无病毒性肝炎或肝硬化成人肝细胞癌风险评分。

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL JAMA Network Open Pub Date : 2024-11-04 DOI:10.1001/jamanetworkopen.2024.43608
Ysabel C Ilagan-Ying, Kirsha S Gordon, Janet P Tate, Joseph K Lim, Jessie Torgersen, Vincent Lo Re, Amy C Justice, Tamar H Taddei
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引用次数: 0

摘要

重要性:肝细胞癌(HCC)通常在晚期才被发现,此时治疗方案有限。目前大多数 HCC 风险模型都侧重于病毒性肝炎或确诊肝硬化患者,或需要临床护理中无法常规获得的变量:确定普通人群中可改变的 HCC 风险因素,并制定风险评分,为 HCC 筛查和针对无病毒性肝炎或肝硬化失代偿期的高危人群的风险因素改变干预措施提供依据:这项队列研究分析了美国退伍军人事务部(VA)电子健康记录中的人口统计学、临床、实验室和诊断数据。数据分为开发样本和验证样本。研究对象包括年龄在 30 至 95 岁之间的退伍军人,但不包括乙型或丙型肝炎病毒感染者、肝功能失代偿者或患有 HCC 的退伍军人。对患者进行随访,直至确诊 HCC、死亡或 2021 年 12 月 31 日。建立了一个 10 年 HCC 风险的 Cox 比例危险回归模型,用于创建 HCC 风险评分,并评估了开发样本、验证样本和患者亚组的性能。在 2007 年 10 月 1 日至 2020 年 3 月 31 日期间,随机抽取每人在进入退伍军人事务部至少 18 个月后的一个门诊就诊日期作为随访开始的指数日期。分析时间为 2023 年 3 月至 2024 年 5 月:年龄、性别、种族和民族、体重指数、肝纤维化(用纤维化-4指数[FIB-4]检测)、糖尿病状况、吸烟状况和饮酒情况:随访期间首次诊断出 HCC。这些信息来自退伍军人事务部国家癌症登记处的地形图和组织学代码,以及住院或门诊病人的《国际疾病分类》第九版和《国际疾病统计分类》第十版临床修订版诊断代码:这项对 6 509 288 名退伍军人进行的研究包括 6 048 917 名男性(92.9%),中位数(IQR)年龄为 65(54-74)岁,他们的种族和民族身份分别为西班牙裔(5.3%)、非西班牙裔黑人(15.0%)、非西班牙裔白人(68.9%)或其他(4.6%)。总体而言,15 142 名患者(0.2%)患上了 HCC,其中 69.5% 的患者基线时 FIB-4 为 3.25 或更低。虽然 FIB-4 是最重要的变量,但年龄、性别、种族和民族、体重指数、糖尿病、吸烟和酗酒也有一定的参考价值。开发样本的区分度优于单独的 FIB-4(C 统计量,0.83 [95% CI, 0.82-0.85] vs 0.79 [95% CI, 0.77-0.80])。在验证样本和所有亚组中,HCC 风险评分的表现始终良好。FIB-4阈值为3.25将筛查5.0%的人群,而每一个真阳性的代价是28个假阳性;模型风险评分为58将筛查4.7%的人群,而每一个真阳性的代价是23个假阳性:本研究结果表明,在识别基线时未患有病毒性肝炎或肝功能失代偿的 HCC 高危患者方面,使用常规临床数据的多变量风险评分优于单独使用 FIB-4。
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Risk Score for Hepatocellular Cancer in Adults Without Viral Hepatitis or Cirrhosis.

Importance: Hepatocellular carcinoma (HCC) is typically detected only at advanced stages when treatment options are limited. Most of the current HCC risk models focus on patients with viral hepatitis or diagnosed cirrhosis or require variables not routinely available in clinical care.

Objective: To identify modifiable HCC risk factors in the general population and to develop a risk score to inform HCC screening and risk-factor modification interventions for high-risk individuals without viral hepatitis or decompensated cirrhosis.

Design, setting, and participants: This cohort study analyzed demographic, clinical, laboratory, and diagnostic data from the US Department of Veterans Affairs (VA) electronic health records. Data were divided into development and validation samples. Veterans aged 30 to 95 years were included, and those with hepatitis B or C virus infection, hepatic decompensation, or prevalent HCC were excluded. Patients were followed up until the occurrence of HCC diagnosis, death, or December 31, 2021. A Cox proportional hazards regression model for 10-year risk of HCC was developed and used to create an HCC risk score, and performance in development and validation samples and in patient subgroups was evaluated. One outpatient visit date per person at least 18 months after VA entry, between October 1, 2007, and March 31, 2020, was randomly selected and used as the index date for the start of follow-up. Analyses were performed from March 2023 to May 2024.

Exposures: Age, sex, race and ethnicity, body mass index, liver fibrosis (detected with Fibrosis-4 Index [FIB-4]), diabetes status, smoking status, and alcohol use.

Main outcomes and measures: First HCC diagnosis during follow-up. This information was ascertained from VA national cancer registry topography and histology codes and from International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for the inpatient or outpatient visits.

Results: This study of 6 509 288 veterans included 6 048 917 males (92.9%), with a median (IQR) age of 65 (54-74) years, who identified as being of Hispanic (5.3%), non-Hispanic Black (15.0%), non-Hispanic White (68.9%), or other (4.6%) race and ethnicity. Overall, 15 142 patients (0.2%) developed HCC, 69.5% of whom had FIB-4 of 3.25 or lower at baseline. While FIB-4 was the most important variable, age, sex, race and ethnicity, body mass index, diabetes, smoking, and alcohol use were also informative. Discrimination in the development sample was better than FIB-4 alone (C statistic, 0.83 [95% CI, 0.82-0.85] vs 0.79 [95% CI, 0.77-0.80]). The HCC risk score performed consistently well in the validation sample and in all subgroups. A FIB-4 threshold of 3.25 would screen 5.0% of the cohort at a cost of 28 false-positives for every true-positive; a model risk score of 58 would screen 4.7% of the cohort at a cost of 23 false-positives for every true-positive.

Conclusions and relevance: Results of this study suggest that a multivariable risk score that uses routinely available clinical data outperforms FIB-4 alone in identifying patients at risk of HCC who do not have viral hepatitis or hepatic decompensation at baseline.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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