Evidence map›Paper›PMID 36008590›Full record

Observational studyActa neurologica Belgica2023

Clinical characteristics of 365 hospitalized COVID-19 patients with neurological symptoms: an observational study.

Fahimeh Vahabizad, Mansoureh Togha, Shadi Ariyanfar, Mohammad-Reza Fattahi, Samaneh Haghighi, Zahra Ebadi, Sanaz Ahmadi Karvigh, Sara Heidari, Maryam Shafaei, Hale Ashraf and 4 more

Erratum issuedOpen access · bronzeAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Acta neurologica Belgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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 84% 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

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Fahimeh VahabizadDepartment of Neurology, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mansoureh ToghaHeadache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Imam Street, Tehran, Iran. toghae@sina.tums.ac.ir.ORCID http://orcid.org/0000-0002-3879-8033
Shadi AriyanfarHeadache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Imam Street, Tehran, Iran.
Mohammad-Reza FattahiHeadache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Imam Street, Tehran, Iran.
Samaneh HaghighiHeadache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Imam Street, Tehran, Iran.
Zahra EbadiHeadache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Imam Street, Tehran, Iran.
Sanaz Ahmadi KarvighDepartment of Neurology, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Sara HeidariHeadache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Imam Street, Tehran, Iran.
Maryam ShafaeiHeadache Department, Neurology Ward, Sina University Hospital, School of Medicine, Tehran University of Medical Sciences, Imam Street, Tehran, Iran.
Hale AshrafResearch Development Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Azar HaddadiDepartment of Infectious Disease, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad TalebpourDepartment of Surgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Arash SafaeiDepartment of Emergency Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hoda AsefiDepartment of Radiology, Tehran University of Medical Sciences, Tehran, Iran.
Sina Hospital · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSince the beginning of the COVID-19 pandemic, a number of COVID-related neurological manifestations have been reported. We aimed to categorize the features of hospitalized COVID-19 patients who experienced neurological symptoms.

methodsIn this descriptive, cross-sectional study, we enrolled all patients hospitalized with COVID-19 who experienced neurological symptoms in two hospitals in Tehran. Diagnosis of COVID-19 was established by PCR tests or computed tomography of the chest combined with COVID-19 clinical findings. The clinical characteristics, laboratory data, and imaging findings from 365 patients were analyzed.

resultsThe average patient age was 59.2 ± 16.7 years and included 213 males and 152 females. The most prevalent neurological symptoms were headache (56.2%), impaired consciousness (55%), and dizziness (20.5%). During hospitalization, most of the patients did not require mechanical ventilation (81.9%). The percentage of patients with end-organ damage was 9% and mortality was 15%. Regression analysis on the neurological symptoms indicated that the mortality rate of patients with headaches was 84% lower than for the other neurological symptoms. Hyperglycemia was significantly related with end-organ damage and mortality (p = 0.029, p = 0.08, respectively). New vascular lesions were evident on brain MRIs of 9 patients and brain CTs of 16 patients.

conclusionAmong the neurological symptoms of patients with COVID-19, headache appeared to indicate a protective factor against development of end-organ damage as well as mortality.

Indexed as

COVID-19AdultAgedCross-Sectional StudiesFemaleHeadacheHumansIranMaleMiddle AgedPandemicsSARS-CoV-2COVID-19End-organ damageHeadacheMortalityNeurological manifestationsUnconsciousness

Identifiers

PMID36008590
PMCPMC9409615
OpenAlexW4293253532

What OpenQuestion holds

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Registered trials

None linked

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.