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The steatosis-associated fibrosis estimator (SAFE) score: A tool to detect low-risk NAFLD in primary care.
Sripongpun, Pimsiri; Kim, W Ray; Mannalithara, Ajitha; Charu, Vivek; Vidovszky, Anna; Asch, Steven; Desai, Manisha; Kim, Sun H; Kwong, Allison J.
Afiliação
  • Sripongpun P; Division of Gastroenterology and Hepatology , Department of Medicine , Stanford University , Redwood City , California , USA.
  • Kim WR; Gastroenterology and Hepatology Unit , Division of Internal Medicine , Prince of Songkla University , Hat Yai , Thailand.
  • Mannalithara A; Division of Gastroenterology and Hepatology , Department of Medicine , Stanford University , Redwood City , California , USA.
  • Charu V; Division of Gastroenterology and Hepatology , Department of Medicine , Stanford University , Redwood City , California , USA.
  • Vidovszky A; Department of Pathology , Stanford University , Redwood City , California , USA.
  • Asch S; Quantitative Sciences Unit , Department of Medicine , Stanford University , Redwood City , California , USA.
  • Desai M; Division of Gastroenterology and Hepatology , Department of Medicine , Stanford University , Redwood City , California , USA.
  • Kim SH; Division of Primary Care and Population Health , Department of Medicine , Stanford University , Redwood City , California , USA.
  • Kwong AJ; Quantitative Sciences Unit , Department of Medicine , Stanford University , Redwood City , California , USA.
Hepatology ; 77(1): 256-267, 2023 01 01.
Article em En | MEDLINE | ID: mdl-35477908
ABSTRACT

BACKGROUND:

NAFLD is common in primary care. Liver fibrosis stage 2 or higher (≥F2) increases future risk of morbidity and mortality. We developed and validated a score to aid in the initial assessment of liver fibrosis for NAFLD in primary care.

METHODS:

Data from patients with biopsy-proven NAFLD were extracted from the NASH Clinical Research Network observational study ( n = 676). Using logistic regression and machine-learning methods, we constructed prediction models to distinguish ≥F2 from F0/1. The models were tested in participants in a trial ("FLINT," n = 280) and local patients with NAFLD with magnetic resonance elastography data ( n = 130). The final model was applied to examinees in the National Health and Nutrition Examination Survey (NHANES) III ( n = 11,953) to correlate with long-term mortality.

RESULTS:

A multivariable logistic regression model was selected as the Steatosis-Associated Fibrosis Estimator (SAFE) score, which consists of age, body mass index, diabetes, platelets, aspartate and alanine aminotransferases, and globulins (total serum protein minus albumin). The model yielded areas under receiver operating characteristic curves ≥0.80 in distinguishing F0/1 from ≥F2 in testing data sets, consistently higher than those of Fibrosis-4 and NAFLD Fibrosis Scores. The negative predictive values in ruling out ≥F2 at SAFE of 0 were 88% and 92% in the two testing sets. In the NHANES III set, survival up to 25 years of subjects with SAFE < 0 was comparable to that of those without steatosis ( p = 0.34), whereas increasing SAFE scores correlated with shorter survival with an adjusted HR of 1.53 ( p < 0.01) for subjects with SAFE > 100.

CONCLUSION:

The SAFE score, which uses widely available variables to estimate liver fibrosis in patients diagnosed with NAFLD, may be used in primary care to recognize low-risk NAFLD.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Hepatology Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Hepatology Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos