UK
NEQAS FOR ANTIBIOTIC ASSAYS
THE
ANNUAL REPORT 2008-2009
Department
of Medical Microbiology
Southmead
Hospital
Westbury-on-Trym
Bristol
BS10 5NB
Scheme
Staff
The
staff responsible for ensuring the running of the scheme for the distribution
year 2008-09 were:
Scheme
Organiser Professor Alasdair
MacGowan
Scheme
Manager Mrs Rhiannon John /
Mr Alan Noel
Distribution
Manager Mr Alan Noel / Dr Mervyn
Darville
Scheme Packers Mrs
Hazel Bennett / Mr Terry Fernandes / Dr Mervyn Darville
Mrs
Rhiannon John commenced her maternity leave in Novemver 2008 and so Mr Alan
Noel succeeded her as Scheme Manager with Dr Mervyn Darville performing some of
the duties as acting Distribution Manager.
Mr Terry Fernandez retired in January 2009. We thank him for all his efforts and wish him well in his
retirement.
Scheme
Contact Details
You can
get in touch with the scheme by post, email and telephone:
UK NEQAS
for Antibiotic Assays
Department
of Medical Microbiology
Southmead
Hospital
Westbury-on-Trym
Bristol,
BS1 5NB
Tel:
0117 9596214 (answer phone service)
Fax:
0117 9593217
Email: ukneqas.antibiotics@nbt.nhs.uk
Scheme
Introduction
This
scheme provides a quality assessment service in antibiotic therapeutic drug
monitoring to allow laboratories to monitor their performance, from drug assay
through to submission of results.
Twelve distributions are circulated annually. All participants can take any combination of seven antibiotics in
~900ul serum:
Amikacin,
Gentamicin*, Flucytosine, Netilmicin, Teicoplanin, Tobramycin and Vancomycin*
*Gentamicin/Vancomycin
are distributed as a combined sample.
There
was no change in the antibiotics offered this year, and the number of participants
taking netilmicin and flucytosine remained the same. As in previous years flucytosine and netilmicin were not scored
due to the low number of participants.
Registered
Participants
This
year our scheme continued to experience some loss of participants, mostly down
to the merger of pathology laboratories and the loss of antibiotic assay
testing in many microbiology laboratories within the UK.
|
Analyte |
No. of Participating Laboratories |
|
Amikacin |
81 |
|
Flucytosine |
5 |
|
Gentamicin |
208 |
|
Netilmicin |
3 |
|
Teicoplanin |
25 |
|
Tobramycin |
104 |
|
Vancomycin |
205 |
CPA
Accreditation
The
scheme was inspected January 2008, and retained accreditation until January
2010.
Scheme
Developments
We are
committed within the Antibiotic Assay scheme to develop and implement new,
more-up-to-date software and IT in order to streamline the distribution
process, both for staff and participants. The first stage of IT development
took place in 2007 with the introduction of the new web-based Wolfson software
in April 2007. The new look participant reports met with approval, and all of
you seemed to agree that they were much easier to read and interpret than the
old style of form.
IT
development continued during this distribution year with the implementation of
online results entry and online report download. Currently around 33% of laboratories returned results online.
The
educational reporting scheme that would run alongside the main antibiotic assay
scheme is still currently under review. This educational resource is becoming
more widely available and it is important that the scheme remains current in
the ideas surrounding other EQA schemes. Almost all participants who replied to
our questionnaire were very interested in the pilot scheme.
Scheme
Audits and Performance Targets
Table 1: Communication audit for the
distribution year
|
Communication Type |
Number (Percentage) |
|
Routine queries |
127 (56.6%) |
|
Enrolment queries |
25 (11.2%) |
|
Repeat samples |
23 (10.3%) |
|
Scoring queries |
22 (9.8%) |
|
Complaints |
14 (6.3%) |
|
Invoice queries |
13 (5.8%) |
|
Total |
224 |
Complaints
There
were 14 complaints in total. 5 were samples lost in transit. 4 were samples sent to incorrect
laboratories. 2 were regarding the
quality of the samples (serum issues).
Fax
problems
If
possible, please remember that in the few working days prior to the
distribution closing date the fax machine is extremely busy and it may take several
minutes for your fax to go through correctly.
If you
have problems with faxing then alternatively, email your results with “Results
return–and the distribution number” in the email header. We advise all laboratories to use the
web-reporting of results. The return of
results by fax or email can be easily audited, and will avoid loss of returns
in the postal system.
Packaging
errors
We had 4
packaging errors during the distribution year – one incorrect sample was sent
to a laboratory and one laboratory received the wrong paperwork.
Specimen
quality
Issues
with serum quality has meant that our scheme has begun trying to source
alternative supplies of serum. We now
purchase our serum from the same source as the HEATH Control EQA Scheme. This commenced from September 2008 and we
have subsequently had no issues arising from the quality of the specimens.
Distribution
Year Statistics
In order
to understand the statistics provided with this report it may be helpful to
read the following information first. A
lengthier version of the scoring system is available online in the Participants
Manual (www.ukneqasaa.win-uk.net)
How
the Scheme is Scored
Method and sub-method performance
The performance of each method is summarised. Performance can be assessed by looking
at the ALTM’s - All Laboratory Trimmed Mean and
the percentage coefficients of variation (CV%’s), which are
calculated in the following way
Coefficient of
variation = standard deviation / mean x 100
Statistical trimming results in the removal of mistakes
and inaccurate results from the calculations. The presented data allows
laboratories to compare the reproducibility of different methods and of
sub-methods. However, do be cautious when comparing results from a method
with a large number of participants to one with only few.
Laboratory methodology
performance
Each month a laboratory measures the
concentration of the quality control sample.
A % bias calculation is performed in order to assess the extent
of the error it has made shown as the %error.
% Bias = (laboratory result – target concentration)/ target result x
100
Bias can be positive (consistently above
the target value), negative (consistently below the target value), fixed
(always x mg L-1), proportional (always x%) or variable.
This result is added to the previous
five results and the modulus mean % error + 2.S.D. (MEAN+2SD) is calculated. This value is related directly to the
score and to the grouping and thus the laboratory’s performance rating.
Please refer to The Participant’s
Manual (available
on-line, through our web-site www.ukneqasaa.win-uk.net) to see how the groups and
scoring scheme are linked. In summary:
A score of 2 indicates an excellent performance
A score of 1 indicates a borderline performance or may be indicative
of a future problem
A score of 0 to -1 indicates a poor performance.
Please note that blunders (mistakes such as
transcription errors or the mixing up of results) are not excluded when determining laboratory performance. These are the
commonest errors and are made every month. Even including blunders, the
proportion of poor performers is small and true persistent poor performance is
rare.
Causes of poor performance and the potential clinical
implications
For virtually all laboratories, assay performance is
always very good. The number of poor
performers remains small. Blunders are common but are not repeated every month
by a single laboratory. One main cause of poor performance is made by
submitting a
single transcription error. A few mistakes are also made by the transposition
of two antibiotic assay results which will then result in a poor score for two antibiotics for a
number of months. Whilst noting that such transcription/transposition errors
will not have any adverse clinical impact, they are not mistakes that can be
ignored.
Recently we have had received some poor quality
faxed returns – numbers written too faintly or with lines obscuring the
results. This has meant
that incorrect results were entered that then resulted in a poor score. We
do not know what proportion of our members fax their clinical results but
clearly there is a potential cause of serious error if a fax is not
clear. Since the commencement of the
web-reporting option for result return, the number of faxes received and
therefore the number of poor quality faxed returns received is decreasing.
Another
commonly made error is the failure to multiply-up results when samples have
required dilution to bring them within assay range. Clearly, the failure to
multiply-up the results for clinical samples would be a serious error.
Very occasionally a laboratory may assay the wrong samples. These may be a
previous month’s circulation, internal quality samples or actual patient
samples. All of these types of mistakes are potentially serious and such
laboratories should scrutinise and tighten their procedures to ensure this
cannot happen with clinical samples.
Once
again, it must be remembered that where the numbers of participants are
low, comparisons should be made with caution. This is even more important when comparing mean scores
than it is to method CV%s. One poor
performer in a small group will have considerably more impact on the mean score
than it will in a large group.
Method
Codes
This
year has seen a considerable increase in the number of methods being used by
participants. The current list of
method and sub-method codes is shown in the tables below with the number of
participants. Only methods with more
than 13 participants are scored as a peer group. In a change to our report
forms participants can only see methods with more than 13 participants (unless
your lab happens to use a small method in which case the method results will
appear).
Table
2: Method and Sub-method Codes
|
Manufacturer |
Method |
Method code |
Sub-method |
Sub-method code |
|
Abbott |
TDx / FLx |
TDX |
Biostat PFIA |
BIO PFIA |
|
Abbott |
Abbott |
ABBOTT |
Architect |
ARCH |
|
Abbott |
Abbott |
ABBOTT |
Axsym |
AXM |
|
Beckman |
Beckman |
BECKMAN |
|
DXC |
|
Behring |
Emit |
EMIT |
Wet manual Auto analyser |
WM AA |
|
Behring |
Petina |
PETINA |
|
|
|
Bioassay |
Gram negative |
GMNEG |
|
|
|
Bioassay |
Gram positive |
GMPOS |
|
|
|
Bioassay |
Yeast |
YEAST |
|
|
|
Biostat |
Biostat |
BIOSTAT |
Biostat PFIA Seradyn |
BIO PFIA SER |
|
Boehringer Mannheim |
Cedia |
CEDIA |
|
|
|
Dade |
Dade |
DADE |
|
|
|
Launch |
Biokit |
BKT |
|
|
|
Olympus |
AU400/600/640 2700/5400 |
OLYMPUS |
|
|
|
Plate assay |
Plate assay |
PLATE |
|
|
|
Roche |
Roche |
ROCHE |
PFIA |
PFIA |
|
Roche |
Modular |
ROCHEMP |
|
|
|
Siemens |
Siemens |
SIEMENS |
Centaur |
CENT |
|
Siemens |
Siemens |
SIEMENS |
Advia |
ADVIA |
|
Siemens |
Siemens |
SIEMENS |
Technicon |
TECH |
|
Various |
HPLC |
|
|
|
|
Unknown |
No method |
|
|
|
The
graphs below show the breakdown of all methods used by our participants by
antibiotic. The majority of participants still use the TDx or FLx for amikacin,
gentamicin, tobramycin and vancomycin. However, there has been a steady change
in methodology away from the TDx, particularly for vancomycin where the Abbott
Architect is now nearly as big a method group.
Antibiotics
and Methods for Distribution Year 2008 - 2009





Distribution
Results
2 analytes
were not scored over the distribution year, an amikacin and a gentamicin. The
target value will not appear on your written report if the analyte has not been
scored.
Table
3 Participant Returns Per Distribution
|
DIST |
ANAL |
Parts |
No. |
Non-Rets |
W.I. |
ALTM |
SD |
CV |
|
2300 |
AMIK |
111 |
95 |
12 |
56 |
53.9 |
4.73 |
8.76 |
|
2299 |
AMIK |
111 |
100 |
10 |
18 |
17.7 |
1.04 |
5.87 |
|
2298 |
AMIK |
113 |
98 |
12 |
22 |
19.9 |
1.18 |
5.92 |
|
2297 |
AMIK |
114 |
94 |
19 |
4.8 |
4.4 |
0.35 |
7.98 |
|
2296 |
AMIK |
115 |
101 |
12 |
20.5 |
18.4 |
0.99 |
5.39 |
|
2295 |
AMIK |
115 |
92 |
21 |
30 |
26.3 |
1.63 |
6.19 |
|
2294 |
AMIK |
115 |
96 |
16 |
13.8 |
12.7 |
0.77 |
6.09 |
|
2293 |
AMIK |
114 |
96 |
12 |
57 |
50.7 |
4.13 |
8.15 |
|
2292 |
AMIK |
114 |
97 |
15 |
15.6 |
14.4 |
0.95 |
6.56 |
|
2291 |
AMIK |
115 |
98 |
16 |
25 |
22.2 |
1.2 |
5.39 |
|
2290 |
AMIK |
115 |
97 |
13 |
2.5 |
2.7 |
0.38 |
14.2 |
|
2289 |
AMIK |
115 |
100 |
13 |
20 |
20.1 |
1.01 |
5.03 |
|
2300 |
FLU |
10 |
8 |
1 |
48 |
47.4 |
3.57 |
7.52 |
|
2299 |
FLU |
10 |
8 |
1 |
132 |
121.7 |
18.91 |
15.55 |
|
2298 |
FLU |
10 |
7 |
2 |
62 |
62.8 |
7.74 |
12.32 |
|
2297 |
FLU |
10 |
9 |
1 |
77 |
65.7 |
9.7 |
14.76 |
|
2296 |
FLU |
10 |
7 |
2 |
36 |
25.4 |
11.5 |
45.28 |
|
2295 |
FLU |
10 |
8 |
2 |
63.5 |
61.8 |
4.36 |
7.06 |
|
2294 |
FLU |
10 |
8 |
2 |
92 |
72 |
21.13 |
29.33 |
|
2293 |
FLU |
10 |
9 |
1 |
51 |
48.6 |
6.68 |
13.76 |
|
2292 |
FLU |
10 |
8 |
2 |
118 |
109.4 |
17.14 |
15.67 |
|
2291 |
FLU |
10 |
7 |
3 |
71 |
67.6 |
7.58 |
11.22 |
|
2290 |
FLU |
10 |
8 |
2 |
80 |
78 |
7.57 |
9.71 |
|
2289 |
FLU |
10 |
9 |
1 |
33 |
30.3 |
3.53 |
11.66 |
|
2300 |
GENT |
275 |
246 |
23 |
5 |
4.6 |
0.3 |
6.4 |
|
2299 |
GENT |
276 |
246 |
20 |
10.3 |
9.4 |
0.69 |
7.31 |
|
2298 |
GENT |
291 |
197 |
36 |
0.3 |
0.4 |
0.12 |
28.21 |
|
2297 |
GENT |
289 |
243 |
39 |
9.2 |
8.5 |
0.58 |
6.76 |
|
2296 |
GENT |
290 |
250 |
26 |
12.1 |
11 |
1.14 |
10.41 |
|
2295 |
GENT |
290 |
248 |
36 |
3.1 |
2.9 |
0.18 |
6.07 |
|
2294 |
GENT |
290 |
238 |
30 |
15.4 |
14.3 |
1.16 |
8.15 |
|
2293 |
GENT |
291 |
261 |
25 |
6.7 |
6.2 |
0.6 |
9.74 |
|
2292 |
GENT |
292 |
249 |
34 |
10.5 |
9.4 |
0.76 |
8.17 |
|
2291 |
GENT |
292 |
255 |
31 |
1.4 |
1.3 |
0.17 |
13.16 |
|
2290 |
GENT |
292 |
253 |
30 |
7.9 |
7.2 |
0.48 |
6.65 |
|
2289 |
GENT |
292 |
252 |
27 |
12.3 |
11 |
1.17 |
10.59 |
|
2300 |
NET |
13 |
5 |
4 |
2.1 |
2.3 |
0.15 |
6.71 |
|
2299 |
NET |
13 |
4 |
4 |
9.2 |
7.9 |
0.93 |
11.74 |
|
2298 |
NET |
15 |
5 |
5 |
12.5 |
14.6 |
7.33 |
50.23 |
|
2297 |
NET |
15 |
4 |
6 |
3.1 |
2.5 |
0.51 |
19.87 |
|
2296 |
NET |
15 |
5 |
4 |
15.8 |
12.7 |
4.14 |
32.67 |
|
2295 |
NET |
13 |
4 |
3 |
7.2 |
6.9 |
0.74 |
10.72 |
|
2294 |
NET |
14 |
5 |
3 |
11.3 |
10.2 |
0.97 |
9.5 |
|
2293 |
NET |
14 |
4 |
5 |
2.4 |
2.6 |
0.41 |
15.97 |
|
2292 |
NET |
14 |
6 |
3 |
7.5 |
7.8 |
1.7 |
21.88 |
|
2291 |
NET |
14 |
6 |
3 |
13.7 |
12.6 |
4.58 |
36.45 |
|
2290 |
NET |
14 |
6 |
4 |
4 |
4 |
0.81 |
20.06 |
|
2289 |
NET |
14 |
8 |
4 |
16.1 |
15.1 |
1.43 |
9.47 |
|
2300 |
TEIC |
30 |
27 |
3 |
21.2 |
17.8 |
1.58 |
8.87 |
|
2299 |
TEIC |
29 |
26 |
3 |
8.4 |
8.7 |
1.03 |
11.77 |
|
2298 |
TEIC |
29 |
25 |
4 |
30.1 |
29.2 |
1.77 |
6.07 |
|
2297 |
TEIC |
27 |
25 |
2 |
58.4 |
55.8 |
4.94 |
8.85 |
|
2296 |
TEIC |
27 |
24 |
3 |
18.4 |
18.3 |
1.48 |
8.08 |
|
2295 |
TEIC |
27 |
23 |
4 |
8.9 |
9.3 |
0.94 |
10.21 |
|
2294 |
TEIC |
27 |
24 |
2 |
45.6 |
45.5 |
3.55 |
7.8 |
|
2293 |
TEIC |
27 |
22 |
3 |
3 |
2.9 |
0.73 |
25.54 |
|
2292 |
TEIC |
27 |
25 |
2 |
18.9 |
19.2 |
1.46 |
7.61 |
|
2291 |
TEIC |
27 |
23 |
3 |
61.2 |
59.7 |
3.94 |
6.6 |
|
2290 |
TEIC |
27 |
25 |
2 |
13.6 |
14.3 |
1.03 |
7.23 |
|
2289 |
TEIC |
28 |
25 |
2 |
41.2 |
43 |
4.16 |
9.68 |
|
2300 |
TOB |
141 |
121 |
13 |
11.2 |
10.6 |
0.99 |
9.38 |
|
2299 |
TOB |
141 |
125 |
12 |
1.2 |
1.2 |
0.19 |
15.36 |
|
2298 |
TOB |
143 |
122 |
16 |
7.6 |
7.7 |
0.66 |
8.6 |
|
2297 |
TOB |
141 |
114 |
16 |
12.4 |
12.4 |
1.2 |
9.71 |
|
2296 |
TOB |
141 |
121 |
13 |
4.4 |
4.4 |
0.45 |
10.16 |
|
2295 |
TOB |
139 |
114 |
17 |
14.9 |
16.5 |
1.54 |
9.34 |
|
2294 |
TOB |
138 |
116 |
16 |
6.4 |
6.5 |
0.53 |
8.07 |
|
2293 |
TOB |
137 |
116 |
14 |
10.1 |
10.5 |
1.04 |
9.93 |
|
2292 |
TOB |
136 |
116 |
14 |
1.8 |
1.9 |
0.18 |
9.33 |
|
2291 |
TOB |
138 |
118 |
14 |
9 |
9.4 |
0.87 |
9.3 |
|
2290 |
TOB |
138 |
117 |
14 |
12.2 |
12.4 |
1.4 |
11.3 |
|
2289 |
TOB |
138 |
122 |
10 |
3.5 |
3.5 |
0.29 |
8.37 |
|
2300 |
VANC |
276 |
243 |
24 |
50 |
49.4 |
4.5 |
9.11 |
|
2299 |
VANC |
276 |
250 |
18 |
13.5 |
14 |
1.02 |
7.3 |
|
2298 |
VANC |
304 |
246 |
46 |
67 |
66.5 |
5.94 |
8.92 |
|
2297 |
VANC |
303 |
247 |
50 |
21.3 |
22.3 |
1.76 |
7.9 |
|
2296 |
VANC |
303 |
255 |
39 |
40 |
40.2 |
3.75 |
9.34 |
|
2295 |
VANC |
302 |
248 |
49 |
6.6 |
6.7 |
0.75 |
11.29 |
|
2294 |
VANC |
300 |
250 |
44 |
28.6 |
28.8 |
2.31 |
8.01 |
|
2293 |
VANC |
301 |
257 |
39 |
44 |
43.6 |
3.49 |
7.99 |
|
2292 |
VANC |
302 |
253 |
43 |
15.1 |
15.4 |
1.16 |
7.53 |
|
2291 |
VANC |
302 |
254 |
41 |
60 |
59.4 |
5.77 |
9.72 |
|
2290 |
VANC |
302 |
253 |
42 |
23.5 |
22.8 |
1.88 |
8.25 |
|
2289 |
VANC |
302 |
255 |
38 |
38.9 |
24.7 |
2.02 |
8.18 |
Repeat
Samples
The
table below shows the number of repeat samples sent to participants with an
error of more than 30% over the distribution year.
|
|
AMIK |
FLUC |
GENT |
NETIL |
TEICO |
TOBRA |
VANC |
|
Apr |
|
|
2 |
|
1 |
|
2 |
|
May |
|
|
|
|
1 |
1 |
2 |
|
Jun |
|
|
8 |
|
|
|
2 |
|
Jul |
|
|
3 |
|
|
1 |
1 |
|
Aug |
1 |
|
4 |
|
|
3 |
5 |
|
Sep |
1 |
|
4 |
|
1 |
|
1 |
|
Oct |
|
|
|
|
|
2 |
7 |
|
Nov |
|
|
3 |
|
1 |
1 |
2 |
|
Dec |
|
|
1 |
|
|
2 |
2 |
|
Jan |
|
|
|
|
|
1 |
1 |
|
Feb |
1 |
|
1 |
|
|
3 |
1 |
|
Mar |
1 |
|
1 |
|
1 |
1 |
1 |
|
TOTAL |
4 |
0 |
27 |
0 |
5 |
15 |
27 |
Poor
Performing Laboratories
Biannually,
the poorly performing laboratories are analysed (in March and September). Laboratory
numbers have been removed and replaced with letters. The same coding system is
used for both months, but each summary contains the results for different
laboratories. Only laboratories in the
United Kingdom AND Northern Ireland are highlighted as poor performers.
|
LID |
ANAL |
METHOD |
SMETHOD |
COUNTRY |
LAB_TYPE |
Mean+2SD |
Score |
|
A |
AMIK |
TDX |
PFIA |
UK |
NHS |
53.9 |
0 |
|
B |
GENT |
ABBOTT. |
ARCH |
UK |
NHS |
55.9 |
0 |
|
C |
AMIK |
DADE |
|
UK |
NHS |
97.3 |
0 |
|
D |
GENT |
BIOSTAT |
SER |
UK |
NHS |
81.9 |
0 |
|
E |
VANC |
ABBOTT. |
ARCH |
UK |
NHS |
70.7 |
0 |
|
F |
GENT |
SIEMENS |
DIMENSION |
UK |
NHS |
540.9 |
-1 |
|
F |
VANC |
SIEMENS |
DIMENSION |
UK |
NHS |
84.1 |
0 |
|
G |
GENT |
BIOSTAT |
SER |
UK |
NHS |
125.3 |
-1 |
|
H |
VANC |
TDX |
PFIA |
NI |
NHS |
57.8 |
0 |
|
I |
TOB |
BIOSTAT |
SER |
UK |
NHS |
50.6 |
0 |
|
J |
GENT |
ABBOTT. |
ARCH |
NI |
|
153.4 |
-1 |
September
2008
|
LID |
ANAL |
METHOD |
SMETHOD |
COUNTRY |
LAB_TYPE |
Mean+2SD |
Score |
|
A |
TOB |
ABBOTT. |
ARCH |
UK |
PHL |
70.2 |
0 |
|
B |
AMIK |
TDX |
PFIA |
UK |
PHL |
64.8 |
0 |
|
C |
VANC |
TDX |
PFIA |
UK |
NHS |
52.4 |
0 |
|
D |
VANC |
TDX |
PFIA |
UK |
NHS |
52 |
0 |
|
E |
TOB |
BECKMAN |
DXC |
UK |
NHS |
120.2 |
-1 |
|
F |
GENT |
ROCHE |
PFIA |
UK |
NHS |
76.7 |
0 |
|
F |
VANC |
ROCHE |
PFIA |
UK |
NHS |
101.6 |
-1 |
|
G |
GENT |
ROCHEMP |
|
UK |
NHS |
113.2 |
-1 |
|
G |
TOB |
ROCHEMP |
|
UK |
NHS |
66.7 |
0 |
March
2009
End
of Annual Report 2008 -2009