Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add filters








Language
Year range
1.
Arch. endocrinol. metab. (Online) ; 61(3): 276-281, May-June 2017. tab, graf
Article in English | LILACS | ID: biblio-887561

ABSTRACT

ABSTRACT Objective The objective of this study is to evaluate the performance of mathematical models used in non-invasive diagnosis of liver fibrosis in nonalcoholic fatty liver disease (NAFLD) patients to determine when the patient needs to be referred to a hepatologist. Subjects and methods Patients referred by endocrinologists to the liver outpatient departments in two hospitals in Curitiba, Brazil, over a 72-month period were analyzed. The results calculated using the APRI, FIB 4, FORNS and NAFLD Fibrosis Score non-invasive liver fibrosis assessment models were analyzed and compared with histological staging of this population. Results Sixty-seven patients with NAFLD were analyzed. Forty-two of them (62.68%) were female, mean age was 54.76 (±9.63) years, mean body mass index 31.42 (±5.64) and 59 (88.05%) of the 67 cases had glucose intolerance or diabetes. A diagnosis of steatohepatitis was made in 45 (76.27%) of the 59 biopsied patients, and advanced liver fibrosis (stages 3 and 4) was diagnosed in 18 (26.86%) of the 67 patients in the study population. The FIB 4 and NAFLD Fibrosis Score models had a high negative predictive value (93.48% and 93.61%, respectively) in patients with severe liver fibrosis (stages 3 and 4). Conclusion In conclusion, use of the FIB 4 and NAFLD Fibrosis Score models in NAFLD patients allows a diagnosis of severe liver disease to be excluded.


Subject(s)
Humans , Male , Female , Middle Aged , Referral and Consultation , Non-alcoholic Fatty Liver Disease/pathology , Endocrinologists , Gastroenterologists , Liver Cirrhosis/pathology , Aspartate Aminotransferases/blood , Reference Standards , Biopsy , Severity of Illness Index , Reproducibility of Results , Sensitivity and Specificity , Disease Progression , Alanine Transaminase/blood , Liver/pathology , Models, Theoretical
SELECTION OF CITATIONS
SEARCH DETAIL