Evidence map›Paper›PMID 34464929›Full record

Observational studyJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2021

Do Elevated Levels of Inflammatory Biomarkers Predict the Risk of Occurrence of Ischemic Stroke in SARS-CoV2 ?: An Observational Study.

Nitisha Goyal, Ajoy K Sodani, Rahul Jain, Heera Ram

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

Observational study in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2021. 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
1.3field-weighted citation impact, top 17% 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, 13 citations in OpenAlex.

  1. New Directions in Infection-Associated Ischemic Stroke.Journal of clinical neurology (Seoul, Korea) · 2024
    Review
  2. Article
  3. Cerebrovascular Manifestations of SARS-CoV-2: A Comprehensive Review.Current treatment options in neurology · 2023
    Review
  4. Review
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

4 authors at 1 institution in 1 country.

Nitisha GoyalDepartment of Neurology, Sri Aurobindo Institute of Medical Sciences, Indore, Madhya Pradesh, India. Electronic address: nitishagoyal@gmail.com.
Ajoy K SodaniDepartment of Neurology, Sri Aurobindo Institute of Medical Sciences, Indore, Madhya Pradesh, India. Electronic address: ajoysodani@yahoo.com.
Rahul JainDepartment of Neurology, Sri Aurobindo Institute of Medical Sciences, Indore, Madhya Pradesh, India. Electronic address: drrahulneuro@gmail.com.
Heera RamDepartment of Radiology, Sri Aurobindo Institute of Medical Sciences, Indore, Madhya Pradesh, India. Electronic address: diamond151986@gmail.com.
Sri Aurobindo Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStroke, a dreaded complication of SARS-CoV2, has been reported in 0.9 to 5% of SARS-CoV2 patients. There are concerns that SARS-CoV2 infection has a significant independent association with acute ischemic stroke, even in the absence of conventional cerebrovascular risk factors. Whether elevated levels of inflammatory biomarkers have predictive value in the occurrence of stroke in SARS-CoV2 is poorly understood.

aimTo profile the characteristics of SARS-CoV2 positive patients with ischemic stroke (COVID-Stroke) and to identify the significance of elevated IBMs in the prediction of ischemic COVID-stroke. MATERIALS AND

methodsClinical characteristics, stroke risk factors, laboratory parameters- including levels of inflammatory biomarkers, and outcome of SARS-CoV2 patients with stroke (n=60) were collected. SARS-CoV2 RT- PCR positive age, gender, and pulmonary severity matched non-stroke patients were taken as controls (n = 60). Binary multivariate logistic regression analysis was used to find the predictors of ischemic COVID-stroke.

resultsD-dimer > 441.8 ng/mL, LDH> 395U/L, ESR >19 mm/h and CRP> 0.2 mg/dL were independently found to be very strong predictors of occurrence of ischemic COVID-stroke (p < 0.001 for each). On multivariate analysis, D-dimer > 441.8 ng/mL, ESR > 19 mm/h, and RDW > 16.1% were found to be the most strong predictors of the occurrence of ischemic COVID-stroke. Conventional CVD risk factors- higher age (> 60years), presence of diabetes mellitus, and hypertension were not found to be significant predictors in multivariate analysis.

conclusionIn SARS-CoV2 patients, D-dimer elevated beyond 441.8 ng/mL, ESR greater than 19 mm/h, and RDW widened more than 16.1% were the strongest predictors of the occurrence of ischemic stroke. This is the first study that attempts to find cut-off levels of IBMs in the prediction of ischemic COVID-stroke.

Indexed as

AgedBiomarkersBlood SedimentationCOVID-19Erythrocyte IndicesFemaleFibrin Fibrinogen Degradation ProductsHumansIncidenceInflammation MediatorsIschemic StrokeMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DInflammation MediatorsCovidCOVID-19Covid strokeIschemic strokeStroke

Identifiers

PMID34464929
PMCPMC8376664
OpenAlexW3195178025

What OpenQuestion holds

Textmetadata
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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.