Despite advances in antiretroviral treatment (ART), human immunodeficiency virus (HIV) can detrimentally affect everyday functioning. Neurocognitive impairment (NCI) and current depression are common in people with HIV (PWH) and can contribute to poor functional outcomes, but potential synergies between the two conditions are less understood. Thus, the present study aimed to compare the independent and combined effects of NCI and depression on everyday functioning in PWH. We predicted worse functional outcomes with comorbid NCI and depression than either condition alone.

PWH enrolled at the UCSD HIV Neurobehavioral Research Program were assessed for neuropsychological performance, depression severity (≤minimal, mild, moderate, or severe; Beck Depression Inventory-II), and self-reported everyday functioning.

Participants were 1,973 PWH (79% male; 66% racial/ethnic minority; Age: M = 48.6; Education: M = 13.0, 66% AIDS; 82% on ART; 42% with NCI; 35% BDI>13). ANCOVA models found effects of NCI and depression symptom severity on all functional outcomes (ps < .0001). With NCI and depression severity included in the same model, both remained significant (ps < .0001), although the effects of each were attenuated, and yielded better model fit parameters (i.e., lower AIC values) than models with only NCI or only depression.

Consistent with prior literature, NCI and depression had independent effects on everyday functioning in PWH. There was also evidence for combined effects of NCI and depression, such that their comorbidity had a greater impact on functioning than either alone. Our results have implications for informing future interventions to target common, comorbid NCI and depressed mood in PWH and thus reduce HIV-related health disparities.

A clinical tool to estimate the risk of treatment-resistant schizophrenia (TRS) in people with first-episode psychosis (FEP) would inform early detection of TRS and overcome the delay of up to 5 years in starting TRS medication.

To develop and evaluate a model that could predict the risk of TRS in routine clinical practice.

We used data from two UK-based FEP cohorts (GAP and AESOP-10) to develop and internally validate a prognostic model that supports identification of patients at high-risk of TRS soon after FEP diagnosis. Using sociodemographic and clinical predictors, a model for predicting risk of TRS was developed based on penalised logistic regression, with missing data handled using multiple imputation. Internal validation was undertaken via bootstrapping, obtaining optimism-adjusted estimates of the model's performance. Interviews and focus groups with clinicians were conducted to establish clinically relevant risk thresholds and understand the acceptability and perceived utility of the model.

We included seven factors in the prediction model that are predominantly assessed in clinical practice in patients with FEP. The model predicted treatment resistance among the 1081 patients with reasonable accuracy; the model's C-statistic was 0.727 (95% CI 0.723–0.732) prior to shrinkage and 0.687 after adjustment for optimism. Calibration was good (expected/observed ratio: 0.999; calibration-in-the-large: 0.000584) after adjustment for optimism.

We developed and internally validated a prediction model with reasonably good predictive metrics. Clinicians, patients and carers were involved in the development process. External validation of the tool is needed followed by co-design methodology to support implementation in early intervention services.

To determine whether poorer performance on the Boston Naming Test (BNT) in individuals with transactive response DNA-binding protein 43 pathology (TDP-43+) is due to greater loss of word knowledge compared to retrieval-based deficits.

Retrospective clinical-pathologic study of 282 participants with Alzheimer’s disease neuropathologic changes (ADNC) and known TDP-43 status. We evaluated item-level performance on the 60-item BNT for first and last available assessment. We fit cross-sectional negative binomial count models that assessed total number of incorrect items, number correct of responses with phonemic cue (reflecting retrieval difficulties), and number of “I don’t know” (IDK) responses (suggestive of loss of word knowledge) at both assessments. Models included TDP-43 status and adjusted for sex, age, education, years from test to death, and ADNC severity. Models that evaluated the last assessment adjusted for number of prior BNT exposures.

43% were TDP-43+. The TDP-43+ group had worse performance on BNT total score at first (p = .01) and last assessments (p = .01). At first assessment, TDP-43+ individuals had an estimated 29% (CI: 7%–56%) higher mean number of incorrect items after adjusting for covariates, and a 51% (CI: 15%–98%) higher number of IDK responses compared to TDP-43−. At last assessment, compared to TDP-43−, the TDP-43+ group on average missed 31% (CI: 6%–62%; p = .01) more items and had 33% more IDK responses (CI: 1% fewer to 78% more; p = .06).

An important component of poorer performance on the BNT in participants who are TDP-43+ is having loss of word knowledge versus retrieval difficulties.

Under-resourced communities face disaster preparedness challenges. Research is limited for resettled refugee communities, which have unique preparedness needs.

This study aims to assess disaster preparedness among the refugee community in Clarkston, GA.

Twenty-five semi-structured interviews were completed with community stakeholders. Convenience sampling using the snowball method was utilized until thematic saturation was reached. Thematic analysis of interviews was conducted through an inductive, iterative approach by a multidisciplinary team using manual coding and MAXQDA.

Three themes were identified: First, prioritization of routine daily needs took precedence for families over disaster preparedness. Second, communication impacts preparedness. Community members speak different languages and often do not have proficiency in English. Access to resources in native languages and creative communication tactics are important tools. Finally, the study revealed a unique interplay between government, community-based organizations, and the refugee community. A web of formal and informal responses is vital to helping this community in times of need.

The refugee community in Clarkston, GA faces challenges, and disaster preparedness may not be top of mind for them. However, clear communication, disaster preparedness planning, and collaboration between government, community-based organizations, and the community are possible areas to focus on to bolster readiness.

1. (1) To recognise and understand the development of PTSD following childbirth and baby loss.

2. (2) To understand how Ehlers and Clark’s (2000) cognitive model of PTSD can be applied to post-partum PTSD.

3. (3) To be able to apply cognitive therapy for PTSD to patients with perinatal PTSD, including traumatic baby loss through miscarriage or birth.

4. (4) To discover common personal meanings associated with birth trauma and baby loss and the steps to update them.