Crunching numbers to save lives around the world.
Support mathematical modelling at Burnet and help save lives around the world.
Support mathematical modelling at Burnet and help save lives around the world.
Support mathematical modelling at Burnet and help save lives around the world.
Support mathematical modelling at Burnet and help save lives around the world.
Food insecurity is highly prevalent in HIV-infected populations, and analyses utilizing multiple assessments of food security to predict CD4 change are lacking. Five hundred Ninety-two patients with >/= 4 food security assessments were followed prospectively. In the final model, for patients using antiretroviral therapy, increases in CD4 counts were on average 99.5 cells less for individuals with at least 1 episode of food insecurity compared with those consistently food secure (P < 0.001). Other sociodemographic factors were not predictive. Repeated assessments of food security are potent predictors of treatment response notwithstanding antiretroviral therapy use. Potential mechanisms for this association are proposed.