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Analysis of Exposure Monitoring Results and
Lessons Learned – Pharmaceutical Unit
Operations
Maharshi Mehta, CSP, CIH
Prasanth K., CIH, Gopal C.
International Safety Systems, Inc.
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Pharma Forum 2016
AIHCE, Baltimore, May 25
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Objectives
Analyze API and surrogate monitoring results
Identify exposures at unit operations
Identify effectiveness of exposure controls
Identify exposure contributory factors
Reduce future exposure monitoring
Implement exposure controls based on lessons learned
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This study is beginning of long term study of
10000+ sampling results
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Results Origin
~ 5500 results of API and surrogates
100+ workplaces
21+ countries
Over a period of last 7 years
Personal and area sampling
APIs and surrogates
Only air samples considered, not wipe
11 ISS professionals were involved in collecting data
Only ISS collected data is considered at this time
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USA
Canada
Mexico
Brazil
Columbia
Argentina
Results Origin: Americas
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Results Origin : Asia
India
China
Singapore
Indonesia
Japan
Australia
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Austria
Germany
Netherland
France
Ireland
Portugal
Italy
Spain
UK
Results Origin: Europe
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Challenges
Result variability – GSD
Work practices dependent
Engineering controls and particulate
containment variability
Weight of API/surrogate
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Methods – API/Surrogate Sampling
and Analysis
Only validated methods from AIHA accredited lab with
pharma analytical expertise used and anlyzed
Written protocol for sampling used
– Sample flow rates/volume
– Media
– Avoiding cross contamination
– Each sample in zip-lock plastic bag
ISPE protocol used for surrogate monitoring
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Method – Data Analysis
Sampling notes entered in result sheets in Excel® was
available workplaces
Result sheets were standardized
– Sample id,
– Sample duration,
– Unit Operations
– Weight of API/Surrogate
– Controls provided
Results were sorted
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Unit operations for statistical
analyses
As a first stage of the analysis, unit operations with less
variability selected
– Laboratory scale weighing with controls (VBSE, or laboratory
fume hoods) and without controls
– Weighing dispensing in isolator
– Charging/discharging with split butterfly valve
– Weighing and dispensing in Laminar Flow Booth
– QC sampling
500 + results separated for above unit operations and for
weight of API/surrogate
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Statistical Analysis Tool used
IHSTAT®
– From AIHA Exposure Assessment Committee
IHData Analyst® (Bayesian Data Analysis)
Results for the unit operations were entered
Results were separated for weight range
95th%tile point estimate and GSD were determine
Lognormal distribution was determined
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Results and preliminary
conclusions – Qualifiers
The results are indicative and not confirmative
The conclusion from the results and lessons learned are
also indicative and not confirmative
Additional study is needed
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Personal exposure: Laboratory Scale
weighing in VBSE
Sample size: 10
Range of results: < 0.04 – 0.41 μg/m3
Sample Duration: 27 - 34 Minutes
Sample Weight: < 1 gram
GSD: 2.59
95th%ile – 1.57 μg/m3
Lognormal distribution hypothesis is
not rejected
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Personal exposure: Laboratory
weighing- no exposure controls
Sample size: 12
Range of results: 0.078 – 3.84 μg/m3
Sample Duration: 5 – 15 minutes
Sample Weight: < 1 gram
GSD – 4.48
95th%ile – 4.21 μg/m3
Lognormal distribution hypothesis is
not rejected
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Comparison of laboratory scale weighing
results
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Lessons Learned-Laboratory
Weighing
Initial Indication – For < grams of weighing
– OEB 5 (< ug/m3) and low OEB 4 (>1 ug/m3 and < 10 ug/m3)
compounds may require isolator
– VBE could be used for OEB 4 compounds coupled with sound
work-practices and PPE
Work-practices contributing to high exposures
– Using brush to clean surfaces
– Removing API container and other tools out without wipe
cleaning and without double plastic bags
All size and types of enclosures are used – use only
VBSE that meets specifications
– HEPA filter
– Port for removal of waste
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Personal exposure: Dispensing inside Isolator
(Weight Range 20 Kg – 40 Kg)
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Sample size: 16
Range of results: 0.025 μg/m3 –
4.6 μg/m3
Sample Duration: 30 – 60
minutes
Sample Weight : 20 – 40 Kg’s
GSD: 4.3
95th%ile exposure: 3.15 μg/m3
Lognormal distribution
hypothesis is not rejected
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Between the two glove ports of main dispensing
chamber (Weight range: 20 – 40 Kg)
Sample size: 9
Range of results: < 0.004 μg/m3
– 0.58 μg/m3
Sample Duration: 30 – 60
minutes
Sample Weight : 20 – 40 Kg
GSD: 3.84
95th%ile: 1.62 μg/m3
Lognormal distribution
hypothesis is not rejected
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Adjacent to RTP/Pass box (Weight range: 20
Kg – 40 Kg)
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Sample size: 18
Range of results: 0.055
μg/m3 – 2.43 μg/m3
Sample Duration: 30 – 60
minutes
Sample Weight : 20 – 40
Kg
GSD: 2.9
95th%ile: 1.88 μg/m3
Lognormal distribution
hypothesis is not rejected
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95th%ile for Dispensing inside Isolator (for
weight range of 20-40 Kg)
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Lessons Learned-Isolator
Do not assume exposure will be below OEB 4-5 APIs as
isolator is used.
Best of isolator would not reduce exposures if work
practices are not followed:
– API container when received has no contamination outside?
– In double plastic bags?
– Isolator integrity test before being used?
– Make-shift or real isolator?
– Disposable spatula and tools used? Wiped and in double plastic
bags before removing?
Develop detailed SOP on selecting, validating and using
isolator 21
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Personal Exposure: Charging/Discharging
using SBV (15 Kg – 60 Kg)
Sample size: 21
Results range: 0.028 μg/m3 - 4.26
μg/m3
Sample Duration: 30 – 90
minutes
Sample Weight: 15 kg – 60 kg
GSD : 4.17
95th %ile : 7.69 μg/m3
Lognormal distribution hypothesis is
not rejected
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Area Sample: Charging (weight range: 15 Kg –
60 Kg)
Sample size: 44
Results range: 0.032 – 21.6 μg/m3
Sample Duration: 30 – 90 minutes
Sample Weight 15 kg – 60 kg
GSD: 3.7
95th %ile: 3.53 μg/m3
Lognormal distribution hypothesis is
not rejected
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95th %ile results: Charging with SBV
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Lessons Learned - SBV
Don not assume installation of SBV will reduce
particulate emissions below OEB 4/5 OELs.
Selection, installation, use/misuse and maintenance of
SBV resulted in to high area concentrations
Carefully select supplier – initial cost may be high – long
term cost savings and exposure reduction benefits could
be significant
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Personal exposure: API Dispensing Inside
LFB (Weight: 500 grams – 1.5 kg )
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Sample size: 14
Results range: 0.077 μg/m3 - 128
μg/m3
Sample Duration: 15 – 60 min.
Sample GSD : 7.09
95th %tile : 94 μg/m3
Lognormal distribution hypothesis is
not rejected
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Personal exposure: API QC sampling inside
LFB (60 grams) (results from single site)
Sample size: 14
Results range: 0.108 μg/m3 –
15.9 μg/m3
Sample Duration: 15 – 30
minutes
GSD : 5.11
95th %ile: 21.1 μg/m3
Lognormal distribution
hypothesis is not rejected
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Personal exposure: API QC sampling inside
LFB (10-100 grams) – Multiple site data
Sample size: 23
Results range: 0.108 μg/m3 –
196 μg/m3
Sample Duration: 15 – 30
minutes
GSD : 8.05
95th %ile: 147 μg/m3
Lognormal distribution
hypothesis is not rejected
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Lessons Learned during
Dispensing/QC sampling under LFB
Focus on QC sampling same or even more than weighing and
dispensing
– Although API weight sampled is much lower than
weighing/dispensing, exposure is likely to be high
– Opening of containers for sampling – opening and closing of poly
bag and breathing zone near bags during QC sampling
– Standardization of exposure controls (LFB) is important
What pharma IH community believed is confirmed
– API exposure is not likely to be below < 50 μg/m3 during
weighing/dispensing in LFB
– Work practices significantly contribute to higher exposures
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Summary: 95th %ile personal exposure results
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Summary
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Limited sampling results analysis of the selected unit operations
identified:
– Personal exposure levels likely to occur
Additional data analysis and professional judgement would assist in
implementing controls and work-practices that would reduce
exposure below target levels
Add required data collection
– Sample weight
– Name/brand name/picture of controls
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Summary
PPE and RPE are standardized across all pharma sites for
some companies
– Same approach is needed for pharma containment
equipment also
Installation of equipment is not enough; SOPs, training
and maintenance are even more critical
Participate in exposure control selection process
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Plans
Invite IHs from other companies and form a group
Conduct similar data analyses with larger sample size
Address lessons learned from this limited study
– Weight range
– Specific details on engineering controls
Peer review
Publish
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Recognition
Terry Lane from Merck for review
Perry Logan for insights on analysis using BDA tool
Current and previous ISS team who diligently conducted
exposure monitoring
Ankit Sharma, Gopal and Prasanth from ISS who
complied and summarized results
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Volunteers participate in
rigorous study? Publication of
papers?
Thank you
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