Faculty Bibliography

BACKGROUND:The diagnosis of posttraumatic stress disorder (PTSD) is usually based on clinical interviews or self-report measures. Both approaches are subject to under- and over-reporting of symptoms. An objective test is lacking. We have developed a classifier of PTSD based on objective speech-marker features that discriminate PTSD cases from controls. METHODS:Speech samples were obtained from warzone-exposed veterans, 52 cases with PTSD and 77 controls, assessed with the Clinician-Administered PTSD Scale. Individuals with major depressive disorder (MDD) were excluded. Audio recordings of clinical interviews were used to obtain 40,526 speech features which were input to a random forest (RF) algorithm. RESULTS:The selected RF used 18 speech features and the receiver operating characteristic curve had an area under the curve (AUC) of 0.954. At a probability of PTSD cut point of 0.423, Youden's index was 0.787, and overall correct classification rate was 89.1%. The probability of PTSD was higher for markers that indicated slower, more monotonous speech, less change in tonality, and less activation. Depression symptoms, alcohol use disorder, and TBI did not meet statistical tests to be considered confounders. CONCLUSIONS:This study demonstrates that a speech-based algorithm can objectively differentiate PTSD cases from controls. The RF classifier had a high AUC. Further validation in an independent sample and appraisal of the classifier to identify those with MDD only compared with those with PTSD comorbid with MDD is required.

Aim: Naltrexone is first-line pharmacotherapy for alcohol use disorders (AUD). Oral naltrexone (ONTX) is under-prescribed in primary care and possibly limited by poor adherence. Monthly injectable extended-release naltrexone (XR-NTX) may improve adherence and good clinical outcomes.
Method(s): This is a randomized, open-label, comparative effectiveness trial of 24 weeks of XR-NTX vs. O-NTX as AUD treatment in primary care at a public hospital in New York City. Adults (>18 yo) with AUD randomized to XR-NTX (380 mg/month) vs. O-NTX (50 mg/day) with Medical Management. Self-reported daily drinking recall informed the primary outcome, a Good Clinical Outcome (GCO) across weeks 5-24, defined as abstinence or moderate drinking and 0-2 days of heavy drinking per month. Data & Results: N = 237 adults randomized (n = 117 XR-NTX; n = 120 O-NTX); mean age 48.5 (SD 10.6); 71%male; 54%AA, 21% Hispanic; 41%employed. At baseline mean drinks/day were 9.6 (SD 11.6); 29% abstinent days; 61%heavy drinking days; mean Obsessive Compulsive Drinking Scale (OCDS) scores were 17.6 (SD 7.1) and mean AUDIT scores were 24.2 (SD 8.0). 64%of monthly XR-NTX injections were received and 67%ofmonthly O-NTX refills were provided. The primary GCO across weeks 5-24 was reported by 29%XR-NTX and 23%O-NTX (p = 0.29). Mean months with a GCO was 2.9 XR-NTX, 2.5 O-NTX (p = 0.21). Rates of%days abstinent (70%XRNTX vs. 71%O-NTX; p = 0.77) and %heavy drinking days (20%XR-NTX vs. 16%O-NTX; p = 0.28) were similar weeks 1-24. Mean blood pressure decreased from 127/86 mmHg at baseline to 124/83 mmHg at week 25; there was no change in mean weight (180 lb) pre/post, and there were no differences in BP or weight changes by arm. Declines in OCDS scores (17.6 to 7.6) were similar by arm.
Conclusion(s): Initiation and retention on both forms of naltrexone was robust. Overall, participants reported improved longitudinal drinking outcomes. There was insufficient evidence of any differences in primary and secondary self-reported drinking outcomes between monthly XR-NTX and daily ONTX. Additional analysis will examine CDT and LFT levels during treatment, and interactions with OPMR1 genotype status

BACKGROUND:Extended-release naltrexone (XR-NTX, Vivitrol®) and daily oral naltrexone tablets (O-NTX) are FDA-approved mu opioid receptor antagonist medications for alcohol dependence treatment. Despite the efficacy of O-NTX, non-adherence and poor treatment retention have limited its adoption into primary care. XR-NTX is a once-a-month injectable formulation that offers a potentially more effective treatment option in reducing alcohol consumption and heavy drinking episodes among persons with alcohol use disorders. METHODS:This pragmatic, open-label, randomized controlled trial examines the effectiveness of XR-NTX vs. O-NTX in producing a Good Clinical Outcome, defined as abstinence or moderate drinking (<2 drinks/day, men; <1 drink/day, women; and < 2 heavy drinking occasions/month) during the final 20 of 24 weeks of primary care-based Medical Management treatment for alcohol dependence. Secondary aims will estimate the cost effectiveness of XR-NTX vs. O-NTX, in conjunction with primary-care based Medical Management for both groups, and patient-level characteristics associated with effectiveness in both arms. Alcohol dependent persons are recruited from the community into treatment in a New York City public hospital primary care setting (Bellevue Hospital Center) for 24 weeks of either XR-NTX (n = 117) or O-NTX (n = 120). RESULTS:We describe the rationale, specific aims, design, and recruitment results to date. Alternative design considerations and secondary aims and outcomes are reported. CONCLUSIONS:XR-NTX treatment in a primary care setting is potentially more efficacious, feasible, and cost-effective than oral naltrexone when treating community-dwelling persons with alcohol use disorders. This study will estimate XR-NTX's treatment and cost effectiveness relative to oral naltrexone.

The original and corrected Acknowledgements are shown in the accompanying Author Correction

A timely determination of the risk of post-traumatic stress disorder (PTSD) is a prerequisite for efficient service delivery and prevention. We provide a risk estimate tool allowing a calculation of individuals' PTSD likelihood from early predictors. Members of the International Consortium to Predict PTSD (ICPP) shared individual participants' item-level data from ten longitudinal studies of civilian trauma survivors admitted to acute care centers in six countries. Eligible participants (N=2,473) completed an initial clinical assessment within 60 days of trauma exposure, and at least one follow-up assessment 4-15 months later. The Clinician-Administered PTSD Scale for DSM-IV (CAPS) evaluated PTSD symptom severity and diagnostic status at each assessment. Participants' education, prior lifetime trauma exposure, marital status and socio-economic status were assessed and harmonized across studies. The study's main outcome was the likelihood of a follow-up PTSD given early predictors. The prevalence of follow-up PTSD was 11.8% (9.2% for male participants and 16.4% for females). A logistic model using early PTSD symptom severity (initial CAPS total score) as a predictor produced remarkably accurate estimates of follow-up PTSD (predicted vs. raw probabilities: r=0.976). Adding respondents' female gender, lower education, and exposure to prior interpersonal trauma to the model yielded higher PTSD likelihood estimates, with similar model accuracy (predicted vs. raw probabilities: r=0.941). The current model could be adjusted for other traumatic circumstances and accommodate risk factors not captured by the ICPP (e.g., biological, social). In line with their use in general medicine, risk estimate models can inform clinical choices in psychiatry. It is hoped that quantifying individuals' PTSD risk will be a first step towards systematic prevention of the disorder.

Real-time functional magnetic resonance imaging (rt-fMRI) has revived the translational perspective of neurofeedback (NF)¹. Particularly for stress management, targeting deeply located limbic areas involved in stress processing² has paved new paths for brain-guided interventions. However, the high cost and immobility of fMRI constitute a challenging drawback for the scalability (accessibility and cost-effectiveness) of the approach, particularly for clinical purposes³. The current study aimed to overcome the limited applicability of rt-fMRI by using an electroencephalography (EEG) model endowed with improved spatial resolution, derived from simultaneous EEG-fMRI, to target amygdala activity (termed amygdala electrical fingerprint (Amyg-EFP))^4-6. Healthy individuals (n = 180) undergoing a stressful military training programme were randomly assigned to six Amyg-EFP-NF sessions or one of two controls (control-EEG-NF or NoNF), taking place at the military training base. The results demonstrated specificity of NF learning to the targeted Amyg-EFP signal, which led to reduced alexithymia and faster emotional Stroop, indicating better stress coping following Amyg-EFP-NF relative to controls. Neural target engagement was demonstrated in a follow-up fMRI-NF, showing greater amygdala blood-oxygen-level-dependent downregulation and amygdala-ventromedial prefrontal cortex functional connectivity following Amyg-EFP-NF relative to NoNF. Together, these results demonstrate limbic specificity and efficacy of Amyg-EFP-NF during a stressful period, pointing to a scalable non-pharmacological yet neuroscience-based training to prevent stress-induced psychopathology.

Aim: Naltrexone is first-line pharmacotherapy for alcohol use disorders (AUD). Oral naltrexone (ONTX) is under-prescribed in primary care and possibly limited by poor adherence. Monthly injectable extended-release naltrexone (XR-NTX) may improve rates of medication adherence, retention, good clinical outcomes (Aim 1), and cost savings (Aim 2). Methods: This is an on-going randomized, open-label, comparative effectiveness trial of 24 weeks of XR-NTX vs. O-NTX as AUD treatment in primary care at a public hospital in New York City. Adults (>18 yo) with a DSM-V diagnosis of AUD randomized to XR-NTX (380 mg/month) vs. O-NTX (50-100 mg/day).Medical Management visits occur biweekly (weeks 1-8), then monthly.Major research assessments occur at baseline, weeks 13, 25, 48. The primary outcome is a Good Clinical Outcome (GCO) across weeks 5-24: abstinence or moderate drinking and 0-2 days of heavy drinking per month. This preliminary, descriptive analysis presentsWeek 0-5 results among all participants. Results: N = 237 participants were randomized from 6/14-9/17: mean age 48.5 (SD = 10.6); 71% male; 54% AA, 21%Hispanic; 41% employed, 81%reported other lifetime substance use. Mean AUDIT scores (instrument range 0-40) at baseline: 24.2 (SD = 8.0); mean OCDS (range 0-40) scores 17.1 (SD = 8.1); mean drinks/day 9.6 (SD = 11.6) with 29%abstinent vs. 61% heavy drinking days. Medication induction was robust, 115 of 117 (98.2%) initiating XR-NTX and 120 (100%) filled or received an initial O-NTX prescription. The GCO was reported by 41%XR-NTX and 47%ONTX atWeek 5. DuringWeek 1-5, mean drinks/day were 3.1 (SD = 6.1), 63% abstinent/22%heavy drinking days for XR-NTX; 2.4 (SD = 4.03), 61%abstinent/22%heavy drinking days for O-NTX. 62%received XR-NTX injection #2 and 67%received O-NTXmonthly refill #2. Adherence self-report for O-NTX at Week 5 indicated moderate average daily adherence,MMAS-8 mean (range <6 low, 6 to <8 moderate, =8 high) score 6.13 (SD = 3.02). Conclusion: This on-going XR vs. oral naltrexone alcohol primary care treatment trial recruited a primarily male, unemployed, ethnic minority adult population. Initial acceptance of both XR and ONTX was high. Primary outcomes will focus on drinking reductions and cost and value comparisons during weeks 5-24

Background: Understanding the development of post-traumatic stress disorder (PTSD) is a precondition for efficient risk assessment and prevention planning. Studies to date have been site and sample specific. Towards developing generalizable models of PTSD development and prediction, the International Consortium to Predict PTSD (ICPP) compiled data from 13 longitudinal, acute-care based PTSD studies performed in six different countries. Objective: The objectives of this study were to describe the ICPP's approach to data pooling and harmonization, and present cross-study descriptive results informing the longitudinal course of PTSD after acute trauma. Methods: Item-level data from 13 longitudinal studies of adult civilian trauma survivors were collected. Constructs (e.g. PTSD, depression), measures (questions or scales), and time variables (days from trauma) were identified and harmonized, and those with inconsistent coding (e.g. education, lifetime trauma exposure) were recoded. Administered in 11 studies, the Clinician Administered PTSD Scale (CAPS) emerged as the main measure of PTSD diagnosis and severity. Results: The pooled data set included 6254 subjects (39.9% female). Studies' average retention rate was 87.0% (range 49.1-93.5%). Participants' baseline assessments took place within 2 months of trauma exposure. Follow-up durations ranged from 188 to 1110 days. Reflecting studies' inclusion criteria, the prevalence of baseline PTSD differed significantly between studies (range 3.1-61.6%), and similar differences were observed in subsequent assessments (4.3-38.2% and 3.8-27.0% for second and third assessments, respectively). Conclusion: Pooling data from independently collected studies requires careful curation of individual data sets for extracting and optimizing informative commonalities. However, it is an important step towards developing robust and generalizable prediction models for PTSD and can exceed findings of single studies. The large differences in prevalence of PTSD longitudinally cautions against using any individual study to infer trauma outcome. The multiplicity of instruments used in individual studies emphasizes the need for common data elements in future studies.

Cerebrospinal fluid (CSF) studies consistently show that CSF levels of amyloid-beta 1-42 (Aβ42) are reduced and tau levels increased prior to the onset of cognitive decline related to Alzheimer's disease (AD). However, the preclinical prediction accuracy for low CSF Aβ42 levels, a surrogate for brain Aβ42 deposits, is not high. Moreover, the pathology data suggests a course initiated by tauopathy contradicting the contemporary clinical view of an Aβ initiated cascade. CSF Aβ42 and tau data from 3 normal aging cohorts (45-90 years) were combined to test both cross-sectional (n = 766) and longitudinal (n = 651) hypotheses: 1) that the relationship between CSF levels of Aβ42 and tau are not linear over the adult life-span; and 2) that non-linear models improve the prediction of cognitive decline. Supporting the hypotheses, the results showed that a u-shaped quadratic fit (Aβ2) best describes the relationship for CSF Aβ42 with CSF tau levels. Furthermore we found that the relationship between Aβ42 and tau changes with age-between 45 and 70 years there is a positive linear association, whereas between 71 and 90 years there is a negative linear association between Aβ42 and tau. The quadratic effect appears to be unique to Aβ42, as Aβ38 and Aβ40 showed only positive linear relationships with age and CSF tau. Importantly, we observed the prediction of cognitive decline was improved by considering both high and low levels of Aβ42. Overall, these data suggest an earlier preclinical stage than currently appreciated, marked by CSF elevations in tau and accompanied by either elevations or reductions in Aβ42. Future studies are needed to examine potential mechanisms such as failing CSF clearance as a common factor elevating CSF Aβxx analyte levels prior to Aβ42 deposition in brain.