Suppr超能文献

Estimating the date of hepatitis C virus infection from patient interviews and antibody tests on stored sera.

作者信息

Bruden Dana L, McMahon Brian J, Hennessy Thomas W, Christensen Carol J, Homan Chriss E, Williams James L, Sullivan Daniel G, Gretch David R, Cagle Henry H, Bulkow Lisa R

机构信息

Arctic Investigations Program, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Anchorage, Alaska 99508, USA.

出版信息

Am J Gastroenterol. 2004 Aug;99(8):1517-22. doi: 10.1111/j.1572-0241.2004.30826.x.

Abstract

OBJECTIVES

Studies on the natural history and outcome of chronic hepatitis C virus (HCV) infection differ regarding the proportion of persons who develop serious sequelae over time. Most of these studies use an estimated date of HCV infection based on risk factor data obtained from patient interviews. The date of HCV infection is often estimated using the year of a pre-1992 blood transfusion (BT), or the first year of injecting drug use (IDU). We sought to determine the accuracy of these dates obtained by interview.

METHODS

We compared BT dates reported by patients in a long-term HCV outcome study to dates confirmed in a BT-Lookback project, and also compared the reported first year of IDU to seroconversion dates estimated from HCV tests on historical sera.

RESULTS

Of 28 BT recipients who were interviewed in the HCV outcome study and identified in the Lookback project, 14 (50%; 95% CI: 31-69%) were unaware they had received a BT. Of 25 persons identified in the BT-Lookback project with historical sera available, 9 (36%; 95% CI: 19-57%) had anti-HCV results that did not correlate with their confirmed BT date. Of 216 persons with a history of IDU and historical serum samples available, 66 (31%; 95% CI: 25-37%) had anti-HCV results that did not correlate with their reported first year of IDU.

CONCLUSIONS

Inaccuracies in the length of HCV could occur in outcome studies that rely on patient recall of risk-factor history. Statistical methods that incorporate the uncertainty in assigning infection date are needed.

摘要

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