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Project Management A Managerial Approach 8th Edition Free Solution Manua .Predicting outcomes in HIV-associated lymphoma based on HIV RNA level at presentation to routine clinical care.
Non-Hodgkin’s lymphoma (NHL) continues to be a major cause of cancer mortality in HIV-infected patients. The advent of effective antiretroviral therapy (ART) has reduced the burden of NHL in this population, but there is a need for predictive tests that will assist with optimal timing of cancer treatment. We aimed to develop a simple risk score that can be used to stratify the risk of aggressive disease within the time interval before ART initiation and to identify high-risk subgroups that may require prioritization of HIV treatment and chemoprophylaxis. Patients who presented with NHL to a large HIV clinic in Baltimore, Maryland, between January 1, 2003, and December 31, 2007, were identified retrospectively. Two models were developed to predict relapse of NHL within 1 year of treatment using AIDS-free survival (AFS) as the primary endpoint. Model 1 predicted AFS based on a combination of pretreatment HIV RNA, CD4 cell count, and lymphocyte count. Model 2 included ART status in addition to model 1 variables. As an assessment of relative risk of relapse, absolute risk of relapse in 1 year was calculated using the Kaplan-Meier method, and risk of relapse was compared between low-risk and high-risk groups. Of the 370 patients (61% of eligible patients) who met the inclusion criteria, 68% were male, the mean age was 39 years, and 32% were men who have sex with men. In multivariable analyses, only an absolute CD4 cell count of
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