million US hospital discharges. Diagnosis of epilepsy was based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)-based case definitions. Neurosurgical interventions for epilepsy: resective/disconnective surgery, responsive neurostimulation/deep brain stimulation, vagus nerve stimulation, radiosurgery, and intracranial electroencephalography were identified using ICD-9-CM procedure codes. Primary outcome was all-cause 30-day readmission following discharge from the index hospitalization.

resultsThere were a total of 2284 index surgical admissions. Overall, 10.83% (n = 251) of patients following an index epilepsy surgery admission were readmitted within 30 days. Factors independently associated with 30-day readmission for all epilepsy surgery admissions were: Medicare insurance (P < .01), discharge disposition that was not home (P < .01), higher Elixhauser comorbidity indexes (P < .01), longer length of stay (P < .01), and adverse events of surgical and medical care during index stay (P = .04). In the multivariate model, Medicare insurance (hazard ratio [HR] 1.81 [1.29-2.53], P < .01) and length of stay (HR 1.02 [1.01-1.04], P < .01) remained significant independent predictors for 30-day readmission. The most common primary reason for readmissions was epilepsy/convulsions accounting for 22.85%. SIGNIFICANCE: Our results suggest that careful management of postoperative seizures and discharge planning after epilepsy surgery may be important to optimize outcomes and reduce the risk of readmission, particularly for patients on Medicare.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCohort StudiesEpilepsyFemaleHumansInfantInfant, NewbornMaleMiddle AgedNeurosurgical ProceduresPatient Readmissionepilepsynational readmission databasepopulation-basedsurgery

Identifiers

PMID31792965
PMCPMC7227389

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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.