About: Stroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Stroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Stroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic
Creator	Hwang, David Krumholz, Harlan Falcone, Guido Sheth, Kevin Wira, Charles Spudich, Serena Amin, Hardik Chojecka, Pola Hebert, Ryan Jasne, Adam Lleva, Paul Loomis, Caitlin Matouk, Charles Narula, Reshma Petersen, Nils Sansing, Lauren Schindler, Joseph Sharma, Richa Zeevi, Neer Askenase, Eldokmak, Qiang Mageid, Mohamed Maran, Razaz Navaratnam, Nystrom, Kelsey Vlieks, Michael Zhang, Karin
Source	Medline; PMC
abstract	BACKGROUND: Anecdotal reports suggest fewer patients with stroke symptoms are presenting to hospitals during the coronavirus disease 2019 (COVID-19) pandemic. We quantify trends in stroke code calls and treatments at 3 Connecticut hospitals during the local emergence of COVID-19 and examine patient characteristics and stroke process measures at a Comprehensive Stroke Center (CSC) before and during the pandemic. METHODS: Stroke code activity was analyzed from January 1 to April 28, 2020, and corresponding dates in 2019. Piecewise linear regression and spline models identified when stroke codes in 2020 began to decline and when they fell below 2019 levels. Patient-level data were analyzed in February versus March and April 2020 at the CSC to identify differences in patient characteristics during the pandemic. RESULTS: A total of 822 stroke codes were activated at 3 hospitals from January 1 to April 28, 2020. The number of stroke codes/wk decreased by 12.8/wk from February 18 to March 16 (P=0.0360) with nadir of 39.6% of expected stroke codes called from March 10 to 16 (30% decrease in total stroke codes during the pandemic weeks in 2020 versus 2019). There was no commensurate increase in within-network telestroke utilization. Compared with before the pandemic (n=167), pandemic-epoch stroke code patients at the CSC (n=211) were more likely to have histories of hypertension, dyslipidemia, coronary artery disease, and substance abuse; no or public health insurance; lower median household income; and to live in the CSC city (P<0.05). There was no difference in age, sex, race/ethnicity, stroke severity, time to presentation, door-to-needle/door-to-reperfusion times, or discharge modified Rankin Scale. CONCLUSIONS: Hospital presentation for stroke-like symptoms decreased during the COVID-19 pandemic, without differences in stroke severity or early outcomes. Individuals living outside of the CSC city were less likely to present for stroke codes at the CSC during the pandemic. Public health initiatives to increase awareness of presenting for non-COVID-19 medical emergencies such as stroke during the pandemic are critical.
has issue date	2020-08-19(xsd:dateTime)
bibo:doi	10.1161/str.0000000000000347
bibo:pmid	32755347
has license	no-cc
sha1sum (hex)	aec855d92db32b97950aaeae3dc0aeeabb16c3dd
schema:url	https://doi.org/10.1161/str.0000000000000347
resource representing a document's title	Stroke Code Presentations, Interventions, and Outcomes Before and During the COVID-19 Pandemic
has PubMed Central identifier	PMC7446978
has PubMed identifier	32755347
schema:publication	Stroke
resource representing a document's body	covid:aec855d92db32b97950aaeae3dc0aeeabb16c3dd#body_text
is schema:about of	named entity 'COVID-19 Pandemic' named entity 'New York' named entity 'stroke' named entity 'primary care' named entity 'clinical data' named entity 'significant difference' named entity 'public health' named entity 'medical conditions' named entity 'neurology' named entity 'Institutional Review Board' named entity 'stroke' named entity 'COVID-19' named entity 'stroke' named entity 'sample size' named entity 'COVID-19' named entity 'stroke-like symptoms' named entity 'stroke' named entity 'acute stroke' named entity 'vessel occlusion' named entity 'stroke' named entity 'New Haven' named entity 'emergency department' named entity 'stroke' named entity 'YNHH' named entity 'stroke' named entity 'stroke-like symptoms' named entity 'COVID-19' named entity 'YNHH' named entity 'intravenous' named entity 'Thrombolysis' named entity 'stroke' named entity 'ischemic stroke' named entity 'substance abuse' named entity 'National Institutes of Health Stroke Scale' named entity 'National Institutes of Health Stroke Scale' named entity 'stroke' named entity 'anticoagulation' named entity 'stroke' named entity 'stroke' named entity 'medical care' named entity 'telehealth' named entity 'stroke' named entity 'YNHH' named entity 'informed consent' named entity 'Lawrence and Memorial Hospital' named entity 'observational study' named entity 'statistical significance' named entity 'stroke' named entity 'stroke' named entity 'neurological' named entity 'linear regression' named entity 'zip code' named entity 'COVID-19 pandemic' named entity 'Connecticut' named entity 'COVID-19'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software