Stability of hippocampal subfield volumes after trauma and relationship to development of PTSD symptoms.

BACKGROUND: The hippocampus plays a central role in post-traumatic stress disorder (PTSD) pathogenesis, and the majority of neuroimaging research on PTSD has studied the hippocampus in its entirety. Although extensive literature demonstrates changes in hippocampal volume are associated with PTSD, fewer studies have probed the relationship between symptoms and the hippocampus' functionally and structurally distinct subfields. We utilized data from a longitudinal study examining post-trauma outcomes to determine whether hippocampal subfield volumes change post-trauma and whether specific subfields are significantly associated with, or prospectively related to, PTSD symptom severity. As a secondary aim, we leveraged our unique study design sample to also investigate reliability of hippocampal subfield volumes using both cross-sectional and longitudinal pipelines available in FreeSurfer v6.0. METHODS: Two-hundred and fifteen traumatically injured individuals were recruited from an urban Emergency Department. Two-weeks post-injury, participants underwent two consecutive days of neuroimaging (time 1: T1, and time 2: T2) with magnetic resonance imaging (MRI) and completed self-report assessments. Six-months later (time 3: T3), participants underwent an additional scan and were administered a structured interview assessing PTSD symptoms. First, we calculated reliability of hippocampal measurements at T1 and T2 (automatically segmented with FreeSurfer v6.0). We then examined the prospective (T1 subfields) and cross-sectional (T3 subfields) relationship between volumes and PTSD. Finally, we tested whether change in subfield volumes between T1 and T3 explained PTSD symptom variability. RESULTS: After controlling for sex, age, and total brain volume, none of the subfield volumes (T1) were prospectively related to T3 PTSD symptoms nor were subfield volumes (T3) associated with current PTSD symptoms (T3). Tl - T2 reliability of all hippocampal subfields ranged from good to excellent (intraclass correlation coefficient (ICC) values > 0.83), with poorer reliability in the hippocampal fissure. CONCLUSION: Our study was a novel examination of the prospective relationship between hippocampal subfield volumes in relation to PTSD in a large trauma-exposed urban sample. There was no significant relationship between subfield volumes and PTSD symptoms, however, we confirmed FreeSurfer v6.0 hippocampal subfield segmentation is reliable when applied to a traumatically-injured sample, using both cross-sectional and longitudinal analysis pipelines. Although hippocampal subfield volumes may be an important marker of individual variability in PTSD, findings are likely conditional on the timing of the measurements (e.g. acute or chronic post-trauma periods) and analysis strategy (e.g. cross-sectional or prospective).

Completeness and concordance of TB and HIV surveillance systems for TB-HIV co-infected patients in South Africa.

SETTING: South Africa currently maintains separate surveillance systems for tuberculosis (TB) and human immunodeficiency virus (HIV). There are future plans for integration of these systems; however, the consistency of information across the existing systems has not previously been assessed. OBJECTIVE: To determine the completeness and concordance of data in the TB and HIV surveillance systems for TB-HIV co-infected patients. DESIGN: In a retrospective cohort evaluation of the records of TB-HIV co-infected patients in the Eden District of the Western Cape, data were abstracted from paper-based and electronic TB and HIV surveillance sources. Concordance was measured using Fleiss' kappa coefficient. RESULTS: Demographic variables had high completeness and concordance across the TB and HIV systems. Completeness and concordance for clinical variables was somewhat lower, particularly for TB variables in the HIV systems and HIV variables in the TB systems. CONCLUSION: Varying levels of completeness and concordance of surveillance data for TB-HIV co-infected patients highlight challenges in the current TB and HIV surveillance systems. Future integration of TB and HIV programs in this region will need to support more accurate data collection at all levels.