ABSTRACT
BACKGROUND: Major Depressive Disorder (MDD) is prevalent, often chronic, and requires ongoing monitoring of symptoms to track response to treatment and identify early indicators of relapse. Remote Measurement Technologies (RMT) provide an opportunity to transform the measurement and management of MDD, via data collected from inbuilt smartphone sensors and wearable devices alongside app-based questionnaires and tasks. A key question for the field is the extent to which participants can adhere to research protocols and the completeness of data collected. We aimed to describe drop out and data completeness in a naturalistic multimodal longitudinal RMT study, in people with a history of recurrent MDD. We further aimed to determine whether those experiencing a depressive relapse at baseline contributed less complete data. METHODS: Remote Assessment of Disease and Relapse - Major Depressive Disorder (RADAR-MDD) is a multi-centre, prospective observational cohort study conducted as part of the Remote Assessment of Disease and Relapse - Central Nervous System (RADAR-CNS) program. People with a history of MDD were provided with a wrist-worn wearable device, and smartphone apps designed to: a) collect data from smartphone sensors; and b) deliver questionnaires, speech tasks, and cognitive assessments. Participants were followed-up for a minimum of 11 months and maximum of 24 months. RESULTS: Individuals with a history of MDD (n = 623) were enrolled in the study,. We report 80% completion rates for primary outcome assessments across all follow-up timepoints. 79.8% of people participated for the maximum amount of time available and 20.2% withdrew prematurely. We found no evidence of an association between the severity of depression symptoms at baseline and the availability of data. In total, 110 participants had > 50% data available across all data types. CONCLUSIONS: RADAR-MDD is the largest multimodal RMT study in the field of mental health. Here, we have shown that collecting RMT data from a clinical population is feasible. We found comparable levels of data availability in active and passive forms of data collection, demonstrating that both are feasible in this patient group.
Subject(s)
Depressive Disorder, Major , Mobile Applications , Chronic Disease , Depressive Disorder, Major/diagnosis , Depressive Disorder, Major/epidemiology , Humans , Prospective Studies , Recurrence , SmartphoneABSTRACT
The ability to simultaneously visualize the presence, abundance, location and functional state of many targets in cells and tissues has been described as a true next-generation approach in immunohistochemistry (IHC). A typical requirement for multiplex IHC (mIHC) is the use of different animal species for each primary (1°Ab) and secondary (2°Ab) antibody pair. Although 1°Abs from different species have been used with differently labeled species-specific 2°Abs, quite often the appropriate combination of antibodies is not available. More recently, sequential detection of multiple antigens using 1°Abs from the same species used a microwaving treatment between successive antigen detection cycles to elute previously bound 1°Ab/2°Ab complex and therefore to prevent the cross-reactivity of anti-species 2°Abs used in subsequent detection cycles. We present here a fully automated 1°Ab/2°Ab complex heat deactivation (HD) method on Ventana's BenchMark ULTRA slide stainer. This method is applied to detection using fluorophore-conjugated tyramide deposited on the tissue and takes advantage of the strong covalent bonding of the detection substrate to the tissue, preventing its elution in the HD process. The HD process was characterized for (1) effectiveness in preventing Ab cross-reactivity, (2) impact on the epitopes and (3) impact on the fluorophores. An automated 5-plex fluorescent IHC assay was further developed using the HD method and rabbit 1°Abs for CD3, CD8, CD20, CD68 and FoxP3 immune biomarkers in human tissue specimens. The fluorophores were carefully chosen and the narrow-band filters were designed to allow visualization of the staining under fluorescent microscope with minimal bleed through. The automated 5-plex fluorescent IHC assay achieved staining results comparable to the respective single-plex chromogenic IHC assays. This technology enables automated mIHC using unmodified 1°Abs from same species and the corresponding anti-species 2°Ab on a clinically established automated platform to ensure staining quality, reliability and reproducibility.