
Predicting diabetes risk among HIV-positive and HIV-negative women
Author(s) -
Karla I. Galavíz,
Michael Schneider,
Phyllis C. Tien,
C. Christina Mehta,
Ighovwerha Ofotokun,
Vincent C. Marconi,
Kartika Palar,
Gina M. Wingood,
Adaora A. Adimora,
María L. Alcaide,
Mardge H. Cohen,
Deborah Gustafson,
Roksana Karim,
Deborah KonkleParker,
Daniel Merenstein,
Anjali Sharma,
Mohammed K. Ali
Publication year - 2018
Publication title -
aids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.195
H-Index - 216
eISSN - 1473-5571
pISSN - 0269-9370
DOI - 10.1097/qad.0000000000002017
Subject(s) - medicine , diabetes mellitus , prospective cohort study , receiver operating characteristic , cohort study , cohort , human immunodeficiency virus (hiv) , type 2 diabetes , immunology , endocrinology
To assess the performance of an adapted American Diabetes Association (ADA) risk score and the concise Finnish Diabetes Risk Score (FINRISC) for predicting type 2 diabetes development in women with and at risk of HIV infection.