Suppr超能文献

前瞻性研究一种病例发现算法,以在初级保健患者中检测有晚期纤维化的非酒精性脂肪性肝病。

Prospective study of a case-finding algorithm to detect NAFLD with advanced fibrosis in primary care patients.

机构信息

Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, California, USA.

Division of Hospital Medicine, Department of Medicine, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California, USA.

出版信息

Hepatol Commun. 2023 Feb 1;7(2):e0024. doi: 10.1097/HC9.0000000000000024.

Abstract

BACKGROUND AND AIMS

Primary care providers need strategies to identify NAFLD patients and select for specialty referral, but proposed algorithms have only been studied in established NAFLD patients.

METHODS

We implemented an algorithm for all adults with diabetes mellitus in a large primary care practice and excluded hepatitis B and C or alcohol use. Applying annual Fibrosis-4 Index and NAFLD Fibrosis Score for 5 years, we categorized patients as low-risk, indeterminate-risk, or high-risk for advanced fibrosis. We targeted all high-risk and messaged each primary care provider, recommending hepatology linkage. We collected final diagnosis and fibrosis (F0-4) outcomes. Using multivariable logistic regression, we assessed risk factors for advanced fibrosis stage (F3-4).

RESULTS

Of 3028 patients, 1018 were low-risk, 577 indeterminate-risk, and 611 high-risk. There were 264 target patients; their 89 primary care providers received a message per patient suggesting hepatology referral. The majority (n=149) were referred; at triage, 118 were deemed likely NAFLD. Of these, 90 completed visits, 78/90 were diagnosed as NAFLD, and 69/78 underwent fibrosis staging, with F3 to 4 in 25/69. In multivariable analysis, hemoglobin A1c ≥8% (OR=7.02, 95% CI: 1.29-38.18) and Fibrosis-4 Index (OR=1.79, 95% CI: 1.07-2.99) were associated with increased risk of F3 to 4.

CONCLUSIONS

This is the first prospective study testing a case-finding strategy in primary care and almost 1/3 of diabetes mellitus were high-risk for advanced fibrosis. When prompted, 73% of primary care providers placed referrals and 76% of patients completed visits, revealing 86% NAFLD and 36% F3 to 4. This study demonstrates the readiness for such a strategy in primary care; integrating hemoglobin A1c into this algorithm may further improve the performance of Fibrosis-4 Index in this setting.

摘要

背景和目的

初级保健提供者需要策略来识别 NAFLD 患者并选择专科转诊,但提出的算法仅在已确诊的 NAFLD 患者中进行了研究。

方法

我们在一家大型初级保健机构中为所有患有糖尿病的成年人实施了一种算法,并排除了乙型肝炎和丙型肝炎或酒精使用。应用年度 Fibrosis-4 指数和 NAFLD 纤维化评分 5 年,我们将患者分为低风险、不确定风险或高风险的晚期纤维化。我们针对所有高风险患者,并向每位初级保健提供者发送信息,建议进行肝病联系。我们收集了最终诊断和纤维化(F0-4)结果。使用多变量逻辑回归,我们评估了晚期纤维化阶段(F3-4)的危险因素。

结果

在 3028 名患者中,1018 名低风险,577 名不确定风险,611 名高风险。有 264 名目标患者;他们的 89 名初级保健提供者收到了每位患者的信息,建议进行肝病转诊。大多数患者(n=149)被转诊;在分诊时,118 例被认为可能患有 NAFLD。其中,90 例完成了就诊,90/78 例被诊断为 NAFLD,69/78 例进行了纤维化分期,69/78 例中有 25 例为 F3 至 4。多变量分析显示,血红蛋白 A1c≥8%(OR=7.02,95%CI:1.29-38.18)和 Fibrosis-4 指数(OR=1.79,95%CI:1.07-2.99)与 F3 至 4 的风险增加相关。

结论

这是第一项在初级保健中测试病例发现策略的前瞻性研究,超过 1/3 的糖尿病患者有晚期纤维化的高风险。当被提示时,73%的初级保健提供者进行了转诊,76%的患者完成了就诊,发现 86%的 NAFLD 和 36%的 F3 至 4。这项研究表明,初级保健已经为此类策略做好了准备;将血红蛋白 A1c 纳入该算法可能会进一步提高 Fibrosis-4 指数在该环境中的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f07/9894348/a5fbdf056153/hc9-7-e0024-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验