Glucose Analytical Comparability Evaluation of the YSI 2300 STAT Plus and YSI 2900D Biochemistry Analyzers

Similar documents
FreeStyle Lite A Blood Glucose Meter That Requires No Coding

System accuracy evaluation of FORA Test N Go Blood Glucose Monitoring System versus YSI 2300 STAT Plus glucose analyzer following ISO 15197:2013

System accuracy evaluation of FORA Test N Go Blood Glucose Monitoring System versus YSI 2300 STAT Plus glucose analyzer following ISO 15197:2013

Clinical Evaluation for. Embrace No Code Blood Glucose Monitoring System

Bern Harrison, B.A., Cheryl Leazenby, B.S., and Solveig Halldorsdottir, Ph.D.

510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE

White Paper, Evaluation of WaveSense JAZZ Blood Glucose Monitoring System Analytical Performance to EN ISO 15197:2015 Standard

Equivalent Accuracy Evaluation of FORA Premium V10 Blood Glucose Monitoring System as Compared to Fora V30 Blood Glucose Monitoring System

EVALUATION OF THE PERFORMANCE OF THE TRUETRACK BLOOD GLUCOSE MONITORING SYSTEM USING THE ISO 15197:2003 ACCURACY AND USER EVALUATION REQUIREMENTS

Report. Evaluation of system accuracy of the blood glucose monitoring system VivaChek Ino according to DIN EN ISO 15197: 2013

Evaluation of Accuracy and User Performance of the TRUE METRIX Self-Monitoring Blood Glucose System

GlucoMen LX PLUS blood glucose and blood ketone meter. Accuracy Evaluation to New ISO 15197:2013, with Technical and Specification Data

Evaluation of Accuracy and User Performance of the TRUE METRIX Blood Glucose Monitoring System

Clinical Accuracy and User Performance of the TRUE METRIX AIR Blood Glucose Monitoring System

Method Comparison Report Semi-Annual 1/5/2018

Clinical Performance of the TRUE2go Blood Glucose Monitoring System Exceeds Minimum Criteria for Accuracy Using ISO 15197:2013

METHOD VALIDATION: WHY, HOW AND WHEN?

NICO /14 Nipro Diagnostics, Inc.

Aina Blood Monitoring System

C RITICAL C ARE 2. Angelo Manzoni, Susanna Zanardi, Pietro Zonca Jay Johnson. Glucose biosensor for whole blood analysis

SCIEX Vitamin D 200M Assay for the Topaz System

GUIDE TO THE EVALUATION OF COMMUTABILITY OF CONTROL MATERIALS

510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE

Forum for Collaborative HIV Research External Validation of CD4 and Viral Load Assays Paris, France June 29, 2007

Ultra Blue. Test Strips UNISTRIP. Charlotte, NC V2-10/25/2018 TECHNOLOGIES,LLC

Performance of three portable blood glucose monitoring devices used in a veterinary application

METHOD VALIDATION CASE

C RITICAL C ARE. Davide Colombo Kevin Flanagan Kevin Fallon. The IL Glucose Biosensor: Interfering Substance Studies.

Polymer Technology Systems, Inc. CardioChek PA Comparison Study

Performance Evaluation of B. Braun Omnitest 5 Blood Glucose Monitoring System for Self-Monitoring of Blood Glucose

1. PROTOCOL. Comparison Study Summary. Tuality Healthcare 324 SE 9 th Ave. Suite E Hillsboro, OR July 30, 2014

FreeStyle Mini Blood Glucose Results Are Accurate and Suitable for Use in Glycemic Clamp Protocols

Validity and Reliability of a Glucometer Against Industry Reference Standards

BLOOD GLUCOSE METERS ACCURACY REQUIREMENTS

(a) y = 1.0x + 0.0; r = ; N = 60 (b) y = 1.0x + 0.0; r = ; N = Lot 1, Li-heparin whole blood, HbA1c (%)

MARSHALLTOWN MEDICAL & SURGICAL CENTER Marshalltown, Iowa

Package ega. March 21, 2017

Accuracy and Precision in Point-of-Care Lipid Testing: CardioChek P A Point-of-Care Test System and PTS Panels Test Strips

The Virtues and Pitfalls of Implementing a New Test

1 PROTOCOL. Comparison Study Summary. Springs Memorial Hospital. Springs Memorial Hospital 800 W. Meeting St. Lancaster, SC (803)

USING THE ACCESS AMH ASSAY IN YOUR LABORATORY

METHOD VALIDATION CASE

Agenda. 15 Dec

POTASSIUM/K. 3.6 mmol/l

Technical Bulletin No. 162

Evaluation Report: Eurolyser CRP test (ST0100 and ST0102) on. CUBE analyser (CA0100)

A validation study of after reconstitution stability of diabetes: level 1 and diabetes level 2 controls

Selecting a Risk-Based SQC Procedure for a HbA1c Total QC Plan

Performance Characteristics of a New Single-Sample Freezing Point Depression Osmometer

Gentian Canine CRP Immunoassay Application Note for Abbott Architect * c4000

Determination of hemoglobin is one of the most commonly

HEMOCHRON. Whole Blood Coagulation Systems

The performance of Microdot Test Strips has been evaluated both in laboratory and in clinical tests.

Relationship between glucose meter error and glycemic control efficacy

It s Just a Waived Glucose, Isn t It?

Accuracy and Precision Performance of the Accu-Chek Mobile System. Introduction. Method

SAMPLE. Clinical and Laboratory Standards Institute Advancing Quality in Health Care Testing

Technical Bulletin No. 161

ISO INTERNATIONAL STANDARD

Blood Glucose Monitoring System

3. System Accuracy Evaluation LUX Hgb test 1. Samples

Basic knowledge of POCT instuments. The Tide Resort Bangsan Beach 18 June 2009

GD50. Simple. Accurate. Reliable. Test Simply. Live Better. All FORA Diamond Series Blood Glucose Monitoring Systems use FORA Diamond Test Strips.

510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE. Quantitative (Oxide Semiconductor Alcohol Sensor)

Smart & Simple Mobile Solutions.

Manual. Transfer step. Figure 1. Workflow comparison of manual phenylalanine assay and automated GSP Neonatal Phenylalanine assay

Urine/CSF Albumin Reagent. Urine/CSF Albumin Calibrator

Cell Culture Monitoring with the Vi-CELL MetaFLEX

GB/T Translated English of Chinese Standard: GB/T

Traditional approaches to Reference Intervals

EVALUATING THE UNCERTAINTY OF MEASUREMENT ON BLOOD'S GLUCOSE LEVEL

GlucCell TM SYSTEM USER S GUIDE Ver 2.1 CELL CULTURE GLUCOSE METER. Important Information. Intended Use. Caution. About the System

For In Vitro Diagnostic Use

Introduction. Study Objective. Methodology. Results. Data Analysis. Interpretation

1 PROTOCOL. Comparison Study Summary

IDEXX Catalyst One Chemistry Analyzer for In-house Measurement of Total Thyroxine (TT 4 ) Concentration in Serum from Dogs and Cats

Comparison of Three Whole Blood Creatinine Methods for Estimation of Glomerular Filtration Rate Before Radiographic Contrast Administration

Guide to Fulfillment of Measurement Uncertainty

Validation Case studies: the good, the bad and the molecular

Determination of Ethanol in Breath and Estimation of Blood Alcohol Concentration with Alcolmeter S-D2

GLUH PRINCIPLE REF B ANNUAL REVIEW Reviewed by. Date. Date INTENDED USE

Introduction. Study Objective. Methodology. Results. Data Analysis. Interpretation

Point-of-Care Blood Glucose Meter Accuracy in the Hospital Setting

Why do we need SD LipidoCare?

QMS TACROLIMUS APPLICATION BECKMAN COULTER AU480 /AU680 /AU5800

A New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device: Accuracy and User Performance Evaluation

Determination of Copper in Green Olives using ICP-OES

SODIUM/NA. See below for information on factors affecting results. Certain substances, such as drugs, may affect analyte levels in vivo.

Accuracy and Reliability of the Nova StatStrip Glucose Meter for Real-Time Blood Glucose Determinations during Glucose Clamp Studies

1.4 - Linear Regression and MS Excel

Statistical Considerations: Study Designs and Challenges in the Development and Validation of Cancer Biomarkers

COBAS, ACCU-CHECK INFORM, MODULAR and LIFE NEEDS ANSWERS are trademarks of Roche Roche

PROCEDURE. TITLE: Bedside Glucose Monitoring PC Laboratory. Issuing Department: Clinical Director Signature: Departments Involved:

BÜHLMANN fcal turbo. Calprotectin turbidimetric assay for professional use. Reagent Kit B-KCAL-RSET. Revision date:

In Vitro Diagnostic Glucose Test System

WHO Prequalification of Diagnostics Programme PUBLIC REPORT

Placement of Biomarker Analysis in a CLIA or Bioanalytical Laboratory

4/10/2017. Placement of Biomarker Analysis in a CLIA or Bioanalytical Laboratory

NEPHROCHECK Calibration Verification Kit Package Insert

Transcription:

Glucose Analytical Comparability Evaluation of the YSI 2300 STAT Plus and YSI 2900D iochemistry Analyzers Life Sciences Data for Life. TM YSI Life Sciences White Paper 91 Authors: Kevin Schlueter, PhD, Jay Johnson, PhD, Christopher Warner and William Miller ASTRACT ACKGROUND The YSI 2300 STAT Plus Glucose and Lactate Analyzer (YSI 2300) is a Class II in-vitro diagnostics (IVD) medical device, which is widely accepted as a method for reference measurements and system calibration by most manufacturers of blood glucose (G) monitoring systems. YSI has developed a new generation analyzer, the YSI 2900D iochemistry Analyzer (YSI 2900), employing the same biosensor technology as the YSI 2300, but is a non-ivd analyzer. As new systems must demonstrate high-quality analytical performance, a comparative study was conducted with the YSI 2900 and YSI 2300 to evaluate their precision and accuracy for human whole blood (W) and plasma. METHODS To assess validity and reliability, 288 human W and 288 plasma samples, across a range of values, were analyzed using two analyzers of each YSI model. Non-pooled samples from six lots of human blood from a local blood bank were used for the study. W and plasma comparability studies included linear regression, correlation, bias, Medical Decision Point (MDP) and error grid analysis. Within-run precision of glucose and human blood controls was performed as well. All analyzers were tested across a wide glucose range (0.0 750 mg/dl). RESULTS Linear regression analysis for paired YSI 2900 and YSI 2300 results showed high correlation (R 0.99) and similar regression statistics for both W and plasma. Within-run precision testing with both systems produced coefficients of variation (CVs) of <2% for all sample types and glucose levels. Consensus and Clark and consensus error grid analysis showed equivalent clinical accuracy with 100.0% (238/238) of W results and 100.0% (288/288) of plasma results within zone A. The YSI 2900 analyzer met all MDP criteria. CONCLUSION The YSI 2900 analyzer was comparable to the YSI 2300 analyzer, providing fast, reliable measurements of whole blood and plasma glucose concentrations over a wide range of values. 1 ysi.com/lifesciences

INTRODUCTION The YSI 2300 is a Class II IVD medical device designed for clinical diagnostics and sports physiology applications. Today, the YSI 2300 analyzer is widely accepted as a method for reference measurements and system calibration by most of the manufacturers of G monitoring systems. The YSI 2900 is a laboratory instrument intended for use in research, biotechnology and food-processing applications. Not indicated for human medical diagnostic use, this new generation analyzer has been increasingly adopted as a reference standard by G manufacturers, as it uses the same biosensor technology as the YSI 2300. Therefore, the aim of this study was to demonstrate equivalence of the YSI 2300 and YSI 2900 analyzers concerning glucose analytical performance using reference standards, human W, and human plasma samples. MATERIALS AND METHODS YSI 2300 AND YSI 2900 ANALYZERS oth YSI 2300 and YSI 2900 analyzers (YSI, Inc., Yellow Springs, OH USA) employed an enzyme-based, amperometric biosensor for measuring glucose concentrations. The biosensor used a glucose oxidase-containing membrane for oxidizing glucose to gluconolactone and hydrogen peroxide. The hydrogen peroxide was oxidized at the platinum anode, producing electrons. The electron flow was linearly proportional to the steady state hydrogen peroxide concentration and, therefore, to the concentration of glucose. Analysis time was approximately 60 seconds/sample. Two YSI 2300 and two YSI 2900 instruments were compared side-by-side. Each YSI analyzer was configured with the same calibration and analysis parameters, using the YSI 2300 5/15 and Normal Mode of operation (1, 2). The calibration point was set at 180 mg/dl. Samples were analyzed on both probes of each analyzer. Analyzer probes were designated as A or and or W, for the YSI 2900 and YSI 2300, respectively. All analyzers used the same lot of glucose oxidase membranes. Membrane replacement was not conducted during this study. DAILY MEMRANE AND LINEARITY CHECKS Daily membrane integrity and linearity checks were performed prior to conducting W and plasma sample analyses using YSI protocols (1,2). Each biosensor membrane was tested for structural integrity against YSI 2363 Potassium Ferrocyanide (KCN) solution (YSI, Inc., Yellow Springs, OH USA). YSI 1531 Glucose Linearity Standard, 9.00 g/l (YSI, Inc., Yellow Springs, OH USA), was used for the daily linearity testing. W AND PLASMA ANALYSIS W human blood samples were obtained from the Dayton Community lood Center (DCC) (Dayton, OH USA). Samples were drawn from volunteer community donors and collected in 5 ml Vacutainer tubes containing EDTA (ecton- Dickinson, Franklin Lakes, NJ USA). The W samples were refrigerated at DCC for 7 days and then transported to the YSI site under refrigerated conditions. YSI was blinded to all donor characteristics (name, gender, age, race, health, etc.). Hematocrit values were not forwarded with the samples. Prior to conducting the experiments, W glucose levels were analyzed on a YSI 2300 to verify sample glucose concentrations. The glucose levels were expected to be at 0 mg/dl due to metabolic glucose consumption by live blood cells. This was found to be true on all unspiked samples tested. The W samples were subsequently removed from refrigeration and spiked with a known concentration of glucose. The glucose spiking solution concentration was 200.0 mg/ml and made using a standard protocol (3). Assuming an average initial blood volume of 4.0 ml, spiking aliquot volumes were calculated to ensure glucose levels spanned the analytical range of the instruments. After spiking, the samples were mixed and equilibrated on a rocker for 20 30 minutes. After equilibration all W samples from each set were analyzed on each YSI instrument. No more than 5 minutes was allowed to elapse between each instrument analyses. Once each W sample set analysis was completed, tubes with remaining W were centrifuged in a refrigerated tabletop centrifuge at 3000 X G RCF for 15 minutes. Each sample tube s supernatant plasmas were transferred to corresponding labeled tubes for subsequent plasma analysis. Plasma analysis was conducted in the same manner as the W samples. At the close of the study all blood and plasma samples were disposed of by an authorized medical biohazard waste service. WITHIN-RUN PRECISION The within-run precision evaluation was conducted using a YSI glucose standard and a whole blood glucose control. Forty replicates of YSI 2715 Glucose Standard, 400 mg/dl, (YSI, Inc., Yellow Springs, OH USA) were run on each analyzer. YSI 2715 is a NIST-traceable glucose standard. io-rad Meter Trax Trilevel human blood glucose controls (io-rad Laboratories, Irvine, CA USA) were used for the whole blood precision evaluation. The control kit consisted of low, mid and high glucose concentrations as specified by 2 ysi.com/lifesciences

the manufacturer (4). The io-rad controls were refrigerated and prepared per the manufacturer s recommendations prior to analysis (4). lood glucose precision tests were performed in replicates of seven samples for each analyzer. The coefficient of variation (CV) was calculated for the YSI and blood glucose precision tests. ANALYZER ACCURACY Six sets of 8 W and plasma samples were analyzed over a 6-day period, with each set analyzed on its own respective day. All samples were run in triplicate for each probe, providing a total of six analyses per sample. Thus, a total of 288 W and 288 plasma analyses were used for the linear regression, bias and MDP evaluations. The paired results from the YSI 2300 and YSI 2900 analyzers were plotted against each other using Data Innovations EP Evaluator software (S. urlington, VT USA) for regression, bias and MDP analysis. Deming regression analysis was chosen based on the assumption that both analyzer models were subject to measurement error and that the analytical methods were essentially identical (5). The correlation between YSI model results were analyzed using linear regression analysis. MDP s were set at 45 mg/dl, 100 mg/dl, 126 mg/dl and 180 mg/dl based on the prescribed guidelines set by the American Diabetes Association and Statland (6,7). MDP s were calculated by the EP Evaluator software application using Deming linear regression. Clinical accuracy was evaluated using consensus (Parkes) and Clark error grid analysis, which categorizes analyzer results according to the degree of clinical risk posed by an inaccurate measurement (8,9). Data Innovations EP Evaluator software was used to analyze the data. RESULTS AND DISCUSSION DAILY MEMRANE & LINEARITY CHECKS All instruments utilized for the study were required to pass daily performance checks prior to analyzing samples. For acceptable glucose oxidase membrane integrity, a FCN test value of 5 mg/dl is required. FCN values for all membranes were well below 5 mg/d, indicating structurally intact membranes. The acceptable range for the 9.00 g/l glucose linearity standard was 8.55 9.45 g/l, which is ± 5% of the linearity check point. All instruments met the linearity specifications for each day of testing. WITHIN-RUN PRECISION The YSI 2300 and YSI 2900 analyzers demonstrated similar within-run precision for both the YSI glucose standard and io-rad blood glucose controls. The CVs for each system were below 2%, which met YSI s CV specification of 2% (Table 1). Table 1: Summary of Within-run Precision Sample YSI Glucose Standard io-rad Low Control io-rad Mid Control io-rad High Control Target glucose (mg/dl) *n=4 due to limited sample availability YSI 2300-A YSI 2300- YSI 2900-A YSI 2900-400 ± 20 1.21 1.44 1.81 1.87 77 ± 32 0.44 1.53 1.00 0.45 153 ± 49 0.54 1.36 1.57 0.94 363 ± 102 0.64* 0.74 1.64 1.73 A Figure 1: Deming regression analysis of glucose in W (A) and Plasma () obtained with the YSI 2900 versus the YSI 2300. Vertical and horizontal dotted lines represent MDP s (45 mg/dl, 100 mg/dl, 126 mg/dl and 180 mg/dl). 91 I White Paper I A Glucose Analytical Comparability Evaluation of the YSI 2300 STAT Plus and YSI 2900D iochemistry Analyzers 3

A Figure 2. Measurement bias of glucose in W (A) and Plasma () obtained with the YSI 2900 versus the YSI 2300. Vertical dotted lines represent MDP s (45 mg/dl, 100 mg/dl, 126 mg/dl and 180 mg/dl). REGRESSION ANALYSIS AND IAS A total of 288 W and 288 plasma samples, representing a wide range of blood glucose concentrations (W: 0.0 650 mg/dl, plasma: 0.0 750 mg/dl), were analyzed for Deming linear regression and bias. Scatter plot bounds were set at 5.0% total allowable error. Linear regression analyses for paired YSI 2900 and YSI 2300 results showed high correlation (R 0.99) and similar regression statistics for both W and plasma (Figure 1 and Table 2). The 95% confidence intervals for both slope and intercept contained the values of 1.00 and 0.00, respectively, further indicating statistical equivalence. Table 2: Regression Analysis Whole lood Plasma 95% Confidence Interval for each YSI 2900 MDP includes the corresponding YSI 2300 MDP. MDP analysis for W and plasma are shown in Tables 3 and 4, respectively. Comparison of the MDP s showed a high degree of correlation between the instruments. Table 3: Medical Decision Point Analysis of W Samples YSI 2300 YSI 2900 95% Confidence Limit MDP Predicted MDP low High 45 45.0 44.5 45.5 100 100.1 99.7 100.5 126 126.1 125.7 126.5 180 180.2 179.8 180.5 Slope 1.001 (0.998 to 1.004) 1.002 (0.998 to 1.006) ias for both W and plasma were evenly distributed around the zero line (Figure 2). Mean percent bias was low for YSI 2900 W (0.1%) and plasma ( 0.2%). MEDICAL DECISION POINT ANALYSIS A MDP is an analyte concentration at which medical decisions change. If the concentration is to one side of the MDP, one decision is made; if on the other side of the MDP, a different decision is made (5). Therefore, it is particularly important that both the YSI 2300 and YSI 2900 agree at the MDPs. oth analyzers are considered statistically identical when the 4 Intercept -0.0029 (-0.5791 to 0.5849) -1.1437 (-2.5193 to 0.2320) Correlation Coefficient (R) 0.9997 0.9994 95% Confidence Intervals are shown in parentheses Table 4: Medical Decision Point Analysis of Plasma Samples YSI 2300 YSI 2900 95% Confidence Limit MDP Predicted MDP low High 45 44.0 42.7 45.2 100 99.1 98.0 100.2 126 125.2 124.1 126.2 180 179.3 178.3 180.3 ysi.com/lifesciences

ERROR GRID ANALYSIS Consensus and Clark error grid analysis of YSI 2300 (reference method) and YSI 2900 (alternate method) W and plasma samples were conducted within the analytical range of 0.0 550.0 mg/dl. Mean % error for W and plasma was 1.8% and 2.5%, respectively. oth error grids demonstrated analytical comparability and clinical accuracy as 100% (288/288) of W and 100% (238/238) of plasma results were located in zone A (Figures 3 and 4, Table 5). Table 5: Number and Percentage of Results within Consensus Error Grid Sample Type Zone A Zone Zones C, D & E Whole lood Plasma 288/288 0/288 0/288 (100.0%) (0.0%) (0.0%) 238/238 0/238 0/238 (100.0%) (0.0%) (0.0%) Zone A = no effect on clinical action (clinically accurate); Zone = altered clinical action little or no effect on clinical outcome; Zone C = altered clinical action likely to affect clinical outcome; Zone D = altered clinical action could have significant medical effect; Zone E = altered clinical action could have dangerous consequences A Figure 3. Clinical significance inaccuracy measurements of YSI 2900 W samples by Clarke (A) and Consensus () Error Grid analysis. The reference value represents the YSI 2300 method. The measured value represents the YSI 2900 method. A Figure 4. Clinical significance inaccuracy measurements of YSI 2900 plasma samples by Clarke (A) and Consensus () Error Grid analysis. The reference value represents the YSI 2300 method. The measured value represents the YSI 2900 method. CONCLUSIONS Data collected on the YSI 2900 analyzers indicate that the analyzer provides precise and accurate whole blood and plasma glucose readings across a wide range of blood glucose concentrations. ased on results of this study, the YSI 2900 demonstrated analytical comparability to that of the YSI 2300. ACKNOWLEDGEMENTS The authors gratefully acknowledge the contributions of Gerry Pitts, who assisted with the analyzer preparation and sample analysis, and arry Uffindell for his technical assistance. 91 I White Paper I A Glucose Analytical Comparability Evaluation of the YSI 2300 STAT Plus and YSI 2900D iochemistry Analyzers 5

REFERENCES 1. User s Manual for YSI 2300 STAT Plus Glucose and Lactate Analyzer. 2009. https://www.ysi.com/file%20library/documents/ Manuals/YSI-2300-Stat-Plus-manual-j.pdf 2. User s Manual for YSI 2900D Analyzer. 2016. https://www.ysi.com/ysi-2900-nutrient-biochemistry-analyzer 3. ACCU-CHECK and AccuData Systems Evaluation Protocol. Glucose Spiking Protocol for Glucose Meter Evaluations. Roche Diagnostics. 2012. 4. io-rad Meter Trax Trilevel Control: Low, Mid and High Package Insert. io-rad Laboratories. 2017. 5. Rhoads DG. Lab Statistics, A Practical Approach to Method Evaluation. Fifth Edition: South urlington, VT; Data Innovations, 2012. 6. American Diabetes Association. Classification and Diagnosis of Diabetes. Diabetes Care. 2015 Jan; 38(Supplement 1): S8-S16. 7. Statland E. Clinical Decision Levels for Laboratory Tests, Second Edition: Oradell NJ; Medical Economics ooks, 1987. 8. Clarke WL, Cox D, Goder-Frederick LA, Carter W, Pohl SL. Evaluating clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care. 1987;10(5):622-8. 9. Parkes JL, Slatin SL, Pardo S, Ginsberg H. A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose. Diabetes Care. 2000;23(8):1143-8. 10. CLIA proficiency testing criteria for acceptable analytical performance: Federal Register 1992 Feb 28; 57(40):7002-186 11. International Conference on Harmonization (ICH), Guideline for Good Clinical Practice: Consolidated Guidance (E6). FDA. 1996. 12. Krouwer JS, Cembrowski GS. A Review of Standards and Statistics Used to Describe lood Glucose Monitor Performance. Journal of Diabetes Science and Technology. 2010;4(1):75-83. 13. CLSI. Measurement Procedure Comparison and ias Estimation Using Patient Sample; Approved Guideline, Third Edition. CLSI Document EP09-A3. Wayne, PA: Clinical and Laboratory Standards Institute; 2013. YSI Life Sciences develops and manufactures scientific instruments, sensors and systems that serve a variety of scientific and industrial markets worldwide. YSI has a long history in the life sciences and bioanalytical markets, most notably with our introduction of the world s first commercial whole blood glucose analyzer in 1975. Today there are over 10,000 YSI instruments installed around the world, trusted in critical situations to provide the most accurate data in the shortest time. Web: www.xylem-analytics.asia email: analytics.asia-pacific@xyleminc.com 2017 Xylem, Inc. All rights reserved. Life Sciences Data for Life. TM 6