RESUMO
The Fibrosis-4 Index (FIB-4), developed to predict fibrosis in liver disease, was used to identify patients with coronavirus disease 2019 who will require ventilator support as well as those associated with 30-day mortality. Multivariate analysis found obesity (odds ratio [OR], 4.5), diabetes mellitus (OR, 2.55), and FIB-4 ≥2.67 (OR, 3.09) independently associated with need for mechanical ventilation. When controlling for ventilator use, sex, and comorbid conditions, FIB-4 ≥2.67 was also associated with increased 30-day mortality (OR, 8.4 [95% confidence interval, 2.23-31.7]). Although it may not be measuring hepatic fibrosis, its components suggest that increases in FIB-4 may be reflecting systemic inflammation associated with poor outcomes.
Assuntos
COVID-19/patologia , COVID-19/terapia , Respiração Artificial , Adulto , Idoso , COVID-19/mortalidade , Feminino , Hospitalização , Humanos , Hepatopatias/mortalidade , Hepatopatias/patologia , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Razão de Chances , Insuficiência Respiratória/patologia , Insuficiência Respiratória/terapia , Insuficiência Respiratória/virologia , Fatores de RiscoRESUMO
Simple tests of routine data are needed for those with severe acute respiratory syndrome coronavirus 2, which causes corona virus disease 2019 (COVID-19), to help identify those who may need mechanical ventilation (MV). In this study, we aimed to determine if fibrosis-4 (FIB-4) is associated with the need for MV in patients with COVID-19 and if there is an association to determine the optimal FIB-4 cutoff. This was a retrospective, national, multiethnic cohort study of adults seen in an ambulatory or emergency department setting who were diagnosed with COVID-19. We used the TriNetX platform for analysis. Measures included demographics, comorbid diseases, and routine laboratory tests. A total of 4,901 patients with COVID-19 were included. Patients had a mean age of 56, 48% were women, 42% were obese, 38% were white, 40% were black, 15% had cardiac disease, 39% had diabetes mellitus, 20% had liver disease, and 50% had respiratory disease. The need for MV was 6%. The optimal FIB-4 cutoff for the need for MV was 3.04 (area under the curve, 0.735), which had sensitivity, specificity, and positive and negative predictive values of 42%, 77%, 11%, and 95%, respectively, with 93% accuracy. When stratified by race, increased FIB-4 remained associated with the need for MV in both white and black patients. Conclusion: FIB-4 can be used by frontline providers to identify patients that may require MV.