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Peripheral artery disease (PAD) affects 8-18 million in the US and is an economic burden, currently estimated to be greater than cancer and heart disease. Older age (> 65 years), smoking, diabetes and kidney diseases are some risk factors associated with PAD and are known to have increased morbidity and mortality.Early detection is critical for mitigating PAD progression. Ankle-brachial index (ABI) testing is recommended by the US Preventative Services Task Force as an affordable and effective screening tool for evaluating PAD risk.
QuantaFlo™ (Semler Scientific, Inc.) is a novel, noninvasive, 510K FDA approved digital device that is used as a screening tool to measure ABI of patients at risk of PAD. This single center prospective clinical trial will evaluate the sensitivity and specificity of digital ABI in detecting PAD using color Doppler ultrasound and 'gold standard' angiography as reference. Specifically in patient undergoing dialysis and who cannot undergo ABI using pressure cuffs dialysis grafts/ fistulae in the arms, we will evaluate the value of digital ABI in detecting PAD.
Peripheral artery disease (PAD) affects 8-18 million in the US and is an economic burden, currently estimated to be greater than cancer and heart disease. Older age (> 65 years), smoking, diabetes and kidney diseases are some risk factors associated with PAD and are known to have increased morbidity and mortality. PAD progression directly results in claudication, impaired walking, and amputation. Amputation is not benign - impacts are physical and emotional. Recovery from amputation involves long-term rehabilitation. The American Heart Association (AHA) in 2016 guidelines suggests an algorithm for diagnosis and management of PAD. They recommend a collaborative multidisciplinary team approach between the primary care physician and specialists including; a diabetologists/ endocrinologist, smoking cessation expert, hypertension and lipid specialist, interventional radiologist, vascular surgeon, orthopedist, neurologist, wound healing expert, and/or others for 'the greatest chance of providing optimal care for the patient with PAD'.
Early detection is critical for mitigating PAD progression. Ankle-brachial index (ABI) testing is recommended by the US Preventative Services Task Force as an affordable and effective screening tool for evaluating PAD risk. ABI testing is especially useful in primary care settings allowing for earlier diagnosis and treatment. Several ABI methods are used; classically this test uses a device for measuring blood pressure with an inflatable cuff, and blood pressure measurements are taken at the upper arm and the ankle; healthcare providers have used a doppler probe to detect audible systolic pressure signals within the arteries - Doppler ABI. Barriers to implementation include; time required to conduct tests, training and required technical skills. Hence, Doppler-based ABI in primary care has been limited. Recently designed oscillometric (manual or digital with automatic electronic calculation of blood pressure) and photophlethysmographic devices are now available. However current guidelines do not endorse the use of these newer devices but recommend the hand-held doppler technique.
Digital ABI is noninvasive, automated ABI using pulsatile blood volume changes - plethysmography, irrespective of vessel compressibility. The QuantaFlo™ (Semler Scientific, Inc.) is an innovative, 510K FDA approved device that provides bilateral, non-invasive physiologic studies of upper and lower extremity arteries using volume plethysmography of the posterior tibial and anterior tibial/dorsalis pedis arterial distributions. QuantaFlo™ uses an optical sensor attached onto a digit in the hand and feet to assess extremity blood volume. It then displays a signal, directly related to blood volume, on a Volume Plethysmography Chart used to calculate PAD probability. This test is easy to use and portable, delivering fast, accurate results in ~5 minutes; an attractive option in primary care settings. While maintaining accuracy, results comparing digital methods to Doppler show concordance above 90%. The American Medical Association (AMA) concluded, "Evaluation of the digits in both legs with volume plethysmography is appropriate for this code provided that an ankle/brachial index (ABI) be performed." QuantaFlo™ meets both of these standards.
ABI ≤ 0.9 has been used as the criterion for diagnosing PAD based on ACC/AHA guidelines for the management of patients with PAD ; the cutoff value of ABPI ≤0.9 it has been reported that the sensitivity of diagnosing PAD was 83% to 85% and a specificity of 95% to 100% [5]. ABI has been validated against lower extremity contrast angiography obtaining high sensitivity (85%-95%) and specificity (90%-100%), for diagnosing PAD . Many studies have reported more than 95% of sensitivity and specificity of colour duplex ultrasound scan in detecting a significant stenosis of the arteries .
QuantaFlo™ (Semler Scientific, Inc.) is a novel, noninvasive, 510K FDA approved digital device that is used as a screening tool to measure ABI of patients at risk of PAD. This single center prospective clinical trial will evaluate the sensitivity and specificity of digital ABI in detecting PAD using color Doppler ultrasound and 'gold standard' angiography as reference. Specifically in patient undergoing dialysis and who cannot undergo ABI using pressure cuffs dialysis grafts/ fistulae in the arms, we will evaluate the value of digital ABI in detecting PAD.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| ABI | Other | ABI will be performed in patient |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ABI using QuantaFlo™ | Device | Perform Digital ABI:
Clinical course: If based on Screening questionnaire and digital ABI, I. Patient is diagnosed with PAD- the referring physician and patient will receive a phone call about the same. He/ she will then be advised any further testing/ referral to IR clinic. II. There is no evidence of PAD- no further action will be taken. The patient will be informed of the same. |
| Measure | Description | Time Frame |
|---|---|---|
| Positive Predictive Value of Digital ABI in Diagnosing PAD | To evaluate the Positive predictive value of digital ABI in diagnosing PAD using color Doppler ultrasound and 'gold standard' angiography as reference. | 3 months |
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Inclusion Criteria:
Answering yes to any of the following questions on the clinical screening questionnaire:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Keith Pereira, MD | Saint Louis University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Saint Louis University | St Louis | Missouri | 63110 | United States |
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Of the 1791 patients who completed the survey, 238 enrolled in the study (gave consent and completed digital ABI screening).
This study recruited patients from various clinics presenting for appointments not necessarily related to PAD. Patients were asked to complete a screening questionnaire. 1791 patients completed the questionnaire. Patients giving any yes responses were asked if they wanted to participate in the study.
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| ID | Title | Description |
|---|---|---|
| FG000 | Patients at Risk for PAD | For those who screened positive by the questionnaire, and signed consent, a digital ABI was performed using QuantaFlo™. For subjects with PAD the referring physician and patient will receive a phone call about the same. He/ she will then be advised any further testing/ referral to IR clinic. For subjects with no evidence of PAD, subject will be informed of results, and no further action taken. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
238-missing 32 data sheets = 206
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| ID | Title | Description |
|---|---|---|
| BG000 | Patients at Risk for PAD | For those who screened positive by the questionnaire, and signed consent, a digital ABI was performed using QuantaFlo™. For subjects with PAD the referring physician and patient will receive a phone call about the same. He/ she will then be advised any further testing/ referral to IR clinic. For subjects with no evidence of PAD, subject will be informed of results, and no further action taken. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Positive Predictive Value of Digital ABI in Diagnosing PAD | To evaluate the Positive predictive value of digital ABI in diagnosing PAD using color Doppler ultrasound and 'gold standard' angiography as reference. | Positive Predictive Value (PPV) | Posted | Count of Participants | Participants | 3 months |
|
Data was collected over the time of performing the non invasive ABI test. This was for 2 months
Adverse Even (AE) any adverse event occurring at the time of or following time of procedure/ embolization through the remainder of study.
Serious Adverse Event (SAE):
Unanticipated Adverse Event (UAE): any event that could not be reasonably foreseen or had not been previously reported in the product package insert as a potential adverse event related to use of this device
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | ABIABI Using QuantaFlo™ | ABI will be performed in patient ABI using QuantaFlo™: Perform Digital ABI:
Clinical course: If based on Screening questionnaire and digital ABI, I. Patient is diagnosed with PAD- the referring physician and patient will receive a phone call about the same. He/ she will then be advised any further testing/ referral to IR clinic. II. There is no evidence of PAD- no further action will be taken. The patient will be informed |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Keith Pereira | Saint Louis University | 314-268-5782 | keith.pereira@health.slu.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Apr 26, 2018 | Aug 2, 2018 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D058729 | Peripheral Arterial Disease |
| D012907 | Smoking |
| D003920 | Diabetes Mellitus |
| D006937 | Hypercholesterolemia |
| D006973 | Hypertension |
| ID | Term |
|---|---|
| D050197 | Atherosclerosis |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D014652 | Vascular Diseases |
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|
| Participants |
|
| Age, Continuous | ABI severe, mod and mild risk categories are made up of subjects within the overall at risk for PAD population. These categories are based on ABI results of that population. | Mean | Standard Deviation | years |
|
| Sex: Female, Male | ABI severe, mod and mild risk categories are made up of subjects within the overall at risk for PAD population. These categories are based on ABI results of that population. | Count of Participants | Participants |
|
| Race and Ethnicity Not Collected | Race and Ethnicity were not collected from any participant. | Count of Participants | Participants |
|
| diabetic | Count of Participants | Participants |
|
|
|
| 0 |
| 238 |
| 0 |
| 238 |
| 0 |
| 238 |
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| D002318 |
| Cardiovascular Diseases |
| D016491 | Peripheral Vascular Diseases |
| D001519 | Behavior |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D006949 | Hyperlipidemias |
| D050171 | Dyslipidemias |
| D052439 | Lipid Metabolism Disorders |