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Reference intervals Establishing and understanding reference intervals Changing reference intervals

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Title: Reference intervals Establishing and understanding reference intervals Changing reference intervals


1
Reference intervals- Establishing and
understanding reference intervals- Changing
reference intervals role of all actors in a
reference interval change and impact in the
clinical laboratory
  • Ferruccio Ceriotti
  • Chair IFCC committee on Reference Intervals and
    Decision Limits
  • Diagnostica e Ricerca San Raffaele, Milano, Italy

2
Reference Intervals interested parties
  • 1. Manufactures
  • DIRECTIVE 98/79/EC on in vitro diagnostic medical
    devices
  • ANNEX I
  • ESSENTIAL REQUIREMENTS
  • B. DESIGN AND MANUFACTURING REQUIREMENTS
  • 8. Information supplied by the manufacturer
  • 8.7. Where appropriate, the instructions for use
    must contain the following particulars
  • (l) the reference intervals for the quantities
    being determined, including a description of the
    appropriate reference population

3
Reference Intervals interested parties
  • 2. Clinical Laboratories
  • ISO 15189 Medical laboratories Particular
    requirements for quality and competence
  • 5 Technical requirements
  • 5.5.5 Biological reference intervals shall be
    periodically reviewed. If the laboratory has
    reason to believe that a particular interval is
    no longer appropriate for the reference
    population, then an investigation shall be
    undertaken, followed, if necessary, by corrective
    action. A review of biological reference
    intervals shall also take place when the
    laboratory changes an examination procedure or
    pre-examination procedure, if appropriate.

4
Reference Intervals interested parties
  • 3. Clinicians
  • ? different reference intervals from different
    laboratories? confusion between Reference
    Intervals and Decision Limits.
  • 4. Patients
  • ? same value can be considered normal or
    abnormal in different laboratories.

5
R.I. Traditional Method
  • Determine biological variables analytical
    interferences
  • Determine selection/exclusion/partitioning
    criteria
  • Obtain written consent and completed
    questionnaire
  • Categorize reference individuals
  • Exclude individuals as determined a priori
  • Insure an adequate number of reference
    individuals
  • Prepare reference individuals for sample
    collection
  • Collect samples
  • Analyze samples
  • Inspect frequency distribution of data
  • Identify data errors and outliers
  • Determine reference intervals (and confidence
    limits)
  • Document all of the previously mentioned steps
    and procedures.

6
Number Needed
  • for non-parametric technique,
  • n (100/P)-1
  • for p 2.5 (central 95), n (100/2.5) - 1
    39
  • problem with using n 39 is two-fold
  • Impossible to define confidence intervals
  • The lower and the upper values represent 2.5 and
    97.5 percentile overly sensitive to extreme
    values
  • To calculate confidence intervals, minimum n is
    120 (per partition)

7
R.I. present situation some confusion
  • Reasons
  • The requirement that each laboratory defines its
    own R.I. method-dependent results
  • Changes in methodology not accompanied by R.I.
    modification
  • Adoption of R.I. proposed by the manufactures
    (sources often not declared)
  • Adoption of literature data (without any critical
    appraisal)

8
Inorganic phosphate
Laboratories
9
ALT (IFCC method)Reference intervals (61 labs)
System A
System B
10
Possible solution
  • Common Reference Intervals defined
    internationally through multicenter trials

11
Rationale for common reference intervals
  • With a good level of standardization only
    population differences justify different R.I.
  • The use of the old reference intervals with the
    new methods can impair the clinical
    interpretation of the results
  • The absence of reliable reference intervals for
    the newly standardized methods hampers their
    adoption

12
Are common R.I. applicable?
  • Limitations
  • Biology population differences
  • Do they exist?
  • How big are the effects due to ethnicity or
    different life habits?
  • Pre-analytical and analytical
  • Standardization
  • Traceability

13
Ethnicity of CK reference values
Harris EK et al Clin Chem 1991371580-2
14
Specific protein
Myron Johnson A et al. Clin Chem Lab Med
200442792-9
15
Analytes with geographical (ethnical?) differences
Ichihara K. et al. Clin Chem 200854356
16
Analytes with and without geographical differences
  • With
  • LDH, Total protein, Globulin, Urea, C3, C4, IgG,
    CRP, Na, K, Cl, Inorganic phosphate
  • Without
  • AST, ALT, GGT, CK, Amylase, Albumin, Creatinine,
    Uric acid, Ca, IgA, IgM

From Ichihara K. et al. Clin Chem 200854356
17
Serum Creatinine reference intervals
18
Analytical requirements for the use of common R.I.
19
Clinical requirements for the use of common R.I.
20
Well defined reference interval (multicenter or
not)
Significant population differences
YES
NO
?
Application of the reference interval
Validation of the reference interval
21
Validation of an existing R.I.
  • A priori selection of 20 reference subjects
  • Formal outlier test
  • Apply one of the following techniques
  • Binomial test (insensitive if skewed population)
  • Kolmogorov-Smirnov test (but you need all the
    data)
  • Use Horn and Pesce robust technique to calculate
    R.I, if the proposed R.I. are inside the
    confidence limits you can accept them

22
Common reference intervals multicenter studies
possible approaches
  • Each center, properly standardized, analyzes its
    own fresh samples.
  • The samples are collected in the different
    centers, frozen and shipped to a central
    laboratory where all the analyses are performed.

23
Pros and cons of the 2 approaches
  • Approach 1 requires a rather complex preliminary
    phase, but uses native samples and the obtained
    results include the inter-laboratory variability
    it helps to improve the quality of participating
    laboratories.
  • Approach 2 is simpler, allows a better control of
    the analytical phase, but uses frozen samples
    thus introducing a variable not typical for the
    routine laboratories.

24
Multicenter reference interval studiesTwo examples
  • IFCC experiment for AST, ALT and GGT reference
    values
  • Asian project for common reference intervals

25
IFCC Multicenter enzyme Reference Intervals Study
  • It was a mix of the two approaches
  • part of the data were obtained by clinical
    laboratories using methods for which the
    traceability of the produced results to primary
    reference methods was experimentally verified
    (approach 1)
  • part of the data were obtained in one centralized
    laboratory analyzing frozen samples collected in
    other centers.

26
Standardization phase
  • Preparation of the material for trueness
    traceability control
  • 3 serum pools at borderline concentrations,
    minimally processed (filtering, freezing at
    -80C)
  • value assignment with a primary reference method
    by a network of three reference laboratories
    according to a defined protocol (three batches,
    two replicate measurements per batch)

27
Standardization phase
  • 2. Verification of trueness and precision of the
    participating laboratories
  • 3 replicate measurements in 5 different runs (if
    relevant with different calibrations) (total of
    15 results per laboratory)

28
Analytical performances during the preliminary
phase
29
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31
Multicenter R.I. study contribution of the
different centers ()
() after application of the exclusion
criteria () frozen samples
32
Multicenter R.I. study AST, ALT, GGT reference
population
In total 823 subjects, 389 males and 434 females,
682 Caucasians and 141 Asians
33
Exclusion criteria
  • Diabetes mellitus type 1 and type 2
  • Myopathies
  • Burns and muscle traumas
  • Hypothyroidism
  • Chronic nephropathies
  • Acute and chronic infection
  • Hepato-biliary diseases
  • Therapeutic drugs with influence on serum and
    plasma enzyme concentration (e.g. warfarin,
    antiepileptics, diphenylhydantoin, aminopyrin,
    antidepressants, analgesics).
  • Antibiotics
  • Pregnancy
  • BMI gt30
  • Heavy exercise in the previous days
  • Alcohol gt 30 grams per day

34
Exclusion criteria laboratory tests
  • Fasting Glucose gt 126 mg/dl (7.0 mmol/L)
  • Creatinine gt 0.2 mg/dl above URL
  • CK gt 300 U/L
  • CRP gt 12 mg/L
  • UA gt 8.0 mg/dl (475 µmol/L)
  • TG gt 200 mg/dl (2.26 mmol/L)
  • Chol gt 260 mg/dl (6.7 mmol/L)
  • Albumin lt 32 g/L
  • Erys (RBC) lt 4.0 gt 5.5 mil/µL (males), lt 3.4
    gt 5.2 mil/µL (females)
  • Hb lt 13 g/dl (130 g/L)(males), lt 11 g/dl (110
    g/L) (females)
  • WBC lt 3000/?L gt 12000 /?L
  • PLT lt 100 /nL
  • Hematocrit (HCT) lt 42 gt 52 (males), lt 37 gt
    47 (females)
  • MCV lt 80 gt 96 fL
  • HB surface antigen Positive
  • IgG antibodies anti HB core antigen Positive
  • Anti HCV antibodies Positive

35
ALT males

36
ALT males
130
97.5
ALT (U/L)
65
32.5
0
Nordic countries
Turkey (Bursa)
Beijing
Italy (Milan)
37
ALT malescorrelation with age
38
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40
Asian project
  • Exclusion criteria
  • BMIgt28,
  • consumption of ethanol gt70g/day,
  • cigarette smoking gt20 pieces,
  • under regular medications for chronic diseases
    (DM, hypertension, hyperlipidemia, allergic
    disorder, depression, etc),
  • recent (lt2 weeks) recovery from acute illness or
    surgery,
  • in pregnancy or within 1 year after childbirth.
  • A health-status questionnaire survey will be
    conducted to evaluate these factors and to obtain
    information regarding sources of regional
    differences in test results.

41
References for traceability (1)
42
References for traceability (2)
43
Reference intervals a shared responsibility
  • Manufactures provide reliable methods, able to
    provide traceable results support common
    reference intervals studies
  • International organizations and Scientific
    Societies organize multicenter studies provide
    guidelines on how to develop and apply reference
    intervals
  • Clinical laboratories implement and control
    carefully their methods verify and apply the
    suggested reference intervals

44
Conclusions
  • The possibility of providing common reference
    intervals applicable by any laboratory (able to
    produce results traceable to the reference
    measurement procedure) seems quite realistic, but
    probably not for all the analytes.
  • Common reference intervals have to be applied
    carefully, after adequate checks
  • A large amount of data is still missing, but
    efforts are in place to close these gaps, at
    least for the more common analytes.

45
Thank you!
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