Evidence map›Paper›PMID 35604617›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Neurovascular and infectious disease phenotype of acute stroke patients with and without COVID-19.

Simone Beretta, Francesca Iannuzzi, Susanna Diamanti, Elisa Bianchi, Luca D'Urbano, Colella Elisa, Alban Rugova, Carlo Morotti Colleoni, Ettore Beghi, Paolo Bonfanti and 1 more

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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. 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
0.6field-weighted citation impact, top 31% 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, 5 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Simone BerettaDepartment of Neurology, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Via Pergolesi 33, 20900, Monza, Italy. simone.beretta@unimib.it.ORCID http://orcid.org/0000-0002-9417-2748
Francesca IannuzziDepartment of Infectious Diseases, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Monza, Italy.
Susanna DiamantiDepartment of Neurology, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Via Pergolesi 33, 20900, Monza, Italy.
Elisa BianchiDepartment of Neuroscience, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Luca D'UrbanoDepartment of Neurology, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Via Pergolesi 33, 20900, Monza, Italy.
Colella ElisaDepartment of Infectious Diseases, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Monza, Italy.
Alban RugovaDepartment of Infectious Diseases, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Monza, Italy.
Carlo Morotti ColleoniDepartment of Neurology, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Via Pergolesi 33, 20900, Monza, Italy.
Ettore BeghiDepartment of Neuroscience, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Paolo BonfantiDepartment of Infectious Diseases, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Monza, Italy.
Carlo FerrareseDepartment of Neurology, San Gerardo Hospital ASST Monza, University of Milano Bicocca, Via Pergolesi 33, 20900, Monza, Italy.
University of Milano-Bicocca · ITMario Negri Institute for Pharmacological Research · ITUniversity of Milan · IT

Funding

Regione Lombardia 30.03.2020)Regione Lombardia Bando per il finanziamento di progetti di ricerca in ambito sanitario connessi all'emergenza del COVID-19" (DGR N. XI/3017
6 · The paper itself

Abstract

backgroundThe infectious disease phenotype of acute stroke associated with COVID-19 has been poorly characterized.

objectiveWe investigated the neurovascular and infectious disease phenotype of stroke patients with and without COVID-19 infection, and their effect on in-hospital mortality.

methodsThis is a retrospective cohort study of consecutive patients with acute stroke, admitted to any ward of a hub hospital for stroke in Lombardy, Italy, during the first wave of COVID-19. Demographic, neurovascular, infectious disease, and respiratory characteristics were collected. The effect of clinical variables on survival was evaluated using logistic regression models.

resultsOne hundred thirty-seven patients with acute stroke were recruited; 30 (21.9%) patients had COVID-19 and represented 2.5% of the 1218 COVID-19 patients hospitalized in the study period. Demographics, comorbidities, stroke type, stroke severity, and etiology did not differ between COVID + stroke patients and non-COVID stroke patients, except for an excess of multi-embolic ischemic stroke in the COVID + group. Most COVID + stroke patients had symptomatic infection (60%) and interstitial pneumonia (70%). COVID + stroke patients required more frequently respiratory support (77% versus 29%; p < 0.0001) and had higher in-hospital mortality (40% versus 12%; p = 0.0005) than non-COVID stroke patients. Mortality was independently associated with symptomatic interstitial pneumonia (aOR 6.7; 95% CI 2.0-22.5; p = 0.002) and, to a lesser extent, with NIHSS on admission (aOR 1.1; 95% CI 1.03-1.2; p = 0.007) and recanalization therapies (aOR 0.2; 95% CI 0.04-0.98; p = 0.046).

conclusionSymptomatic interstitial pneumonia was the major driver of in-hospital mortality in COVID + stroke patients.

Indexed as

Communicable DiseasesCOVID-19Lung Diseases, InterstitialStrokeHospital MortalityHumansPhenotypeRetrospective StudiesSARS-CoV-2Acute strokeCOVID-19Infectious disease and strokeIn-hospital mortalityPneumonia

Identifiers

PMID35604617
PMCPMC9125531
OpenAlexW4281399432

What OpenQuestion holds

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LicenceCC BY
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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.