Clinical trial NCT02225379: Development and Assessment of Feasibility of Non-invasive Multiple Sensor Hypo-Sense as a Tool for Detection of Hypoglycemia
Official title: Development and Assessment of Feasibility of Non-invasive Multiple Sensor Hypo-Sense Sensor as a Tool for Detection of Hypoglycemia - Exploratory Study for Prototype Rev 1
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Type 1 Diabetes
Nocturnal Hypoglycemia
Keywords: Type 1 Diabetes
Hypoglycemia detection
Non-invasive sensor
Nocturnal hypoglycemia
Lead sponsor: Rabin Medical Center
Sponsor class: OTHER
Collaborators: name: Night Sense Ltd
First posted: 2014-08-26
Enrollment: 3
Sex: ALL
Minimum age (years): 18
Maximum age (years): 65
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: NA
Intervention model: SINGLE_GROUP
Primary purpose: PREVENTION

Brief summary: Hypo Sense is a non- invasive method for detection of hypoglycemia. The Hypo Sense combines an array of non-invasive sensors which monitors the patient's physiological parameters (heart \& respiration rate, perspiration, skin temperature and arm motion) designed as a wrist watch device.

The Hypo sense is intended for monitoring symptoms of hypoglycemia in diabetic patients in hospital environment among type 1 and type 2 diabetes adults as an adjunctive device to reference methods

The proposed study will be consisting of two main segments:

The primary aim of segment 1 of the study is data collection and calibration of the Hypo Sense sensor prototype compared to standard invasive reference glucometer.

The primary aim of segment 2 of the study is to validate the Hypo Sense prototype performance in detecting hypoglycemic events.

During the first segment of the study we intend to collect in parallel measurements of blood glucose using reference method (capillary glucometer) and continuous data generated by the non- invasive study device during approximately 4 hours, in which a hypoglycemic event will be induced.

The reference and study device data will be analyzed using multivariate regression model to formulate a calibration algorithm model. This model will translate the set of the physiological recorded parameters into detection of hypoglycemic events.

During the second segment of the study we intend to evaluate the validity of the Hypo Sense sensor ability to detect hypoglycemic events compared to standard invasive reference method (capillary glucometer).


Eligibility criteria: Inclusion Criteria:

* Signing an inform consent form prior to any trial related procedure
* Type 1 diabetes diagnosed at least 12 months prior to study inclusion
* Age \> 18 years old

Exclusion Criteria:

* Participating in other device or drug study
* Any significant disease or condition, including psychiatric disorders that in the opinion of the investigator is likely to affect patient's compliance or ability to complete the study
* Patients with one or more of the following diseases: malignancy, myocardial insufficiency, nephrologic disease or any other chronic disease
* Chronic skin problem in the lower inner arm
* Pregnant or breast feeding women

Primary outcomes:
measure: Sensitivity
timeFrame: At final visit ( week 4 for participants at segment 1 of the study and week 6 for participants at segment 2 of the study)
measure: Positive Predictive Value of the hypo-Sense
timeFrame: At final visit ( week 4 for participants at segment 1 of the study and week 6 for participants at segment 2 of the study)
Secondary outcomes:
Other outcomes:
Locations:
city: Petah-Tikva
country: Israel
facility: Schneider Children's Medical Center
Study officials:
affiliation: Schneider Children's Medical Center
name: M Phillip, Prof
role: PRINCIPAL_INVESTIGATOR
References: