Cox regression models to estimate factors associated with loss to follow up after RST administration, not controlling and controlling for adherence at CCASAnet sites, 2012–2015 (n = 3604) ^a^,^b^,^c.

<p>Cox regression models to estimate factors associated with loss to follow up after RST administration, not controlling and controlling for adherence at CCASAnet sites, 2012–2015 (n = 3604) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t003fn001" target="_blank">^a</a>^,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t003fn002" target="_blank">^b</a>^,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t003fn003" target="_blank">^c</a>.</p

Cox regression model to estimate factors associated with virologic failure following RST administration at CCASAnet sites, 2012–2015, (n = 1901)^a^,^b^,^c.

<p>Cox regression model to estimate factors associated with virologic failure following RST administration at CCASAnet sites, 2012–2015, (n = 1901)<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t004fn001" target="_blank">^a</a>^,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t004fn002" target="_blank">^b</a>^,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t004fn003" target="_blank">^c</a>.</p

Logistic regression models to estimate factors associated with not being retained in care at CCASAnet sites during May 1, 2014 to May 1, 2015, not controlling and controlling for adherence (n = 3549)^a^,^b^,^c^,^d.

<p>Logistic regression models to estimate factors associated with not being retained in care at CCASAnet sites during May 1, 2014 to May 1, 2015, not controlling and controlling for adherence (n = 3549)<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t002fn001" target="_blank">^a</a>^,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t002fn002" target="_blank">^b</a>^,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t002fn003" target="_blank">^c</a>^,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194228#t002fn004" target="_blank">^d</a>.</p

Is substance use associated with HIV cascade outcomes in Latin America? - Fig 1

<p>Cumulative incidences of loss to follow up (A) and virologic failure (B) in CCASAnet, stratified by alcohol and substance use, 2014–2015. LTFU = Lost to Follow Up; RST = Rapid Screening Tool.</p

Clinical outcomes (death and lost to follow-up [LTFU]) during the first ten years of HAART among all patients who initiated HAART prior to 2004 at six CCASAnet sites (n = 4975).

<p>Median (black line) as well as 25^th and 75^th percentile CD4 counts (white lines) are also displayed. The percentage of active patients with a measured viral load and CD4 is given at the bottom of the figure. The proportions for viral load categories are based on the relative frequency of each category among active patients with a measurement during the six-month period. Haiti site didn´t measure viral load.</p

Time to HAART Initiation after Diagnosis and Treatment of Opportunistic Infections in Patients with AIDS in Latin America - Fig 2

<p><b>Probability of starting HAART after all opportunistic infections</b> (A); opportunistic infections excluding tuberculosis and cryptoccocal meningitis (B); tuberculosis (C) or cryptococcal meningitis (D), before and after 2009.</p

Number of cases of each opportunistic infection reported according to site and combined.

<p>Number of cases of each opportunistic infection reported according to site and combined.</p

Drug regimen status during the first ten years of HAART among all patients who initiated treatment prior to 2004 (n = 4,975).

<p>Drug regimen status during the first ten years of HAART among all patients who initiated treatment prior to 2004 (n = 4,975).</p

Demographic and physiological characteristics for patients initiating antiretroviral therapy across six Caribbean, Central and South America sites (N = 4975).

<p>Demographic and physiological characteristics for patients initiating antiretroviral therapy across six Caribbean, Central and South America sites (N = 4975).</p

Adjusted logistic model for factors associated with starting HAART within the first 4 weeks after opportunistic infection.

<p>Adjusted logistic model for factors associated with starting HAART within the first 4 weeks after opportunistic infection.</p