Chandrika J Piyathilake1, Suguna Badiga1, Greer A Burkholder2, Shuko Harada3, James L Raper2. 1. Department of Nutrition Sciences, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA. 2. Department of Medicine/Division of Infectious Diseases, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA. 3. Department of Pathology, The University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Abstract
BACKGROUND: Human papillomavirus (HPV) genotype testing has limited utility to identify human immunodeficiency virus-infected (HIV+) women's risk for developing cervical cancer (CC) due to high positivity rate of high-risk (HR) HPVs. We investigated the accuracy of HPV testing in isolation/in combination with CD4 and HIV viral load (VL) to identify HIV+ women at risk for developing CC. METHODS: Study consisted of 344 HIV+ women on combination antiretroviral therapy (cART), tested for cervical cytology/HPV using the Cobas test and had data on absolute CD4 count and VL measurements. We calculated the positive predictive value (PPV) and negative predictive value (NPV) of HPV testing, pre-, post-cART, and current CD4 and VL in isolation and in combinations to identify those with or free of higher than atypical squamous cells of unknown significance (ASCUS+) or low-grade intraepithelial lesions (LSIL+). RESULTS: HPV test in combination with pre-/post-cART or current CD4 counts and VL had higher PPVs compared to HPV test alone for identifying ASCUS+ or LSIL+. PPV of HPV-CD4 combinations yielded higher PPVs compared to HPV-VL combinations. The NPVs with pre-, post-cART, or current CD4 count and VL in isolation or in combinations were comparable to that of HPV test alone. CONCLUSIONS: Our results provide a more accurate tool for managing HIV+ women by combining Cobas HPV with CD4 and VL, especially those who had an undesirable pre-cART CD4 and VL status. Our results also indicate the usefulness of CD4 and VL measurements to identify those at lower risk in the absence of HPV testing.
BACKGROUND:Human papillomavirus (HPV) genotype testing has limited utility to identify humanimmunodeficiency virus-infected (HIV+) women's risk for developing cervical cancer (CC) due to high positivity rate of high-risk (HR) HPVs. We investigated the accuracy of HPV testing in isolation/in combination with CD4 and HIV viral load (VL) to identify HIV+ women at risk for developing CC. METHODS: Study consisted of 344 HIV+ women on combination antiretroviral therapy (cART), tested for cervical cytology/HPV using the Cobas test and had data on absolute CD4 count and VL measurements. We calculated the positive predictive value (PPV) and negative predictive value (NPV) of HPV testing, pre-, post-cART, and current CD4 and VL in isolation and in combinations to identify those with or free of higher than atypical squamous cells of unknown significance (ASCUS+) or low-grade intraepithelial lesions (LSIL+). RESULTS:HPV test in combination with pre-/post-cART or current CD4 counts and VL had higher PPVs compared to HPV test alone for identifying ASCUS+ or LSIL+. PPV of HPV-CD4 combinations yielded higher PPVs compared to HPV-VL combinations. The NPVs with pre-, post-cART, or current CD4 count and VL in isolation or in combinations were comparable to that of HPV test alone. CONCLUSIONS: Our results provide a more accurate tool for managing HIV+ women by combining Cobas HPV with CD4 and VL, especially those who had an undesirable pre-cART CD4 and VL status. Our results also indicate the usefulness of CD4 and VL measurements to identify those at lower risk in the absence of HPV testing.
Authors: J M Palefsky; H Minkoff; L A Kalish; A Levine; H S Sacks; P Garcia; M Young; S Melnick; P Miotti; R Burk Journal: J Natl Cancer Inst Date: 1999-02-03 Impact factor: 13.506
Authors: Warner K Huh; Kevin A Ault; David Chelmow; Diane D Davey; Robert A Goulart; Francisco A R Garcia; Walter K Kinney; L Stewart Massad; Edward J Mayeaux; Debbie Saslow; Mark Schiffman; Nicolas Wentzensen; Herschel W Lawson; Mark H Einstein Journal: Gynecol Oncol Date: 2015-01-08 Impact factor: 5.482