Transcript Outcome-related test quality - STT

Outcome-related test quality
Linda Thienpont
[email protected]
Postgraduaat & navormingsprogramma klinische biologie (29-11-2007)
Vernieuwing & evaluatie van kwaliteit van immunoassay doseringen
Overview
Introduction
• Background
• Analytical quality – An issue?
Outcome-related test quality –
TSH, subclinical hypothyroidism
Postgraduaat en navormingsprogramma, UZ Brussel, 29-11-2007
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Background
Plebani M, Carraro P. Mistakes in a stat laboratory:
types and frequency. Clin Chem 1997;43:1348-51.
The distribution of mistakes was:
-pre-analytical 68.2%,
-analytical 13.3%, and
-post-analytical 18.5%.
>Focus on pre- and post-analytics
Critique
Stöckl D. Modern quality management
misunderstood? Clin Chem 1998;44:1066-7.
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Background
“Analytical errors are no longer the main factor
influencing the reliability and clinical utilization of
laboratory diagnostics.”
Lippi G, Guidi GC, Mattiuzzi C, Plebani M. Preanalytical variability: the
dark side of the moon in laboratory testing. Clin Chem Lab Med
2006;44:358-65.
Is that so?
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Analytical quality
Kidney disease
Calcium
Vitamin D
Parathyroid hormone
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Analytical quality – Calcium
“Based on analysis of over 89,000 patients
receiving serum calcium tests at the Mayo Clinic in
1998–1999, we find that the number of follow-up
procedures, and hence health care costs, is directly
related to initial calcium test values. With
approximately 3.55 million patients per year
receiving screening serum calcium tests being
affected by bias, the potential economic impacts
range from $60 million to $199 million per year for
analytic biases of 0.1 and 0.5 mg/dL, respectively”.
Gallagher MP, Mobley LR, Klee GG, Schryver P. RTI Planning Report 04-1,
The impact of calibration error in medical decision making. April 2004.
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Analytical quality – Vitamin D
“Vitamin D assays yield markedly differing results;
whether an individual is found to have low or
normal vitamin D status is a function of the
laboratory used. If the medical community is to
make progress in correcting widespread
hypovitaminosis D, vitamin D measurement must be
standardized”
Binkley N et al. Assay variation confounds the diagnosis of
hypovitaminosis D: A call for standardization. J Clin Endocrinol Metab
2004;89:3152–7.
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Analytical quality – PTH
“It appears unethical that all the companies making
different PTH assays could not meet and decide
how to standardize and calibrate a consistent
circulating PTH measurement. Many physicians are
making huge efforts to keep their patients within the
target values recommended by the National Kidney
Foundation/Kidney Disease Outcomes Quality
Initiative (NKF/K-DOQI); however, most of them are
misinformed by their PTH measurement”.
Torres PU. The need for reliable serum parathyroid hormone
measurements Kidney Int 2006;70:240-3.
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Analytical quality
“Analytical quality: still a major issue”
“The emphasis on improved quality assessment for
pre- and post-analytical processes is not without
negative effects.”
“In my view, the only solution to this is to use more
stringent metrics to define analytical tolerance
limits on the one hand, and on the other to meet the
need for more effective communication of
laboratory results to clinicians.”
Plebani M. Errors in laboratory medicine and patient safety: the road
Ahead. Clin Chem Lab Med 2007;45:700–7.
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Outcome-related test quality
TSH
Subclinical hypothyroidism
“Define analytical tolerance limits”
 interrelated
“Need for more effective communication of results
to clinicians”
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TSH – Subclinical hypothyroidism
Information to establish outcome-related test quality
• Clinical definition
• [Medical] actions
• TSH-distribution in the laboratory
Methods to derive "analytical tolerance limits"
At different cut-off values
• Modulation of the distribution
– Bias
– Interferences
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TSH – Subclinical hypothyroidism
Clinical definition
TSH >5 mIU/L
Belgian situation?
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TSH – Subclinical hypothyroidism
[Medical] actions based on values >5 mIU/L
Laboratory tests
• Free T4
• Thyroid antibodies
• Ultrasonography
Medical actions
• Thyroxine supplementation#
#39% of the patients
Fatourechi V, et al. Factors influencing clinical decisions to initiate thyroxine
therapy for patients with mildly increased serum thyrotropin (5.1-10.0 mIU/L).
Mayo Clin Proc 2003;78:554-60.
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TSH – Subclinical hypothyroidism
TSH-distribution in the laboratory (n = 1000)
Modelled according to NHANES III-data (Surks MI, Goswami G, Daniels GH.
The thyrotropin reference range should remain unchanged. J Clin Endocrinol
Metab 2005;90:5489-96).
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TSH – Subclinical hypothyroidism
TSH >5 mIU/L
• n = 27 (per 1000)
• 2.7 %
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TSH – Subclinical hypothyroidism
Methods to derive "analytical tolerance limits"
• Modulation of the distribution
– Bias
– Interferences
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Modulation of the distribution
Bias (at cut-off 5 mIU/L)
%-Bias
0
#-above 5
27
5
10
15
31
36
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A bias of 10% increases the patients to be followedup by 33% (9 more per 1000 tests).
>Generally considered too much!
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Modulation of the distribution
Interferences
The prevalence of heterophilic antibody interference was
determined using thyrotropin as an illustrative example.
Serum samples were obtained from 295 patients. Protocol
A (zero blocker), protocol B (routine blocker
concentration). Ten patients (prevalence 3.4%) had
significant levels of heterophilic antibodies (protocol A
value greater than 9 SD from the protocol B value).#
#Ward G, McKinnon L, Badrick T, Hickman PE. Heterophilic antibodies remain
a problem for the immunoassay laboratory. Am J Clin Pathol 1997;108:417-21.
Després N, Grant AM. Antibody interference in thyroid assays: a potential for
clinical misinformation. Clin Chem 1998;44:440–54.
Ismail AAA et al. Wrong Biochemistry Results: Two Case Reports and
Observational Study in 5310 Patients on Potentially Misleading Thyroidstimulating Hormone and Gonadotropin Immunoassay Results. Clin Chem
2002;48:2023–29.
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Modulation of the distribution
Interferences (at cut-off 5 mIU/L)
Difficult to translate in real practice.
Assume
0.1%, 0.5%, 1% of the samples have interferences that
cause TSH values to be falsely elevated >5 mIU/L.
% with interferences
0
#-above 5
27
0.1
0.5
1
28
32
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0.5% of samples with interferences increase the
patients to be followed-up by 19% (5 more/1000 tests).
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Change of cut-off
Cut-off at 3 mIU/L
5.4 times more patients to be followed-up (145 instead
of 27 per 1000 tests).
 Major impact
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Modulation of the distribution
Bias (at cut-off 3 mIU/L)
%-Bias
0
#-above 3
145
5
10
15
167
195
230
A bias of 10% increases the patients to be followedup by 34% (50 more per 1000 tests).
The %-increase is similar to the 5 mIU/L cut-off, but
the absolute numbers are much higher.
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Modulation of the distribution
Interferences (at cut-off 3 mIU/L)
% with interferences
0
#-above 3
145
0.1
0.5
1
146
150
155
0.5% of samples with interferences increase the
patients to be followed-up by 3.4% (5 more per 1000
tests). Note: may be underestimated because the magnitude of
interference needed is smaller.
 In a “high prevalence” situation (many values > cut-off),
interferences may be less a problem.
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Actual bias data from IQC
Target: 7.6 mIU/L
Shift over 2 months
7.6 > 8.3 = 9.2% ~10%
8.8
TSH (µU/mL) ...
8.6
8.4
8.3
8.2
8
7.8
7.6
7.6
7.4
7.2
0
100
200
300
400
500
600
700
800
IQC #
A bias of +10% increases the patients to be
followed-up (FP) by 33%. Acceptable?
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Actual bias data from IQC
Assume 8.3 mIU/L was the target
Shift over 2 months
8.3 > 7.6 = 8.4%
8.8
TSH (µU/mL) ...
8.6
8.4
8.3
8.2
8
7.8
7.6
7.6
7.4
7.2
0
100
200
300
400
500
600
700
800
IQC #
A bias of -8.4% reduces the patients to be followedup (FN) by 26%.
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Outcome-related test quality
Observations
• Bias and interferences may produce false
positives/negatives
How much does a laboratory want to accept?
• Follow recommendations in literature
A bias of 10% increases the patients to be followedup by 33% (9 more per 1000 tests).
Considered too much by Klee GG (Mayo Clinics
perform >100 000 TSH measurements per year).
>Risk assessment
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Risk assessment
Risk
= severity times probability (likelihood)
Risk assessment matrix
Probability (Likelihood)
Frequent
Catastrophic
Severity
Critical
Moderate
Negligible
Likely
Occasional
Seldom
Unlikely
Extremely
high
High
Medium
Low
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Risk assessment
What is the consequence of a false positive?
• Additional laboratory testing
• Thyroxine supplementation
Are the consequences of a false positive at high,
medium, or low risk?
• Very difficult to answer
• Few models available
>Laboratory may develop basic risk assessment
strategies
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Outcome-related test quality
Areas that may be affected
• Purchase of equipment
• Batch acceptance
• IQC
•…
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Outcome-related test quality
Possible actions when risk is identified
Intensify communication “Analytics/Clinic”
Purchase a better system
Modify standard practices (examples)
– Test batches before use: refuse if possible
– Work with IQC rules with increased probability
of false positives
Standard practices are understood as:
Practices that are based on the statistics of the
stable process and using decisions at the 95% or
99% probability-level (Null-hypothesis) or 90%
probability-level (Power calculations).
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TSH – outcome-related test quality
Other references
Klee GG. Clinical interpretation of reference intervals and reference
limits. A plea for assay harmonization. Clin Chem Lab Med
2004;42:752-7.
Fatourechi V, Klee GG, Grebe SK, Bahn RS, Brennan MD, Hay ID,
McIver B, Morris JC 3rd. Effects of reducing the upper limit of normal
TSH values. JAMA 2003;290:3195-6.
Klee GG, Schryver PG, Kisabeth RM. Analytic bias specifications
based on the analysis of effects on performance of medical
guidelines. Scand J Clin Lab Invest 1999;59:509-12.
Hay ID, Klee GG. Linking medical needs and performance goals:
clinical and laboratory perspectives on thyroid disease. Clin Chem
1993;39:1519-24.
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Outcome-related test quality
Important only for TSH and similar?
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Outcome-related test quality
Serum sodium
Action limits?
Mild hyponatraemia: <135 - 125 mmol/L
Moderate hyponatraemia: <125 - 115 mmol/L
Severe hyponatraemia: <115 mmol/L
(Smellie WSA, Heald A. Hyponatraemia and hypernatraemia:
pitfalls in testing. BMJ 2007;334:473-476)
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Outcome-related test quality
Serum sodium
Reference population
>would tolerate quite high values for bias
800
700
600
500
400
300
Moderate
hypo
200
100
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Outcome-related test quality
Serum sodium
Distribution of admission serum sodium in patients
hospitalized with a primary discharge diagnosis of heart
failure. Gheorghiade, M. et al. Eur Heart J 2007;28:980-8.
600
500
400
300
200
Moderate
hypo
100
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Outcome-related test quality
Serum sodium
Reference population (blue)
>Importance of the real distribution
800
700
600
500
400
300
Moderate
hypo
200
100
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Outcome-related test quality
Summary
• Concept becomes increasingly important (own
opinion) (alternative or complementary to other
concepts, e.g. the biological –)
• Engage in the topic
– Inform yourself about test quality (ongoing)
– Communicate with clinicians
– Use data from LIS; do modulations on the basis
of bias/interferences, imprecision; investigate
[clinical] consequences
• Think about risk assessment
• Act on “risk analytes”
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