Digestive diseases and sciences · 2018
Identifying Nonalcoholic Fatty Liver Disease Advanced Fibrosis in the Veterans Health Administration.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Patel Yuval A, Gifford Elizabeth J, Glass Lisa M, Turner Marsha J, Han Byungjoo, Moylan Cynthia A, Choi Steve, Suzuki Ayako, Provenzale Dawn, Hunt Christine M
Аннотация
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. Severe NAFLD with advanced fibrosis results in substantial morbidity and mortality. Associated with metabolic syndrome, NAFLD is often initially clinically silent, yet intensive lifestyle intervention with 7% or greater weight loss can improve or resolve NAFLD. Using a Veterans Health Administration (VHA) liver biopsy cohort, we evaluated simple noninvasive fibrosis scoring systems to identify NAFLD with advanced fibrosis (or severe disease) to assist providers.
METHODS: In our retrospective study of a national VHA sample of patients with biopsy-proven NAFLD or normal liver (2005-2015), we segregated patients by fibrosis stage (0-4). Non-NAFLD liver disease was excluded. We evaluated the diagnostic accuracy of the NAFLD fibrosis score (NFS), fibrosis-4 calculator (FIB-4), aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT ratio), AST-to-platelet ratio index (APRI), and body mass index, AST/ALT ratio, and diabetes (BARD) score by age groups.
RESULTS: We included 329 patients with well-defined liver histology (296 NAFLD and 33 normal controls without fibrosis), in which 92 (28%) had advanced (stage 3-4) fibrosis. Across all age groups, NFS and FIB-4 best predicted advanced fibrosis (NFS with 0.676 threshold: AUROC 0.71-0.76, LR + 2.30-22.05, OR 6.00-39.58; FIB-4 with 2.67 threshold: AUROC of 0.62-0.80, LR + 4.70-27.45, OR 16.34-59.65).
CONCLUSIONS: While NFS and FIB-4 scores exhibit good diagnostic accuracy, FIB-4 is optimal in identifying NAFLD advanced fibrosis in the VHA. Easily implemented as a point-of-care clinical test, FIB-4 can be useful in directing patients that are most likely to have advanced fibrosis to GI/hepatology consultation and follow-up.
METHODS: In our retrospective study of a national VHA sample of patients with biopsy-proven NAFLD or normal liver (2005-2015), we segregated patients by fibrosis stage (0-4). Non-NAFLD liver disease was excluded. We evaluated the diagnostic accuracy of the NAFLD fibrosis score (NFS), fibrosis-4 calculator (FIB-4), aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT ratio), AST-to-platelet ratio index (APRI), and body mass index, AST/ALT ratio, and diabetes (BARD) score by age groups.
RESULTS: We included 329 patients with well-defined liver histology (296 NAFLD and 33 normal controls without fibrosis), in which 92 (28%) had advanced (stage 3-4) fibrosis. Across all age groups, NFS and FIB-4 best predicted advanced fibrosis (NFS with 0.676 threshold: AUROC 0.71-0.76, LR + 2.30-22.05, OR 6.00-39.58; FIB-4 with 2.67 threshold: AUROC of 0.62-0.80, LR + 4.70-27.45, OR 16.34-59.65).
CONCLUSIONS: While NFS and FIB-4 scores exhibit good diagnostic accuracy, FIB-4 is optimal in identifying NAFLD advanced fibrosis in the VHA. Easily implemented as a point-of-care clinical test, FIB-4 can be useful in directing patients that are most likely to have advanced fibrosis to GI/hepatology consultation and follow-up.
Предметные рубрики MeSH
AdolescentAdultAgedAlanine TransaminaseArea Under CurveAspartate AminotransferasesBiomarkersBiopsyBody Mass IndexClinical Enzyme TestsDatabases, FactualDecision Support TechniquesDiabetes MellitusFemaleHealth StatusHumansLiverLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePlatelet CountPoint-of-Care TestingPredictive Value of TestsPrevalencePrognosisROC CurveReproducibility of ResultsRetrospective StudiesRisk FactorsSeverity of Illness IndexUnited StatesUnited States Department of Veterans AffairsVeterans HealthYoung Adult