NCT03411213

Brief Summary

Atherosclerosis is accompanied by microvascular dysfunction (an impairment of blood vessels to dilate or constrict in response to demand). The ability to reliably measure microvascular dysfunction would help identify patients at risk of myocardial infarction and test new treatments. All existing measures of microvascular dysfunction suffer significant limitations. Near Infrared Spectroscopy (NIRS) is an imaging method that uses an infrared light-source and detector (called optodes) to painlessly shines light into tissue and collect reflected light at different wavelengths. This data allows quantification of the amount of haemoglobin (blood) in the tissue and whether it is oxygenated or de-oxygenated. Diffuse optical tomography (DOT) is a powerful analysis technique for data collected from multiple NIRH optodes. Unlike most NIRS studies that use a single pair of optodes and collects a single datapoint for each wavelength over time, DOT allows three-dimensional spatial reconstruction of haemodynamic and anatomic changes in a large region of tissue over time. In preliminary work DOT had the potential to measure forearm reactive hyperaemia, a key indicator of microvascular function. Team will test whether DOT can detect differences between patients and healthy volunteers. In this work, 30 patients will be recruited with type 2 diabetes, 30 patients who have had a previous myocardial infarction and 30 healthy volunteers. The Investigator will also recruit 50 patients who are on waiting lists for coronary angiography. The DOT will be used to measure participants' microvascular function after brachial artery occlusion by a blood pressure cuff. The Investigator will then examine whether DOT can detect differences between healthy volunteers, diabetics, and patients with a previous heart attack, and whether DOT is able to predict existence of coronary artery disease on angiography. If successful, DOT can be developed for assessment of microvascular function to the point where it could be applied to clinical studies.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
19

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Jan 2016

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 11, 2016

Completed
1.9 years until next milestone

First Submitted

Initial submission to the registry

December 18, 2017

Completed
1 month until next milestone

First Posted

Study publicly available on registry

January 26, 2018

Completed
2.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 26, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 26, 2020

Completed
Last Updated

May 17, 2022

Status Verified

May 1, 2022

Enrollment Period

4.2 years

First QC Date

December 18, 2017

Last Update Submit

May 10, 2022

Conditions

Outcome Measures

Primary Outcomes (1)

  • Can diffuse optical tomography detect microvascular function?

    Measuring microvascular function with diffuse optical tomography

    3 years from start date

Secondary Outcomes (3)

  • Detecting differences in microvascular function in atherosclerosis

    3 years from start date

  • Detecting differences in microvascular function in diabetes

    3 years from start date

  • Predicting coronary artery disease before angiography

    3 years from start date

Study Arms (2)

Vascular function

EXPERIMENTAL

Diffuse optical tomography detection of differences in vascular function between healthy volunteers and patients with proven heart disease or diabetes.

Device: diffuse optical tomography

Coronary artery disease

EXPERIMENTAL

Diffuse optical tomography prediction of presence or severity of coronary artery disease on angiography.

Device: diffuse optical tomography

Interventions

Optical tomography is a form of computed tomography that creates a digital volumetric model of an object by reconstructing images made from light transmitted and scattered through an object.

Coronary artery diseaseVascular function

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age 18-80 of either sex
  • Ability to read and speak English to a level allowing understanding of the patient information and to give consent to participate
  • Diagnosed as type 2 diabetic for at least 12 months
  • No painful arms or health problems preventing blood pressure cuff inflation
  • No lymphoedema of the arm
  • Not diabetic or known to have suffered a myocardial infarction in the past

You may not qualify if:

  • Any patients that do not meet the above criteria will be excluded

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Northern General Hospital

Sheffield, South Yorkshire, S5 7AU, United Kingdom

Location

Related Publications (10)

  • Marzilli M, Merz CN, Boden WE, Bonow RO, Capozza PG, Chilian WM, DeMaria AN, Guarini G, Huqi A, Morrone D, Patel MR, Weintraub WS. Obstructive coronary atherosclerosis and ischemic heart disease: an elusive link! J Am Coll Cardiol. 2012 Sep 11;60(11):951-6. doi: 10.1016/j.jacc.2012.02.082.

    PMID: 22954239BACKGROUND
  • Tooke JE. Microvascular function in human diabetes. A physiological perspective. Diabetes. 1995 Jul;44(7):721-6. doi: 10.2337/diab.44.7.721.

    PMID: 7789639BACKGROUND
  • Pyke KE, Tschakovsky ME. Peak vs. total reactive hyperemia: which determines the magnitude of flow-mediated dilation? J Appl Physiol (1985). 2007 Apr;102(4):1510-9. doi: 10.1152/japplphysiol.01024.2006. Epub 2006 Dec 14.

    PMID: 17170205BACKGROUND
  • Charakida M, Masi S, Luscher TF, Kastelein JJ, Deanfield JE. Assessment of atherosclerosis: the role of flow-mediated dilatation. Eur Heart J. 2010 Dec;31(23):2854-61. doi: 10.1093/eurheartj/ehq340. Epub 2010 Sep 23.

    PMID: 20864485BACKGROUND
  • Huang AL, Silver AE, Shvenke E, Schopfer DW, Jahangir E, Titas MA, Shpilman A, Menzoian JO, Watkins MT, Raffetto JD, Gibbons G, Woodson J, Shaw PM, Dhadly M, Eberhardt RT, Keaney JF Jr, Gokce N, Vita JA. Predictive value of reactive hyperemia for cardiovascular events in patients with peripheral arterial disease undergoing vascular surgery. Arterioscler Thromb Vasc Biol. 2007 Oct;27(10):2113-9. doi: 10.1161/ATVBAHA.107.147322. Epub 2007 Aug 23.

    PMID: 17717291BACKGROUND
  • Mitchell GF, Parise H, Vita JA, Larson MG, Warner E, Keaney JF Jr, Keyes MJ, Levy D, Vasan RS, Benjamin EJ. Local shear stress and brachial artery flow-mediated dilation: the Framingham Heart Study. Hypertension. 2004 Aug;44(2):134-9. doi: 10.1161/01.HYP.0000137305.77635.68. Epub 2004 Jul 12.

    PMID: 15249547BACKGROUND
  • Rubinshtein R, Kuvin JT, Soffler M, Lennon RJ, Lavi S, Nelson RE, Pumper GM, Lerman LO, Lerman A. Assessment of endothelial function by non-invasive peripheral arterial tonometry predicts late cardiovascular adverse events. Eur Heart J. 2010 May;31(9):1142-8. doi: 10.1093/eurheartj/ehq010. Epub 2010 Feb 24.

    PMID: 20181680BACKGROUND
  • Bonetti PO, Pumper GM, Higano ST, Holmes DR Jr, Kuvin JT, Lerman A. Noninvasive identification of patients with early coronary atherosclerosis by assessment of digital reactive hyperemia. J Am Coll Cardiol. 2004 Dec 7;44(11):2137-41. doi: 10.1016/j.jacc.2004.08.062.

    PMID: 15582310BACKGROUND
  • Dhawan AP, D'Alessandro B, Fu X. Optical imaging modalities for biomedical applications. IEEE Rev Biomed Eng. 2010;3:69-92. doi: 10.1109/RBME.2010.2081975.

    PMID: 22275202BACKGROUND
  • Takagishi Y, Yamamura H. Purkinje cell abnormalities and synaptogenesis in genetically jaundiced rats (Gunn rats). Brain Res. 1989 Jul 17;492(1-2):116-28. doi: 10.1016/0006-8993(89)90894-9.

    PMID: 2752293BACKGROUND

MeSH Terms

Conditions

AtherosclerosisDiabetes MellitusCoronary Artery Disease

Condition Hierarchy (Ancestors)

ArteriosclerosisArterial Occlusive DiseasesVascular DiseasesCardiovascular DiseasesGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesCoronary DiseaseMyocardial IschemiaHeart Diseases

Study Officials

  • Timothy Chico

    University of Sheffield

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
BASIC SCIENCE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 18, 2017

First Posted

January 26, 2018

Study Start

January 11, 2016

Primary Completion

March 26, 2020

Study Completion

March 26, 2020

Last Updated

May 17, 2022

Record last verified: 2022-05

Locations