SBIR/STTR Research Award
A PORTABLE MULTI-MODAL OPTICO-IMPEDANCE SYTEM FOR EARLY WARNING OF PROGRESSION IN STABLE COVID-19 PATIENTS
Award amount
$310,564Program and phase
STTR · Phase IAward year
2019Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- MULTIVARIATE SYSTEMS INC.
- Proposal award date
- 2019-09-25
- Contract end date
- 2022-01-31
- UEI
- S8PWMJTZFP35
- Solicitation number
- PA20-135
- Topic code
- NIBIB
Research abstract
Project Summary / Abstract:
COVID-19, the clinical presentation associated with SARS-CoV-2 infection, has already profoundly impacted
healthcare systems globally. Of particular note, communities such as long-term care facilities, assisted living
communities, and prisons, are being devastated because of their high density of vulnerable individuals.
Nursing home residents, which represent only 0.5% of the US population, account for 25% of COVID-19
deaths. Early detection of COVID-19 progression in these patients is critical to improving outcomes of patients
who are in an early stable condition but at risk of deteriorating, but must be balanced with efficient use of
primary care resources and adequate protection of healthcare workers. An early alert to progression with a
high sensitivity and an acceptable rate of false-negatives would save patient lives, reduce exposure of
healthcare workers, and would also facilitate resource-shifting in the face of a surge. The time, money and
effort saved by allowing medical resources to be applied more accurately is the essence of precision medicine.
During our current STTR efforts, we have developed and evaluated an opto-impedance system capable of
integrating and classifying optical, electrical impedance spectroscopy and tomography data to detect change
from baseline signatures of early ongoing hemorrhage with high accuracy. This proposal will (1) scale up our
hardware inventory, (2) deploy on COVID-positive patients to collect continuous multiplex data and (3) retrain
our algorithms using the data to detect associated deterioration due to progression of COVID symptoms. This
multivariate approach that has already been demonstrated in other pre-shock models, has the potential to
provide critical diagnostic and prognostic feedback in high-risk individuals.PROJECT NARRATIVE
Our current STTR aims to develop optico-impedance sensors capable of detecting hemorrhage and results in
sixty pigs (hemorrhage model) and 11 human subjects (lower-body negative pressure model) suggest
excellent ability to diagnose 2-3% total blood volume loss with our early prototype device. An early alert to
progression of COVID-19 should be an easier target, since an increase in extra-vascular lung water (EVLW) is
one of the earliest detectable changes and these changes are more easily detected by impedance tomography
than small changes in blood volume. This supplement will enable us to deploy additional Mk 1 prototype
devices in COVID-positive patients to learn and test the diagnostic potential of our device.
Technology keywords
Not reported
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