Evidence map›Paper›PMID 40062496›Full record

ArticleArchives of Iranian medicine2025

FIB-4 Index Can Predict Mortality in Hospitalized Patients with COVID-19 Infection, Independent of CT Severity Score.

Faeze Salahshour, Sahar Karimpour Reyhan, Kazem Zendedel, Kiana Seifouri, Monireh Sadat Seyyedsalehi, Parnian Naghavi, Mahsa Abbaszadeh, Alireza Esteghamati, Manouchehr Nakhjavani, Soghra Rabizadeh

Abstract read
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Article in Archives of Iranian medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Faeze SalahshourDepartment of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-0342-0006
Sahar Karimpour ReyhanEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2669-6942
Kazem ZendedelCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Kiana SeifouriEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Monireh Sadat SeyyedsalehiCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Parnian NaghaviDepartment of Information Engineering, University of Padua, Padua, Italy.
Mahsa AbbaszadehEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Alireza EsteghamatiEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Manouchehr NakhjavaniEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Soghra RabizadehEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-3752-302X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe fibrosis 4 (FIB-4) index is typically used in assessing liver fibrosis, and has shown potential in predicting the outcome in various diseases. This study aims to evaluate the predictive power of the FIB-4 index for mortality in COVID-19 patients admitted to a reference hospital in Tehran, Iran.

methodsIn this prospective cohort study, 387 patients with COVID-19 without diabetes, were categorized into deceased and surviving groups. We compared anthropometric and demographic data, liver function tests, CT scores, and FIB-4 indices between the groups. Multivariate logistic regression assessed the independent association of FIB-4 with mortality.

resultsAmong the 387 patients, (all non-diabetics), 58 (15%) died, with a higher mortality rate observed in patients with a FIB-4 index≥2.6 (63.4%) compared to those with FIB-4<2.6 (29.7%). Deceased patients were considerably older and more likely to be hypertensive (

conclusionThe FIB-4 index, calculable by routine laboratory tests, may be a valuable prognostic factor for COVID-19 mortality. This easily obtainable marker could help identify high-risk patients early, potentially allowing for more rapid intervention and treatment prioritization.

Indexed as

COVID-19Liver CirrhosisAdultAgedFemaleHospitalizationHospital MortalityHumansIranLiver Function TestsLogistic ModelsMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesCOVID-19FIB-4 indexInfectious diseaseMortality rate

Identifiers

PMID40062496
PMCPMC11892101

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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.