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  1. Home
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Browsing by Subject "Lymphoma"

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    HIV testing and burden of HIV infection in black cancer patients in Johannesburg, South Africa: a cross-sectional study
    (2015) Sengayi, Mazvita; Babb, Chantal; Egger, Matthias; Urban, Margaret I
    BackgroundHIV infection is a known risk factor for cancer but little is known about HIV testing patterns and the burden of HIV infection in cancer patients. We did a cross-sectional analysis to identify predictors of prior HIV testing and to quantify the burden of HIV in black cancer patients in Johannesburg, South Africa.MethodsThe Johannesburg Cancer Case–control Study (JCCCS) recruits newly-diagnosed black cancer patients attending public referral hospitals for oncology and radiation therapy in Johannesburg . All adult cancer patients enrolled into the JCCCS from November 2004 to December 2009 and interviewed on previous HIV testing were included in the analysis. Patients were independently tested for HIV-1 using a single ELISA test . The prevalence of prior HIV testing, of HIV infection and of undiagnosed HIV infection was calculated. Multivariate logistic regression models were fitted to identify factors associated with prior HIV testing.ResultsA total of 5436 cancer patients were tested for HIV of whom 1833[33.7% (95% CI=32.5-35.0)] were HIV-positive. Three-quarters of patients (4092 patients) had ever been tested for HIV. The total prevalence of undiagnosed HIV infection was 11.5% (10.7-12.4) with 34% (32.0–36.3) of the 1833 patients who tested HIV-positive unaware of their infection. Men >49 years [OR 0.49(0.39–0.63)] and those residing in rural areas [OR 0.61(0.39–0.97)] were less likely to have been previously tested for HIV. Men with at least a secondary education [OR 1.79(1.11–2.90)] and those interviewed in recent years [OR 4.13(2.62 – 6.52)] were likely to have prior testing. Women >49 years [OR 0.33(0.27–0.41)] were less likely to have been previously tested for HIV. In women, having children <5 years [OR 2.59(2.04–3.29)], hormonal contraceptive use [OR 1.33(1.09–1.62)], having at least a secondary education [OR:2.08(1.45–2.97)] and recent year of interview [OR 6.04(4.45–8.2)] were independently associated with previous HIV testing.ConclusionsIn a study of newly diagnosed black cancer patients in Johannesburg, over a third of HIV-positive patients were unaware of their HIV status. In South Africa black cancer patients should be targeted for opt-out HIV testing.Electronic supplementary materialThe online version of this article (doi:10.1186/s12885-015-1171-7) contains supplementary material, which is available to authorized users.
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    The determinants and impact of diagnostic delay in lymphoma in a TB and HIV endemic setting
    (2019-04-25) Antel, Katherine; Levetan, Carly; Mohamed, Zainab; Louw, Vernon J; Oosthuizen, Jenna; Maartens, Gary; Verburgh, Estelle
    Background Little is known about the pathway to diagnosis of lymphoma in Sub-Saharan Africa, despite the increased risk of lymphoma in people living with HIV (PLHIV). The challenges of diagnosis in this setting include diagnostic confusion with extrapulmonary tuberculosis (EPTB), which commonly causes lymphadenopathy in PLHIV. Methods We analysed the time to diagnosis and treatment in patients using predetermined time intervals. Univariate and multivariable analyses were performed to determine the relationship between patient and disease-specific variables with delays to diagnosis. We were particularly interested in the impact of HIV, empiric tuberculosis therapy and fine-needle aspirate for cytology (FNAC) in contributing to delay. Results Patients (n = 163), 29% HIV-infected, waited a median of 4 weeks before seeking medical attention. It took a median of 7 weeks for the diagnosis of lymphoma to be made from the time the patient sought medical attention, termed the healthcare practitioner interval. In multivariable logistic regression analysis, diagnostic delay > 6 weeks was associated with late-stage disease (OR 2.3, 95% CI 1.1–5.2) and Hodgkin lymphoma (HL) (OR 3.0, 95% CI 1.1–8.0). HIV status was not associated with diagnostic delay (OR 0.9, 95% CI 0.3–2.2). The median time to diagnosis was a median of 4 weeks longer for patients on tuberculous (TB) therapy (n = 16, p = 0.28) and patients who underwent an FNAC (n = 63, p = 0.04). Where FNAC was performed, it was diagnostic for lymphoma in only 11%. Diagnostic delay was not associated with overall survival. Conclusions Time-to-diagnosis of lymphoma in South Africa was similar to that reported from high-income countries and shows significant periods of delay between the onset of symptoms to diagnosis and treatment. The longest period of delay was in the health practitioner interval. Education regarding the significance of lymphadenopathy for both patients and health care practitioners and appropriate investigative steps preferably by best-practice algorithms specific to TB-endemic areas are needed to shorten the time-to-diagnosis of lymphoma.
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