Search

Background: Cancer is the leading cause of death in people living with HIV. In the United States, nearly 1 in 4 people living with HIV are women, more than half of whom rely on Medicaid for healthcare coverage. Objective: The objective of this study is to evaluate the cancer burden of women living with HIV on Medicaid. Design: We conducted a cross-sectional study of women 18–64 years of age enrolled in Medicaid during 2012, using data from Medicaid Analytic eXtract files. Methods: Using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes, we identified women living with HIV (n = 72,508) and women without HIV (n = 17,353,963), flagging the presence of 15 types of cancer and differentiating between AIDS-defining cancers and non-AIDS-defining cancers. We obtained adjusted prevalence ratios and 95% confidence intervals for each cancer and for all cancers combined, using multivariable log-binomial models, and additionally stratifying by age and race/ethnicity. Results: The highest adjusted prevalence ratios were observed for Kaposi's sarcoma (81.79 (95% confidence interval: 57.11–117.22)) and non-Hodgkin's lymphoma (27.69 (21.67–35.39)). The adjusted prevalence ratios for anal and cervical cancer, both of which were human papillomavirus-associated cancers, were 19.31 (17.33–21.51) and 4.20 (3.90–4.52), respectively. Among women living with HIV, the adjusted prevalence ratio for all cancer types combined was about two-fold higher (1.99 (1.86–2.14)) in women 45–64 years of age than in women 18–44 years of age. For non-AIDS-defining cancers but not for AIDS-defining cancers, the adjusted prevalence ratios were higher in older than in younger women. There was no significant difference in the adjusted prevalence ratios for all cancer types combined in the race/ethnicity-stratified analyses of the women living with HIV cohort. However, in cancer type–specific sub-analyses, differences in adjusted prevalence ratios between Hispanic versus non-Hispanic women were observed. For example, the adjusted prevalence ratio for Hispanic women for non-Hodgkin's lymphoma was 2.00 (1.30–3.07) and 0.73 (0.58–0.92), respectively, for breast cancer. Conclusion: Compared to their counterparts without HIV, women living with HIV on Medicaid have excess prevalence of cervical and anal cancers, both of which are human papillomavirus related, as well as Kaposi's sarcoma and lymphoma. Older age is also associated with increased burden of non-AIDS-defining cancers in women living with HIV. Our findings emphasize the need for not only cancer screening among women living with HIV but also for efforts to increase human papillomavirus vaccination among all eligible individuals. [ABSTRACT FROM AUTHOR]

Background Heroin use may work synergistically with human immunodeficiency virus (HIV) infection to cause greater immune dysregulation than either factor alone. Unraveling how this affects end-organ disease is key as it may play a role in the excess mortality seen in people with HIV (PWH) who use heroin despite access to care and antiretroviral therapy. Methods This is a prospectively enrolled, cross-sectional study of adults with and without HIV who use and do not use heroin using (18)F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) to compare tissue-specific inflammation including aortic (target-to-background ratio [TBR]), splenic, and bone marrow (standardized uptake value [SUV]). Results A total of 120 participants were enrolled. The unadjusted mean difference in aortic TBR was 0.43 between HIV-positive [HIV+] heroin+ and HIV+ heroin-negative [heroin−] (P =.02); however, among HIV−, aortic TBR was similar regardless of heroin-use status. Further, HIV-by-heroin-use status interaction was significant (P =.02), indicating that the relationship between heroin use and higher aortic TBR depended on HIV status. On the other hand, both HIV (1.54 vs 1.68; P =.04, unadjusted estimated means for HIV+ vs HIV−) and heroin use were associated with lower bone marrow SUV, although the effect of heroin depended on sex (heroin-use-by-sex interaction, P =.03). HIV-by-heroin-use interaction was not significant for splenic or bone marrow SUV. Conclusions Aortic inflammation was greatest in PWH who use heroin, but paradoxically, bone marrow activity was the least in this group, suggesting complex and possibly divergent pathophysiology within these different end organs. [ABSTRACT FROM AUTHOR]

Background: Hepatitis C virus (HCV) infection is a major public health burden, affecting over 4 million people. The Centers for Disease Control and Prevention and the US Preventive Services Task Force guidelines recommend screening everyone born between 1945 and 1965, but screening rates remain low.Objective: To determine whether bulk ordering and electronic messaging to patients improves guideline-based HCV screening rates.Design: A non-randomized controlled trial of 1024 adults from November 2016 to March 2017.Participants: Patients due for HCV screening with at least one primary care office visit in one of three primary care clinics and enrolled in the healthcare system's tethered personal health record (tPHR).Interventions: Control patients received normal care for HCV screening, consisting of passive HCV reminders to providers during face-to-face visits and passive HCV screening notification through the patient's tPHR. Intervention patients received normal care and also had HCV antibody tests ordered for them and customized messages sent through their tPHR inviting them to go directly to the lab for HCV screening over a 12-week period.Main Measures: Percentage/number of patients receiving HCV antibody tests during the intervention period. Percentage/number of intervention group patients receiving HCV screening with other blood work.Key Results: In the intervention group, 33% (168 of 514) completed HCV testing, compared with 19% (97 of 510) of controls (OR 1.7, 95% CI 1.2-2.1). Bulk lab ordering appeared to have a large impact while bulk messaging appeared to have a less significant role.Conclusions: Leveraging population analytics and bulk ordering in an electronic health record with bulk messaging to a tPHR directly engages patients in blood screening tests and can significantly improve completion. This methodology has a broad range of applications including many recommended screening or disease-specific testing. This bulk ordering and direct-to-patient messaging approach improves patient screening while decreasing provider/staff work.Trial Registration: MetroHealth IRB16-00776 (ClinicalTrials.gov). [ABSTRACT FROM AUTHOR]