Park Lesley S, Tate Janet P, Rodriguez-Barradas Maria C, Rimland David, Goetz Matthew Bidwell, Gibert Cynthia, Brown Sheldon T, Kelley Michael J, Justice Amy C, Dubrow Robert
Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA ; Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, CT, USA.
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA ; Department of General Internal Medicine, Veterans Affairs Healthcare System, West Haven, CT, USA.
J AIDS Clin Res. 2014 Jul;5(7):1000318. doi: 10.4172/2155-6113.1000318.
Given the growing interest in the cancer burden in persons living with HIV/AIDS, we examined the validity of data sources for cancer diagnoses (cancer registry versus International Classification of Diseases, Ninth Revision [ICD-9 codes]) and compared the association between HIV status and cancer risk using each data source in the Veterans Aging Cohort Study (VACS), a prospective cohort of HIV-infected and uninfected veterans from 1996 to 2008.
We reviewed charts to confirm potential incident cancers at four VACS sites. In the entire cohort, we calculated cancer-type-specific age-, sex-, race/ethnicity-, and calendar-period-standardized incidence rates and incidence rate ratios (IRR) (HIV-infected versus uninfected). We calculated standardized incidence ratios (SIR) to compare VACS and Surveillance, Epidemiology, and End Results rates.
Compared to chart review, both Veterans Affairs Central Cancer Registry (VACCR) and ICD-9 diagnoses had approximately 90% sensitivity; however, VACCR had higher positive predictive value (96% versus 63%). There were 6,010 VACCR and 13,386 ICD-9 incident cancers among 116,072 veterans. Although ICD-9 rates tended to be double VACCR rates, most IRRs were in the same direction and of similar magnitude, regardless of data source. Using either source, all cancers combined, most viral-infection-related cancers, lung cancer, melanoma, and leukemia had significantly elevated IRRs. Using ICD-9, eight additional IRRs were significantly elevated, most likely due to false positive diagnoses. Most ICD-9 SIRs were significantly elevated and all were higher than the corresponding VACCR SIR.
ICD-9 may be used with caution for estimating IRRs, but should be avoided when estimating incidence or SIRs. Elevated cancer risk based on VACCR diagnoses among HIV-infected veterans was consistent with other studies.
鉴于人们对感染艾滋病毒/艾滋病者的癌症负担日益关注,我们在退伍军人老龄化队列研究(VACS)中,这是一个1996年至2008年期间对感染和未感染艾滋病毒的退伍军人进行的前瞻性队列研究,检验了癌症诊断数据源(癌症登记处与国际疾病分类第九版[ICD-9编码])的有效性,并比较了使用每种数据源时艾滋病毒状态与癌症风险之间的关联。
我们审查了图表以确认VACS四个站点的潜在新发癌症。在整个队列中,我们计算了特定癌症类型的年龄、性别、种族/族裔和日历期标准化发病率以及发病率比(IRR)(感染艾滋病毒者与未感染艾滋病毒者)。我们计算了标准化发病率比(SIR)以比较VACS与监测、流行病学和最终结果率。
与图表审查相比,退伍军人事务部中央癌症登记处(VACCR)和ICD-9诊断的敏感性均约为90%;然而,VACCR具有更高的阳性预测值(96%对63%)。在116,072名退伍军人中,有6,010例VACCR新发癌症和13,386例ICD-9新发癌症。尽管ICD-9发病率往往是VACCR发病率的两倍,但无论数据源如何,大多数IRR的方向相同且幅度相似。使用任何一种数据源,所有癌症合并计算,大多数与病毒感染相关的癌症、肺癌、黑色素瘤和白血病的IRR均显著升高。使用ICD-9时,另外八个IRR显著升高,很可能是由于假阳性诊断。大多数ICD-9 SIR显著升高,且均高于相应的VACCR SIR。
在估计IRR时可谨慎使用ICD-9,但在估计发病率或SIR时应避免使用。基于VACCR诊断的感染艾滋病毒退伍军人中升高的癌症风险与其他研究一致。