Fatty liver index is a strong predictor of changes in glycemic status in people with prediabetes: The IT-DIAB study
收藏Figshare2019-08-29 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Fatty_liver_index_is_a_strong_predictor_of_changes_in_glycemic_status_in_people_with_prediabetes_The_IT-DIAB_study/9748607
下载链接
链接失效反馈官方服务:
资源简介:
Background & aimsIn patients at metabolic risk, nonalcoholic fatty liver disease is a strong and highly prevalent predictor for type 2 diabetes. Its assessment in clinical practice is not easy but the fatty liver index (FLI) could be used as a surrogate. Here, we studied the association between the FLI and the conversion to new-onset diabetes (NOD) or prediabetes reversion in patients with prediabetes.MethodsThe IT-DIAB observational study included 389 individuals with prediabetes, defined as fasting plasma glucose (FPG) between 110 and 125 mg/dL. NOD conversion was defined as a first FPG value ≥ 126 mg/dL and prediabetes reversion as a first FPG value ResultsAfter a median follow-up of 3.9 years (range 0.1–6.1), 138 individuals (35.5%) converted to NOD. FLI was associated with a higher risk of NOD conversion (unadjusted HR per SD = 1.54, 95%CI 1.27–1.86, p1c and diabetes risk score (adjusted HR per SD 1.31, 95%CI 1.07–1.61, p = 0.008). FLI was also associated with prediabetes reversion: adjusted HR per SD = 0.85, 95%CI 0.75–0.96, p = 0.0077. Changes in FLI were significantly associated with changes in FPG during follow-up (p1C and FLI, only HbA1C added a significant prediction information (AUROC: 72.8% for full model vs 69.4% for the model without HbA1C; p = 0.028), while the removal of FLI to the full model did not alter its predictive value (AUROC 72.2%). The predictive value for NOD conversion was not significantly better for HOMA-IR compared to FLI (AUROC: 69.3 vs 63.7%, p = 0.067).ConclusionsFLI is a simple, practical score to further stratify the risk of conversion to NOD or the possibility of prediabetes reversion in clinical practice, independently of classical glucose parameters.Trial registrationClincialTrials.gov number NCT01218061 and NCT01432509.
创建时间:
2019-08-29



