Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning.

There are significant challenges to identifying which individuals require intervention following exposure to trauma, and a need for strategies to identify and provide individuals at risk for developing PTSD with timely interventions. The present study seeks to identify a minimal set of trauma-related symptoms, assessed during the weeks following traumatic exposure, that can accurately predict PTSD. Participants were 2185 adults (Mean age=36.4 years; 64% women; 50% Black) presenting for emergency care following traumatic exposure. Participants received a 'flash survey' with 6-8 varying symptoms (from a pool of 26 trauma symptoms) several times per week for eight weeks following the trauma exposure (each symptom assessed ∼6 times). Features (mean, sd, last, worst, peak-end scores) from the repeatedly assessed symptoms were included as candidate variables in a CART machine learning analysis to develop a pragmatic predictive algorithm. PTSD (PCL-5 ≥38) was present for 669 (31%) participants at the 8-week follow-up. A classification tree with three splits, based on mean scores of nervousness, rehashing, and fatigue, predicted PTSD with an Area Under the Curve of 0.836. Findings suggest feasibility for a 3-item assessment protocol, delivered once per week, following traumatic exposure to assess and potentially facilitate follow-up care for those at risk.

Utility of Wrist-Wearable Data for Assessing Pain, Sleep, and Anxiety Outcomes After Traumatic Stress Exposure.

Importance: Adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure are common and have higher incidence among socioeconomically disadvantaged populations. Pain, depression, avoidance of trauma reminders, reexperiencing trauma, anxiety, hyperarousal, sleep disruption, and nightmares have been reported. Wrist-wearable devices with accelerometers capable of assessing 24-hour rest-activity characteristics are prevalent and may have utility in measuring these outcomes. Objective: To evaluate whether wrist-wearable devices can provide useful biomarkers for recovery after traumatic stress exposure. Design, Setting, and Participants: Data were analyzed from a diverse cohort of individuals seen in the emergency department after experiencing a traumatic stress exposure, as part of the Advancing Understanding of Recovery After Trauma (AURORA) study. Participants recruited from 27 emergency departments wore wrist-wearable devices for 8 weeks, beginning in the emergency department, and completed serial assessments of neuropsychiatric symptoms. A total of 19 019 patients were screened. Of these, 3040 patients met study criteria, provided informed consent, and completed baseline assessments. A total of 2021 provided data from wrist-wearable devices, completed the 8-week assessment, and were included in this analysis. The data were randomly divided into 2 equal parts (n = 1010) for biomarker identification and validation. Data were collected from September 2017 to January 2020, and data were analyzed from May 2020 to November 2022. Exposures: Participants were recruited for the study after experiencing a traumatic stress exposure (most commonly motor vehicle collision). Main Outcomes and Measures: Rest-activity characteristics were derived and validated from wrist-wearable devices associated with specific self-reported symptom domains at a point in time and changes in symptom severity over time. Results: Of 2021 included patients, 1257 (62.2%) were female, and the mean (SD) age was 35.8 (13.0) years. Eight wrist-wearable device biomarkers for symptoms of adverse posttraumatic neuropsychiatric sequelae exceeded significance thresholds in the derivation cohort. One of these, reduced 24-hour activity variance, was associated with greater pain severity (r = -0.14; 95% CI, -0.20 to -0.07). Changes in 6 rest-activity measures were associated with changes in pain over time, and changes in the number of transitions between sleep and wake over time were associated with changes in pain, sleep, and anxiety. Simple cutoffs for these biomarkers identified individuals with good recovery for pain (positive predictive value [PPV], 0.85; 95% CI, 0.82-0.88), sleep (PPV, 0.63; 95% CI, 0.59-0.67, and anxiety (PPV, 0.76; 95% CI, 0.72-0.80) with high predictive value. Conclusions and Relevance: These findings suggest that wrist-wearable device biomarkers may have utility as screening tools for pain, sleep, and anxiety symptom outcomes after trauma exposure in high-risk populations.

The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols.

The ILHBN is funded by the National Institutes of Health to collaboratively study the interactive dynamics of behavior, health, and the environment using Intensive Longitudinal Data (ILD) to (a) understand and intervene on behavior and health and (b) develop new analytic methods to innovate behavioral theories and interventions. The heterogenous study designs, populations, and measurement protocols adopted by the seven studies within the ILHBN created practical challenges, but also unprecedented opportunities to capitalize on data harmonization to provide comparable views of data from different studies, enhance the quality and utility of expensive and hard-won ILD, and amplify scientific yield. The purpose of this article is to provide a brief report of the challenges, opportunities, and solutions from some of the ILHBN's cross-study data harmonization efforts. We review the process through which harmonization challenges and opportunities motivated the development of tools and collection of metadata within the ILHBN. A variety of strategies have been adopted within the ILHBN to facilitate harmonization of ecological momentary assessment, location, accelerometer, and participant engagement data while preserving theory-driven heterogeneity and data privacy considerations. Several tools have been developed by the ILHBN to resolve challenges in integrating ILD across multiple data streams and time scales both within and across studies. Harmonization of distinct longitudinal measures, measurement tools, and sampling rates across studies is challenging, but also opens up new opportunities to address cross-cutting scientific themes of interest.

Health behavior changes, such as prevention of suicidal thoughts and behaviors, smoking, drug use, and alcohol use; and the promotion of mental health, sleep, and physical activities, and decreases in sedentary behavior, are difficult to sustain. The ILHBN is a cooperative agreement network funded jointly by seven participating units within the National Institutes of Health to collaboratively study how factors that occur in individuals' everyday life and in their natural environment influence the success of positive health behavior changes. This article discusses how information collected using smartphones, wearables, and other devices can provide helpful active and passive reflections of the participants' extent of risk and resources at the moment for an extended period of time. However, successful engagement and retention of participants also require tailored adaptations of study designs, measurement tools, measurement intervals, study span, and device choices that create hurdles in integrating (harmonizing) data from multiple studies. We describe some of the challenges, opportunities, and solutions that emerged from harmonizing intensive longitudinal data under heterogeneous study and participant characteristics within the ILHBN, and share some tools and recommendations to facilitate future data harmonization efforts.

Patient- and practice-related determinants of emergency department length of stay for patients with psychiatric illness.

STUDY OBJECTIVE: To identify patient and clinical management factors related to emergency department (ED) length of stay for psychiatric patients. METHODS: This was a prospective study of 1,092 adults treated at one of 5 EDs between June 2008 and May 2009. Regression analyses were used to identify factors associated with ED length of stay and its 4 subcomponents. Secondary analyses considered patients discharged to home and those who were admitted or transferred separately. RESULTS: The overall mean ED length of stay was 11.5 hours (median 8.2 hours). ED length of stay varied by discharge disposition, with patients discharged to home staying 8.6 hours (95% confidence interval 7.7 to 9.5 hours) and patients transferred to a hospital outside the system of care staying 15 hours (95% confidence interval 12.7 to 17.6 hours) on average. Older age and being uninsured were associated with increased ED length of stay, whereas race, sex, and homelessness had no association. Patients with a positive toxicology screen result for alcohol stayed an average of 6.2 hours longer than patients without toxicology screens, an effect observed primarily in the periods before disposition decision. Diagnostic imaging was associated with an average 3.2-hour greater length of stay, prolonging both early and late components of the ED stay. Restraint use had a similar effect, leading to a length of stay 4.2 hours longer than that of patients not requiring restraints. CONCLUSION: Psychiatric patients spent more than 11 hours in the ED on average when seeking care. The need for hospitalization, restraint use, and the completion of diagnostic imaging had the greatest effect on postassessment boarding time, whereas the presence of alcohol on toxicology screening led to delays earlier in the ED stay. Identification and sharing of best practices associated with each of these factors would provide an opportunity for improvement in ED care for this population.

Characteristics of adult psychiatric patients with stays of 24 hours or more in the emergency department.

OBJECTIVE: This study identified characteristics of adult psychiatric patients who remained for 24 or more hours in the emergency departments of general hospitals in Massachusetts. METHODS: Data were collected starting in June 2008 on a prospective cohort of 1,076 patients who presented for emergency psychiatric evaluation at one of five hospitals. RESULTS: A total of 90 patients (8%) stayed 24 or more hours (median=31 hours). More than 90% (N=1,018) of all patients had health insurance. Characteristics associated with extended stays included homelessness, transfer to another hospital, public insurance, and use of restraints or sitters (p<.05). The two academic medical centers had higher proportions of extended-stay patients than the three community hospitals (12% and 15% versus 1%, 7%, and 7%, respectively; p<.001). CONCLUSIONS: Despite overall high rates of health insurance coverage, publicly insured patients waited longer than those with private insurance. Future reforms of Massachusetts' mandatory health insurance program should consider treatment capacity as well.

Prospective assessment of stereotactic ablative surgery for intractable major depression.

BACKGROUND: Despite therapeutic advances for major depression, a subset of patients with this disorder does not respond to conventional treatment. Stereotactic ablative procedures such as anterior cingulotomy have been performed in severely affected, treatment-resistant patients, but the long-term results of such procedures are not fully understood. METHODS: Findings are reported for 33 patients with severe treatment-resistant major depression who underwent ablative stereotactic procedures (dorsal anterior cingulotomy followed if necessary by subcaudate tractotomy). Preoperative and long-term postoperative Beck Depression Inventory scores were obtained along with postoperative Clinical Global Improvement values. Both were analyzed to evaluate patients' responses to the surgical procedure(s). RESULTS: At mean follow-up of 30 months after one or more stereotactic ablative procedures, 11 patients (33.3%) were classified as responders, 14 (42.4%) were partial responders, and 8 (24.2%) did not respond to the surgical procedure(s). Among those (17) who underwent only one procedure, seven (41.2%) responded, whereas six (35.3%) and four (23.5%) showed partial or no response, respectively. Among patients who required multiple surgical procedures, four patients (25%) responded, whereas eight (50%) and four (25%) patients demonstrated partial or no responses, respectively, at long-term follow-up evaluations. CONCLUSIONS: Approximately 75% of depression patients previously resistant to antidepressant therapies received partial or substantial benefit from stereotactic ablative procedures. Those requiring only a single anterior cingulotomy tended to demonstrate more pronounced responses than patients who underwent multiple surgical procedures.