The Importance of 4th Generation HIV Testing in an Urban Emergency Department

Modern diagnostic technologies for HIV

Novel diagnostic technologies, including nanotechnology, microfluidics, -omics science, next-generation sequencing, genomics big data, and machine learning, could contribute to meeting the UNAIDS 95-95-95 targets to end the HIV epidemic by 2030. Novel technologies include multiplexed technologies (including biomarker-based point-of-care tests and molecular platform technologies), biomarker-based combination antibody and antigen technologies, dried-blood-spot testing, and self-testing. Although biomarker-based rapid tests, in particular antibody-based tests, have dominated HIV diagnostics since the development of the first HIV test in the mid-1980s, targets such as nucleic acids and genes are now used in nanomedicine, biosensors, microfluidics, and -omics to enable early diagnosis of HIV. These novel technologies show promise as they are associated with ease of use, high diagnostic accuracy, rapid detection, and the ability to detect HIV-specific markers. Additional clinical and implementation research is needed to generate evidence for use of novel technologies and a public health approach will be required to address clinical and operational challenges to optimise their global deployment.

Clinical knowledge of human immunodeficiency virus and sexually transmitted infections among emergency medicine providers

Introduction

This study examines the association of the domains of knowledge for HIV and sexually transmitted infections (STIs) among emergency medicine providers (EP).

Methods

From February 2018 to March 2018, 75 EP (physicians, residents, and advanced practice providers) completed an anonymous, self-administered survey. The primary outcome of strength of correlation between HIV and STI sections of the survey was analyzed using Spearman’s rank-order coefficient.

Results

Respondents were physicians (54.6%), male (56%), Caucasian (83.7%), with eight years in practice (IQR: 2,16). Spearman’s correlation of HIV and STIs showed a weak positive correlation ( r = 0.35, p = 0.002). There was no association between HIV scores and provider type ( p = 0.67) or provider gender ( p = 0.89) as well as no association between STI scores and provider type ( p = 0.10) or provider gender ( p = 0.79).

Conclusion

The results of our study reveal that when presented with a patient at high risk for undiagnosed HIV or with undiagnosed symptomatic HIV infection, most providers either do not test or do not have HIV in the differential diagnosis. Similarly, knowledge of STIs is only weakly correlated with knowledge of HIV risk factors and symptomatic HIV infection. Further research and screening efforts may benefit by focusing on HIV education among emergency medicine providers.