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CLivD 评分与 FIB-4 联合用于预测人群的肝脏相关结局。

Combined use of the CLivD score and FIB-4 for prediction of liver-related outcomes in the population.

机构信息

Transplantation and Liver Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Minerva Foundation Institute for Medical Research, Helsinki, Finland.

出版信息

Hepatology. 2024 Jul 1;80(1):163-172. doi: 10.1097/HEP.0000000000000707. Epub 2023 Dec 19.

Abstract

BACKGROUND AND AIMS

A need exists for effective and practical tools to identify individuals at increased risk of liver-related outcomes (LROs) within the general population.

APPROACH AND RESULTS

We externally validated the chronic liver disease (CLivD) score for LROs in the UK Biobank cohort. We also investigated the sequential combined use of CLivD and fibrosis-4 (FIB-4) scores. Our analysis included 369,832 adults without baseline liver disease and with available data for CLivD and FIB-4 computation. LROs reflecting compensated or decompensated liver cirrhosis or HCC were ascertained through linkages with electronic health care registries. Discriminatory performance and cumulative incidence were evaluated with competing-risk methodologies. Over a 10-year follow-up, time-dependent AUC values for LRO prediction were 0.80 for CLivD lab (including gamma-glutamyltransferase), 0.72 for CLivD non-lab (excluding laboratory values), and 0.75 for FIB-4. CLivD lab demonstrated AUC values exceeding 0.85 for liver-related death and severe alcohol-associated liver outcomes. The predictive performance of FIB-4 increased with rising CLivD scores; 10-year FIB-4 AUC values ranged from 0.60 within the minimal-risk CLivD subgroup to 0.81 within the high-risk CLivD subgroup. Moreover, in the minimal-risk CLivD subgroup, the cumulative incidence of LRO varied from 0.05% to 0.3% across low-to-high FIB-4 strata. In contrast, within the high-risk CLivD subgroup, the corresponding incidence ranged from 1.7% to 21.1% (up to 33% in individuals with FIB-4 >3.25).

CONCLUSIONS

The CLivD score is a valid tool for LRO risk assessment and improves the predictive performance of FIB-4. The combined use of CLivD and FIB-4 identified a subgroup where 1 in 3 individuals developed LROs within 10 years.

摘要

背景和目的

在普通人群中,需要有效的实用工具来识别发生肝脏相关转归(LRO)风险增加的个体。

方法和结果

我们在英国生物库队列中对外验证了慢性肝病(CLivD)评分预测 LRO 的能力。我们还研究了 CLivD 和纤维化-4(FIB-4)评分的序贯联合使用。我们的分析包括 369832 名无基线肝病且可获得 CLivD 和 FIB-4 计算数据的成年人。通过与电子医疗记录的链接确定反映代偿性或失代偿性肝硬化或 HCC 的 LRO。使用竞争风险方法评估判别性能和累积发生率。在 10 年的随访中,CLivD 实验室(包括γ-谷氨酰转移酶)、CLivD 非实验室(不包括实验室值)和 FIB-4 预测 LRO 的时间依赖性 AUC 值分别为 0.80、0.72 和 0.75。CLivD 实验室预测肝相关死亡和严重酒精相关性肝结局的 AUC 值超过 0.85。FIB-4 的预测性能随 CLivD 评分的升高而增加;10 年 FIB-4 AUC 值在最小风险 CLivD 亚组中为 0.60,在高风险 CLivD 亚组中为 0.81。此外,在最小风险 CLivD 亚组中,LRO 的累积发生率在低至高 FIB-4 分层中从 0.05%到 0.3%不等。相比之下,在高风险 CLivD 亚组中,相应的发病率从 1.7%到 21.1%(在 FIB-4 >3.25 的个体中高达 33%)。

结论

CLivD 评分是 LRO 风险评估的有效工具,可提高 FIB-4 的预测性能。CLivD 和 FIB-4 的联合使用确定了一个亚组,其中每 3 个人中就有 1 个人在 10 年内发生 LRO。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa98/11191041/93342d9bf47b/hep-80-163-g001.jpg

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