Effect of a Motivational Interviewing–Based Intervention on Initiation of Mental Health Treatment and Mental Health After an Emergency Department Visit Among Suicidal Adolescents

Abstract IMPORTANCE Emergency department (ED) visits present opportunities to identify and refer suicidal youth for outpatient mental health care, although this practice is not routine. OBJECTIVE To examine whether a motivational interviewing–based intervention increases linkage of adolescents to outpatient mental health services and reduces depression symptoms and suicidal ideation in adolescents seeking emergency care for non–mental health–related concerns who screen positive for suicide risk. DESIGN, SETTING, AND PARTICIPANTS In this randomized clinical trial, adolescents aged 12 to 17 years who screened positive on the Ask Suicide Screening Questions (ASQ) during a nonpsychiatric ED visit at 2 academic pediatric EDs in Ohio were recruited from April 2013 to July 2015. Intention-totreat analyses were performed from September 2018 to October 2019. INTERVENTIONS The Suicidal Teens Accessing Treatment After an Emergency Department Visit (STAT-ED) intervention included motivational interviewing to target family engagement, problem solving, referral assistance, and limited case management. The enhanced usual care (EUC) intervention consisted of brief mental health care consultation and referral. MAIN OUTCOMES AND MEASURES Primary outcomes were mental health treatment initiation and attendance within 2 months of ED discharge and suicidal ideation (assessed by the Suicidal Ideation Questionnaire JR) and depression symptoms (assessed by the Center for Epidemiologic Studies– Depression scale) at 2 and 6 months. Exploratory outcomes included treatment initiation and attendance and suicide attempts at 6 months. RESULTS A total of 168 participants were randomized and 159 included in the intention-to-treat analyses (mean [SD] age, 15.0 [1.5] years; 126 [79.2%] female; and 80 [50.3%] white). Seventy-nine participants were randomized to receive the STAT-ED intervention and 80 to receive EUC. At 2 months, youth in the STAT-ED group had similar rates of mental health treatment initiation compared with youth in the EUC group as assessed by parent report (29 [50.9%] vs 22 [34.9%]; adjusted odds ratio [OR], 2.08; 95% CI, 0.97-4.45) and administrative data from mental health care agencies (19 [29.7%] vs 11 [19.3%]; adjusted OR, 1.77; 95% CI, 0.76-4.15). At 2 months, youth in the STAT-ED group and the EUC group had similar rates of treatment attendance (1 appointment: 6 [9.7%] vs 2 [3.6%]; adjusted OR, 2.97; 95% CI, 0.56-15.73; 2 appointments: 10 [16.1%] vs 7 [12.7%]; adjusted OR, 1.43; 95% CI, 0.50-4.11). There were no significant group × time differences in suicidal ideation (F = 0.28; P = .72) and depression symptoms (F = 0.49; P = .60) during the 6-month follow-up period. In exploratory analyses, at 6 months, STAT-ED participants had significantly higher rates of agencyreported mental health treatment initiation (adjusted OR, 2.48; 95% CI, 1.16-5.28) and more completed appointments (t99.7 = 2.58; P = .01). CONCLUSIONS AND RELEVANCE This study’s findings indicate that no differences were found on any primary outcome by study condition. However, STAT-ED was more efficacious than EUC at increasing mental health treatment initiation and attendance at 6 months. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT01779414 JAMA Network Open. 2019;2(12):e1917941. doi:10.1001/jamanetworkopen.2019.1794

A multidisciplinary consensus on the morphological and functional responses to immunotherapy treatment

The implementation of immunotherapy has radically changed the treatment of oncological patients. Currently, immunotherapy is indicated in the treatment of patients with head and neck tumors, melanoma, lung cancer, bladder tumors, colon cancer, cervical cancer, breast cancer, Merkel cell carcinoma, liver cancer, leukemia and lymphomas. However, its efficacy is restricted to a limited number of cases. The challenge is, therefore, to identify which subset of patients would benefit from immunotherapy. To this end, the establishment of immunotherapy response criteria and predictive and prognostic biomarkers is of paramount interest. In this report, a group of experts of the Spanish Society of Medical Oncology (SEOM), the Spanish Society of Medical Radiology (SERAM), and Spanish Society of Nuclear Medicine and Molecular Imaging (SEMNIM) provide an up-to-date review and a consensus guide on these issues

Re-defining response and treatment effects for neuro-oncology immunotherapy clinical trials

In much of medical oncology, including neuro-oncology, there is great interest to evaluate the therapeutic potential of immune-based therapies including vaccines, adoptive T cell strategies and modulators of immune checkpoint regulators such as cytotoxic T lymphocyte antigen 4 and programmed death 1. Immune-based treatments exert an indirect anti-tumor effect by generating potent, tumor-targeting immune responses. Robust anti-tumor immune responses have been shown to achieve encouraging radiographic responses across the spectrum of applied immunotherapeutics which are felt to be indicative of a bona fide anti-tumor effect. Conversely, worsening of imaging findings, particularly early in the course of immunotherapy administration, can be challenging to interpret with growing evidence demonstrating that at least a subset of such patients ultimately will derive meaningful clinical benefit. The immune related response criteria were generated to provide guidance regarding the interpretation of such complex imaging findings, for general medical oncologists prescribing immunotherapeutics. An analogous effort that addresses challenges associated with imaging assessment and incorporates nuances associated with neuro-oncology patients is underway and is referred to as the immunotherapy response assessment in neuro-oncology criteria

Computer-Assisted Fluoroscopic Navigation for Orthopaedic Surgery

In the absence of computer-assistance, orthopaedic surgeons frequently rely on a challenging interpretation of fluoroscopy for intraoperative guidance. Existing computer-assisted navigation systems forgo this mental process and obtain accurate information of visually obstructed objects through the use of 3D imaging and additional intraoperative sensing hardware. This information is attained at the expense of increased invasiveness to patients and surgical workflows. Patients are exposed to large amounts of ionizing radiation during 3D imaging and undergo additional, and larger, incisions in order to accommodate navigational hardware. Non-standard equipment must be present in the operating room and time-consuming data collections must be conducted intraoperatively. Using periacetabular osteotomy (PAO) as the motivating clinical application, this dissertation introduces methods for computer-assisted fluoroscopic navigation of orthopaedic surgery, while remaining minimally invasive to both patients and surgical workflows. Partial computed tomography (CT) of the pelvis is obtained preoperatively, and surface models of the entire pelvis are reconstructed using a combination of thin plate splines and a statistical model of pelvis anatomy. Intraoperative navigation is implemented through a 2D/3D registration pipeline, between 2D fluoroscopy and the 3D patient models. This pipeline solely relies on patient anatomy to recover the relative motion of the fluoroscopic imager, without any introduction of external objects. PAO bone fragment poses are computed with respect to an anatomical coordinate frame and are used to intraoperatively assess acetabular coverage of the femoral head. Convolutional neural networks perform semantic segmentation and detect anatomical landmarks in fluoroscopy, allowing for automation of the registration pipeline. Real-time tracking of PAO fragments is enabled through the intraoperative injection of BBs into the pelvis; fragment poses are automatically estimated from a single view in less than one second. A combination of simulated and cadaveric surgeries was used to design and evaluate the proposed methods. Compared to existing systems, the techniques developed in this thesis are designed to be less invasive to patients, compatible with minimally invasive approaches, and minimize interference to surgical workflows