Literature DB >> 35962270

Fibrosis‑4 (FIB‑4) index and mortality in COVID‑19 patients admitted to the emergency department: a new interesting predictive index for patients with COVID-19 disease?

Paolo Ruggeri1, Antonio Esquinas2.   

Abstract

Entities:  

Year:  2022        PMID: 35962270      PMCID: PMC9374285          DOI: 10.1007/s11739-022-03067-w

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   5.472


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Dear Editor, We read with great interest the article by Bucci et al., which investigated the Fibrosis-4 (FIB-4) Index and mortality in COVID‑19 patients admitted to the emergency department [1]. We want to congratulate to authors about this originally. However, we consider that there are some key aspects that need to take into account for proper clinical extrapolation. First, during COVID-19 pandemic, prediction factors are needed to help front-line providers to identify who might be at higher risk of mortality for respiratory failure needing intensive care admission and ventilator support. Several complex models have been developed to predict these outcomes using clinical data and markers of increased systemic inflammation associated with infection [2]. Recent studies show that the FIB-4 Index, initially developed to predict advanced fibrosis in those with liver disease, may be affected by other systemic diseases, such as COVID-19 through non-hepatic mechanisms, including systemic inflammation and/or bone marrow suppression [3]. Before this study, Sterling et al. demonstrated that FIB-4 is associated with the need for mechanical ventilation and 30-day mortality in patients admitted with COVID-19 [3]. Li et al. demonstrated that FIB-4 is associated with mortality in COVID-19, independent of underlying conditions including liver diseases [4]. In these aspects, we consider that following these published studies the single factor componing FIB-4 score was not predictive of mortality or need for ICU admission, so it is very important to understand how the composite index work so well. Second, age is a very important factor, because it is in the numerator of the FIB-4 formula and the authors reported a statistically significant difference (p < 0.001) in the age in the group of patients with a FIB-4 > 3.25 for the group with a FIB-4 < 3.25 with a mean age of 76 (70–81) and 57 (51–64), respectively [1]. The missing link is to understand how lung commission in terms of inflamed lung tissue, COVID-related ARDS and extension of lung involvement can be correlated with this index. Also, time to respiratory failure development is another important missing key factor that is interesting to know. Finally, FIB-4 is an index developed to predict liver fibrosis so it is very interesting to study if this index can predict long-COVID and in particular lung fibrosis development [5]. Further clinical trials need to confirm these observations about the power of FIB-4 as an index and mortality.
  5 in total

Review 1.  Predictors of COVID-19 severity: A literature review.

Authors:  Benjamin Gallo Marin; Ghazal Aghagoli; Katya Lavine; Lanbo Yang; Emily J Siff; Silvia S Chiang; Thais P Salazar-Mather; Luba Dumenco; Michael C Savaria; Su N Aung; Timothy Flanigan; Ian C Michelow
Journal:  Rev Med Virol       Date:  2020-07-30       Impact factor: 6.989

2.  Fibrosis-4 (FIB-4) Index and mortality in COVID-19 patients admitted to the emergency department.

Authors:  Tommaso Bucci; Gioacchino Galardo; Orietta Gandini; Tommasa Vicario; Carla Paganelli; Sara Cerretti; Chiara Bucci; Francesco Pugliese; Daniele Pastori
Journal:  Intern Emerg Med       Date:  2022-05-27       Impact factor: 5.472

Review 3.  Pulmonary Fibrosis in COVID-19 Survivors: Predictive Factors and Risk Reduction Strategies.

Authors:  Ademola S Ojo; Simon A Balogun; Oyeronke T Williams; Olusegun S Ojo
Journal:  Pulm Med       Date:  2020-08-10

4.  The Fibrosis-4 Index Is Associated With Need for Mechanical Ventilation and 30-Day Mortality in Patients Admitted With Coronavirus Disease 2019.

Authors:  Richard K Sterling; Tavis Oakes; Tamas S Gal; Michael P Stevens; Marjolein deWit; Arun J Sanyal
Journal:  J Infect Dis       Date:  2020-11-09       Impact factor: 5.226

  5 in total

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