Successful restoration of spermatogenesis following gender-affirming hormone therapy in transgender women

Increasing numbers of transgender individuals are presenting for gender-affirming medical care. For trans women, gender-affirming hormone therapy (GAHT) promotes feminization but also inhibits spermatogenesis. There is a common untested assumption that this inhibition is permanent, resulting in infertility. In this longitudinal study, we report the recovery of viable spermatozoa in nine trans women who stopped GAHT for reproductive purposes. Our preliminary findings suggest that the negative impact of GAHT on spermatogenesis can be reversed, casting doubt on previous claims that GAHT in trans women inevitably leads to permanent infertility. Larger studies are needed to confirm our findings, which have implications not only for fertility counseling and the reproductive options of transgender individuals but also efforts to restrict access to GAHT based on fertility grounds

An update to the HIV-TRePS system: The development of new computational models that do not require a genotype to predict HIV treatment outcomes

Objectives: The optimal individualized selection of antiretroviral drugs in resource-limited settings is challenging because of the limited availability of drugs and genotyping. Here we describe the development of the latest computational models to predict the response to combination antiretroviral therapy without a genotype, for potential use in such settings. Methods: Random forest models were trained to predict the probability of a virological response to therapy

Using clinical research networks to assess severity of an emerging influenza pandemic

BACKGROUND: Early clinical severity assessments during the 2009 influenza A H1N1 pandemic (pH1N1) overestimated clinical severity due to selection bias and other factors. We retrospectively investigated how to use data from the International Network for Strategic Initiatives in Global HIV Trials, a global clinical influenza research network, to make more accurate case fatality ratio (CFR) estimates early in a future pandemic, an essential part of pandemic response. METHODS: We estimated the CFR of medically attended influenza (CFRMA) as the product of probability of hospitalization given confirmed outpatient influenza and the probability of death given hospitalization with confirmed influenza for the pandemic (2009-2011) and post-pandemic (2012-2015) periods. We used literature survey results on health-seeking behavior to convert that estimate to CFR among all infected persons (CFRAR). RESULTS: During the pandemic period, 5.0% (3.1%-6.9%) of 561 pH1N1-positive outpatients were hospitalized. Of 282 pH1N1-positive inpatients, 8.5% (5.7%-12.6%) died. CFRMA for pH1N1 was 0.4% (0.2%-0.6%) in the pandemic period 2009-2011 but declined 5-fold in young adults during the post-pandemic period compared to the level of seasonal influenza in the post-pandemic period 2012-2015. CFR for influenza-negative patients did not change over time. We estimated the 2009 pandemic CFRAR to be 0.025%, 16-fold lower than CFRMA. CONCLUSIONS: Data from a clinical research network yielded accurate pandemic severity estimates, including increased severity among younger people. Going forward, clinical research networks with a global presence and standardized protocols would substantially aid rapid assessment of clinical severity