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Finally, two comparative libraries were generated using ML-derived data to biologically validate these findings and demonstrate the predictive power of ML in vector design.[This corrects the article DOI 10.1093/ofid/ofaa248.].

Dengue and Chikungunya viruses can cause large-scale epidemics, with attack rates of up to 80%. In Tanzania, there have been repeated outbreaks of dengue fever, the most recent in 2018 and 2019, mostly affecting the coastal areas. Despite the importance of these viruses, there is limited knowledge on the epidemiology of dengue (DENV) and Chikungunya (CHIKV) in Tanzania. This study was conducted to investigate the prevalence of DENV and CHIKV in Kilombero Valley, Tanzania.

A cross-sectional study was conducted at Kibaoni Health Center in Kilombero Valley, Southeastern Tanzania, in the rainy and dry seasons of 2018. Febrile patients of any age and gender were enrolled from the outpatient department. Blood samples were taken and screened for DENV and CHIKV viral RNA by real-time reverse transcription polymerase chain reaction assays.

Overall, 294 patients were recruited. Most were females (65%), and one-third of patients were aged 14-25 years. DENV and CHIKV were detected in 29 (9.9%) and 3 (1.0%) patients in Tanzania.

Switching antiretroviral therapy (ART) in people with HIV (PWH) can influence their risk for drug-drug interactions (DDIs). The purpose of this study was to assess changes in the incidence and severity of DDIs among PWH who switched their ART to bictegravir/emtricitabine/tenofovir alafenamide (BIC/FTC/TAF).

This was a multicenter retrospective cohort study of PWH on ART and at least 1 concomitant medication (CM) who switched to BIC/FTC/TAF between 3/2018 and 6/2019. Using the University of Liverpool's HIV Drug Interaction Database, 2 DDI analyses were performed for each patient. The first assessed patients' preswitch ART regimens with their CM list. The second assessed the same CM list with BIC/FTC/TAF. Each ART-CM combination was given a score of 0 (no or potential weak interaction), 1 (potential interaction), or 2 (contraindicated interaction). A paired

test analyzed changes in total DDI scores following ART switches, and linear regression examined factors contributing to DDI score reductions.

Among 411 patients, 236 (57%) had at least 1 DDI present at baseline. On average, baseline DDI scores (SD) were 1.4 (1.8) and decreased by 1 point (95% CI, -1.1 to -0.8) after patients switched to BIC/FTC/TAF (

< .0001). After adjusting for demographics, baseline ART, and CM categories, switching to BIC/FTC/TAF led to significant DDI score reductions in patients receiving CMs for cardiovascular disease, neurologic/psychiatric disorders, chronic pain, inflammation, gastrointestinal/urologic conditions, and conditions requiring hormonal therapy.

Treatment-experienced PWH eligible to switch their ART may experience significant declines in number and severity of DDIs if switched to BIC/FTC/TAF.

Treatment-experienced PWH eligible to switch their ART may experience significant declines in number and severity of DDIs if switched to BIC/FTC/TAF.

Patients colonized with multidrug-resistant

and discharged to a community setting can subsequently seek care in a different healthcare facility and might be a source of nosocomial transmission of

.

We designed a case management pilot program for a cohort of New York City residents who had a history of positive

culture identified during clinical or screening activities in healthcare settings and discharged to a community setting during 2017-2019. Approximately every 3 months, case managers coordinated

colonization assessments, which included swabs of groin, axilla, and body sites yielding

previously. Resiquimod purchase Patients eligible to become serially negative were those with ≥2

colonization assessments after initial

identification. Clinical characteristics of serially negative and positive patients were compared.

The cohort included 75 patients. Overall, 45 patients were eligible to become serially negative and had 552 person-months of follow-up. Of these 45 patients, 28 patients were serially negative (62%; rate 5.1/100 person-months), 8 were serially positive, and 9 could not be classified as either. There were no clinical characteristics that were significantly different between serially negative and positive patients. The median time from initial

identification to being serially negative at assessments was 8.6 months (interquartile range, 5.7-10.8 months).

A majority of patients, assessed at least twice after

identification, no longer had

detectable on serial colonization assessments.

A majority of patients, assessed at least twice after C auris identification, no longer had C auris detectable on serial colonization assessments.

The predictors of weight gain remain unclear in people with acute and early HIV infection (AEH).

Eligible antiretroviral-naïve men diagnosed with AEH from January 1, 2000, to December 31, 2019, were enrolled in an observational cohort study at the University California, San Diego. The study used multivariable mixed-effect linear regression models to analyze differences in the rate of weight gain over time between participants receiving early vs deferred antiretroviral therapy (ART) treatment, low vs high baseline CD4 count and HIV RNA, and different classes of ART.

A total of 463 participants were identified, with mean CD4 cell count of 507 cells/μL and log HIV RNA of 5.0 copies/mL at study entry. There was no difference in the rate of weight gain between participants who did and did not receive ART within 96 weeks of incident HIV infection. Neither a baseline CD4 count of <350 cells/μL nor a baseline HIV RNA of >100 000 copies/mL was a predictor of weight gain. Compared with persons taking non-nucleoside reverse transcriptase inhibitor-based regimens, those who received integrase strand transfer inhibitor (INSTI)-based regimens showed greater weight gain over time.

Neither baseline CD4 count and HIV RNA nor early ART was associated with weight change in the first 96 weeks following incident HIV infection. Use of INSTI-based regimens represented a major driver of weight gain in men who initiated ART with relatively higher CD4 cell counts.

Neither baseline CD4 count and HIV RNA nor early ART was associated with weight change in the first 96 weeks following incident HIV infection. Use of INSTI-based regimens represented a major driver of weight gain in men who initiated ART with relatively higher CD4 cell counts.