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FlowMet-R Blood Flow Measurement for the Diagnosis of Peripheral Artery Disease and Critical Limb Ischemia

FlowMet-R Blood Flow Measurement for the Diagnosis of Peripheral Artery Disease (PAD) and Critical Limb Ischemia (CLI)

Status
Terminated
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04120610
Enrollment
195
Registered
2019-10-09
Start date
2019-12-09
Completion date
2022-11-21
Last updated
2025-04-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Peripheral Artery Disease

Keywords

Peripheral Artery Disease, Claudication, Critical Limb Ischemia

Brief summary

Non-randomized, multi-center, longitudinal study of healthy subjects and subjects with PAD who are scheduled for ABI, TBI, and either Duplex Ultrasound or Angiographic assessments in a vascular clinic.

Detailed description

Patients scheduled for peripheral vascular examination and healthy controls will be measured with the FlowMet-R, a noninvasive blood flow monitor, and compared to gold standard diagnostics - ABI, TBI, and Doppler Ultrasound. Sensitivity and specificity of the FlowMet-R device output in diagnosing PAD and CLI will be assessed on initial visit, 3-month followup, and 6-month followup.

Interventions

DIAGNOSTIC_TESTFlowMet-R

FlowMet-R is a noninvasive blood flow measurement.

DIAGNOSTIC_TESTABI

Ankle Brachial Index is a ratio-metric blood pressure measurement in the ankle and arm.

DIAGNOSTIC_TESTTBI

Ankle Brachial Index is a ratio-metric blood pressure measurement in the toe and arm.

Sponsors

ICON plc
CollaboratorINDUSTRY
Medtronic Endovascular
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
40 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

PAD Positive Cohort * Subject meets PAD positive criteria * Subject is willing and able to provide informed consent * Subject is willing and able to comply with study procedures * Subject is able to understand the study procedures * Subject is scheduled for vascular examination that includes noninvasive assessments as standard of care: ABI, TBI, and either a Duplex Ultrasound or Angiogram Healthy Cohort * Subject is willing and able to provide informed consent. * Subject is willing and able to comply with the study procedures. * Subject is able to understand the study procedures. * Subject has no history of positive PAD diagnosis, and is not currently suspected of having PAD.

Exclusion criteria

PAD Positive Cohort * Subject is under 40 or unable to consent. * Subject has any medical condition, which, in the judgment of the Investigator and/or designee, makes the subject a poor candidate for the investigational study. * Subject is excluded from analysis if no stenosis is found during Doppler but Tibial disease is suspected and Tibial ultrasound is not able to be performed. * Subject does not have a suitable finger to attach the FlowMet-R probe. * Subject does not have a suitable 1st or 2nd digit to attach FlowMet-R probe on the limb of interest. * Subject has undergone revascularization within the last 90 days * Subject cannot lay safely in a supine position. Healthy Cohort * Subject is under 40 or unable to consent. * Subject has any medical condition, which, in the judgment of the Investigator and/or designee, makes the subject a poor candidate for the investigational study. * One or more limbs has a prior or current diagnosis of PAD, or is reasonably suspected of having a diagnosis of PAD. * Subject does not have a suitable finger to attach the FlowMet-R probe. * Subject does not have a suitable 1st or 2nd digit to attach FlowMet-R probe. * Subject has undergone revascularization within the last 90 days

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIInitial, three month, and six month time points.Primary objective is to determine the efficacy of FlowMet-R measurements in diagnosing PAD & CLI. All patients were combined from healthy & PAD groups to form one cohort, ABI and TBI were then used to assign patients in PAD (1), PAD (2) & CLI. FlowMet-R data (comprised of blood flow measurements and/or feature analysis of the blood flow waveform) were used to create a predictive model of PAD severity. This model was used to generate diagnostic receiver operating characteristic (ROC) curves for PAD and, independently, CLI, at three time points. ROC curves were used to compute the peak sensitivity, peak specificity, and area under the curve (AUC) at the initial, 3-month and 6-month time points. Sensitivity, specificity and AUC are unitless. Sensitivity is the percentage of true positives & specificity is the percentage of true negatives at the location on the ROC curve where it was closest to the upper left of the unit square from an ROC curve (peak).

Secondary

MeasureTime frameDescription
Sensitivity, Specificity and Area Under the Curve (AUC) of FlowMet-R in Diagnosing Significant StenosisInitial visitROC curves for predicting a patient has significant stenosis, defined by greater than 50%, in at least one peripheral artery will be generated using FlowMet-R measurement data. ROC curves will be used to compute the peak sensitivity, peak specificity, and area under the curve (AUC) at the initial visit. Sensitivity, specificity and AUC are unitless. Sensitivity is the percentage of true positives & specificity is the percentage of true negatives at the location on the ROC curve where it was closest to the upper left of the unit square from an ROC curve (peak).
Stenosis PercentageInitial visitA correlation test will be performed between FlowMet-R and stenosis percentage. The correlations between the acceleration time from the FlowMet-R device and peripheral artery stenosis will be computed using a Pearson correlation. Correlation will be computed using available FlowMet-R data from PAD participants with significant stenosis, defined by greater than 50%, in at least one peripheral artery at the initial visit.
Sensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular InterventionWithin three and six months following initial visitROC curves for predicting if a patient will undergo intervention following their initial visit were generated using FlowMet-R measurement data. ROC curves were used to compute the peak sensitivity, peak specificity, and area under the curve (AUC) within the 3-month and 6-month time points, separately. Sensitivity, specificity and AUC are unitless. Sensitivity is the percentage of true positives & specificity is the percentage of true negatives at the location on the ROC curve where it was closest to the upper left of the unit square from an ROC curve (peak).
Changes in Toe Brachial Index (TBI)Within three and six months following initial visit.The outcome TBI is a ratio of blood pressures in the arm and toe. Values less than 1 generally indicate narrower arteries. The outcome used the change in TBI for: 0 to 3 months, 0 to 6 months, and 3 to 6 months. The correlation with this outcome was estimated using the corresponding change in acceleration time from the FlowMet-R device.
Changes in Rutherford ClassificationWithin three and six months following initial visit.Rutherford Classification is an ordinal scale that ranges from 0 to 6 and is used to measure peripheral arterial disease severity and chronic limb threatening ischemia. Higher values indicate more severe disease. The changes for Rutherford Classification were computed for: 0 to 3 months, 0 to 6 months, and 3 to 6 months. The correlation with this outcome was estimated using the corresponding change in acceleration time from the FlowMet-R device.
Changes in Ankle Brachial Index (ABI)Within three and six months following initial visit.The outcome ABI is a ratio of blood pressures in the arm and ankle. Values less than 1 generally indicate narrower arteries. The outcome used the change in ABI for: 0 to 3 months, 0 to 6 months, and 3 to 6 months. The correlation with this outcome was estimated using the corresponding change in acceleration time from the FlowMet-R device.

Countries

United States

Participant flow

Pre-assignment details

205 subjects were consented in the study. Of the 205 subjects, 10 subjects were screen fails due to I/E criteria, resulting in 195 total subjects enrolled. There were limitations discovered in the study design during enrollment due to classification of PAD and CLI from respective sites. Patients were categorized based on observed ABI, TBI and Rutherford Classification regardless of enrollment cohort.

Participants by arm

ArmCount
Healthy
Healthy cohort includes patients over 40 years old without history of PAD or suspected PAD, where the ABI\>0.9 and ABI≤1.4 or TBI\>0.7. Healthy cohort will receive FlowMet-R measurement, Ankle Brachial Index (ABI), and Toe Brachial Index (TBI) measurements. FlowMet-R: FlowMet-R is a noninvasive blood flow measurement. ABI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the ankle and arm. TBI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the toe and arm.
63
Healthy
Healthy cohort includes patients over 40 years old without history of PAD or suspected PAD, where the ABI\>0.9 and ABI≤1.4 or TBI\>0.7. Healthy cohort will receive FlowMet-R measurement, Ankle Brachial Index (ABI), and Toe Brachial Index (TBI) measurements. FlowMet-R: FlowMet-R is a noninvasive blood flow measurement. ABI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the ankle and arm. TBI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the toe and arm.
77
Peripheral Artery Disease (Including Critical Limb Ischemia)
PAD cohort is all-comers to the vascular lab that are scheduled to undergo assessment for Peripheral Artery Disease (PAD) or have a planned endovascular or surgical intervention to address PAD. PAD (2) cohort patients are defined by ABI≤0.9 or ABI\>1.4 and secondary verification of TBI≤0.7 without exhibition of symptoms and regardless of Rutherford Category. CLI cohort patients are defined by an exhibition of chronic rest pain and active wounds, verified by TBI\<0.3. PAD (2) and CLI patients will receive FlowMet-R measurement in addition to their routine standard of care. FlowMet-R: FlowMet-R is a noninvasive blood flow measurement. ABI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the ankle and arm. TBI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the toe and arm.
131
Peripheral Artery Disease (Including Critical Limb Ischemia)
PAD cohort is all-comers to the vascular lab that are scheduled to undergo assessment for Peripheral Artery Disease (PAD) or have a planned endovascular or surgical intervention to address PAD. PAD (2) cohort patients are defined by ABI≤0.9 or ABI\>1.4 and secondary verification of TBI≤0.7 without exhibition of symptoms and regardless of Rutherford Category. CLI cohort patients are defined by an exhibition of chronic rest pain and active wounds, verified by TBI\<0.3. PAD (2) and CLI patients will receive FlowMet-R measurement in addition to their routine standard of care. FlowMet-R: FlowMet-R is a noninvasive blood flow measurement. ABI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the ankle and arm. TBI: Ankle Brachial Index is a ratio-metric blood pressure measurement in the toe and arm.
148
Total419

Baseline characteristics

CharacteristicHealthyTotalPeripheral Artery Disease (Including Critical Limb Ischemia)
Age, Continuous60.0 years
STANDARD_DEVIATION 13
67.0 years
STANDARD_DEVIATION 11.8
70.4 years
STANDARD_DEVIATION 9.6
Body Mass Index28.7 lbs/(in^2)*703
STANDARD_DEVIATION 7.3
28.4 lbs/(in^2)*703
STANDARD_DEVIATION 6.3
28.2 lbs/(in^2)*703
STANDARD_DEVIATION 5.7
Ethnicity (NIH/OMB)
Hispanic or Latino
4 Participants36 Participants32 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
59 Participants158 Participants99 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Height66.1 inches
STANDARD_DEVIATION 4.1
66.4 inches
STANDARD_DEVIATION 4.2
66.5 inches
STANDARD_DEVIATION 4.3
Medical History
Chronic Obstructive Pulmonary Disease (COPD)
3 participants27 participants24 participants
Medical History
Clots or deep vein thrombosis (DVT)
0 participants7 participants7 participants
Medical History
Type 1 diabetes
2 participants5 participants3 participants
Medical History
Type 2 diabetes
18 participants83 participants65 participants
Medical History
Venous Disease
12 participants47 participants35 participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
1 Participants2 Participants1 Participants
Race (NIH/OMB)
Black or African American
5 Participants26 Participants21 Participants
Race (NIH/OMB)
More than one race
NA ParticipantsNA ParticipantsNA Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants33 Participants31 Participants
Race (NIH/OMB)
White
55 Participants133 Participants78 Participants
Region of Enrollment
United States
63 participants194 participants131 participants
Sex: Female, Male
Female
35 Participants91 Participants56 Participants
Sex: Female, Male
Male
28 Participants103 Participants75 Participants
Smoking Status
Current
5 Participants36 Participants31 Participants
Smoking Status
Never
34 Participants67 Participants33 Participants
Smoking Status
Previous
24 Participants91 Participants67 Participants
Weight183.4 pounds
STANDARD_DEVIATION 44.8
180.5 pounds
STANDARD_DEVIATION 43.1
178.4 pounds
STANDARD_DEVIATION 42.6
Wound History4 Participants18 Participants14 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 524 / 143
other
Total, other adverse events
0 / 522 / 143
serious
Total, serious adverse events
0 / 526 / 143

Outcome results

Primary

Sensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLI

Primary objective is to determine the efficacy of FlowMet-R measurements in diagnosing PAD & CLI. All patients were combined from healthy & PAD groups to form one cohort, ABI and TBI were then used to assign patients in PAD (1), PAD (2) & CLI. FlowMet-R data (comprised of blood flow measurements and/or feature analysis of the blood flow waveform) were used to create a predictive model of PAD severity. This model was used to generate diagnostic receiver operating characteristic (ROC) curves for PAD and, independently, CLI, at three time points. ROC curves were used to compute the peak sensitivity, peak specificity, and area under the curve (AUC) at the initial, 3-month and 6-month time points. Sensitivity, specificity and AUC are unitless. Sensitivity is the percentage of true positives & specificity is the percentage of true negatives at the location on the ROC curve where it was closest to the upper left of the unit square from an ROC curve (peak).

Time frame: Initial, three month, and six month time points.

Population: Sensitivity, specificity and area under the curve (AUC) were calculated for PAD (1) vs. not PAD (1), PAD (2) vs not PAD (2), and CLI vs. not CLI at initial, three-month and six-month timepoints.

ArmMeasureGroupValue (NUMBER)
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (6 months)0.58 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (6 months)0.74 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (Initial)0.84 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (Initial)0.78 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (3 months)0.52 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (Initial)0.80 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (3 months)0.63 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (6 months)0.62 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (3 months)0.58 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (6 months)0.67 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (3 months)0.77 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (6 months)0.73 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (6 months)0.67 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (Initial)0.86 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (Initial)0.87 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (3 months)0.57 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (3 months)0.67 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (Initial)0.78 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (3 months)1.00 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (Initial)0.86 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (Initial)0.82 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISensitivity (6 months)1.00 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (3 months)0.95 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (6 months)0.59 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (3 months)0.91 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLIArea Under the Curve (6 months)0.79 probability
Critical Limb Ischemia (CLI) vs Not CLISensitivity and Specificity of FlowMet-R for Diagnosis of PAD and CLISpecificity (Initial)0.78 probability
Secondary

Changes in Ankle Brachial Index (ABI)

The outcome ABI is a ratio of blood pressures in the arm and ankle. Values less than 1 generally indicate narrower arteries. The outcome used the change in ABI for: 0 to 3 months, 0 to 6 months, and 3 to 6 months. The correlation with this outcome was estimated using the corresponding change in acceleration time from the FlowMet-R device.

Time frame: Within three and six months following initial visit.

Population: Limbs of participants with ABI measured at 0, 3, and 6 months. ABI was not collected in at least 2 of the 86 limbs included in the overall analysis.

ArmMeasureValue (MEAN)Dispersion
Peripheral Artery Disease (1) vs Not PADChanges in Ankle Brachial Index (ABI)0.09 mmHg / mmHgStandard Deviation 0.23
Peripheral Artery Disease (2) vs Not PADChanges in Ankle Brachial Index (ABI)0.08 mmHg / mmHgStandard Deviation 0.31
Critical Limb Ischemia (CLI) vs Not CLIChanges in Ankle Brachial Index (ABI)0.03 mmHg / mmHgStandard Deviation 0.22
Comparison: Correlation of change in acceleration time and ABI. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.46, -0.03]
Comparison: Correlation of change in acceleration time and ABI. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.51, -0.12]
Comparison: Correlation of change in acceleration time and ABI. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.38, 0.14]
Secondary

Changes in Rutherford Classification

Rutherford Classification is an ordinal scale that ranges from 0 to 6 and is used to measure peripheral arterial disease severity and chronic limb threatening ischemia. Higher values indicate more severe disease. The changes for Rutherford Classification were computed for: 0 to 3 months, 0 to 6 months, and 3 to 6 months. The correlation with this outcome was estimated using the corresponding change in acceleration time from the FlowMet-R device.

Time frame: Within three and six months following initial visit.

Population: Limbs of participants with Rutherford Class measured at 0, 3, and 6 months. Rutherford Class was not collected in at least 2 of the 86 limbs included in the overall analysis.

ArmMeasureValue (MEAN)Dispersion
Peripheral Artery Disease (1) vs Not PADChanges in Rutherford Classification-0.39 units on a scaleStandard Deviation 1.4
Peripheral Artery Disease (2) vs Not PADChanges in Rutherford Classification-0.62 units on a scaleStandard Deviation 1.5
Critical Limb Ischemia (CLI) vs Not CLIChanges in Rutherford Classification-0.26 units on a scaleStandard Deviation 1.2
Comparison: Correlation of change in acceleration time and Rutherford Classification. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.08, 0.36]
Comparison: Correlation of change in acceleration time and Rutherford Classification. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.02, 0.39]
Comparison: Correlation of change in acceleration time and Rutherford Classification. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.02, 0.47]
Secondary

Changes in Toe Brachial Index (TBI)

The outcome TBI is a ratio of blood pressures in the arm and toe. Values less than 1 generally indicate narrower arteries. The outcome used the change in TBI for: 0 to 3 months, 0 to 6 months, and 3 to 6 months. The correlation with this outcome was estimated using the corresponding change in acceleration time from the FlowMet-R device.

Time frame: Within three and six months following initial visit.

Population: Limbs of participants with TBI measured at 0, 3, and 6 months.

ArmMeasureValue (MEAN)Dispersion
Peripheral Artery Disease (1) vs Not PADChanges in Toe Brachial Index (TBI)0.08 mmHg / mmHgStandard Deviation 0.24
Peripheral Artery Disease (2) vs Not PADChanges in Toe Brachial Index (TBI)0.10 mmHg / mmHgStandard Deviation 0.25
Critical Limb Ischemia (CLI) vs Not CLIChanges in Toe Brachial Index (TBI)0.02 mmHg / mmHgStandard Deviation 0.18
Comparison: Correlation of change in acceleration time and TBI. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.52, -0.12]
Comparison: Correlation of change in acceleration time and TBI. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.52, -0.15]
Comparison: Correlation of change in acceleration time and TBI. Descriptive analysis of endpoint with no hypothesis.95% CI: [-0.47, 0.02]
Secondary

Sensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular Intervention

ROC curves for predicting if a patient will undergo intervention following their initial visit were generated using FlowMet-R measurement data. ROC curves were used to compute the peak sensitivity, peak specificity, and area under the curve (AUC) within the 3-month and 6-month time points, separately. Sensitivity, specificity and AUC are unitless. Sensitivity is the percentage of true positives & specificity is the percentage of true negatives at the location on the ROC curve where it was closest to the upper left of the unit square from an ROC curve (peak).

Time frame: Within three and six months following initial visit

Population: PAD (1), PAD (2) and CLI participants who underwent vascular intervention following their initial visit.

ArmMeasureGroupValue (NUMBER)
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular InterventionSensitivity0.60 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular InterventionSpecificity0.49 probability
Peripheral Artery Disease (1) vs Not PADSensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular InterventionArea Under the Curve (AUC)0.52 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular InterventionSensitivity0.59 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular InterventionSpecificity0.56 probability
Peripheral Artery Disease (2) vs Not PADSensitivity and Specificity of FlowMet-R for Prognosis of Requiring a Peripheral Vascular InterventionArea Under the Curve (AUC)0.54 probability
Secondary

Sensitivity, Specificity and Area Under the Curve (AUC) of FlowMet-R in Diagnosing Significant Stenosis

ROC curves for predicting a patient has significant stenosis, defined by greater than 50%, in at least one peripheral artery will be generated using FlowMet-R measurement data. ROC curves will be used to compute the peak sensitivity, peak specificity, and area under the curve (AUC) at the initial visit. Sensitivity, specificity and AUC are unitless. Sensitivity is the percentage of true positives & specificity is the percentage of true negatives at the location on the ROC curve where it was closest to the upper left of the unit square from an ROC curve (peak).

Time frame: Initial visit

Population: All PAD participants with significant stenosis, defined by greater than 50%, in at least one peripheral artery and generated using FlowMet-R measurement data.

ArmMeasureGroupValue (NUMBER)
Peripheral Artery Disease (1) vs Not PADSensitivity, Specificity and Area Under the Curve (AUC) of FlowMet-R in Diagnosing Significant StenosisSensitivity0.61 probability
Peripheral Artery Disease (1) vs Not PADSensitivity, Specificity and Area Under the Curve (AUC) of FlowMet-R in Diagnosing Significant StenosisSpecificity0.61 probability
Peripheral Artery Disease (1) vs Not PADSensitivity, Specificity and Area Under the Curve (AUC) of FlowMet-R in Diagnosing Significant StenosisArea Under the Curve (AUC)0.63 probability
Secondary

Stenosis Percentage

A correlation test will be performed between FlowMet-R and stenosis percentage. The correlations between the acceleration time from the FlowMet-R device and peripheral artery stenosis will be computed using a Pearson correlation. Correlation will be computed using available FlowMet-R data from PAD participants with significant stenosis, defined by greater than 50%, in at least one peripheral artery at the initial visit.

Time frame: Initial visit

Population: All limbs of PAD participants with significant stenosis, defined by greater than 50%, in at least one peripheral artery and generated using FlowMet-R measurement data.

ArmMeasureValue (MEAN)Dispersion
Peripheral Artery Disease (1) vs Not PADStenosis Percentage67.9 percentage of stenosisStandard Deviation 32.5
Comparison: Descriptive analysis of endpoint with no hypothesis.95% CI: [0.1, 0.41]

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026