CAPS-5-R
Diagnostic TestA semi-structured clinical interview to assess core PTSD symptoms for diagnosis and severity rating.
Other names: Clinician-Administered Scale for PTSD for DSM-5, Revised version
NCT Number: NCT05717439
The aim of this study is to obtain data on the feasibility of the Senseye Diagnostic Tool (DT) to assess the presence and severity of post-traumatic stress disorder (PTSD) symptoms. The study will also collect data on Generalized Anxiety Disorder (GAD) and Major Depressive Disorder (MDD) to aid in assessing the presence and severity of these disorders both for the purpose of discerning them from PTSD and determining the feasibility of diagnosing them independently.
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Notify Me18 year and older
All sexes
Observational
University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
This clinical study will be conducted to inform and train the Senseye DT's machine learning algorithm, to be evaluated in a future study for effectiveness in identifying people with PTSD compared to the Clinician-Administered PTSD Scale for DSM-5, revised version (CAPS-5-R) assessment. The Senseye DT is designed to utilize video data captured from a subject's eyes while they are presented various visual stimuli to extract ocular metrics (i.e., pupil size, gaze pattern, etc.) and heart rate data and use this information to detect the presence and severity of PTSD. Due to the overlapping symptomatology between PTSD, GAD, and MDD and common elements of ANS abnormalities (e.g., hyperarousal in both PTSD and GAD), it is necessary for the Senseye DT's specificity to discern between PTSD, GAD and MDD. This study is therefore designed to fully assess the presence and severity of each of these disorders in subjects to ensure device specificity as well as to test the feasibility to diagnose and rate severity of these conditions.
The study will be divided into two concurrent phases:
Phase I will focus on assessing the presence of PTSD via Screening through Baseline Study Visits. The objective of this phase is to obtain an accurate baseline diagnosis and severity rating for PTSD using Standard of Care methods and to use the Senseye DT to obtain data necessary for the device to be trained to produce a PTSD diagnosis. Baseline diagnosis and severity of GAD and MDD will also be determined.
Phase II will focus on assessing the severity of PTSD symptoms over time, with the objective to collect data necessary to train the Senseye DT machine learning algorithm to accurately determine a subject's PTSD severity rating correlated to the CAPS-5-R. Phase II consists of follow-up time points of 4 weeks, 8 weeks, and 12 weeks, and assesses changes in PTSD since the baseline severity determined in Phase I. Changes in GAD and MDD from baseline will also be assessed.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A semi-structured clinical interview to assess core PTSD symptoms for diagnosis and severity rating.
Other names: Clinician-Administered Scale for PTSD for DSM-5, Revised version
Using a machine learning algorithm, Senseye DT will record a series of visual tasks, pupil light reflex, vascular function and heart rate measurement throughout.
Time frame: Baseline
The Senseye DT demonstrates a statistically significant difference (p<0.05) of ocular signal and/or heart rate data between subjects with PTSD and/or GAD and/or MDD and control subjects at Baseline. Senseye DT results and clinical assessment diagnosis results will be compared using a 2-sample t-test or Wilcoxon rank-sum test.
Time frame: 12 weeks
The Senseye DT demonstrates a statistically significant difference (p<0.05) of ocular signal and/or heart rate data between subjects with PTSD and/or GAD and/or MDD and control subjects at the 12-week follow-up time point. Senseye DT results and clinical assessment diagnosis results will be compared using a 2-sample t-test or Wilcoxon rank-sum test.
Time frame: Baseline & 12 weeks
To obtain data using the Senseye DT measures in both PTSD and control subjects to establish a "ground truth" for the Senseye DT's machine learning algorithm to use for objectively diagnosing and ranking severity of PTSD.
Time frame: Baseline & 12 weeks
To obtain data using the Senseye DT to establish a "ground truth" for the Senseye DT's machine learning algorithm to use for objectively diagnosing and ranking severity of GAD and/or MDD.
Time frame: Baseline & 12 weeks
The Senseye DT demonstrates significantly less time to administer than the CAPS-5-R, based on actual recorded time for study staff to administer each assessment. Senseye DT time and CAPS-5-R time will be compared using a 2-sample t-test or Wilcoxon rank-sum test.
Senseye, Inc.
Industry
Machine-Learning Training Study of the Senseye Diagnostic Tool for Diagnosis of Adults with Post-Traumatic Stress Disorder (PTSD), Anxiety, and Depression
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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