Estimation of HIV incidence in the United States

H Irene Hall, Ruiguang Song, Philip Rhodes, Joseph Prejean, Qian An, Lisa M Lee, John Karon, Ron Brookmeyer, Edward H Kaplan, Matthew T McKenna, Robert S Janssen, HIV Incidence Surveillance Group, Anthony Merriweather, Heidi Mergenthaler, Jennifer A Donnelly, Heather Noga, Stefanie White, Deborah Crippen, Marti Merritt, Nanette Benbow, David K Fields, Samuel Ramirez, Marianne O'Connor, Melissa Van Dyne, Sonita Singh, Helene Cross, Lou Smith, Yussef Bennani, Penelope J Padgett, Terrainia Harris, Godwin Obiri, Kathleen A Brady, Kelly McCormick, Thomas J Shavor, Cheryl L E Jablonski, Shirley Chan, Nene Diallo, Alexia Exarchos, Barbara DeCausey, Ulana Bodnar, M Kathleen Glynn, Timothy Green, Angela Hernandez, Richard Kline, Lillian S Lin, Laurie Linley, Frances Walker, William Wheeler, H Irene Hall, Ruiguang Song, Philip Rhodes, Joseph Prejean, Qian An, Lisa M Lee, John Karon, Ron Brookmeyer, Edward H Kaplan, Matthew T McKenna, Robert S Janssen, HIV Incidence Surveillance Group, Anthony Merriweather, Heidi Mergenthaler, Jennifer A Donnelly, Heather Noga, Stefanie White, Deborah Crippen, Marti Merritt, Nanette Benbow, David K Fields, Samuel Ramirez, Marianne O'Connor, Melissa Van Dyne, Sonita Singh, Helene Cross, Lou Smith, Yussef Bennani, Penelope J Padgett, Terrainia Harris, Godwin Obiri, Kathleen A Brady, Kelly McCormick, Thomas J Shavor, Cheryl L E Jablonski, Shirley Chan, Nene Diallo, Alexia Exarchos, Barbara DeCausey, Ulana Bodnar, M Kathleen Glynn, Timothy Green, Angela Hernandez, Richard Kline, Lillian S Lin, Laurie Linley, Frances Walker, William Wheeler

Abstract

Context: Incidence of human immunodeficiency virus (HIV) in the United States has not been directly measured. New assays that differentiate recent vs long-standing HIV infections allow improved estimation of HIV incidence.

Objective: To estimate HIV incidence in the United States.

Design, setting, and patients: Remnant diagnostic serum specimens from patients 13 years or older and newly diagnosed with HIV during 2006 in 22 states were tested with the BED HIV-1 capture enzyme immunoassay to classify infections as recent or long-standing. Information on HIV cases was reported to the Centers for Disease Control and Prevention through June 2007. Incidence of HIV in the 22 states during 2006 was estimated using a statistical approach with adjustment for testing frequency and extrapolated to the United States. Results were corroborated with back-calculation of HIV incidence for 1977-2006 based on HIV diagnoses from 40 states and AIDS incidence from 50 states and the District of Columbia.

Main outcome measure: Estimated HIV incidence.

Results: An estimated 39,400 persons were diagnosed with HIV in 2006 in the 22 states. Of 6864 diagnostic specimens tested using the BED assay, 2133 (31%) were classified as recent infections. Based on extrapolations from these data, the estimated number of new infections for the United States in 2006 was 56,300 (95% confidence interval [CI], 48,200-64,500); the estimated incidence rate was 22.8 per 100,000 population (95% CI, 19.5-26.1). Forty-five percent of infections were among black individuals and 53% among men who have sex with men. The back-calculation (n = 1.230 million HIV/AIDS cases reported by the end of 2006) yielded an estimate of 55,400 (95% CI, 50,000-60,800) new infections per year for 2003-2006 and indicated that HIV incidence increased in the mid-1990s, then slightly declined after 1999 and has been stable thereafter.

Conclusions: This study provides the first direct estimates of HIV incidence in the United States using laboratory technologies previously implemented only in clinic-based settings. New HIV infections in the United States remain concentrated among men who have sex with men and among black individuals.

Figures

Figure 1
Figure 1
Estimated number of new HIV infections, extended back-calculation model, 50 U.S. states and the District of Columbia, 1977–2006 Extended back-calculation approach. Tick marks denote beginning and ending of a year. The model specified time periods within which the number of HIV infections were assumed to be approximately constant.
Figure 2
Figure 2
Estimated number of new HIV infections by transmission category, extended back-calculation model, 50 U.S. states and the District of Columbia, 1977–2006 Extended back-calculation approach. Tick marks denote beginning and ending of a year. The model specified time periods within which the number of HIV infections were assumed to be approximately constant.
Figure 3
Figure 3
Estimated number of new HIV infections, by race/ethnicity (a. all race/ethnicity categories and b. Asian/Pacific Islander and American Indian/Alaska Native), extended back-calculation model, 50 U.S. states and the District of Columbia , 1977–2006 Extended back-calculation approach. Tick marks denote beginning and ending of a year. The model specified time periods within which the number of HIV infections were assumed to be approximately constant.
Figure 3
Figure 3
Estimated number of new HIV infections, by race/ethnicity (a. all race/ethnicity categories and b. Asian/Pacific Islander and American Indian/Alaska Native), extended back-calculation model, 50 U.S. states and the District of Columbia , 1977–2006 Extended back-calculation approach. Tick marks denote beginning and ending of a year. The model specified time periods within which the number of HIV infections were assumed to be approximately constant.

Source: PubMed

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