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Dario Blood Glucose Monitoring System

LabStyle Innovations Ltd. • Clinical Chemistry • 12/21/2015

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The Dario Blood Glucose Monitoring System provides a method for individuals with diabetes to quantitatively measure their blood glucose levels from capillary whole blood using a glucose oxidase-based amperometric sensor integrated with a mobile application for data display and management. The system has demonstrated accuracy, precision, and usability in accordance with ISO 15197:2003 through various performance evaluations, including studies on hematocrit effects, operating conditions, and potential interferences.

Summary

The Dario Blood Glucose Monitoring System is designed for individuals with diabetes to perform self-testing of their blood glucose levels. It quantitatively measures glucose in fresh capillary whole blood samples drawn from the fingertips, aiding in the home monitoring of diabetes control effectiveness. The system comprises the Dario Blood Glucose Meter (which includes an integrated lancing device and is powered via a smart mobile device's audio jack), Dario Glucose Test Strips, Dario Glucose Control Solutions, and the Dario App, which serves as the display component on an Apple iOS smart mobile device. The underlying test principle involves an amperometric measurement: glucose in the blood sample reacts with glucose oxidase on the test strip, generating a small electrical current that the meter measures. An internal algorithm then calculates the blood glucose level, which is displayed on the mobile app within approximately six seconds. The system underwent comprehensive performance evaluations according to ISO 15197:2003 standards. System accuracy studies demonstrated that, compared to a reference method, 100% of individual glucose results were within ±15 mg/dL for concentrations below 75 mg/dL, and 99.6% were within ±20% for concentrations at or above 75 mg/dL. Precision studies yielded a coefficient of variation (CV) of ≤ 4% for glucose concentrations ≥100 mg/dL and a standard deviation (SD) of ≤ 3 mg/dL for concentrations <100 mg/dL. The device showed linearity across a blood glucose measuring range of 20-600 mg/dL (R²=0.998) and was found to be accurate within a hematocrit range of 20% to 60%, operating temperatures of 10-45°C, relative humidity of 10-90%, and altitudes up to 10,000 feet. The required sample volume is 0.3µL. User performance studies confirmed its accuracy when used by lay individuals, and disinfection and interference studies further validated its robustness and identified specific substance limitations.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

Blood Glucose MonitoringDiabetes ManagementSelf-TestingCapillary Whole BloodGlucose OxidaseAmperometryMobile ApplicationISO 15197:2003Quantitative MeasurementIn Vitro Diagnostic

Device Metadata

Submission Number
K150817
Company
LabStyle Innovations Ltd.
Panel
Clinical Chemistry
Product Code
N/A
Data Type
Signals
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. What is the long-term stability and reliability of the glucose oxidase enzyme on the test strips under various storage conditions beyond those explicitly tested in the documentation?; How does the Dario system's performance, particularly its mobile application's data management and user interface, compare to other commercially available mobile-connected glucose monitoring systems in longitudinal, real-world patient studies?; What specific software verification and validation methodologies were employed to ensure the robustness, security, and privacy of patient data handled by the Dario mobile application, especially against potential cybersecurity threats?; For the identified interfering substances, what is the potential clinical impact at their maximum 'no significant interference' concentrations, especially for patients with comorbidities or those on multiple medications?; Were any studies conducted to assess the learning curve and ease of use for patient populations with limited technological literacy, such as elderly individuals, and what are the recommended support strategies for these users?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score45/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment✓ Detected in Summary
Postmarket Plan✓ Detected in Summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials(sensor)
✓ Detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM, HBOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Not detected in AI-generated device summary: SBOM, SaaSBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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Dario Blood Glucose Monitoring System - LabStyle Innovations Ltd. | ESL FDA AI Device Intelligence