Next‐generation sequencing (NGS) is able to describe the composition of human papillomaviruses (HPVs) as percent (%) reads rather than positive/negative results. Therefore, we used this unique approach to assess the prevalence of cervical HPVs of HIV infected (HIV+) in order to understand the determinants of being infected with higher % reads of high risk (HR)‐HPVs and cervical abnormalities of atypical squamous cells of unknown significance or higher (ASCUS+).
Study included 66 women characterized for relevant risk factors/cytology. Receiver‐operating curve curve was used to derive the optimal % read cut point to identify ASCUS+ in relation to any HR‐HPV genotype or other specific HPV genotypes. The determinants of ASCUS+ and HR‐HPVs were tested using logistic regression.
Women with >20% reads of any HR‐HPV or >12% any HR‐HPV other than HPV 16/18 were 5.7 and 12.6 times more likely to be diagnosed with ASCUS+, respectively. Lower CD4 count was a significant determinant of >20% reads of HR‐HPV (odds ratio [OR] = 4.1) or >12% any HR‐HPV other than HPV 16/18 (OR = 4.5).
We envision that the NGS‐based HPV detection will be more accurate for screening and management of HIV+ at risk for developing cervical cancer (CC). We raise concerns regarding the limitations of 16/18‐based HPV testing for triage and the efficacy of current HPV vaccines for preventing CC in HIV+.