Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease
Journal of Korean Medical Science
;
: 67-74, 2010.
Artigo
em Inglês
| WPRIM
| ID: wpr-64139
ABSTRACT
The purpose of this prospective study was to verify and compare the strengths of various blood markers and fibrosis models in predicting significant liver fibrosis. One hundred fifty-eight patients with chronic liver disease who underwent liver biopsy were enrolled. The mean age was 41 yr and male patients accounted for 70.2%. The common causes of liver disease were hepatitis B (67.7%) and C (16.5%) and fatty liver (9.5%). Stages of liver fibrosis (F0-4) were assessed according to the Batts and Ludwig scoring system. Significant fibrosis was defined as > or =F2. Sixteen blood markers were measured along with liver biopsy, and estimates of hepatic fibrosis were calculated using various predictive models. Predictive accuracy was evaluated with a receiver-operating characteristics (ROC) curve. Liver biopsy revealed significant fibrosis in 106 cases (67.1%). On multivariate analysis, alpha2-macroglobulin, hyaluronic acid, and haptoglobin were found to be independently related to significant hepatic fibrosis. A new predictive model was constructed based on these variables, and its area under the ROC curve was 0.91 (95% confidence interval, 0.85-0.96). In conclusion, alpha2-macroglobulin, hyaluronic acid, and haptoglobin levels are independent predictors for significant hepatic fibrosis in chronic liver disease.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Fibrose
/
Alfa-Macroglobulinas
/
Haptoglobinas
/
Biomarcadores
/
Doença Crônica
/
Valor Preditivo dos Testes
/
Estudos Prospectivos
/
Curva ROC
/
Hepatite C
/
Fígado Gorduroso
Tipo de estudo:
Estudo observacional
/
Estudo prognóstico
/
Fatores de risco
Limite:
Adulto
/
Feminino
/
Humanos
/
Masculino
Idioma:
Inglês
Revista:
Journal of Korean Medical Science
Ano de publicação:
2010
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS