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

 

 

 

1

 

2

May

 

 

 

 

1

1

2

Jun

 

 

8

 

 

 

2

Jul

 

 

 

 

1

1

Aug

 1

 

       4

 

 

3

5

Sep

 1

 

       4

 

1

 

1

Oct

 

 

 

 

 

2

7

Nov

 

 

      

 

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