metricas
covid
Buscar en
Annals of Hepatology
Toda la web
Inicio Annals of Hepatology Hepatic injury biomarkers in COVID-19
Información de la revista
Vol. 29. Núm. S2.
Abstracts Asociación Mexicana del Hígado (AMH) 2023
(febrero 2024)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Vol. 29. Núm. S2.
Abstracts Asociación Mexicana del Hígado (AMH) 2023
(febrero 2024)
Acceso a texto completo
Hepatic injury biomarkers in COVID-19
Visitas
221
Diana K. Tapia-Calderón1, Ana I. Tornel-Avelar1, Francisco A. Félix-Téllez1, Lydia A. Mercado-Jáuregui1, Liliana E. Ramos-Villalobos1, Bladimir Diaz-Villavicencio2, Monserrat Lazcano-Becerra1, Rodrigo Escobedo-Sánchez3, Edgar S. García-Jiménez1, José A. Velarde-Ruiz Velasco1
1 Gastroenterology, Hospital Civil de Guadalajara “Fray Antonio Alcalde”, Guadalajara, Jalisco
2 Internal Medicine. Hospital Civil de Guadalajara “Dr. Juan I. Menchaca”, Guadalajara, Jalisco
3 Infectology. Hospital Civil de Guadalajara “Fray Antonio Alcalde”, Guadalajara, Jalisco
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Descargar PDF
Estadísticas
Figuras (1)
Tablas (1)
Suplemento especial
Este artículo forma parte de:
Vol. 29. Núm S2

Abstracts Asociación Mexicana del Hígado (AMH) 2023

Más datos
Introduction and Objectives

: C-reactive protein (CRP) and D-dimer have been shown to be predictors of severity in patients with COVID-19. The FIB-4 and APRI scoring systems are tools calculated using routine laboratory parameters that allow non-invasive evaluation of liver fibrosis. Some studies have demonstrated that the parameters comprising these scores predict mortality in COVID-19. The objective of this study was to determine the role of various liver injury biomarkers in stratifying the severity of hospitalized patients with COVID-19.

Materials and Patients

Analytical and retrospective study. Patients with COVID-19 were included, while those with liver disease were excluded. A receiver operating characteristic (ROC) analysis with 95% confidence intervals (CI) was performed to determine the predictive performance of FIB-4, APRI, D-dimer, and CRP in terms of the need for invasive mechanical ventilation (IMV) and mortality.

Results

A total of 448 hospitalized patients with COVID-19 were included in the study. 68.2% were male, with a mean age of 56.27 ± 14.7 years. 35.1% had systemic arterial hypertension, 29.2% had diabetes mellitus, 6% had cancer, 5% had chronic obstructive pulmonary disease, and 3.3% had chronic kidney disease. 21.4% required nasal cannula support, 29.4% required mask with reservoir, 35.5% required high-flow oxygen therapy, and 13.1% required IMV. 48% had severe disease, and 28.1% died. ROC analysis with 95% CI revealed that the best predictor of the need for IMV was the FIB-4 index, with an AUC of 0.637 (95% CI 0.545 - 0.732, p= 0.003), followed by APRI with an AUC of 0.596 (95% CI 0.504-0.687, p=0.04). The best predictor of mortality was FIB-4 with an AUC of 0.689 (95% CI 0.620 - 0.785, p= <0.001), followed by D-dimer with an AUC of 0.608 (95% CI 0.528 - 0.688, p= 0.041).

Conclusions

The application of the FIB-4 index with a cutoff point of ≥1.9 predicts IMV and mortality in SARS-CoV-2 infection and is superior to the standard severity biomarkers (CRP and D-dimer).

Texto completo

Ethical statement

The protocol was registered and approved by the Ethics Committee. The identity of the patients is protected. Consentment was obtained.

Declaration of interests

None

Funding

None

Figure 1: ROC curves.

Table 1 Mortality and invasive mechanical ventilation markers in SARS-CoV-2: Analysis of ROC curves

Mortality             
Marker  AUC  CI 95%  Cut-off point  Sensitivity  Specificity  P value 
FIB-4  0.689  0.620-0.785  1.905  0.610  0.384  <0.001 
APRI  0.569  0.493-0.645  0.605  0.429  0.308  0.066 
CPR  0.572  0.493-0.651  184.50  0.494  0.312  0.055 
D Dímer  0.608  0.528-0.688  747.50  0.455  0.236  0.041 
Invasive mechanical ventilation             
FIB-4  0.637  0.545-0.732  2.225  0.545  0.324  0.003 
APRI  0.596  0.504-0.687  0.505  0.545  0.412  0.41 
CPR  0.541  0.439-0.644  168.70  0.455  0.399  0.52 
D Dímer  0.631  0.536-0.726  488.50  0.568  0.378  0.005 

Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos