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体重指数是非酒精性脂肪肝发病的最有用预测因素:一项基于社区的回顾性纵向队列研究。

Body mass index is the most useful predictive factor for the onset of nonalcoholic fatty liver disease: a community-based retrospective longitudinal cohort study.

机构信息

Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.

出版信息

J Gastroenterol. 2013 Mar;48(3):413-22. doi: 10.1007/s00535-012-0650-8. Epub 2012 Aug 31.

DOI:10.1007/s00535-012-0650-8
PMID:22933183
Abstract

BACKGROUND

Nonalcoholic fatty liver disease (NAFLD) can progress to advanced liver disease and non-liver-related diseases. To prevent NAFLD onset, clinicians must be able to easily identify high-risk NAFLD patients so that intervention can begin at an earlier stage. We sought to identify the predictive factors for NAFLD onset.

METHODS

In a community-based, longitudinal design, the records of 6,403 Japanese subjects were reviewed to identify those meeting the criteria for NAFLD onset. Univariate and multivariate logistic regression analyses were used to identify predictive factors for NAFLD onset. The accuracy of different models was evaluated according to their areas under the receiver operating characteristic curves. Comparative risk analysis was performed using the Kaplan-Meier method.

RESULTS

Multivariate analysis of 400 subjects who met the criteria for the onset of NAFLD during the observation period confirmed that body mass index (BMI) at baseline was the most useful predictive factor for NAFLD onset in both sexes. Cutoff levels of BMI for NAFLD onset were estimated at 23 kg/m2 for men and 22.2 kg/m2 for women. The cumulative onset rate of NAFLD was significantly higher in the high BMI group than in the low BMI group in both sexes (P < 0.001).

CONCLUSION

BMI was confirmed as the most useful predictive factor for NAFLD onset in both sexes; its cutoff levels were similar to those recommended by the World Health Organization for helping to prevent metabolic disease. An accurate BMI cutoff level will enable clinicians to identify subjects at risk for NAFLD onset.

摘要

背景

非酒精性脂肪性肝病(NAFLD)可进展为晚期肝病和非肝脏相关疾病。为了预防 NAFLD 的发生,临床医生必须能够轻松识别高危 NAFLD 患者,以便更早地开始干预。我们旨在确定 NAFLD 发病的预测因素。

方法

在一项基于社区的纵向设计中,回顾了 6403 名日本受试者的记录,以确定符合 NAFLD 发病标准的患者。使用单变量和多变量逻辑回归分析来确定 NAFLD 发病的预测因素。根据接受者操作特征曲线下的面积评估不同模型的准确性。使用 Kaplan-Meier 方法进行比较风险分析。

结果

对观察期间符合 NAFLD 发病标准的 400 名受试者进行多变量分析证实,基线时的体重指数(BMI)是男女发生 NAFLD 的最有用预测因素。男女发生 NAFLD 的 BMI 切点水平估计为 23 kg/m2 和 22.2 kg/m2。男女高 BMI 组的 NAFLD 累积发病率明显高于低 BMI 组(P<0.001)。

结论

BMI 被确认为男女发生 NAFLD 的最有用预测因素;其切点水平与世界卫生组织推荐的用于预防代谢性疾病的水平相似。准确的 BMI 切点水平将使临床医生能够识别发生 NAFLD 的高危人群。

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