Evidence map›Paper›PMID 38039805›Full record

ArticleSeizure2024

Older adults with epilepsy and COVID-19: Outcomes in a multi-hospital health system.

Claire Ufongene, Grace Van Hyfte, Parul Agarwal, Jonathan Goldstein, Brian Mathew, Allison Navis, Louise McCarthy, Churl-Su Kwon, Kapil Gururangan, Priti Balchandani and 9 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Seizure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 67% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

19 authors at 5 institutions in 2 countries.

Claire UfongeneIcahn School of Medicine at Mount Sinai (ISMMS), New York, NY, United States.
Grace Van HyfteDepartment of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States.
Parul AgarwalDepartment of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States.
Jonathan GoldsteinIcahn School of Medicine at Mount Sinai (ISMMS), New York, NY, United States.
Brian MathewDepartment of Neurology, ISMMS, New York, NY, United States.
Allison NavisDepartment of Neurology, ISMMS, New York, NY, United States.
Louise McCarthyDepartment of Neurology, ISMMS, New York, NY, United States.
Churl-Su KwonDepartment of Neurology, Epidemiology, Neurosurgery and the Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States.
Kapil GururanganDepartment of Neurology, ISMMS, New York, NY, United States.
Priti BalchandaniBioMedical Engineering and Imaging Institute, ISMMS, New York, NY, United States.
Lara MarcuseDepartment of Neurology, ISMMS, New York, NY, United States.
Georges NaasanDepartment of Neurology, ISMMS, New York, NY, United States.
Anuradha SinghDepartment of Neurology, ISMMS, New York, NY, United States.
James YoungDepartment of Neurology, ISMMS, New York, NY, United States.
Alexander CharneyDepartment of Psychiatry, ISMMS, New York, NY, United States.
Girish NadkarniDepartment of Medicine, ISMMS, New York, NY, United States.
Nathalie JetteDepartment of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.
Leah J BlankDepartment of Neurology, ISMMS, New York, NY, United States; Institute for HealthCare Delivery Science, Department of Population Health Science and Policy, ISMMS, New York, NY, United States. Electronic address: leah.blank@mssm.edu.
Sinai NeuroCOVID-19 Study Group
Icahn School of Medicine at Mount Sinai · USCenter for Migration Studies of New York · USColumbia University · USInsall Scott Kelly Institute · USUniversity of Calgary · CA

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
Residing in the Community with Dementia at the End of Life: Understanding Hospice Use and Residential SettingP30AG028741 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Claire Kathryn Ankuda · 2010 to 2026
$21.9M
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
Research Training for the Care of Vulnerable Older Adults with Alzheimer’s Disease and Related Dementias and Other Chronic ConditionsT32AG066598 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Alex D Federman · 2020 to 2026
$2.3M
Priming with High-Frequency Trans-spinal Stimulation to Augment Locomotor Training Benefits in Spinal Cord InjuryR01HD100544 · NICHD · COLLEGE OF STATEN ISLAND · PI HAREL, NOAM Y., KNIKOU, MARIA · 2020 to 2023
$2.2M
7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base TumorsR01CA202911 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2016 to 2020
$2.1M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
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
Training Future Leaders in Aging ResearchT35AG067578 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALDRIDGE, MELISSA DIANE, SORIANO, RAINIER P · 2020 to 2024
$616k
Identifying the Long-Term Neurological Effects of COVID-19 Using 7 Tesla Multi-Modal MRIR21NS122389 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2021 to 2021
$465k
NCI NIH HHS R01 CA202911NHLBI NIH HHS OT2 HL161847NIA NIH HHS P30 AG028741NIA NIH HHS T32 AG066598NIA NIH HHS T35 AG067578NICHD NIH HHS R01 HD100544NIH HHS S10 OD026880NIH HHS S10 OD030463NINDS NIH HHS R21 NS122389NINDS NIH HHS U24 NS107201NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is associated with high rates of mortality and morbidity in older adults, especially those with pre-existing conditions. There is little work investigating how neurological conditions affect older adults with COVID-19. We aimed to compare in-hospital outcomes, including mortality, in older adults with and without epilepsy.

methodsThis retrospective study in a large multicenter New York health system included consecutive older patients (age ≥65 years) either with or without epilepsy who were admitted with COVID-19 between 3/2020-5/2021. Epilepsy was identified using a validated International Classification of Disease (ICD) and antiseizure medicationbased case definition. Univariate comparisons were calculated using Chi-square, Fisher's exact, Mann-Whitney U, or Student's t-tests. Multivariable logistic regression models were generated to examine factors associated with mortality, discharge disposition and length of stay (LOS).

resultsWe identified 5384 older adults admitted with COVID-19 of whom 173 (3.21 %) had epilepsy. Mean age was significantly lower in those with (75.44, standard deviation (SD): 7.23) compared to those without epilepsy (77.98, SD: 8.68, p = 0.007). Older adults with epilepsy were more likely to be ventilated (35.84 % vs. 16.18 %, p < 0.001), less likely to be discharged home (21.39 % vs. 43.12 %, p < 0.001), had longer median LOS (13 days vs. 8 days, p < 0.001), and had higher in-hospital death (35.84 % vs. 28.29 %, p = 0.030) compared to those without epilepsy. Epilepsy in older adults was associated with increased odds of in-hospital death (adjusted odds ratio (aOR), 1.55; 95 % CI 1.12-2.14, p = 0.032), non-routine discharge disposition (aOR, 3.34; 95 % CI 2.21-5.03, p < 0.001), and longer LOS (46.46 % 95 % CI 34 %-59 %, p < 0.001).

conclusionsIn models that adjusted for multiple confounders including comorbidity and age, our study found that epilepsy was still associated with higher in-hospital mortality, longer LOS and worse discharge dispositions in older adults with COVID-19 higher in-hospital mortality, longer LOS and worse discharge dispositions in older adults with COVID-19. This work reinforces that epilepsy is a risk factor for worse outcomes in older adults admitted with COVID-19. Timely identification and treatment of COVID-19 in epilepsy may improve outcomes in older people with epilepsy.

Indexed as

COVID-19EpilepsyAgedHospitalizationHospital MortalityHospitalsHumansLength of StayRetrospective StudiesSARS-CoV-2ComorbidityHospitalizationMortalitySARS-CoV-2Seizure

Identifiers

PMID38039805
PMCPMC10841585
OpenAlexW4389011096

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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.