Traceability in External Quality Assessment: How Weqas ensures traceability in EQA and stresses its importance to users. David Ducroq.

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Traceability in External Quality Assessment: How Weqas ensures traceability in EQA and stresses its importance to users David Ducroq Weqas Unit 6, Parc Tŷ Glas Llanishen Cardiff UK www.weqas.com

Programme Design: Lab and PoCT Serum Chemistry Lipids / Bilirubin ED Toxicology Urine Chemistry / Oxalate & Citrate Blood Gases / Co-oximetry Endocrine / Haematinics / Cardiac Marker / BNP Homocysteine / Bile Acids / Serum ACE / Serum HCG / Porphyrin / Ammonia / CRP / TDM / IS HbA1c POCT Creatinine Urine Drugs of Abuse Common Report format (quantitative)

Multiple samples are important Identifies components of both Imprecision and Inaccuracy (traceability across the measurement range) Identifies systematic errors Assesses method linearity required for ISO 15189 Powerful error detection tool

Value of Reference Targets Traceable to higher order Establishes method traceability for the lab requirement of ISO 15189 Highlights the pitfalls of using the trimmed overall mean as an accuracy target in EQA Schemes Useful in the post market vigilance of the IVD - Directive Required for UK MAPS Detailed in Participants Manual and on website

Reference Methods Flame Atomic Absorption/ Emission Spectrometry Sodium, Potassium, Calcium Magnesium, Lithium IFCC Enzymes AST, ALT, LDH, GGT HbA1c * * Provided by IFCC Ref lab, Netherlands ID-MS Progesterone Testosterone Cortisol Bile Acids Creatinine Cholesterol** Glucose Urate Triglyceride HDL *** ** Currently provided by CDC lab Rotterdam & Weqas Ref Lab ***Currently provided by CDC lab Rotterdam

Drugs Of Abuse / Therapeutic Drug Monitoring: Gravimetric values Measurand Range Covered Measurand (DOA; Urine) (TDM; Serum) Range Covered Amphetamine 0 3000 µg/l Amikacin 0 35 mg/l Benzodiazepine 0 1000 µg/l Carbamazepine 0 20 mg/l Barbiturate 0-1000 µg/l Digoxin 0 6 ug/l Buprenorphine 0-50 µg/l Gentamicin 0-20 mg/l Cocaine 0-1000 µg/l *Lamotrigine 0-30 mg/l Cannabis 0-150 µg/l Lithium 0 2.5 mmol/l 6-Acetylmorphine (heroin) 0-50 µg/l Methotrexate 0-1.5 umol/l Ketamine 0-3000 µg/l Phenobarbital 0-65 mg/l Methadone 0-1000 µg/l Phenytoin 0-30 mg/l EDDP 0-1000 µg/l *Teicoplanin 0-70 mg/l Methamphetamine 0-3000 µg/l Theophylline 0-30 mg/l Opiates 0 3000 µg/l Tobramycin 0-15 mg/l Phencyclidine (PCP) 0-100 µg/l Valproic acid 0-175 mg/l Tricyclic antidepressants 0-3000 µg/l Vancomycin 0-50 mg/l MDMA 0 3000 µg/l Amphetamines Group Screen Qualitative only High order drug/metabolite gravimetrically added to base material Pools mixed with the negative base material to produce a panel of intermediate pools. The weighed-in value incorporating purity of the spike used as target value. All microbalances are calibrated by ISO17025 accredited organisation

Hierarchy The WEQAS Report Target values used in Statistical Analysis Reference values used for bias plot /SDI calculation and σ score Method mean used for SDI calc if no ref and n>8 Overall mean used for SDI calc and bias plot if no ref and n <8 Analyser mean on report for information only

Analytical Specification Requirements The National QA Advisory Panel in the UK has devised a Minimum Analytical Performance Specification (MAPS) which has been adopted since 2010 Concentration Allowable Bias vs Reference Value Allowable variability Allowable Total Error Total Cholesterol 5.0 mmol/l 4.00% 2.70% 8.50% [Desirable 1 ] HDL-Cholesterol 1.0 mmol/l 5.20% 3.60% 11.10% [Desirable 1 ] 1.0 mmol/l 10.00% 3.60% 15.90% [Achievable] Glucose 7.0 mmol/l 2.20% 2.90% 6.90% [Desirable 1 ] 2.0 mmol/l +/- 10% absolute [Achievable] HbA1c 50 mmol/mol 2.2%* 2.5%* 6.3%* [Desirable 1 ] 50 mmol/mol 3.60% 2.50% 7.70% [Achievable] Creatinine 75 umol/l 3.80% 2.70% 8.20% [Desirable 1 ] 75 umol/l 5.00% 2.70% 9.50% [Achievable]

True Value Performance Criteria Target ± 9.5% Assesses how far the lab s results are away from the true value and general performance over time.

Traceability Communication to Users Reports sent to participants, published at conferences, journals, website etc. Annual Participant Meeting often features talks on traceability Example: Creatinine (presented at Euromedlab, Athens)

2% 1% Method Groups 2017 59% EQA Assigned Method Groups 38% Enzymatic Jaffe - IDMS Abaxis Piccolo Jaffe ID-MS Traceable Method Groups 38% 17% 12% 15% 12% Vitros ID-MS traceable Advia Chemistry AU2700/AU5400/AU5800 AU400/600/640/680 Architect DX Enzymatic methods users: the number of users risen from 20% in 2012 to 38% in 2017 Major group is the Roche Cobas, which will influence the Jaffe overall mean 2% 4% Major group again is the Roche Cobas, which will influence the enzymatic overall mean 67% Daytona Enzymatic Method Groups Cobas C Module 19% 6% 3% 5% Advia Chemistry AU2700/AU5400/AU5800 AU400/600/640/680 Modular Cobas C Module

% Bias Overall Method Groups Bias Plot 10 Overall Method Groups 5 0-5 -10-15 -20 75mmol/L MAPS level Overall Mean Enzymatic Jaffe - IDMS Abaxis Piccolo Vitros ID-MS traceable Fuji Dri-Chem +/- 5% +/- 3.8% 50 150 250 350 450 550 Creatinine (ID-GCMS, µmol/l)

% Bias Jaffe ID-MS Traceable Bias Plot 10 Jaffe ID-MS Traceable 5 0-5 -10-15 -20-25 Jaffe - IDMS Advia 1200/1650/1800/2400 AU2700/AU5400/AU5800 AU400/600/640/680 Integra Modular Architect DX Daytona Cobas C Module +/- 3.8% +/- 5% 50 150 250 350 450 550 Creatinine (ID-GCMS; µmol/l)

% Bias Enzymatic: Bias Plot 6 Enzymatic 4 2 0-2 -4 Advia 1200/1650/1800/2400 AU2700/AU5400/AU5800 AU400/600/640/680 Modular Cobas C Module +/- 5% +/- 3.8% -6 50 150 250 350 450 550 Creatinine (ID-GCMS; µmol/l)

In Summary Laboratories are scored against Reference Measurement Values where available Gravimetric spiking of material with higher order material is used as an alternative traceable target Both Reference Measurement and gravimetric target values aid in identification of methods where traceable calibration may be an issue Traceability of methods is therefore assured aiding ISO 15189 accreditation for laboratories The use of reference targets as opposed to comparison with mean data eloquently highlights the variability of results and reduces the pitfalls of laboratory trimmed data comparisons

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