Presentation

Implementing Vitek MS:
The St James’s Hospital
Experience
Lisa Rose
Senior Medical Scientist
Microbiology Dept.
St James’s Hospital, Dublin, Ireland
[email protected]
Outline
Vitek MS & Myla Validation
Vitek-MS Workflow
Advantages & Challenges
St James’s Hospital, Dublin
1000 bed tertiary care hospital
Largest laboratory in Rep of Ireland
Microbiology lab: >300,000 specimens/yr
MALDI: What did we want & Why?
Current issues:
– Improved patient care: antibiotic therapy & MDRO & management of sepsis
– Staffing restrictions
– Stringent budget control
Faster ID
Cheaper
Better
Consistent results: all staff & all shifts
Automated: future-proof - full lab automation
Easy to use: training
Reduce TATs
Reallocate staff to added value tasks
Improve patient management & antimicrobial therapy
How did we Implement Vitek-MS?
Selection: performance, existing
instrumentation, middleware
ISO15189:2012 standard
Installation qualification (IQ)
– Installation engineer
–
–
–
–
Delivery
Unpacking
Vitek MS – PC check
Prepare slide, fine tuning
Installation
Operational Qualification (OQ)
– Medical scientist & application specialist
–
–
–
Creation of user accounts
Barcode validation
Send analysis request ID & AST from LIS
Workflow
Vitek MS
Performance Qualification (PQ)
– equipment consistently performs as intended
Training
Validation
OQ: Interface
Local LIS support essential from start of project
Prepare detailed LIMS validation protocol
All permutations
– Investigation types
– MRN/hospital source
– ID, ID/AST
Dedicate resources at time of switch over: staff, time, space
Myla uses stem organisms: Multiple codes for different organisms
Never switch over on a Friday!
Vitek MS PQ
Accuracy of ID:
– 40 ATCC bacterial, 2 ATCC fungal strains
– Tested in duplicate
Repeatability of ID:
– ATCC stains tested, 2 operators, on 3 different occasions
Reproducibility/precision of ID:
– ID 15 ATCC isolates, in triplicate, 2 operators, same slide
Results: 100% accuracy, repeatability, reproducibility
Bacteroides fragilis
ATCC 25285
Haemophilus influenzae ATCC
49766
Neiserria meningitidis
ATCC 13090
Staphylococcus aureus
BAA1026
Campylobacter jejuni
ATCC 33291
Haemophilus influenzae NCTC
8468
Pseudomonas aeruginosa,
ATCC 27853
Staph. epidermidis ATCC
12228
Candida albicans
ATCC 10231
Klebsiella pneumoniae BAA
1705
Proteus mirabilis ATCC
12453
Staph. saprophyticus
ATCC 15303
Candida parapsilosis
ATCC 2019
Klebsiella pneumoniae BAA
1706
Salmonella typhimurium
ATCC 14028
Streptococcus agalactiae
12386
Clostridia perfringens
ATCC 13124
Klebsiella pneumoniae BAA
2146
Serratia marcescens
ATCC 8100
Strep. pyogenes, ATCC
19615
Escherichia coli
ATCC 25922
Klebsiella oxytoca ATCC
700324
Staphylococcus aureus,
ATCC 25923
Strep. pneumoniae
ATCC 49619
Escherichia coli
ATCC 35218
Klebsiella pneumoniae ATCC
700603
Staphylococcus aureus
ATCC 29213
Streptococcus
equisimilis43079
Enterococcus faecalis
ATCC 51299
Legionella pneumophila ATCC
33152
MRSA, ATCC 43300
Stenotrophomonas
ATCC 13637
Enterococcus faecalis
ATCC 29212
Moraxella catarrhalis, WILD
Staphylococcus aureus
BAA 976
V. parahaemolyticus
ATCC 17802
Haemophilus
influenzae ATCC
49247
Neiserria gonorrhoeae. ATCC
49226
Staphylococcus aureus
BAA 977
Y. enterocolitica ATCC
27729
PQ: Prospective Clinical Study
Isolates
No.
ID method
Correlate
Staph sp.
52
tube coagulase
Pastorex Staph plus latex
agglutination kit
100%
GNBs: E.coli, P.aer,
51
Vitek GN, API 20NE, ChromID
CPS
100%
H.influ, S.pn, Str
sp, Moraxella
21
X&V, optochin, API rapid NH,
Tazo sugars
100%
BHS
54
Prolex Streptococcal latex
grouping kit
100%
Neisseria
15
API Rapid NH, Phadebact
Monoclonal GC
100%
Candida
11
API ID32C, Cornmeal, germ
tube
100%
APIID32A, API Coryne, gram
morphology
100%
S.aureus
CNS
Kleb, Ent spp, Citro,
Ser, Prot, Morg
Coryne &
Clostridium
Comments
2 Lancefield Grp G isolates:
50%/50% Str dysgalactiae subsp.
equisimilis/ Streptococcus
dysgalactiae subsp. dysgalactiae
Species Id sufficient
2 isolates ID to genus level
Vitek MS ID to species
PQ Validation of Media Type
ATCC Strains
Media Type
ID Correlation
Staph
Chocolate
Mannitol Salt
MacConkey
MRSA Chrome
100%
GNB
Blood
Chocolate
MacConkey
Chrome, ASAP, DCA, TCBS, CIN
100%
Ent/Strep
Chocolate
MacConkey
Neomycin & NAT
VRE selective agar
100%
Anaerobic &
Microaerophilic
H.influ, Neisseria
Camp
B.frag & Cl.per
Candida
4 ATCC, 2EQA, 36
isolates
100%
Choc
Choc, NYC
Choc, Blood
Blood, NEO, NAT
Blood
Malt
100%
BA: Blood Agar; Choc: Chocolate Agar; ASAP: Salmonella ASAP agar; CIN: Cefsulidin, Irgasin, Novobiocin
agar; TCBS: Thiosulfate citrate bile sucrose agar, DCA: Desoxycholate citrate agar
PQ: Effect of Culture Age and
Storage on ID
16 ATCC strains tested
• CO2, O2, 35 °C: 24hr,
48hr, 72hr
• Room temp: 24hr, 48h
• 4 °C: 24hr, 48hr
100% correlation at
24hr, 48hr
15/16 correlate at 72 hr
• N. gonorrhoeae ID
unreliable after 48hr (low
ID/fail to ID)
24
hr
4
8
72
hr
h
r
St aureus 25923
St epidermidis12228
Ent. faecalis 29212
Strep. pyogenes 19615
Strep. agalactiae 12386
Strep. pneumoniae
49619
E. coli 25922
Ser. marcescens 8100
Kleb. pneumoniae
700603
Ps aeruginosa 27853
Steno. maltophilia 13637
Proteus mirabilis 12453
Candida albicans 10231
H. influenzae 49249
Neis. gonorrhoeae 49226
Mor. catarrhalis (wild)
**
RT
@24
RT
@48
4˚C
@24
4˚C
@48
Workflow
Plate
Platereading:
Reading
Significant growth?
Centralised
Centralised ID/AST
Centralised ID
Barcode!
Day
1
Approx 1min/ID
Check!
TATs
Commensals
Report
Released
Purity Plates
Centralised AST
Inform Clinician
Check!
Centralised
Review ID/AST
Day
2
am
Workflow
Organism
Pre MALDI
Post MALDI
E.coli (Urines)
CPS Chrom ID
CPS Chrom ID
MRSA screen
MRSA Select
MRSA Select & Vitek MS
GNB
Vitek ID
Staph sp.
Pastorex
Tube coag
Vitek ID
Ent sp.
Vitek GP ID card
BHS
Latex group, Bacitracin
Haemophilus
XV, API
Strep
Optochin
Vitek ID
API
Candida
API
Germ tube
Cornmeal agar
N.gonorrhoeae
API NH
Phadebact
Vitek MS
Phadebact
Mould
Microscopy
Microscopy
Vitek MS
Bidirectional Interface
LIS
Vitek PC
Acquisition PC
Prep Station PC
Myla
Pros:
ID & AST (S, I, R) results available in Myla
Results transfer automatically – less transcription error
Multiple users access results in Myla
Micro medical staff access results
Cons:
Full Vitek functionality not available in Myla
Link to Vitek software
Cannot change S/I/R in Myla
MALDI ID Challenges/Algorithms
Subspecies/species group
–
–
–
–
Ent cloacae asburiae/cloacae 50%/50%: report as E.cloacae complex.
Proteus vulgaris/penneri 50%/50%: report as P.vulgaris/penneri
Strep dysgalactiae sub sp. dysgalactiae/Strep dysgal sub sp equisimilis
equisimilis
LIS translates both eg Strep. dysgal
Strep ID: if consistently fail ID: calibration required?
N. gonorrhoeae: continue to perform Phadebact monoclonal GC test
Organisms with low ID accuracy:
–
–
H.pylori
Haemophilus haemolyticus, Asp. niger, Aerococcus urinae, Peptoniphilus
Peptoniphilus asaccharolyticus
NLF ?E.coli: Shigella & E. coli 0157 ID as E. coli - perform Vitek ID
Brucella sp. not in database
Moulds: more Aspergillus species in database
Corynebacterium sp: more species in database
Vitek MS Preliminary Blood Culture
ID/AST
Prelim ID
No of isolates: 115
Growth at 4-6hr
Isolate types: GNB, Staph, Ent
97% correlation 6hr ID & 18-24hr ID
Discrepancies:
Prelim ID
Vitek MS ID
Pantoea dispersa
Pantoea agglomerans
S. epidermidis
S.epi & S.homins
S. capitis
S.warnerii
S. aureus: inform clinicians if cefoxitin resistant
Prelim AST
Growth at 4-6hr
8 performed
Only 1 antibiotic discrepancy: K.pneumo Cefepime prelim Vitek MIC <=1(3rd
gen ceph res), at full incubation Vitek MIC=8,
Encourages you to look at ID/AST early!
Blood Culture Workflow
Positive
Blood Culture
Gram stain
Culture
Day 1
Preliminary Vitek MS ID
@4-6hr growth
Direct Susceptibility
Prelim Vitek 2 AST
@ 4-6hr growth
Inform Clinician
Vitek MS ID
Day 2
am
Day 3
Inform Clinician
Vitek 2 AST
Inform Clinician
Clinical Impact: Case 1
Haematology patient
Persistent line related bacteraemia
Tx: Meropenem & Vancomycin
Sat pm: blood culture flag pos
Sun am: Vitek MS ID: Steno maltophilia
Change Tx : Stop Meropenem,
Add Timentin & Septrin
ID & appropriate treatment 1 day earlier using
Vitek MS
Clinical Impact: Case 2
90 yr old lady
Hospitalised 3 week, cardiac problems
Hospital acquired pneumonia, pip/tazo & vanc
Blood culture flag pos, gram=GNDC
Vitek MS ID 99.9% @ 6hr = N.meningitidis
Tx changed to Ceftriaxone & isolated
droplet precautions and contact tracing started
ID confirmed at full incubation by MALDI ID & PCR
Impact of early ID
Choice of appropriate Tx
Infection control measures implemented sooner
Public health notification
MALDI Impact on Respiratory TATs
Comparison of Cumulative % Turn around Time (TAT) for Respiratory Cultures
Q1 2013 vs Q1 2014
95%
100%
96%
99%
90%
90%
80%
80%
Cumulative % TAT
97%
100%
80%
Q1 2014
70%
60%
60%
Q1 2013
50%
40%
29%
30%
20%
10%
13%
3%
1%
6%
8%
0%
Day 0
Day 1
Day 2
Day 3
Day 4
Day 5
Days to reporting
Day 6
Day 7
Day 8
>8 days
TimeTime-saving:
Vitek MS & Myla: Pros
–
–
Rapid ID: Clinical Impact
Automated: Reduced hands on time
–
–
Reagent ordering, batch acceptance, IQC
Enhanced TATs
Future proof: full laboratory automation
Improved Quality: Clinical impact
–
accurate ID reporting, enhanced speciation
–
Consistent results: all staff & at all times
–
–
–
Broad applicability: all bacterial types, aerobes, anaerobes, fungi
fungi
Process small ( 16) or large nos (192 samples/run)
select from variety of media types & incubation conditions
–
ID/AST transfer automatically, not transcribing API/coag results
–
–
–
–
Reagents & disposables: target slides
ID/AST results
User login record
Auditing, quality
–
–
Low consumables cost: approx 40 cent/ID (Vitek ID approx 4€
4€)
Fewer reagents in use, order, batch accept, IQC
Blood culture: distinguish contaminants/pathogens
Only 1 colony required for ID
Flexible
Myla: Less transcription error
Traceability: records held indefinitely
Change in workflow:
workflow: rationalise, centralise ID/AST
Training: user friendly,
friendly, 1 ID method
Cost
Environmentally friendly:
friendly: less consumable waste
Small footprint
Lessons Learnt & Challenges
Challenge
Pre MALDI
Post MALDI
What did we do?
ID
Familiar names
Clinicians/MS
New/unfamiliar ID
-increased
speciation
Inform of users of change
Include comment on report: “Strep
agalactiae was previously reported by this laboratory
as Beta Haemolytic Strep Group B”
B”
Automation
of ID
Use of trad ID
methods: gram
morphology,
biochem, sero
tests
Over-reliance on
MALDI ID
-forget to check
gram, morph
Check colony morphology & ID
Human/numerical error
Algorithms: when to accept ID: 99.9%
Skills loss? Ongoing training & ed
ID/AST
Breakpoints
available
New ID/no
breakpoints
Check classification/breakpoint
committee: eg Str. pseudopneumoniae
ID/AST
Middleware
Vitek2 direct
LIMS
Myla: Vitek2/VitekMS/LIMS
Interface required
Issues: Responsibility Myla or LIMS?
AST review
Vitek 2
Myla lacks full
Vitek2 functionality
Remote access to Vitek2 through Myla.
Suggest for next Myla update?
Calibration
Biann PM
Breakdown
Multiple ID
methods
available
No access to
MALDI
1 ID system
Plan: Rearrange working day early/late
SLA with lab using same instrument
Small stock: Vitek ID cards
Has it been worth it?
Validation & training required in change over
Faster, better, cheaper: rapid, accurate, consistent ID
Still learning: unfamiliar IDs
Prompted change in work practices & workflow
More time to deal with unusual ID/AST
Future:
–
–
–
preliminary blood culture ID
Mycobacteria ID
detection of resistance: CPE
YES!
Thank you
[email protected]