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Modeling outcomes in HIV care can provide insight into future trends and costs relating to various care strategies. Now, researchers have used a Monte Carlo health-state transition simulation to predict long-term outcomes for a hypothetical 10,000 patients in each of four CD4-count categories on care entry: ≤200, 201–350, 351–500, and 501–900 cells/mm3. They assumed that a patient entering care at a CD4 count >500 cells/mm3 would not initiate antiretroviral therapy (ART) until the count decreased to 500 cells/mm3 and that all patients would remain in continuous care. The cost of care (in 2011 U.S. dollars, discounted by 3%) was based on published data, with the model estimating years until AIDS onset, life expectancy, duration of sequential…