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Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- Vixiar Medical, Inc
- Proposal award date
- 2019-04-15
- Contract end date
- 2021-03-31
- UEI
- NEJREN5KEXT4
- Solicitation number
- PA16-303
- Topic code
- NHLBI
Research abstract
Congestive heart failure (CHF) is the most common reason for hospitalization in the U.S., with over 1 million
admissions per year. Patients admitted with CHF usually need IV diuretics to promote fluid removal. The
readmission rate is high – over 20% by 30 days, and 30% by 90 days post-discharge. This also presents an
enormous economic burden - hospitalizations account for a large percentage of the $38 billion spent yearly on
heart failure. One of the reasons for the high readmission rate is that it can be very challenging to detect
elevated cardiac filling pressure until symptoms recur that prompt a return to the hospital. There is much
enthusiasm for the potential of remote noninvasive monitoring to predict and reduce heart failure readmissions,
but daily weights, vital signs and symptoms have limited sensitivity and specificity or are later indicators. We
have developed the first device for assessing cardiac filling pressure noninvasively that can be used at home.
It records finger photoplethysmography (ppg) continuously while also guiding and recording a standardized
Valsalva maneuver into an expiratory pressure transducer. The latest prototype is hand-held, battery-powered,
and communicates wirelessly with an iPad capable of remote transmission. The device is easy to use, employs
technology that is robust and inexpensive, and testing takes only 5 minutes. We have shown that the output
measure correlates with the invasive gold standard measures of left heart filling pressure - left ventricular end
diastolic pressure (LVEDP) and pulmonary capillary wedge pressure (PCWP). More importantly, we have
shown that it identifies clinically meaningful categories of elevated LVEDP and PCWP. Most recently, we have
shown that LVEDP derived from the device on the day of discharge has high specificity for predicting heart
failure readmission, need for outpatient IV diuresis, or death within 30 days after discharge. Sensitivity and
specificity for predicting readmission may be improved by following LVEDP over time at home. In this Fast
Track project, we intend in Phase I to develop further the automated waveform analysis algorithms, remote
transmission capabilities, and prototyping necessary to conduct a home-based observational clinical study. In
the clinical study in Phase II, post-discharge heart failure patients will test themselves at home twice a day for
up to 30 days, and the data will be transmitted remotely. We will determine if LVEDP obtained twice daily
predicts heart failure events (a combination of heart failure readmission, need for outpatient IV diuresis, or
death) within 30 days after discharge. Our team has extensive combined expertise in waveform analysis,
software development, medical device prototyping, project engineering, heart failure clinical investigation, and
prior success in medical device start-ups. If the outcome of our observational clinical study is successful, the
next step would be to conduct a multi-center interventional trial to determine if guiding therapy based on daily
device testing reduces post-discharge heart failure events. The device has the potential to improve quality of
life, reduce health care costs, and improve survival in patients with heart failure.Congestive heart failure is the most common reason for hospitalization, and the readmission
rate is high, which is a substantial health and cost burden. We have developed a noninvasive
test for detecting congestion before symptoms develop, that may reduce re-hospitalizations,
reduce health care cost, and improve quality of life in patients with heart failure. We will
determine in patients testing themselves each day at home after a hospital discharge, how well
the device predicts readmissions for heart failure.
Technology keywords
Not reported
Other awards by this recipient
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Awards with the same topic code
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Research funding history
2 SBIR/STTR records share this UEI (2017–2019). Reported award amounts total $1,317,639. Reported amounts are not federal obligations.
Phases: Phase II, Phase I
Agencies: Department of Health and Human Services
Agency intelligence
Department of Health and Human Services
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