Evidence map›Paper›PMID 35402993›Full record

ArticleArchives of academic emergency medicine2022

Clinical, Laboratory and Imaging Characteristics of Hospitalized COVID-19 Patients with Neurologic Involvement; a Cross-Sectional Study.

Ali Zare Dehnavi, Mohammadreza Salehi, Mehran Arab Ahmadi, Mohammad Hossein Asgardoon, Farzad Ashrafi, Nasrin Ahmadinejad, Atefeh Behkar, Ramin Hamidi Farahani, Hassan Hashemi, Abbas Tafakhori and 3 more

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In one paragraph

Article in Archives of academic emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 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

13 authors at 3 institutions in 1 country.

Ali Zare DehnaviDepartment of Neurology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Mohammadreza SalehiInfectious Diseases and Tropical Medicines Department, Tehran University of Medical Sciences, Tehran, Iran.
Mehran Arab AhmadiAdvanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein AsgardoonSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Farzad AshrafiFunctional Neurosurgery Research Center, Shohadaye Tajrish Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nasrin AhmadinejadAdvanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Atefeh BehkarSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Ramin Hamidi FarahaniDepartment of Infectious Disease, AJA University of Medical Sciences, Tehran, Iran.
Hassan HashemiAdvanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Abbas TafakhoriDepartment of Neurology, School of Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Hamze ShahaliDepartment of Aerospace and Sub Aquatic Medicine, AJA University of Medical Sciences, Tehran, Iran.
Mohammad RahmaniDepartment of Neurology, School of Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Alireza Ranjbar NaeiniDepartment of Neurology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRAja University of Medical Sciences · IRImam Khomeini Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although neurologic involvement and neuroimaging abnormalities have been frequently identified in COVID-19 patients, the underlying factors remain unclear. In this study, we assessed the association of the neurological manifestations and neuroimaging features of hospitalized COVID-19 patients with their clinical, laboratory, and imaging characteristics. Methods: This multicenter cross-sectional study was conducted between September 2020 and March 2021 at two large academic hospitals in Tehran, Iran. We used census sampling from medical records to enroll hospitalized patients with a positive COVID-19 Polymerase chain reaction (PCR) test who underwent brain imaging due to presenting any acute neurologic symptom during hospital stay. Results: Of the 4372 hospitalized patients with COVID-19, only 211 met the inclusion criteria (35.5% with severe infection). Central nervous system and psychiatric manifestations were significantly more common in severe cases (p ≤ 0.044). Approximately, 30% had a new abnormality on their neuroimaging, with ischemic (38/63) and hemorrhagic (16/63) insults being the most common. The most frequent reasons that provoked cranial imaging were headache (27%), altered consciousness (25.6%), focal neurologic signs (19.9%), and delirium (18%). Analysis revealed a positive correlation for age, neutrophilia, lymphopenia, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) with the emergence of neuroimaging abnormalities (p ≤ 0.018). In addition, patients with new neuroimaging abnormalities had a significantly higher lung CT score than those without any pathologic findings (11.1 ± 4.8 vs. 5.9 ± 4.8, p < 0.001). Conclusion: Approximately 30% of the study population had various acute neuroimaging findings. The lung CT score, neutrophil count, and age were strong predictors of acute neuroimaging abnormalities in hospitalized COVID-19 patients.

Indexed as

COVID-19Magnetic Resonance ImagingNeuroimagingNeurologic ManifestationsNeurologyRisk FactorsTomographyX-ray computed

Identifiers

PMID35402993
PMCPMC8986495
OpenAlexW4225592346

What OpenQuestion holds

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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.