This clinical investigation will evaluate two contactless optical devices based on spatial frequency domain and laser speckle technology for quantification of the skin micro-circulation in patients with diabetes mellitus type 1.
This clinical feasibility study aims to evaluate the potential of contactless and non-invasive technologies for measurement of skin microcirculatory properties and their regulatory function in healthy individuals and patients with diabetes type 1. The clinical investigation incorporates two investigational devices: * Neko Health TCI P4: a contactless optical device based on SFDI technology, to be used for quantification of the skin microcirculation via molecular composition, such as haemoglobin / blood volume and oxygen concentrations. * Perimed Multiflow: a contactless optical device based on laser speckle technology, to be used for quantification of the skin micro-circulation via speed resolved perfusion based on movement of the red blood cells. These technologies are promising tools for diagnostic support of pathology in the microcirculation, such as diabetic microangiopathy. Since they are imaging technologies, collecting data over a two-dimensional surface of the skin; they may be more robust than single-point measurements as well as allowing for quantification of differences and distribution over different skin sections. The two investigational devices are good complements, as the TCI P4 can quantify composition (concentration of molecules) and the MultiFlow can quantify flow properties (perfusion), this way one gets a good foundation to study the key properties of the micro-circulation: blood volume, oxygenation and hemodynamics. The state of the art concerning diabetic complications and PAD (Peripheral Arterial Disease) in clinical practice is currently not proactive, but rather aimed towards reactive treatment, management, and monitoring during the later phase of tissue damage and microvascular impairment. The aim with the investigation is to find indication of disease / pathology at an early stage, by evaluation of parameters / physiological changes before manifestation of clinical complications. The state-of-the-art guidelines on diagnosis, prognosis, and management of PAD in patients with foot ulcers and diabetes are well described in the 2023 WGDF Guidelines on the Prevention and Management of Diabetes-related Foot Disease. These guidelines are based on pressure-based measurements, ABI (Ankle Brachial Index), TBI (Toe Brachial Index) and tcpO2. The pathophysiological features of PAD and diabetes foot ulcers is primarily due to altered blood perfusion and tissue oxygenation whereas the investigational device is assessing the micro-circulation (smaller vessels). However, since the micro-circulation is connected downstream to the larger vessels (macro-circulation) its perfusion will be affected by both macro- and micro-circulatory factors. Therefore, the investigational device may enable finding early indications of pathology regardless of if the issue starts in the macro- or micro-circulation. Furthermore, micro-circulatory changes correlated to PAD and diabetes in skin tissue has been proven in published research, for skin in feet \[1\], as well as skin in the forearm \[2\], \[3\]. The hypotheses will be analysed by correlation analysis (simple regression coefficients) between physiological response and the measured parameters, along with other analytical methods suitable for understanding these correlations. Interpretation of the observed physiological response will be based on theoretical background as well as results from the comparator devices. Data of patients with diabetes type 1 and different severities of clinical microangiopathy will be compared to healthy controls, in order to see if responses are altered by diabetes microangiopathy and if they can be isolated from normal variation in the control group. Furthermore, the hypothesis is also that different body sites are affected differently and at different stages of pathology, due to the local properties and environment of the different sites. The relation in properties between the sites may also be altered by diabetes microangiopathy. For example, peripheral body sites are usually seen to be affected first by pathology. The following body sites will be investigated: * Volar side of forearm * Palm of hand * Dorsal and plantar side of feet The main outcomes are listed below, however all generated datatypes of each examination will be analysed for any correlations between them and the status of the patient, to ensure that important correlations and learnings are not missed, even if the specific correlation was not expected.
Study Type
OBSERVATIONAL
Enrollment
400
VO Medicinska Specialiteter, Danderyd Hospital
Stockholm, Sweden
RECRUITINGCorrelation between investigational device-derived energy in endothelial band and endothelial pathology
Correlation between SFDI- and laser speckle-derived endothelial energy band (perfusion, oxygenation) and blood marker indication of endothelial cell /glycocalyx deterioration and/or endothelial cell response from iontophoresis provocation.
Time frame: Same day as enrolment.
Correlation between investigational device-derived energy in the myogenic band in the case of hypertension and myogenic related pathology
Association between SFDI- and laser speckle-derived myogenic energy band and presence of hypertension, and/or indication of reduced smooth muscle cell response from iontophoresis provocation.
Time frame: Same day as enrolment.
Correlation between investigational device-derived energy in the neurogenic band and indication of neuropathy
Correlation between SFDI- and laser speckle-derived neurogenic energy band and indication/diagnosis of neuropathy, based on clinical assessment or electronic health records.
Time frame: Same day as enrolment.
Correlation between investigational device-derived brachial post-occlusive hyperemia (PORH) peak oxygenation and degree of neuropathic angiopathy
Correlation of investigational device-derived peak oxygen saturation amplitude from brachial PORH test against degree of microangiopathy/ microvascular complications.
Time frame: Same day as enrolment.
Difference in response (perfusion) to mild local heat provocation between diabetes type 1 and healthy controls
Difference in IMD-derived variables of perfusion between healthy controls and patients with diabetes type 1 during mild local heat provocation (\~30ᵒC).
Time frame: Same day as enrolment.
Difference in response (oxygenation) to mild local heat provocation between diabetes type 1 and healthy controls
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Difference in IMD-derived variables of oxygenation between healthy controls and patients with diabetes type 1 during mild local heat provocation (\~30ᵒC).
Time frame: Same day as enrolment.
Difference in response (hemoglobin concentration) to mild local heat provocation between diabetes type 1 and healthy controls
Difference in IMD-derived variables of hemoglobin concentration between healthy controls and patients with diabetes type 1 during mild local heat provocation (\~30ᵒC).
Time frame: Same day as enrolment.
Difference in response (perfusion) to increased local heat provocation between diabetes type 1 and healthy controls
Difference in IMD-derived variables of perfusion between healthy controls and patients with diabetes type 1 during increased local heat provocation (\~35ᵒC).
Time frame: Same day as enrolment.
Difference in response (oxygenation) to increased local heat provocation between diabetes type 1 and healthy controls
Difference in IMD-derived variables of oxygenation between healthy controls and patients with diabetes type 1 during increased local heat provocation (\~35ᵒC).
Time frame: Same day as enrolment.
Difference in response (hemoglobin concentration) to increased local heat provocation between diabetes type 1 and healthy controls
Difference in IMD-derived variables of hemoglobin concentration between healthy controls and patients with diabetes type 1 during increased local heat provocation (\~35ᵒC).
Time frame: Same day as enrolment.
Difference in response (perfusion) to high local heat provocation between diabetes type 1 and healthy controls
Difference in IMD-derived variables of perfusion between healthy controls and patients with diabetes type 1 during high local heat provocation (\~40-44ᵒC).
Time frame: Same day as enrolment.
Difference in response (oxygenation) to high local heat provocation between diabetes type 1 and healthy controls
Difference in IMD-derived variables of oxygenation between healthy controls and patients with diabetes type 1 during high local heat provocation (\~40-44ᵒC).
Time frame: Same day as enrolment.
Assessment of distribution of oxygenation in foot soles of patients with diabetic feet compared to healthy controls
Comparison of the distribution oxygenation on the foot sole in diabetic feet of risk level 2-4 (levels as set by national guidelines) and feet of healthy controls with no evidence of cardiovascular disease.
Time frame: Same day as enrolment.
Assessment of distribution of perfusion in foot soles of patients with diabetic feet compared to healthy controls
Comparison of the distribution of perfusion on the foot sole in diabetic feet of risk level 2-4 (levels as set by national guidelines) and feet of healthy controls with no evidence of cardiovascular disease.
Time frame: Same day as enrolment.
Assessment of if the addition of thermal provocation can increase contrasts between diabetic feet and feet of healthy controls
Comparison of the distribution during response to heat provocation in diabetic feet compared to feet of healthy controls to assess contribution to differences between groups.
Time frame: Same day as enrolment.
Assessment of if the addition of investigational device-derived water concentration data can increase contrasts between diabetic feet and feet of healthy controls
Comparison of the distribution of other variables such as SFDI-derived water concentration in diabetic feet compared to feet of healthy controls to assess contribution to differences between groups.
Time frame: Same day as enrolment.