Corie hirschtick biography template
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Published in final edited form as: J Infect Dis. Mar 15;(6)– doi: /
Abstract
Background
Because activation of T cells is associated with human immunodeficiency virus (HIV) pathogenesis, CD4 and CD8 activation levels in patients coinfected with HIV and hepatitis C virus (HCV) may explain conflicting reports regarding effects of HCV on HIV disease progression.
Methods
Kaplan-Meier and multivariate Cox regression models were used to study the risk of incident clinical AIDS and AIDS-related deaths among HCV-negative women with HIV infection, 87 HCV-positive nonviremic women with HIV coinfection, and HCV-positive viremic women with HIV coinfection (median follow-up time, years). For women, the percentages of activated CD4 and CD8 T cells expressing HLA-DR (DR) and/or CD38 were evaluated.
Results
HCV-positive viremic women had a statistically significantly higher percentage of activated CD8 T cells (P < ) and a statistically sig
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Designing & Implementing Simulation-Based Mastery Learning Curricula
This comprehensive, multi-day course will help participants acquire the knowledge and skills needed to design and implement mastery learning curricula.Mastery learning is a rigorous form of competency-based medical education. Use of the mastery model has been shown to improve patient care quality and lower healthcare costs. Northwestern Simulation faculty are leading experts in using simulation-based mastery learning to develop and measure clinical skills.
Upcoming Class
Dates:
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- September ,
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Published in final edited form as: Prev tillsammans. Aug 4; doi: /
Abstract
A persistent utmaning is characterizing patterns of tobacco use in terms of product combinations and frequency. Using Wave 4 (–17) Population Assessment of Tobacco and Health Study adult information, we conducted latent class analyses (LCA) of past day frequency of use for 9 tobacco products. One-step LCA with joint multinomial logistic regression models compared sociodemographic factors between users (n=13,) and non-users (n=17,), and between latent classes of users. We accounted for survey design and weights. Our analyses identified 6 classes: in addition to non-users class (C0: %), we funnen 5 distinct latent classes of users: daily exclusive cigarette users (C1: %); occasional cigarette and polytobacco users (C2: %); frequent e-product and occasional cigarette users (C3: %); daglig smokeless tobacco (SLT) and infrequent cigarette users (C4: %); and occasional cigar user