- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05791929
LSCI and Thermography in Diabetic Foot Patients Affected by Ulcer(s): (MY-FOOT-B) (MY-FOOT-B)
Image Features of LSCI and Thermography for Prediction of Healing Trajectory in Diabetic Foot Patients Affected by the First (or Successive) Ulcer: (MY-FOOT-B)
The objective of this observational study is to predict healing at 26 weeks after the first visit in patients affected by the first ulcer, by means of combined data monitoring of Laser Speckle Contrast Imaging (LSCI) and temperature measurements during patient visits in hospital.
In order to achieve this objective, study aims to produce a logistic regression model and then evaluate its prognostic ability by means of the area under the curve (AUC) of the receiver-operating-characteristics (ROC) curve.
Patients with diabetes mellitus and suffering from ulcer and receiving health care will undergo regular microcirculatory measurements including LSCI scans in and around the ulcer location and thermography.
Study Overview
Status
Detailed Description
The study aims to predict healing at 26 weeks after the first visit in patients affected by the first ulcer, by means of combined data monitoring of Laser Speckle Contrast Imaging (LSCI) and temperature measurements during patient visits in hospital.
In order to achieve this objective, the study aims to produce a logistic regression model and then evaluate its prognostic ability by means of the area under the curve (AUC) of the receiver-operating-characteristics (ROC) curve.
The variables evaluated for the model will include demographic and baseline characteristics of the patients, location and seriousness of the ulcer, alongside LSCI and temperature measurements at baseline and different timepoints. The development of the model will include a rigorous variables selection in order to produce a parsimonious model.
In the method proposed by Mennes, LSCI measurements at baseline, biological zero, post occlusion peak, and other parameters like non-invasive blood pressure measurements were individually evaluated as possible prognostic factors of healing trajectory at 26 weeks. All these parameters, when assessed at their highest possible value of sensibility and specificity, produced AUCs always inferior to 0.65. The highest value of AUC (0.625) was reached by toe pressure parameter when calculated using a threshold value of 54 mmHg.
From diagnostic literature, an AUC of ≥ 0.8 is considered excellent result, while an AUC < 0.7 is considered less than acceptable. Since the Mennes's method showed these results, study investigators set the AUC resulting from the model under the null hypothesis (H0) to be equal to 0.65. By including all these parameters, alongside the other mentioned variables, in a single prognostic model, study investigators expect to increase this prognostic ability. Therefore, in this study, investigators would like to detect an AUC ≥ 0.8 (H1). With these hypotheses, a power of 80%, a one-sided I type error of 5% and a prevalence of 43% of healed patients at 26 weeks, a total of 82 patients should be enrolled.
Study Type
Contacts and Locations
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- a confirmed diagnosis of type 1 or type 2 diabetes mellitus (more than 5 years from diagnosis),
- aged between 18 and 80 years,
- patients affected by one foot ulcer (defined as break of the skin of the foot that involves at least the epidermis and part of the dermis )
- signed informed consent.
Exclusion Criteria:
- having multiple foot ulcers,
- having an amputation of the forefoot or an amputation at a more proximal location of the foot (e.g., midfoot or hindfoot),
- severe foot infection (IWGDF grade 4),
- being incapacitated or undergoing cancer treatment.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Area Under ROC curve generated by the statistical model able to discriminate between healing and not healing ulcers
Time Frame: at 26 weeks after the first visit in patients affected by the first ulcer
|
to discriminate between healing and not healing ulcers by means of combined data monitoring of Laser Speckle Contrast Imaging (LSCI) and temperature measurements during patient visits in hospital
|
at 26 weeks after the first visit in patients affected by the first ulcer
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The predictive positive and negative value related to the score test, based of calculation of likelihood ratio.
Time Frame: at 26 weeks after the first visit in patients affected by the first ulcer
|
The predictive positive and negative value related to the score test, based of calculation of likelihood ratio.
|
at 26 weeks after the first visit in patients affected by the first ulcer
|
The AUC of the models estimated according to different sites of ulcers.
Time Frame: at 26 weeks after the first visit in patients affected by the first ulcer
|
The AUC of the models estimated according to different sites of ulcers.
|
at 26 weeks after the first visit in patients affected by the first ulcer
|
Collaborators and Investigators
Investigators
- Principal Investigator: Cesare Miranda, MD, Pordenone Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Cardiovascular Diseases
- Vascular Diseases
- Glucose Metabolism Disorders
- Metabolic Diseases
- Skin Diseases
- Immune System Diseases
- Autoimmune Diseases
- Endocrine System Diseases
- Diabetic Angiopathies
- Leg Ulcer
- Skin Ulcer
- Diabetes Complications
- Diabetic Neuropathies
- Foot Diseases
- Diabetes Mellitus
- Diabetes Mellitus, Type 2
- Diabetic Foot
- Foot Ulcer
- Ulcer
- Diabetes Mellitus, Type 1
Other Study ID Numbers
- MY-FOOT-B
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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