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60941 Vaginal pH predicts cervical intraepithelial neoplasia-2 regression in women living with human immunodeficiency virus

Published online by Cambridge University Press:  30 March 2021

Katherine Michel
Affiliation:
Georgetown University
Christine Colie
Affiliation:
Georgetown University
Robert D. Burk
Affiliation:
Albert Einstein College of Medicine
L. Stewart Massad
Affiliation:
Washington University in St. Louis
Cuiwei Wang
Affiliation:
Georgetown University
Michaeline Hebron
Affiliation:
Georgetown University
Charbel Moussa
Affiliation:
Georgetown University
Gypsyamber D’Souza
Affiliation:
Johns Hopkins University
Lisa Rahangdale
Affiliation:
University of North Carolina School of Medicine
Lisa Flowers
Affiliation:
Emory University
Joel Milam
Affiliation:
University of California Irvine
Joel M. Palefsky
Affiliation:
University of California San Francisco
Howard Minkoff
Affiliation:
Maimonides Medical Center
Howard D. Strickler
Affiliation:
Albert Einstein College of Medicine
Seble G. Kassaye
Affiliation:
Georgetown University
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Abstract

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ABSTRACT IMPACT: The potential to use vaginal pH as a low cost, non-invasive diagnostic test at the point of CIN2 diagnosis to predict worsening of cervical disease. OBJECTIVES/GOALS: We previously reported that persistence/progression of cervical intraepithelial neoplasia-2 (CIN2) was uncommon in women living with HIV (WLH) from the Women’s Interagency HIV Study (WIHS, now MWCCS). Here we examined additional factors that may influence CIN2 natural history. METHODS/STUDY POPULATION: A total of 337 samples from 94 WLH with a confirmed CIN2 diagnosis were obtained from the MWCCS. 42 cervicovaginal HPV types and 34 cervicovaginal cytokines/chemokines were measured at CIN2 diagnosis (94 samples) and 6-12 months prior to CIN2 diagnosis (79 samples). Covariates, including CD4 count and vaginal pH, were abstracted from core MWCCS visits. Logistic regression models were used to explore CIN2 regression (CIN1, normal) vs. persistence/progression (CIN2, CIN3). Log rank tests, Kaplan Meier method, and Cox regression modeling were used to determine CIN2 regression rates. RESULTS/ANTICIPATED RESULTS: The most prevalent HPV types were HPV54 (21.6%) and 53 (21.3%). 33 women (35.1%) had a subsequent CIN2/CIN3 diagnosis (median 12.5 years follow-up). Each additional hr-HPV type detected at the pre-CIN2 visit associated with increased odds of CIN2 persistence/progression (OR 2.27, 95% CI 1.15, 4.50). Higher vaginal pH (aOR 2.27, 95% CI 1.15, 4.50) and bacterial vaginosis (aOR 5.08, 95% CI 1.30, 19.94) at the CIN2 diagnosis visit associated with higher odds of CIN2 persistence/progression. Vaginal pH >4.5 at CIN2 diagnosis also associated with unadjusted time to CIN2 persistence/progression (log rank p=0.002) and a higher rate of CIN2 persistence/progression (adjusted hazard ratio [aHR] 3.37, 95% CI 1.26, 8.99). Cervicovaginal cytokine/chemokine levels were not associated with CIN2 persistence/progression. DISCUSSION/SIGNIFICANCE OF FINDINGS: We found relatively low prevalence of HPV16/18 in this cohort. Elevated vaginal pH at the time of CIN2 diagnosis may be a useful indicator of CIN2 persistence/progression and the rate of persistence/progression.

Type
Clinical Epidemiology
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2021