Kamaria L. Lee, Varada Sarovar, Jennifer O. Lam, Wendy A. Leyden, Stacey E. Alexeeff, Alexandra N. Lea, Rulin C. Hechter, Haihong Hu, Julia L. Marcus, Qing Yuan, Jennifer R. Kramer, Lilie L. Lin, Elizabeth Y. Chiao, William J. Towner, Michael A. Horberg, Michael J. Silverberg
{"title":"同时诊断为 HIV 和癌症的患者死亡率过高:回顾性队列研究","authors":"Kamaria L. Lee, Varada Sarovar, Jennifer O. Lam, Wendy A. Leyden, Stacey E. Alexeeff, Alexandra N. Lea, Rulin C. Hechter, Haihong Hu, Julia L. Marcus, Qing Yuan, Jennifer R. Kramer, Lilie L. Lin, Elizabeth Y. Chiao, William J. Towner, Michael A. Horberg, Michael J. Silverberg","doi":"10.1158/1055-9965.epi-24-0478","DOIUrl":null,"url":null,"abstract":"Background: With extended lifespans for people with human immunodeficiency virus (PWH), there is a corresponding increased burden of chronic illnesses, including cancer. Our objective was to estimate the excess mortality for PWH with cancer compared with people without HIV (PWoH), accounting for the higher background mortality in the general PWH population. Methods: We identified 39,000 PWH and 387,767 demographically-matched PWoH in three integrated healthcare systems from 2000-2016. We estimated excess mortality for PWH with cancer, computed as the cancer mortality rate difference-in-difference comparing PWH and PWoH. We evaluated five cancer groups: any cancer; virus-, human papillomavirus-, and Epstein-Barr virus (EBV)-related cancers; virus-unrelated cancers, and common individual cancers. We fitted a multivariable additive Poisson model to estimate excess mortality for PWH with cancer. Results: PWH with any cancer had excess mortality compared with PWoH (41.3/1000 person-years [py], 95% Confidence Interval [CI] 34.0, 48.7). The highest excess mortality was observed for EBV-related cancers (63.2/1000 py, 95% CI 47.8, 78.7), lung cancer (147.7/1000 py, 95% CI 41.1, 254.3) and non-Hodgkin lymphoma (70.5/1000 py, 95% CI 51.4, 89.6). Excess mortality for PWH was attenuated 2009-2016, and PWH with cancer had no excess mortality 5 years after diagnosis. Conclusions: PWH in care may have excess mortality from certain cancer types, although disparities may have attenuated over time and do not persist beyond 5 years after diagnosis. Impact: Findings may guide improved clinical practice, and suggest further research is needed to investigate whether cancer treatment or other factors contribute to mortality disparities for PWH with cancer.","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":"5 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Excess Mortality in Persons with Concurrent HIV and Cancer Diagnoses: A Retrospective Cohort Study\",\"authors\":\"Kamaria L. Lee, Varada Sarovar, Jennifer O. Lam, Wendy A. Leyden, Stacey E. Alexeeff, Alexandra N. Lea, Rulin C. Hechter, Haihong Hu, Julia L. Marcus, Qing Yuan, Jennifer R. 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We fitted a multivariable additive Poisson model to estimate excess mortality for PWH with cancer. Results: PWH with any cancer had excess mortality compared with PWoH (41.3/1000 person-years [py], 95% Confidence Interval [CI] 34.0, 48.7). The highest excess mortality was observed for EBV-related cancers (63.2/1000 py, 95% CI 47.8, 78.7), lung cancer (147.7/1000 py, 95% CI 41.1, 254.3) and non-Hodgkin lymphoma (70.5/1000 py, 95% CI 51.4, 89.6). Excess mortality for PWH was attenuated 2009-2016, and PWH with cancer had no excess mortality 5 years after diagnosis. Conclusions: PWH in care may have excess mortality from certain cancer types, although disparities may have attenuated over time and do not persist beyond 5 years after diagnosis. Impact: Findings may guide improved clinical practice, and suggest further research is needed to investigate whether cancer treatment or other factors contribute to mortality disparities for PWH with cancer.\",\"PeriodicalId\":9458,\"journal\":{\"name\":\"Cancer Epidemiology Biomarkers & Prevention\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Epidemiology Biomarkers & Prevention\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1158/1055-9965.epi-24-0478\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology Biomarkers & Prevention","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1055-9965.epi-24-0478","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:随着人类免疫缺陷病毒感染者(PWH)寿命的延长,包括癌症在内的慢性病负担也相应增加。我们的目标是估算与未感染艾滋病病毒的人群(PWoH)相比,感染癌症的 PWH 的超额死亡率,同时考虑到一般 PWH 群体中较高的背景死亡率。方法:2000-2016 年间,我们在三个综合医疗系统中识别了 39,000 名艾滋病感染者和 387,767 名人口匹配的艾滋病患者。我们估算了罹患癌症的威利人的超额死亡率,计算方法是威利人与威利人之间的癌症死亡率差异。我们评估了五类癌症:任何癌症;与病毒、人乳头瘤病毒和 Epstein-Barr 病毒 (EBV) 相关的癌症;与病毒无关的癌症以及常见的个体癌症。我们建立了一个多变量加性泊松模型来估算罹患癌症的威尔士人的超额死亡率。结果显示罹患任何癌症的公共卫生人员的死亡率均高于公共卫生人员(41.3/1000 人-年[py],95% 置信区间[CI]34.0, 48.7)。EBV相关癌症(63.2/1000人年,95% CI 47.8,78.7)、肺癌(147.7/1000人年,95% CI 41.1,254.3)和非霍奇金淋巴瘤(70.5/1000人年,95% CI 51.4,89.6)的超额死亡率最高。2009-2016年,威尔士人的超额死亡率有所下降,患有癌症的威尔士人在确诊5年后没有超额死亡率。结论:接受护理的威利人可能会因某些癌症类型而导致超额死亡率,但随着时间的推移,差异可能会减小,并且在确诊后 5 年内不会持续存在。影响:研究结果可为改进临床实践提供指导,并表明需要进一步研究癌症治疗或其他因素是否会导致患有癌症的残疾人死亡率差异。
Excess Mortality in Persons with Concurrent HIV and Cancer Diagnoses: A Retrospective Cohort Study
Background: With extended lifespans for people with human immunodeficiency virus (PWH), there is a corresponding increased burden of chronic illnesses, including cancer. Our objective was to estimate the excess mortality for PWH with cancer compared with people without HIV (PWoH), accounting for the higher background mortality in the general PWH population. Methods: We identified 39,000 PWH and 387,767 demographically-matched PWoH in three integrated healthcare systems from 2000-2016. We estimated excess mortality for PWH with cancer, computed as the cancer mortality rate difference-in-difference comparing PWH and PWoH. We evaluated five cancer groups: any cancer; virus-, human papillomavirus-, and Epstein-Barr virus (EBV)-related cancers; virus-unrelated cancers, and common individual cancers. We fitted a multivariable additive Poisson model to estimate excess mortality for PWH with cancer. Results: PWH with any cancer had excess mortality compared with PWoH (41.3/1000 person-years [py], 95% Confidence Interval [CI] 34.0, 48.7). The highest excess mortality was observed for EBV-related cancers (63.2/1000 py, 95% CI 47.8, 78.7), lung cancer (147.7/1000 py, 95% CI 41.1, 254.3) and non-Hodgkin lymphoma (70.5/1000 py, 95% CI 51.4, 89.6). Excess mortality for PWH was attenuated 2009-2016, and PWH with cancer had no excess mortality 5 years after diagnosis. Conclusions: PWH in care may have excess mortality from certain cancer types, although disparities may have attenuated over time and do not persist beyond 5 years after diagnosis. Impact: Findings may guide improved clinical practice, and suggest further research is needed to investigate whether cancer treatment or other factors contribute to mortality disparities for PWH with cancer.
期刊介绍:
Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.