
Improving Methods to Classify Perinatal versus Nonperinatal HIV Acquisition in Young Adolescents 10–14 Years of Age
Author(s) -
Priscilla R Tsondai,
MaryAnn Davies,
Thida Singtoroj,
Nicola Maxwell,
Catherine C. McGowan,
Wipaporn Natalie Songtaweesin,
Karl-Günter Technau,
Azar Kariminia,
Cleophas Chimbetete,
Regina C.M. Succi,
Jorge Pinto,
Vanessa Rouzier,
Marco Tulio Luque,
Annette H. Sohn
Publication year - 2021
Publication title -
the pediatric infectious disease journal/the pediatric infectious disease journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 140
eISSN - 1532-0987
pISSN - 0891-3668
DOI - 10.1097/inf.0000000000003059
Subject(s) - logistic regression , human immunodeficiency virus (hiv) , medicine , cohort , proxy (statistics) , pediatrics , health care , family medicine , computer science , machine learning , economics , economic growth
Mode of HIV acquisition for adolescents with HIV is often not recorded within routine healthcare databases. Hence, age at enrollment in HIV care is often used as a proxy for perinatal versus nonperinatal infection. Using routine cohort data from adolescents presenting for HIV care 10-14 years of age, we developed logistic regression models to predict likely mode of infection.