Rates of self-reported adherence were relatively high and were influenced by multiple child and family characteristics. These findings identify targets for adherence interventions and highlight the importance of evaluating and supporting the family environment to optimize adherence.

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Background The influence of disease severity on cognitive and adaptive functioning in perinatally infected youth with (PHIV+/C) and without (PHIV+/NoC) a previous AIDS-defining illness (CDC Class C event), compared to perinatally exposed but uninfected youth (PHEU) is not well understood. Methods This was a cross-sectional analysis of cognitive and adaptive functioning in PHIV+/C (n=88), PHIV+/NoC (n=270), and PHEU (n=200) youth aged 7 to 16 years, from a multi-site prospective cohort study. Youth and caregivers completed the Wechsler Intelligence Scale for Children (WISC-IV) and the Adaptive Behavior Assessment System (ABAS-II) respectively. We compared means and rates of impairment between groups, and examined associations with other psychosocial factors. Results Overall mean scores on measures of cognitive and adaptive functioning were in the low average range for all three groups. After adjustment for covariates, mean full scale IQ (FSIQ) scores were significantly lower for the PHIV+/C group than the PHIV+/NoC and PHEU groups (mean=77.8 vs 83.4 and 83.3, respectively), while no significant differences were observed between the PHEU and PHIV+/NoC groups in any domain. Lower cognitive performance for the PHIV+/C group was primarily attributable to a prior diagnosis of encephalopathy. No significant differences between groups were observed in adaptive functioning. Conclusion For long-term survivors, youth with HIV infection and a prior CDC class C event have higher risk for cognitive but not adaptive impairment regardless of current health status; this finding appears attributable to a previous diagnosis of encephalopathy. Early preventive therapy may be critical in reducing risk of later neurodevelopmental impairments.

Traumatic brain injury (TBI) is a leading cause of sustained impairment in military and civilian populations. However, mild (and some moderate) TBI can be difficult to diagnose due to lack of obvious external injuries and because the injuries are often not visible on conventional acute MRI or CT. Injured brain tissues in TBI patients generate pathological low-frequency neuronal magnetic signal (delta waves 1-4 Hz) that can be measured and localized by magnetoencephalography (MEG). We hypothesize that abnormal MEG delta waves originate from gray matter neurons that experience de-afferentation due to axonal injury to the underlying white matter fiber tracts, which is manifested on diffusion tensor imaging (DTI) as reduced fractional anisotropy. The present study used a neuroimaging approach integrating findings of magnetoencephalography (MEG) and diffusion tensor imaging (DTI), evaluating their utility in diagnosing mild TBI in 10 subjects in whom conventional CT and MRI showed no visible lesions in 9. The results show: (1) the integrated approach with MEG and DTI is more sensitive than conventional CT and MRI in detecting subtle neuronal injury in mild TBI; (2) MEG slow waves in mild TBI patients originate from cortical gray matter areas that experience de-afferentation due to axonal injuries in the white matter fibers with reduced fractional anisotropy; (3) findings from the integrated imaging approach are consistent with post-concussive symptoms; (4) in some cases, abnormal MEG delta waves were observed in subjects without obvious DTI abnormality, indicating that MEG may be more sensitive than DTI in diagnosing mild TBI.